451 to 475 of 1,507 Observability Jobs

collaborative system design, while taking end-to-end ownership of implementation through to production support. Build production-grade systems with a strong focus on observability, monitoring, and operational excellence, enabling rapid detection and resolution of issues. Work with AWS services to build cloud-native, highly available systems. Define and manage ...

experience in a production support role. Hands-on experience with OpenShift, Ansible, and automation scripting (Python, Shell, PowerShell, etc.). Proficiency in monitoring and observability tools such as Grafana, AppDynamics, ITRS, and Splunk. Strong knowledge of databases (SQL, queries, optimization). Experience supporting large-scale, high-availability systems ...

quality. Strong estimation and planning discipline in Agile/Scrum or Kanban environments. Experience driving solution performance : profiling, caching, query optimization, horizontal scaling, and observability (APM, logs, traces). Cloud‐native delivery experience (AWS preferred) with CI/CD, IaC, and modern DevOps practices. Excellent stakeholder communication—can negotiate scope ...

similar cloud environments. Good understanding of cloud-native and distributed systems (microservices, scalability, resilience). Experience with CI/CD, production debugging, observability tools (e.g., Datadog), and incident response. On-Call & Reliability Willingness to participate in a mandatory 24/7 on‐call rotation. Experience responding to production incidents ...

guardrails and responsible AI practices Engineering Depth Prior Handson development background e.g. JavaPythonNode with ability to review and guide implementation DevOps CICD IaC architecture observability and securebydesign principles We are a Disability Confident Employer : Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government ...

degradation, autoscaling behaviors, incident follow-ups, and runbooks. Contribute to system design by breaking down ambiguous problems, proposing approaches, and making pragmatic tradeoffs. Add observability with metrics, tracing, logging, dashboards, and actionable alerts tied to SLOs. Support safe deployments through CI/CD improvements, canarying, feature flags, backward compatibility ...

over architectural purity, and you’re explicit about that being a deliberate choice. Take the prototypes that prove out into early production — enough robustness, observability, and compliance posture to handle live flows — in close partnership with the production engineers who will own them. Own the handoff. Instrument it, document ...

that make datasets economical to store, and efficient to use. Operating batch workloads on AWS, with responsibility for their reliability, resource use, retry behaviour, observability and cost. Improving the shared tooling and infrastructure used to test, deploy, monitor and operate our data services. Making common data workflows easier and safer ...

frontend and backend systems work together in high‐performance environments. Experience with infrastructure and DevOps fundamentals: CI/CD, cloud platforms, CDN, monitoring/observability, and deployment strategies. Strong understanding of security best practices (OWASP, authentication/authorization patterns, secure data handling) — especially in a financial context. Experience hiring, mentoring ...

functional requirements including availability, resilience, security, scalability, RTO/RPO, MOS, latency, and jitter. Experience with IaC, CI/CD, DevOps, SRE, observability, and hardening for CCaaS platforms. Responsibilities: Own end-to-end architecture for CCaaS transformation programs including voice, digital, AI, and integrations. Design High-Level Designs ...

APIs (e.g. OpenAI, Bedrock), prompt orchestration, tool usage and interaction patterns. Expertise in AI system design including state management, memory strategies, evaluation approaches, guardrails, observability and performance optimisation for LLM‐powered systems. Strong communication and influencing skills, with experience mentoring engineers and driving high standards across teams while engaging both ...

clearly articulating technical challenges, proposed solutions, delivery risks, project timelines and key milestones. Engineering Standards & Operational Excellence: Champion best practices across software engineering, testing, observability, security, model evaluation and responsible AI, ensuring AI services are reliable, scalable and maintainable in production. About You 4+ years' experience in AI Engineering, Machine ...

architecture governance. Design cloud-native solutions on Microsoft Azure, balancing performance, resilience, scalability and cost. Define and validate non-functional requirements, including security, observability and reliability. Drive platform modernisation through cloud-native technologies, automation, AI-assisted engineering and API-first, event-driven architecture. Produce and maintain architecture artefacts, including ADRs ...

frontend and backend systems work together in high‐performance environments. Experience with infrastructure and DevOps fundamentals: CI/CD, cloud platforms, CDN, monitoring/observability, and deployment strategies. Strong understanding of security best practices (OWASP, authentication/authorization patterns, secure data handling) — especially in a financial context. Experience hiring, mentoring ...

reusable patterns where appropriate. Tool Integration: Support integration with internal systems and APIs. Help manage tool access and ensure reliable execution and error handling. Observability & Operations: Contribute to logging, tracing, and monitoring. Support analysis of system behavior, cost, and performance in production. Governance & Configuration: Work with configuration across agents, prompts ...

needs and timelines. \n Lead code reviews, enforce coding standards, and mentor teammates on API gateway patterns, security, and Java. \n Own and improve observability (Datadog dashboards, monitors, and alerts) \n Lead by example in creating, implementing, and maintaining extensible, reusable code, and drive code quality through metrics and best ...

desirbale Tech Stack M&S uses a variety of technologies including; Java, Spring, SpringBOOT, Micronaut React, Next.js, Typescript, Angular Azure Cloud, Kubernetes, Dynatrace (observability) SQL Server, MongoDB Ignite, Redis What’s In It For You Working at M&S means being part of something bigger — helping to deliver quality, value ...

optimisation RESTful API design and implementation Git - version control and collaborative workflows Testing strategies (unit, integration, end-to-end) Experience with monitoring, logging, and observability tools Knowledge of scalable system architecture and design patterns Familiarity with modern AI tools and a habit of staying up to date with how they ...

workflow, plus familiarity with cheminformatics tooling (e.g. RDKit, OpenEye) — or willingness to pick these up. MLOps fluency: experiment tracking, data versioning, model serving, and observability of deployed models. A visible track record in the field — peer‐reviewed publications, open‐source contributions, or public projects that demonstrate your judgement on real ...

Engineer, you will Enable fast, reliable delivery by supporting development teams, resolving developer issues, and engineering build and release processes. Strengthen reliability and observability by implementing service monitoring, deep telemetry, and high-availability operational support-automating solutions across the environment. Build secure and compliant foundations by implementing technologies aligned ...

focus on solving real business problems Software engineering best practices, such as testing, clean coding standards, code reviews, pair programming, technical documentation authoring, observability and iterative development using A/B testing You’ll upskill in the Search domain – working closely with product, data scientists and machine learning scientists ...

Kafka), service-based systems. Familiar with Domain-Driven Design and hexagonal architecture. Strong software engineering fundamentals (clean code, automated testing, CI/CD, observability). Hands-on experience with AWS. Actively use AI tooling (e.g. Copilot, Claude Code, Codex etc) and have opinions on best practices. Ability to translate regulatory ...

develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more Invent ...

develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent ...

develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent ...