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Join Us as an AVP AI Platform Engineer - Shape the Future of AI at Barclays. We're excited to launch a groundbreaking initiative at Barclays - building a next-generation platform that empowers front-office developers (Quants and Strats) to create high-performance, AI-driven applications. As an AVP AI Platform Engineer, you'll be involved in designing, building, and scaling robust platform components that enable advanced AI/ML workloads across both on-premises and cloud environments. This is a hands-on engineering role where your expertise will directly influence how we deliver secure, scalable, and innovative solutions. You'll collaborate with diverse teams, solve complex challenges, and help shape the technical direction of a platform that will transform how AI is leveraged in financial services. To be successful as an AVP AI Platform Engineer at this level, you should have experience with: Proven experience in Python engineering, with a focus on backend and infrastructure tooling. Deep knowledge of AWS services (IAM, KMS, CloudFormation, API Gateway, S3, Lambda, ECS, Glue, Step Functions, MSK, EKS, Bedrock). Experience scaling platforms for AI/ML workloads and integrating generative AI tooling. Understanding of secure software development, cloud cost optimization, and platform observability. Ability to communicate complex technical concepts clearly to technical and non-technical audiences. Demonstrated capability to guide engineering teams and influence technical strategy. Some other highly valued skills may include: Experience with MLOps platforms such as Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes). Strong understanding of AI infrastructure for scalable model serving, distributed training, and GPU orchestration. Expertise in Large Language Models (LLMs) and Small Language Models (SLMs), including fine-tuning and deployment for enterprise use cases. Hands-on experience with Hugging Face libraries and tools for model training, evaluation, and deployment. Knowledge of agentic frameworks (e.g., LangChain, AutoGen) and Model Context Protocol (MCP) for building autonomous AI workflows and interoperability. Awareness of emerging trends in GenAI platforms, open-source MLOps, and cloud-native AI solutions You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role can be based out of our Glasgow or Canary Wharf office. Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.

Join Us in Shaping the Future of AI at Barclays. We're launching an exciting new initiative at Barclays to design, build, and scale next-generation platform components that empower developers - including Quants and Strats - to create high-performance, AI-driven applications. As an AI/MLOps Platform Engineer, you'll play a pivotal role in this transformation, working hands-on to develop the infrastructure and tooling that supports the full lifecycle of machine learning and generative AI workloads. This is more than an engineering role-it's an opportunity to influence technical direction, collaborate across diverse teams, and help define how AI and GenAI are delivered at scale. To be successful as an AI/MLOps Platform Engineer at this level, you should have experience with: Proficiency in Python engineering skills, especially in backend systems and infrastructure. Deep AWS expertise, including services like SageMaker, Lambda, ECS, Step Functions, S3, IAM, KMS, CloudFormation, and Bedrock. Proven experience building and scaling MLOps platforms and supporting GenAI workloads in production. Strong understanding of secure software development, cloud cost optimization, and platform observability. Ability to communicate complex technical concepts clearly to both technical and non-technical audiences. Demonstrated leadership in setting technical direction while remaining hands-on. Some other highly valued skills may include: Experience with MLOps platforms such as Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes). Strong understanding of AI infrastructure for scalable model serving, distributed training, and GPU orchestration. Expertise in Large Language Models (LLMs) and Small Language Models (SLMs), including fine-tuning and deployment for enterprise use cases. Hands-on experience with Hugging Face libraries and tools for model training, evaluation, and deployment. Knowledge of agentic frameworks (e.g., LangChain, AutoGen) and Model Context Protocol (MCP) for building autonomous AI workflows and interoperability. Awareness of emerging trends in GenAI platforms, open-source MLOps, and cloud-native AI solutions You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role can be based out of our Glasgow or Canary Wharf office. Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.

Join Us as an AVP AI Platform Engineer - Shape the Future of AI at Barclays. We're excited to launch a groundbreaking initiative at Barclays - building a next-generation platform that empowers front-office developers (Quants and Strats) to create high-performance, AI-driven applications. As an AVP AI Platform Engineer, you'll be involved in designing, building, and scaling robust platform components that enable advanced AI/ML workloads across both on-premises and cloud environments. This is a hands-on engineering role where your expertise will directly influence how we deliver secure, scalable, and innovative solutions. You'll collaborate with diverse teams, solve complex challenges, and help shape the technical direction of a platform that will transform how AI is leveraged in financial services. To be successful as an AVP AI Platform Engineer at this level, you should have experience with: Proven experience in Python engineering, with a focus on backend and infrastructure tooling. Deep knowledge of AWS services (IAM, KMS, CloudFormation, API Gateway, S3, Lambda, ECS, Glue, Step Functions, MSK, EKS, Bedrock). Experience scaling platforms for AI/ML workloads and integrating generative AI tooling. Understanding of secure software development, cloud cost optimization, and platform observability. Ability to communicate complex technical concepts clearly to technical and non-technical audiences. Demonstrated capability to guide engineering teams and influence technical strategy. Some other highly valued skills may include: Experience with MLOps platforms such as Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes). Strong understanding of AI infrastructure for scalable model serving, distributed training, and GPU orchestration. Expertise in Large Language Models (LLMs) and Small Language Models (SLMs), including fine-tuning and deployment for enterprise use cases. Hands-on experience with Hugging Face libraries and tools for model training, evaluation, and deployment. Knowledge of agentic frameworks (e.g., LangChain, AutoGen) and Model Context Protocol (MCP) for building autonomous AI workflows and interoperability. Awareness of emerging trends in GenAI platforms, open-source MLOps, and cloud-native AI solutions You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role can be based out of our Glasgow or Canary Wharf office. Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.

Join Us in Shaping the Future of AI at Barclays. We're launching an exciting new initiative at Barclays to design, build, and scale next-generation platform components that empower developers - including Quants and Strats - to create high-performance, AI-driven applications. As an AI/MLOps Platform Engineer, you'll play a pivotal role in this transformation, working hands-on to develop the infrastructure and tooling that supports the full lifecycle of machine learning and generative AI workloads. This is more than an engineering role-it's an opportunity to influence technical direction, collaborate across diverse teams, and help define how AI and GenAI are delivered at scale. To be successful as an AI/MLOps Platform Engineer at this level, you should have experience with: Proficiency in Python engineering skills, especially in backend systems and infrastructure. Deep AWS expertise, including services like SageMaker, Lambda, ECS, Step Functions, S3, IAM, KMS, CloudFormation, and Bedrock. Proven experience building and scaling MLOps platforms and supporting GenAI workloads in production. Strong understanding of secure software development, cloud cost optimization, and platform observability. Ability to communicate complex technical concepts clearly to both technical and non-technical audiences. Demonstrated leadership in setting technical direction while remaining hands-on. Some other highly valued skills may include: Experience with MLOps platforms such as Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes). Strong understanding of AI infrastructure for scalable model serving, distributed training, and GPU orchestration. Expertise in Large Language Models (LLMs) and Small Language Models (SLMs), including fine-tuning and deployment for enterprise use cases. Hands-on experience with Hugging Face libraries and tools for model training, evaluation, and deployment. Knowledge of agentic frameworks (e.g., LangChain, AutoGen) and Model Context Protocol (MCP) for building autonomous AI workflows and interoperability. Awareness of emerging trends in GenAI platforms, open-source MLOps, and cloud-native AI solutions You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role can be based out of our Glasgow or Canary Wharf office. Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.

Senior Developer - 400PD - Remote We are seeking a skilled and collaborative Senior Developer to join our engineering team. In this role, you will contribute to the design, development, and maintenance of high-quality backend services and infrastructure platforms. You will work across a modern technology stack and help shape best practices for delivery, automation, and open ways of working. Key Responsibilities Backend Development: Develop and maintain backend services, with Python as the preferred language for new systems. Provide support for services built in Java and .NET, ensuring seamless integration and continued reliability. Enhance and maintain existing solutions using Oracle SQL PL. Database & Data Services: Work with relational databases including Oracle, SQL Server, and Postgres. Optimise data models, queries, and stored procedures to improve performance and maintainability. Infrastructure & DevOps: Build, deploy, and manage applications using cloud platforms such as AWS and Azure. Use modern DevOps tools and practices-including GitHub, Azure DevOps, Docker, Kubernetes, and Linux-based systems-to deliver scalable, reliable services. Implement and maintain CI/CD pipelines with a strong focus on automation, continuous deployment, testing, and monitoring. Quality & Testing: Develop software using Test-Driven Development (TD D ), writing automated tests before implementing code. Ensure high quality across the stack through continuous testing, observability, and feedback loops. Ways of Working: Champion open and transparent engineering practices, including maintaining visible codebases, documentation, design histories, and roadmaps. Collaborate closely with cross-functional teams and contribute to a culture of knowledge sharing and continuous improvement. What We're Looking For Strong experience developing backend services with Python, plus working knowledge of Java and/or .NET. Proficiency in SQL and experience with Oracle PL/SQL or similar technologies. Hands-on experience with cloud platforms (AWS, Azure), containerisation, DevOps tooling, and CI/CD automation. Familiarity with TDD, automated testing frameworks, and modern monitoring/observability tools. A commitment to open, transparent, and collaborative engineering practices. To apply for this role please submit your CV or contact Dillon Blackburn on (phone number removed) or at (url removed). Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.

Application Software Engineer (Mid level - Senior), Degree, UI/UX, JavaScript Location: Cambridge, UK (Hybrid) Salary: 35,000 - 55,000 (depending on experience) The Company Join a pioneering AI and machine learning software house, led by award-winning entrepreneurs and known for pushing the boundaries of innovation. You'll be part of a collaborative, high-calibre team working on impactful, real-world projects, leveraging cutting-edge technologies including modern JavaScript libraries and front-end frameworks. What We're Looking For Education & Skills - A 2:1 or higher in Computer Science, Engineering, Physics, or a related field from a top university. - AAB or higher at A-levels. - Strong mathematical and analytical thinking skills. - Excellent communication and teamwork abilities, happy to be in a team and share ideas. Technical Skills - Exceptional with one or more of the following: Programming: Node.js, Python, Java, JavaScript (React, Angular, Vue.js), JavaScript libraries (React, Angular, Vue.js) - Databases: PostgreSQL, Elasticsearch, Redis - A proactive, problem-solving mindset and eagerness to learn. - Some UI or UX design work - Ideally a competent programmer in Java or Python to a high level - Someone that has been involved both backend and front end could do very well here. Experience - The sweet spot for the Application Software Engineer position is someone with three to five years industry experience in a cutting edge tech company. - Passion for software engineering and a desire to build scalable, high-quality applications. The Role As an Application Software Engineer, you'll: - Contribute to the design, development, and implementation of software applications. - Collaborate with a diverse and talented team of engineers. - Learn from an experience team whilst sharing your own ideas. - Designing smart web based applications, chance to work end back and front end. Why Join Us? - Work with a globally respected AI software company. - Competitive salary and benefits. - Hybrid working model with a collaborative office culture in Cambridge. - Learn from top experts in AI and machine learning. - Clear progression path and opportunities to grow your career. Application Process - Submit a CV that highlights your academic achievements and relevant experience. - Initial discussions will take place before your application is submitted to the employer. Ready to take the next step in your software engineering career? Apply now! Adecco is acting as an Employment Agency. We are an equal opportunities employer.

Senior Backend Developer Location: London - 1x a month Salary: Up to £95,000 (D.O.E) + benefits Fruition Group working with a leading Insurtech unicorn on a mission to transform the insurance industry. Their products have already generated millions in revenue, and now they're investing heavily in new innovations that will shape the sector for years to come. This is an exciting opportunity for a motivated Senior Engineer who wants to grow in a high-performing, forward-thinking business. As a Senior Backend Engineer, you'll play a central role in building and scaling the systems that power their insurance platform. You'll focus on developing Python-based cloud microservices (FastAPI preferred), contributing to the architecture of resilient, high-performance systems, and collaborating with a cross-functional team to deliver features at pace. This is a hands-on engineering position with plenty of scope to influence technical direction, improve processes, and grow your expertise in distributed systems. What will I be doing: Design, develop, and maintain Python microservices (FastAPI) running in production. Take ownership of features end-to-end, from design to deployment and monitoring. Write high-quality, testable code with a focus on scalability and resilience. Collaborate closely with engineers, product managers, and designers to deliver quickly. Contribute to evolving architecture, tooling, and CI/CD practices. What experience do I need: Strong background in Python development (FastAPI, Flask, or Django). Good knowledge of microservices, APIs, and cloud-based infrastructure. Experience with SQL and NoSQL databases, Git, and CI/CD workflows. Solid engineering fundamentals - data structures, OOP, debugging, and testing. Collaborative, curious, and eager to experiment with AI tools to improve productivity. If this position sounds of interest, please apply and a member of the team will be in touch to discuss further. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, or age.

Lead Backend Developer Location: London - 1x a month Salary: Up to £120,000 (D.O.E) + benefits Fruition Group are partnering with a high-growth Insurtech unicorn that's scaling its engineering function. This is a unique chance to work across both proven, revenue-generating products and greenfield initiatives that are reshaping the future of insurance. It's an ideal role for a driven Lead Engineer who thrives in ambitious environments and wants to make a tangible impact. As a Lead Backend Engineer, you'll take ownership of designing and scaling cloud-native Back End systems. You'll work primarily with Python (FastAPI) and play a key role in shaping the architecture of microservices that support millions of users. Beyond hands-on development, you'll provide technical leadership, mentor team members, and influence strategic engineering decisions. This is a high-impact role where your work directly drives product growth, system resilience, and platform evolution. What will I be doing: Design, develop, and optimise scalable Back End services in Python, leveraging FastAPI. Lead architectural discussions with a focus on performance, scalability, and reliability. Deliver complex features end-to-end - from design through deployment and monitoring. Provide mentorship through code reviews, technical guidance, and best practices. Collaborate with Product, Design, and Engineering teams to deliver at pace. Continuously raise the bar for engineering standards, code quality, and delivery. Shape the long-term direction of the platform's service-oriented architecture. Champion the use of AI and automation to enhance productivity across the team. What experience do I need: Strong background building and scaling Python-based systems (FastAPI, Flask, or Django REST). Proven leadership experience in a development environment Solid expertise in microservices, APIs, messaging patterns, and distributed systems. Proficient with cloud platforms (AWS, GCP, Azure) and containerisation (Docker; Kubernetes preferred). Strong engineering fundamentals - testing, clean code, performance tuning, and algorithms. Experience with relational and non-relational databases (PostgreSQL, MongoDB). Comfortable working in agile, fast-moving environments with high ownership. Curious about new technology, with a growth mindset and interest in AI-driven tools. If this role sounds of interest, please apply and a member of the team will be in touch to discuss your application. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, or age.

We are working with a high-growth AI technology company in the Greater Cambridge area who are seeking a Senior RF Data Scientist / Research Engineer to work at the intersection of RF hardware, digital signal processing, and machine learning. This is a hands-on R&D role ideally suited to engineers and scientists who enjoy fast-paced prototyping, complex problem-solving, and developing cutting-edge UAV/drone detection technologies. In this role, you will analyse complex RF data from software-defined radios (SDRs), develop advanced signal-processing pipelines, and contribute directly to the design and testing of novel sensing systems. You will be responsible for extracting and classifying RF signal features from raw IQ data, building diagnostic tools to characterise RF signals, and designing data-processing pipelines that account for real-world hardware constraints such as bandwidth limitations, ADC performance, and timing jitter. You will also model RF front-end behaviour, improving signal integrity and inference accuracy, and apply machine learning and statistical models for classification, anomaly detection, and emitter identification. You will prototype real-time and batch-processing systems using Python (NumPy, SciPy, PyTorch) and integrate them with frameworks such as GNU Radio, ZMQ, or C++ backends. The role involves leading RF data collection, field experiments, and over-the-air testing with drones, wireless devices, and custom transmitters. Collaboration across engineering and research teams is central, and you will contribute to both experimental design and iterative R&D development. The ideal candidate will have strong Python proficiency for data analysis and prototyping, a solid understanding of digital signal processing (FFT, filtering, modulation, correlation, resampling, and noise modelling), and familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR. A practical understanding of RF hardware chains - from antenna through filters, mixers, and ADCs - and their impact on baseband data is essential. You should also be comfortable debugging SDR setups, performing field-based RF data collection, and analysing wireless protocols such as Wi-Fi, LTE, and LoRa. Strong communication skills and the ability to work iteratively in a research-focused environment are essential. Experience with SDR hardware (bladeRF, HackRF, USRP, PlutoSDR), RF lab equipment (spectrum analysers, VNAs, signal generators), embedded or real-time systems, beamforming, passive radar, or antenna array design is highly desirable. Knowledge of RF circuit fundamentals, FPGA or GPU acceleration, and prior publications, patents, or open-source RF/ML contributions are also beneficial but not essential. This is a full-time role based in Saffron Walden / Greater Cambridge, with flexibility for onsite or hybrid working depending on project needs. You will join a dynamic Research & Prototyping team, directly influencing early-stage hardware-software product development and shaping the next generation of AI-driven sensing technologies. If you are an experienced RF data scientist or research engineer looking for a hands-on role at the cutting edge of RF, signal processing, and machine learning, we would love to hear from you. Zero Surplus is one of the UK's premier recruitment agencies, based just outside Cambridge our recruiters source staff for small and international businesses across Suffolk, Essex, Hertfordshire, Northants, Milton Keynes, Cambridgeshire, and the rest of the UK. For registration purposes, please let us know where you are currently based or which locations you are considering as well as your required salary and notice period. Please upload a Microsoft Word version of your CV where possible, excluding text boxes or images. Any data we collect from you will be stored and processed in accordance with Zero Surplus' Privacy Policy.

Senior Developer Location: Holborn, Central London (Hybrid) Reporting to: Head of AI and Technology Job Type: Full-time An exciting new permanent opportunity has become available for a Senior Developer, to join a juggernaut organisation in the recruitment industry. A highly dynamic, ambitious and fast-growing team dedicated to transforming the recruitment landscape through AI-driven, human-centered technology. They're looking for a Senior Developer to lead technical initiatives in a dynamic, AI-driven environment. If you have a track record of technical leadership and a passion for building innovative solutions, this role offers the opportunity to make a significant impact and perfect for your next career move. Day-to-day of the role: Contribute to and work with a team of 6 senior engineers, setting technical direction while actively coding and solving complex problems. Own the end-to-end delivery of features, ensuring speed, scalability, and quality are consistently achieved. Architect, develop, and maintain core components of the SaaS platform, including: Backend: Python, PostgreSQL Frontend: TypeScript, NextJS/NodeJS Integrate AI tools, APIs, and data pipelines to enhance platform intelligence. Uphold engineering best practices such as testing, CI/CD, and secure coding standards. Collaborate with the Head of AI and Technology to align development priorities with business objectives. Foster a culture of collaboration, continuous learning, and high performance within the team. Troubleshoot and resolve complex technical issues, ensuring platform reliability and uptime. Required Skills & Qualifications: 8+ years of commercial software development experience. Proven success in high-performing engineering teams within fast-paced environments. Deep expertise in: Python (Django, Flask, or FastAPI) PostgreSQL (design, optimisation, maintenance) Containerisation (Docker/Kubernetes) Event-driven architecture (Kafka/RabbitMQ) Desirable experience includes: TypeScript/JavaScript (NextJS, NodeJS, Tailwind) Terraform and DevOps practices Experience in building and scaling SaaS platforms in production. Strong background in software architecture, microservices, and API design. Hands-on experience with AWS platform. Excellent communication skills, capable of motivating and aligning technical teams. Experience with AI tools, APIs, or ML pipelines is highly desirable. Bonus: Exposure to startup environments. Benefits: Hybrid working model (minimum 3 days a week in office) 25 days annual leave plus bank holidays Flexible holiday scheme Paid time off to move home Contributory pension scheme Enhanced family leave benefits Insurance benefits including life assurance Discounts at gyms and popular retailers Wellbeing and mental health support To apply for the Senior Developer position, please submit your CV to be considered immediately.

Job Title : Software Team Lead Location : Yate, North Bristol (2/3 Days On-Site Per Week) Salary : Up to £80,000 (Depending on Experience) Job Overview : We re seeking a Software Team Lead to oversee the design, development, and deployment of innovative software solutions while mentoring and guiding a team of skilled engineers. This role combines strategic technical leadership with hands-on development, ensuring engineering excellence and seamless project delivery. Business Overview : My client develops Energy Management & Storage Systems that ensure the reliable and secure operation of critical energy infrastructure. They build: • Edge control software for real-time decision-making • Centralised data infrastructure to collect, store, and analyse system information • User-facing tools that visualise and interact with live power system operations In this role, you ll work across the full technology stack from embedded edge devices to cloud services and web applications helping design and refine the systems that keep modern energy networks running safely and efficiently. Responsibilities of the Role : • Lead and mentor a team of 4 8 engineers. • Drive architecture and design discussions for new features and systems. • Produce clean, efficient, and well-documented code. • Conduct code reviews and uphold engineering best practices. • Troubleshoot and resolve technical issues across the software stack • Hold regular 1:1s, performance reviews, and career development discussions. • Foster a culture of collaboration, accountability, and continuous improvement. • Guide day-to-day team operations, including stand-ups, sprint planning, and retrospectives. Required Skills & Experience: Technical Qualifications; • 5+ years of professional software development experience. • Strong proficiency in one or more languages such as Python, Java, or JavaScript/TypeScript. • Full-stack development experience, ideally with React (or similar) on the frontend and RESTful APIs backed by relational databases (e.g., Postgres) on the backend. • Experience working with cloud platforms such as AWS, Azure, or GCP. • Solid understanding of DevOps practices, CI/CD pipelines, and containerization technologies like Docker and Kubernetes. • Experience with authentication and authorisation frameworks (e.g., OAuth2, Keycloak) is a significant advantage. Leadership & Communication; • Demonstrated experience leading engineering teams or mentoring developers. • Strong communication and interpersonal skills. • Ability to translate business requirements into effective technical solutions. • Familiarity with Agile/Scrum development practices. To find out more, please apply with an up-to-date CV and you will be contacted and given further information. Note : All applicants must be able to work in the UK without the need for Sponsorship now or in the future.

GenAI Full Stack Engineer - Consultant / Senior Consultant Salary: 45,000 - 70,000 pa + 4,000 Bonus plus benefits, perks and healthcare options Job Type: Permanent - Hybrid / 2 x days per week - Travel to client site Base Locations: London, Manchester, Newcastle, Glasgow Overview: We're looking for a GenAI Full Stack Engineer who is passionate about solving real-world challenges through technology. You'll work closely with senior stakeholders both internally and within key clients to create GenAI strategies that translate business issues into relevant technical solutions and competitive propositions that are scalable, secure, and sustainable. Your Role: Collaborate with the team to develop GenAI proof-of-concepts (POCs) for clients using technologies like Retrieval-Augmented Generation (RAG) and intelligent agents. Scale existing POCs to production-ready solutions for customer use. Design and develop Full Stack applications for both GenAI and non-GenAI projects. Support the development of infrastructure to enable robust end-to-end solutions. Grow your skills by exploring and experimenting with emerging technologies, including GenAI. Your skills and experience: Backend Development: Experience in building microservices using either Python with FastAPI, or TypeScript with Express or equivalent Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar. CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins. Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB , Qdrant etc. NoSQL: Familiarity with NoSQL databases (e.g., MongoDB preferred). SQL: Experience working with SQL databases like PostgreSQL. Proficient in Git and version control platforms like GitHub, GitLab, etc. To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. If you're ready to take the next step in your career and thrive in a fast-paced, innovative environment, we want to hear from you! Please send updated CV to

Full Stack Engineer (Python, React, APIs, AWS) Location: West Midlands, 2 days a week in office is required. Reporting to: Technical Lead About my client My client is a dynamic scale up technology business focused on building innovative, cloud-based platforms. They pride themselves on delivering scalable, user-friendly solutions using modern frameworks and best practices. The team values collaboration, continuous learning, and cutting-edge engineering-leveraging technologies like Python, React, and AWS to create products that are reliable, efficient, and future-ready. Their culture is all about agility, creativity, and empowering developers to make a real impact. The role: They have asked me to find them a Full Stack Python Developer with proven commercial experience in a fast-paced environment to join their team where you'll work on their brand-new product. You'll be responsible for developing backend systems, creating and integrating APIs, and working closely with other engineers to ensure the platform is scalable and efficient. Why Join them as a Full Stack Developer? Work on a greenfield project with modern tech. Be part of a collaborative, ambitious team that values innovation. Help shape a platform that will make a real impact in the industry. What you'll do as the Full Stack Developer: Design and develop robust backend systems using Python (FastAPI or Flask). Build and integrate RESTful and GraphQL APIs . Develop React-based front-end components for a seamless user experience. Architect and deploy solutions on AWS , leveraging services like Lambda, S3, DynamoDB, and more. Write clean, reusable, and testable code following TDD/BDD principles. Collaborate with engineers to ensure scalability and efficiency . Participate in code reviews , share knowledge, and continuously improve. Debug and troubleshoot issues to keep things running smoothly. What my client are looking for in their next Full Stack Developer: Proven Python experience (FastAPI or Flask preferred). React expertise -this is essential. Strong experience with AWS cloud services (EC2, Lambda, S3, DynamoDB, etc.). Solid understanding of SQL and NoSQL databases . Experience with RESTful APIs and client-server communication. Strong problem-solving and debugging skills . Familiarity with Git and version control best practices. Bonus Points For Serverless architecture experience. Exposure to Scrum or Extreme Programming (XP). If you meet this requirement, please apply with an up to date to CV Studies suggest that women tend not to apply for a job if their CV isn't a perfect fit. Here, talent takes precedence over experience. So, if you like the role and think you could be awesome at it in time, go ahead and apply.

Role: AI Evangelist (Hands-On) A senior technical and advocacy role focused on bridging advanced AI technologies with practical business needs in a financial organisation. The position combines hands-on development with stakeholder education and strategic influence. Core Responsibilities Build and demonstrate AI-powered solutions for financial applications (e.g., trading, investment banking, insurance). Translate complex AI concepts into business value for technical and non-technical stakeholders. Conduct workshops and training to promote AI literacy and upskill teams. Author technical blogs, white papers, and internal documentation. Advise senior leadership on AI strategies and compliance. Represent the organization at industry events and forums. Ensure AI solutions meet regulatory and ethical standards. Prototype and deploy AI models for forecasting, customer insights, underwriting, and fraud detection. Technical Responsibilities Design and manage agentic AI architectures and generative code systems. Oversee code reviews and maintain standards for AI-assisted development. Develop testing and validation protocols for AI-generated code. Mentor technical teams and establish best practices. Collaborate with cross-functional teams for safe AI adoption. Qualifications Degree in Computer Science, Data Science, Finance, or related field. Strong programming skills (Python, SQL, C++, Java, etc.). Experience with AI/ML frameworks (TensorFlow, PyTorch). Minimum 4+ years in AI roles within finance or consulting. Knowledge of AI ethics, compliance, and data privacy. Excellent communication and stakeholder engagement skills. Desired Traits Passion for innovation in regulated environments. Strong problem-solving and technical storytelling abilities. Commitment to ethical AI deployment. Key Skills Advanced Python and backend languages. Expertise in prompt engineering, fine-tuning, RAG, and agentic design. Familiarity with AI tools (GitHub Copilot, ChatGPT, SonarQube, LangChain, etc.). Understanding of observability, security, and compliance in AI systems. Experience with containerization and cloud deployments. 5 Days on-site in the London Office (Blackfriars) Inside IR35 12 month contract Please send me a copy of your CV if you're interested

Senior RF Data Scientist / Research Engineer Near Cambridge My client, a fast-growing AI company based near Cambridge, is seeking a Senior RF Data Scientist / Research Engineer to work at the intersection of RF hardware, digital signal processing, and machine learning. This hands-on R&D role involves analysing complex RF datasets, developing advanced signal-processing pipelines, and contributing to cutting-edge UAV/drone detection technologies. You will play a key role in prototyping new sensing capabilities, working with SDRs, designing real-world RF experiments, and integrating machine-learning models into early-stage hardware software systems. This position is ideal for someone who thrives in fast-paced, iterative prototyping environments. Key Responsibilities Analysing raw IQ data from SDR platforms (e.g., bladeRF, USRP) to extract, classify, and interpret RF signal features Building diagnostic RF analysis tools (time frequency plots, cyclic spectra, EVM, autocorrelation, constellation tracking, etc.) Designing RF data-processing pipelines built around practical hardware constraints (bandwidth, ADC limits, gain stages, timing jitter) Modelling RF front-end behaviour (filters, mixers, LOs, AGC, noise figure) to improve signal integrity and inference accuracy Developing ML and statistical models for RF classification, anomaly detection, and emitter identification Prototyping real-time or batch-processing systems in Python (NumPy, SciPy, PyTorch) with potential integration via ZMQ, GNU Radio, or C++ backends Leading RF data collection, field experiments, and over-the-air testing using drones, wireless devices, and custom transmitters Requirements Strong Python proficiency for RF data analysis and prototyping (NumPy, SciPy, matplotlib, scikit-learn, PyTorch) Solid understanding of DSP fundamentals (FFT, filtering, modulation, correlation, noise modelling, resampling) Familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR Practical understanding of RF hardware chains (antenna filters mixers ADC) and their impact on baseband data Experience analysing wireless protocols (Wi-Fi, LTE, LoRa, etc.) and physical-layer structures Comfortable debugging SDR setups and performing field-based RF data collection Strong communication skills and ability to work effectively within an iterative R&D team Desirable Hands-on experience with SDRs (bladeRF, HackRF, USRP, PlutoSDR) and RF lab equipment (spectrum analysers, VNAs, signal generators) Experience in passive radar, beamforming, TDoA, Doppler, or direction finding Familiarity with embedded or real-time systems (FPGA pipelines, GPU acceleration, etc.) Programming experience in MATLAB, C++, Rust, or similar languages Knowledge of RF circuit principles (impedance matching, filter design, gain budgeting) Experience designing or testing antenna arrays for sensing/detection Publications, patents, or open-source RF/ML contributions Role Details Location: Cambridge area (onsite or hybrid depending on project needs) Department: Research & Prototyping Team Impact: Direct involvement in early-stage hardware software product development Interested? Please Click Apply Now! Senior RF Data Scientist / Research Engineer Near Cambridge

Role: Senior Software Engineer Locations: Gloucestershire Manchester London (Hybrid / Remote Options Available) Salary: 40,000 - 75,000 + Comprehensive Benefits Type: Full-time, Permanent PLEASE NOTE: This role requires UK citizenship and the ability to obtain high-level UK Security Clearance (typically requiring 10+ years of UK residency). Are you a skilled Software Engineer looking to apply your talents to mission-critical problems? Do you want to build secure, high-assurance systems that have a genuine impact on national security? On behalf of our client, a specialist UK technology company at the forefront of defence and cyber security innovation, we are seeking a talented Software Engineer to join their core team. This is an opportunity to work on innovative projects within a culture that blends enterprise-grade engineering with the agility of a start-up. The Role: As a Software Engineer, you will be integral to the design, development, and maintenance of secure, scalable software platforms for government and defence clients. You'll work within multi-disciplinary teams, contributing to the entire software lifecycle while upholding the highest standards of engineering and security. Key Responsibilities: Design, build, and maintain robust and secure software solutions. Collaborate with teams across cloud, data, and infrastructure domains. Contribute to all phases of the software development lifecycle. Uphold and advocate for strong engineering, testing, and security principles. Technology Exposure: You will have the opportunity to work with a modern and varied tech stack, including: Backend: Java, Python Frontend: TypeScript, React, Angular, Vue Cloud & Infrastructure: AWS, Azure, Docker, Kubernetes Data: Elasticsearch, Neo4J About You (The Ideal Candidate): A technically curious and adaptable software engineer with experience across modern technology stacks. Proven experience in software engineering; background in secure or regulated environments is highly desirable. A strong communicator who thrives in collaborative, high-autonomy teams. Must be a UK Citizen and eligible to obtain UK Security Clearance (which typically requires 10+ years of continuous residency in the UK). Desirable Experience: Previous work on Defence, Cyber Security, or Government projects. Understanding of secure software design principles. Experience in full-stack or cloud-native development. What's on Offer: In return for your expertise, you will receive a highly competitive package and unparalleled opportunities for growth in a critical sector. Generous pension with an 8% employer contribution. BUPA private health cover. Life insurance cover of 4x your salary. 25 days holiday + bank holidays, with the option to buy/sell up to 5 days. Electric Vehicle car scheme via salary sacrifice. EMI Share Scheme , giving you a stake in the company's success. 10 days of dedicated training allowance per year and a tailored career development plan. Flexible working hours and remote working options. Why Apply? This is more than just another software role. You will be working on projects with real national impact, using Innovative -edge technology to solve complex challenges. You'll join a fast-growing, people-first company that invests in its team, offering clear progression, fantastic benefits, and a supportive, flexible environment where your input truly matters.

Are you a Python Developer, keen help shape the technology that powers over 5,000 schools across the UK? Are you a Python Software Engineer who s excited by the idea of building intuitive, high-impact web applications that truly make a difference to the education sector? If you love writing clean code, collaborative development and solving real-world problems, this is your chance to work on meaningful products in a modern engineering environment. This is a fantastic opportunity to develop your skills in Flask and using AWS cloud technologies. Role: Python Developer aka Python Software Engineer, Software Engineer, Software Developer, Backend Python Engineer, Flask Developer, Full Stack Developer, Flask Location: 100% Remote with occasional team meet ups Salary: £38k - £42k base salary + great benefits You will design, develop and maintain Python written applications hosted on AWS, craft reliable REST APIs, optimise MySQL-backed systems and contribute to product features from concept to deployment. You will work closely with other developers, designers and product managers to deliver secure, scalable and elegant solutions while supporting best practices in testing, debugging and continuous improvement. You will have experience in Python web development, strong Flak or Django knowledge and confidence in building and maintaining databases. Full stack capabilities would be great, but are not essential as we are happy for you to learn. If you are ready to build cutting edge software that genuinely helps schools and learners thrive, CLICK APPLY send through a copy of a CV.

Head of DevOps - PaaS Platform Hybrid (Central London) 83zero is proud to partner with a high-growth startup that's redefining the B2B2C social media space. They're building a next-generation Platform-as-a-Service already making waves across global media ecosystems - and now they need a DevOps Leader to help scale it to the next level. Why This Role? This isn't just another leadership position. You'll own the technical vision for a serverless, event-driven, globally distributed platform on AWS. You'll lead a talented, distributed engineering team, shape high-performance APIs, and build systems that scale fast and run clean . What's On Offer Competitive salary + performance bonus Meaningful equity - build it, own it, grow with it Hybrid/remote-first working culture A seat at the decision-making table in a fast-scaling SaaS business Real autonomy, rapid progression, and zero bureaucracy A culture of experimentation, curiosity, and bold thinking Your Mission As DevOps Lead , you will: Architect and optimise a high-scale, cloud-native PaaS Drive CI/CD, automation, observability, and reliability Design and maintain secure, performant public APIs Build real-time, distributed systems on AWS (Lambda, DynamoDB, Kinesis, ECS/EKS) Mentor a cross-functional team and raise engineering standards Prototype and ship features that deliver commercial impact - including mobile apps and PWAs What You'll Bring Essential: 7+ years in software engineering, with 3+ years in DevOps or Technical Lead roles Experience building both front-end apps and backend dashboards Deep expertise in serverless/event-driven architecture on AWS Mastery of CI/CD, Agile delivery, and containerisation (Docker, Kubernetes) Proven leadership of distributed engineering teams Desirable: Background in social media, advertising, eCommerce, or news Proficiency in Node.js, Go, Python, Java , and modern front-end frameworks AWS certifications, microservices/service mesh, and streaming tech (Kafka/Kinesis) If you're ready to solve hard problems , enjoy architectural freedom , and want to shape something foundational - let's talk.

Technical Lead - PaaS Platform Hybrid (Central London) 83zero is proud to partner with a high-growth startup that's redefining the B2B2C social media space. They're building a next-generation Platform-as-a-Service already making waves across global media ecosystems - and now they need a DevOps Leader to help scale it to the next level. Why This Role? This isn't just another leadership position. You'll own the technical vision for a serverless, event-driven, globally distributed platform on AWS. You'll lead a talented, distributed engineering team, shape high-performance APIs, and build systems that scale fast and run clean . What's On Offer Competitive salary + performance bonus Meaningful equity - build it, own it, grow with it Hybrid/remote-first working culture A seat at the decision-making table in a fast-scaling SaaS business Real autonomy, rapid progression, and zero bureaucracy A culture of experimentation, curiosity, and bold thinking Your Mission As DevOps Lead , you will: Architect and optimise a high-scale, cloud-native PaaS Drive CI/CD, automation, observability, and reliability Design and maintain secure, performant public APIs Build real-time, distributed systems on AWS (Lambda, DynamoDB, Kinesis, ECS/EKS) Mentor a cross-functional team and raise engineering standards Prototype and ship features that deliver commercial impact - including mobile apps and PWAs What You'll Bring Essential: 7+ years in software engineering, with 3+ years in DevOps or Technical Lead roles Experience building both front-end apps and backend dashboards Deep expertise in serverless/event-driven architecture on AWS Mastery of CI/CD, Agile delivery, and containerisation (Docker, Kubernetes) Proven leadership of distributed engineering teams Desirable: Background in social media, advertising, eCommerce, or news Proficiency in Node.js, Go, Python, Java , and modern front-end frameworks AWS certifications, microservices/service mesh, and streaming tech (Kafka/Kinesis) If you're ready to solve hard problems , enjoy architectural freedom , and want to shape something foundational - let's talk.