
Staff Observability Engineer
Posted 3 days ago

Posted 3 days ago
This is a fully remote position, open to applicants in Poland.
• Oversee comprehensive observability design, telemetry schemas, and OpenTelemetry pipeline architectures.
• Collaborate with engineering and product teams to establish SLIs, SLOs, error budgets, and requirements for production readiness.
• Design AI observability solutions for Amazon Bedrock and agentic workflows.
• Monitor model selection, latency, retries, token usage, tool execution, and cost distribution.
• Ensure traceability across user requests, prompts, model calls, retrieved context, downstream services, and final outputs.
• Uphold data privacy and security protocols.
• Create dashboards, alerts, SLOs, runbooks, and operational perspectives.
• Lead incident diagnosis, performance enhancement, and economic viability.
• Specify measurable signals for response quality, groundedness, guardrail outcomes, and task fulfillment.
• Engage in an on-call rotation approximately 20% of the time.
• Facilitate failure injection, production testing, and capacity planning.
• Work in conjunction with SRE, MLOps, data engineering, security, product teams, and non-technical stakeholders.
• 6+ years of experience in Site Reliability, Observability, or Platform Engineering supporting 24x7x365 production environments.
• Extensive experience with OpenTelemetry and platforms such as Datadog, Sumo Logic, Prometheus, or Grafana.
• Proven experience in designing observability for distributed systems, APIs, event-driven architectures, and asynchronous workflows.
• Practical experience in instrumenting AI/ML or GenAI systems.
• Proficient with Amazon Bedrock or comparable platforms.
• Knowledge of agentic workflows, prompt engineering, vector databases, RAG architectures, LangChain, LlamaIndex, or SageMaker.
• Proficient in Java, Python, or Go.
• Strong expertise in AWS, including cloud networking, IAM, security, and service limits.
• Experience with IaC, CI/CD, and containers, such as Terraform, Kubernetes, Argo CD, Jenkins, or GitHub Actions.
• Familiarity with data modeling, telemetry pipelines, cardinality management, retention, responsible AI, and data privacy measures.
• Excellent communication, mentoring, and cross-functional leadership abilities.
• Eligibility for performance-based bonuses.
• Equity options available.
• 15 hours of paid work time each year for volunteer activities and programs.
• Remote-first working environment.
• Stipends for new hires to set up home office.
• Equity grants for new hires.
• Paid time off.
• Extended paid parental leave.
• Company holidays.
• Health and wellness programs encompassing physical, mental, social, and financial well-being.
• Opportunities for professional development.
• Access to over 6,000 on-demand courses.
• Programs for manager and leadership development.
• Health and related benefits programs.
Mercor
RTX
Expel
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