113 jobs found

MaPS is seeking a Principal Software Developer with deep front-end expertise to lead React/Next.js efforts, shape front-end architecture, and advance our design system and engineering standards. You will mentor senior and lead engineers, collaborate across product and design, and influence CI/CD and cloud deployment practices. The role emphasizes front-end leadership, scalable patterns, accessibility, and secure-by-design practices, with hybrid working in Bedford.

Job Reference MaPS01238 Principal Software Developer £90,000 per annum Bedford Permanent Hybrid Working Join us at the company (MaPS) as a Principal Software Engineer with deep front end expertise to lead and strengthen our React, Next.js and front end engineering capability. This is a front end led role with broader full stack awareness: you'll spend most of your time shaping front end architecture, reusable patterns, accessibility, design systems and engineering standards, while also working confidently with Azure cloud services, API integration and CI/CD. You'll lead the React / Front End Community of Practice, mentor senior and lead engineers, and support teams where your expertise is most needed. This could include leading key initiatives, embedding with teams to solve complex engineering challenges, guiding the evolution of our design system and component library, or helping teams make pragmatic decisions across the front end and integration layer. Key Responsibilities Provide hands on technical leadership across multiple teams, embedding where needed to solve complex front end engineering challenges, reduce technical risk, establish reusable patterns and align implementation with wider technology strategy. Define and evolve front end architecture, frameworks, standards and engineering practices, particularly across React, Next.js and the front end platform, ensuring approaches are scalable, maintainable and aligned with organisational goals. Drive the technical implementation for the design system and component library, collaborating with product, design and engineering to support adoption, technical governance, reuse and a consistent user experience. Establish and promote front end engineering quality standards, including testing, accessibility, secure by design practices, code review, documentation, observability and maintainability. Partner with the Software Engineering Manager, architects and technical leads to identify and mitigate technical risks, dependencies and architectural constraints that may affect delivery predictability. Collaborate with DevOps, platform and architecture teams to define effective front end deployment, CI/CD, hosting and integration patterns, including technologies such as Netlify and Azure. Support teams in embedding relevant standards, including accessibility, GDS Service Manual expectations, security and compliance requirements, through tooling, guidance, coaching and reusable implementation patterns. Lead the front end/JavaScript community of practice, facilitating collaboration, sharing best practice, aligning standards and supporting adoption across teams. Mentor senior and lead engineers, providing technical coaching and mentoring to senior and lead engineers, helping improve engineering judgement, technical decision making and consistency of implementation across teams. Drive high quality technical documentation, knowledge sharing and decision recording practices to improve consistency, reuse and long term maintainability. Advise on emerging industry trends, tools and practices, including responsible use of AI assisted development, identifying where adoption would provide meaningful value while maintaining appropriate engineering standards. Lead or facilitate technical discussions with internal stakeholders and external delivery partners, ensuring front end technical decisions are coherent, sustainable and aligned with agreed architecture and engineering standards. Essential Skills and Experience Significant experience operating at principal, staff, lead or equivalent level, providing technical leadership across multiple teams or services, not only within a single delivery team. Expert knowledge of modern front end engineering, with deep experience of JavaScript, TypeScript, React and Next.js in production scale environments. Demonstrable experience defining front end architecture, engineering standards, reusable patterns and technical strategy that have been adopted across teams or products. Experience leading technical decision making for complex front end platforms, including trade off analysis, risk management, maintainability, scalability and long term operability. Strong experience designing, building or governing shared front end platforms, component libraries, design systems or reusable engineering tooling. Experience improving engineering quality across teams, including testing strategy, accessibility, secure by design practices, code review, documentation, observability and maintainability. Strong understanding of front end performance, user experience and Core Web Vitals, with experience identifying and addressing performance issues in complex applications. Strong experience with accessibility, semantic HTML, ARIA and inclusive design implementation, with the ability to coach teams on practical adoption. Experience working with CI/CD pipelines and modern delivery practices, such as GitHub Actions or Azure DevOps Pipelines, and influencing deployment patterns for front end applications. Experience collaborating with architecture, platform, DevOps, product, design, testing and delivery colleagues to shape technical direction and improve delivery outcomes. Strong understanding of API integration patterns, including REST APIs and GraphQL, and the implications of these patterns for front end architecture and user experience. Awareness of secure by design principles, OWASP guidance and software quality tooling such as SonarCloud, with the ability to embed these expectations into front end ways of working. Experience mentoring senior and lead engineers, improving technical leadership capability and supporting consistent technical decision making across an engineering community. Demonstrable commitment to robust, maintainable and sustainable engineering practices, including clear documentation, technical decision records and knowledge sharing. Ability to lead or facilitate technical discussions with senior stakeholders, internal teams and external delivery partners, translating complex technical issues into clear recommendations. Experience with Azure services, or equivalent AWS/GCP services, relevant to modern web application delivery, such as Azure Functions, App Services, Entra ID, Cosmos DB, API Management, Redis or App Configuration. Desirable Skills Experience leading or significantly contributing to a front end, JavaScript, React or engineering community of practice. Experience with Netlify, including deployment configuration, serverless functions, edge capabilities or blob storage. Experience with Node.js in the context of front end platforms, API integration, tooling, build pipelines or server side rendering. Experience with non relational databases such as Cosmos DB or MongoDB, particularly where relevant to full stack or integration patterns. Experience with monorepo architecture and tooling such as Nx, Turborepo or similar approaches for managing shared front end codebases. Experience with design system tooling and workflows, such as Storybook, visual regression testing, component documentation and design to development governance. Experience implementing or integrating with Content Management Systems, such as Wagtail and headless CMS approaches. Experience with monitoring and observability tools such as Azure Monitor, Log Analytics Workspace or equivalent platforms. Experience with tag management, analytics and experimentation implementations, such as Google Tag Manager, Google Analytics or Adobe tooling. Experience with CSS architecture at scale, including mobile first responsive design, design tokens and frameworks such as Tailwind. Experience with other programming languages such as C#, Python or similar, particularly where this supports collaboration across full stack or platform teams. Experience evaluating or guiding responsible use of AI assisted development tools while maintaining appropriate engineering quality, security and governance standards. Line management experience, or experience supporting engineer development through mentoring, coaching, pairing, technical feedback and contribution to engineering career frameworks. Benefits Generous Annual Leave - 30 days plus Bank Holidays Pension scheme - contributions matched 2 to 1 (employer contribution up to 10% of your salary) Interest free loan for season tickets for buses and trains Cycle to work Scheme Subsidised eye tests & flu jabs Life assurance scheme Give as you earn scheme Employee assistance programme (EAP) PAM Assist and PAM Life scheme (Wellbeing) Enhanced family and sick pay Paid volunteering (2 days a year) Recognition Scheme Discounts portal to numerous retailers Hybrid Working We take pride in our flexible approach to work. As standard, we work on a hybrid basis with a minimum of 2 days in the office per month. Hybrid working is a voluntary, non contractual arrangement and our headquarters in Bedford will be your contractual place of work.

Valcon is a north-western European consulting, technology and data company based in the UK, the Netherlands, Denmark, Sweden, and Croatia. We are seeking a SeniorSpecialist/ Principal Agentic AI Engineer to design, build and deploy intelligent AI agents, copilots and agentic solutions that deliver measurable business outcomes for our clients. This is a hands on engineering role focused on developing production ready agentic solutions using Microsoft AI technologies, Databricks AI capabilities and modern software engineering practices. The successful candidate will combine strong technical skills with expertise in AI agents, orchestration frameworks, enterprise integrations and intelligent automation. The role offers flexibility for candidates from software engineering, AI engineering, agent development, low code or automation backgrounds. We are looking for engineers who are passionate about building practical AI solutions that automate work, augment decision making and transform business processes through intelligent agents. Working alongside architects, consultants and delivery teams, you will contribute to technical design, build scalable and secure solutions, and create reusable assets, frameworks and accelerators that strengthen our Agentic AI capability. Key Responsibilities Design, develop and deploy AI agents, copilots and intelligent automation solutions that deliver measurable business value. Build solutions using Microsoft AI technologies including Copilot Studio, Azure AI Foundry, Azure OpenAI and Microsoft Fabric. Develop intelligent agents using Databricks AI capabilities including Mosaic AI and modern agent development frameworks. Design and implement agent workflows, orchestration patterns and autonomous business processes. Build agents that integrate with enterprise systems, business applications, APIs, data sources and knowledge repositories. Develop retrieval, memory, context management and reasoning capabilities to improve agent effectiveness and user outcomes. Collaborate with Solution Architects and Technical Leads to contribute to solution design and technical decision making. Support discovery workshops, technical design sessions and solution shaping activities where required. Build reusable agent components, skills, frameworks and accelerators that improve delivery quality and speed. Perform testing, evaluation, optimisation and continuous improvement of AI solutions and agent performance. Ensure solutions are secure, scalable, maintainable and aligned to engineering best practices. Contribute to capability development, knowledge sharing and the adoption of emerging agentic technologies. Experience Experience designing, developing and deploying AI powered solutions, intelligent automation platforms, copilots or agentic applications. Experience with one or more modern AI and agentic platforms, including: Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI, Microsoft Fabric, AI Databricks, Mosaic AI, Databricks Agent Framework, Modern agent orchestration frameworks. Experience integrating solutions with APIs, enterprise systems, business platforms and knowledge sources. Strong understanding of modern software engineering practices and the software development lifecycle. Experience working within Agile delivery environments. Strong analytical, problem solving and troubleshooting skills. Excellent communication and stakeholder engagement skills. Strong software engineering experience using Python, TypeScript, C# or similar modern programming languages. Experience designing and developing AI agents and agentic applications using frameworks such as Semantic Kernel, LangGraph, CrewAI or AutoGen. Hands on experience with Azure AI Foundry, Azure OpenAI or Databricks Mosaic AI to build enterprise AI solutions. Experience developing cloud native applications, APIs and integrating enterprise systems. Knowledge of Retrieval Augmented Generation (RAG), vector search, memory management and AI reasoning techniques. Experience with Microsoft Copilot Studio, Power Platform and Power Automate to deliver intelligent business automation. Strong understanding of Git, CI/CD, DevOps and modern software engineering best practices, including testing, code reviews and quality assurance. Experience designing multi agent architectures, orchestration patterns and workflow automation for complex business processes. Knowledge of AI governance, Responsible AI, security, observability and monitoring within enterprise environments. Excellent problem solving, collaboration and communication skills, with a passion for delivering practical AI solutions that create measurable business value.

Principal Software EngineerPostulerlocations: Remote - UK: Office - Altrincham: Remote - Londontime type: Temps pleinposted on: Publié aujourd'huijob requisition id: R Xanalys, a Harris Computer company , is currently recruiting for a Principal Software Engineer on a permanent, remote-working basis. This role sits in a small, high-trust business unit supporting a cross-functional, cross-product platform portfolio: legacy and greenfield applications, developer tooling, internal dashboards, and company-wide tools. This is a senior individual contributor role with technical leadership influence (no direct reports), working closely with the Platform Team Lead and Director of R&D. Top Priorities AI workflow usage and implementation are a key part of this role: use AI tooling heavily and daily, and design/ship agentic workflows that improve team delivery. Maintain a quality and testing-first engineering approach: automated unit, integration, end-to-end, and acceptance testing are core to delivery. Own SRE and DevOps outcomes as a top priority: reliability, observability, operability, CI/CD health, and continuous improvement are part of day-to-day ownership. Scope of the Role Work profile: approximately 80% hands-on engineering, 20% planning, triage, review, retros, and technical leadership activities. Ownership: own modules and features end-to-end (design, build, test, release, production support), not entire enterprise products. Landscape influence: understand the broader enterprise landscape, form strong technical opinions, and drive change across products. Stewardship: adopt and stabilise orphaned modules, then bring them up to current standards. Core Responsibilities Use AI tooling heavily and daily: Copilot, Claude, and agentic workflows, including creation of skills, agents, rules, plugins, instructions, and prompt patterns. Champion and train others (technical and non-technical) in collaborative AI tooling and workflow agentification. Ensure outward communication is human-curated, concise, and thoughtful; never publish unedited AI output. Maintain a quality and testing-first approach with automated unit, integration, end-to-end, and acceptance testing. Deliver and improve complex enterprise systems spanning hybrid monoliths and standalone modules. Build, scale, and optimise solutions across .NET, SQL Server, Azure, Terraform, Docker, PowerShell, bash, XML, and XSL. Own CI and CD through Azure DevOps pipelines, including quality gates and deployment automation. Run structured release management using established CD systems, disciplined tagging/versioning, and Jira release management. Integrate and support third-party components, packages, and integrations. Follow established patterns and practices, and introduce better ones where justified. Required Experience and Attributes Significant hands-on engineering experience with deep .NET and SQL Server capability. Comprehensive scripting capability in PowerShell and bash for build, deployment, operations, and troubleshooting. Proven CI/CD and release management capability (including tagging/versioning and Jira release practices). Strong ownership mindset, proactive communication, and high personal organisation. Demonstrated ability to mentor others and raise technical standards through influence. Confidence working directly with customer technical teams in regulated settings. Ability and willingness to obtain Security Clearance Nice to Have Experience scaling and optimising legacy systems. About Us Xanalys specialise in providing powerful software capabilities for threat assessment, investigative case management, and advanced crime and fraud analytics. Our solutions help our clients to manage multi-jurisdiction major crime investigations, assess and analyse suspicious financial transactions, capture and act upon intelligence reports, and disclose evidence in a court-ready format to ensure successful outcomes. Benefits Harris offers an extremely competitive UK employee benefits programme. 5 Personal Days leave entitlement are granted over and above the standard 25 days holiday and bank holidays. Harris also offers all UK employees an annual Lifestyle Reward of £325. Other benefits included such as Private Medical, Death in Service, Discounts etc. Supporting Your Application Our recruitment process will comprise of an interview with the lead recruiter followed by a take home test. As an equal opportunities employer, we want to make sure we do all we can to make this a positive experience for you. When applying, please make us aware of any adjustments or additional support we can provide you with before or on the day of an interview

Job Description: You will define and lead the technical strategy for a private cloud platform based on OpenStack, delivering scalable and reliable infrastructure services for engineering teams. The platform underpins large-scale engineering workloads and is central to the organisation's infrastructure strategy. The platform is to be built using modern platform engineering principles, with strong emphasis on automation, APIs, and developer experience. You will operate across teams and functions to drive architectural direction and platform evolution-the remit of the team is to develop the capabilities of the platform as an active participant within the OpenStack community rather than simply consuming and running upstream projects. Responsibilities: Define and design the long term architecture and strategy for multi tenant Private Cloud. Lead the integration of OpenStack across compute, networking and storage systems. Develop standards for Infrastructure as Code (Terraform), APIs and automation. Drive reliability, scalability and performance improvements across all platform components. Provide technical leadership in collaboration with multiple teams and domains. Guide platform engineering practices including CI/CD, telemetry and observability. Solve complex cross system challenges in distributed environments and HPC. Champion and enable seamless adoption of the new platform. Partner with the Internal Developer Platform teams to ensure a first class self service experience. Identify and improve workflow friction across multi disciplinary teams. Collaborate with the OSS community to drive upstream feature adoption. Required Skills and Experience: Deep expertise in the OpenStack ecosystem, Linux and distributed systems. Strong software engineering background (Python, APIs, systems design). Extensive experience with Ansible, Terraform and infrastructure automation. Experience with large scale or multi region systems and operating at significant scale. Deep understanding of networking, storage and Linux systems both physical and software defined. Proven track record in influencing technical direction across teams. Nice To Have Skills and Experience: Experience with Kubernetes and cloud native platforms. Low level debugging, performance and tuning engineering. Full stack expertise. Exposure to IDPs such as backstage, Roadie, etc. In Return: You will shape the direction of a critical engineering platform. You will influence organisation wide technical decisions. We provide an environment focused on impact, innovation and teamwork. Accommodations at Arm: If you need accommodation during the recruitment process, email . All requests will be handled confidentially. Equal Opportunities at Arm: Arm is an equal opportunity employer committed to a diverse and inclusive workplace. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. Hybrid Working at Arm: Arm's hybrid approach centers on flexibility. Your hybrid working pattern will be determined by you and your team; details will be shared upon application.

At Anaplan, we are a team of innovators focused on optimizing business decision making through our leading AI infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best in class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebratingour wins - big and small. Supported by operating principles of being strategy led, values based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together! Team Description As part of the ADO team under GPTO Engineering, you'll report to the Sr. Director of Engineering. This team is accountable for Performance test automation, configuration, and verification delivering repeatable performance comparison testing and diagnosis across a range of ADO operations at enterprise scale, enabling high performance AI driven workloads, and acting as a technical bridge between engineering and architecture. Your Impact Build, mentor, and scale a high performing engineering team based on actual demand and delivery needs Provide hands on coaching and guidance to Principal Engineers and team members, fostering technical excellence and career growth Quickly establish trust with team members, peers, and stakeholders through authentic engagement and delivery Champion an engineering culture that balances pragmatic delivery with sustainable practices Delivery Excellence Drive fast paced, continuous delivery practices-leading the transformation from monthly to daily release cycles Balance process rigor with delivery velocity; know when documentation adds value and when it creates friction Apply and evangelize proper use of DORA metrics to measure and improve team performance Ensure platform capabilities for data processing, AI, and developer acceleration ship reliably and on schedule Take ownership of delivery outcomes; work proactively with Product Management without waiting for perfect requirements Technical Strategy & Collaboration Partner closely with architects to align implementation patterns with long term technical direction Create clear, compelling strategy papers, roadmaps, and presentations for technical and executive audiences Collaborate across globally distributed teams with awareness of time zone considerations and asynchronous work patterns Guide teams in embedding AI/ML features-prompt engineering, model inference, feature pipelines-into platform services Contribute to technical planning, architecture decisions, and incident retrospectives Platform & Product Mindset Apply product thinking to platform solutions, ensuring they meet real business and customer needs Champion innovation in performance, tooling, and platform capabilities Oversee design and delivery of full stack solutions spanning React, Java, and Python Facilitate cross functional collaboration across engineering, product, and architecture Your Qualifications Leadership & Management 10+ years of software engineering experience with 5+ years in engineering management or technical leadership Proven track record managing teams through significant process transformations (e.g., monthly to daily releases) Experience managing both technical leads/Principal Engineers and individual contributors Demonstrated ability to scale teams thoughtfully based on demand, not politics Technical Depth Strong software development background with hands on experience in platform, infrastructure, or data centric environments Deep expertise in event driven architectures, streaming technologies (e.g. Apache Kafka, Flink, and/or Pulsar) Proficiency across full stack technologies (Java, .Net, React) with the ability to guide technical decisions Knowledge of hybrid/cloud agnostic infrastructure, CI/CD, GitOps, and continuous delivery workflows Delivery & Process Pragmatic approach to balancing process, documentation, and speed of delivery Deep understanding of DORA metrics and their proper application to drive improvement Experience leading high velocity engineering organizations with a daily release cadence Skilled at change management and cultural transformation in engineering teams Exceptional communication skills-written and verbal-with the ability to influence across all levels Experienced creating executive level strategy documents, roadmaps, and presentations Comfortable working with globally distributed teams across multiple time zones Strong collaborative partnership with Product Management; proactive problem solving mindset Preferred Skills Track record of building trust rapidly in new environments Passion for technical mentorship and elevating team capabilities Experience scaling systems and teams under high throughput demands Ability to navigate ambiguity and drive delivery without perfect information Comfort with asynchronous collaboration and remote team dynamics Experience in hybrid engineering management roles (player coach background) Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person. Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication. All emails from Anaplan would come from email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to before taking any further action in relation to the correspondence.

Principal Technology Architect - LLMs, agentic coding systems, intelligent IDEs, AI Role Senior Forward Deployed Engineer (AI Native) - Principal Technology Architect Location: London Compensation: Competitive (including bonus) Responsibilities Serve as principal engineering lead for complex, multi region AI programs; define solution strategy, roadmap, and measurable outcomes. Lead workshops and discoveries focused on AI enabled engineering (LLMs, agents, RAG, prompt ops, model ops). Architect AI integrations across APIs, pipelines, cloud services, and enterprise toolchains; enforce reliability, safety, and cost discipline. Operationalize agentic engineering (task decomposition, tools, memory, planning) for accelerated delivery. Build and mentor high performing teams; cultivate experimentation, reusable assets/accelerators, and continuous learning. Govern delivery (scope, risk, quality), communicate crisply with executives and technical stakeholders, and course correct proactively. Required Technology 15+ years of progressive software engineering; 5+ years leading AI native solutions at enterprise scale. Hands on with LLMs and agentic frameworks; design and deploy AI systems that augment SDLC (requirements coding testing ops). Tooling & Platforms (practitioner proficiency) Claude Code (Anthropic) for secure, context rich code assistance; use with projects, tool use, code planning. Google Gemini (Nano/Pro/1.5) for multimodal reasoning; integrate via Vertex AI; grounding, structured output, function calling. Azure OpenAI / GPT 4.x for enterprise LLM services; model selection, limits, rate management, content filters/AI safety. Amazon Q for developer and ops assistance across AWS stacks. Cursor, GitHub Copilot, Devin for IDE native agentic coding; policies for context windows, secrets hygiene, and traceability. NotebookLM/Gemini for research workflows where permitted; govern enterprise knowledge ingestion. Architecture & Integration Distributed systems, microservices, cloud native (Azure/AWS/GCP); secure API design (REST/GraphQL). MLOps & AIOps: CI/CD for AI, model lifecycle (eval, versioning, rollout/rollback), guardrails, telemetry, drift monitoring, prompt safety. DevSec & Responsible AI: Privacy by design, PII handling, secrets management, policy enforcement, human in the loop approvals, auditability. Languages: Advanced Python plus one of Java/TypeScript/Go; containerization (Docker/K8s). Leadership & Communication Executive presence: influence C suite decisions with crisp, data backed narratives. Lead distributed teams across geographies/time zones; resolve conflicts and drive outcomes. Pre sales/solutioning for AI transformation; quantify value (cycle time, defect rate, throughput, cost to serve). Preferred Delivery leadership for Fortune 500 AI programs; published thought leadership or patents. Proven track in building accelerators (prompt libraries, agent frameworks, governance kits), and running bake offs/benchmarks across LLMs. Experience establishing enterprise AI enablement: policy, templates, blueprints, playbooks, COPs. Personal High analytical skills A high degree of initiative and flexibility High customer orientation High quality awareness Excellent verbal and written communication skills Equal Opportunity Employment All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer

At the heart of Paxton, we are innovators, we look for ways of harnessing new technology to provide better solutions for our customers. We're a global brand with nearly 40 years of experience, our team of over 400 employees is spread around the world. We pride ourselves on creating a vibrant environment, with a focus on excellent company culture. Our teams make Paxton a great place to work with brilliant benefits that come with any role at Paxton, with an emphasis on career progression, training and development, and recognition of achievement for every employee. So, what are the benefits? We run a great social calendar with wine tasting, cooking classes, onsite yoga, staff parties and more. It's rare you won't see something going on! Tech, bike, and travel or season ticket loans. Private medical insurance (Opt in) and healthcare cash-back plan. Discounted fitness memberships up to 75% off in your area. Hybrid working - Tuesdays and Thursdays from home 25-days holiday plus bank holidays, and you can buy & sell up to 5 days a year. Recognised as one of the Best Companies to Work for in the UK, by Best Companies . About the role We are looking for a Senior Software Engineer to join our team based in our Brighton office, with a strong background in building scalable, high-quality, and high-performance software solutions. This is a hands on role where you will be responsible for designing, building, and maintaining software that is critical to our flagship access control products. You will also be responsible for mentoring and coaching team members. You will design solutions for new features and bug fixes according to project requirements and specifications You will provide leadership for project requirements, planning and reporting Collaborate with the Principal Engineer, Apps and Cloud teams Ensure the technical integrity of user interfaces, back end API services, mobile apps, and cloud services, using test driven design methodologies and best practice Identify problems or risks early on in the development cycle to help the team avoid or mitigate these risks to ensure efficient delivery of work to be completed You will be able to help provide input and suggestions to other team member's designs or take part int the decision making process to ensure progress on tasks and deliverables You will play an active part in reviewing your own and other people's code throughout the development process to help the team ensure good coding practices as we deliver our work Review and provide feedback on requirements, specifications and designs to assure product quality Actively contribute towards decision on overall architecture and technologies used in our software products What are we looking for? A bachelor's degree in computer science or a related field is required. Proven industry experience may be accepted as a substitute. Solid Experience in back end development, especially in C# .NET and experience with front end technologies such as HTML, CSS, Angular or React would be advantageous Strong Experience with .NET Web API Solid Experience working with Databases Knowledge or experience with Azure cloud services would be advantageous but is not essential An excellent team player who enjoys collaborating with other developers on your team The right attitude is more important to us than your skills or experience. If you're excited about a role but your existing experience doesn't match up with every element of the job description, we encourage you to apply anyway. We want to collaborate with you and hear your ideas, most of all, we want people to enjoy the journey with us. Take a look at what our team thinks of working here

Overview Architect and lead the implementation of multi-agent systems using Google AI SDKs (Vertex AI Agent Builder), LangGraph, CrewAI, and other emerging orchestration frameworks. Design and build stateful, tool-augmented agents capable of advanced reasoning, long-term planning, and autonomous execution. Develop and document agent orchestration patterns including planner-executor, supervisor-worker, and hierarchical agent structures. Implement sophisticated memory systems (short-term, long-term, and cross-session contextual memory). Enable seamless cross-agent communication and multi-modal coordination. Lead the delivery of production-grade LLM applications: RAG pipelines, specialised agents, and developer copilots. Integrate diverse tools, enterprise APIs, and legacy systems into agentic workflows. Design robust system prompts, dynamic routing logic, and AI guardrails using Vertex AI Model Garden or Azure AI Studio. Drive optimisation of AI workflows for latency, token cost, and output quality. Develop and own reusable AI microservices, agent frameworks, and standardised APIs. Contribute to core AI platform capabilities including model routing, centralised observability, and safety filters. Define and enforce engineering standards and best practices for AI development across the team. Deploy and manage agent-based systems on GCP, Azure, and/or AWS using Docker, Kubernetes (GKE/AKS/EKS), and Cloud Run. Implement comprehensive monitoring and observability using Vertex AI Inspector, LangSmith, or Azure Monitor. Drive incident response and post-mortems for production AI system failures. Act as a technical lead on key AI engineering workstreams, shaping architecture and approach. Mentor and support more junior AI engineers through code review, design discussions, and pair programming. Collaborate with Principal AI Engineer and cross-functional teams (data, product, delivery) to align AI engineering with business outcomes. Stay at the forefront of the rapidly evolving agentic AI landscape and bring new approaches into the team. Requirements 5-8 years of software engineering experience with at least 3 years focused on LLM-based or AI systems in production. Proven track record building and shipping RAG pipelines, autonomous agents, and multi-step reasoning chains. Strong hands-on experience with Google AI SDKs, Vertex AI, and/or Azure AI services. Deep proficiency in orchestration stacks: LangGraph, CrewAI, LlamaIndex, Haystack, or comparable frameworks. Expert-level Python; strong backend development skills (FastAPI, Go, or Node.js). Deep understanding of agent design patterns: planning, reflection, memory, and tool-use. Experience integrating complex enterprise APIs and event-driven systems into agentic workflows. Proven ability to trace, debug, and improve non-deterministic, multi-step AI reasoning pipelines. Strong instinct for building resilient, observable, and production-ready AI systems. Strong familiarity with GCP and/or Azure core services: GKE, Cloud Run, Azure AI services. Infrastructure as Code: Terraform or Pulumi. CI/CD: experience building automated evaluation and deployment pipelines for AI models. ATS Optimization Keywords Hard Skills Python FastAPI Go Node.js Google AI SDKs Vertex AI Azure AI services LangGraph CrewAI RAG pipelines Soft Skills leadership mentoring collaboration problem-solving communication design discussions code review incident response optimisation best practices

• Architect and lead the implementation of multi-agent systems using Google AI SDKs (Vertex AI Agent Builder), LangGraph, CrewAI, and other emerging orchestration frameworks. • Design and build stateful, tool-augmented agents capable of advanced reasoning, long-term planning, and autonomous execution. • Develop and document agent orchestration patterns including planner-executor, supervisor-worker, and hierarchical agent structures. • Implement sophisticated memory systems (short-term, long-term, and cross-session contextual memory). • Enable seamless cross-agent communication and multi-modal coordination. • Lead the delivery of production-grade LLM applications: RAG pipelines, specialised agents, and developer copilots. • Integrate diverse tools, enterprise APIs, and legacy systems into agentic workflows. • Design robust system prompts, dynamic routing logic, and AI guardrails using Vertex AI Model Garden or Azure AI Studio. • Drive optimisation of AI workflows for latency, token cost, and output quality. • Develop and own reusable AI microservices, agent frameworks, and standardised APIs. • Contribute to core AI platform capabilities including model routing, centralised observability, and safety filters. • Define and enforce engineering standards and best practices for AI development across the team. • Deploy and manage agent-based systems on GCP, Azure, and/or AWS using Docker, Kubernetes (GKE/AKS/EKS), and Cloud Run. • Implement comprehensive monitoring and observability using Vertex AI Inspector, LangSmith, or Azure Monitor. • Drive incident response and post-mortems for production AI system failures. • Act as a technical lead on key AI engineering workstreams, shaping architecture and approach. • Mentor and support more junior AI engineers through code review, design discussions, and pair programming. • Collaborate with Principal AI Engineer and cross-functional teams (data, product, delivery) to align AI engineering with business outcomes. • Stay at the forefront of the rapidly evolving agentic AI landscape and bring new approaches into the team. Requirements 5-8 years of software engineering experience with at least 3 years focused on LLM-based or AI systems in production. Proven track record building and shipping RAG pipelines, autonomous agents, and multi-step reasoning chains. Strong hands-on experience with Google AI SDKs, Vertex AI, and/or Azure AI services. Deep proficiency in orchestration stacks: LangGraph, CrewAI, LlamaIndex, Haystack, or comparable frameworks. Expert-level Python; strong backend development skills (FastAPI, Go, or Node.js). Deep understanding of agent design patterns: planning, reflection, memory, and tool-use. Experience integrating complex enterprise APIs and event-driven systems into agentic workflows. Proven ability to trace, debug, and improve non-deterministic, multi-step AI reasoning pipelines. Strong instinct for building resilient, observable, and production-ready AI systems. Strong familiarity with GCP and/or Azure core services: GKE, Cloud Run, Azure AI services. Infrastructure as Code: Terraform or Pulumi. CI/CD: experience building automated evaluation and deployment pipelines for AI models. ATS Optimization Keywords Below are skills and terms extracted directly from this job posting to improve Applicant Tracking System (ATS) visibility. This unique feature helps candidates tailor their applications more effectively - a feature exclusive to JobTailor job listings. Hard Skills Python FastAPI Go Node.js Google AI SDKs Vertex AI Azure AI services LangGraph CrewAI RAG pipelines Soft Skills leadership mentoring collaboration problem-solving communication design discussions code review incident response optimisation best practices

Job Description Summary The energy transition drives an unprecedented growth in demand for and generation of electricity. To accommodate this growth, the capacity of transmission system is projected to grow three-fold. High voltage direct current (HVDC) transmission systems will play a key role in connecting remote and offshore renewables, interconnecting energy markets and reinforcing AC grids. Converter stations are required to convert AC to DC and vice versa. The brain of such converter stations are the control and protection systems which, among other things, ensure efficient, safe, and reliable operation of the power electronic valves and peripheral equipment. GE Vernova's Grid Systems Integration business line offers control and protection solutions for both voltage sourced converter (VSC) as well as line commutated converter (LCC) HVDC valve technologies to meet the transmission planning needs of utilities, system operators, developers and industrial clients worldwide. The control & protection algorithms are key to enabling the HVDC transmission systems' functionality, capabilities and performance. GE Vernova's HVDC team require Principal Engineers who act as technical consultants, ensuring customer confidence, reviewing and enhancing design practices, acting as a gate keeper for technical reviews, applying lessons learned, leading complex, state-of-the-art technology improvements, engaging with quality reviews and cost optimization exercises both within their specialist domain and across other domains. Job Description Key Responsibilities Serve as a recognized technical authority in HVDC Control & Protection algorithms solutions both internally and externally, and act as technical advisor to Senior leadership levels and support to Consulting Engineers. Actively contribute to and drive both internal and external standardisation, coordinate working group activities and proactively represent GE Vernova in IEC/CIGRE and similar professional bodies, task forces and industry committees Stay abreast of, collect and internally communicate state-of-the-art technology developments in HVDC control & protection algorithms and applications Support Internal Stakeholders and Consulting Engineer to develop and maintain a strategic HVDC Control & Protection Algorithms technology roadmap. Suggest areas for technological advancement and recommend approaches/programs to pursue Participate Patent Evaluation Board (PEB) to protect technology that gives the business a competitive advantage, as well as protecting the intellectual property rights of the company. Oversee various R&D programmes from conception through to industrialisation, integrating new technology smoothly into production and ensuring successful project delivery Chair and act as technical authority in technology and product development gate reviews Collaborate and promote technology synergies across GE Vernova businesses of Power Conversion Systems, Grid Automation and Power Technology, utilizing shared expertise and resources. Lead/support project teams addressing identified project challenges in focused technical areas Support project technical tendering and delivery in the introduction of new solutions Support the quality teams on major quality issues and act as technical authority in root cause analysis processes Act as technical authority in competence management Act as a knowledge ambassador, providing technical education to external universities Consult with and support the Chief Engineer's Office in executing the office's technical objectives to implement best practice technologies and methods. Provide technical consultation on product problems throughout the business including supplier and field support and perform technical rescues when needed. Actively mentor and coach identified high potential Engineering talents within one's business lines. Chair Design reviews for individual components, sub-assemblies and key engineering deliverables at tendering and contract execution stages. Support Consulting Engineers in governance and trainings to reinforce proper execution of design review guidelines. Qualifications/Requirements The position requires a deep technical understanding of the technologies and design techniques required to develop, manufacture and maintain, high availability, real time, flexible control systems. The successful candidate will deeply understand the intricacies of communication and computing platform technologies and techniques, and how to translate this into an effective value proposition to GE Vernova's customers. This requires a strong foundation in both research and development and project engineering, having demonstrated significant technical depth and recognition as a domain expert across large scale, high reliability, high performance real time control systems, and able to apply state-of-the-art technology to resolve complex technical challenges. Degree or higher education equivalent in a topic related to the development of control solutions, ideally with an application focus to power electronic systems Proven experience in an engineering capacity Excellent overall technical understanding of VSC and LCC-HVDC with deep understanding of the topics identified below: Control algorithm principles and high-level control system functional definition Control algorithm implementation Control software architecture Harmonic stability Interaction studies Multi-terminal system control Grid forming control Multi-vendor control interoperability Control system performance verification & validation Overview of standardization initiatives for HVDC control algorithms in international bodies such as IEEE, IEC and CIGRE Understanding of typical relevant regulatory frameworks, grid codes and standards Familiarity with patent evaluation, application and management Open to business travel Desired Characteristics Strong oral and written communication skills Strong interpersonal and leadership skills Leadership to pursue correct engineering process in adverse conditions Able to interface and communicate effectively with all levels of the organization Considered an industry expert and thought leader in the HVDC control & protection algorithms discipline Additional Information Relocation Assistance Provided: No

Requisition ID11217-Posted - Years of Experience (1) -Consulting- Where (1) SolidsoftReply is the Reply Group companyspecialisedin developing digital healthcare solutions for patient safety and closed-loop medicine management. We partner with Healthcare and Industry, helping our customers succeed through ourexpertisein designing and implementing innovative solutions, and through our continued commitment and investment in Microsoft technologies and the Microsoft Azure cloud platform. We are a published thought leader and deliver software and services via our team of highly skilled and competent people. Role Overview As a Principal DevOps Engineer, you will join a successful Microsoft Gold Partner and accredited Microsoft Expert Managed Service Provider (MSP) within a multidisciplinary development team. You will lead the DevOps team, taking responsibility for defining and implementing the most suitable tools, infrastructure, and build and release processes to support development activities. Working closely with developers, project managers, and Operations, you will drive best practice techniques in Azure to ensure successful delivery of new functionality into production while maintaining effective cost control. You will also identify process improvements, ensure compliance with security and regulatory requirements, manage certificate lifecycles, resolve infrastructure-related issues, and mentor junior DevOps team members. Responsibilities Lead and take full ownership of ADO administration, including repository creation, management, and ongoing maintenance Own and manage build and release processes across both test and live environments Create and maintain ARM templates and YAML scripts to support deployment activities Define and manage lifecycle processes, including release and branching strategies Maintain full ownership of build and release definitions, runbooks, risk analysis, and supporting documentation for integration and production environments Administer Azure services, including VMs, App Services, networking, storage, monitoring, and security components Perform PowerShell scripting for Azure resource administration and automation Manage SQL and Active Directory environments, including users, roles, permissions, policies, and certificate security About the Candidate Minimum of a Bachelor's degree in a related field Minimum 5 years of experience in a DevOps role Strong expertise in Azure services and infrastructure configuration Expert-level experience in ADO administration, including repositories, build and release processes, and lifecycle management Proficiency in PowerShell scripting for Azure resource administration Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skincolour, marital status or parental status or any other characteristic protected by the Law. Reply is committed to making sure that our selection methods are fair to everyone. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need.

We are seeking a skilled Software Engineer who will design, build, and maintain software systems that deliver business value. In this role, you will focus on code quality, architecture decisions, and reliable delivery while leveraging AI tools to enhance productivity. You will verify and review AI-generated code to ensure it meets our quality standards. You will bridge the gap between building products and solving real business problems through rapid solution delivery and deep domain expertise. As part of the discovery to scale pipeline, you will identify recurring patterns and lead validated solutions generalization into enterprise capabilities. This role encompasses organization wide technical strategy and architectural direction. You will define strategic direction, be accountable for outcomes, shape organizational practices, and maintain external industry visibility. You will handle organizational scale complexity, creating clarity from chaos. ROLE RESPONSIBILITIES DELIVERY Application Deployment: Shape deployment strategy across the business unit, drive platform adoption, establish deployment best practices at scale, and demonstrate deployment architecture expertise. Data Integration: Define data integration patterns and best practices, architect large scale data flows, solve complex integration challenges, and act as the authority on enterprise data integration. Full Stack Development: Work comfortably in any language, rapidly acquire new skills, deliver production solutions in days, shape full stack practices, and exemplify polymathic engineering. Problem Discovery: Shape approaches to problem discovery, transform ambiguous situations into clear opportunities, influence how teams engage with business problems, and become the go to person for undefined challenges. Prototype to Production: Shape prototype to production practices, define standards for handoff, establish quality gates for each conversion layer, and efficiently turn validated prototypes into production systems. ARTIFICIAL INTELLIGENCE AI Engineering Strategy: Pioneer AI integration patterns, publish on AI augmented development, and lead AI in engineering. AI Evaluation & Observability: Shape AI observability and evaluation practices, pioneer novel evaluation methodologies, contribute to industry standards for LLM evaluation, and lead AI quality assurance at scale. AI Literacy: Shape AI literacy programs, contribute to industry understanding, speak publicly on AI applications, and lead AI thought leadership. AI Augmented Development: Shape AI development tooling strategy, pioneer new patterns, and balance speed with verification rigor. LLM Integration: Shape LLM integration strategy, architect multi provider gateway patterns, drive enterprise LLM governance, and lead LLM integration expertise. DOCUMENTATION Knowledge Strategy: Enable broad knowledge sharing and achieve documentation excellence. Developer Experience: Create innovative approaches to internal platforms, build high adoption self service capabilities, and influence industry practices. Knowledge Management: Build knowledge sharing organizations, drive learning culture, and provide governance frameworks. Pattern Generalization: Define organizational approach to pattern generalization, balance standardization with field flexibility, and build platform capabilities from field discoveries. Technical Writing: Innovate documentation approaches, maintain exceptional clarity, and lead documentation initiatives. MACHINE LEARNING ML Strategy: Lead enterprise ML initiatives and innovate on ML approaches across the business unit. Model Development: Innovate on ML for novel problems, shape strategy, and contribute to research or publication. Model Fine Tuning: Innovate fine tuning approaches, shape customization strategy, and serve as a fine tuning authority. Retrieval Augmentation: Innovate on RAG architectures, shape strategy, and contribute to research or tooling. BUSINESS Technology Driven Strategy: Represent the technical perspective at executive level and bridge engineering and business. Business Immersion: Influence domain strategy, embody the immersion mindset, and shape engineering engagement with business. Stakeholder Management: Shape stakeholder practices, manage executive relationships, and build exceptional partnerships. PEOPLE Technical Leadership: Develop leaders, shape talent strategy, and build high performing teams. Multi Audience Communication: Represent engineering externally, communicate across all levels, and bridge audience gaps. Team Collaboration: Cultivate collaborative culture, transform dysfunctional dynamics, and mentor collaboration excellence. ROLE BEHAVIOURS Curiosity: Shape culture around continuous learning and experimental initiatives. Outcome Ownership: Define accountability standards and drive transformational initiatives. Polymath Orientation: Champion cross disciplinary learning and holistic solutions. Precision Communication: Mentor precise communication and drive clarity across roles. Systems Thinking: Shape system design practices, conduct chaos engineering, and bridge technical systems with business processes. QUALIFICATIONS Bachelor's degree in Computer Science, Engineering, or related field with extensive relevant experience. Deep technical expertise with a proven track record of organization wide technical leadership. EXPERT LEVEL SKILLS Business Immersion: Recognized thought leader shaping strategy and engagement. Data Integration: Define patterns, architect large scale flows, and lead enterprise integration. Full Stack Development: Deliver production solutions quickly, shape practices, and exemplify polymathy. Multi Audience Communication: Shape communication practices, represent externally, and bridge audiences. Problem Discovery: Transform ambiguous situations, guide business problem engagement, and lead undefined challenges. Rapid Prototyping & Validation: Shape rapid validation culture, define prototype to production standards, and deliver in days. Stakeholder Management: Manage executive relationships and build exceptional partnerships. Team Collaboration: Build collaborative culture and mentor collaboration excellence. PRACTITIONER LEVEL SKILLS AI Evaluation & Verification: Lead governance, create evaluation standards, and train on AI verification. AI Literacy: Guide adoption decisions, assess risks, and train responsible use. AI Augmented Development: Optimize tool usage, train on workflows, evaluate new tools, and balance speed with verification. Architecture & Design: Design complex systems, evaluate options, guide decisions, and mentor architecture. Code Quality & Review: Enforce standards, mentor code review, ensure AI verification depth, and drive testing strategies. Developer Experience: Lead initiatives, design self service platforms, establish metrics, conduct research, and mentor platform thinking. Knowledge Management: Lead initiatives, create knowledge systems, and mentor sharing. Pattern Generalization: Lead initiatives, define criteria, and mentor abstraction design. Service Management: Lead practices, optimize portfolios, balance investments, and train service thinking. Site Reliability Engineering: Define standards, drive incident improvements, design capacity, and mentor SRE practices. Technical Writing: Define standards, create systems and templates, train on spec driven development, and ensure quality. WORKING LEVEL SKILLS Cloud Platforms: Design solutions, manage infrastructure as code, implement security, and troubleshoot. Data Modeling: Create efficient models, optimize queries, handle migrations, and choose storage. DevOps & CI/CD: Build pipelines, manage infrastructure as code, implement monitoring, and design deployment strategies. Lean Thinking & Flow: Optimize processes, measure cycle time, remove bottlenecks, and maintain quality. Technical Debt Management: Prioritize systematically, balance debt and features, and make pragmatic trade offs. Time Management & Deep Work: Protect focused time, balance priorities, minimize context switching, and help others understand capacity. Work Location Assignment: Hybrid We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating diversity in all its forms, allowing us to be as diverse as the patients and communities we serve. We are proud to be a disability inclusive employer, ensuring equal employment opportunities for all candidates. We encourage you to apply with confidence, knowing we will make reasonable adjustments to support your application and future career. Pfizer endeavors to make our careers website accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please email . Requests for accommodation are accepted only for accessibility purposes. To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI use guidelines available on Pfizer Careers.

About the Role You will be a SME and technical leader in engineering Infrastructure, productivity and enterprise tooling, partnering with globally distributed Engineering, Product and Security teams and systems. What You'll Be Doing Roku is seeking a world class engineer to be a true force multiplier by owning the strategy, architecture, and long-term execution of engineering infrastructure, enterprise tooling, and AI-assisted workflow automation. This architect/strategist role drives org-wide improvements in engineering productivity, delivery throughput, quality, security posture, and cost efficiency by building platforms, working practices and automation (including AI/LLM-enabled capabilities) that scale across geographies and time zones. Key Responsibilities AI-First Automation & Intelligent Tooling Define and lead an AI-first automation roadmap for Engineering Infrastructure and Enterprise Tooling (e.g., reducing waste, accelerating reviews, improving incident response, increasing release confidence). Architect and ship AI/LLM-enabled workflow automation across the SDLC (e.g., risk assessment, automated build, test and deployment, intelligent test selection, change-impact analysis, auto-triage of build/test failures). Establish policies and guardrails for AI usage in internal tools: data handling, prompt/response logging, model/provider selection, evaluation, fallback behaviors, and abuse prevention. Dev Productivity & Enterprise Tooling (Global Scale) Set technical direction and standards for the globally used developer tools, including build systems, source code management, branching/release strategy, and self-service support tools. Architect and evolve, CI/CD and build/test pipelines using Jenkins, Docker, and build systems (Bazel / BitBake / Yocto preferred) to support multi-site engineering environments. Own and scale test and quality workflows leveraging test management systems (e.g., TestRail or equivalent), enabling consistent traceability, reporting, and release sign-off across distributed teams. Drive Jira workflow design and automation (templates, guardrails, integrations) to provide consistent cross org visibility and execution. Workflow Automation (Cross Functional, Cross Geo) Design and implement automation spanning Engineering, Product, Marketing, and Partners (e.g., launch readiness, certification/release checklists, partner onboarding, incident/change workflows). Replace manual coordination with durable automation and integrations that work reliably across regions/time zones. Security, Cost, Performance, and Reliability (Distributed Systems) Embed secure by default controls into pipelines and tooling (access control, secrets handling, audit trails, policy enforcement), including for AI enabled systems. Improve build/test performance and reliability (build times, test duration, flake reduction, pipeline stability) using measurable KPIs and operational rigor. Drive cost efficiencies across tooling/infrastructure (compute utilization, caching strategies, license rationalization including AI/runtime costs and ROI tracking). This is a highly visible role and you will report directly to a Vice President of Engineering. This requires a very strong technical leader with experience in the development of consumer electronics devices. The right person for this role will have ability to collaborate well with engineering and partner teams. Own cross team architectures and standards; drive adoption through influence, clear technical judgment, and sustained multi quarter execution. Lead design reviews, mentor senior engineers, and unblock the hardest technical problems across distributed teams and systems. Provide long term stewardship via roadmaps, operational maturity (runbooks/SLOs), and incident/postmortem practices suitable for 24/7 global operations. Establish yourself as the person others bring their hardest problems to. We're Excited If You Have Bachelor's in Computer Science or Computer Engineering, or equivalent experience. Prior experience at Staff, Principal, or Architect level. Ownership in platform/infrastructure, developer productivity, CI/CD, build systems, or workflow automation, including work spanning globally distributed teams and systems. Strong, hands on knowledge of: Git (workflows, branching strategies, release management). Jenkins (CI/CD pipeline design, scaling, reliability). Docker containers (reproducible build/test execution). Build systems (iBake/Yocto preferred). Jira (workflow design/automation, cross team visibility). Test management systems (e.g., TestRail or equivalent). Demonstrated experience delivering automation at scale, including building platforms/components used by multiple teams. Strong systems thinking across security, reliability, performance, and cost tradeoffs. Excellent written communication (architecture docs, decision records, operating procedures). Experience building AI assisted developer tooling (e.g., CI insights, test intelligence, code review automation, release risk scoring, incident copilots). Experience implementing evaluation/monitoring for AI systems (quality metrics, drift, offline test sets, human feedback loops). Extensive experience with software development on embedded Linux, multi process architectures and IPC mechanisms. Experience working in large cross functional teams and ability to influence teams that don't report to you. Ability to see the big picture while focused on short term objectives and deliverables. Ability to multi task and drive parallel projects and distributed teams with tight deadlines. 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). Our employees can take time off work for vacation and other personal reasons to balance 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 .

As a Principal GCP Data Engineer, you'll be a true subject matter expert in using the data processing and management capabilities of Google Cloud to develop data-driven solutions for our clients. You will typically lead a team or the solution delivery effort, demonstrating technical excellence through leading by example. You could be providing technical support, leading an engineering team or working across multiple teams as a subject matter expert who is critical to the success of a large programme of work. Your team members will look to you as a trusted expert and will expect you to define the end-to-end software development lifecycle in line with modern best practices. As part of your responsibilities, you will be expected to: Develop robust data processing jobs using tools such as Google Cloud Dataflow, Dataproc and BigQuery Design and deliver automated data pipelines that use orchestration tools such as Cloud Composer Design end-to-end solutions and contribute to architecture discussions beyond data processing Own the development process for your team, building strong principles and putting robust methods and patterns in place across architecture, scope, code quality and deployments. Shape team behaviour for writing specifications and acceptance criteria, estimating stories, sprint planning and documentation. Actively define and evolve PA's data engineering standards and practices, ensuring we maintain a shared, modern and robust approach. Lead and influence technical discussions with client stakeholders to achieve the collective buy in required to be successful Coach and mentor team members, regardless of seniority, and work with them to build their expertise and understanding. Qualifications To be successful in this role, you will need to have: Experience delivering and deploying production ready data processing solutions using BigQuery, Pub/Sub, Dataflow and Dataproc Experience developing end to end solutions using batch and streaming frameworks such as Apache Spark and Apache Beam. Expert understanding of when to use a range of data storage technologies including relational/non relational, document, row based/columnar data stores, data warehousing and data lakes. Expert understanding of data pipeline patterns and approaches such as event driven architectures, ETL/ELT, stream processing and data visualisation. Experience working with business owners to translate business requirements into technical specifications and solution designs that satisfies the data requirements of the business. Experience working with metadata management products such as Cloud Data Catalog and Collibra and Data Governance tools like Dataplex Experience in developing solutions on GCP using cloud native principles and patterns. Experience building data quality alerting and data quarantine solutions to ensure downstream datasets can be trusted. Experience implementing CI/CD pipelines using techniques including as git code control/branching, automated tests and automated deployments. Comfortable working in an Agile team using Scrum or Kanban methodologies. In addition to the above, we would be thrilled if you also had: Experience of working on migrations of enterprise scale data platforms including Hadoop and traditional data warehouses An understanding of machine learning model development lifecycle, feature engineering, training and testing Good understanding or hands on experience of Kafka Experience as a DBA or developer on RDBMS such as PostgreSQL, MySQL, Oracle or SQL Server Experience designing data applications to meet non functional requirements such as performance and availability You are pragmatic and already understand that writing code is only part of what a data engineer does. You can clearly communicate with both clients and peers, describing technical issues and solutions in both written and meeting/workshop contexts. You are able to clearly explain technical concepts to non technical audiences at all levels of an organisation. You are able to influence and persuade senior and specialist client stakeholders, potentially across multiple organisational boundaries without direct authority. You are a confident problem solver and troubleshooter. You are confident and generous in sharing your specialist knowledge, ideas and solutions. You are constantly learning and able to make others better by consciously teaching and unconsciously inspiring. Additional information Benefits package at PA: Private medical insurance Interest free season ticket loan 25 days annual leave with the opportunity to buy 5 additional days Company pension scheme Annual performance based bonus Life and Income protection insurance Tax efficient benefits (cycle to work, give as you earn, childcare benefits) Voluntary benefits (Dental, critical illness, spouse/partner life assurance)