Trabajos reliability engineer en Reino Unido - Page 14

Principal Software Engineer Location: London - 1x a month An established, global technology business within the hospitality-tech industry is seeking an accomplished Principal Software Engineer to lead the design and delivery of next-generation digital solutions. This is an opportunity to shape greenfield projects from the ground up - architecting scalable, data-driven systems that empower venues to deliver seamless guest experiences and drive long-term innovation. Lead the technical vision and architectural direction across complex backend systems, ensuring scalability, reliability, and performance. Partner closely with engineering leadership to define best practices, coding standards, and long-term technical strategy. Design, develop, and oversee the delivery of robust, production-grade software built using Python, Django, Cloud Firestore, BigQuery, and Elasticsearch. Collaborate with cross-functional teams - including product, data, and design - to deliver innovative solutions that directly impact customer success. Evaluate and implement emerging technologies that enhance system performance and developer productivity. ~ Degree in Computer Science or equivalent hands-on experience. ~7+ years' experience in backend software development, including several years in a senior or principal-level engineering role. ~ Expertise in Python (or a similar backend language), with proven experience designing distributed systems, APIs, and microservices at scale. ~ Deep understanding of software architecture, cloud infrastructure (Google Cloud, AWS, or Azure), and modern DevOps practices. ~ Strong knowledge of data structures, algorithms, and system design principles. ~ Demonstrated experience influencing technical direction across teams and driving alignment on complex engineering decisions. ~ Passion for delivering elegant, high-performance software and solving complex technical challenges that impact real users. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.

Our client is a highly successful global investment management firm recognised for its sophisticated use of technology and data to drive performance. Their engineering teams operate at scale, delivering secure, high-performing infrastructure that underpins global trading operations. Theyre now looking for a Senior Platform Engineer to take ownership of Windows-based systems and lead the charge on automation, reliability, and scalability initiatives. Work with some of the brightest engineers in finance and technology. Lead high-impact infrastructure projects with autonomy and visibility across the business. Exposure to modern tech: Azure, AWS, VMware, IaC, PowerShell automation, and more. A collaborative, high-performance culture with a focus on engineering excellence. Competitive compensation package with excellent benefits and performance-related rewards. Drive end-to-end delivery of Windows infrastructure projects from technical design and architecture through to implementation, testing, and operational rollout. Own and evolve core Windows Server services, including Active Directory, Group Policy, DNS, DHCP, and file/print systems, ensuring stability and performance across the estate. Design and deliver scalable, secure infrastructure solutions across hybrid environments leveraging on-prem virtualisation (VMware, Hyper-V, VDI) and public cloud platforms (Azure, AWS). Champion automation and Infrastructure as Code, building self-service, repeatable solutions that eliminate manual effort and accelerate delivery. Proactively enhance system reliability, performance, and security through continuous improvement and smart engineering decisions. Deep technical expertise in Windows Server administration and enterprise-scale infrastructure. Proven experience leading complex upgrades, migrations, and deployments with minimal downtime. Strong command of virtualisation technologies (VMware, Hyper-V, VDI) and cloud platforms (Azure, AWS). If youre a hands-on engineer who thrives on solving complex infrastructure challenges and driving meaningful change in a high-performance environment, wed love to hear from you.

Senior Platform Engineer £Join one of the UK's leading online retailers as they evolve their next-generation data platform. This is an opportunity to shape the backbone of a modern data ecosystem, empowering analysts, ML engineers, and data scientists to deliver smarter, faster insights at scale. You'll play a key role in designing and engineering platform services that treat data as a core product. This means building scalable, secure, and observable systems that help teams confidently leverage data across the business. You'll work closely with a wide range of technical and non-technical partners to deliver resilient infrastructure, champion data governance, and mentor others in engineering excellence. Shape the data platform roadmap: Introduce modern observability, quality, and governance frameworks that elevate how teams access and trust data. Develop services, APIs, and data pipelines using modern cloud tooling and automation-first principles. Implement CI/CD pipelines, testing frameworks, and container-based deployments to ensure reliability and repeatability. Collaborate with product engineers, data scientists, and ML practitioners to understand their workflows and deliver high-impact platform solutions. Proactively monitor system performance, automate incident response, and strengthen platform resilience. Strong proficiency in Python (or a similar high-level language) with a deep understanding of software engineering best practices - testing, automation, clean code, and CI/CD. Proven track record building and maintaining scalable data platforms in production, enabling advanced users such as ML and analytics engineers. Hands-on experience with modern data stack tools - Airflow, DBT, Databricks, and data catalogue/observability solutions like Monte Carlo, Atlan, or DataHub. Solid understanding of cloud environments (AWS or GCP), including IAM, S3, ECS, RDS, or equivalent services. Experience rolling out data governance and observability frameworks, including lineage tracking, SLAs, and data quality monitoring. Familiarity with modern data lake table formats such as Delta Lake, Iceberg, or Hudi.

Role: Staff Software Engineer (Rust & AI Inference) Location: London (23 days a week onsite) Compensation: Up to 160,000 + equity Were supporting an emerging deep tech company building high-performance infrastructure to support AI model deployment at scale. Theyre focused on enabling enterprises to run advanced AI systems in production, with a strong emphasis on privacy, performance, and full-stack control. This is a hands-on senior IC role for an engineer who thrives in low-latency, compute-intensive environments, and enjoys mentoring others. Youll play a key role in shaping the core inference layer powering complex real-time AI workflows. If you're excited by the challenge of optimising distributed systems, designing for reliability, and scaling cutting-edge AI applications, this could be the role for you. You'll be: Building scalable, low-latency LLM inference infrastructure Optimising performance with caching, quantisation, and speculative decoding Contributing to core systems in Rust (we are happy for individuals to lean this on the job) Designing distributed GPU orchestration and inference servers Mentoring engineers and influencing technical direction across the team You should bring: ~5+ years software engineering experience, with deep backend/system-level experience ~ Strong coding skills in a typed systems languages like C++ / Go / Rust (would also consider Python) ~ Familiarity with Kubernetes, and cloud infra ~ A strong engineering mindset with a bias for clean abstractions, reliability, and performance Bonus points for: Experience deploying open-source LLMs or VLMs in production Experience with ML inference systems, PyTorch, Triton, or CUDA kernels Background in document intelligence, enterprise search, or NLP pipelines Prior exposure to multi-agent systems or complex orchestration workflows This is a high-impact, high-autonomy role in a technically elite team thats pushing the boundaries of whats possible in AI infrastructure.

We are working with , a London-based start-up using agentic AI to automate and disrupt the $210BN supply chain and freight forwarding industry. We're helping them hire a Founding AI Engineer . Their investors have backed AI leaders like Synthesia, Genie AI, Superlinked, Plain, Signal AI, Dust.Founded in early 2025 by supply chain and AI experts, they are looking for ambitious, mission-driven builders to join them in creating the next generation of automation technology from the ground up and redefine the global supply chain. As Nexcades Founding AI Engineer, you will play a foundational role in shaping the product and company, as you build and refine AI-driven agents for workflow automation and decision-making in supply chain operations. Your work will focus on integrating, orchestrating, and optimising AI systems to interact dynamically with real-world business processes. This is a full-time position working in the Kennington, London office 4+ days per week. Develop & optimise AI-driven agents for real-time automation Work closely with founders, product engineers, and customers to understand pain points and design AI workflows that create real-world value Integrate AI models into operational workflows Monitor & improve AI performance with feedback loops and observability tools Collaborate with Data Engineers to ensure AI has accurate, real-time data Exceptional Python skills and experience with LLM-powered AI orchestration frameworks (e.g., Experience in AI-driven automation & orchestration in production environments Proven ability to optimise AI agents for reliability and efficiency Familiarity with data pipelines & integrations Interest in AI process automation & workflow design Seek every opportunity for growth. Compensation and Benefits ~ 30 days annual leave ~ Pension through Penfold ~ Employee health insurance ~ Monthly gym & health allowance ~ Cycle to work scheme ~ Enhanced parental leave ~ The satisfaction of building a world-class AI-powered product with a great team Introductory chat with one of the founders (45 mins - remote) #

Senior Machine Learning Engineer x2 days a week on UK client site, optional London HQ visits Were partnering with a specialist AI and data consultancy that designs and deploys bespoke machine learning systems across sectors such as national security, defence, critical infrastructure, and digital public services. Their focus is on delivering safe, production-grade AI solutions that drive real-world outcomes for complex, high-stakes environments. This is a fast-paced, technically elite environment, ideal for someone who thrives on solving operational challenges, building robust MLOps infrastructure, and leading the delivery of AI systems at scale. As a Senior Machine Learning Engineer, youll be part of cross-functional delivery teams working on technically complex, high-impact AI projects. Youll play a central role in designing and building the ML architecture (from infrastructure and deployment to tooling and automation) to ensure that solutions are not only technically sound, but also scalable, maintainable, and secure. Youll work alongside data scientists, engineers, designers, and product stakeholders often embedded within mission-critical delivery environments. Lead the design and build of production-ready machine learning pipelines and systems Develop infrastructure and tooling to enable deployment, monitoring, and retraining of ML models Work across the full AI delivery lifecycle, from architecture and integration to performance optimisation Mentor junior engineers and shape internal technical standards for software quality, reliability, and reproducibility Strong software engineering skills, especially in Python. Experience building robust systems for ML applications Proven track record deploying machine learning models in production (using frameworks such as Scikit-learn, TensorFlow, or PyTorch) AWS, Azure, GCP) and a good understanding of architecture, security, and scaling Solid grasp of ML fundamentals: supervised/unsupervised learning, statistical modelling, evaluation A pragmatic approach to engineering capable of balancing speed, risk, and delivery in complex environments

Senior Software Engineer (Data-Centric) Manchester or South London (Hybrid 2 x a week in office) 70,000 85,000 + 10% bonus + excellent benefits Our client is a global self-defence intelligence and technology organisation helping governments and defence agencies act with confidence. They use AI, graph databases, cloud, and search technologies to deliver faster, smarter decision-making. Were seeking a Senior Software Engineer to join a growing, cross-functional technology team. Design, develop, and deliver high-quality, scalable software solutions. Work within an agile team on applications, APIs, and services used globally. Develop in one or more core technology areas: Graph databases (GraphDB, Neo4j) Search technologies (ElasticSearch, OpenSearch, SOLR) ML/AI frameworks (SageMaker, Bedrock) Cloud-based data engineering (AWS) Build and maintain cloud-native data pipelines, ensuring data quality, accuracy, and reliability. 5+ years experience in software or backend engineering. ~ Proven ability to deliver reliable, scalable systems using cloud technologies (AWS preferred). ~ Experience with complex data systems - structured, unstructured, or graph-based. ~ Work on advanced data and intelligence platforms that have global impact. Join a modern, agile technology organisation where innovation is encouraged and rewarded. Help shape the next generation of open-source intelligence technology.

Responsibilities for the Contract Site Reliability Engineer (Algorithmic Trading) - Deploy applications following best practices and manage vendor relationships - Monitor and troubleshoot systems proactively, owning reliability improvements - Work closely with trading teams to understand the full t

Job Description The Engineer will provide a range of support which may include technical difficulties, working with vendors to overcome intrinsic issues, working with site operations teams to improve usage and efficiency aspects, and identifying any areas for improvement.

Job Description Heart Mind Talent are partnering with Verified Global to hire a Reliability & Operations Engineer based in Central London. You’ll sit at the heartbeat of our daily operations, monitoring systems and content pipelines, resolving issues in real time, and automating workflows to help

Founding Site Reliability Engineer | Stealth Fintech | London | Up to £200k + Equity | London (Min 4 days per week in office) Maze is partnering with a stealth-mode startup that's rebuilding core banking from the ground up. We're looking for a Founding Site Reliability Engineer to drive the infras

The Engineer will provide a range of support which may include technical difficulties, working with vendors to overcome intrinsic issues, working with site operations teams to improve usage and efficiency aspects, and identifying any areas for improvement.

I am looking for a number of SREs for a large-scale digital organisation in the middle of a major engineering modernisation journey. This is not a BAU support role, this is a chance to help define what "good" looks like as SRE is brought fully in-house for the first time. Embed SRE principles to imp

Our Privacy Statement & Cookie Policy**Site Reliability Engineer page is loaded## Site Reliability Engineerremote type: Remote Job: Hybridlocations: GBR-London-5 Canada Squaretime type: Full timeposted on: Posted Todayjob requisition id: JREQ195152Thomson Reuters is seeking a Site Reliabil

Role- Senior Site Reliability Engineer (SRE).Location - London (onsite full-time, 5 days a week).Minimum requirement: 12+ years of profile.Core Competencies / Responsibilities.Datadog, Splunk, Dynatrace, Grafana, Prometheus, Thousand Eyes, Gremlin, etc.Efficiency in creating dashboards for Infra / A

As a Lead Site Reliability Engineer at JPMorgan Chase within the Infrastructure Platforms team, youhold a leadership role in your team, demonstrate strong knowledge across multiple technical domains, and advise others on the technical and business issues facing them.

Senior Analyst Programmer - Site Reliability Engineer page is loaded## Senior Analyst Programmer - Site Reliability Engineerlocations: FIL Bengaluru Office: Gurgaon Officetime type: Full timeposted on: 今天发布time left to apply: 结束日期：2025年10月31日 (申请时间还剩 16

With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. Proficiency in at least one programming language (Golang preferred but

Site Reliability Engineering at Duffel. As an SRE at Duffel, you’ll be part of a small team within engineering that is responsible for the reliability, performance, and resilience of our infrastructure and applications. We’re currently driving a big shift in how we think about and monitor reliab

An annual bonus award, subject to Group performance.

In this role you will be involved in managing the machine learning infrastructure, optimizing model performance, and ensuring the reliability and efficiency of machine learning operations. We are currently looking for a Machine Learning Engineer to join our in‑house Data Science team here at Harro

Amazon is looking for a Systems Development Engineer to join our Global RME (Reliability and Maintenance Engineering) Central Team in the Reliability and Automation Engineering department. System Development Engineer, Reliability and Automation Engineering. Join Amazon as a Systems Development Engin

Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault‑tolerant systems. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal e

Keep production healthy: Monitor, troubleshoot, and resolve incidents across services and infrastructure; reduce MTTR and prevent recurrences through high-quality post-incident actions. On-call experience: Demonstrated participation in a production on-call rota, effective incident communication, and

We are hiring for a next generation telecoms software company who are seeking a Network Autonomy Engineer to join their expanding team.Primary Function of the Position.Reporting to the Site Reliability Engineer Team Lead, the Site Reliability Engineer will be responsible for ensuring the reliability

Opportunity to work on high-impact, national security projects. Are you an experienced Site Reliability Engineer (SRE) with active eDV Clearance? Do you want to work on mission-critical systems that directly support UK National Security?. Maintain and improve mission-critical infrastructure for nati

Senior Machine Learning Engineer x2 days a week on UK client site, optional London HQ visits Were partnering with a specialist AI and data consultancy that designs and deploys bespoke machine learning systems across sectors such as national security, defence, critical infrastructure, and digital public services. Their focus is on delivering safe, production-grade AI solutions that drive real-world outcomes for complex, high-stakes environments. This is a fast-paced, technically elite environment, ideal for someone who thrives on solving operational challenges, building robust MLOps infrastructure, and leading the delivery of AI systems at scale. As a Senior Machine Learning Engineer, youll be part of cross-functional delivery teams working on technically complex, high-impact AI projects. Youll play a central role in designing and building the ML architecture (from infrastructure and deployment to tooling and automation) to ensure that solutions are not only technically sound, but also scalable, maintainable, and secure. Youll work alongside data scientists, engineers, designers, and product stakeholders often embedded within mission-critical delivery environments. Lead the design and build of production-ready machine learning pipelines and systems Develop infrastructure and tooling to enable deployment, monitoring, and retraining of ML models Work across the full AI delivery lifecycle, from architecture and integration to performance optimisation Mentor junior engineers and shape internal technical standards for software quality, reliability, and reproducibility Strong software engineering skills, especially in Python. Experience building robust systems for ML applications Proven track record deploying machine learning models in production (using frameworks such as Scikit-learn, TensorFlow, or PyTorch) AWS, Azure, GCP) and a good understanding of architecture, security, and scaling Solid grasp of ML fundamentals: supervised/unsupervised learning, statistical modelling, evaluation A pragmatic approach to engineering capable of balancing speed, risk, and delivery in complex environments

I am working with an exciting AI startup who are turning complex video into searchable insights - they're looking for a Software Engineer to work on the backend. Youll design scalable systems, build APIs, and deploy AI modelsturning cutting-edge research into a production-ready platform. Remote : UK Salary : Up to 50k + 1% Equity What Youll Do Build and scale backend services for video processing and search Design cloud infrastructure (AWS/GCP/Azure) for performance and reliability Set up CI/CD pipelines and observability tools Collaborate with AI researchers to integrate models into production Take a product-first approach to engineering What Youll Need ~2-4 years experience with Python (FastAPI/Flask) ~ Experience with distributed systems and cloud platforms ~ Proficiency in database design (e.g. PostgreSQL) ~ Familiarity with Docker, IaC tools (Terraform), and monitoring stacks ~ Start-up mindset Bonus: Experience with AI/ML deployment, vector databases, or video pipelines. Why Join Work on meaningful AI applications with real-world impact Enjoy flexibility, autonomy, and early equity Collaborate with a world-class, mission-driven team

Lead Backend Developer Location: London - 1x a month Salary: Up to £120,000 (D.It's an ideal role for a driven Lead Engineer who thrives in ambitious environments and wants to make a tangible impact. As a Lead Backend Engineer, you'll take ownership of designing and scaling cloud-native backend systems. You'll work primarily with Python (FastAPI) and play a key role in shaping the architecture of microservices that support millions of users. Design, develop, and optimise scalable backend services in Python, leveraging FastAPI. Lead architectural discussions with a focus on performance, scalability, and reliability. Deliver complex features end-to-end - from design through deployment and monitoring. Continuously raise the bar for engineering standards, code quality, and delivery. Shape the long-term direction of the platform's service-oriented architecture. Champion the use of AI and automation to enhance productivity across the team. Strong background building and scaling Python-based systems (FastAPI, Flask, or Django REST). Proficient with cloud platforms (AWS, GCP, Azure) and containerisation (Docker; Strong engineering fundamentals - testing, clean code, performance tuning, and algorithms. Experience with relational and non-relational databases (PostgreSQL, MongoDB). Comfortable working in agile, fast-moving environments with high ownership. Curious about new technology, with a growth mindset and interest in AI-driven tools. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, or age.

Lead Backend Developer Location: London - 1x a month Salary: Up to £120,000 (D.It's an ideal role for a driven Lead Engineer who thrives in ambitious environments and wants to make a tangible impact. As a Lead Backend Engineer, you'll take ownership of designing and scaling cloud-native backend systems. You'll work primarily with Python (FastAPI) and play a key role in shaping the architecture of microservices that support millions of users. Design, develop, and optimise scalable backend services in Python, leveraging FastAPI. Lead architectural discussions with a focus on performance, scalability, and reliability. Deliver complex features end-to-end - from design through deployment and monitoring. Continuously raise the bar for engineering standards, code quality, and delivery. Shape the long-term direction of the platform's service-oriented architecture. Champion the use of AI and automation to enhance productivity across the team. Strong background building and scaling Python-based systems (FastAPI, Flask, or Django REST). Proficient with cloud platforms (AWS, GCP, Azure) and containerisation (Docker; Strong engineering fundamentals - testing, clean code, performance tuning, and algorithms. Experience with relational and non-relational databases (PostgreSQL, MongoDB). Comfortable working in agile, fast-moving environments with high ownership. Curious about new technology, with a growth mindset and interest in AI-driven tools. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, or age.

Trading Software Engineer - Systematic Market Maker Location: London (onsite 4 days) 375k++ total compensation Quant capital is urgently looking for a Software Developer to join a prestigious market maker. This role sits in a highly autonomous engineering team building performance-critical trading systems that power both OTC and exchange-based strategies across global markets. This is a role that suits those who have been working on high performance systems at the very highest level. This is a hands-on dev position focused on building pricing engines, market connectivity, execution logic, and real-time controls. You'll work directly with researchers and analysts, deploying models into production and designing architecture that balances performance and flexibility. Build and maintain low-latency trading platforms across asset classes Design pricing and risk logic, market data processing, and order handling Optimise data flow and system throughput under real-time constraints Implement core components in Kotlin (some C++ and legacy Python/Java) Engineer for reliability, testing, monitoring and rapid fault recovery Advanced experience in Kotlin or Java (Other languages considered C#/F#/C++) Deep familiarity with Linux environments and system-level APIs Finance experience not required, but curiosity helps

Senior Platform Engineer £Join one of the UK's leading online retailers as they evolve their next-generation data platform. This is an opportunity to shape the backbone of a modern data ecosystem, empowering analysts, ML engineers, and data scientists to deliver smarter, faster insights at scale. You'll play a key role in designing and engineering platform services that treat data as a core product. This means building scalable, secure, and observable systems that help teams confidently leverage data across the business. You'll work closely with a wide range of technical and non-technical partners to deliver resilient infrastructure, champion data governance, and mentor others in engineering excellence. Shape the data platform roadmap: Introduce modern observability, quality, and governance frameworks that elevate how teams access and trust data. Develop services, APIs, and data pipelines using modern cloud tooling and automation-first principles. Implement CI/CD pipelines, testing frameworks, and container-based deployments to ensure reliability and repeatability. Collaborate with product engineers, data scientists, and ML practitioners to understand their workflows and deliver high-impact platform solutions. Proactively monitor system performance, automate incident response, and strengthen platform resilience. Strong proficiency in Python (or a similar high-level language) with a deep understanding of software engineering best practices - testing, automation, clean code, and CI/CD. Proven track record building and maintaining scalable data platforms in production, enabling advanced users such as ML and analytics engineers. Hands-on experience with modern data stack tools - Airflow, DBT, Databricks, and data catalogue/observability solutions like Monte Carlo, Atlan, or DataHub. Solid understanding of cloud environments (AWS or GCP), including IAM, S3, ECS, RDS, or equivalent services. Experience rolling out data governance and observability frameworks, including lineage tracking, SLAs, and data quality monitoring. Familiarity with modern data lake table formats such as Delta Lake, Iceberg, or Hudi.

A day in the life of an Instrumentation EngineerAs an Instrumentation Engineer at Dalston you will…Ensure optimal performance and reliability of service Instrumentation and measurement systems across the site whilst driving improvements. As an Instrumentatio

Our client is a leading multi-strategy hedge fund; seeking to hire an AI Engineer to advance their AI and machine learning initiatives across trading, risk, and research functions. This role offers the chance to work on impactful projects in a high-performance, data-driven environment. Utilise generative AI to process huge amounts of data Build and maintain robust AI tools and systems Collaborate closely with technical and non-technical teams to identify high-impact AI opportunities Ensure model scalability, performance, and reliability in live production environments 3+ years of software engineering experience, with recent experience developing AI/ML tools and applications ~ familiarity with high-performance computing is a plus ~ Financial industry experience is a bonus, but not required

We are seeking a highly skilled Devops Engineer – Apigee with strong expertise in AWS, Azure DevOps, and Apigee. The ideal candidate will bridge the gap between development and operations by automating workflows, optimizing CI/CD pipelines, and ensuring reliable, scalable, and secure software delivery. This role requires a deep understanding of cloud infrastructure, API management, and continuous integration and deployment practices. Candidate should be SC Cleared/SC Eligible Responsibilities Build, deploy, and monitor solutions using AWS services such as Lambda, API Gateway, CloudWatch, ECS, ECR, DynamoDB, and S3. Integrate APIs into CI/CD pipelines using Azure DevOps and GitHub workflows. Design, develop, and manage applications tailored to business requirements. Execute and manage the end-to-end application lifecycle using Apigee Edge and X-API strategy. Perform API strategy execution, provide technical support, and generate insights through analytical reports. Manage infrastructure automation, monitoring, and optimization to ensure high performance and reliability. Collaborate with cross-functional teams to improve system efficiency, scalability, and deployment automation. Troubleshoot and resolve system and integration issues promptly. Maintain clear documentation for builds, deployments, and system processes. Required Skills Hands-on experience with Infrastructure-as-Code tools (e.g., Terraform, Ansible). Strong proficiency in AWS cloud tools and architecture, including deploying microservices using ECS, ECR, and Fargate. Experience with Python scripting and Docker for automation and containerization. Proven experience in setting up and managing Azure DevOps CI/CD pipelines. Solid understanding of build and deployment methodologies for distributed systems. Experience with enterprise-grade web applications and system integration. Strong knowledge of the Apigee platform or any APM (API Management) platform and its components. Ability to generate custom analytical reports for API consumption and error tracking. Familiarity with API security and access control mechanisms (OAuth, API keys, JWT, etc.). Proficient in API design best practices, performance optimization, and monitoring techniques.

Responsibilities for the Contract Site Reliability Engineer (Algorithmic Trading) - Deploy applications following best practices and manage vendor relationships - Monitor and troubleshoot systems proactively, owning reliability improvements - Work closely with trading teams to understand the full t

Site Reliability, DevOps, or Platform Engineering. Skills & Experience - Degree in Engineering, Computer Science, or a related quantitative field.

Responsibilities for the Contract Site Reliability Engineer (Algorithmic Trading) - Deploy applications following best practices and manage vendor relationships - Monitor and troubleshoot systems proactively, owning reliability improvements - Work closely with trading teams to understand the full t

Founding Site Reliability Engineer | Stealth Fintech | London | Up to £200k + Equity | London (Min 4 days per week in office) Maze is partnering with a stealth-mode startup that's rebuilding core banking from the ground up. We're looking for a Founding Site Reliability Engineer to drive the infras

Job Description Heart Mind Talent are partnering with Verified Global to hire a Reliability & Operations Engineer based in Central London.

Site Reliability, DevOps, or Platform Engineering. Skills & Experience - Degree in Engineering, Computer Science, or a related quantitative field.

Site Reliability Engineer - Sports Betting.

Join to apply for the Site Reliability Engineer (SRE) - Financial Wellbeing role at Lloyds Banking Group. This range is provided by Lloyds Banking Group. Referrals increase your chances of interviewing at Lloyds Banking Group by 2x.

As a Site Reliability Engineer, you’ll design, build, and operate large-scale systems with an emphasis on reliability, efficiency, and automation. We’re looking for a Site Reliability Engineer who can combine strong technical capability with a pragmatic approach to automation, monitoring, and se

We are seeking a seasoned Site Reliability Engineer to join our Cloud Security team and help solve the complex challenge of securing a large-scale, rapidly growing cloud platform. Miro's Cloud Security team is a hybrid function, blending security and cloud engineering expertise. Embedded directly wi

Join our innovative Digital team at British Airways as a Site Reliability Engineer (SRE), where you’ll play a key role in ensuring the reliability, availability, and performance of the applications that keep our business flying. The Role: Site Reliability Engineer. Maintain and enhance the reliabi

To learn more about Delta Capita and our culture, see the section about Working at DC - Delta Capita. Delta Capita is an equal opportunity employer. Delta Capita Group (a member of the Prytek Group) is a global managed services, consulting and solutions provider with experience in Financial Services

As a Senior Site Reliability Engineer in our UK&I division, you will be responsible for overseeing a group of employees, providing direction and support to ensure goals are met and operations run smoothly. Blip is a leading tech company focused on software engineering solutions for sports entertainm