2,876 to 2,900 of 4,393 Observability Jobs

notebooks, BI tools, and cloud data platforms. Strong understanding of SQL-centric developer workflows, including data modeling, query optimization, semantic layers, transformation frameworks, governance, observability, and dashboard or analytics consumption patterns. Experience building demos, prototypes, reference apps, or production-oriented examples for analytics, BI, data applications, or modern data stack ...

TypeScript, reviewing code, and resolving complex technical challenges. Design production-grade AI architectures across LLM/RAG, retrieval, agentic workflows, evaluation, guardrails, tool calling, observability, and cost/latency optimisation. Define reference architectures, reusable patterns, and technical standards across applications, data, integrations, security, and cloud infrastructure. Translate requirements from investment ...

support the service, including incident, major incident, request, problem, change, release, knowledge and continual improvement activities. Embed availability, capacity, resilience, continuity, performance, security, observability, user experience and supportability requirements into service designs. Help define service levels and service health measures, including SLAs, SLOs, SLIs, operational metrics, monitoring, alerting, dashboards ...

deployment, monitoring, drift, and iteration Experience partnering with engineering and data science on technical architecture, APIs, data pipelines, workflow orchestration, scalable data products, MLOps, observability, and reliability Experience defining evaluation and validation frameworks for AI or ML products, including offline metrics, online experimentation, human evaluation, quality thresholds, error analysis ...

execution Build services that adhere to high standards on availability and latency in a mission-critical environment Leverage AI systems to optimize performance, observability, and operational efficiency What You Bring Bachelor's Degree in Computer Science, Engineering, or related field 6+ years of professional software development experience Experience designing ...

large-scale inference, automated evaluation, model monitoring, active learning and retraining. Partner with platform teams to address data locality, scheduling, capacity, backpressure, failure recovery, observability and cost across petabyte-scale datasets and large GPU fleets. Make effective build, buy, reuse, integrate, consolidate and replace decisions as Wayve’s requirements ...

Ensure full traceability from code commit through deployment and post‐implementation validation. Partner with Engineering and DevOps to align approval logic, automated testing, and observability with governance controls. Ensure rollback readiness through automated playbooks and deployment strategies (e.g. canary, blue/green). Operational Excellence & Reporting Transform change management from ...

Google’s Conversational AI products and customers’ live infrastructure, including APIs, legacy data silos, and security perimeters. Build high‐performance evaluation (Eval) pipelines and observability frameworks to optimize agentic workloads, focusing on reasoning loops, tool selection, and reducing latency while maintaining production‐grade security and networking. Identify repeatable field patterns ...

models, data pipelines, and event-driven systems on Databricks and Snowflake into the Intelligence layer Maintain the quality bar through code reviews, automated testing, observability, and CI/CD Support junior and mid-level engineers and help them grow WHAT WE'RE LOOKING FOR Extensive full-stack experience building ...

data sharing, and secure-by-design patterns. Define the approach for Declarative Pipelines with Expectations (DLT): Data quality strategy, validation rules, quarantine patterns, and observability standards. Champion “production-ready” engineering standards: CI/CD approach, environment strategy (dev/test/prod), monitoring, runbooks, and operational readiness. Drive stakeholder alignment ...

testing, and red-teaming Strong LLM/GenAI engineering fluency: prompting strategies, retrieval-augmented generation, context and memory design, function/tool calling, guardrails, observability, and failure-mode analysis (e.g., prompt injection, tool misuse, error propagation across steps) Track record of taking advanced AI systems from prototype to production, with ...

operating detection engineering programmes. Threat hunting or purple team experience. Experience with CNAPP, CSPM or exposure management platforms. Experience with eBPF or modern observability tooling. Experience implementing security automation using SOAR or similar orchestration platforms. Knowledge of policy-as-code and security governance. Familiarity with supply chain security and software ...

focused features. Provide support to users of the platform. Perform maintenance work and drive internal tech investments for platform stability, reliability and scalability. Build observability and alerting mechanisms for the platform. Improve the Continuous Integration/Continuous Deployment (CICD) setup of the platform. Operate effectively in a fast-paced ...

this role involves defining contracts, documenting decisions, and helping other engineers integrate with what you build. What's nice to have Experience with observability, including tracing, logging, and metrics. Experience integrating with GCP, AWS, or Azure. Experience working with product analytics, event tracking, or telemetry systems. #LI-Hybrid Why Join ...

least 2-3 years working on senior/staff level Proven hands-on experience building and operating developer platforms, CI/CD systems, observability/metrics infrastructure, code quality automation, testing infrastructure and/or developer tooling. You have previously shipped infrastructure or tooling that measurably improved developer velocity ...

experimentation, deployment, monitoring, drift, and iterationExperience partnering with engineering and data science on technical architecture, APIs, data pipelines, workflow orchestration, scalable data products, MLOps, observability, and reliabilityExperience defining evaluation and validation frameworks for AI or ML products, including offline metrics, online experimentation, human evaluation, quality thresholds, error analysis, and guardrailsExperience ...

least 2-3 years working on senior/staff level Proven hands-on experience building and operating developer platforms, CI/CD systems, observability/metrics infrastructure, code quality automation, testing infrastructure and/or developer tooling. You have previously shipped infrastructure or tooling that measurably improved developer velocity ...

least 2-3 years working on senior/staff level Proven hands-on experience building and operating developer platforms, CI/CD systems, observability/metrics infrastructure, code quality automation, testing infrastructure and/or developer tooling. You have previously shipped infrastructure or tooling that measurably improved developer velocity ...

. Background in forecasting, planning, or analytics applications. Experience with A/B testing and experimentation frameworks for AI features. Experience with model observability tools (e.g., LangSmith, W&B, MLflow). Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB) We believe attracting and retaining the best talent and fostering ...

least 2-3 years working on senior/staff level Proven hands-on experience building and operating developer platforms, CI/CD systems, observability/metrics infrastructure, code quality automation, testing infrastructure and/or developer tooling. You have previously shipped infrastructure or tooling that measurably improved developer velocity ...

least 2-3 years working on senior/staff level Proven hands-on experience building and operating developer platforms, CI/CD systems, observability/metrics infrastructure, code quality automation, testing infrastructure and/or developer tooling. You have previously shipped infrastructure or tooling that measurably improved developer velocity ...

least 2-3 years working on senior/staff level Proven hands-on experience building and operating developer platforms, CI/CD systems, observability/metrics infrastructure, code quality automation, testing infrastructure and/or developer tooling. You have previously shipped infrastructure or tooling that measurably improved developer velocity ...

least 2-3 years working on senior/staff level Proven hands-on experience building and operating developer platforms, CI/CD systems, observability/metrics infrastructure, code quality automation, testing infrastructure and/or developer tooling. You have previously shipped infrastructure or tooling that measurably improved developer velocity ...

with SageMaker Pipelines, Training, Processing, Model Registry, Endpoints, Monitoring, and deployment workflows. CI/CD, infrastructure as code, model lifecycle management, and automated retraining. Observability, drift detection, experimentation, and performance engineering. Multi‐account AWS deployments and cross‐account ML platforms. Model Development, Governance & Explainability Deep experience applying a wide range ...

excited about choosing the right tool for the job. You have strong experience with distributed architectures, asynchronous messaging, and relational databases. Production & Observability Focus: You don't just write code; you know how to run it. You have experience building standard APIs, integrating external systems, and setting up robust monitoring ...