About Andercore Andercore is the AI-native supplier of industrial materials for energy, infrastructure, and construction in wholesale and beyond. We trade with global suppliers and distribute to European customers on our own account. Our AI runs the full trade and distribution end-to-end: sourcing, quality, pricing, sales, logistics, and embedded financing. For the customer, it feels like buying from their preferred local supplier; for our partners, it is the most convenient and safe way to do business across borders. Behind it, our software and agentic AI do the heavy lifting that used to take an asset intensive supply chain with four or five intermediaries and weeks of manual coordination. Where we are today: Strong triple digit million euro turnover Seven European markets live 80+ people across Berlin (HQ), offices in London, Mumbai, and Shanghai $40M Series B just closed, $75M raised to date from Atomico, Project A, and Inven Capital, institutional financing from international banks. We are building the world's first and last industrial grade AI operating system for materials, redefining how global trade works in one of the largest and most essential industries on earth. As a Senior Backend Engineer, you will be a technical anchor across the team - expected to lead by example, shape architecture decisions, and raise the quality bar for everything we ship. You will operate with a high degree of autonomy while staying deeply embedded in collaborative engineering culture. Tech Stack: Java 21 (Spring Boot 3), Python, LangGraph, LLM APIs (OpenAI, Anthropic, Gemini), PostgreSQL, Kinesis, AWS, Terraform, GitHub Actions, Node.js, TypeScript, Next.js, React. What you will do Take ownership of complex backend systems from design through production - including architecture, implementation, and long term maintenance. Lead technical discussions, drive engineering decisions, and document trade offs clearly for the team. Mentor junior and mid level engineers through code reviews, pairing sessions, and structured feedback. Identify systemic weaknesses in our infrastructure, propose improvements, and execute on them with minimal direction. Collaborate across engineering, product, and data to align technical direction with business goals. Drive improvements to observability, reliability, and performance across our backend stack. Contribute to hiring by participating in technical interviews and helping define the engineering bar. Who you are 7+ years of backend engineering experience, with a track record of owning critical systems in production. Deep expertise in Java (Spring Boot) and strong familiarity with Python; comfortable navigating a polyglot codebase. Proven experience designing distributed systems - event driven architecture, microservices, data pipelines. Strong command of PostgreSQL and experience working with cloud native infrastructure on AWS. Someone who has been through hypergrowth or scale challenges and has the scars and instincts to show for it. A multiplier: you make the engineers around you better through your presence, feedback, and technical clarity. Comfortable operating in ambiguity - you can shape requirements, not just execute on them. We are an equal opportunity employer and welcome applicants from all backgrounds, regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, disability, or any other characteristic. We believe that diversity drives innovation, creativity, and collective strength.
26/07/2026
Full time
About Andercore Andercore is the AI-native supplier of industrial materials for energy, infrastructure, and construction in wholesale and beyond. We trade with global suppliers and distribute to European customers on our own account. Our AI runs the full trade and distribution end-to-end: sourcing, quality, pricing, sales, logistics, and embedded financing. For the customer, it feels like buying from their preferred local supplier; for our partners, it is the most convenient and safe way to do business across borders. Behind it, our software and agentic AI do the heavy lifting that used to take an asset intensive supply chain with four or five intermediaries and weeks of manual coordination. Where we are today: Strong triple digit million euro turnover Seven European markets live 80+ people across Berlin (HQ), offices in London, Mumbai, and Shanghai $40M Series B just closed, $75M raised to date from Atomico, Project A, and Inven Capital, institutional financing from international banks. We are building the world's first and last industrial grade AI operating system for materials, redefining how global trade works in one of the largest and most essential industries on earth. As a Senior Backend Engineer, you will be a technical anchor across the team - expected to lead by example, shape architecture decisions, and raise the quality bar for everything we ship. You will operate with a high degree of autonomy while staying deeply embedded in collaborative engineering culture. Tech Stack: Java 21 (Spring Boot 3), Python, LangGraph, LLM APIs (OpenAI, Anthropic, Gemini), PostgreSQL, Kinesis, AWS, Terraform, GitHub Actions, Node.js, TypeScript, Next.js, React. What you will do Take ownership of complex backend systems from design through production - including architecture, implementation, and long term maintenance. Lead technical discussions, drive engineering decisions, and document trade offs clearly for the team. Mentor junior and mid level engineers through code reviews, pairing sessions, and structured feedback. Identify systemic weaknesses in our infrastructure, propose improvements, and execute on them with minimal direction. Collaborate across engineering, product, and data to align technical direction with business goals. Drive improvements to observability, reliability, and performance across our backend stack. Contribute to hiring by participating in technical interviews and helping define the engineering bar. Who you are 7+ years of backend engineering experience, with a track record of owning critical systems in production. Deep expertise in Java (Spring Boot) and strong familiarity with Python; comfortable navigating a polyglot codebase. Proven experience designing distributed systems - event driven architecture, microservices, data pipelines. Strong command of PostgreSQL and experience working with cloud native infrastructure on AWS. Someone who has been through hypergrowth or scale challenges and has the scars and instincts to show for it. A multiplier: you make the engineers around you better through your presence, feedback, and technical clarity. Comfortable operating in ambiguity - you can shape requirements, not just execute on them. We are an equal opportunity employer and welcome applicants from all backgrounds, regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, disability, or any other characteristic. We believe that diversity drives innovation, creativity, and collective strength.
Multiverse Computing Multiverse Computing is a fast growing deep tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. We are the largest quantum software company in the EU, with 250+ employees worldwide building advanced AI and quantum solutions that help enterprises tackle complex, high impact challenges across industries such as finance, energy, manufacturing, telecom, and industrials. Our mission is to enable organizations to gain a meaningful competitive edge through cutting edge AI and quantum technologies. Why join us? We are a European deep tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide - compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50-80%. Joining us means working on cutting edge solutions that make AI faster, greener, and more accessible - and being part of a company often described as a "quantum AI unicorn in the making." This opportunity is to work in our offices in London, UK. We are looking for a talented Solutions Architect to join our pre sales team and bridge the gap between our technology and our customers' needs, crafting innovative, scalable, and robust AI powered solutions. Key requirements Previous experience in a technical partner pre sales or consulting role with a heavy emphasis on partner and customer facing interactions (i.e. Solutions Architect, Sales Engineer, Implementation Consultant) Excellent communication and presentation skills, able to interface effectively with technical and non technical stakeholders; experience writing technical proposals or responding to RFPs/tenders; experience running hands on product demos independently. Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g., SageMaker, Vertex AI, AzureML), including sovereign, on premise, and hybrid deployment models. Familiarity with MLOps tools and practices: CI/CD, monitoring, and orchestration frameworks (e.g., Kubeflow, Flyte, MLflow); proficiency with Docker and Kubernetes for AI workload containerization. Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model delivery formats (ONNX, .safetensors, Hugging Face model hub). Experience sizing GPU infrastructure for LLM inference or training workloads (memory, throughput, hardware tiers from A10 to H200). Experience benchmarking and evaluating LLM performance (accuracy, latency, throughput). Hands on coding skills in Python, SQL, and familiarity with ML libraries and frameworks (PyTorch, TensorFlow, Hugging Face). Bachelor's or master's degree in Computer Science, Data Science, Engineering, or related field. Must be available to travel as needed for meetings, conferences, and project requirements. Languages: English Preferred Qualifications Experience with Computer Vision models, Speech models, Vision Language models, and other modalities. Experience with AI model optimization, quantization, or deployment to edge devices. Hands on experience designing RAG pipelines and/or multi agent systems. Experience designing data architectures (batch & streaming) and working with big data technologies. Knowledge of data privacy and ethical considerations in AI, including GDPR compliance and familiarity with the EU AI Act. Location Applicants must have legal authorization to work in the country where the position is based. Perks & Benefits Equal pay guaranteed. Signing bonus. Relocation package (if applicable). Eligibility for educational budget according to internal policy. Hybrid opportunity. Flexible working hours. Language classes and discounted lunch options Working in a high paced environment, working on cutting edge technologies. Career plan. Opportunity to learn and teach. As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.
26/07/2026
Full time
Multiverse Computing Multiverse Computing is a fast growing deep tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. We are the largest quantum software company in the EU, with 250+ employees worldwide building advanced AI and quantum solutions that help enterprises tackle complex, high impact challenges across industries such as finance, energy, manufacturing, telecom, and industrials. Our mission is to enable organizations to gain a meaningful competitive edge through cutting edge AI and quantum technologies. Why join us? We are a European deep tech leader in quantum and AI, backed by major global strategic investors and strong EU support. Our groundbreaking technology is already transforming how AI is deployed worldwide - compressing large language models by up to 95% without losing accuracy and cutting inference costs by 50-80%. Joining us means working on cutting edge solutions that make AI faster, greener, and more accessible - and being part of a company often described as a "quantum AI unicorn in the making." This opportunity is to work in our offices in London, UK. We are looking for a talented Solutions Architect to join our pre sales team and bridge the gap between our technology and our customers' needs, crafting innovative, scalable, and robust AI powered solutions. Key requirements Previous experience in a technical partner pre sales or consulting role with a heavy emphasis on partner and customer facing interactions (i.e. Solutions Architect, Sales Engineer, Implementation Consultant) Excellent communication and presentation skills, able to interface effectively with technical and non technical stakeholders; experience writing technical proposals or responding to RFPs/tenders; experience running hands on product demos independently. Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g., SageMaker, Vertex AI, AzureML), including sovereign, on premise, and hybrid deployment models. Familiarity with MLOps tools and practices: CI/CD, monitoring, and orchestration frameworks (e.g., Kubeflow, Flyte, MLflow); proficiency with Docker and Kubernetes for AI workload containerization. Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model delivery formats (ONNX, .safetensors, Hugging Face model hub). Experience sizing GPU infrastructure for LLM inference or training workloads (memory, throughput, hardware tiers from A10 to H200). Experience benchmarking and evaluating LLM performance (accuracy, latency, throughput). Hands on coding skills in Python, SQL, and familiarity with ML libraries and frameworks (PyTorch, TensorFlow, Hugging Face). Bachelor's or master's degree in Computer Science, Data Science, Engineering, or related field. Must be available to travel as needed for meetings, conferences, and project requirements. Languages: English Preferred Qualifications Experience with Computer Vision models, Speech models, Vision Language models, and other modalities. Experience with AI model optimization, quantization, or deployment to edge devices. Hands on experience designing RAG pipelines and/or multi agent systems. Experience designing data architectures (batch & streaming) and working with big data technologies. Knowledge of data privacy and ethical considerations in AI, including GDPR compliance and familiarity with the EU AI Act. Location Applicants must have legal authorization to work in the country where the position is based. Perks & Benefits Equal pay guaranteed. Signing bonus. Relocation package (if applicable). Eligibility for educational budget according to internal policy. Hybrid opportunity. Flexible working hours. Language classes and discounted lunch options Working in a high paced environment, working on cutting edge technologies. Career plan. Opportunity to learn and teach. As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply.
Senior Full Stack Developer Reporting to: Engineering Manager Office Environment: Hybrid (minimum two days per week) Type: Full time, permanent Join Our Mission Skip the queue. Shape the future. See real impact. At QuantSpark, we're transforming how data and AI serve society. We combine the analytical discipline of strategy consulting with the pace and ownership of a scale-up. That means you'll work directly on the problems that matter most-whether combating economic crime, modernising government services, or accelerating commercial growth for FTSE 100 companies. Here, you'll compress 5-10 years of traditional career progression into 2-3 years. From day one, you'll lead end-to-end projects, access leadership directly (including the CEO), and build cross-industry expertise that usually takes a decade to gain. We don't just develop - we build, own, and scale solutions that shape the organisations we work with and have meaningful societal impact. Our Client Portfolio We partner with forward-thinking organisations across sectors: Private Equity & Financial Services: Portfolio analytics, AI-powered value creation, and risk management tools for global investment and wealth firms. Retail & Consumer: Pricing optimisation, inventory efficiency, and personalised engagement for major UK retailers and brands. Asset Management: Advanced investment platforms and automated risk management for asset managers. Public Sector: Trusted by multiple UK government departments for fraud analytics, predictive maintenance, and supply chain optimisation. SaaS & Manufacturing: Sector-spanning technology transformation for SaaS innovators and manufacturers. The Role You'll design, build, and scale web applications across backend and frontend, owning projects from ideation through to production - architecture, CI/CD, cloud infrastructure, monitoring, the lot. We're a small team that punches well above its weight. Client feedback is outstanding, and every engineer here has a visible impact. Day to day, you'll: Architect and deliver scalable, secure software for commercial clients across multiple sectors. Assess technical trade-offs and guide design decisions across projects. Write, review, and own high-quality code - primarily Python (Flask, FastAPI, or Django) and JavaScript/TypeScript (React preferred). Build and maintain RESTful APIs and modern frontends. Work directly with clients - communicating clearly, understanding the why behind what you're building. Feed into new client proposals and help improve internal engineering processes. Mentor junior developers through code reviews, pairing, and knowledge-sharing. Use AI coding agents to accelerate delivery whilst maintaining correctness and security. AI Engineering (Required) Hands-on experience with AI coding agents in day-to-day work - prompting, iterating, reviewing generated code, validating outputs. Working understanding of LLM fundamentals and limitations (hallucinations, context windows, evaluation). Familiarity with prompting patterns, tool use, and concepts like RAG and embeddings. Awareness of safety and privacy concerns when using AI tools (secrets, PII, licensing). Ability to integrate AI into your workflow without compromising code quality. What We're Looking For 5+ years' experience as a full-stack engineer. Strong track record delivering enterprise-grade web applications and APIs. Confident across Python backend frameworks and modern frontend (React/TypeScript). Comfortable owning the full product lifecycle. Proactive, accountable, and effective in small, fast-moving teams. Clear communicator across technical and non-technical audiences. Keen to broaden into a generalist whilst deepening your core strengths - not just staying in one lane. What We Offer Tech ownership and autonomy from day one. High-impact work - you'll see real results within months, not years. Room to innovate, not just maintain. A small, collaborative team that owns problems end to end and learns fast. Clients ambitious enough to rethink how they use data and technology. A clear path to leading technical programmes and shaping strategy - growth here is earned, not queued. Perks & Benefits £6,000 annual training & conference budget to stay at the cutting edge Up to 6% matched pension for long-term financial security Comprehensive private healthcare via Vitality EMI share options scheme - own a piece of the growth you help create Work from anywhere in the world for up to 1 month/year 25 days holiday + buy/sell up to 5 additional days Cycle-to-work scheme for sustainable commuting Central London office stocked with refreshments, socials, and vibrant atmosphere Exclusive discounts on retail, travel, tech & fitness memberships Access to cutting-edge tools, platforms, and regular tech talks & innovation time Equal Opportunities We're building a team that benefits from different perspectives, experiences, and ways of thinking. We know that great talent comes from all backgrounds, and we encourage applications from everyone who meets the role requirements, regardless of age, disability, gender identity, race, religion, sexuality, or any other characteristic. If you're unsure whether you're a perfect fit but believe you can do the job well, we'd still like to hear from you. We hire based on your skills, potential, and ability to contribute to our team, and we're committed to a fair and objective selection process for all candidates.
26/07/2026
Full time
Senior Full Stack Developer Reporting to: Engineering Manager Office Environment: Hybrid (minimum two days per week) Type: Full time, permanent Join Our Mission Skip the queue. Shape the future. See real impact. At QuantSpark, we're transforming how data and AI serve society. We combine the analytical discipline of strategy consulting with the pace and ownership of a scale-up. That means you'll work directly on the problems that matter most-whether combating economic crime, modernising government services, or accelerating commercial growth for FTSE 100 companies. Here, you'll compress 5-10 years of traditional career progression into 2-3 years. From day one, you'll lead end-to-end projects, access leadership directly (including the CEO), and build cross-industry expertise that usually takes a decade to gain. We don't just develop - we build, own, and scale solutions that shape the organisations we work with and have meaningful societal impact. Our Client Portfolio We partner with forward-thinking organisations across sectors: Private Equity & Financial Services: Portfolio analytics, AI-powered value creation, and risk management tools for global investment and wealth firms. Retail & Consumer: Pricing optimisation, inventory efficiency, and personalised engagement for major UK retailers and brands. Asset Management: Advanced investment platforms and automated risk management for asset managers. Public Sector: Trusted by multiple UK government departments for fraud analytics, predictive maintenance, and supply chain optimisation. SaaS & Manufacturing: Sector-spanning technology transformation for SaaS innovators and manufacturers. The Role You'll design, build, and scale web applications across backend and frontend, owning projects from ideation through to production - architecture, CI/CD, cloud infrastructure, monitoring, the lot. We're a small team that punches well above its weight. Client feedback is outstanding, and every engineer here has a visible impact. Day to day, you'll: Architect and deliver scalable, secure software for commercial clients across multiple sectors. Assess technical trade-offs and guide design decisions across projects. Write, review, and own high-quality code - primarily Python (Flask, FastAPI, or Django) and JavaScript/TypeScript (React preferred). Build and maintain RESTful APIs and modern frontends. Work directly with clients - communicating clearly, understanding the why behind what you're building. Feed into new client proposals and help improve internal engineering processes. Mentor junior developers through code reviews, pairing, and knowledge-sharing. Use AI coding agents to accelerate delivery whilst maintaining correctness and security. AI Engineering (Required) Hands-on experience with AI coding agents in day-to-day work - prompting, iterating, reviewing generated code, validating outputs. Working understanding of LLM fundamentals and limitations (hallucinations, context windows, evaluation). Familiarity with prompting patterns, tool use, and concepts like RAG and embeddings. Awareness of safety and privacy concerns when using AI tools (secrets, PII, licensing). Ability to integrate AI into your workflow without compromising code quality. What We're Looking For 5+ years' experience as a full-stack engineer. Strong track record delivering enterprise-grade web applications and APIs. Confident across Python backend frameworks and modern frontend (React/TypeScript). Comfortable owning the full product lifecycle. Proactive, accountable, and effective in small, fast-moving teams. Clear communicator across technical and non-technical audiences. Keen to broaden into a generalist whilst deepening your core strengths - not just staying in one lane. What We Offer Tech ownership and autonomy from day one. High-impact work - you'll see real results within months, not years. Room to innovate, not just maintain. A small, collaborative team that owns problems end to end and learns fast. Clients ambitious enough to rethink how they use data and technology. A clear path to leading technical programmes and shaping strategy - growth here is earned, not queued. Perks & Benefits £6,000 annual training & conference budget to stay at the cutting edge Up to 6% matched pension for long-term financial security Comprehensive private healthcare via Vitality EMI share options scheme - own a piece of the growth you help create Work from anywhere in the world for up to 1 month/year 25 days holiday + buy/sell up to 5 additional days Cycle-to-work scheme for sustainable commuting Central London office stocked with refreshments, socials, and vibrant atmosphere Exclusive discounts on retail, travel, tech & fitness memberships Access to cutting-edge tools, platforms, and regular tech talks & innovation time Equal Opportunities We're building a team that benefits from different perspectives, experiences, and ways of thinking. We know that great talent comes from all backgrounds, and we encourage applications from everyone who meets the role requirements, regardless of age, disability, gender identity, race, religion, sexuality, or any other characteristic. If you're unsure whether you're a perfect fit but believe you can do the job well, we'd still like to hear from you. We hire based on your skills, potential, and ability to contribute to our team, and we're committed to a fair and objective selection process for all candidates.
Skills Required Proficiency with Git and cloud platforms, specifically AWS and GCP. Hands-on experience with scripting languages such as Python, Go, or Node.js is essential. Responsibilities You will be responsible for deploying updates and fixes while ensuring high service uptime. Principal Software Engineer, Nifty Gateway Senior/Staff Software Engineer, Data Platform 108 E 16th Street, New York, NY 10003
26/07/2026
Full time
Skills Required Proficiency with Git and cloud platforms, specifically AWS and GCP. Hands-on experience with scripting languages such as Python, Go, or Node.js is essential. Responsibilities You will be responsible for deploying updates and fixes while ensuring high service uptime. Principal Software Engineer, Nifty Gateway Senior/Staff Software Engineer, Data Platform 108 E 16th Street, New York, NY 10003
Skills Required Proficiency with Git and cloud platforms, specifically AWS and GCP. Hands-on experience with scripting languages such as Python, Go, or Node.js is essential. Responsibilities You will be responsible for deploying updates and fixes while ensuring high service uptime. Principal Software Engineer, Nifty Gateway Senior/Staff Software Engineer, Data Platform 108 E 16th Street, New York, NY 10003
26/07/2026
Full time
Skills Required Proficiency with Git and cloud platforms, specifically AWS and GCP. Hands-on experience with scripting languages such as Python, Go, or Node.js is essential. Responsibilities You will be responsible for deploying updates and fixes while ensuring high service uptime. Principal Software Engineer, Nifty Gateway Senior/Staff Software Engineer, Data Platform 108 E 16th Street, New York, NY 10003
About client Well-funded and fast-growing deep-tech company founded in 2019. We are the biggest Quantum Software company in the EU. They are also one of the 100 most promising companies in AI in the world (according to CB Insights, 2023) with 150+ employees and growing, fully multicultural and international. Requirements Systems Programming Expertise: 10+ years of software engineering experience with strong proficiency in Python. You must be comfortable building system agents, APIs, and CLI tools. Deep Kubernetes Knowledge: You understand K8s internals beyond simple deployment. Experience with Custom Resource Definitions (CRDs), Operators, and the Kubernetes API server architecture. GPU Ecosystem Experience: Hands on experience managing NVIDIA GPU clusters. Familiarity with NVIDIA drivers, CUDA toolkit, and the container runtime (NVIDIA Container Toolkit). Linux Internals: Deep understanding of the Linux kernel, cgroups, namespaces, and system performance tuning. Infrastructure as Code: Mastery of declarative infrastructure tools (Terraform, Ansible) but with a focus on provisioning physical hardware rather than just cloud VMs. Problem Solving: A proven track record of debugging complex distributed systems where the root cause could be code, network, or silicon. Preferred qualifications HPC Background: Experience working with traditional supercomputing schedulers (Slurm, PBS) or modern batch schedulers (Volcano, Kueue, Ray). Bare Metal Provisioning: Experience with tools like Cluster API (CAPI), Metal3, Tinkerbell, Canonical MaaS, or OpenStack Ironic. High Speed Networking: Knowledge of RDMA, InfiniBand, GPUDirect, and how to expose these technologies to containerized workloads. AI/ML Familiarity: Understanding of how distributed training works (e.g., PyTorch Distributed, Megatron LM, DeepSpeed) and the infrastructure requirements of Large Language Models (LLMs). Observability: Experience building monitoring for hardware health (DCGM) and distributed tracing for long running jobs. Location Applicants must have legal authorization to work in the country where the position is based. What you will be doing Building the Control Plane: Designing and developing the software layer (APIs, Controllers, Agents) that automates the lifecycle of bare metal AI infrastructure. Orchestrating High Scale Compute: Architecting scheduling solutions for large scale distributed training jobs across massive clusters of GPUs (NVIDIA H200/B200/B300), ensuring efficient bin packing and gang scheduling. Optimizing the Fabric: Tuning the software defined networking layer to support low latency interconnects (InfiniBand/RDMA/RoCEv2) essential for multi node training. Developing Kubernetes Extensions: Writing custom Kubernetes Operators and CRDs to abstract complex hardware realities (topology awareness, GPU partitioning) into usable interfaces for our Data Scientists. Hardware Level Debugging: Investigating and resolving deep systems issues, ranging from PCIe bus errors and NCCL communication timeouts to kernel panics on bare metal nodes. Defining Standards: Creating the "Golden Image" for AI workloads, managing drivers, firmware, and OS optimizations to squeeze maximum performance out of the hardware. Perks & Benefits Indefinite contract. Equal pay guaranteed. Variable performance bonus. Signing bonus. Relocation package (if applicable). Private health insurance. Eligibility for educational budget according to internal policy. Hybrid opportunity. Flexible working hours. Working in a high paced environment, working on cutting edge technologies. Career plan. Opportunity to learn and teach. Progressive Company. Happy people culture.
26/07/2026
Full time
About client Well-funded and fast-growing deep-tech company founded in 2019. We are the biggest Quantum Software company in the EU. They are also one of the 100 most promising companies in AI in the world (according to CB Insights, 2023) with 150+ employees and growing, fully multicultural and international. Requirements Systems Programming Expertise: 10+ years of software engineering experience with strong proficiency in Python. You must be comfortable building system agents, APIs, and CLI tools. Deep Kubernetes Knowledge: You understand K8s internals beyond simple deployment. Experience with Custom Resource Definitions (CRDs), Operators, and the Kubernetes API server architecture. GPU Ecosystem Experience: Hands on experience managing NVIDIA GPU clusters. Familiarity with NVIDIA drivers, CUDA toolkit, and the container runtime (NVIDIA Container Toolkit). Linux Internals: Deep understanding of the Linux kernel, cgroups, namespaces, and system performance tuning. Infrastructure as Code: Mastery of declarative infrastructure tools (Terraform, Ansible) but with a focus on provisioning physical hardware rather than just cloud VMs. Problem Solving: A proven track record of debugging complex distributed systems where the root cause could be code, network, or silicon. Preferred qualifications HPC Background: Experience working with traditional supercomputing schedulers (Slurm, PBS) or modern batch schedulers (Volcano, Kueue, Ray). Bare Metal Provisioning: Experience with tools like Cluster API (CAPI), Metal3, Tinkerbell, Canonical MaaS, or OpenStack Ironic. High Speed Networking: Knowledge of RDMA, InfiniBand, GPUDirect, and how to expose these technologies to containerized workloads. AI/ML Familiarity: Understanding of how distributed training works (e.g., PyTorch Distributed, Megatron LM, DeepSpeed) and the infrastructure requirements of Large Language Models (LLMs). Observability: Experience building monitoring for hardware health (DCGM) and distributed tracing for long running jobs. Location Applicants must have legal authorization to work in the country where the position is based. What you will be doing Building the Control Plane: Designing and developing the software layer (APIs, Controllers, Agents) that automates the lifecycle of bare metal AI infrastructure. Orchestrating High Scale Compute: Architecting scheduling solutions for large scale distributed training jobs across massive clusters of GPUs (NVIDIA H200/B200/B300), ensuring efficient bin packing and gang scheduling. Optimizing the Fabric: Tuning the software defined networking layer to support low latency interconnects (InfiniBand/RDMA/RoCEv2) essential for multi node training. Developing Kubernetes Extensions: Writing custom Kubernetes Operators and CRDs to abstract complex hardware realities (topology awareness, GPU partitioning) into usable interfaces for our Data Scientists. Hardware Level Debugging: Investigating and resolving deep systems issues, ranging from PCIe bus errors and NCCL communication timeouts to kernel panics on bare metal nodes. Defining Standards: Creating the "Golden Image" for AI workloads, managing drivers, firmware, and OS optimizations to squeeze maximum performance out of the hardware. Perks & Benefits Indefinite contract. Equal pay guaranteed. Variable performance bonus. Signing bonus. Relocation package (if applicable). Private health insurance. Eligibility for educational budget according to internal policy. Hybrid opportunity. Flexible working hours. Working in a high paced environment, working on cutting edge technologies. Career plan. Opportunity to learn and teach. Progressive Company. Happy people culture.
Join us and shape the future of risk technology with your expertise in data engineering and software development. You will have the opportunity to push boundaries, innovate, and make a meaningful impact on our business. We value diversity, inclusion, and respect, fostering a collaborative environment where your ideas matter. Experience career growth and mobility while working with market-leading technology products. Be part of a team that thrives on creativity and continuous improvement. As a Senior Lead Software Engineer at JPMorgan Chase within the Data Platform & Strategy team within Corporate Risk Technology, you will design, build, and enhance advanced data engineering solutions. You will play a pivotal role in delivering secure, stable, and scalable technology products that support our business objectives. You will collaborate with agile teams, contribute to technical strategy, and drive innovation across multiple technical areas. Your work will help shape the team culture and the impact of our technology solutions. Job Responsibilities Execute creative software solutions, design, development, and technical troubleshooting to solve complex problems Develop secure, high-quality production code for data-intensive applications and review code written by others Identify opportunities to automate remediation of recurring issues and improve operational stability Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentials Drive communities of practice across Software Engineering to promote new and leading-edge technologies Foster a team culture of opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills Proficiency in Engineering & Architecture, AI/ML, with hands on experience designing, implementing, testing, and ensuring operational stability of large scale enterprise data platforms Advanced skills in one or more programming languages such as Java, Python, C/C++, or C# Practical experience delivering system design, application development, testing, and operational stability Working knowledge of relational and NoSQL databases and data lake architectures Experience developing, debugging, and maintaining code with modern programming languages and database querying languages Experience in large scale data processing, microservices, API design, Kafka, Redis, MemCached, Observability tools (Dynatrace, Splunk, Grafana), and Orchestration tools (Airflow, Temporal) Proficiency in automation, continuous delivery methods, and all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies, CI/CD, application resiliency, and security Practical cloud native experience Preferred Qualifications, Capabilities, and Skills Experience with modern data technologies such as Databricks or Snowflake Hands on experience with Spark/PySpark and other big data processing technologies Demonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial intelligence, machine learning, or mobile Knowledge of the financial services industry and their IT systems
25/07/2026
Full time
Join us and shape the future of risk technology with your expertise in data engineering and software development. You will have the opportunity to push boundaries, innovate, and make a meaningful impact on our business. We value diversity, inclusion, and respect, fostering a collaborative environment where your ideas matter. Experience career growth and mobility while working with market-leading technology products. Be part of a team that thrives on creativity and continuous improvement. As a Senior Lead Software Engineer at JPMorgan Chase within the Data Platform & Strategy team within Corporate Risk Technology, you will design, build, and enhance advanced data engineering solutions. You will play a pivotal role in delivering secure, stable, and scalable technology products that support our business objectives. You will collaborate with agile teams, contribute to technical strategy, and drive innovation across multiple technical areas. Your work will help shape the team culture and the impact of our technology solutions. Job Responsibilities Execute creative software solutions, design, development, and technical troubleshooting to solve complex problems Develop secure, high-quality production code for data-intensive applications and review code written by others Identify opportunities to automate remediation of recurring issues and improve operational stability Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentials Drive communities of practice across Software Engineering to promote new and leading-edge technologies Foster a team culture of opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills Proficiency in Engineering & Architecture, AI/ML, with hands on experience designing, implementing, testing, and ensuring operational stability of large scale enterprise data platforms Advanced skills in one or more programming languages such as Java, Python, C/C++, or C# Practical experience delivering system design, application development, testing, and operational stability Working knowledge of relational and NoSQL databases and data lake architectures Experience developing, debugging, and maintaining code with modern programming languages and database querying languages Experience in large scale data processing, microservices, API design, Kafka, Redis, MemCached, Observability tools (Dynatrace, Splunk, Grafana), and Orchestration tools (Airflow, Temporal) Proficiency in automation, continuous delivery methods, and all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies, CI/CD, application resiliency, and security Practical cloud native experience Preferred Qualifications, Capabilities, and Skills Experience with modern data technologies such as Databricks or Snowflake Hands on experience with Spark/PySpark and other big data processing technologies Demonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial intelligence, machine learning, or mobile Knowledge of the financial services industry and their IT systems
A leading global financial services firm seeks a Senior Lead Software Engineer to design and enhance data engineering solutions. You'll collaborate with agile teams to develop innovative technology products, contributing to technical strategy and fostering a culture of diversity and inclusion. Ideal candidates will possess advanced programming skills, experience with large-scale data processing, and a solid background in AI/ML. Join us to innovate in an environment that values your ideas and career growth.
25/07/2026
Full time
A leading global financial services firm seeks a Senior Lead Software Engineer to design and enhance data engineering solutions. You'll collaborate with agile teams to develop innovative technology products, contributing to technical strategy and fostering a culture of diversity and inclusion. Ideal candidates will possess advanced programming skills, experience with large-scale data processing, and a solid background in AI/ML. Join us to innovate in an environment that values your ideas and career growth.
Senior Software Engineer, Cloud and Analytics Platform Join our development team and play a key role in our expanding Engineering Services function. You'll help enhance our innovative analytics and rapid delivery platform as we digitise and modernise the Commodities and Global Markets platforms and applications. Leveraging cutting edge technologies, you'll enable the business to scale and seize new opportunities with agility. At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You'll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes. What role will you play? You'll combine hands on coding with thoughtful system design and a culture of continuous improvement to deliver resilient, highly scalable technology that keeps our Commodities and Global Markets business ahead of the curve. Leveraging best in class open source frameworks and cloud native services, you'll design, build and run the distributed compute and data science platform that powers Macquarie's trading and analytics workflows. Working side by side with quantitative analysts and trading desks worldwide, you'll transform research concepts into production ready solutions - automating infrastructure with Python, Java or Scala and embedding AI driven capabilities that boost developer productivity and unlock new insights. What you offer Hands on experience with public cloud platforms - ideally AWS - plus Kubernetes and infrastructure as code tooling (Terraform, CloudFormation, Helm or similar) A proven track record of designing, building and running production grade distributed compute or data science platforms Strong interpersonal and communication skills, with the confidence to partner directly with quantitative analysts, traders and other stakeholders A self motivated, inquisitive mindset and a methodical, agile approach to problem solving Solid Linux administration and networking skills, plus Git based workflows Familiarity with Apache Airflow, Dask and JupyterHub Experience with modern build systems (especially Bazel) and CI/CD pipelines. We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply. What we offer At Macquarie, you're empowered to shape a career that's rewarding in all the ways that matter most to you. Macquarie employees can access a wide range of benefits which, depending on eligibility criteria, include: 1 wellbeing leave day per year and a minimum of 25 days of annual leave. 26 weeks' paid parental leave for primary caregivers along with 12 days of paid transition leave upon return to work and 6 weeks' paid leave for secondary caregivers Paid fertility leave for those undergoing or supporting fertility treatment 2 days of paid volunteer leave and donation matching Access to a wide range of salary sacrificing options Benefits and initiatives to support your physical, mental and financial wellbeing including comprehensive medical and life insurance cover Access to our Employee Assistance Program, a robust behavioural health network with counselling and coaching services Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription Access to company funded emergency and backup dependent care services Recognition and service awards Hybrid and flexible working arrangements, dependent on role Reimbursement for work from home equipment About Technology Technology enables every aspect of Macquarie, for our people, our customers and our communities. We're a global team that is passionate about accelerating the digital enterprise, connecting people and data, building platforms and applications and designing tomorrow's technology solutions. Our commitment to diversity, equity and inclusion We are committed to providing a working environment that embraces diversity, equity, and inclusion. We encourage people from all backgrounds to apply regardless of their identity, including age, disability, neurodiversity, gender (including gender identity or expression), sexual orientation, marriage or civil partnership, pregnancy, parental status, race (including ethnic or national origin), religion or belief, or socio economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process. Our aim is to provide reasonable adjustments to individuals as required during the recruitment process and in the course of employment. If you require additional assistance, please let us know during the application process.
25/07/2026
Full time
Senior Software Engineer, Cloud and Analytics Platform Join our development team and play a key role in our expanding Engineering Services function. You'll help enhance our innovative analytics and rapid delivery platform as we digitise and modernise the Commodities and Global Markets platforms and applications. Leveraging cutting edge technologies, you'll enable the business to scale and seize new opportunities with agility. At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You'll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes. What role will you play? You'll combine hands on coding with thoughtful system design and a culture of continuous improvement to deliver resilient, highly scalable technology that keeps our Commodities and Global Markets business ahead of the curve. Leveraging best in class open source frameworks and cloud native services, you'll design, build and run the distributed compute and data science platform that powers Macquarie's trading and analytics workflows. Working side by side with quantitative analysts and trading desks worldwide, you'll transform research concepts into production ready solutions - automating infrastructure with Python, Java or Scala and embedding AI driven capabilities that boost developer productivity and unlock new insights. What you offer Hands on experience with public cloud platforms - ideally AWS - plus Kubernetes and infrastructure as code tooling (Terraform, CloudFormation, Helm or similar) A proven track record of designing, building and running production grade distributed compute or data science platforms Strong interpersonal and communication skills, with the confidence to partner directly with quantitative analysts, traders and other stakeholders A self motivated, inquisitive mindset and a methodical, agile approach to problem solving Solid Linux administration and networking skills, plus Git based workflows Familiarity with Apache Airflow, Dask and JupyterHub Experience with modern build systems (especially Bazel) and CI/CD pipelines. We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply. What we offer At Macquarie, you're empowered to shape a career that's rewarding in all the ways that matter most to you. Macquarie employees can access a wide range of benefits which, depending on eligibility criteria, include: 1 wellbeing leave day per year and a minimum of 25 days of annual leave. 26 weeks' paid parental leave for primary caregivers along with 12 days of paid transition leave upon return to work and 6 weeks' paid leave for secondary caregivers Paid fertility leave for those undergoing or supporting fertility treatment 2 days of paid volunteer leave and donation matching Access to a wide range of salary sacrificing options Benefits and initiatives to support your physical, mental and financial wellbeing including comprehensive medical and life insurance cover Access to our Employee Assistance Program, a robust behavioural health network with counselling and coaching services Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription Access to company funded emergency and backup dependent care services Recognition and service awards Hybrid and flexible working arrangements, dependent on role Reimbursement for work from home equipment About Technology Technology enables every aspect of Macquarie, for our people, our customers and our communities. We're a global team that is passionate about accelerating the digital enterprise, connecting people and data, building platforms and applications and designing tomorrow's technology solutions. Our commitment to diversity, equity and inclusion We are committed to providing a working environment that embraces diversity, equity, and inclusion. We encourage people from all backgrounds to apply regardless of their identity, including age, disability, neurodiversity, gender (including gender identity or expression), sexual orientation, marriage or civil partnership, pregnancy, parental status, race (including ethnic or national origin), religion or belief, or socio economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process. Our aim is to provide reasonable adjustments to individuals as required during the recruitment process and in the course of employment. If you require additional assistance, please let us know during the application process.
About the Hiring Team: Tencent Overseas IT is dedicated to empowering Tencent's rapid global growth with future ready, global IT platforms, applications and services. We lead the overseas IT strategy, architecture, roadmap, and execution to satisfy internal and external customers while building a world class global IT team. Position Overview We are seeking a Sr. AI Software Engineer to architect and lead the development of a groundbreaking in house AI Coding Agent. This tool will act as a force multiplier for our game studios' development pipelines, accelerating our developers by providing intelligent code generation, in depth code inspection, and advanced debugging capabilities. Duties and Responsibilities Architect and lead the development of a robust, scalable AI Coding Agent tailored to our game development workflows (primarily for UE/Unity based games in C++, C#, and other relevant languages). Integrate the AI agent directly into developer IDEs (like Visual Studio, VS Code) and our game engines (e.g., Unreal Engine, Unity). Collaborate closely with game developers, technical artists, and engine programmers to gather requirements, understand pain points, and iterate on the tool's features. Optimize model inference speed and resource usage to ensure the agent is fast and responsive without hindering developer workstations. Mentor other engineers on the team and establish best practices for AI development, agentic RAG and agent based architectures. Stay current with the latest research in AI, code generation, and LLMs to continuously improve the agent's capabilities. Who We Look For Customer oriented and able to thrive in a fast paced environment. Positive, self motivated, and passionate. Independent, insistent, and open minded. Great team player, dependable and autonomous. Data driven decision maker. Requirements 8+ years of professional software engineering experience, with a strong background in Python, TypeScript, C++, or C#. Proven experience building complex AI systems, with hands on expertise in Retrieval Augmented Generation (RAG) and AI Agent architectures. Deep, hands on experience with LLM APIs and/or fine tuning and serving open source models. Strong understanding of prompt engineering and context engineering to maximize model relevance and accuracy. Excellent problem solving skills and the ability to work on complex, ambiguous projects, delivering results in a fast paced environment. Experience with observability, performance optimization, and production incident response. Bachelor's degree in Computer Science, AI, Machine Learning, or a related technical field (or equivalent practical experience). Preferred Qualifications Direct experience building a Coding Agent or similar developer facing AI tool (IDE plugins, CLI, etc.). Experience in the game development industry or with game engines (Unreal, Unity). Equal Employment Opportunity: At Tencent, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and community. We foster an environment where every employee feels supported and inspired to achieve individual and common goals. Tencent is a world leading internet and technology company that develops innovative products and services to improve the quality of life for people around the world.
25/07/2026
Full time
About the Hiring Team: Tencent Overseas IT is dedicated to empowering Tencent's rapid global growth with future ready, global IT platforms, applications and services. We lead the overseas IT strategy, architecture, roadmap, and execution to satisfy internal and external customers while building a world class global IT team. Position Overview We are seeking a Sr. AI Software Engineer to architect and lead the development of a groundbreaking in house AI Coding Agent. This tool will act as a force multiplier for our game studios' development pipelines, accelerating our developers by providing intelligent code generation, in depth code inspection, and advanced debugging capabilities. Duties and Responsibilities Architect and lead the development of a robust, scalable AI Coding Agent tailored to our game development workflows (primarily for UE/Unity based games in C++, C#, and other relevant languages). Integrate the AI agent directly into developer IDEs (like Visual Studio, VS Code) and our game engines (e.g., Unreal Engine, Unity). Collaborate closely with game developers, technical artists, and engine programmers to gather requirements, understand pain points, and iterate on the tool's features. Optimize model inference speed and resource usage to ensure the agent is fast and responsive without hindering developer workstations. Mentor other engineers on the team and establish best practices for AI development, agentic RAG and agent based architectures. Stay current with the latest research in AI, code generation, and LLMs to continuously improve the agent's capabilities. Who We Look For Customer oriented and able to thrive in a fast paced environment. Positive, self motivated, and passionate. Independent, insistent, and open minded. Great team player, dependable and autonomous. Data driven decision maker. Requirements 8+ years of professional software engineering experience, with a strong background in Python, TypeScript, C++, or C#. Proven experience building complex AI systems, with hands on expertise in Retrieval Augmented Generation (RAG) and AI Agent architectures. Deep, hands on experience with LLM APIs and/or fine tuning and serving open source models. Strong understanding of prompt engineering and context engineering to maximize model relevance and accuracy. Excellent problem solving skills and the ability to work on complex, ambiguous projects, delivering results in a fast paced environment. Experience with observability, performance optimization, and production incident response. Bachelor's degree in Computer Science, AI, Machine Learning, or a related technical field (or equivalent practical experience). Preferred Qualifications Direct experience building a Coding Agent or similar developer facing AI tool (IDE plugins, CLI, etc.). Experience in the game development industry or with game engines (Unreal, Unity). Equal Employment Opportunity: At Tencent, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and community. We foster an environment where every employee feels supported and inspired to achieve individual and common goals. Tencent is a world leading internet and technology company that develops innovative products and services to improve the quality of life for people around the world.
We're seeking someone to join our team as a Senior Quantitative Software Engineer to work as part of the FIDCOM super department, with a focus on serving as the senior technology face off to our commodities leadership. There are various trading critical technologies which the candidate will own, ranging from market making engines to our ability to hedge on the iterbank market with algos and order management. In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Senior Quantitative Software Engineer position at Vice President level, which is part of the job family responsible for developing and maintaining software solutions that support business needs. Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. What you'll do in the role: Drive the development of innovative solutions, frameworks and best practices within the team's area of expertise Analyze complex datasets and synthesize insights into clear, actionable recommendations for technical and business stakeholders Design, develop and enhance client facing products while optimizing the performance, scalability and reliability of trading algorithms Identify and mitigate operational risks by designing robust controls, monitoring frameworks and governance processes Act as an L3 Subject Matter Expert, providing critical support during market stress events, production incidents and complex operational challenges What you'll bring to the role: At least 8 years' relevant experience would generally be expected to find the skills required for this role Experience in delivering complex technology initiatives and contributing to strategic technology roadmaps Ample communication skills, with the ability to articulate complex technical concepts to both technology and business leadership Deep expertise within the relevant domain, coupled with a strong understanding of industry trends and market dynamics Strong programming skills in Java or Scala, with an interest in developing deep expertise in Scala Knowledge of C++ Proficiency in python or other scripting languages for automation and tooling Exceptional analytical and problem solving skills Interest in functional programming principles Curiosity to leverage different technologies in solving financial modelling and quantitative challenges Certified Persons Regulatory Requirements: If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks. Flexible work statement Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more. Equal Opportunity and Inclusion Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents. Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences. For more information, please visit:
25/07/2026
Full time
We're seeking someone to join our team as a Senior Quantitative Software Engineer to work as part of the FIDCOM super department, with a focus on serving as the senior technology face off to our commodities leadership. There are various trading critical technologies which the candidate will own, ranging from market making engines to our ability to hedge on the iterbank market with algos and order management. In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Senior Quantitative Software Engineer position at Vice President level, which is part of the job family responsible for developing and maintaining software solutions that support business needs. Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. What you'll do in the role: Drive the development of innovative solutions, frameworks and best practices within the team's area of expertise Analyze complex datasets and synthesize insights into clear, actionable recommendations for technical and business stakeholders Design, develop and enhance client facing products while optimizing the performance, scalability and reliability of trading algorithms Identify and mitigate operational risks by designing robust controls, monitoring frameworks and governance processes Act as an L3 Subject Matter Expert, providing critical support during market stress events, production incidents and complex operational challenges What you'll bring to the role: At least 8 years' relevant experience would generally be expected to find the skills required for this role Experience in delivering complex technology initiatives and contributing to strategic technology roadmaps Ample communication skills, with the ability to articulate complex technical concepts to both technology and business leadership Deep expertise within the relevant domain, coupled with a strong understanding of industry trends and market dynamics Strong programming skills in Java or Scala, with an interest in developing deep expertise in Scala Knowledge of C++ Proficiency in python or other scripting languages for automation and tooling Exceptional analytical and problem solving skills Interest in functional programming principles Curiosity to leverage different technologies in solving financial modelling and quantitative challenges Certified Persons Regulatory Requirements: If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks. Flexible work statement Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more. Equal Opportunity and Inclusion Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents. Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences. For more information, please visit:
Novatus is a Series B scale-up RegTech SaaS provider and boutique advisory practice, enabling financial services firms to solve complex challenges and redefine what's possible through expert-led technology and consulting. Across both our technology and consulting services, Novatus delivers practical solutions to some of the most complex regulatory, data and operational challenges in financial services. Our SaaS platform, En>ACT ( short for Ensuring Accurate, Complete and Timely reporting ), is a market-leading solution for regulatory transaction reporting and reconciliation, providing real-time, independent oversight of transaction reporting across all global regulatory regimes. En>ACT is the only real-time assurance solution that tests 100% of transactions and 100% of fields, replacing sample-based reviews and static PDF reports delivered months after the event with live, actionable insights. This helps firms remediate quickly, reduce risk, and meet regulatory obligations with confidence. Already trusted by more than 45 firms worldwide, the platform is scalable, proven, and designed for both business and technical users. Alongside our SaaS offering, our unique model delivers consulting services to solve complex challenges, combining deep expertise, ownership and delivery to create lasting change. Our expertise spans Strategy & Operations, Data & AI, Risk & Resilience, Compliance, Transaction Reporting, and ESG. We embed ourselves within client teams to deliver both insight and execution, taking ownership of outcomes and driving measurable impact. Since our launch in 2019, we have scaled rapidly, creating space for our people to grow the business. Backed by North American private equity investment, and partnerships with the London Stock Exchange Group and Snowflake's global data platform, we are shaping the future of financial services through innovation in both consulting and technology. Now a team of 120 globally, our growth plans do not stop here: we are looking for top-tier talent to join us on our journey and enable our next phase of success. Senior DevOps Engineer Novatus HQ - 2 London Wall Place, EC2Y 5AU Job Overview: As a Senior DevOps Engineer , you will scope and deliver complex infrastructure projects end-to-end, building and maintaining scalable, secure, and performant systems. You'll contribute to our technology direction and drive initiatives that align with our business objectives, with an emphasis on automation, delivery pace, reliability, and cost efficiency. This role requires a strong technical background and a proven track record of building and scaling systems in complex environments. You'll be joining as we have begun actively modernizing our infrastructure from traditional deployments to automation and cloud-native systems with AWS, Terraform, GitHub Actions, Databricks, Snowflake and Grafana. Key Responsibilities: Design and implement AWS cloud infrastructure, writing clean and maintainable Infrastructure as Code for repeatable, auditable deployments across environments. Drive reliability, scalability, security, observability and cost efficiency of AWS infrastructure. Provide mentorship to other DevOps engineers, sharing expertise and raising engineering quality across the team. Develop and maintain robust and effective CI/CD pipelines. Troubleshoot and resolve complex infrastructure issues, ensuring minimal impact on business operations. Explore and evaluate new technologies, tools, and patterns that improve platform reliability and delivery pace. Partner with Data Engineering to support platform infrastructure (AWS, Databricks, Snowflake). About You: Requirements: Strong hands-on AWS infrastructure experience, including IAM, VPCs, compute, containers, load balancing, storage, security, resilience, and cost optimization. Hands-on experience deploying and operating applications on Kubernetes in production, including Helm/manifests, ingress, configuration/secrets, observability, and troubleshooting live workloads. Proficient with Infrastructure as Code, especially Terraform, with experience building maintainable, reusable modules and environment patterns. Solid production networking knowledge: TCP/IP, DNS, TLS, BGP, routing, subnets, NAT, firewalls/security groups, VPN/private connectivity, load balancers, and practical troubleshooting. Experience operating cloud infrastructure in regulated environments (e.g. GDPR, ISO 27001, SOC 2). Experience designing observability, monitoring, logging, and alerting solutions for distributed systems. Strong software engineering ability beyond basic scripting. Ideally someone who has contributed to larger software projects or built maintainable platform/backend tooling in a language such as Python, Go, Java, TypeScript, or similar. Comfortable using modern AI-assisted engineering workflows, including agentic coding tools and LLM-based automation. Familiarity with concepts such as MCP servers, tool-calling, RAG/vector search, embeddings, and AI-assisted platform operations. Working knowledge of databases and data platforms, including SQL databases such as PostgreSQL/MySQL and exposure to NoSQL or distributed data stores. Track record of independently scoping and delivering complex infrastructure projects end-to-end. Experience mentoring engineers and sharing technical expertise across a team. Excellent communication and stakeholder management skills. Nice-to-haves: Relevant certifications (e.g., AWS Certified Solutions Architect, AWS Certified Security, or AWS Certified DevOps Engineer). Databricks and/or Snowflake infrastructure experience. Kafka operations or other event streaming platforms. Experience on infrastructure modernization or migration programs. FinTech, RegTech, or financial services background. Why Join Us? Work Across Disciplines: You won't be confined to a single track- you will develop a broader skillset across our capabilities and offerings. Solve Problems that Matter: Work on complex challenges, where your thinking, analysis, and execution have real impact. Flat, Visible, Collaborative: We keep the structure flat, so you can collaborate directly with senior leaders and experienced specialists. Your work is visible, your perspectives are valued, and you will see the impact of your contributions every day. A Place for Builders: This is a great place for people who enjoy driving results and taking ownership. If you are driven to add value and help grow our business, you will enjoy a rewarding experience that recognises your contributions. Perks & Benefits: Private Medical Insurance (via AXA): includes mental health, dental, vision, and private GP access Life Insurance - 4 salary (via Unum) Unum's : includes GP access, medical second opinions, physiotherapy, lifestyle coaching, savings and discounts, mental health support, bereavement counselling, and cancer support services for you, your partner, and your child(ren) Salary sacrifice childcare and nursery scheme (via YellowNest) Employee Assistance Programme Enhanced parental leave (maternity & paternity) Professional qualification sponsorship Accelerated career progression based on readiness and performance, not tenure or time spent in role Holiday entitlement increases with tenure Flexible hours with core collaboration time Paid volunteering leave Gym & fitness discounts Bi-annual socials Office snacks and drinks Interest-based working groups to collaborate and innovate Novatus' Equal Opportunities Statement: Novatus is an Equal Opportunity Employer. All employment decisions are made based on business needs, role requirements, and individual qualifications, without regard to race, age, religion or belief, sex, sexual orientation, gender identity or expression, marital or civil partnership status, pregnancy or maternity, socioeconomic background, disability, or any other characteristic protected under the Equality Act 2010. We maintain a workplace culture that is inclusive, respectful, and supportive. Our recruitment and selection processes are designed to ensure fairness and consistency for all candidates. Reasonable adjustments are available throughout the application and interview process, and candidates are encouraged to contact Human Resources to discuss any specific requirements. This commitment is embedded in all aspects of our employment practices, including recruitment, compensation, professional development, promotion, and workplace conduct.
25/07/2026
Full time
Novatus is a Series B scale-up RegTech SaaS provider and boutique advisory practice, enabling financial services firms to solve complex challenges and redefine what's possible through expert-led technology and consulting. Across both our technology and consulting services, Novatus delivers practical solutions to some of the most complex regulatory, data and operational challenges in financial services. Our SaaS platform, En>ACT ( short for Ensuring Accurate, Complete and Timely reporting ), is a market-leading solution for regulatory transaction reporting and reconciliation, providing real-time, independent oversight of transaction reporting across all global regulatory regimes. En>ACT is the only real-time assurance solution that tests 100% of transactions and 100% of fields, replacing sample-based reviews and static PDF reports delivered months after the event with live, actionable insights. This helps firms remediate quickly, reduce risk, and meet regulatory obligations with confidence. Already trusted by more than 45 firms worldwide, the platform is scalable, proven, and designed for both business and technical users. Alongside our SaaS offering, our unique model delivers consulting services to solve complex challenges, combining deep expertise, ownership and delivery to create lasting change. Our expertise spans Strategy & Operations, Data & AI, Risk & Resilience, Compliance, Transaction Reporting, and ESG. We embed ourselves within client teams to deliver both insight and execution, taking ownership of outcomes and driving measurable impact. Since our launch in 2019, we have scaled rapidly, creating space for our people to grow the business. Backed by North American private equity investment, and partnerships with the London Stock Exchange Group and Snowflake's global data platform, we are shaping the future of financial services through innovation in both consulting and technology. Now a team of 120 globally, our growth plans do not stop here: we are looking for top-tier talent to join us on our journey and enable our next phase of success. Senior DevOps Engineer Novatus HQ - 2 London Wall Place, EC2Y 5AU Job Overview: As a Senior DevOps Engineer , you will scope and deliver complex infrastructure projects end-to-end, building and maintaining scalable, secure, and performant systems. You'll contribute to our technology direction and drive initiatives that align with our business objectives, with an emphasis on automation, delivery pace, reliability, and cost efficiency. This role requires a strong technical background and a proven track record of building and scaling systems in complex environments. You'll be joining as we have begun actively modernizing our infrastructure from traditional deployments to automation and cloud-native systems with AWS, Terraform, GitHub Actions, Databricks, Snowflake and Grafana. Key Responsibilities: Design and implement AWS cloud infrastructure, writing clean and maintainable Infrastructure as Code for repeatable, auditable deployments across environments. Drive reliability, scalability, security, observability and cost efficiency of AWS infrastructure. Provide mentorship to other DevOps engineers, sharing expertise and raising engineering quality across the team. Develop and maintain robust and effective CI/CD pipelines. Troubleshoot and resolve complex infrastructure issues, ensuring minimal impact on business operations. Explore and evaluate new technologies, tools, and patterns that improve platform reliability and delivery pace. Partner with Data Engineering to support platform infrastructure (AWS, Databricks, Snowflake). About You: Requirements: Strong hands-on AWS infrastructure experience, including IAM, VPCs, compute, containers, load balancing, storage, security, resilience, and cost optimization. Hands-on experience deploying and operating applications on Kubernetes in production, including Helm/manifests, ingress, configuration/secrets, observability, and troubleshooting live workloads. Proficient with Infrastructure as Code, especially Terraform, with experience building maintainable, reusable modules and environment patterns. Solid production networking knowledge: TCP/IP, DNS, TLS, BGP, routing, subnets, NAT, firewalls/security groups, VPN/private connectivity, load balancers, and practical troubleshooting. Experience operating cloud infrastructure in regulated environments (e.g. GDPR, ISO 27001, SOC 2). Experience designing observability, monitoring, logging, and alerting solutions for distributed systems. Strong software engineering ability beyond basic scripting. Ideally someone who has contributed to larger software projects or built maintainable platform/backend tooling in a language such as Python, Go, Java, TypeScript, or similar. Comfortable using modern AI-assisted engineering workflows, including agentic coding tools and LLM-based automation. Familiarity with concepts such as MCP servers, tool-calling, RAG/vector search, embeddings, and AI-assisted platform operations. Working knowledge of databases and data platforms, including SQL databases such as PostgreSQL/MySQL and exposure to NoSQL or distributed data stores. Track record of independently scoping and delivering complex infrastructure projects end-to-end. Experience mentoring engineers and sharing technical expertise across a team. Excellent communication and stakeholder management skills. Nice-to-haves: Relevant certifications (e.g., AWS Certified Solutions Architect, AWS Certified Security, or AWS Certified DevOps Engineer). Databricks and/or Snowflake infrastructure experience. Kafka operations or other event streaming platforms. Experience on infrastructure modernization or migration programs. FinTech, RegTech, or financial services background. Why Join Us? Work Across Disciplines: You won't be confined to a single track- you will develop a broader skillset across our capabilities and offerings. Solve Problems that Matter: Work on complex challenges, where your thinking, analysis, and execution have real impact. Flat, Visible, Collaborative: We keep the structure flat, so you can collaborate directly with senior leaders and experienced specialists. Your work is visible, your perspectives are valued, and you will see the impact of your contributions every day. A Place for Builders: This is a great place for people who enjoy driving results and taking ownership. If you are driven to add value and help grow our business, you will enjoy a rewarding experience that recognises your contributions. Perks & Benefits: Private Medical Insurance (via AXA): includes mental health, dental, vision, and private GP access Life Insurance - 4 salary (via Unum) Unum's : includes GP access, medical second opinions, physiotherapy, lifestyle coaching, savings and discounts, mental health support, bereavement counselling, and cancer support services for you, your partner, and your child(ren) Salary sacrifice childcare and nursery scheme (via YellowNest) Employee Assistance Programme Enhanced parental leave (maternity & paternity) Professional qualification sponsorship Accelerated career progression based on readiness and performance, not tenure or time spent in role Holiday entitlement increases with tenure Flexible hours with core collaboration time Paid volunteering leave Gym & fitness discounts Bi-annual socials Office snacks and drinks Interest-based working groups to collaborate and innovate Novatus' Equal Opportunities Statement: Novatus is an Equal Opportunity Employer. All employment decisions are made based on business needs, role requirements, and individual qualifications, without regard to race, age, religion or belief, sex, sexual orientation, gender identity or expression, marital or civil partnership status, pregnancy or maternity, socioeconomic background, disability, or any other characteristic protected under the Equality Act 2010. We maintain a workplace culture that is inclusive, respectful, and supportive. Our recruitment and selection processes are designed to ensure fairness and consistency for all candidates. Reasonable adjustments are available throughout the application and interview process, and candidates are encouraged to contact Human Resources to discuss any specific requirements. This commitment is embedded in all aspects of our employment practices, including recruitment, compensation, professional development, promotion, and workplace conduct.
About Tomoro Tomoro enables organisations to realise competitive advantage with the power of Generative AI. We work with large corporate clients to create meaningful AI strategies, build production-ready AI solutions and effectively integrate those solutions in their businesses. Our alliance with OpenAI and NVIDIA (among others) enables us to lead the industry in building valuable, scalable, enterprise-ready solutions for businesses. We're driven by applied R&D, prototyping and AI innovation. Our client teams are focused on tackling the most challenging aspects of applied AI in the enterprise sector directly with clients. About the role Applied AI solution engineers are expected to work in small teams of Tomoro and client engineers to design, build and deploy AI applications, such as agents built around Large Language Models. As your experience and expertise in the role grows, this may extend to leading these teams, owning solutions end-to-end and advising clients in this space. The typical applications we build use existing closed or open-source foundational models, potentially with some fine tuning. We generally do not need to train our own foundational models from scratch. Responsibilities The examples describe the types of responsibilities senior AI solution engineers at Tomoro will have. We do not expect every successful candidate to have experience in all of these areas. We encourage you to apply if the role excites you and you believe you can demonstrate a combination of the following capabilities. Visionary Leadership in Solution Development: As a Senior AI Solution Engineer, you'll be setting the vision for cutting-edge AI solutions and products. You'll own the delivery process from idea generation to deployment, ensuring that our AI-powered solutions are not only innovative but also aligned with our clients' strategic objectives. Advanced Analytical Problem-Solving: Your role involves a deep analytical approach to problem-solving. You will be responsible for breaking down complex challenges into manageable plans, making critical decisions that shape the direction of projects. Expertise in AI Application Development: With your strong background in designing, developing, testing, and deploying data and AI applications at an enterprise scale, you will provide technical leadership in building robust, efficient solutions that drive business transformation. Hands-on Development and Team Oversight: You will be comfortable with being both hands-on with coding and providing technical leadership and delivery oversight to teams of engineers. Your role balances the technical aspects of AI solution engineering with the leadership and guidance necessary to drive team success. Code Review and Mentorship: As a senior figure, you will manage and coach teams of engineers, fostering an environment of learning and growth, while providing critical feedback and ensuring the highest quality of code. Your guidance will be instrumental in developing the next generation of AI talent within Tomoro. Technical Stewardship across a Portfolio of Projects: You will work across multiple accounts or projects simultaneously, amplifying your impact through effective team leadership. Your ability to juggle various responsibilities will be key to the success of our projects. Contribution to Tomoro R&D product & asset development: Your role involves working within our R&D team contributing reusable assets to our core code repositories, thereby enhancing our collective knowledge base and technical capabilities. Senior Client Communication: Communicating with senior business and technical clients is a key part of your role. You will be responsible for explaining complex AI approaches, demonstrating solutions, and building strong, trusting relationships with our clients. Indicators you'll be a good fit Background in software development: You have 5+ years of experience in developing software solutions for enterprise. Strong experience leading the design and development of production-grade solutions in enterprise, involving: •Python applications and data processing •Building microservices •Large scale stateful distributed systems •Large language models Strategic thinker and team leader: You are on the journey from being a strong individual contributor to managing and leading teams. You can demonstrate successful experience in both hands-on engineering and owning outcomes from inception to completion. You are comfortable setting out a vision for a solution, planning out tasks, managing teams and taking decisions. You are passionate and positive and can inspire and motivate teams to come together deliver in challenging Standard setter: You set high standards of technical excellence for yourself and your teams, providing guidance, identifying areas for improvement, and constantly striving towards better coding practices. circumstances. Effective communicator: You are comfortable explaining concepts and approaches to senior business leaders and both technical and non-technical audiences. Coach, mentor and educator: You have a history of supporting the professional development of engineers, creating a supportive environment which encourages learning and growth. You are committed to sharing knowledge and driving collective improvement across Tomoro and our clients' organisations. "Multi-threaded" operator: At this stage of Tomoro's journey, we often need our senior team members to contribute to or oversee multiple projects at the same time. Your ability to balance your time and focus across a portfolio will be important for you to succeed. Innovator and thought leader: You proactively stay up to date with the latest developments in AI technology, connecting the dots and devising ways to apply new tools and techniques to real world problems faced by Tomoro and our clients. You contribute to the organisation's knowledge base and assets and are developing a reputation in the market for your insights and expertise. Package Salary range of £90,000 - £135,000 •Holiday entitlement of 25 days + bank holidays •Aviva Private medical insurance •Medicash wellness cash plan (helps to cover your everyday healthcare needs) •Life Policy •Employee Assistance Programme (access to 24/7 helpline for in-the-moment support from qualified BACP counsellors) •Company pension •Access to exclusive discount platform •Career Coach Location Hybrid working policy. May need to be flexible to travel to client offices as part of project work.
25/07/2026
Full time
About Tomoro Tomoro enables organisations to realise competitive advantage with the power of Generative AI. We work with large corporate clients to create meaningful AI strategies, build production-ready AI solutions and effectively integrate those solutions in their businesses. Our alliance with OpenAI and NVIDIA (among others) enables us to lead the industry in building valuable, scalable, enterprise-ready solutions for businesses. We're driven by applied R&D, prototyping and AI innovation. Our client teams are focused on tackling the most challenging aspects of applied AI in the enterprise sector directly with clients. About the role Applied AI solution engineers are expected to work in small teams of Tomoro and client engineers to design, build and deploy AI applications, such as agents built around Large Language Models. As your experience and expertise in the role grows, this may extend to leading these teams, owning solutions end-to-end and advising clients in this space. The typical applications we build use existing closed or open-source foundational models, potentially with some fine tuning. We generally do not need to train our own foundational models from scratch. Responsibilities The examples describe the types of responsibilities senior AI solution engineers at Tomoro will have. We do not expect every successful candidate to have experience in all of these areas. We encourage you to apply if the role excites you and you believe you can demonstrate a combination of the following capabilities. Visionary Leadership in Solution Development: As a Senior AI Solution Engineer, you'll be setting the vision for cutting-edge AI solutions and products. You'll own the delivery process from idea generation to deployment, ensuring that our AI-powered solutions are not only innovative but also aligned with our clients' strategic objectives. Advanced Analytical Problem-Solving: Your role involves a deep analytical approach to problem-solving. You will be responsible for breaking down complex challenges into manageable plans, making critical decisions that shape the direction of projects. Expertise in AI Application Development: With your strong background in designing, developing, testing, and deploying data and AI applications at an enterprise scale, you will provide technical leadership in building robust, efficient solutions that drive business transformation. Hands-on Development and Team Oversight: You will be comfortable with being both hands-on with coding and providing technical leadership and delivery oversight to teams of engineers. Your role balances the technical aspects of AI solution engineering with the leadership and guidance necessary to drive team success. Code Review and Mentorship: As a senior figure, you will manage and coach teams of engineers, fostering an environment of learning and growth, while providing critical feedback and ensuring the highest quality of code. Your guidance will be instrumental in developing the next generation of AI talent within Tomoro. Technical Stewardship across a Portfolio of Projects: You will work across multiple accounts or projects simultaneously, amplifying your impact through effective team leadership. Your ability to juggle various responsibilities will be key to the success of our projects. Contribution to Tomoro R&D product & asset development: Your role involves working within our R&D team contributing reusable assets to our core code repositories, thereby enhancing our collective knowledge base and technical capabilities. Senior Client Communication: Communicating with senior business and technical clients is a key part of your role. You will be responsible for explaining complex AI approaches, demonstrating solutions, and building strong, trusting relationships with our clients. Indicators you'll be a good fit Background in software development: You have 5+ years of experience in developing software solutions for enterprise. Strong experience leading the design and development of production-grade solutions in enterprise, involving: •Python applications and data processing •Building microservices •Large scale stateful distributed systems •Large language models Strategic thinker and team leader: You are on the journey from being a strong individual contributor to managing and leading teams. You can demonstrate successful experience in both hands-on engineering and owning outcomes from inception to completion. You are comfortable setting out a vision for a solution, planning out tasks, managing teams and taking decisions. You are passionate and positive and can inspire and motivate teams to come together deliver in challenging Standard setter: You set high standards of technical excellence for yourself and your teams, providing guidance, identifying areas for improvement, and constantly striving towards better coding practices. circumstances. Effective communicator: You are comfortable explaining concepts and approaches to senior business leaders and both technical and non-technical audiences. Coach, mentor and educator: You have a history of supporting the professional development of engineers, creating a supportive environment which encourages learning and growth. You are committed to sharing knowledge and driving collective improvement across Tomoro and our clients' organisations. "Multi-threaded" operator: At this stage of Tomoro's journey, we often need our senior team members to contribute to or oversee multiple projects at the same time. Your ability to balance your time and focus across a portfolio will be important for you to succeed. Innovator and thought leader: You proactively stay up to date with the latest developments in AI technology, connecting the dots and devising ways to apply new tools and techniques to real world problems faced by Tomoro and our clients. You contribute to the organisation's knowledge base and assets and are developing a reputation in the market for your insights and expertise. Package Salary range of £90,000 - £135,000 •Holiday entitlement of 25 days + bank holidays •Aviva Private medical insurance •Medicash wellness cash plan (helps to cover your everyday healthcare needs) •Life Policy •Employee Assistance Programme (access to 24/7 helpline for in-the-moment support from qualified BACP counsellors) •Company pension •Access to exclusive discount platform •Career Coach Location Hybrid working policy. May need to be flexible to travel to client offices as part of project work.
iO Associates is looking for a Contract Senior Data Engineer to help modernize and build data systems. The ideal candidate will have strong experience in data engineering, including hands-on work with Databricks and a focus on software engineering principles. This 6-month initial contract emphasizes building robust data foundations and AI-ready feature pipelines, requiring skills in SQL, Python, and Spark.
25/07/2026
Full time
iO Associates is looking for a Contract Senior Data Engineer to help modernize and build data systems. The ideal candidate will have strong experience in data engineering, including hands-on work with Databricks and a focus on software engineering principles. This 6-month initial contract emphasizes building robust data foundations and AI-ready feature pipelines, requiring skills in SQL, Python, and Spark.
About the Company Suade is a market leading regtech SaaS company with cutting edge technology that automates regulatory reporting, compliance and financial risk solutions for financial institutions. Role Overview We are looking for a Mid level Backend Engineer to help design, build, and scale our regulatory reporting platform. You'll own features end to end, collaborating directly with product to shape requirements and with the engineers around you to deliver them. You'd be joining a tight knit, enthusiastic team building software where precision genuinely matters. If you enjoy solving complex data problems at scale and want your work to have real world impact, we'd love to hear from you. Location & Work Policy This role is based in London. It is a fully on site role; you will be expected to be in our London office 4 or 5 days per week. Some travel may be required. Suade has a flexible working policy but you will need to be available to come into the London office when required. Salary Salary: £50,000 to £60,000 based on experience. Please note: We are unable to offer visa sponsorship for this role. Candidates who need visa sponsorship now, or will need visa sponsorship in future, will not be considered. Benefits 25 days' holiday + public holidays Flexible holiday: choose when you take your holidays by swapping bank holidays if you would like Additional tenure based holiday: an extra day of annual leave for every year of service after 2 years Flexible working hours £500 'work from home' set up budget when you join £500 personal training & development budget per year Enhanced maternity and paternity leave (subject to conditions) Company pension (Nest) Perkbox benefits plan Responsibilities Design, build, and ship features independently, from technical design through deployment Maintain and lead the improvement of existing features within the application Write efficient, well tested code Review code and provide constructive feedback to peers and junior engineers Mentor junior engineers on Python best practices and software design Collaborate with QA, product, and senior engineers to ship reliable, accurate features Must have Qualifications 3 5 years of professional experience building production software in Python Experience with FastAPI (or a similar web framework) Strong SQL skills and hands on production experience with SQLalchemy/PostgreSQL Professional experience with Docker Solid understanding of RESTful API design Solid grasp of Git and standard version control workflows in a team environment Solid understanding of data structures, algorithms, and system design principles Nice to have Qualifications Hands on experience with ClickHouse or another columnar/OLAP database Experience with Go or Rust, or strong aptitude to pick it up quickly Professional experience processing large volumes of data (complex data pipelines) Skills and Qualifications Track record of shipping and owning features in production Clear communicator - able to explain technical decisions to peers and work directly with product High attention to detail; accuracy is critical when outputs feed into regulatory filings Equal Opportunity Employer Suade is an equal opportunity employer. All qualified applicants will receive consideration for employment without bias.
25/07/2026
Full time
About the Company Suade is a market leading regtech SaaS company with cutting edge technology that automates regulatory reporting, compliance and financial risk solutions for financial institutions. Role Overview We are looking for a Mid level Backend Engineer to help design, build, and scale our regulatory reporting platform. You'll own features end to end, collaborating directly with product to shape requirements and with the engineers around you to deliver them. You'd be joining a tight knit, enthusiastic team building software where precision genuinely matters. If you enjoy solving complex data problems at scale and want your work to have real world impact, we'd love to hear from you. Location & Work Policy This role is based in London. It is a fully on site role; you will be expected to be in our London office 4 or 5 days per week. Some travel may be required. Suade has a flexible working policy but you will need to be available to come into the London office when required. Salary Salary: £50,000 to £60,000 based on experience. Please note: We are unable to offer visa sponsorship for this role. Candidates who need visa sponsorship now, or will need visa sponsorship in future, will not be considered. Benefits 25 days' holiday + public holidays Flexible holiday: choose when you take your holidays by swapping bank holidays if you would like Additional tenure based holiday: an extra day of annual leave for every year of service after 2 years Flexible working hours £500 'work from home' set up budget when you join £500 personal training & development budget per year Enhanced maternity and paternity leave (subject to conditions) Company pension (Nest) Perkbox benefits plan Responsibilities Design, build, and ship features independently, from technical design through deployment Maintain and lead the improvement of existing features within the application Write efficient, well tested code Review code and provide constructive feedback to peers and junior engineers Mentor junior engineers on Python best practices and software design Collaborate with QA, product, and senior engineers to ship reliable, accurate features Must have Qualifications 3 5 years of professional experience building production software in Python Experience with FastAPI (or a similar web framework) Strong SQL skills and hands on production experience with SQLalchemy/PostgreSQL Professional experience with Docker Solid understanding of RESTful API design Solid grasp of Git and standard version control workflows in a team environment Solid understanding of data structures, algorithms, and system design principles Nice to have Qualifications Hands on experience with ClickHouse or another columnar/OLAP database Experience with Go or Rust, or strong aptitude to pick it up quickly Professional experience processing large volumes of data (complex data pipelines) Skills and Qualifications Track record of shipping and owning features in production Clear communicator - able to explain technical decisions to peers and work directly with product High attention to detail; accuracy is critical when outputs feed into regulatory filings Equal Opportunity Employer Suade is an equal opportunity employer. All qualified applicants will receive consideration for employment without bias.
Suade is a market-leading regtech SaaS company with cutting edge technology that automates regulatory reporting, compliance and financial risk solutions for financial institutions. Our technology outperforms the competition on every metric, and we are supported by unprecedented need for new technology to solve complex and growing regulatory burdens. We serve Tier 1 banks across Europe, North America, and Asia. We are looking for a Mid level Backend Engineer to help design, build, and scale our regulatory reporting platform. You'll own features end to end - collaborating directly with product to shape requirements, and with the engineers around you to deliver them. You'd be joining a tight knit, enthusiastic team building software where precision genuinely matters. If you enjoy solving complex data problems at scale and want your work to have real world impact, we'd love to hear from you. Salary: £50,000 to £60,000 based on experience We are unable to offer visa sponsorship for this role. Candidates who need visa sponsorship now, or will need visa sponsorship in future, will not be considered. This role is based in London. Suade has a flexible working policy but you will need to be available to come into the London office when required. Some travel may be required. This is a fully on site role, based in London. You will be expected to be in our London office 4 or 5 days per week. Some travel may be required. Suade is an equal opportunity employer. All qualified applicants will receive consideration for employment without bias. Responsibilities Design, build, and ship features independently, from technical design through deployment Maintain and lead the improvement of existing features within the application Write efficient, well tested code Review code and provide constructive feedback to peers and junior engineers Mentor junior engineers on Python best practices and software design Collaborate with QA, product, and senior engineers to ship reliable, accurate features Must have 3-5 years of professional experience building production software in Python Experience with FastAPI (or a similar web framework) Strong SQL skills and hands on production experience with SQLalchemy/PostgreSQL Professional experience with DockerSolid understanding of RESTful API design Solid grasp of Git and standard version control workflows in a team environment Solid understanding of data structures, algorithms, and system design principles Nice to have Hands on experience with ClickHouse or another columnar/OLAP database Experience with Go or Rust, or strong aptitude to pick it up quickly Professional experience processing large volumes of data (complex data pipelines). Skills and qualifications Track record of shipping and owning features in production Clear communicator - able to explain technical decisions to peers and work directly with product High attention to detail; accuracy is critical when outputs feed into regulatory filings Benefits 25 days' holiday + public holidays Flexible holiday: choose when you take your holidays by swapping bank holidays if you would like Additional tenure based holiday: an extra day of annual leave for every year of service after 2 years Flexible working hours £500 'work from home' set up budget when you join £500 personal training & development budget per year Enhanced maternity and paternity leave (subject to conditions) Company pension (Nest) Perkbox benefits plan
25/07/2026
Full time
Suade is a market-leading regtech SaaS company with cutting edge technology that automates regulatory reporting, compliance and financial risk solutions for financial institutions. Our technology outperforms the competition on every metric, and we are supported by unprecedented need for new technology to solve complex and growing regulatory burdens. We serve Tier 1 banks across Europe, North America, and Asia. We are looking for a Mid level Backend Engineer to help design, build, and scale our regulatory reporting platform. You'll own features end to end - collaborating directly with product to shape requirements, and with the engineers around you to deliver them. You'd be joining a tight knit, enthusiastic team building software where precision genuinely matters. If you enjoy solving complex data problems at scale and want your work to have real world impact, we'd love to hear from you. Salary: £50,000 to £60,000 based on experience We are unable to offer visa sponsorship for this role. Candidates who need visa sponsorship now, or will need visa sponsorship in future, will not be considered. This role is based in London. Suade has a flexible working policy but you will need to be available to come into the London office when required. Some travel may be required. This is a fully on site role, based in London. You will be expected to be in our London office 4 or 5 days per week. Some travel may be required. Suade is an equal opportunity employer. All qualified applicants will receive consideration for employment without bias. Responsibilities Design, build, and ship features independently, from technical design through deployment Maintain and lead the improvement of existing features within the application Write efficient, well tested code Review code and provide constructive feedback to peers and junior engineers Mentor junior engineers on Python best practices and software design Collaborate with QA, product, and senior engineers to ship reliable, accurate features Must have 3-5 years of professional experience building production software in Python Experience with FastAPI (or a similar web framework) Strong SQL skills and hands on production experience with SQLalchemy/PostgreSQL Professional experience with DockerSolid understanding of RESTful API design Solid grasp of Git and standard version control workflows in a team environment Solid understanding of data structures, algorithms, and system design principles Nice to have Hands on experience with ClickHouse or another columnar/OLAP database Experience with Go or Rust, or strong aptitude to pick it up quickly Professional experience processing large volumes of data (complex data pipelines). Skills and qualifications Track record of shipping and owning features in production Clear communicator - able to explain technical decisions to peers and work directly with product High attention to detail; accuracy is critical when outputs feed into regulatory filings Benefits 25 days' holiday + public holidays Flexible holiday: choose when you take your holidays by swapping bank holidays if you would like Additional tenure based holiday: an extra day of annual leave for every year of service after 2 years Flexible working hours £500 'work from home' set up budget when you join £500 personal training & development budget per year Enhanced maternity and paternity leave (subject to conditions) Company pension (Nest) Perkbox benefits plan
Filtronic is a leader in advanced RF and microwave technology, designing and manufacturing high-performance solutions for the Space, Aerospace, Defence and Telecommunications sectors. As we continue to grow, we're looking for a Senior or Higher Senior Embedded Software Engineer to join our engineering team at our headquarters in Sedgefield. This is an exciting opportunity to work on cutting edge embedded software that powers some of the world's most advanced RF and communications systems. You'll be part of a multidisciplinary engineering team developing innovative products from concept through to production, working alongside experts in RF, FPGA, hardware and systems engineering. What You'll Be Doing As an Embedded Software Engineer, you'll design, develop and debug embedded software for real world RF applications, working on both bare metal and RTOS based systems. Your responsibilities will include: Developing embedded software in C/C++ for ARM-based microcontrollers. Designing software for bare metal and real time operating systems, including FreeRTOS and Zephyr. Bringing up new hardware and debugging prototype boards using oscilloscopes, logic analysers and software debugging tools. Developing robust communications between embedded devices using interfaces such as Ethernet, CAN, SPI, I C, UART and RS422. Designing networking functionality including TCP/IP, REST APIs, SNMP and OpenAPI interfaces. Working closely with hardware, FPGA and systems engineers to integrate software with complex electronic systems. Investigating and resolving software, networking and embedded system issues. Contributing throughout the full product development lifecycle from concept through to manufacture. We're interested in talented engineers who enjoy solving challenging technical problems and developing reliable embedded software. You'll ideally have Strong commercial experience developing embedded software in C/C++. Experience working with bare metal systems and/or real time operating systems. Experience developing software for ARM Cortex based microcontrollers. Practical experience bringing up prototype hardware. Knowledge of embedded communication protocols including Ethernet, CAN, SPI, I C and UART. Excellent debugging skills using both hardware and software tools. A degree in Computer Science, Electronic Engineering or a related discipline, or equivalent commercial experience. Experience in any of the following would be advantageous Zephyr RTOS or FreeRTOS STM32 microcontrollers Embedded networking and TCP/IP Secure bootloaders and firmware update mechanisms Python MISRA C/C++ RF or microwave systems Defence, aerospace or space applications We offer Exciting projects in Space, Defence, Aerospace and Telecommunications. The opportunity to work with leading engineers across multiple disciplines. Modern development tools and well established engineering processes. Genuine opportunities for career development and progression. A collaborative, supportive engineering culture. Competitive salary and benefits package. Above all, we value enthusiasm, curiosity and a willingness to learn. If you don't meet every requirement but believe you have the skills and attitude to succeed, we'd still love to hear from you. Please call our Talent Partner, Bruce Mair on if you would like to chat about this role or clarify the salary prior to investing your time applying. Benefits include 37.5 hour working week 25 days' holiday plus public holidays, with the option to buy up to 5 additional days Contributory pension scheme with up to 8% company contribution Life Assurance (4 x basic salary) Income Protection Insurance Save As You Earn (SAYE) share scheme Electric Vehicle (EV) scheme Cycle to Work scheme Volunteering day Learning and development opportunities Hybrid working available Filtronic plc is an equal opportunities employer and is committed to building a diverse and inclusive workplace where everyone can thrive. We welcome applications from all qualified candidates regardless of age, gender, ethnicity, religion, sexual orientation, or disability status. If you require any adjustments or accommodations to support you during the interview process, please let us know and we will be happy to assist.
25/07/2026
Full time
Filtronic is a leader in advanced RF and microwave technology, designing and manufacturing high-performance solutions for the Space, Aerospace, Defence and Telecommunications sectors. As we continue to grow, we're looking for a Senior or Higher Senior Embedded Software Engineer to join our engineering team at our headquarters in Sedgefield. This is an exciting opportunity to work on cutting edge embedded software that powers some of the world's most advanced RF and communications systems. You'll be part of a multidisciplinary engineering team developing innovative products from concept through to production, working alongside experts in RF, FPGA, hardware and systems engineering. What You'll Be Doing As an Embedded Software Engineer, you'll design, develop and debug embedded software for real world RF applications, working on both bare metal and RTOS based systems. Your responsibilities will include: Developing embedded software in C/C++ for ARM-based microcontrollers. Designing software for bare metal and real time operating systems, including FreeRTOS and Zephyr. Bringing up new hardware and debugging prototype boards using oscilloscopes, logic analysers and software debugging tools. Developing robust communications between embedded devices using interfaces such as Ethernet, CAN, SPI, I C, UART and RS422. Designing networking functionality including TCP/IP, REST APIs, SNMP and OpenAPI interfaces. Working closely with hardware, FPGA and systems engineers to integrate software with complex electronic systems. Investigating and resolving software, networking and embedded system issues. Contributing throughout the full product development lifecycle from concept through to manufacture. We're interested in talented engineers who enjoy solving challenging technical problems and developing reliable embedded software. You'll ideally have Strong commercial experience developing embedded software in C/C++. Experience working with bare metal systems and/or real time operating systems. Experience developing software for ARM Cortex based microcontrollers. Practical experience bringing up prototype hardware. Knowledge of embedded communication protocols including Ethernet, CAN, SPI, I C and UART. Excellent debugging skills using both hardware and software tools. A degree in Computer Science, Electronic Engineering or a related discipline, or equivalent commercial experience. Experience in any of the following would be advantageous Zephyr RTOS or FreeRTOS STM32 microcontrollers Embedded networking and TCP/IP Secure bootloaders and firmware update mechanisms Python MISRA C/C++ RF or microwave systems Defence, aerospace or space applications We offer Exciting projects in Space, Defence, Aerospace and Telecommunications. The opportunity to work with leading engineers across multiple disciplines. Modern development tools and well established engineering processes. Genuine opportunities for career development and progression. A collaborative, supportive engineering culture. Competitive salary and benefits package. Above all, we value enthusiasm, curiosity and a willingness to learn. If you don't meet every requirement but believe you have the skills and attitude to succeed, we'd still love to hear from you. Please call our Talent Partner, Bruce Mair on if you would like to chat about this role or clarify the salary prior to investing your time applying. Benefits include 37.5 hour working week 25 days' holiday plus public holidays, with the option to buy up to 5 additional days Contributory pension scheme with up to 8% company contribution Life Assurance (4 x basic salary) Income Protection Insurance Save As You Earn (SAYE) share scheme Electric Vehicle (EV) scheme Cycle to Work scheme Volunteering day Learning and development opportunities Hybrid working available Filtronic plc is an equal opportunities employer and is committed to building a diverse and inclusive workplace where everyone can thrive. We welcome applications from all qualified candidates regardless of age, gender, ethnicity, religion, sexual orientation, or disability status. If you require any adjustments or accommodations to support you during the interview process, please let us know and we will be happy to assist.
Senior C++ Software Engineer (Image Processing) Location: Milton Keynes, UK Company: Envisics Key Responsibilities Develop new and enhance existing tools for calibration and measurements. Create image processing and machine vision algorithms for system calibration. Develop End of Line (EOL) tools in an automotive production environment. Qualifications To be considered for this role, we are looking for: Bachelor's or Master's degree in a science or engineering discipline. Proficiency in software development with Qt/QML/C++. Good knowledge of multithreading and Object-Oriented Programming (OOP). Experience with image processing (OpenCV) is essential. Knowledge of computer vision (e.g., feature tracking). Strong debugging, problem-solving, and analytical skills. Ability to learn quickly and think outside the box. Attention to detail and the ability to work independently or as part of a team. Desirable Experience with Python and MATLAB. Experience working with camera systems (live image acquisition and calibration). What We Offer Competitive salary and performance bonuses. Flexible working hours and remote work options. Health and wellness programs. Professional development and training budget. Team-building events and social activities. Make an Impact As a Senior C++ Software Engineer, you will play a crucial role in developing tools that enhance the performance and accuracy of our AR-HUD products, directly impacting the future of automotive technology.
25/07/2026
Full time
Senior C++ Software Engineer (Image Processing) Location: Milton Keynes, UK Company: Envisics Key Responsibilities Develop new and enhance existing tools for calibration and measurements. Create image processing and machine vision algorithms for system calibration. Develop End of Line (EOL) tools in an automotive production environment. Qualifications To be considered for this role, we are looking for: Bachelor's or Master's degree in a science or engineering discipline. Proficiency in software development with Qt/QML/C++. Good knowledge of multithreading and Object-Oriented Programming (OOP). Experience with image processing (OpenCV) is essential. Knowledge of computer vision (e.g., feature tracking). Strong debugging, problem-solving, and analytical skills. Ability to learn quickly and think outside the box. Attention to detail and the ability to work independently or as part of a team. Desirable Experience with Python and MATLAB. Experience working with camera systems (live image acquisition and calibration). What We Offer Competitive salary and performance bonuses. Flexible working hours and remote work options. Health and wellness programs. Professional development and training budget. Team-building events and social activities. Make an Impact As a Senior C++ Software Engineer, you will play a crucial role in developing tools that enhance the performance and accuracy of our AR-HUD products, directly impacting the future of automotive technology.
Company Overview Novomorphic is a UK semiconductor and systems design company focused on system-first secure Edge AI. We design and deliver advanced electronics where power, thermal performance, RF behaviour, latency, reliability, and security constraints matter. Our work spans edge AI systems, digital IC design, analogue and mixed-signal systems, FPGA platforms, embedded systems, and compound semiconductor technologies. We work through focused delivery, paid pilots, demonstrators, partner-enabled projects, and CR&D programmes. Our aim is to turn complex technical work into practical engineering outcomes, strong partner confidence, and clear commercial proof-points. We are building Novomorphic from the ground up. We value technical excellence, ownership, curiosity, collaboration, and practical delivery. The Opportunity This is a senior engineering role for an experienced FPGA and embedded systems engineer who enjoys making complex hardware-based systems work in the real world. You will work across FPGA integration, embedded interfaces, board bring-up, testbenches, hardware/software integration, lab debug and prototype stabilisation. The role is suited to candidates who sit comfortably between FPGA design, embedded systems, electronics and practical system delivery. Role Overview Novomorphic is seeking a Senior FPGA & Embedded Systems Engineer to help deliver FPGA-enabled intelligent hardware platforms and embedded electronic systems. This role is different from a pure RTL design role. You will focus on the full system: FPGA logic, embedded processors, firmware interfaces, sensors, memory maps, hardware bring-up, data paths, lab validation and stable prototype delivery. The role combines FPGA engineering, embedded system integration, hardware debug, test automation, technical documentation and close collaboration with digital design, embedded software, AI and hardware teams. What You Will Do FPGA and Embedded System Integration Integrate FPGA logic with embedded processors, firmware, sensors, memories, host interfaces and external hardware. Develop and refine register maps, memory maps, control interfaces and hardware/software APIs. Implement or support RTL blocks, integration wrappers, interface logic and data movement paths. Support timing, latency, determinism and resource trade-offs in FPGA-enabled systems. Work with embedded firmware engineers to bring up drivers, HALs, diagnostics and control interfaces. Support system-level integration across FPGA, embedded software, AI models, analogue hardware and power electronics. Produce clear interface documentation, bring-up notes, test procedures and review material. Bring-Up, Debug and Validation Bring up FPGA development boards, prototype PCBs and hardware demonstrators in the lab. Create practical testbenches, simulations, regression checks and hardware validation scripts. Debug hardware and firmware issues using oscilloscopes, logic analysers, protocol analysers and on-chip debug tools. Support HIL-style testing, customer demos, grant-funded milestones and internal technical validation. Develop repeatable bring-up and validation workflows that can be reused across projects. Help move prototypes from fragile lab setups to stable engineering demonstrators. Collaboration and Technical Delivery Work closely with FPGA designers, embedded software engineers, hardware engineers, AI engineers and system architects. Participate in technical planning, design reviews, debug reviews and delivery reviews. Identify technical risks early, especially around interfaces, timing, bring-up, stability and test coverage. Mentor junior engineers in practical FPGA, embedded and lab-based engineering methods. Help define good engineering habits for a growing start-up team. What You Will Develop Through the role, you will build and strengthen practical capability in: FPGA-based embedded system architecture Hardware/software interface design Register maps, memory maps and control APIs FPGA bring-up and board-level debug Practical testbench, simulation and regression workflows Embedded processor and SoC FPGA integration Lab instrumentation, diagnostics and prototype validation Real-time and deterministic embedded system behaviour System-level integration across AI, firmware, FPGA and hardware Reusable bring-up, validation, and integration processes What We Are Looking For We are looking for a practical senior engineer who can make complex systems work, not just design isolated blocks. You should be comfortable in the lab, comfortable close to hardware and able to work across FPGA, firmware and system boundaries. Essential Requirements Strong experience with FPGA-based embedded systems. Good VHDL, Verilog or SystemVerilog skills. Experience with FPGA toolchains such as Xilinx/AMD Vivado or similar. Experience with hardware bring-up and lab debugging. Good understanding of embedded processors, firmware interfaces and board-level systems. Experience defining or debugging register maps, memory maps, data paths or control interfaces. Ability to work across multidisciplinary engineering domains. Clear communication and willingness to document technical work properly. Ability to mentor junior engineers and take ownership of technical delivery. Desirable Experience Experience through industry work, research, prototypes, coursework, lab work or practical development in areas such as: SoC FPGA platforms such as Zynq, MPSoC, MicroBlaze, ARM or RISC-V systems Embedded C/C++ for firmware-level debug and integration Python scripting for test automation and lab workflows Industrial, motor-control, communications or edge AI systems Ethernet, SPI, I2C, UART, CAN, PCIe or other protocol experience HIL testing or real-time test environments Debug of sensors, ADCs, DACs, power rails or mixed hardware systems EMC-aware debug and prototype stabilisation Experience building customer demos or proof-of-concept systems Awareness of productisation, documentation and release quality Familiarity with any of the following tools or environments is useful: Xilinx/AMD Vivado ModelSim, Questa or similar simulators Embedded C/C++ development environments Python-based test and automation workflows Oscilloscopes, logic analysers, protocol analysers and bench equipment Git and version control workflows Linux development environments JTAG, UART and hardware debug workflows Previous start-up experience is not required, but strong hands-on engineering experience and practical delivery judgement are important. We Value Engineers Who Take ownership and follow through. Enjoy solving difficult engineering problems. Are curious, practical, and willing to learn quickly. Can work independently without disappearing into a silo. Collaborate well with engineers from different disciplines. Communicate clearly, especially when raising risks or blockers. Are comfortable in a start-up environment where priorities can move quickly. Want to build real engineering capability, not just write documents or papers. What Success Looks Like Early success in this role means: Strong engagement with onboarding, lab work and project delivery. High-quality delivery on assigned FPGA integration, bring-up, test or documentation tasks. Active participation in debug reviews, design reviews and multidisciplinary engineering discussions. Growing ownership of FPGA-enabled embedded systems and prototype stability. Improved bring-up speed, test repeatability and system-level delivery confidence. Meaningful contribution to customer projects, internal platforms and funded innovation programmes. Why Join Novomorphic? At Novomorphic, you will: Work on next-generation semiconductor, edge AI, FPGA and intelligent hardware technologies. Use industry-standard engineering tools and workflows across semiconductor, FPGA, embedded and system design. Learn directly from experienced semiconductor, FPGA, embedded, AI and systems engineers. Contribute to real customer projects, internal platforms, reusable engineering IP and funded innovation programmes. Gain exposure to advanced low-power, intelligent, digital, mixed-signal and compound semiconductor technologies. Help strengthen the UK semiconductor and intelligent hardware ecosystem. Build a long-term career in advanced semiconductor and electronic systems engineering. Benefits Novomorphic's benefits package includes: 28 days' annual leave plus bank holidays Salary sacrifice pension scheme Annual discretionary bonus scheme Life assurance Private medical insurance Additional benefits tailored to employee needs Location and Working Model This role is based in Cardiff, Wales. Working arrangements may vary depending on project and business requirements. Candidates must have the right to work in the UK
25/07/2026
Full time
Company Overview Novomorphic is a UK semiconductor and systems design company focused on system-first secure Edge AI. We design and deliver advanced electronics where power, thermal performance, RF behaviour, latency, reliability, and security constraints matter. Our work spans edge AI systems, digital IC design, analogue and mixed-signal systems, FPGA platforms, embedded systems, and compound semiconductor technologies. We work through focused delivery, paid pilots, demonstrators, partner-enabled projects, and CR&D programmes. Our aim is to turn complex technical work into practical engineering outcomes, strong partner confidence, and clear commercial proof-points. We are building Novomorphic from the ground up. We value technical excellence, ownership, curiosity, collaboration, and practical delivery. The Opportunity This is a senior engineering role for an experienced FPGA and embedded systems engineer who enjoys making complex hardware-based systems work in the real world. You will work across FPGA integration, embedded interfaces, board bring-up, testbenches, hardware/software integration, lab debug and prototype stabilisation. The role is suited to candidates who sit comfortably between FPGA design, embedded systems, electronics and practical system delivery. Role Overview Novomorphic is seeking a Senior FPGA & Embedded Systems Engineer to help deliver FPGA-enabled intelligent hardware platforms and embedded electronic systems. This role is different from a pure RTL design role. You will focus on the full system: FPGA logic, embedded processors, firmware interfaces, sensors, memory maps, hardware bring-up, data paths, lab validation and stable prototype delivery. The role combines FPGA engineering, embedded system integration, hardware debug, test automation, technical documentation and close collaboration with digital design, embedded software, AI and hardware teams. What You Will Do FPGA and Embedded System Integration Integrate FPGA logic with embedded processors, firmware, sensors, memories, host interfaces and external hardware. Develop and refine register maps, memory maps, control interfaces and hardware/software APIs. Implement or support RTL blocks, integration wrappers, interface logic and data movement paths. Support timing, latency, determinism and resource trade-offs in FPGA-enabled systems. Work with embedded firmware engineers to bring up drivers, HALs, diagnostics and control interfaces. Support system-level integration across FPGA, embedded software, AI models, analogue hardware and power electronics. Produce clear interface documentation, bring-up notes, test procedures and review material. Bring-Up, Debug and Validation Bring up FPGA development boards, prototype PCBs and hardware demonstrators in the lab. Create practical testbenches, simulations, regression checks and hardware validation scripts. Debug hardware and firmware issues using oscilloscopes, logic analysers, protocol analysers and on-chip debug tools. Support HIL-style testing, customer demos, grant-funded milestones and internal technical validation. Develop repeatable bring-up and validation workflows that can be reused across projects. Help move prototypes from fragile lab setups to stable engineering demonstrators. Collaboration and Technical Delivery Work closely with FPGA designers, embedded software engineers, hardware engineers, AI engineers and system architects. Participate in technical planning, design reviews, debug reviews and delivery reviews. Identify technical risks early, especially around interfaces, timing, bring-up, stability and test coverage. Mentor junior engineers in practical FPGA, embedded and lab-based engineering methods. Help define good engineering habits for a growing start-up team. What You Will Develop Through the role, you will build and strengthen practical capability in: FPGA-based embedded system architecture Hardware/software interface design Register maps, memory maps and control APIs FPGA bring-up and board-level debug Practical testbench, simulation and regression workflows Embedded processor and SoC FPGA integration Lab instrumentation, diagnostics and prototype validation Real-time and deterministic embedded system behaviour System-level integration across AI, firmware, FPGA and hardware Reusable bring-up, validation, and integration processes What We Are Looking For We are looking for a practical senior engineer who can make complex systems work, not just design isolated blocks. You should be comfortable in the lab, comfortable close to hardware and able to work across FPGA, firmware and system boundaries. Essential Requirements Strong experience with FPGA-based embedded systems. Good VHDL, Verilog or SystemVerilog skills. Experience with FPGA toolchains such as Xilinx/AMD Vivado or similar. Experience with hardware bring-up and lab debugging. Good understanding of embedded processors, firmware interfaces and board-level systems. Experience defining or debugging register maps, memory maps, data paths or control interfaces. Ability to work across multidisciplinary engineering domains. Clear communication and willingness to document technical work properly. Ability to mentor junior engineers and take ownership of technical delivery. Desirable Experience Experience through industry work, research, prototypes, coursework, lab work or practical development in areas such as: SoC FPGA platforms such as Zynq, MPSoC, MicroBlaze, ARM or RISC-V systems Embedded C/C++ for firmware-level debug and integration Python scripting for test automation and lab workflows Industrial, motor-control, communications or edge AI systems Ethernet, SPI, I2C, UART, CAN, PCIe or other protocol experience HIL testing or real-time test environments Debug of sensors, ADCs, DACs, power rails or mixed hardware systems EMC-aware debug and prototype stabilisation Experience building customer demos or proof-of-concept systems Awareness of productisation, documentation and release quality Familiarity with any of the following tools or environments is useful: Xilinx/AMD Vivado ModelSim, Questa or similar simulators Embedded C/C++ development environments Python-based test and automation workflows Oscilloscopes, logic analysers, protocol analysers and bench equipment Git and version control workflows Linux development environments JTAG, UART and hardware debug workflows Previous start-up experience is not required, but strong hands-on engineering experience and practical delivery judgement are important. We Value Engineers Who Take ownership and follow through. Enjoy solving difficult engineering problems. Are curious, practical, and willing to learn quickly. Can work independently without disappearing into a silo. Collaborate well with engineers from different disciplines. Communicate clearly, especially when raising risks or blockers. Are comfortable in a start-up environment where priorities can move quickly. Want to build real engineering capability, not just write documents or papers. What Success Looks Like Early success in this role means: Strong engagement with onboarding, lab work and project delivery. High-quality delivery on assigned FPGA integration, bring-up, test or documentation tasks. Active participation in debug reviews, design reviews and multidisciplinary engineering discussions. Growing ownership of FPGA-enabled embedded systems and prototype stability. Improved bring-up speed, test repeatability and system-level delivery confidence. Meaningful contribution to customer projects, internal platforms and funded innovation programmes. Why Join Novomorphic? At Novomorphic, you will: Work on next-generation semiconductor, edge AI, FPGA and intelligent hardware technologies. Use industry-standard engineering tools and workflows across semiconductor, FPGA, embedded and system design. Learn directly from experienced semiconductor, FPGA, embedded, AI and systems engineers. Contribute to real customer projects, internal platforms, reusable engineering IP and funded innovation programmes. Gain exposure to advanced low-power, intelligent, digital, mixed-signal and compound semiconductor technologies. Help strengthen the UK semiconductor and intelligent hardware ecosystem. Build a long-term career in advanced semiconductor and electronic systems engineering. Benefits Novomorphic's benefits package includes: 28 days' annual leave plus bank holidays Salary sacrifice pension scheme Annual discretionary bonus scheme Life assurance Private medical insurance Additional benefits tailored to employee needs Location and Working Model This role is based in Cardiff, Wales. Working arrangements may vary depending on project and business requirements. Candidates must have the right to work in the UK
Job Description: Salary Range: Systems Engineer £38,000 - £48,000 Senior Systems Engineer £44,500 - £56,000 Principal Systems Engineer £53,500 - £68,000q Lead Systems Engineer £59,500 - £75,000 Where this vacancy is being recruited across more than one grade, the successful candidate will be appointed to a specific assessed grade, and the applicable salary range will be that associated with the grade of appointment. Leonardo UK operates a grade-based salary framework with broad bands. The salary range shown reflects the approved grade band for this role, or a narrower hiring range published within that band, and is benchmarked against the external market. Exceptions above the standard range are managed through governance controls to protect internal equity. Your Impact At Leonardo, we solve real-world engineering challenges, designing and developing mission-critical solutions that power some of the world's most advanced defence and security systems. Radar systems for fighter jets like the Typhoon and SAAB Gripen require Systems Engineers to plan and deliver Radar Trials & Analysis activity in support of product development. There is a need for Systems Engineers to work on Radar Trials Analysis within the Mk0 Systems Engineering Team. A primary element of the role is to support planning of radar flight trials testing and analysis of trials data as well as supporting other Systems Engineering activities within the Captor-E Mk0 team. A key part of the role is working with a wide range of stakeholders, including hardware and software teams, test teams, international partner organisations as well as customer stakeholders. Successful applicants may have previous experience within a similar industry or other complex engineering environment and some level of experience supporting engineering tests / trials and processing large datasets. What you'll do Data Processing & Analysis Work with large datasets from radar trials. Use analytical techniques to evaluate radar performance against requirements and raise problem reports for detailed investigation. Apply signal & image processing techniques to extract actionable insights. Design, Integration, Testing & Validation Investigate system anomalies using real trials data, ensuring performance meets specifications. Contribute to System Verification and Validation (V&V) activities as part of the continuous development / enhancement of the Radar System. Collaboration & Leadership Work alongside multidisciplinary teams to support the development of innovative defence solutions Depending on experience, lead technical initiatives, mentor junior engineers, and influence engineering roadmaps. What you'll bring Required skillset: Experience with MATLAB, particularly for use in analysis of large data sets. A science-based Honours degree or equivalent industry experience. Excellent communication skills with an aptitude for cross-discipline collaboration. A continuous improvement mindset and a proactive approach to problem solving. Willingness to travel & support flight trials. What else would help Understanding of radar or complex sensor systems. Python experience beneficial but not essential. Full V-model lifecycle experience, with an emphasis on the middle-to-right-side (Implementation, Integration, Testing and V&V). This is not an exhaustive list, and we are keen to hear from you even if you do not feel you have depth of experience across all areas in the above. Security Clearance This role is subject to pre-employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: Why join us At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company-funded benefits package that supports your wellbeing, career development, and work-life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we're here to help you thrive. Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year. Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution. Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity). Rewarding Performance: All employees at management level and below are eligible for our bonus scheme. Never Stop Learning: Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Refer a friend: Receive a financial reward through our referral programme. Tailored Perks: Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more. Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role. For a full list of our company benefits please visit our website. Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team-they are key contributors to shaping innovation, advancing technology, and enhancing global safety. At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know. Primary Location: GB - Edinburgh Contract Type: Permanent Hybrid Working: Onsite
25/07/2026
Full time
Job Description: Salary Range: Systems Engineer £38,000 - £48,000 Senior Systems Engineer £44,500 - £56,000 Principal Systems Engineer £53,500 - £68,000q Lead Systems Engineer £59,500 - £75,000 Where this vacancy is being recruited across more than one grade, the successful candidate will be appointed to a specific assessed grade, and the applicable salary range will be that associated with the grade of appointment. Leonardo UK operates a grade-based salary framework with broad bands. The salary range shown reflects the approved grade band for this role, or a narrower hiring range published within that band, and is benchmarked against the external market. Exceptions above the standard range are managed through governance controls to protect internal equity. Your Impact At Leonardo, we solve real-world engineering challenges, designing and developing mission-critical solutions that power some of the world's most advanced defence and security systems. Radar systems for fighter jets like the Typhoon and SAAB Gripen require Systems Engineers to plan and deliver Radar Trials & Analysis activity in support of product development. There is a need for Systems Engineers to work on Radar Trials Analysis within the Mk0 Systems Engineering Team. A primary element of the role is to support planning of radar flight trials testing and analysis of trials data as well as supporting other Systems Engineering activities within the Captor-E Mk0 team. A key part of the role is working with a wide range of stakeholders, including hardware and software teams, test teams, international partner organisations as well as customer stakeholders. Successful applicants may have previous experience within a similar industry or other complex engineering environment and some level of experience supporting engineering tests / trials and processing large datasets. What you'll do Data Processing & Analysis Work with large datasets from radar trials. Use analytical techniques to evaluate radar performance against requirements and raise problem reports for detailed investigation. Apply signal & image processing techniques to extract actionable insights. Design, Integration, Testing & Validation Investigate system anomalies using real trials data, ensuring performance meets specifications. Contribute to System Verification and Validation (V&V) activities as part of the continuous development / enhancement of the Radar System. Collaboration & Leadership Work alongside multidisciplinary teams to support the development of innovative defence solutions Depending on experience, lead technical initiatives, mentor junior engineers, and influence engineering roadmaps. What you'll bring Required skillset: Experience with MATLAB, particularly for use in analysis of large data sets. A science-based Honours degree or equivalent industry experience. Excellent communication skills with an aptitude for cross-discipline collaboration. A continuous improvement mindset and a proactive approach to problem solving. Willingness to travel & support flight trials. What else would help Understanding of radar or complex sensor systems. Python experience beneficial but not essential. Full V-model lifecycle experience, with an emphasis on the middle-to-right-side (Implementation, Integration, Testing and V&V). This is not an exhaustive list, and we are keen to hear from you even if you do not feel you have depth of experience across all areas in the above. Security Clearance This role is subject to pre-employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: Why join us At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company-funded benefits package that supports your wellbeing, career development, and work-life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we're here to help you thrive. Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year. Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution. Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity). Rewarding Performance: All employees at management level and below are eligible for our bonus scheme. Never Stop Learning: Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Refer a friend: Receive a financial reward through our referral programme. Tailored Perks: Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more. Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role. For a full list of our company benefits please visit our website. Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team-they are key contributors to shaping innovation, advancing technology, and enhancing global safety. At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know. Primary Location: GB - Edinburgh Contract Type: Permanent Hybrid Working: Onsite
