2,176 to 2,200 of 4,321 Observability Jobs

testing, automation, and security to raise the overall engineering bar. Build and integrate tools and systems that improve operational efficiency and reliability, with strong observability through monitoring, alerting, and hands‐on involvement in incident response and post‐mortems. You’ll be great for this role if you have... Strong proficiency ...

teams, helping them optimize data processing based on their specific database platforms and user needs. Contribute to strategic initiatives around system modernization, platform standardization, observability, and cost efficiency. Design, develop, and maintain innovative scalable solutions to optimize complex data pipelines, including ETL processes. Develop solutions leveraging database backup and restore ...

automated gates. Cloud Native Architecture: Deep understanding of distributed system design, microservices, and cloud native environments, with the ability to optimise them for logging, observability, and testability. Root Cause Debugging: Exceptional technical debugging skills across complex, distributed systems, with the ability to write robust automated regressions to address production vulnerabilities. ...

fail-safe behavior; drive secure, supportable integration of agents with enterprise platforms and Cybersecurity services via governed APIs and service identities. AI Security Observability: Build telemetry strategies that reconstruct agent intent and actions—including prompts and instructions where policy permits—tool calls, identities, memory updates, policy decisions, outputs, errors ...

Galaxy, and Trino. Contribute to the Unified Control Plane: take capabilities that exist in one product (access control, multi-cluster management, routing, catalog management, observability) and deliver them as a single implementation that serves both SaaS and self-managed deployments. Own the reliability, scalability, and efficiency (performance/ ...

platform by design, including identity, data protection, content safety, and auditability. Define and implement AI operations (AIOps) practices for AI Platforms: Monitoring and observability, forensics on security anomalies, token/quota capacity planning, and workload optimization. Serve as a senior technical escalation point for AI platforms, leading investigation, root cause ...

move into production with confidence Build and orchestrate analytical/processing pipelines across ingestion, training, inference and post-processing with built-in monitoring and observability Design and implement processes to increase efficiency in your workstreams Identify and integrate tooling (including AI tools) to streamline your work Work closely with cross ...

APIs, or LLM infrastructure in production environments. Past experience at an early-stage company where you built deployment operations, playbooks, and tooling. Familiarity with observability and incident management in distributed systems (Prometheus, Grafana, Datadog, or similar). Experience with CI/CD pipeline design, deployment automation, or infrastructure self-service ...

standard part of your daily workflow from day one Learn and apply the team’s standards for building AI-native systems: state management, observability, non-determinism, and inference cost awareness Engage with testing and validation approaches specific to adaptive systems where behavior is not fully deterministic Contribute to Reusable Foundations ...

Kotlin and Swift. Required: experience with Git-based development workflows and CI/CD release pipelines (We use Github Actions). Required: experience with observability and crash tooling used in mobile environments (for example Sentry, Firebase, Crashlytics). Preferred: Python for data analysis and validation workflows. Preferred: experience with feature ...

quality, ensuring testing and quality considerations are part of the conversation from day one. Partner with developers during design to build testability and observability into the product from the start, not bolt it on afterward. Build and maintain internal testing tools/frameworks that raise the bar for the whole ...

bandits/RL policies) that operate reliably under real-world constraints in collaboration with engineering. Build robust training, evaluation, and serving pipelines with embedded observability, drift detection, and failure handling across the ML lifecycle Enhance experimentation and measurement strategies , including A/B tests, causal inference methods, and long-horizon ...

scheduling hundreds of thousands of containers every hour Designing architecture and opinionated APIs to keep application developers on the happy path Tracing and performance observability in high scale distributed microservice architectures Building reliant, performant, and scalable systems for storage, auth, or asset serving to enable other product teams to build ...

tooling and improvements that would have real impact, then take ownership of building them once we agree they're worth it. Support reliability and observability, using Datadog to make sure we find out about problems before our customers do. Take part in the operational work: migrations, upgrades, incident response ...

contracts and reusable features for entities such as clients, organisations, people, matters, sectors, jurisdictions, opportunities and legal topics. Implement data-quality checks, lineage, provenance, observability, monitoring and change management within Fabric and Databricks workflows so data assets remain trusted over time. Conduct exploratory data analysis to surface patterns, gaps, anomalies ...

experience is preferred. Experience using infrastructure as code, such as Terraform, to safely manage production infrastructure. Strong understanding of capacity management, failure domains, observability, rollout safety, and production recovery. Demonstrated ability to lead complex technical initiatives across teams and through ambiguous problem spaces. Bachelor’s degree in Computer Science, Engineering ...

innovations from experimentation through to productised, maintainable solutions that deliver measurable value. Drive engineering excellence across ML systems, including CI/CD, testing, observability, reliability, and MLOps guidelines. Define technical standards, patterns, and protocols for ML engineering and applied ML science across teams. Lead complex, multi-team technical initiatives ...

connected vehicles, and compliance with automotive industry standards such as ISO 26262 and ISO 21434 Application Management - Open source solutions in the enterprise including Observability, IAM, App Stores and technologies such Grafana, GitOps, and Juju Charms We will route you to the most suitable team. Location: These roles are home ...

evolution of Hyve's enterprise data platform and data warehouse capabilities. Lead the Data Engineering team responsible for data ingestion, transformation, orchestration, modelling, testing, observability and operational support. Ensure appropriate use of Microsoft Fabric, Azure Data Factory, Snowflake and dbt across Hyve's Azure and AWS cloud environments. Establish engineering ...

testing, documentation and code organisation. Responsible for evolving those standards over time, protecting core principles while adapting to new tools and approaches. Ensure appropriate observability, logging and error-handling patterns are in place across applications. Responsible for ensuring documentation exists where it adds long-term value, and remains accurate. Problem ...

Foundry, Azure OpenAI Service, Microsoft Fabric and supporting Azure/AI services. Design agent orchestration, grounding, tool invocation, memory and context handling, fallback behaviour, observability and failure recovery. Define non‐functional requirements covering scalability, latency, resilience, availability, supportability, cost, performance and recoverability. Integration, data and enterprise architecture Design secure integration ...

Foundry, Azure OpenAI Service, Microsoft Fabric and supporting Azure/AI services. Design agent orchestration, grounding, tool invocation, memory and context handling, fallback behaviour, observability and failure recovery. Define non-functional requirements covering scalability, latency, resilience, availability, supportability, cost, performance and recoverability. Integration, data and enterprise architectureDesign secure integration with ...

APIs, and serverless services Infrastructure & tooling: AWS, Terraform, Docker, Kubernetes, Redis, CI/CD pipelines Practices: Automation-first, metrics-driven, incident write-ups and observability baked in Our 2026 Engineering Strategy We’re not just here to write code, we’re here to redefine how insurance works. Our 2026 engineering ...

Enterprise as the semantic knowledge graph, an agent memory plane serving episodic and precedent memory over MCP, MCP-native connectors, OpenTelemetry and Grafana for observability, all on CNCF-conformant Kubernetes with Helm and Argo CD, deployable to any hyperscaler or on-prem. A tool-for-tool match is not expected ...

into platforms handling sensitive clinical and research data Strengthening engineering practices and platform resilience through DataOps, DevOps, CI/CD, infrastructure as code, automation, observability and security by design Evaluating emerging technologies and helping teams make thoughtful, appropriate and sustainable technology choices Mentoring experienced engineers, sharing knowledge and contributing ...