701 to 725 of 773 Observability Jobs in England

agent context & decision making. Develop backend infrastructure and intelligent automation for knowledge crawling, extraction and enrichment. Help shape and contribute towards our DevOps practices (CI/CD, cloud infrastructure, observability). Stay on the frontier of AI, keeping up to date with emerging tools and technologies to keep us at the edge of what’s possible. Requirements Deep backend expertise … with Python or Javascript. Strong knowledge of DevOps practices, including CI/CD, cloud infrastructure & observability/monitoring. Previous full ownership of a successful high volume system. Naturally articulate and able to communicate complex concepts clearly. Evidence of excellence at everything you do. Organic curiosity and obsession for AI and cutting edge technology. Exceptional problem-solving skills and meticulous attention More ❯

agent context & decision making. Develop backend infrastructure and intelligent automation for knowledge crawling, extraction and enrichment. Help shape and contribute towards our DevOps practices (CI/CD, cloud infrastructure, observability). Stay on the frontier of AI, keeping up to date with emerging tools and technologies to keep us at the edge of what’s possible. Requirements Deep backend expertise … with Python or Javascript. Strong knowledge of DevOps practices, including CI/CD, cloud infrastructure & observability/monitoring. Previous full ownership of a successful high volume system. Naturally articulate and able to communicate complex concepts clearly. Evidence of excellence at everything you do. Organic curiosity and obsession for AI and cutting edge technology. Exceptional problem-solving skills and meticulous attention More ❯

agent context & decision making. Develop backend infrastructure and intelligent automation for knowledge crawling, extraction and enrichment. Help shape and contribute towards our DevOps practices (CI/CD, cloud infrastructure, observability). Stay on the frontier of AI, keeping up to date with emerging tools and technologies to keep us at the edge of what's possible. Requirements Deep backend expertise … with Python or Javascript. Strong knowledge of DevOps practices, including CI/CD, cloud infrastructure & observability/monitoring. Previous full ownership of a successful high volume system. Naturally articulate and able to communicate complex concepts clearly. Evidence of excellence at everything you do. Organic curiosity and obsession for AI and cutting edge technology. Exceptional problem-solving skills and meticulous attention More ❯

at Tier 1 banks. We're looking for a Principal Platform Engineer to drive the infrastructure behind mission-critical systems: think active-active, five-nines uptime, and real-time observability at global scale. What You'll Do: Own platform architecture for our next-gen ledger infrastructure Scale multi-region Kubernetes environments across cloud & on-prem Harden distributed systems (Kafka, Redis … CockroachDB) for global banking workloads Lead our AI-powered SRE approach: observability, remediation, and auto-response Enforce zero-trust, multi-tenant security and compliance (SOC2, ISO 27001) Define IaC foundations (Terraform, GitOps, Helm) What We're Looking For: Expert with Kubernetes and Distributed Systems Experience building production infrastructure at scale (multi-region, high-availability) Extensive experience building both on-Prem More ❯

at Tier 1 banks. We're looking for a Principal Platform Engineer to drive the infrastructure behind mission-critical systems: think active-active, five-nines uptime, and real-time observability at global scale. What You'll Do: Own platform architecture for our next-gen ledger infrastructure Scale multi-region Kubernetes environments across cloud & on-prem Harden distributed systems (Kafka, Redis … CockroachDB) for global banking workloads Lead our AI-powered SRE approach: observability, remediation, and auto-response Enforce zero-trust, multi-tenant security and compliance (SOC2, ISO 27001) Define IaC foundations (Terraform, GitOps, Helm) What We're Looking For: Expert with Kubernetes and Distributed Systems Experience building production infrastructure at scale (multi-region, high-availability) Extensive experience building both on-Prem More ❯

to translate complex business requirements into data-driven solutions. Write production-grade SQL and ensure data quality through testing, documentation, and version control. Promote best practices around data reliability, observability, and maintainability. (Optional but valued) Contribute to Infrastructure as Code and CI/CD pipelines (e.g., Terraform, GitHub Actions). Skills & Experience 5+ years of experience in data-focused roles … other data visualisation tools. Familiarity with orchestration tools such as Airflow, Prefect, or Dagster. Understanding of CI/CD practices in data and analytics engineering. Knowledge of data governance, observability, and security best practices in cloud environments. More ❯

by design. You'll groom the roadmap and write user stories to add to the backlog, break down epics, refine acceptance criteria, and balance new features with technical debt, observability, and cost efficiency. You'll demo recent increments, gather user feedback, and turn it into testable stories that enhance usability, trust, and performance. You'll brief sponsors on the value … solutions for the EMEA region. Key Responsibilities: Backlog ownership & delivery: Convert outcomes into prioritized epics/stories, lead refinement and planning, uphold DoR/DoD, balance features with reliability, observability, cost, and sustainability. Value & metrics: Establish VIPs/KPIs/OKRs (adoption, time to data, data trust, NPS, ROI); run quarterly value reviews, iterate the roadmap based on evidence. Privacy More ❯

production systems at scale • Expert-level proficiency in Python, Rust, or Go (you write systems that can't fail) • Deep understanding of distributed systems, real-time data processing, and observability architectures • Production ML/AI experience : You've deployed models, debugged their failures, and built monitoring around them • System design mastery : You can architect for reliability, scalability, and auditability simultaneously … Knowledge: • Understanding of agent architectures : autonomous decision-making, goal-directed behaviour, tool use, memory systems • Familiarity with AI safety concepts : alignment, interpretability, robustness, adversarial examples • Experience with monitoring/observability : instrumentation, logging, tracing, alerting in complex systems Working Style: • You ship to production regularly and own what you deploy • You write documentation that others can actually use • You thrive in More ❯

production systems at scale • Expert-level proficiency in Python, Rust, or Go (you write systems that can't fail) • Deep understanding of distributed systems, real-time data processing, and observability architectures • Production ML/AI experience : You've deployed models, debugged their failures, and built monitoring around them • System design mastery : You can architect for reliability, scalability, and auditability simultaneously … Knowledge: • Understanding of agent architectures : autonomous decision-making, goal-directed behaviour, tool use, memory systems • Familiarity with AI safety concepts : alignment, interpretability, robustness, adversarial examples • Experience with monitoring/observability : instrumentation, logging, tracing, alerting in complex systems Working Style: • You ship to production regularly and own what you deploy • You write documentation that others can actually use • You thrive in More ❯

Data Engineer, Customer Decisioning & AI, London, hybrid Salary: up to £45,000, depending on experience Location: London, hybrid, in office Monday to Wednesday Job ref: J13027 We are working with a fast growing tech company helping some of the best More ❯

Data Engineer, Customer Decisioning & AI, London, hybrid Salary: up to £45,000, depending on experience Location: London, hybrid, in office Monday to Wednesday Job ref: J13027 We are working with a fast growing tech company helping some of the best More ❯

Heart Mind Talent are partnering with Verified Global to hire a Reliability & Operations Engineer based in Central London. Verified Global builds cutting-edge algorithms to flip the odds in sports betting. Every hour, millions of fans place sub-optimal bets. More ❯

Heart Mind Talent are partnering with Verified Global to hire a Reliability & Operations Engineer based in Central London. Verified Global builds cutting-edge algorithms to flip the odds in sports betting. Every hour, millions of fans place sub-optimal bets. More ❯

Role: Staff Software Engineer (Python | Backend | Infrastructure) Location: Hybrid - 2-3 days in London Office Compensation: Up to £170,000 + equity We’re working with a frontier AI lab pushing the boundaries of computational biology, combining machine learning, cloud More ❯

Role: Staff Software Engineer (Python | Backend | Infrastructure) Location: Hybrid - 2-3 days in London Office Compensation: Up to £170,000 + equity We’re working with a frontier AI lab pushing the boundaries of computational biology, combining machine learning, cloud More ❯

Started in 2021, Coram.AI is building the best business AI video system on the market. Powered by the next-generation video artificial intelligence, we deliver unprecedented insights and 10x better user experience than the incumbents of the vast but stagnant More ❯

Rust is a bonus) and experience designing distributed systems, REST APIs, and microservices Data & Infrastructure: Experience with Kafka or similar streaming technologies, PostgreSQL, and time-series data management DevOps & Observability: Familiar with Docker, monitoring, and observability tools Bonus Points For: Prior experience with energy markets, trading systems, industrial control systems, or IoT environments If you’re passionate about applying your More ❯

Rust is a bonus) and experience designing distributed systems, REST APIs, and microservices Data & Infrastructure: Experience with Kafka or similar streaming technologies, PostgreSQL, and time-series data management DevOps & Observability: Familiar with Docker, monitoring, and observability tools Bonus Points For: Prior experience with energy markets, trading systems, industrial control systems, or IoT environments If you’re passionate about applying your More ❯

prioritise, navigate ambiguity, and rally teams around a plan. A strong preference for user experience and comfort with technical details. Technical experience with containerised platforms using Kubernetes, databases, and observability tools such as Prometheus and OpenTelemetry. This is a chance to shape the future of observability and security, build products people count on, and do it all with curiosity and More ❯

and 100k CPUs Architecting a brand new on premise kubernetes infrastructure Working in their high performance DevOps function (building and optimising CI/CD pipelines etc.!) A brand new observability platform dealing with over 6 million requests per second and working on tracing and OpenTelemetry (as well as exploring ML for Observability) Automate anything and everything with Python & config tools More ❯

and 100k CPUs Architecting a brand new on premise kubernetes infrastructure Working in their high performance DevOps function (building and optimising CI/CD pipelines etc.!) A brand new observability platform dealing with over 6 million requests per second and working on tracing and OpenTelemetry (as well as exploring ML for Observability) Automate anything and everything with Python & config tools More ❯

into a newly defined data operations management position at the centre of a major data transformation. You’ll lead a small, capable team responsible for the reliability, performance, and observability of modern data platforms that power decisions across a complex, regulated organisation. This is a hands-on leadership role, part strategist, part problem-solver - shaping how data operations are delivered … visible impact in a high-profile business. What You’ll Do Lead data operations and second line support to ensure data pipelines, platforms, and integrations run reliably with full observability and proactive monitoring. Optimise performance across Snowflake and connected data platforms, driving continuous improvement and automation. Define and embed support models and operational standards for new data products and APIs. … production. Understanding of data flows, models, and warehousing principles - able to diagnose issues across systems without coding. Hands-on familiarity with platforms like Snowflake, Power BI, Alteryx, and modern observability tools. Working knowledge of AWS and/or Azure and how to run data workloads efficiently. A proven ability to lead a team and to manage and influence stakeholders across More ❯

into a newly defined data operations management position at the centre of a major data transformation. You’ll lead a small, capable team responsible for the reliability, performance, and observability of modern data platforms that power decisions across a complex, regulated organisation. This is a hands-on leadership role, part strategist, part problem-solver - shaping how data operations are delivered … visible impact in a high-profile business. What You’ll Do Lead data operations and second line support to ensure data pipelines, platforms, and integrations run reliably with full observability and proactive monitoring. Optimise performance across Snowflake and connected data platforms, driving continuous improvement and automation. Define and embed support models and operational standards for new data products and APIs. … production. Understanding of data flows, models, and warehousing principles - able to diagnose issues across systems without coding. Hands-on familiarity with platforms like Snowflake, Power BI, Alteryx, and modern observability tools. Working knowledge of AWS and/or Azure and how to run data workloads efficiently. A proven ability to lead a team and to manage and influence stakeholders across More ❯

into a newly defined data operations management position at the centre of a major data transformation. You’ll lead a small, capable team responsible for the reliability, performance, and observability of modern data platforms that power decisions across a complex, regulated organisation. This is a hands-on leadership role, part strategist, part problem-solver - shaping how data operations are delivered … visible impact in a high-profile business. What You’ll Do Lead data operations and second line support to ensure data pipelines, platforms, and integrations run reliably with full observability and proactive monitoring. Optimise performance across Snowflake and connected data platforms, driving continuous improvement and automation. Define and embed support models and operational standards for new data products and APIs. … production. Understanding of data flows, models, and warehousing principles - able to diagnose issues across systems without coding. Hands-on familiarity with platforms like Snowflake, Power BI, Alteryx, and modern observability tools. Working knowledge of AWS and/or Azure and how to run data workloads efficiently. A proven ability to lead a team and to manage and influence stakeholders across More ❯

the past year and aggressive expansion across the UK, US, and EU, the company is scaling at pace. Data is the backbone: from APIs and pipelines to governance and observability, their data platform directly powers customer-facing products and AI-driven insights. They’re now hiring a Senior Data Engineer to own and shape this platform, building scalable, production-grade … systems that become the foundation for global brands. Why join? ✨ Greenfield impact – inherit a live but early platform, define best practice across structure, testing, observability, and governance. ✨ Direct product impact – your APIs, pipelines, and orchestration power the platform that 1,000+ brands rely on every day. ✨ AI at the core – work on infrastructure that enables machine learning and intelligent decision … doing: API strategy & development – own and scale FastAPI endpoints that deliver real-time access to platform data. Data pipeline development – build ingestion and replication pipelines with best-in-class observability, latency, and resilience. Platform technical vision – influence architecture and orchestration, shaping how the business handles data at scale. Data quality & governance – embed testing, freshness, lineage, and monitoring to ensure reliability More ❯