16 jobs found

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. What does the team work on? Roku's Developer Platform team builds tools and embedded capabilities that help channel partners develop, tune, and debug high-quality apps. The team works across web applications, APIs, and platform services to improve the end-to-end developer experience and support partner success at scale. What is the role? Roku is looking for a Senior Full Stack Engineer to join the Developer Platform team and build AI-enabled web applications and services that improve app development and management workflows. This role will design and deliver full stack solutions that support external partners and internal stakeholders across the Roku ecosystem. You will contribute across frontend and backend systems, with a strong focus on reliability, scalability, and usability. You will build and evolve APIs and microservices, and help integrate modern AI capabilities into production experiences where they add clear user value. The role requires strong technical judgment, cross-functional collaboration, and the ability to move from concept through delivery in a fast-paced environment. You will join a high-performing team with a strong delivery culture and a commitment to building practical, high-impact developer tools. How will I use AI at Roku? At Roku, we don't just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability. We're looking for curious, adaptable builders who can show how they've used AI or automation to move faster, raise the bar, and scale their impact. We value your AI skills if you have built fluency across the agentic engineering toolchain - coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks - and can describe projects where you shipped real work with these tools. You know how to drive an agent, verify its output, and ramp on an unfamiliar codebase with an agent helping you. What are the responsibilities of the role? Design and build full stack web applications using React and Node.js Integrate AI capabilities including LLM-driven experiences where appropriate Develop APIs and microservices that connect tools, data, and platform workflows Deploy, scale, and monitor services in cloud environments using Kubernetes Build robust, highly available backend and frontend systems for developer-facing use cases Collaborate with cross-functional teams to define and deliver partner and internal tooling Troubleshoot production issues and improve performance and reliability Participate in code reviews and contribute to engineering best practices What experience would help someone be successful in this role at Roku? Proven full stack engineering experience with production web applications Strong skills in TypeScript, JavaScript, React, and Node.js Experience with backend development in Python or Go and frameworks such as FastAPI Familiarity with PostgreSQL, Redis, and REST API design and integration Experience with test-driven development and CI/CD workflows Experience integrating AI technologies such as OpenAI, LangChain, or RAG pipelines Understanding of authentication and authorization approaches including OpenID and SAML Experience deploying cloud-native services on AWS with containerized infrastructure and Kubernetes Experience with message queuing systems such as RabbitMQ or Apache Kafka Demonstrated AI/agentic-tooling fluency per the section above Bachelor's or Master's degree in Computer Science, Electronics, Communications, or a related field What's Roku's approach to hybrid working? Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance. What are some of the benefits? Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to . What should I know about Roku's culture? Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. To learn more about Roku, our global footprint, and how we've grown, visit By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing .

We're putting together a talented team to build the training platform for Runners We help everyday runners become outstanding by building an incredible app providing world-class training, coaching and community for everyone, whether you're improving your 5k time or training for your first marathon. We're growing extremely fast! In November 2023 we closed a $6.5M funding round led by JamJar with participation from Eka Ventures, Venrex and Creator Ventures. In 2024, we were selected by Apple as one of three global finalists for the iPhone app of the year, reflecting the innovation and impact of what we've built and in 2025 we were acquired by Strava! Our ambition is huge: to become the go-to global leading training platform for millions of runners everywhere. We're growing with purpose and looking for people who want to build something meaningful with lasting impact. With the recent acquisition by Strava accelerating our journey, now is a really magical time to join. The team you'll join We are looking for talented, creative and positive team players to join our highly-skilled cross-functional engineering team. You'll sit on the Train Team where you will work closely with our modelling teams to integrate features that are core to Runna's mission (think adapting plans around holidays and B races, supporting new cutting edge plans, and building in-app experiences around our AI/ML tooling). You will work closely with our founders, CTO, and engineering leadership team to help shape the future of Runna, who will support you all along this exciting journey. We have a jam packed roadmap, with countless opportunities to champion new technologies, work on meaningful problems that impact millions of runners, and improve existing architecture to elevate the whole of our engineering team. What You'll Do: Architect, build, test and deliver new features across the full stack Work with the Product team to identify the most suitable solution for the best customer experience Collaborating with modelling/AI engineers to design architecture used to interface between the Runna training engine and Runna app Always be on hand to help other team members when they need help on technical matters Help us operate more efficiently, by building and maintaining our developer tooling and CI/CD pipeline We rotate the responsibility of releases across each team member, so you will get the opportunity to lead the process and deploy changes to production What You'll Bring to the Team: Very proficient in TypeScript/JavaScript development Able to work in a highly skilled engineering team in a fast-paced, iterative environment. In 2024 we shipped: 99 mobile app releases (iOS and Android) 443 API releases 237 modelling backend releases 2+ years experience in your main expertise area (Frontend, Backend etc) Comfortable picking up new things and working on technologies outside your comfort zone Are skilled in delivering features end-to-end, from architecture design and building through to releasing, testing and supporting Enthusiasm for our ways of working which include: Iterative development, continuous deployment and test automation Knowledge sharing, pair programming, collaborative design & development Shared code ownership & cross-functional teams Are experienced in delivering features full-stack Have experience with React Native Have experience with AWS Bonus points if you have: Have experience working with native frameworks and tooling (SwiftUI, etc) Are experienced in deployment, releasing cycles or CI/CD Experience with Terraform or other IaC tooling (e.g. CDK, CloudFormation, etc.) Have experience in open source contributions, including reporting bugs/issues in GitHub, testing new releases, or contributing to code Our Tech Stack Find below a small reflection of our current tech stack: Frontend: React Native (iOS and Android) Typescript GraphQL (Apollo Client) Fastlane SwiftUI (Apple Watch) Maestro E2E tests Backend: Serverless (AWS) Lambdas (NodeJS & Python) AWS AppSync DynamoDB, S3, SQS, SNS, EventBridge, SageMaker Snowflake All the other good stuff: Sentry GitHub Actions Intercom, Mixpanel RevenueCat App Store Connect / Play Store Google Tag Manager We follow a flexible hybrid model that translates to more than half of your time on-site - 3 days per week in Runna's office based in London, UK. Salary and Benefits We're offering a salary of £70,125 - £78,375 per year, depending on experience, plus participation in Strava's long-term incentive (stock) programs. Overview of our benefits is below: We're also committed to continually evolving our benefits to support you as we grow. Here is a brief overview what we currently offer in the UK Flexible working - we typically spend 3 days a week together in our Vauxhall office 25 days holiday, plus bank holidays (which you can take whenever suits you) Free Runna & Strava subscriptions for you and 3 of your friends (get ready to be your friends fave person or save them for holiday presents!) Headspace membership Money every year to spend on gear, events and the gym! Private health insurance with Bupa and workplace pension scheme Modern Health is a mental wellness platform and app that combines technology with professional support to improve mental well-being and reduce stress Carrot fertility support - this benefits provider can provide inclusive fertility, hormonal health, and family-forming benefits to our global employee population and takes the burden off what we know can be a stressful process. Please see more info on our amazing benefits here: Benefits at Runna Our Interview Process: Our aim is to keep the interview process as straightforward and enjoyable as possible, and will consist of the following stages: Screening call with Talent team (30 minute video call) Getting to Know You + Live Coding (45-minute video call, first 25 mins will be an introductory chat followed by two live coding exercises from the website ) Take home technical task (max 1-2 hours to complete, or if you have something interesting you recently built and would like to showcase then that's perfectly OK) 1.5-hour technical interview (the first half of the call will be used to discuss the take-home technical task from the previous stage and the second half will consist of system design and some general architecture/tech questions) Meet the team (in-person chat with founder(s) and rest of the team) Please let us know if there's anything we can do to better accommodate you throughout the interview process - this can be from scheduling interviews around childcare commitments to accessibility requirements. We want you to show your best self in the process, so please speak to your Talent Partner

Job Title: Senior Software Engineer Location: London Victoria, Hybrid Reports to: Head of Platform Overview A bit about us At nudge we believe people need to be in control of their finances. nudge puts you in control of your money. Combining behavioural psychology, data, and personalised education, our financial wellness benefit empowers people to develop their financial skills and knowledge. A global SaaS solution without conflicting financial products, our inclusive approach is trusted by some of the world's most recognisable brands, such as Meta, Accenture and PepsiCo, to support the financial wellbeing of their employees. About the team Our team is united by the shared purpose to create brighter financial futures for everyone, everywhere. Role purpose We value our senior engineers as product thinkers and technical leaders. You'll help design and deliver scalable, secure software that powers our global financial wellbeing platform Responsibilities Backend development using technologies including C#, .NET Framework and .NET Core, Microservices, Cloud Technologies (Azure), SQL Server, RabbitMQ and MassTransit Working on front end using technologies such as Angular, Typescript, SCSS and WebAPIs Testing Frameworks such as NUnit and the ability to carry out test-driven development Strength in SQL and Mongo skills, specifically in areas such as tuning, optimisation, sharding and general diagnostics Working alongside other team members such as product managers and quality engineers, to design and deliver new functionality or features using the most appropriate tools and techniques Working in weekly sprints Participation in full software development lifecycle Playing an active role in the technology team to help with the direction of the product for end users Skills and experience To help you do all this, you will need: Experience with .NET Framework or .NET Core, C# and Python Experience with HTML, CSS, Typescript and Angular Experience with SQL Databases and Mongo Unit and Integration Testingexperience Understanding of what makes maintainable code and the ability to implement best practices Debugging within Visual Studio (or an IDE of your preference) Experience in Data Security within the application and familiarity with OWASP top 10 threats (desirable) Experience with CI/CD pipelines and cloud technologies such as Azure (desirable) Experience working in an Agile environment (desirable) What's in it for you? We have an open, friendly, and supportive work environment that we hope you'll be proud of. And we're growing fast, which means great opportunities for you and your people to gain broad and diverse experience alongside some of the brightest minds in the industry. We offer a very competitive reward and benefits package, which includes: Share options Private Medical Insurance Health Cash Plan Life Assurance Critical illness cover A flexible working environment 25 days annual leave, plus your birthday off A personal learning and development allowance A company pension scheme Our culture and values We are a business that is powered by our culture and the extraordinary people who work here. Our values are central to our culture and embody the behaviours that make us successful. They are "Friends through thick and thin", "Embracing differences, supporting individuals", "Leading and sharing" and "Always learning".

About AudioStack AudioStack is revolutionising the way brands and businesses create audio content at scale. Our AI-powered platform enables the seamless generation and customisation of high-quality audio (complete with voiceovers, SFX and music beds). We work with leading global brands, agencies, and developers, helping them unlock the full potential of audio automation. About the Role AudioStack is building the next generation of intelligent and automated audio creation - a system that uses AI agents to orchestrate audio production at scale. We're looking for a Senior Agentic AI Engineer to own the architecture and delivery of our agentic capabilities, from designing multi-step agent workflows to shipping production-grade orchestration pipelines. You'll join a small, high-impact backend team in London and work closely with product and engineering leadership to define how intelligence is embedded into our platform. This is a hands on, high ownership role: you'll scope problems with the product manager, design solutions, build them, and see them through to production - all in a fast-moving environment where priorities shift and ambiguity is the norm. What You'll Be Doing Own the end-to-end delivery of agentic systems - from scoping with Product to shipping to production. Design and implement multi agent orchestration systems, including agent loops, tool use patterns, and context management strategies. Make key architectural decisions around LLM integration: prompt design, caching strategies, cost management, and evaluation approaches. Build real time communication layers (Server Sent Events, WebSockets, HTTP/2 streaming) to power agent to frontend and agent to agent interactions. Contribute to the wider code base roadmap. Our product is great because we combine innovative AI and audio solutions in a best in class software foundation - all our engineers work to make the overall product exceptional. Raise the bar of backend engineering quality across the team through code review, knowledge sharing, and adoption of best practices. Collaborate with engineering and product leadership on technical direction, balancing short term delivery with long term platform health. Own the quality of the systems you build - including testing, monitoring, incident response, and iterating based on customer and stakeholder feedback. Strong production experience with Python and a track record of shipping backend systems to production end to end. Practical, hands on experience building agentic AI systems. Demonstrated ability to operate in a resource constrained, fast moving environment with ambiguous objectives and shifting priorities. Solid systems and solutions design skills, with the ability to scope problems, propose candidate architectures, and communicate trade offs clearly. Experience with real time communication protocols. Practical experience with cloud infrastructure, CI/CD pipelines - enough to bring a solution to production without depending on a dedicated infra team. A track record of raising engineering quality in a team - through code review, mentoring, or introducing better practices. Desirables Hands on experience going beyond out-of-the-box LLMs and prompt engineering such as RAG pipelines or fine tuning LLMs. Familiarity with agentic coding tools (e.g.Claude Code) and an understanding of patterns like context saturation management and agentic development loops. Background in audio, speech, or media technology. Stock Options (subject to performance and time served). The opportunity to work in a leading voice & audio AI company, with an exceptional tech team with diverse and highly recognised backgrounds. Be part of a great story: we are making audio scalable for the first time in history. Hybrid working and Flexible working hours with 2 days in the office per week. The opportunity to shape a startup culture in a company in the fast growing audio/video space. A truly international and diverse team. Offices in the hottest startup hubs London, Barcelona, New York and San Francisco Dog friendly offices (come and meet Swanson and Bernie)! Why Is Now a Really Exciting Time to Join AudioStack AudioStack is the leading Audio-As-A-Service company with a very strong technology stack and AI R&D team, featured in some of the leading media. We have a great team and culture and you will be immersive in a very international environment and market. We are still a small team of 40 people expanding rapidly internationally. As an early employee you have a lot of room to apply and grow your skills fast, build out a team and move quickly with your ideas, enjoying a lot of space, flexibility and trust. Join us now to revolutionise how audio production is delivered at scale! Our Commitment to Diversity We embrace diversity at AudioStack. To build a product that's loved by everyone, we need a team with all kinds of different perspectives, experiences, and backgrounds. That's why we're committed to hiring people regardless of race, religion, colour, national origin, sex, sexual orientation, gender identity, age or disability.

Company Description Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of over 35 million users, Depop is on a mission to make fashion circular, redefining fashion consumption. Founded in 2011, the company is headquartered in London, with offices in New York and Manchester, and in 2021 became a wholly-owned subsidiary of Etsy.Find out more at Our mission is to make fashion circular and to create an inclusive environment where everyone is welcome, no matter who they are or where they're from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users. We're proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We're continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have. If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to . For any other non-disability related questions, please reach out to our Talent Partners. Role We're looking for a Staff Backend Engineer - Data Platform to be a key technical leader within the teams responsible for Depop's data platform. You'll drive the technical vision and implementation for our foundational data platform - from experimentation, event ingestion pipelines to our data lake, governance frameworks, and data observability and real-time analytics capabilities. You will work closely with data scientists, machine learning engineers, backend teams, and product leaders, providing deep technical expertise to ensure our data systems are scalable, secure, observable, and enable innovation across the company. Responsibilities Partner with stakeholders across Product, Data, and Engineering to translate strategic goals into well-architected, scalable platform capabilities. Drive the technical design and implementation of core data platform components, providing hands-on coding and architectural leadership. Define and evolve the technical roadmap for Depop's modern data platform, ensuring reliable and scalable analytics. Champion engineering excellence, setting high technical standards and advocating for best practices in system design, maintainability, performance, and privacy. Lead efforts in data observability, governance, and privacy-by-design principles, ensuring their robust implementation across the organization. Mentor and coach engineers, elevating the technical capabilities of the team and fostering a culture of technical excellence. Identify and address complex technical challenges and bottlenecks, proposing and implementing effective solutions. Qualifications Proven experience as a Staff Engineer or equivalent senior technical leadership role in data infrastructure or platform at scale, ideally in a consumer or marketplace environment. Deep understanding of distributed systems and modern data ecosystems - including extensive experience with Databricks, Apache Spark, Apache Kafka, Apache Flink, Apache Beam and DBT. Demonstrated success in designing, building, and operating data platforms at scale, encompassing both batch processing and real-time streaming architectures. Expertise in data warehousing concepts, advanced ETL/ELT processes, and analytics engineering best practices. Exceptional programming skills, particularly in Python, Scala, or Java, and deep expertise with cloud platforms (AWS, GCP, or Azure). Extensive experience working with privacy-sensitive datasets and implementing robust data observability and governance frameworks. A strong technical background with a track record of hands-on architecture and development of complex data systems. Ability to think strategically and pragmatically: you can define long-term technical strategies and execute rapidly. Excellent communication and collaboration skills; you're comfortable influencing technical direction and aligning diverse stakeholders across the organization. Bonus points: Experience with machine learning infrastructure or ML Ops practices. Familiarity with event-driven architectures in a mobile-first product environment. Prior work in fashion, marketplaces, or sustainability-driven tech. Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching with Self Space Cycle to Work scheme with options from Evans or the Green Commute Initiative Employee Assistance Programme (EAP) for 24/7 confidential support Mental Health First Aiders across the business for support and signposting Work/Life Balance: 25 days annual leave with option to carry over up to 5 days 1 company-wide day off per quarter Impact hours: Up to 2 days additional paid leave per year for volunteering Fully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love. Flexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options role dependant All offices are dog-friendly Ability to work abroad for 4 weeks per year in UK tax treaty countries Family Life: 18 weeks of paid parental leave for full-time regular employees IVF leave, shared parental leave, and paid emergency parent/carer leave Learn + Grow: Budgets for conferences, learning subscriptions, and more Mentorship and programmes to upskill employees Your Future: Life Insurance (financial compensation of 3x your salary) Pension matching up to 6% of qualifying earnings Depop Extras: Employees enjoy free shipping on their Depop sales within the UK. Special milestones are celebrated with gifts and rewards!

About AudioStack AudioStack is revolutionising the way brands and businesses create audio content at scale. Our AI-powered platform enables the seamless generation and customisation of high-quality audio (complete with voiceovers, SFX and music beds). We work with leading global brands, agencies, and developers, helping them unlock the full potential of audio automation. About the Role AudioStack is building the next generation of intelligent and automated audio creation - a system that uses AI agents to orchestrate audio production at scale. We're looking for a Senior Agentic AI Engineer to own the architecture and delivery of our agentic capabilities, from designing multi-step agent workflows to shipping production-grade orchestration pipelines. You'll join a small, high-impact backend team in London and work closely with product and engineering leadership to define how intelligence is embedded into our platform. This is a hands on, high ownership role: you'll scope problems with the product manager, design solutions, build them, and see them through to production - all in a fast-moving environment where priorities shift and ambiguity is the norm. What You'll Be Doing Own the end-to-end delivery of agentic systems - from scoping with Product to shipping to production. Design and implement multi agent orchestration systems, including agent loops, tool use patterns, and context management strategies. Make key architectural decisions around LLM integration: prompt design, caching strategies, cost management, and evaluation approaches. Build real time communication layers (Server Sent Events, WebSockets, HTTP/2 streaming) to power agent to frontend and agent to agent interactions. Contribute to the wider code base roadmap. Our product is great because we combine innovative AI and audio solutions in a best in class software foundation - all our engineers work to make the overall product exceptional. Raise the bar of backend engineering quality across the team through code review, knowledge sharing, and adoption of best practices. Collaborate with engineering and product leadership on technical direction, balancing short term delivery with long term platform health. Own the quality of the systems you build - including testing, monitoring, incident response, and iterating based on customer and stakeholder feedback. Strong production experience with Python and a track record of shipping backend systems to production end to end. Practical, hands on experience building agentic AI systems. Demonstrated ability to operate in a resource constrained, fast moving environment with ambiguous objectives and shifting priorities. Solid systems and solutions design skills, with the ability to scope problems, propose candidate architectures, and communicate trade offs clearly. Experience with real time communication protocols. Practical experience with cloud infrastructure, CI/CD pipelines - enough to bring a solution to production without depending on a dedicated infra team. A track record of raising engineering quality in a team - through code review, mentoring, or introducing better practices. Desirables Hands on experience going beyond out-of-the-box LLMs and prompt engineering such as RAG pipelines or fine tuning LLMs. Familiarity with agentic coding tools (e.g.Claude Code) and an understanding of patterns like context saturation management and agentic development loops. Background in audio, speech, or media technology. Stock Options (subject to performance and time served). The opportunity to work in a leading voice & audio AI company, with an exceptional tech team with diverse and highly recognised backgrounds. Be part of a great story: we are making audio scalable for the first time in history. Hybrid working and Flexible working hours with 2 days in the office per week. The opportunity to shape a startup culture in a company in the fast growing audio/video space. A truly international and diverse team. Offices in the hottest startup hubs London, Barcelona, New York and San Francisco Dog friendly offices (come and meet Swanson and Bernie)! Why Is Now a Really Exciting Time to Join AudioStack AudioStack is the leading Audio-As-A-Service company with a very strong technology stack and AI R&D team, featured in some of the leading media. We have a great team and culture and you will be immersive in a very international environment and market. We are still a small team of 40 people expanding rapidly internationally. As an early employee you have a lot of room to apply and grow your skills fast, build out a team and move quickly with your ideas, enjoying a lot of space, flexibility and trust. Join us now to revolutionise how audio production is delivered at scale! Our Commitment to Diversity We embrace diversity at AudioStack. To build a product that's loved by everyone, we need a team with all kinds of different perspectives, experiences, and backgrounds. That's why we're committed to hiring people regardless of race, religion, colour, national origin, sex, sexual orientation, gender identity, age or disability.

What we do: Zero100 is a membership-based intelligence company that connects, informs, and inspires the world's most influential C-Level Operations & Supply Chain Officers - and their teams - to unlock the true potential of the AI and Digital Revolution. Our members use Zero100's research, advisory services, data, and peer community to sharpen strategy, challenge assumptions, and accelerate progress on their most important transformation priorities from AI adoption and digitization to resilience and decarbonization. With a rapidly expanding headquarters in central London, Zero100's members include Nike, Walmart, Unilever, Pfizer, Google, Honeywell, and General Motors. Recent recognition: 2026 King's Award for Enterprise in International Trade The Sunday Times Best Places to Work 2026 The Sunday Times 100 (), 2025 LinkedIn Top 25 Start-Ups (), 2025 What you will do: Note that this is a primarily office-based role ( 4 days per week). As an AI Engineer at Zero100, you will support the development of AI, data and agentic systems used by our research, product, and member-facing teams. This role is ideal for someone who wants to build practical experience with production AI systems. You will work closely with senior engineers to implement features, improve data pipelines, support retrieval workflows, test AI outputs, and help turn prototypes into reliable internal tools and product capabilities. You will be hands on with Python, SQL, cloud platforms, data processing, and LLM based workflows and you will be expected to take ownership of well defined technical tasks, support production systems, debug issues, document your work, and collaborate with non technical teams to turn practical business needs into working solutions. Responsibilities: Implement well defined AI, data, and backend engineering tasks under guidance from senior engineers. Build and maintain smaller components of RAG pipelines, agent workflows, data pipelines, and internal AI tools. Write clean Python and SQL code for data processing, API integrations, model workflows, and automation tasks. Help prepare, clean, transform, and validate datasets used by research, product, and AI systems. Support retrieval workflows by improving chunking, metadata tagging, embeddings, search quality, and evaluation datasets. Assist with testing and evaluating AI outputs, including prompt tests, regression checks, and basic quality measurements. Conduct exploratory prototyping of new AI/ML approaches and evaluate emerging models, frameworks, and techniques Work closely with research, product, and member facing teams to understand data requirements and deliver clean, reusable data products Learn and apply engineering best practices around version control, testing, CI/CD, data governance, and maintainable code. Contribute to engineering standards, documentation, and processes as the team scales Requirements: 2-3 years of experience in software, data, ML, or AI engineering roles, ideally in startup or high growth environments, with examples of work you have taken through to production Strong Python and SQL skills, with experience building software deployed in production cloud environments Experience implementing or building applications using LLMs, AI APIs, or open source language models Working knowledge of cloud platforms such as AWS or Google Cloud Familiarity with modern software development practices, including version control, testing, code review, containerization, CI/CD, and API development Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Mathematics, Engineering, or a related technical discipline, or equivalent industry experience demonstrating strong software engineering fundamentals Master's degree in Data Science, Data Engineering, Artificial Intelligence, or a related technical discipline Strong communication skills and ability to work with technical and non technical stakeholders to understand needs and explain complex ideas clearly Eligible to work in the UK Able to work 4 days per week on site A genuine interest in agentic AI systems and emerging LLM based architectures and frameworks such as LangGraph Comfortable with ambiguity and excited to learn quickly, take ownership, and grow with the team as we scale Knowledge of supply chain and operations contexts is a plus. Experience working cross functionally with research teams, product teams, or member facing commercial teams is a plus. Benefits: Unlimited holidays Private healthcare & Life Insurance Enhanced pension Enhanced Parental Leave Policy Custom designed offices with free breakfasts & snacks Zero100 is an Equal Opportunity Affirmative Action Employer, welcoming applications from individuals of all backgrounds. We embrace diversity and inclusion in our workplace.

About the companythe company is the enterprise AI platform, a full-stack solution for building, fine-tuning, and deploying AI at scale. Whether an organization is modernizing internal operations, launching AI-powered products, or transforming customer experiences, the company takes them from concept to production on a single, unified platform. We work differently than most AI companies: our teams deploy alongside our customers, turning production-ready AI into real business outcomes in weeks, not quarters. We're a fast-growing, VC-backed startup led by founders with a track record of successful exits. With teams across the US, UK, and India, we're building the next generation of enterprise AI and we're looking for exceptional people to help us scale. Who You Are You're a seasoned engineer who has built and scaled high-performance inference systems for AI/ML workloads. You understand the complexities of serving models at scale latency optimization, resource orchestration, autoscaling dynamics, and production reliability. You've designed distributed systems that handle thousands of requests per second while maintaining sub second response times and cost efficiency. Experience with Golang is strongly preferred, and exposure to inference engines (vLLM, TGI, TensorRT), containerization, and distributed systems is an added bonus. You take ownership of platform level decisions, think strategically about performance vs. cost trade offs, and want your work to power AI inference for thousands of developers globally. You're product minded, you understand how your technical decisions impact developers using the company's platform and think about the end to end user experience. You're a team player comfortable wearing multiple hats one day you're optimizing inference latency, the next you're joining customer calls to understand their deployment challenges, and the day after you're helping with UI/UX, customer success, documentation and product ops. What You'll Do Inference Platform Architecture & Core Services Design and build the company's inference service platform the backbone for serving AI models at scale across diverse workloads Own and architect core platform components: AI Gateway, Resource Orchestrator, Runtime Engines, and Autoscaler Design highly modular, scalable, and extensible low level designs (LLDs) for inference infrastructure components Lead high level design discussions, establish architectural patterns, and drive technical decision making for the inference stack Model Deployment & Lifecycle Management Understand and optimize the dynamics of model deployment, version upgrades, and rollback strategies Build robust deployment pipelines for seamless model updates with zero downtime deployments Design intelligent routing systems for multi model serving, A/B testing, and canary deployments Implement strategies for efficient GPU utilization and model cold start optimization Performance & Distributed Systems Implement highly performant and optimized software for low latency, high throughput inference serving Build and debug production grade code in distributed systems handling real time AI workloads Optimize inference pipelines for latency, throughput, batching efficiency, and resource utilization Design fault tolerant systems with graceful degradation and automatic recovery mechanisms Observability & Engineering Excellence Build high performance telemetry and observability stack for inference metrics, performance tracking, and debugging Implement comprehensive monitoring for model latency, throughput, error rates, GPU utilization, and cost per inference Conduct thorough code reviews to maintain code quality, performance standards, and architectural consistency Establish engineering best practices for testing, documentation, and production readiness. Requirements Technical Skills & Experience 4+ years of experience building and scaling backend systems, distributed platforms, or inference infrastructure Strong understanding of AI/ML inference systems and experience with inference engines (vLLM, TGI, TensorRT LLM, or similar) Deep knowledge of distributed systems design, microservices architecture, and API gateway patterns Proficiency in Golang strongly preferred; Python, Rust, C++ for performance critical components a plus Experience with container orchestration (Kubernetes, Docker) and infrastructure as code Solid understanding of autoscaling strategies, load balancing, and resource scheduling algorithms Experience building high throughput, low latency systems with sub 100ms response time requirements Familiarity with message queues (Kafka, RabbitMQ), databases (PostgreSQL, Redis), and event driven architectures Knowledge of GPU computing, model serving optimizations (batching, quantization, multi tenancy), and resource allocation Experience with observability tools (Prometheus, Grafana, OpenTelemetry) and distributed tracing Understanding of API design, rate limiting, authentication/authorization, and security best practices Exposure to AI model deployment workflows and model lifecycle management is highly desirable Bonus / Good to Have HPC & Cluster Management: Experience handling large scale HPC clusters using Kubernetes and Slurm for job scheduling, resource allocation, and workload orchestration Data Engineering: Expertise with data pipelines, ETL systems, and large scale data processing frameworks Systems-Level Programming: Experience with low level systems programming such as storage systems, Kubernetes operators, OS-level software development, or daemon services (llm d, system agents) ML Platform Engineering: Experience productionizing ML pipelines, batch job orchestration, model fine tuning workflows, and Jupyter notebook orchestration systems Enterprise Deployment: Experience platformizing and packaging software for on premises deployments or customer VPC installations with emphasis on security, compliance, and operational simplicity Benefits Preferred Attributes High ownership, self driven and biased for action. Strong strategic thinking and ability to connect technical decisions to business impact. Excellent communication and mentoring skills. Thrives in ambiguity, fast paced environments, and early-stage startup culture. Why Join the company? Work directly with high pedigree founders shaping technical and product strategy. Build infrastructure powering the future of AI computers globally. Significant ownership and impact with equity reflective of your contributions. Competitive compensation, flexible work options, and wellness benefits

About the Team Join a team dedicated to delivering customer-focused features that elevate user experiences on a global scale. Our team specializes in creating engaging content such as wallpapers, screensavers, trivia, featured experiences, AI project for content generations, and more. Guided by an ambitious product roadmap, we aim to accelerate growth and scale by introducing innovative features to millions of users worldwide. We foster a culture of ownership where developers and engineers are self-motivated to tackle challenges and ship impactful solutions. Collaboration is key-engineers work closely with cross functional teams, including UI design, product management, and business leadership, to make things happen. If you're passionate about reimagining the world of streaming media in a dynamic, collaborative environment, this is the team for you. About the Role Our products are known for their seamless integration and intuitive design that delights users right out of the box. These qualities are the result of meticulous engineering and a commitment to excellence. As part of the engineering team, you'll develop and manage features for Screensavers, Static & Dynamic Wallpapers, Trivia, Featured Experience and AI initiatives. You will be working on AI initiatives to develop new features on platforms to create user enhancing experiments. What You'll Be Doing Designing and developing features for new experiences on the Roku platform. Creating PoC to elaborate on ideas and work in a startup mindset to break fast and deliver quickly. Collaborating with UI/UX design and backend team to create and implement new experiences. Adapting PoCs for productionising the solution. Investigating, diagnosing, and resolving issues to maintain commercially viable solutions. We Are Excited If You Have At least 10 years experience in a Software Engineering environment. Substantial project experience based on using AI/ML and LLM technologies. Proficiency in scripting languages such as JavaScript, TypeScript, React Native, Python, BrightScript, or related technologies. Experience working in an embedded environment. Consumer electronics experience in media/content or ad product development is a plus. Experience in productionizing solutions, including content management, UI development, cloud development, and cloud backend integration. Knowledge of Core OS concepts like memory management and multi threading. Experience in API design, with an understanding of considerations and trade offs. Strong communication skills, as this role involves frequent collaboration across teams. Bachelor's or Master's degree in Computer Science or a related field. Our Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to .

Senior AI Engineer Location: Scotland (Edinburgh Hybrid) Practice Area: Technology & Engineering Type: Permanent Shape the future of AI-powered financial services through cutting-edge generative AI engineering and enterprise-scale innovation. The Role We're looking for a Senior AI Engineer (Senior/Principal Consultant) to join our Technology Delivery team. In this role, you'll combine deep expertise in AI/ML engineering and software development to design, build, and deploy advanced generative AI and agentic systems for leading financial services clients. You'll work hands on across the full AI engineering lifecycle, from architecting intelligent multi agent systems to deploying scalable production grade AI applications within enterprise environments. As a senior consultant, you'll also collaborate closely with multidisciplinary teams and client stakeholders to drive innovation, accelerate adoption, and deliver measurable business impact. This role is aligned to our Scotland office, with flexibility to work from either Glasgow or Edinburgh depending on client expectations. What You'll Do Architect and develop autonomous AI systems leveraging multi modal large language models across text, image, audio, and video Design and implement agentic workflows using prompt engineering, Retrieval Augmented Generation (RAG), APIs, and enterprise data integrations Fine tune, optimize, and deploy large language and multi modal models with a focus on scalability, reliability, and low latency performance Build scalable MLOps pipelines and cloud native AI applications to support secure, production grade deployments Collaborate with clients and cross functional teams to shape AI engineering strategy and accelerate GenAI adoption across complex environments What We're Looking For Bachelor's degree or higher in Computer Science, Artificial Intelligence, Engineering, or a related STEM discipline Proven hands on experience deploying LLMs and multi modal AI models within enterprise or large scale production environments Strong software engineering expertise in Python, including backend development, API design, and distributed systems Solid understanding of scalable MLOps, observability, CI/CD practices, and cloud native AI deployment architectures Excellent communication, stakeholder management, and problem solving skills within agile delivery environments Bonus Points For Experience building AI agent frameworks or autonomous orchestration platforms Knowledge of vector databases, semantic search, and advanced RAG architectures Experience with cloud platforms such as AWS, Azure, or GCP for AI workloads Familiarity with financial services, banking, or regulated enterprise environments Exposure to AI governance, model monitoring, and responsible AI practices Why Join Capco Deliver high impact technology solutions for Tier 1 financial institutions Work in a collaborative, flat, and entrepreneurial consulting culture Access continuous learning, training, and industry certifications Be part of a team shaping the future of digital financial services Help shape the future of digital transformation across FS & Energy Benefits Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover. Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in house first aiders. Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement. Family Care: 8 complimentary backup care sessions for emergency childcare or elder care. Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs. Continuous Learning: Your growth, your way - minimum 40 Hours of Training Annually. Take your pick; workshops, certifications, e learning. Also, Business Coach assigned from Day One: Get one on one guidance to fast track your goals and accelerate your development. Healthcare Access: Convenient online GP services. Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance. Inclusion at Capco We're committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know - we'll be happy to help. We value each person's unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our culture encourages individuality and collaboration - a mindset that shapes how we work with clients and each other every day.

Senior Backend Engineer (Java/Adobe Experience Manager) Technology alone does not create impact - the right teams do. Founded in 2018, the company is a boutique technology services and consulting firm helping global organisations solve complex business challenges through digital transformation, product development and AI enablement. We are a fast growing team of 340+ engineers and consultants across Europe (UK, Spain, Portugal), the Americas (US, Argentina, Uruguay, Colombia), and the Middle East. We combine global reach with a mindset focused on agility, senior expertise, and close collaboration. We work as an extension of our clients' teams, helping them define the right problems, shape solutions, and deliver technology driven outcomes that create measurable business value. Our expertise spans software engineering, AI & data, product development, and customer experience, delivered by teams that combine strong technical depth with a consulting mindset. Why Join Us? If you are looking for a place where you can think beyond execution, take true ownership of outcomes, influence decisions, and continuously learn alongside top tier specialists in a truly global environment, we'd love to meet you. How will you impact? At the company, we build the infrastructure that powers enterprise customer communications at scale. We're looking for a Senior Java Engineer who brings deep backend expertise, a DevOps mindset, and a passion for building reliable, high quality systems that make a real difference to customers. Your key responsibilities: Designing, implementing, and maintaining scalable customer communication solutions, with a focus on Adobe Experience Manager (AEM) and related enterprise tools Developing high quality backend services in Java (Spring Boot) Building and operating cloud infrastructure on Microsoft Azure, using Terraform for Infrastructure as Code Championing CI/CD best practices to enable seamless, confident software delivery Taking ownership of system reliability, maintainability, and performance Producing clear, thorough documentation that supports team velocity and system longevity Tech Stack Languages: Java (primary), JavaScript / TypeScript (nice to have) Frameworks: Spring Boot Cloud & Infra: Azure, Terraform Architecture: Microservices Databases: PostgreSQL (SQL), CouchDB (NoSQL) Monitoring: Splunk, New Relic, xMatters Version Control: GitHub Tooling: Zendesk, JIRA What you'll bring to the role: 6+ years of hands on experience delivering production Java applications Strong understanding of Spring Boot and microservices architecture Experience with Adobe Experience Manager (AEM) or similar enterprise content/communication platforms Proficiency with cloud platforms - Azure preferred; AWS or GCP also valued Familiarity with Terraform or other IaC tooling (or a genuine drive to get up to speed) Experience with CI/CD pipelines - e.g. GitHub Actions Solid grasp of both SQL and NoSQL databases Excellent communication skills and comfort working in an Agile (Scrum/Kanban) environment Nice to Have Experience with JVM languages beyond Java (Kotlin, Scala, Groovy) Exposure to TypeScript or Node.js for a full stack context Background in system design and distributed systems Proficiency in Python for scripting or data adjacent tooling Familiarity with LLMs, model architectures, and MCP, and experience integrating or building AI powered features Understanding of Kubernetes - container orchestration, scaling strategies, networking, and resource management Location Candidates based in UK/London: Hybrid model, 2 3 days per week in the office at Welwyn Garden City. You will receive: The chance to join an organization with triple digit growth that is changing the paradigm on how software products are built. The opportunity to be part of an amazing, multicultural community of tech experts. A highly competitive compensation package. A flexible and hybrid working environment. Medical insurance. The company is committed to fostering an inclusive workplace and providing equal employment opportunities to all applicants regardless of race, religion, gender, sexual orientation, age, disability, or any other protected characteristic under applicable law. If you require reasonable accommodations during the recruitment process, please let us know and we will work with you to support your participation. By applying to this role, you acknowledge that your personal data will be processed in accordance with the company's Privacy Notice for recruitment purposes. The company may use AI assisted tools during certain stages of the recruitment process to support operational efficiency. Our recruiting teams use AI to streamline note taking and scheduling. All hiring decisions are made by people, with human review and oversight.

Senior ML Ops Engineer Department: Platform Delivery Employment Type: Permanent - Full Time Location: London Description In this role you will work in the Platform team - a function for the deployment and evolution of the backend platform that underpins the core of the Xantura business. Key Responsibilities Continuously evolve the platform infrastructure powering all AI services (predictive modelling, NLP, knowledge representation, and agentic AI), ensuring reliable, scalable operation across a growing base of local authority clients. Deploy and manage ML models via Azure ML endpoints, batch endpoints, and AKS, enabling resilient, secure model hosting that accelerates client onboarding and ensures models remain performant and monitorable throughout their lifecycle. Ensure all ML systems are transparent, explainable, and auditable, aligned with Responsible AI principles and UK GDPR; essential where AI outputs inform decisions about vulnerable people in health and social care. Design, build, and maintain production grade orchestration pipelines (Dagster) supporting model training, inference, and retraining, ensuring data from local authority systems is timely, accurate, and fit for purpose before it reaches ML services. Contribute to organisation wide AI capability building, sharing best practice with delivery and consulting teams, advising on technical feasibility, and shaping governance standards as the AI function scales. What are we looking for? We'd love to hear from you if you have: Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience. 4+ years of professional experience in an MLOps, Platform Engineering, or Infrastructure Engineering role supporting ML or data intensive systems. Strong programming skills and production experience in Python. Expertise in Azure native MLOps, including model endpoints, pipelines, registries, environments, and compute management. Clear evidence of practical experience across the following: Deploying, scaling, and troubleshooting containerised workload on Kubernetes in production Building and maintaining CI/CD pipelines (Azure DevOps or equivalent) for automated testing, building, and deployment of ML services Implementing infrastructure as code (Terraform, Bicep or Pulumi) Implementing monitoring and observability for production systems, including metrics, alerting, logging, and dashboarding (e.g. Prometheus, Grafana) Pipeline orchestration using Dagster, Airflow, Prefect, or similar Bonus points if you have: Practical experience with model serving infrastructure - batch and/or real time inference at scale. Experience operating multi tenant systems, particularly scaling infrastructure across multiple clients or business units. Practical experience building and serving production ready, asynchronous APIs for embedding and/or other compute intensive services. Experience setting up, and optimising vector databases, e.g. Qdrant, and integrating with other services Proficiency in Python for building high performance data and model pipelines, with strong software engineering discipline (testing, versioning, CI/CD). Deep familiarity with the Azure ecosystem (Azure Kubernetes Service, Azure Container Registry, Azure DevOps, Azure Blob Storage, Azure Monitor, Azure Key Vault). Location - This is a hybrid role based in our office in London (Borough). You would be expected to be able to work from the office at least 1 2 days per week. Some travel is also required for on site client engagements as needed. What can we offer you? Competitive salary reviewed annually Work for a passionate, mission driven company solving society's big problems Work flexible hours around life commitments with a focus on delivering company value rather than hours worked Ability to work remotely (excluding face to face Team Meetings and client meetings) Training and development opportunities 25 days annual leave (plus bank holidays) Company pension Private medical insuranceGenerous enhanced parental leave policies Cycle to work scheme Flu Vaccinations Eye Test and contribution towards Glasses for VDU use Employee Assistance Programme Mental health and wellbeing support Remote GP access Counselling/therapy Physiotherapy Medical second opinions

The AI Operating System for Private Capital. Capsa AI Private capital funds have to find potential investments, research and analyse them thoroughly, monitor them over time, drive improvements, and decide when to buy and sell. They've got to see through the marketing. They've got to outbid the competition. And they've got to learn from every deal they do. Historically, these processes have run on people, we are building the AI Operating System that will run them in the future. We're focused, ambitious, and obsessed with building a category-defining company. In the last 12 months we've grown ARR 15x, achieved product-market fit with leading multi billion dollar PE firms, and expanded across the US, UK, and Europe. Now we're doubling down: we've raised a large Series A from top tier VC investors to scale the team. We're hiring hyper talented people who want to work at the forefront of AI and revolutionise an industry. At a glance Role: Senior AI Engineer Location: London, UK (Hybrid, in person 4 days per week) Team: Engineering Compensation: Top of market. Competitive base + OTE The role Take what you already know about AI systems, or about building at the frontier, into a category-defining company. A fast track to owning the infrastructure that powers decisions at the world's largest PE firms. You'll design and ship the core AI capabilities that sit at the heart of our platform, working directly alongside our founding engineers and CTO. Whether you've built production LLM systems, designed agentic architectures, or pushed the limits of RAG and reasoning chains, you bring depth most engineers don't have, and the job is to point that depth at problems the industry has never had good tooling for. This isn't a place to maintain someone else's codebase. We hire engineers who want to own things end-to-end from day one, and we give responsibility based on impact, not seniority. Strong execution is the fast track to shaping the technical direction of a high growth AI company, building alongside a founding team that will back your best ideas. The opportunity Build the agent's brain. Design and ship features that give our AI genuine investment expertise, the kind that makes analysts faster and makes partners take notice. Push the architecture forward. Prompts, reasoning chains, agent design. You own the quality and reliability of what the model produces, not just the code that runs it. Stay at the frontier. Evaluate new models, techniques, and research as they drop. When something better exists, you're the one who brings it in. Expand what the agent can see. Integrate new data sources into the loop and increase the depth and breadth of analysis the platform can perform. Keep the codebase clean. Uphold rigorous standards across everything you ship. Tech debt is a tax on velocity, and you don't let it accumulate. Recent projects include Agentic assistant with a finance-focused toolkit and advanced document authoring features Scalable document ingestion and indexing pipeline In house, streaming first agent framework AI-assisted document editor Track record Engineering depth, not just exposure. Four or more years building production software, with meaningful time spent on AI/ML systems at a venture backed startup or top tech firm -not as a side project, as the core of the work. You've shipped things that mattered. Entire features or products taken from ideation to production, with impact you can speak to. If you can't point to what changed because of your work, that's a flag. The right technical toolkit. Strong Python, hands on experience with LLMs (OpenAI, Anthropic, open source), agent frameworks, RAG pipelines, vector databases, and backend infrastructure like FastAPI, Postgres, and ElasticSearch, or close enough that the gaps close fast. Domain curiosity, not just technical ability. You go deep on the problem, not just the implementation. You care about what the product does for the person using it, and that shows in how you build. Comfortable at pace. Fast-moving environments are where you do your best work, not something you tolerate. How you operate Low ego, high ownership. You want to be part of building something that matters more than you want a title that says so. Hungry and resilient. Start up pace is the appeal, not the trade off. Rejection doesn't slow you down. Bias for action over planning theatre. You move with incomplete information and adjust as you go. Genuinely curious about AI. Using it, breaking it, building it into how you work. If this opportunity excites you We'd like to meet you. Initial conversations are direct and substantive, going deep on the work, the team, and what you'd own in the first six months. Capsa AI provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

Senior Backend Engineer (Java/Adobe Experience Manager) Who is Parser? Technology alone does not create impact- the right teams do. Founded in 2018, Parser is a boutique technology services and consulting firm helping global organisations solve complex business challenges through digital transformation, product development and AI enablement. We are a fast-growing team of 340+ engineers and consultants across Europe (UK, Spain, Portugal), the Americas (US, Argentina, Uruguay, Colombia), and the Middle East. We combine global reach with a mindset focused on agility, senior expertise, and close collaboration. We work as an extension of our clients' teams, helping them define the right problems, shape solutions, and deliver technology-driven outcomes that create measurable business value. Our expertise spans software engineering, AI & data, product development, and customer experience, delivered by teams that combine strong technical depth with a consulting mindset. Why Join Us? If you are looking for a place where you can think beyond execution, take true ownership of outcomes, influence decisions, and continuously learn alongside top-tier specialists in a truly global environment, we'd love to meet you. Howwillyouimpact? At Parser, we build the infrastructure that powers enterprise customer communications at scale. We're looking for a Senior Java Engineer who brings deep backend expertise, with a DevOps mindset, and a passion for building reliable, high-quality systems that make a real difference to customers. Yourkeyresponsibilities: Designing, implementing, and maintaining scalable customer communication solutions, with a focus on Adobe Experience Manager (AEM) and related enterprise tools Developing high-quality backend services in Java (Spring Boot) Building and operating cloud infrastructure on Microsoft Azure, using Terraform for Infrastructure as Code Championing CI/CD best practices to enable seamless, confident software delivery Taking ownership of system reliability, maintainability, and performance Producing clear, thorough documentation that supports team velocity and system longevity TechStack Languages: Java(primary),JavaScript/TypeScript(nicetohave) Frameworks: SpringBoot Cloud&Infra: Azure,Terraform Architecture: Microservices Databases: PostgreSQL(SQL),CouchDB(NoSQL) Monitoring: Splunk,NewRelic,xMatters VersionControl: GitHub Tooling: Zendesk,JIRA Whatyou'llbringtotherole: 6+yearsofhands-onexperiencedeliveringproductionJavaapplications StrongunderstandingofSpringBootandmicroservicesarchitecture ExperiencewithAdobeExperienceManager(AEM)orsimilarenterprisecontent/communicationplatforms Proficiency with cloud platforms - Azure preferred; AWS or GCP also valued FamiliaritywithTerraformorotherIaCtooling(oragenuinedrivetogetuptospeed) Experience with CI/CD pipelines - e.g. GitHub Actions SolidgraspofbothSQLandNoSQLdatabases ExcellentcommunicationskillsandcomfortworkinginanAgile(Scrum/Kanban)environment NicetoHave: ExperiencewithJVMlanguagesbeyondJava(Kotlin,Scala,Groovy) ExposuretoTypeScriptorNode.jsforafull-stackcontext Backgroundinsystemdesignanddistributedsystems ProficiencyinPythonforscriptingordata-adjacenttooling FamiliaritywithLLMs,modelarchitectures,andMCP,andexperienceintegratingorbuildingAI-poweredfeatures Understanding of Kubernetes - container orchestration, scaling strategies, networking, and resource management Location: Candidates based in UK/London: Hybrid model, 2-3 days per week in the office at Welwyn Garden City You will receive: The chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built. The opportunity to be part of an amazing, multicultural community of tech experts. A highly competitive compensation package. A flexible and hybrid working environment. Medical insurance. Parser is committed to fostering an inclusive workplace and providing equal employment opportunities to all applicants regardless of race, religion, gender, sexual orientation, age, disability, or any other protected characteristic under applicable law. If you require reasonable accommodations during the recruitment process, please let us know and we will work with you to support your participation. By applying to this role, you acknowledge that your personal data will be processed in accordance with Parser's Privacy Notice for recruitment purposes.