64 jobs found

Software Developer - Enterprise Technology, Python London, GB Full-Time Information Technology About Marex Marex Group plc (NASDAQ: MRX) is a diversified global financial services platform providing essential liquidity, market access and infrastructure services to clients across energy, commodities and financial markets. The group provides comprehensive breadth and depth of coverage across four core services: clearing, agency and execution, market making, and hedging and investment solutions. It has a leading franchise in many major metals, energy and agricultural products, with access to 60 exchanges. The group provides access to the world's major commodity markets, covering a broad range of clients that include some of the largest commodity producers, consumers and traders, banks, hedge funds and asset managers. With more than 40 offices worldwide, the group has over 3,000 employees across Europe, Asia and the Americas. Marex has unique access across markets with significant share globally both on and off exchange. The depth of knowledge amongst its teams and divisions provides its customers with clear advantage, and its technology led service provides access to all major exchanges, order flow management via screen, voice and DMA, plus award winning data, insights and analytics. The Enterprise Technology team sits at the centre of Marex's technology landscape, delivering a cross business platform that enables our trading and business streams to innovate and go to market at pace. We provide shared capabilities including API gateways, centralised APIs, real time data streaming, connectivity solutions and emerging AI driven services. By building scalable, resilient and reusable platform components, the team reduces duplication, accelerates product delivery and ensures consistent standards across the organisation. Engine Room is a core part of this strategy, forming the foundation upon which next generation digital services are built. Marex recognises the need to provide digital services to give clients the best possible experience. As such, the technology team at Marex is playing an increasingly important role in the evolution of the firm and enabling business growth and new products and services. Role Summary Join the Enterprise team working on Engine Room, one of Marex's most strategic technology initiatives. As a Full Stack Python Developer, you'll help build and evolve a modern, enterprise grade platform at the core of the business. We're growing quickly and need energetic, flexible thinkers who can respond to changing demands, work collaboratively, and bring ideas to the table. If you enjoy solving complex problems in a fast moving environment and want to help shape technology that truly matters, this is the role for you. Responsibilities Role specific Design, develop and maintain high quality Python based solutions within the Engine Room platform. Contribute to the development of shared enterprise capabilities including API gateways, centralised APIs, real time data streaming, connectivity frameworks and AI enabled services. Participate in shaping Marex's shift to becoming AI native, by building agentic tools into the developer stack, liaising with researchers and the front office, and contributing to the AI ecosystem of the Enterprise team. Build a centralised development environment for use by front office developers. Build scalable, resilient and high performance services that support multiple business streams across Marex. Collaborate closely with product owners, architects and other engineering teams to translate business requirements into robust technical solutions. Contribute to architectural design discussions and help shape platform standards, patterns and best practices. Ensure solutions are secure, observable and aligned with enterprise governance and regulatory requirements. Support the continuous improvement of CI/CD pipelines, automated testing and DevOps practices. Participate actively in team discussions, technical brainstorming sessions and knowledge sharing. Adapt quickly to changing priorities and evolving business demands in a fast paced environment. Provide support and troubleshooting for production systems where required, ensuring high availability and reliability. Contribute to documentation and maintain clear technical artefacts to support long term platform sustainability. Promote a collaborative, inclusive and high performing team culture. Competencies, Skills, Experience & Qualifications A collaborative team player, approachable, self efficient and influences a positive work environment. Resilient in a challenging, fast paced environment. Ability to take a high level of responsibility in a fast pace and high volume environment. Excels at building relationships, networking and influencing others. Strategic collaborator with insight and agility, able to anticipate future challenges, ensuring operational effectiveness. Skills and Experience - Essential Strong experience in Python development, building production grade backend services and APIs (e.g. FastAPI, Flask, Django). Good working knowledge of at least one Python based front end framework. Experience working with AWS cloud services (e.g. ECS/EKS, Lambda, S3, RDS, API Gateway). Experience with event driven architectures, ideally using Kafka. Understanding of CI/CD pipelines, automated testing and DevOps practices. Strong understanding of software design principles (SOLID, clean architecture, domain driven design concepts). Experience working in Agile/Scrum delivery environments. Experience working across multiple teams or organisations, solving business problems with technology. Working knowledge of NodeJS or C#. Experience in with Beacon, Athena / SecDB or similar. Experience with Infrastructure as Code, ideally Terraform. Experience building or contributing to enterprise platform or shared services environments. Exposure to API gateway technologies and distributed systems design. Experience implementing observability tooling (logging, monitoring, tracing). Financial services or capital markets experience (advantageous but not essential). Experience using CDM as a data model (advantageous but not essential). Conduct Rules You must: Act with integrity. Act with due skill, care and diligence. Be open and cooperative with the FCA, the PRA and other regulators. Pay due regard to the interests of customers and treat them fairly. Observe proper standard of market conduct. Marex is fully committed to being an inclusive employer and providing an inclusive and accessible recruitment process for all. We will provide reasonable adjustments to remove any disadvantage to you being considered for this role. We value the differences that a diverse workforce brings to the company.

Role Overview In this Principal role, you will lead the design, build, and operational excellence of core platform capabilities covering backend services, modern frontend applications, and critical platform infrastructure or APIs. You will drive architectural strategy, mentor senior engineers, collaborate at cross functional and technical leadership levels, and ensure the system scales reliably across global, enterprise use cases. Key Responsibilities Define and implement the architecture and delivery of backend services and microservices, supporting high throughput, globally distributed systems. Lead frontend development using modern frameworks (React/Angular/Vue.js + TypeScript) for responsive, performant, enterprise grade applications. Drive design and implementation of containerization/Docker and orchestration (Kubernetes) for production scale deployment and standardization across teams. Partner with cross functional leaders (product, UX, QA, architecture) to shape roadmap, align technical strategy with business priorities and ensure rapid but sustainable delivery. Establish engineering best practices: code reviews, technical mentorship, continuous improvement, testing frameworks, CI/CD pipelines, observability and platform health. Own cloud-native delivery (AWS, GCP, Azure), infrastructure-as-code, monitoring and operational resilience for mission critical capabilities. Lead risk identification and mitigation, optimize system performance, ensure scalability and reliability across multi tenant enterprise environments. Act as a mentor and thought leader, enabling engineers across teams, contributing to onboarding, knowledge sharing, industry innovation, and engineering culture. Required Skills & Experience Extensive professional software engineering experience (or analogous senior technical leadership) with deep expertise in Java and object-oriented design. Strong understanding of RESTful API design, relational databases (SQL) and large scale backend operations. Hands on with containerization and orchestration technologies (Docker, Kubernetes) in production. Experience using version control (Git) and agile methodologies (Scrum, Kanban) in global, cross team environments. Excellent analytical, problem-solving, communication and influencing skills, with the ability to engage with senior stakeholders and technical leaders. Deep experience with cloud platforms (AWS, GCP, Azure) and infrastructure automation (Terraform, Ansible). Familiarity with data streaming/event driven architectures (Kafka, Flink, Pulsar) and high throughput systems. Mature experience with CI/CD tooling (Jenkins, GitHub Actions) and micro frontend patterns. Strong testing & observability mindset (JUnit, Jest, Cypress) and performance optimisation. Prior experience in global engineering teams, mentoring senior and principal engineers, and setting engineering direction. Soft Skills Demonstrated technical leadership and mentorship-capable of guiding others to drive technical excellence and elevate team delivery. Strategic thinker with business-oriented mindset: engineering decisions aligned with product and company goals. Agile, adaptable, curious-thrives in fast moving environments, embraces change, and champions continuous improvement. Equal Employment Opportunity Statement 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.

About us: Spectrum.Life is a whole-of-health digital partner that guides organisations and their people to thrive, delivering clinically backed digital health, mental health and wellbeing solutions. Our HealthTech delivers digital transformation for Insurers, Educators and Employers through Co-creation or seamlessly integrated out-of-the-box solutions, that decrease digital fragmentation and engage, empower, and transform their people's lives. Established in 2018 by Stuart McGoldrick and Stephen Costello, Spectrum.Life provides services internationally to over 7.2m insurance members, 3,000 corporate clients, 60 universities and 650,000 university students. Spectrum.Life currently employs over 450 people. Our vision is to change and save as many lives as possible. Role Brief: We are seeking an experienced and forward thinking DevOps Lead to own the infrastructure, security, and continuous delivery pipelines that form the backbone of our AI driven projects. This is a critical, hands on role where you will be responsible for building and maintaining a resilient, secure, and highly automated environment across our cloud platforms. You will be the designated expert for all things related to infrastructure and DevOps. Your deep understanding of cloud architecture, security principles, and CI/CD will ensure our engineering teams can build and release software quickly, safely, and efficiently. If you are passionate about automation and leveraging AI to create intelligent, self healing systems, we want to hear from you. Responsibilities: Cloud Infrastructure & Automation Architect, build, and manage scalable and secure infrastructure on AWS using Infrastructure as Code principles, primarily with Terraform. Develop and maintain bespoke automation scripts to accelerate project setup, on demand environment creation, and other operational tasks. Champion and implement solutions like LocalStack to streamline local development and testing workflows for engineers. Provide expert guidance on systems architecture, ensuring our infrastructure is designed for performance, scalability, and resilience. Collaborate with engineering teams to manage and automate the infrastructure for our services, including APIs and databases, ensuring their performance and reliability. CI/CD & Release Management Develop and improve CI/CD pipelines using GitHub Actions, from code commit to production deployment. Integrate and manage automated testing, dependency updates, and security scans within the pipelines to ensure code quality and security. Empower engineers with the tools and automation needed to reduce friction, manage technical debt, and focus on building great products. Define and continuously improve our release processes, ensuring smooth and predictable deployments. Security & Compliance Act as the subject matter expert for security, compliance, and data flows within our cloud infrastructure. Implement and manage security best practices and automated tooling (SAST/DAST, dependency scanning) to protect our applications and data. Oversee the security and compliance of AI related data flows, ensuring that any data sent to third party services is minimized, anonymized, and explicitly not used for external training purposes. Ensure all infrastructure and processes adhere to legal and regulatory requirements, maintaining customer trust and data privacy. Observability & Incident Management Implement and manage a robust observability strategy using tools like Sentry, Datadog, and native cloud services. Configure critical alerting and monitoring (e.g., AWS CloudWatch Alarms) and integrate them with notification services to ensure rapid response. Lead the incident management process for infrastructure related issues, with a focus on root cause analysis and proactive prevention to minimize hotfixes. Champion the use of AI in operations, exploring and implementing tools for anomaly detection, predictive analysis, and automated remediation. Collaborate with our existing core infrastructure engineer on business as usual projects to ensure strategic alignment across the company, while maintaining a primary focus on AI project initiatives. Requirements: Proven experience in a DevOps/Infrastructure Engineering role with a focus on automation. Proficiency in managing cloud infrastructure on AWS. Experience supporting infrastructure for ML/AI projects (MLOps) is highly desirable. Deep, hands on experience with Infrastructure as Code using Terraform. Hands on experience with containerization technologies (Docker, Kubernetes) and networking (VPCs, Load Balancers). Expert level knowledge of building and managing complex CI/CD pipelines, with a strong preference for GitHub Actions. Strong understanding of system architecture, security best practices, and compliance standards. Comfortable with scripting languages (e.g., Python, Bash) to build automation and tooling. Experience with the operational lifecycle of APIs and databases from an infrastructure perspective. Hands on experience with modern observability and error tracking tools such as Sentry, Datadog, Prometheus, or Grafana. You have a deep technical curiosity and a passion for automation. You act as a force multiplier, empowering the engineering team with the tools and processes they need to succeed. You take complete ownership of your domain and are a reliable partner to the engineering teams you support. You are a strategic thinker who can balance speed and safety, enabling developers to move fast without compromising on security or stability. You are a strong communicator who can explain complex technical concepts to a variety of audiences. You are proactive in identifying potential issues, reducing technical debt, and improving the overall development lifecycle. Benefits of working at SPECTRUM.LIFE Full time permanent contract Work from home Competitive salary (dependent on experience) + employee benefits Continuous professional development and training opportunities. 25 days of annual leave 24/7 EAP and a wide range of health and wellbeing supports Extensive list of employee perks and benefits:

Mark43 is approved to hire in Canada, the UK, and 36 U.S. states, including Alabama, Arizona, California (excluding San Francisco), Colorado, Connecticut, Washington D.C., Florida, Georgia, Iowa, Idaho, Illinois, Indiana, Kansas, Massachusetts, Maryland, Maine, Michigan, Minnesota, Missouri, North Carolina, Nebraska, New Hampshire, New Jersey, New Mexico, New York, Ohio, Oklahoma, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, Vermont, Washington, Wisconsin, and West Virginia. Before applying to a remote role, please ensure that you are able to perform the position in one of the states listed above. State locations and specifics are subject to change as our hiring requirements shift. Applicants must be authorized to work for any employer in the country in which the role is being hired. We are unable to sponsor or take over sponsorship of an employment visa at this time. About Mark43 Mark43 empowers communities and their governments with technology that improves safety and quality of life. We build modern, resilient software that first responders and public safety agencies depend on in their most critical moments. Role Overview We are seeking an experienced Senior Software Engineer - Integrations who will take technical ownership of building and scaling integrations between Mark43's core platform and mission critical third party systems. You'll lead the design, development, and implementation of robust APIs, data pipelines, and messaging layers, ensuring seamless operational data flow for emergency dispatch and response systems. This is a hybrid role requiring at least three days per week in our Manchester office to support strong team collaboration. What You'll Do Lead full lifecycle development of integrations that connect the Mark43 platform with external systems such as 911 call centers, state databases, evidence systems, and other key services. Drive architectural decisions and ensure scalable, maintainable solutions across REST APIs, message queues, and event driven workflows. Collaborate closely with Product, Engineering, and partner technical teams to define reliable API contracts and integration patterns. Mentor and guide more junior engineers on the team, elevate coding standards, and lead code reviews. Contribute to integration testing strategies, observability, and dashboards to monitor operational data flows. Champion best practices for performance, security, and error handling in distributed systems. Participate in sprint planning, roadmap discussions, and technical strategy across the integrations team. What You'll Need 4+ years of professional software engineering experience, with a strong focus on backend services, distributed systems, and system integrations. Proven ability designing and operating APIs, webhooks, or asynchronous messaging systems (e.g., Kafka, queues). Experience with languages and technologies relevant to our stack such as Java, TypeScript/JavaScript, RESTful services, SQL/MySQL, and data pipelines. A solid understanding of integration challenges, including data transformation, schema evolution, retries, and failure management. Experience leading technical workstreams and mentoring less senior engineers. Strong communication skills and the ability to work with cross functional partners. Nice to Have Prior experience in public safety, government software, or regulated domains. Familiarity with CI/CD pipelines, observability tooling, and cloud native practices. Why You'll Love Working Here At Mark43 you'll work on software that directly impacts how first responders protect communities. You'll enjoy collaborating across disciplines, shaping product integrations that accelerate public safety operations, and mentoring a talented engineering team. Joining our Manchester office fosters a supportive culture rooted in shared mission and innovation. Location This role is based in our Manchester, UK office and follows a hybrid work model. Team members are expected to be in the office at least three days per week to foster strong collaboration and a connected team environment. Our Privacy Notice describes how Mark43 uses and protects the personal information of prospective employees during the recruitment process. It informs you about our handling of the personal information you provide to us when you apply for a position in our organization and in general when you express your interest in joining our team. As a part of Mark43's security measures all employees must: Engage in appropriate use of the company's electronic information resources; Become knowledgeable about and follow relevant security policies and guidelines; Protect the resources under their control, such as passwords, computers, and data that they create, receive, or download; and Promptly report security-related incidents and violations, and responding to official reports of security incidents involving their systems or accounts. Mark43 is committed to the full inclusion of all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed, please email requesting the accommodation.

The role tldraw is hiring a backend/infrastructure engineer to strengthen the systems behind our product, improve release reliability, and support our next stage of growth. You'll bring deeper backend, infrastructure, and DevOps experience to a team of product-minded generalist engineers. This is a London based, in-office role. This is a high ownership role in a small, fast-moving team. You'll work across backend services, deployment infrastructure, release processes, and observability. You'll build and maintain the services and tooling that power our SDK, and how we ship. We care about craft and momentum. We're looking for someone who can pick up a problem, drive it end-to-end, and raise the bar for how we build and operate our systems. We're looking for strong judgment and pragmatism, not rigid process. You will Own and improve backend systems supporting our SDK, and related infrastructure Improve release safety and speed (versioning, testing, rollbacks) Build and scale backend services, APIs, data flows, and systems that power Investigate and resolve production incidents and infrastructure issues Partner with product engineers across the stack, and document what you build so the team can move faster You'll need Fluency with TypeScript, Node.js, and systems design Ability to write production-quality code independently (without AI assistance during our interview process) Strong hands-on experience building and operating production backend systems Experience with infrastructure, CI/CD, monitoring/alerting, and incident response Track record improving reliability, developer experience, or release quality Clear communication, strong judgment in ambiguity, and comfort helping other engineers level up on backend/infrastructure It's a plus if you Have been an early or founding engineer at a startup Have experience with developer tools, SDKs, real-time collaboration, or local-first software Have used Cloudflare, real-time databases, or similar backends for collaborative applications Have built infrastructure for products serving both end-users and developer customers Contribute to open source or developer communities What you'll get Competitive salary + equity options Hybrid working model 25 paid days holiday + UK public holidays Private health insurance + pension contribution Excellent equipment and choice of tools About you You care about reliability, craft, and momentum. You like making systems understandable and easy to build on, and you're comfortable spanning backend, infrastructure, and product when it helps the team ship. You can go deep when needed, stay pragmatic under ambiguity, and help others learn especially around backend architecture, release processes, and operational trade-offs. About tldraw tldraw is a London based Series A startup building software for infinite canvas applications. We're best known for our free collaborative whiteboard used by millions, and for viral demos like Computer and Make Real. Our commercial product is the tldraw SDK, a React library that lets companies build collaborative canvas experiences into their own products. Our community includes 70k+ X followers, 45k+ GitHub stars, and 6k Discord members. Our customers include Google, Autodesk, ClickUp, and Blackrock.

About Allica Bank Allica is the UK's fastest growing company - and the fastest-growing financial technology (Fintech) firm ever. Our purpose is to help established SMEs, one of the last major underserved opportunities in Fintech. Established SMEs are the backbone of local communities - representing over a third of our economy - yet have been largely neglected both by traditional high street banks and modern fintech providers. Technology sits at the centre of Allica. We design and build the platforms that power the bank, working closely with every part of the business to deliver real impact for customers. Our teams move quickly, focus on outcomes, and take ownership from concept through to delivery. We solve complex problems, modernise processes, and enable the business to scale with confidence. What makes us different is the level of influence and autonomy engineers have. We work without the weight of legacy systems, which means we can focus on building for the future. Everyone contributes ideas and helps shape how we operate, and roles evolve as the organisation grows. This is a place for people who want to have a tangible impact and do their best work in a modern, collaborative environment. Role Description The Full Stack Engineer contributes to the design and delivery of products within a squad, helping to build secure, reliable, and accessible software while maintaining high engineering standards and a good developer experience. You will use your skills in Spring Boot microservices (Kotlin/Java) and modern web technologies (React/TypeScript) to deliver features across the stack. Our backend services run as containerised applications on Azure Container Apps, and our web applications are deployed via Azure Static Web Apps; you will help ensure the services and applications you work on are production ready and make effective use of these platforms. You will contribute to good engineering practices in observability, CI/CD, security, performance, and accessibility, helping systems meet the standards expected of a UK bank. You will contribute to Architecture Decision Records (ADRs) and follow organisation wide patterns and standards. You are hands on and collaborative: you help design features, write code, review changes, and work closely with engineers, Product, and Design to deliver valuable outcomes. You use approved GenAI tools such as GitHub Copilot, Codex or Claude Code responsibly to improve productivity and quality, while validating outputs carefully. Success in this role is measured by the consistent delivery of high quality features, contribution to reliable and maintainable systems, improvements to the codebase and operational health of services, and your growth in technical capability and ownership. Responsibilities Contribute to the end to end design and delivery of features across the full stack using backend Kotlin/Java Spring Boot microservices, containerised and deployed on Azure Container Apps, exposing REST/OpenAPI APIs and integrating with other services and data stores; frontend using React/TypeScript, shared design system components, and agreed architectural patterns deployed on Azure Static Web Apps. Participate in technical design discussions and produce clear ADRs for significant decisions, documenting context, options, trade offs, and outcomes in line with organisation standards. Support the squad's services in production by contributing to SLOs and operational metrics, monitoring systems, responding to incidents, and helping to reduce recurring issues and improve reliability. Apply secure and compliant engineering practices: follow secure coding standards, contribute to threat modelling activities, ensure logging, audit trails, and data handling meet regulatory and privacy requirements, and ensure accessibility standards are met in user facing features. Strengthen observability and operational excellence within the squad by contributing to metrics, tracing, logs, dashboards, runbooks, and alerts, and using them effectively in day to day engineering work. Improve developer experience: contribute to CI/CD pipelines, test strategy, local development workflows, release practices, and other developer experience initiatives in line with wider engineering standards and cloud deployment patterns. Use AI assisted engineering responsibly: validate and refine AI generated code to ensure correctness, maintainability, and compliance; share feedback and effective practices with the team. Collaborate closely with Product Managers and Designers to understand requirements, shape practical solutions, and deliver work aligned to product goals and timelines. Support other engineers through pairing, code review, and knowledge sharing, contributing positively to the growth and effectiveness of the squad. Qualifications Experience building and operating Spring Boot microservices in Kotlin or Java, including REST APIs, integrations, and containerised deployments on a major cloud platform (Azure preferred; AWS or Google Cloud also relevant). Good knowledge of React and TypeScript, with practical experience building accessible, maintainable, and performant user interfaces. Ability to design and deliver well structured features within an existing architecture, with an understanding of trade offs around scalability, maintainability, and delivery pace. Good understanding of distributed systems fundamentals appropriate to microservices, such as resilience, latency, and failure handling. Good understanding of secure coding practices, privacy considerations, and security expectations for production systems. Experience with testing, CI/CD pipelines, and observability tooling; familiarity with Azure DevOps Pipelines and Azure deployment services is beneficial. Ability to improve code quality through refactoring, clearer abstractions, and maintaining sensible boundaries between modules and services. Experience collaborating through code review, pairing, and technical discussions to help improve team outcomes. Experience using GenAI tools such as GitHub Copilot, Codex or Claude Code to improve productivity and code quality, with a clear understanding of their limitations and the need for review and validation. Strong communication and collaboration skills, with the ability to work effectively with engineers, Product Design, and other stakeholders. Benefits Full onboarding support and continued development opportunities Options for flexible working Regular social activities Pension contributions Discretionary bonus scheme Private health cover Life assurance Family friendly policies including enhanced Maternity & Paternity leave

Platform Engineer - Platform Engineering Group Our newly formed Platform Engineering Group is building the golden paths that the engineering teams behind our enterprise cloud products will use to build, ship, and run their software. We're looking for an engineer to join this group and help build it out - someone who will design and build the internal tooling and pipelines that make the right way the easy way. This is a hands on, pattern setting role - you'll be helping shape our future direction. About Smart Communications Smart Communications is the trusted choice for regulated enterprises looking to modernize complex processes and connect with customers in the moments that matter most. Our Conversation Cloud platform powers frictionless, compliant, digital first experiences through omnichannel communications, intelligent data capture, and secure digital archival. More than 650 enterprises worldwide-including Zurich Insurance, Priority Health, The Pacific Financial Group, and The Bancorp-rely on Smart Communications to reduce compliance risk, boost operational efficiency, lower costs, and fast track digital transformation that fuels business growth and elevates the customer experience. With more than 30 pre built connectors, Smart Communications' cloud native platform integrates effortlessly with the world's most trusted enterprise systems including Salesforce, Guidewire, DuckCreek, OneSpan, and Pega, enabling more than 60 billion mission critical customer conversations globally, and driving faster time to value. Who are you? You might be a Platform Engineer today, or a software engineer who has gravitated toward improving how other engineers work-local development, testing, CI/CD, release. Either way, you think of developer experience as a product, with internal engineers as your users. You're a capable software engineer with real depth in at least one language, and you have considered opinions about stacks, tooling, and trade offs - opinions you can defend and, just as importantly, change. You treat testing as a first class part of how software gets shipped. You're fluent with testing frameworks and approaches - unit, integration, contract - and you can reason about test architecture as a deliberate design problem, not an afterthought. You're comfortable building both the tooling (internal apps, templates, scaffolding) and the pipelines underneath it. You don't need to be an infrastructure expert but you're fluent enough with cloud infrastructure to build pipelines that hold up in production. You're a continuous learner, constantly looking for where automation can make things safer, faster, and less painful. You can work directly with engineers, architects, and other stakeholders-surfacing your own ideas, taking pushback well, and iterating toward solutions that deliver real value for the effort involved. What we're looking for Must have skills / experience Strong software engineering skills, with demonstrated depth in at least one language Strong grounding in testing - frameworks, architecture, and approaches across unit, integration, and contract Experience building and running containerised workloads in production Experience with IaC - one or more of CloudFormation/CDK, Terraform, Pulumi Experience designing and building CI/CD pipelines Experience building tooling or automation that other engineers depend on Strong communication skills A track record of working effectively with engineers and stakeholders outside your immediate team Advantageous skills / experience Hands on experience in an environment practicing genuine continuous release Automated release processes and progressive delivery Experience instrumenting production systems for observability AWS GitHub Actions Our Values S - Speak openly - We are positive, creative, helpful, kind and we have fun. We listen and provide constructive feedback. Through meaningful conversations we encourage each other to be the best that we can be. M - Make a difference - We focus on the things that matter and prioritize the things that have the greatest impact. We celebrate success and hold ourselves accountable for our choices. A - Agile & flexible - We are focused on evolving, improving, and growing. We think differently and challenge the status quo with open minds. We ask "why?" so that we can help remove complexity. R - Results focused - We get stuff done by being efficient, working at pace and paying attention to detail. We focus on finding solutions and fixing things. T - Teamwork - We are stronger and better together. We collaborate, trust and support each other to deliver results for our company and our customers. Benefits and Compensation Salary will depend on your experience and will be highly competitive. In addition to a friendly and fun working environment, we provide a range of benefits, including extensive health insurance, income protection, life assurance, subsidised gym membership, leisure travel insurance, pension contribution and 25 days' holiday allowance plus an additional day off for your birthday. Our offices are located in Covent Garden, comfortable, flexible, and always stocked with free beverages and fresh fruit. The role is a hybrid setup with occasional work from the office required. Equal Opportunity Statement Please note: we only consider applicants with current legal right to work in the countries in which our positions are based. All qualified applicants will receive consideration for employment regardless of colour, religion, sex, national origin, sexual orientation, age, disability, marital status or gender identity. Learn More To learn more about Smart Communications visit:

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. Job responsibilities Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Leads evaluation sessions with business stakeholders, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Use AI-assisted tools to accelerate engineering work while maintaining controls, including: Drafting/refactoring code and documentation with validation via tests, code review, and static/security scanning. Generating and expanding test scenarios (edge cases, regression suites) and verifying correctness/coverage. Assisting with troubleshooting by summarizing signals (logs/alerts/traces) and proposing hypotheses, confirmed through reproducible investigation. Apply responsible AI practices: protect sensitive data, avoid inappropriate input of confidential information, and treat AI output as non-authoritative until verified. Adds to team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on engineering concepts and 10+ years applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s) Proficiency in automation and continuous delivery methods Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Proficient in full stack development skill Java 21, REACT or any other frameworks , building into Public Cloud and CD/CD strategies. Practical experience using AI-assisted development tools to improve productivity and quality, with a strong verification mindset (tests + peer review). Preferred qualifications, capabilities, and skills In-depth knowledge of the financial services industry and their IT systems Practical cloud native experience Experience with observability tooling and practices (structured logging, metrics, distributed tracing) and incident/problem management. Work Style / Ways of Workin g Strong communication skills, ownership mindset, and ability to collaborate across product, engineering, and operations. Commitment to inclusive teamwork and continuous improvement in engineering practices and delivery excellence. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Job Description At Remitly, we believe everyone deserves the freedom to access, move, and manage their money wherever life takes them. Since 2011, we've tirelessly delivered on our promise to customers sending money globally, providing secure, simple, and reliable ways to manage their money, ensuring true peace of mind. Whether it's supporting loved ones back home, growing a business across continents, or pursuing new opportunities abroad, we're not just here to move money- we're here to move our global customers forward. We're looking for builders, reimaginers, and global thinkers who want to work at the intersection of technology, trust, and transformation. If that's you and you're ready to do the most meaningful work of your career-we invite you to join over 2,800 passionate Remitlians worldwide who are united by our vision to transform lives with trusted financial services that transcend borders. About the Role The Treasury team manages Remitly's global funding operations - optimising liquidity positions, managing funding corridors, and ensuring capital is available wherever it's needed. Reporting to the Head of Treasury Analytics & Data Science (London), this London-based (hybrid) role sits at the intersection of LLMs, Treasury operations, and data infrastructure. We're looking for a builder who moves fast from idea to production - someone who can own agentic systems end-to-end and directly increase the operational capacity of the Treasury team. You Will Build Cash flow monitoring agents: intraday cash position tracking, reconciliation, variance flagging, and automated daily reports across accounts and currencies. Funding execution agents: instruction routing, approval workflows, payment scheduling, cut-off monitoring, and settlement tracking - encoded with business rules and risk parameters. Narrative agents: auto-generated end-of-day and intraday funding commentary, exception summaries, and context-aware alerts delivered to the right stakeholders. Discovery-to-deployment pipeline: structured sessions with Funding operators to identify manual tasks, then ship agents that eliminate them - reporting packs, utilisation dashboards, liquidity summaries. Embed within the Funding team at the outset - running existing workflows end-to-end alongside operators to develop a first-hand understanding of day-to-day processes, limitations, and pain points before a single agent is scoped or built. Agent Infrastructure & Growth Build reusable, modular agent components and tool libraries that scale as Remitly expands into new markets and corridors. Contribute to Treasury-wide agent governance standards, evaluation frameworks, and shared infrastructure. Research and recommend emerging LLM capabilities and agentic tooling to keep the Funding function ahead of the curve. Partner closely with the Treasury Engineering team to develop the data accuracy, completeness, and timeliness required by Treasury Agents You Have Advanced proficiency with coding agents across complex development scenarios Experience architecting multi-service systems, including complex persistence, integrations, and scaling Understanding of distributed systems tradeoffs and cloud-based infrastructure design AI tool fluency: orchestrators, automated workflows, comprehensive evaluation pipelines Advanced systems architecture expertise across the full technology stack Proficiency in customer discovery techniques and ability to connect technical work to business outcomes Competence with design thinking, analytics tools, and funnel analysis Experience guiding others on AI-first development approaches Expertise in experiment modelling, funnel analysis, and data-informed decision making Track record of mentoring others and elevating team capabilities Nice to Have Treasury, fintech, or payments domain knowledge (cash positioning, FX, liquidity). LLM observability tools: LangSmith, Arize, Weights & Biases. AWS (S3, Glue, Redshift, Lambda); TMS/financial data providers (Bloomberg, Kyriba). Startup, founder, or cross-functional multi-product experience. Our Benefits Paid Vacation Days Health insurance Commuter benefit Employee Stock Purchase Plan (ESPP) Mental Health & Family Forming Benefits Continuing education and corridor travel benefits Our Connected Work Culture: Driving Innovation, Together At Remitly, we believe that true innovation sparks when we come together. Our Connected Work Culture fosters dynamic in-person collaboration, where ideas ignite and challenging problems find solutions faster. For corporate team members, we have an in-office expectation of at least 50% of the time monthly, typically achieved by coming in three days a week. This creates a consistent, meaningful overlap that supports team norms and business needs. Managers also have the flexibility to set higher expectations based on their team's specific needs. These intentional in-office moments are vital for deepening relationships, fueling creativity, and ensuring your impact is felt where it matters most. Remitly is an E-Verify Employer At Remitly, we are dedicated to ensuring that our workplace offers equal employment opportunities to all employees and candidates, in full compliance with applicable laws and regulations. Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

About the job Role: Site Reliability Engineer Type: Full time permanent role Location: Hybrid, London City - 3 days per week on site Salary: £90,000 per annum Industry: Technology - Gaming Platforms Our Client is a premier provider of high volume software solutions for the global iGaming and predictive analytics sector. With a footprint spanning the USA, UK, and Europe, they partner with industry leaders to engineer sophisticated platforms for sports wagering, prize based systems, and complex market simulation environments. Their vision is to lead the evolution of interactive technology through intelligent, data driven architecture that ensures seamless user experiences. The firm is driven by a culture of teamwork, transparency, and technical excellenc. The role You will help shape and drive how the firm builds and operates reliable, observable, secure, and cost efficient systems on AWS. Working closely with development, platform, and incident management teams, you will define reliability in measurable terms and build the tooling and processes to achieve it, improving platform speed, stability, and scalability. Key responsibilities Partner with engineering teams to define, measure, and manage SLOs/SLIs, using error budgets to guide delivery decisions. Enhance observability across services (metrics, logs, traces) to detect and resolve issues proactively. Lead cost optimisation: monitor spend, right size workloads, tune autoscaling, and improve infrastructure efficiency. Improve production readiness via pre deployment checks, post release validation, and robust platform guardrails. Introduce and run chaos engineering experiments to strengthen resilience and recovery. Automate operational processes to reduce manual intervention and toil across the stack. Support major incident response, root cause analysis, and continual improvement actions. Collaborate cross functionally to raise standards for stability, security, performance, and compliance. Required skills & experience 3+ years' experience in SRE, Platform, or DevOps roles within production environments. Strong Kubernetes operational experience (on prem and AWS EKS). Hands on experience defining and operating SLOs/SLIs, alerting, and incident workflows. Deep understanding of observability and telemetry (monitoring, logging, tracing). Infrastructure as Code with Terraform; experience with GitOps workflows and CI/CD. Scripting proficiency in Python, Bash, or Go. Proven ability to balance cost efficiency with reliability and performance. Excellent communication skills and the ability to work effectively across multiple teams. Strong Desirables for this role Experience running chaos engineering experiments. Exposure to high throughput, low latency systems. FinOps knowledge or cost management practices. AWS certifications (e.g., Solutions Architect, DevOps Engineer).

Job Title: Senior AI and Data Engineer Location: Hybrid Working - London N3 / EC4M Working Hours: Monday to Friday, 35 hour week (Flexitime) Reporting to: Operations & Transformation Director Salary: £80,000 - £90,000 About BKL BKL is a Top 40 accountancy and advisory business supporting a diverse client base, from entrepreneurs and high net worth individuals to ambitious owner managed businesses and multinational groups. With a legacy spanning over 130 years, we've evolved into a modern, purpose driven business that balances profit with impact. We are proud to be a certified B Corp, reflecting our commitment to sustainability, transparency, and responsible governance. As a member of DFK International, we support clients locally and internationally with cutting edge expertise and a personal touch. We believe all clients deserve the same level of care, innovation, and excellence. About the Team You'll be joining our Strategy and Transformation Team, working at the heart of BKL's AI capability. The team works closely with senior leadership, operational stakeholders and colleagues across service lines, supporting them with technology delivery, strategic change, and digital transformation. We're collaborative, innovative and outcome focused, offering exposure to firm wide transformation initiatives and the opportunity to help shape our evolving data and AI capabilities. A Message from the Hiring Manager We're looking for a hands on and versatile Data & AI engineer who's excited to ship production AI systems in a professional services firm. You'll work closely with senior stakeholders to scope opportunities to use AI and then partner with teams to develop point solutions for these. The solutions will range in nature from intelligent document processing to agentic workflows that augment our advisors and drive real productivity. If you're pragmatic, curious, and motivated by impact, we'd love to hear from you. Your Opportunity This is a hands on senior engineering role building the AI systems that power BKL's transformation. You'll own the design and delivery of AI enabled workflows, and LLM powered applications used across the firm. With real ownership, senior visibility, and scope to shape our technical direction, this is an opportunity to do your best work on meaningful problems. How You'll Make a Difference Design, build, and deploy production grade data and AI systems, from ingestion and transformation pipelines through to the AI applications that run on them. Build and maintain reliable data pipelines and lakehouse infrastructure that serve both analytics and AI workloads across the firm. Own technical decisions across the stack - from data modelling and pipeline design to retrieval, evaluation, and deployment patterns. Build robust evaluation frameworks to measure and improve system quality over time. Scope new opportunities and gather requirements with business teams, capturing and prioritising requirements and defining what good looks like before building. Partner closely with teams across the firm as a trusted advisor, running discovery to understand how they work, analysing their processes and pain points, and shaping and scoping point solutions together that deliver measurable business value. Contribute to our engineering standards, mentoring others and raising the bar on code quality, testing, and operational excellence. Stay close to the rapidly evolving AI ecosystem and bring relevant innovations into our work. Required Skills & Experience 6+ years of professional software engineering experience, with a track record of developing production grade systems. Strong expertise in Python and SQL. Solid understanding of data engineering foundations - orchestrating ETL/ELT pipelines, data modelling, and working with large datasets in a lakehouse/warehouse setting. A genuinely collaborative, business facing approach - comfortable acting as the bridge between business and technology: running discovery with non technical teams, gathering and analysing requirements, and translating business problems into scoped, high impact AI solutions together. Hands on experience building LLM powered applications, with strong underlying skills (prompt engineering, structured outputs, tool use, and evaluation). Experience building agentic workflows or retrieval augmented (RAG) applications. Strong CI/CD and production deployment discipline - testing, observability, versioning, and safe rollout. Experience with Databricks (Unity Catalog, Delta, PySpark) or equivalent lakehouse platforms. Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or related STEM field. Desired Skills & Experience Experience building on Microsoft or Azure AI platforms (such as Azure AI Foundry, Copilot Studio, or the Power Platform), or the appetite to get up to speed quickly. Familiarity with agent and tool integration patterns - function and tool calling, connecting agents to enterprise data and systems, and protocols such as MCP. Comfort working across multiple LLM providers and selecting the right model for a given task. Experience delivering user facing tools within enterprise environments such as Microsoft 365, Teams, or the web. Fluency with AI assisted development tooling in day to day development. Background in professional services, consultancy, or another regulated or advisory environment. Strong communication skills, with the ability to explain complex technical concepts clearly to non technical stakeholders. Our Values Think Big - Be curious, brave, and open to new ideas. In It Together - Collaborate, care, and build an inclusive culture. Take Pride - Strive for excellence and believe in your impact. Do the Right Thing - Act with integrity, honesty, and fairness. Enjoy It - Bring your whole self to work and have fun doing it. Working With Us: Your Benefits, Wellbeing & Development Snapshot of our Benefits Package Private Medical Insurance (PMI) - including mental health cover, hospital treatment & 24/7 GP access Health Cash Plans - covering everyday costs like dental, optical & physiotherapy and an Employee Assistance Programme Pension scheme - helping you save for retirement in a tax efficient way Group Life Assurance - peace of mind with financial protection for your loved ones Cashback & savings portal - discounts across hundreds of high street and online retailers Cycle to Work Scheme - spread the cost of a new bike and accessories tax free Electric Vehicle Scheme - sustainable transportation options that include roadside support and servicing Free Mortgage Advice - expert guidance for your home buying journey Season Ticket Loan - support with travel expenses Enhanced Family Leave - generous leave policies for family related needs Holiday Entitlement - generous entitlement which increases with promotion Development & Growth Clear development pathways and progression frameworks Professional qualifications support - including study time and funding Internal mentoring, coaching, and buddying schemes Leadership development programmes to help you grow with us Regular check ins and performance conversations - driven by your goals, not just metrics Compliance & Equal Opportunities In addition to the responsibilities listed above, you will be required to undertake GDPR training in order to fully understand the regulations and ensure all work is carried out in a compliant manner. BKL is an equal opportunities employer and positively encourages applications from suitably qualified candidates eligible to work in the UK. High Challenge, High Support If you enjoy problem solving and a fast changing environment, you will thrive in this role. As in all BKL roles, you will be able to take a flexible approach: balancing independent work with teamwork, and remote working with time in the office with colleagues. You can get an insight into life at BKL. We're proud to be one of the few Certified B Corporations in the accountancy sector. In joining us, you'll become part of a business that's committed to balancing profit and purpose. Take Your Next Step Ready to grow your career with a company that balances ambition with purpose? Apply today and discover how far you can go at BKL. By applying, you consent to the processing of your personal data for recruitment purposes, in line with UK GDPR. Your information will be used securely, only for recruitment, and won't be shared without your consent. For details, see our Privacy Policy - BKL.

About Ripjar Ripjar specialises in the development of software and data products that help governments and organisations combat serious financial crime. Our technology is used to identify criminal activity such as money laundering and terrorist financing, enabling organisations to enforce sanctions at scale to help combat rogue entities and state actors. Data infuses everything Ripjar does. We work with a wide variety of datasets of all scales, including an ever growing archive of billions of news articles covering most languages going back over 30 years, sanctions and watchlist data provided by governments, and vast organisation and ownership datasets. About the Role We see a Data Engineer as a software engineer who specialises in distributed data systems. You'll join the Data Engineering team, whose prime responsibility is the development and operation of the Data Collection Hub, a platform that ingests data from many sources, processes/enriches it, and distributes it to multiple downstream systems. We're looking for someone with 2+ years of industry experience building and operating production software who enjoys working across data pipelines, distributed systems, and operational reliability. What you'll do Engineer distributed ingestion services that reliably pull data from diverse sources, handle messy real world edge cases, and deliver clean, well structured outputs to multiple downstream products. Build high throughput processing components (batch and/or near real time) with a focus on performance, scalability, and predictable cost, using strong profiling and measurement practices. Design and evolve data contracts (schemas, validation rules, versioning, backward compatibility) so downstream teams can build with confidence. Own production quality: write maintainable code, strong unit/integration tests, and add the observability you need (metrics/logs/tracing) to diagnose issues quickly. Improve platform reliability by hardening pipelines against partial failures, retries, rate limits, data drift, and infrastructure issues-then codify those learnings into better tooling and guardrails. Contribute to CI/CD and developer experience: faster builds, better test signal, safer releases, and automated operational checks. Participate in design reviews, code reviews, incident retrospectives, and iterative delivery-making pragmatic trade offs and documenting them clearly. Technology Stack Languages: Predominantly Python and Node.js Distributed/data platforms: HDFS, HBase, Spark, plus increasing use of Kubernetes and cloud services Storage/search: MongoDB, OpenSearch Orchestration: Airflow, Dagster, NiFi Tooling: GitHub, GitHub Actions, Rundeck, Jira, Confluence Deployment/config: Ansible (physical), Terraform / Argo CD / Helm (Kubernetes) Development environment: MacBook (typical) Essential: 2+ years building and operating production software systems Fluency in at least one programming language (Python/Node.js a plus) Experience debugging moderately complex systems and improving reliability/performance Strong fundamentals: data structures, testing, version control, Linux basics Nice to have: Spark/PySpark experience Hadoop ecosystem exposure (HDFS/HBase) Workflow orchestration (Airflow/Dagster/NiFi) Search/indexing (OpenSearch, MongoDB) Kubernetes and infrastructure as code Degree in Computer Science or numerical degree Competitive salary DOE 25 days annual leave + your birthday off, in addition to bank holidays, rising to 30 days after 5 years of service. Remote working Private Family Healthcare. 35 hour working week. Employee Assistance Programme. Company contributions to your pension. Pension salary sacrifice. Enhanced maternity/paternity pay. The latest tech including a top of the range MacBook Pro.

Senior engineering at Opus 2 is hands-on, high-trust, and end-to-end. You'll lead complex, often ambiguous work from problem to production, raise the bar on the team around you, and help shape how we build software in a moment where AI is changing the work week to week. We're not looking for someone who'll watch that change from the sidelines. You can grow toward Staff or Principal from here. This is an IC role, and the day-to-day is engineering with influence, not management. What you'll be doing Lead complex, often ambiguous features and projects end-to-end. Discovery, breakdown, shipping in slices, and seeing it land for customers. Partner with Product and Design to translate user needs into pragmatic, well-scoped technical work. Call tradeoffs early. Keep the roadmap honest about what's feasible. Raise the bar on the team around you, and beyond. Thoughtful code review, pairing where it helps, mentoring mid-level and junior engineers. The kind of "shows the team what good looks like" presence that compounds over time and gets noticed across squads beyond your own. Own quality and operability. CI/CD, test automation, observability, post-incident learning. Part of the work, not someone else's job. Make architectural and tech-stack calls that hold up. Favour maintainable, scalable, simple solutions over clever ones, and design with operability and change in mind. Use AI to raise quality, speed, and productivity. You don't need to be an ML researcher, but you should be using AI tools well across the SDLC: in your own workflow, in product exploration, and in helping the squad adopt them safely. Help shape engineering strategy with Tech Leads and Engineering Managers. Architecture, scalability, how the team works, where we invest. The shape we're hiring for We're hiring T-shaped engineers: broad across the stack, deep in at least one area (backend, frontend, data, infra, AI/ML, or another domain where you can show real expertise). We care more about how you think than how many tools you've used. Depth in something. You can name a domain where you're the person colleagues come to. Breadth that lets you ship end-to-end. "That's not my layer" isn't in your vocabulary when a feature spans frontend, API, data, and deployment. Ownership that runs from idea to production and into how it operates. You're accountable for outcomes, not just output, and you don't drop work at the merge button. Steadiness under pressure. You're a stabilising presence when delivery is uncertain or the goal is moving: calm, structured, and clear about what's known. Coaching disposition. You explain things clearly, give review feedback that grows people, and lift the team's median rather than just its peak. You also receive feedback without defensiveness and treat it as fuel for visible growth. Change disposition. You treat the AI-driven shift in software as the job rather than disruption to it. You learn fast, change your mind when the evidence does, and help colleagues do the same. You'll be a strong fit if You've shipped, operated, and iterated on real software at meaningful scale. Not just built it, but lived with it. You're comfortable across the stack with at least one of: TypeScript, Python, Java, or Go. You've worked with cloud platforms (AWS preferred; transferable experience welcome) and understand the operational side of running services in production. You enjoy working with Product and Design as partners who shape what gets built, rather than as a service desk that hands you tickets. You're curious about AI tooling and product applications, and you want to help build a learning culture rather than wait for a training catalogue. You might be a less good fit if You want to specialise narrowly and not branch outside your home stack. You'd prefer fully-specified tickets you can implement without much conversation. You'd rather not spend time growing colleagues. At this level, that's a core part of seniority. You're sceptical of AI tooling on principle and would rather wait to see whether it settles before engaging. At this level we expect you to be helping the squad work out what good looks like. You find rapid change in tools and ways of working draining rather than energising. You're looking for a fast track to management. This role is about technical growth. How we work Opus 2 builds the platform that leading legal teams use to run their most complex work: a distributed, multi-tenant SaaS platform with API-first surfaces, where security, privacy, and compliance are first-class concerns. The stakes for our customers are real, so we care about quality. We also move fast and ship, because the alternative is irrelevance. Strong ownership. Squads own their products end-to-end, from the customer outcome through to operating them in production. Pragmatic engineering. We favour simple, testable solutions over premature abstraction. We use data where it informs a real decision. A learning and improvement culture. We're building an engineering organisation that learns and adapts at the pace AI is forcing on the work. That's the bar for hiring, growth, and how we run the team. Coaching as part of seniority. Senior engineers help juniors, mid-levels, and each other grow. We protect that time on calendars. A work in progress Opus 2 is in real transition. AI is reshaping how our customers work and how we build software, and we're investing in the engineering organisation to keep pace. Some of that is already settled; other parts are still being shaped. If you want a fully paved path, this isn't it yet. If you want to be an agent of change in a team that's clear about where it's going and pragmatic about how to get there, there's real leverage here. We're hiring people who'll help us shape this, not just slot into it. Tech you'll work with We pick tools to fit the problem, and we have a clear sense of where we're heading. On the backend we're investing in Python, Go, and TypeScript. Java and PHP are in established parts of the platform and we'll keep them well-tended where it makes sense. If you light up about Python or Go, you're in the right place. Backend: Python, Go, TypeScript (where we're investing); Java and PHP (established services) Frontend: React Deployment: Kubernetes primary; serverless where it's the better fit Cloud: AWS Data: Postgres, MongoDB, OpenSearch / Elasticsearch, vector stores AI: GenAI features already in production (LLMs, retrieval, agentic workflows), with more on the way You don't need to know all of these on day one. You should be ready to learn what you don't. Working for Opus 2 Senior engineering work at a company where AI is real, in production, and a core part of how customers get value. Not a side-of-desk experiment. A focused engineering organisation where your work is visible, your decisions matter, and the path from idea to customer is short. Investment in your growth: coaching, learning time, exposure to challenging problems, and a clear IC track if you want to keep deepening technically. Contributory pension plan. 33 days annual holidays, flexible working, and length of service entitlement. Health Insurance. Loyalty Share Scheme. Enhanced Maternity and Paternity. Employee Assistance Programme. Electric Vehicle Salary Sacrifice. Cycle to Work Scheme. Calm and Mindfulness sessions. A day of leave to volunteer for charity or dependent day. Regular Company Social Events. Yearly Development Retreat.

Staff Cloud Infrastructure Engineer at Restate Restate (restate.dev) is a lightweight runtime that turns AI agents, workflows, and backend services into durable processes - so teams can focus on their logic, not failure mechanics. The role: We're looking for a Senior to Staff-level cloud infrastructure engineer to work across all product pillars (OSS, on-prem deployments, Multi-tenant SaaS, BYOC; bring your own cloud). This means deep work in our Rust-based infrastructure layer, integrating with cloud provider APIs, building infrastructure-as-code tooling, and ensuring reliability and security at scale. You'll have significant ownership over major parts of our cloud infrastructure. The opportunity Front-row seat to the biggest infra shift in decades Durable runtimes like Restate are becoming the next foundational infrastructure component - and increasingly a critical piece for AI applications. As systems become more agentic, long-running, integration-heavy, and failure-prone, durable execution turns reliability from a bespoke engineering tax into a default property. In this role, you're not watching that shift from the sidelines - you help build the platform that enables it. State-of-the-art tech, built from first principles Restate re-imagines durable execution as a lightweight self-contained stack - no database required - and ships as a single Rust binary with an optimized custom storage layer, low latency orchestration, and an analytics engine for observability. Enterprise Traction: Restate is already used by Fortune 500 companies, including Tier 1 banks running critical financial workflows, and also by cutting-edge AI and infra startups pushing the boundary of what "production-grade agents" mean. You'll work on problems where reliability, correctness, and operational simplicity are existential. Work with world-class engineers: You'll partner directly with engineers who've built and operated foundational systems at scale - creators of Apache Flink, and leaders from Meta's messaging infrastructure. You'll have the chance to work with incredibly talented individuals who care deeply about their craft. What you'll do This is a Cloud Infrastructure Engineering role spanning Restate's product offering: OSS, on-prem deployments, Multi-tenant SaaS, BYOC. The scope of the role includes but is not limited to: Build and operate Restate Cloud: extend our managed multi-tenant offering, working across the infrastructure, control plane, networking, storage, and observability of Restate workloads. Evolve our BYOC product and work with customers on operating on-prem installations: design and build the infrastructure that runs inside customer cloud accounts. Reliability and observability across the fleet: SLOs, metrics, traces, logs, alerting, and runbooks. Build automation so we can scale our product offering across deployment methods. On-call: participate in the cloud on-call rotation. A US-based hire materially improves our timezone coverage. What we're looking for Senior to Staff profile We're targeting Senior-to-Staff: you've operated production SaaS or platform infrastructure before, you've seen real failure modes, and you have (strong) opinions about how to run multi-tenant systems. You have an appreciation for operating in a compliance-sensitive environment. Must-Haves: Strong cloud infrastructure background with deep understanding of major cloud provider architectures. Experience with infrastructure-as-code and cloud orchestration, particularly Kubernetes-based stateful workloads; balancing continuous delivery with safety while maintaining large-scale production systems. Software engineering skills in a systems language (Rust, Go, C++); willingness and ability to learn Rust on the job. You should be comfortable taking ownership end-to-end, from design through production operations, and thrive in early-stage startup ambiguity. Nice-to-Haves: Prior experience with Restate or durable execution specifically. Deep enterprise procurement/compliance navigation. Kubernetes operator development, experience with IaC systems like Cluster API, Crossplane or Terraform. Not a fit: You want to work primarily on the runtime core rather than cloud, BYOC, and customer-facing infra. You've mostly architected and reviewed, and aren't excited to be hands-on. You are averse to multi-cloud, Kubernetes, operating infrastructure as a shared responsibility with customers. Our stack: We use Restate extensively: the Restate Cloud control plane is built on Restate and TypeScript. Rust infrastructure services and Kubernetes operators. Location and travel: US-based, fully remote. East Coast is a plus as it would materially improve our on-call coverage given the team's existing geography. Travel: minimal - occasional team offsites, little required customer travel.

About Allica Bank Allica is the UK's fastest growing company - and the fastest-growing financial technology (Fintech) firm ever. Our purpose is to help established SMEs, one of the last major underserved opportunities in Fintech. Established SMEs are the backbone of local communities - representing over a third of our economy - yet have been largely neglected both by traditional high street banks and modern fintech providers. Technology sits at the centre of Allica. We design and build the platforms that power the bank, working closely with every part of the business to deliver real impact for customers. Our teams move quickly, focus on outcomes, and take ownership from concept through to delivery. We solve complex problems, modernise processes, and enable the business to scale with confidence. What makes us different is the level of influence and autonomy engineers have. We work without the weight of legacy systems, which means we can focus on building for the future. Everyone contributes ideas and helps shape how we operate, and roles evolve as the organisation grows. This is a place for people who want to have a tangible impact and do their best work in a modern, collaborative environment. Role Description The Full Stack Engineer contributes to the design and delivery of products within a squad, helping to build secure, reliable, and accessible software while maintaining high engineering standards and a good developer experience. You will use your skills in Spring Boot microservices (Kotlin/Java) and modern web technologies (React/TypeScript) to deliver features across the stack. Our backend services run as containerised applications on Azure Container Apps, and our web applications are deployed via Azure Static Web Apps; you will help ensure the services and applications you work on are production ready and make effective use of these platforms. You will contribute to good engineering practices in observability, CI/CD, security, performance, and accessibility, helping systems meet the standards expected of a UK bank. You will contribute to Architecture Decision Records (ADRs) and follow organisation wide patterns and standards. You are hands on and collaborative: you help design features, write code, review changes, and work closely with engineers, Product, and Design to deliver valuable outcomes. You use approved GenAI tools such as GitHub Copilot, Codex or Claude Code responsibly to improve productivity and quality, while validating outputs carefully. Success in this role is measured by the consistent delivery of high quality features, contribution to reliable and maintainable systems, improvements to the codebase and operational health of services, and your growth in technical capability and ownership. Responsibilities Contribute to the end to end design and delivery of features across the full stack using backend Kotlin/Java Spring Boot microservices, containerised and deployed on Azure Container Apps, exposing REST/OpenAPI APIs and integrating with other services and data stores; frontend using React/TypeScript, shared design system components, and agreed architectural patterns deployed on Azure Static Web Apps. Participate in technical design discussions and produce clear ADRs for significant decisions, documenting context, options, trade offs, and outcomes in line with organisation standards. Support the squad's services in production by contributing to SLOs and operational metrics, monitoring systems, responding to incidents, and helping to reduce recurring issues and improve reliability. Apply secure and compliant engineering practices: follow secure coding standards, contribute to threat modelling activities, ensure logging, audit trails, and data handling meet regulatory and privacy requirements, and ensure accessibility standards are met in user facing features. Strengthen observability and operational excellence within the squad by contributing to metrics, tracing, logs, dashboards, runbooks, and alerts, and using them effectively in day to day engineering work. Improve developer experience: contribute to CI/CD pipelines, test strategy, local development workflows, release practices, and other developer experience initiatives in line with wider engineering standards and cloud deployment patterns. Use AI assisted engineering responsibly: validate and refine AI generated code to ensure correctness, maintainability, and compliance; share feedback and effective practices with the team. Collaborate closely with Product Managers and Designers to understand requirements, shape practical solutions, and deliver work aligned to product goals and timelines. Support other engineers through pairing, code review, and knowledge sharing, contributing positively to the growth and effectiveness of the squad. Qualifications Experience building and operating Spring Boot microservices in Kotlin or Java, including REST APIs, integrations, and containerised deployments on a major cloud platform (Azure preferred; AWS or Google Cloud also relevant). Good knowledge of React and TypeScript, with practical experience building accessible, maintainable, and performant user interfaces. Ability to design and deliver well structured features within an existing architecture, with an understanding of trade offs around scalability, maintainability, and delivery pace. Good understanding of distributed systems fundamentals appropriate to microservices, such as resilience, latency, and failure handling. Good understanding of secure coding practices, privacy considerations, and security expectations for production systems. Experience with testing, CI/CD pipelines, and observability tooling; familiarity with Azure DevOps Pipelines and Azure deployment services is beneficial. Ability to improve code quality through refactoring, clearer abstractions, and maintaining sensible boundaries between modules and services. Experience collaborating through code review, pairing, and technical discussions to help improve team outcomes. Experience using GenAI tools such as GitHub Copilot, Codex or Claude Code to improve productivity and code quality, with a clear understanding of their limitations and the need for review and validation. Strong communication and collaboration skills, with the ability to work effectively with engineers, Product Design, and other stakeholders. Benefits Full onboarding support and continued development opportunities Options for flexible working Regular social activities Pension contributions Discretionary bonus scheme Private health cover Life assurance Family friendly policies including enhanced Maternity & Paternity leave

Role: Senior Site Reliability Engineer (SRE) - Kubernetes / OpenShift Location: Remote - UK (possible paid occasional travel to TIG Secure site locations as required) Job Type: Full-time, Permanent (37.5 hours) Salary: Competitive + benefits + package Security Clearance Requirements Please note that holding a current Security Clearance is not essential at the time of application, but eligibility is required. This role requires the successful candidate to be eligible for Security Check (SC) clearance. To meet this requirement, applicants must: Have the right to work in the UK Have lived in the UK continuously for the past 5 years Not have spent more than 6 months outside the UK in total during that period Be willing to undergo security vetting as part of the onboarding process About You You're an experienced SRE, Platform Engineer or Cloud Engineer with strong hands on experience running Kubernetes in production environments. You're comfortable working across Linux, Kubernetes, cloud native tooling, automation, observability, CI/CD and infrastructure as code. You understand that reliability, security and operational maturity are critical to how modern platforms support engineering teams and customer facing services. You enjoy treating infrastructure as a product, automating repeatable work, improving resilience, and building platforms that other engineers can rely on. You're calm under pressure, methodical during incidents, and able to turn operational challenges into long term improvements. You may have worked in a regulated, secure, government, defence, financial services, telecoms, managed services or cloud native environment, but most importantly you have operated Kubernetes at depth and understand the realities of production ownership. You're a senior individual contributor who can mentor others, influence engineering practice, and provide technical authority without needing formal line management responsibility. About the Role We're looking for a Senior Site Reliability Engineer (SRE) to help operate, harden and mature our production OKD / Kubernetes platforms. This is a hands on engineering role focused on reliability, automation, observability, GitOps, CI/CD and secure platform operations. You'll work across the full stack, from bare metal and virtualisation through to Kubernetes control plane operations, ingress, identity, monitoring, developer platform tooling and application delivery. The role will play a key part in improving the operational maturity of our platform estate, supporting the migration from VMware to KVM, strengthening GitOps and CI/CD practices, and helping ensure our platforms remain secure, scalable and aligned to the needs of regulated customer environments. You'll work closely with platform, application, AI, networking, security, QA and architecture teams to build reliable foundations that enable other engineering teams to deliver safely and at pace. This is not a ticket handling role. It is a senior engineering position where you'll be expected to own problems, drive improvements, and help shape how TIG operates critical cloud native infrastructure. About the Team You'll be joining our Cloud team, working closely with Platform Engineering and wider engineering teams responsible for the foundational platforms on which TIG's services run. This is a great opportunity to join a small, senior technical environment where you can have direct ownership, meaningful influence, and visibility across modern platform engineering, Kubernetes, automation, observability, security and cloud native delivery. Key Responsibilities Operate, harden and extend production OpenShift / OKD / Kubernetes clusters across on premises and hybrid environments. Support the migration from VMware to KVM, helping modernise the underlying compute and storage layer. Own and improve CI/CD processes across the full lifecycle of platform and application components. Work with platform and application engineers to support cloud native delivery using tools such as Helm and Kustomize. Develop and mature GitOps deployment practices using tools such as Argo CD or Flux. Maintain and improve core platform services including identity, ingress, observability, certificate management, service mesh and container registry capabilities. Build and operate observability across logs, metrics, traces, alerting, SLOs and error budgets. Improve platform hardening in line with secure and regulated environment requirements, including network policy, SELinux, image provenance, secret management and audit. Automate repeatable operational tasks using tools such as Ansible, Terraform, Helm, Kustomize, Go, Python or equivalent technologies. Lead incident response activity, support blameless post mortems and drive systemic fixes. Partner with networking and security teams on platform integration, segmentation, load balancing and accreditation evidence. Create and maintain clear technical documentation, runbooks, design notes and operational guidance. Mentor other engineers and act as a senior technical authority across cloud and Kubernetes operations. Participate in an on call rota, with appropriate compensation. Success in This Role Looks Like A more reliable, secure and measurable production Kubernetes estate. Improved platform observability, with meaningful alerting, SLOs and trend data that engineering teams actively use. Progress against the VMware to KVM migration, with a clear and automated path for the underlying infrastructure layer. A mature GitOps approach covering platform and application components, including rollback, drift detection and operational control. Improved CI/CD practices that help teams move at pace while considering security, QA and compliance earlier in the lifecycle. Well documented, supportable and scalable platform services. Stronger incident response, clearer runbooks and post mortems that lead to real operational improvements. Recognition as a technical authority for Kubernetes, cloud and platform operations across the organisation. What We're Looking For We're looking for a Senior Site Reliability Engineer (SRE) with strong experience operating production Kubernetes environments. This role is well suited to someone who combines deep technical capability with strong operational discipline. You'll be comfortable taking ownership of complex platform challenges, improving reliability, and working collaboratively across engineering, security, networking and architecture teams. Essential Experience & Skills Strong experience running production Kubernetes environments, not just consuming or deploying into them. Strong Linux fundamentals, including systemd, networking, storage and performance troubleshooting. Experience with at least one Kubernetes distribution such as OKD, OpenShift, vanilla Kubernetes, Rancher, EKS, AKS or GKE. Solid infrastructure as code experience, including Ansible plus Terraform or equivalent, alongside tools such as Helm and Kustomize. GitOps and CI/CD experience managing full application and component lifecycles, using tools such as Argo CD, Flux, GitHub Actions or similar. Prometheus, Grafana, Elastic Stack / LGTM, OpenTelemetry or similar. Experience working with identity and access technologies such as OIDC, SAML, SCIM or Keycloak. Experience with virtualisation or infrastructure platforms such as KVM, libvirt or VMware. Scripting or tooling experience using Go, Python, shell scripting or similar. Strong troubleshooting, problem solving and analytical skills. Experience working in secure, regulated or enterprise scale environments. Strong communication skills, with the ability to produce clear documentation, runbooks, post mortems and technical guidance. Eligible to hold UK SC clearance. Desirable (Not Essential) Specific OpenShift or OKD experience, including operators, MachineConfig or SCCs. Service mesh experience such as Istio or Linkerd. Policy engine experience such as OPA, Gatekeeper or Kyverno. Cloud native application deployment experience using Helm, Terraform, Kustomize or similar. Storage experience such as Ceph, Longhorn, OpenShift Data Foundation or equivalent. Networking experience including BGP, VXLAN, Palo Alto or Juniper technologies. Software supply chain security experience, including SBOMs, image signing, admission control or tools such as Sigstore. Experience operating AI, ML or GPU enabled platforms. CKA, CKAD, CKS, Red Hat certifications or equivalent. Active or recent UK SC clearance. Recognised open source contributions to the Kubernetes ecosystem. Soft Skills & Behaviours Calm, structured and methodical under pressure. Strong written and verbal communication skills. Collaborative working style across platform, development, QA, security, networking and architecture teams. Strong sense of ownership and accountability. Automation first mindset, with a focus on removing repeatable manual work. Able to influence technical practice through evidence, example and credibility. Pragmatic and solutions focused approach to problem solving. Curious about why systems fail, not just how to bring them back online. . click apply for full job details