401 to 425 of 1,262 Observability Jobs

data models Translate business requirements into pragmatic, scalable data architecture decisions Define, implement, and maintain data contracts aligned to business domains Establish data quality, observability, and SLA frameworks Engineering Delivery Design and evolve scalable data pipelines (batch and incremental watermark‐based ingestion) using: Microsoft Fabric Pipelines Azure Data Factory PySpark ...

data models Translate business requirements into pragmatic, scalable data architecture decisions Define, implement, and maintain data contracts aligned to business domains Establish data quality, observability, and SLA frameworks Engineering Delivery Design and evolve scalable data pipelines (batch and incremental watermark‐based ingestion) using: Microsoft Fabric Pipelines Azure Data Factory PySpark ...

data models Translate business requirements into pragmatic, scalable data architecture decisions Define, implement, and maintain data contracts aligned to business domains Establish data quality, observability, and SLA frameworks Engineering Delivery Design and evolve scalable data pipelines (batch and incremental watermark‐based ingestion) using: Microsoft Fabric Pipelines Azure Data Factory PySpark ...

Responsibilities Use of Agile methodologies for platform development Deliver Platform as Code Work within the Cloud Platform design pattern to implement technical and financial observability Undertake platform capacity management Support projects where appropriate Undertake proactive monitoring and react to escalations from other IT teams Collaborating with other members ...

assessment (Tolerate, Invest, Migrate, Eliminate) to manage application life cycle and reduce technical debt. Contribute to DevSecOps practices including automated pipelines, infrastructure as code, observability (logging, metrics, alerting) and identity/security controls. Provide technical leadership to delivery teams and review design proposals from senior developers. Liaise with client architects ...

paths, multi-step journeys, failure handling, regressions, and guardrails. Partner on system design to identify bottlenecks and failure modes; propose changes that improve testability, observability, and resilience. Requirements 5+ years in QA/quality engineering for modern web products (APIs + UI). Strong coding skills and hands-on automation ...

balancing, segmentation, private connectivity) Security (IAM, MFA, encryption, policy enforcement) Storage & data services (object/block/file, backup, replication) Automation (IaC, pipelines, scripting) Observability (logging, metrics, tracing, SIEM integration) Why Join Quorum? Quorum is an employee-owned IT consultancy, delivering managed services, projects, and professional services to organisations across ...

/version control, and infrastructure release workflows. Desirable Skills: Experience in critical national infrastructure or highly regulated environments. Exposure to monitoring, logging, and observability tooling. Knowledge of security hardening, compliance, and audit controls. VMware certifications. Experience designing platforms for secure workload hosting at scale. Join us in this exciting opportunity ...

customer demand grows. Lead on engineering security practices, particularly in the context of UK Government and defence data handling. Work with Ops to improve observability, incident response, and the reliability of a 24/7 operational system. Essential Skills and Experience Strong full-stack background: comfortable with cloud infrastructure.Proven experience ...

datasets, semantic layers and dimensional data models for reporting and analytics Optimise SQL queries and database performance Implement data quality checks, monitoring, lineage and observability processes Support data cataloguing, metadata management and governance practices Ensure data security through masking, anonymisation and adherence to GDPR and ISO27001-aligned standards Complete unit ...

driven solutions where appropriate Contribute to the evolution of end to end data management capabilities, embedding discovery, governance, lifecycle management, operability, resilience, auditability, and observability into solution designs by default Collaborate with architects, platform, security, and operations teams to ensure solutions meet production readiness, compliance, and assurance standards, and align ...

driven solutions where appropriate Contribute to the evolution of end‐to‐end data management capabilities, embedding discovery, governance, lifecycle management, operability, resilience, auditability, and observability into solution designs by default Collaborate with architects, platform, security, and operations teams to ensure solutions meet production readiness, compliance, and assurance standards, and align ...

frontend features and review frontend PRs Nice to Have Experience with voice agents or real-time audio pipelines Familiarity with evals, guardrails, or agent observability Familiarity with GCP/cloud infrastructure Experience in recruiting tech, marketplaces, or matching systems The Stack A modern Python stack: FastAPI, Postgres, Redis, Docker, Pydantic ...

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 ...

Infrastructure Expertise Troubleshoot NCCL, IB, GPU driver/firmware issues, distributed training failures. Support complex AI workloads (training + inference) with performance tuning and observability improvements. Customer-Facing Authority Act as technical advisor during high-risk customer incidents. Deliver executive-ready RCAs with clarity and confidence. Drive trust through transparency ...

engineering best practices Consider long-term technical strategy, trade-offs, and system interactions A data-informed approach to decision-making, with a bias toward observability and learning A proactive mindset toward AI and emerging technologies, with the curiosity and willingness to experiment, learn, and leverage them to drive team efficiency ...

frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (AWS, Azure, GCP). Experience with AI infrastructure components including model gateways, orchestration layers, and observability tools. Familiarity with AI governance, data privacy, international regulation and ethical AI frameworks. Excellent leadership, communication, and interpersonal skills. Strong analytical and problem‐solving abilities. Ability ...

Software Engineer, you will be responsible for the design, development, deployment, and operation of business‐critical features that add customer value. Operational excellence, metrics, observability and best practices, evangelization, and mentoring in your team and across the whole of Engineering will be part of your day‐to‐day job. Quality ...

scalable MLOps roadmaps. Govern & Scale Responsibly: Enterprise AI demands bulletproof reliability. You will implement cutting‐edge MLOps best practices, focusing on observability, rigorous testing, and QA to mitigate bias and hallucinations, ensuring AI outputs are safe, ethical, and value‐driven. Integrate & Innovate: You’ll deploy sophisticated models within major enterprise ...

runtime management across varied environments (batch, real-time, REST, edge), using tools like MLflow, SageMaker, Databricks, or other equivalent.* Strong background in monitoring, observability, and incident response — including drift detection, fairness tracking, latency alerts, and recovery protocols.* Skilled in building secure, compliant AI infrastructure aligned with regulatory standards (e.g., GDPR ...

organisational design, workforce planning, and hiring strategy Standards, Quality & Technical Excellence Establish and uphold best practices across SDLC, code quality, testing, observability, and incident management Partner with engineering leadership to ensure systems are scalable, secure, and maintainable Drive the adoption of modern development practices (Agile, DevOps, CI/ ...

e.g., E2E\/Cypress). Backend Excellence: Engineers sophisticated backend solutions involving API versioning, caching strategies, and complex data migration plans. Operational Maturity: Leads observability and SRE practices; defines SLOs, manages incident responses, and conducts blameless post‐mortems. Security & Risk: Oversees operational security, including secrets hygiene and dependency risk management ...

Technologies we use Backend languages: Python, Go Tech infrastructure: AWS, CDK TypeScript, Lambda, SQS, EventBridge, RDS, DynamoDB Data tooling: GCP, BigQuery, Looker, Looker Studio Observability: Loki, Tempo, Grafana, Prometheus Event-driven architecture and domain-driven design How we reward our team Dynamic hybrid working environment with a diverse and driven ...

e.g., E2E/Cypress). Backend Excellence: Engineers sophisticated backend solutions involving API versioning, caching strategies, and complex data migration plans. Operational Maturity: Leads observability and SRE practices; defines SLOs, manages incident responses, and conducts blameless post‐mortems. Security & Risk: Oversees operational security, including secrets hygiene and dependency risk management ...

e.g., E2E/Cypress). Backend Excellence: Engineers sophisticated backend solutions involving API versioning, caching strategies, and complex data migration plans. Operational Maturity: Leads observability and SRE practices; defines SLOs, manages incident responses, and conducts blameless post‐mortems. Security & Risk: Oversees operational security, including secrets hygiene and dependency risk management ...