Lead Site Reliability Engineer (EPAM SISTEMOS, UAB)
Darbdavys: EPAM SISTEMOS, UAB
Miestas: Latvija
Paskelbta: 2026-10-23
💶 44500 - 46300 €/m. Prieš mokesčius · visa darbo diena · nuotolinis darbas: taip
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Job description:
We are looking for a Lead Site Reliability Engineer to join our team building an Enterprise Agent Development Platform — a production-grade, cloud-native ecosystem that enables engineering teams to define, orchestrate, deploy, and observe AI agents at scale. The platform standardizes agent development across the organization using LangGraph and Strands Agents on AWS AgentCore Runtime. The initiative spans agent framework design, runtime architecture, marketplace integration, CI/CD automation, and enterprise-grade observability, reducing agent development from months to days while enforcing consistent security, quality, and governance standards.
Feel free to work remotely from anywhere across Latvia or connect with colleagues at our Riga office.
Build consolidated cross-tenant dashboards covering agent health, cost, and estate overview
Develop governed cost and token usage metrics for GenAI and compute workloads
Derive governed aggregate metrics from raw telemetry while preserving lineage rather than creating raw copies
Establish clear segregation between technical and business observability through proper derivation, replication, and linkage practices
Maintain metric facet hygiene by enforcing consistent, low-cardinality dimensions
Translate raw telemetry into governed, reusable aggregate metrics across the agent estate
Design and maintain NRQL queries to support dashboard functionality and reporting needs
Partner with engineering teams to standardize observability practices across the agent platform
Requirements:
3+ years of experience in observability engineering
Hands-on experience building cost and token usage observability for GenAI or agentic workloads in production, such as New Relic dashboards/NRQL for agent estate health, governed cost-metric derivation from raw agent telemetry, or gen_ai.* semantic conventions
Expertise in dashboard building and NRQL queries within New Relic
Proficiency in dashboard and cost-metric implementation on New Relic or equivalent SaaS observability platforms
Skills in translating raw telemetry into governed, reusable aggregate metrics
Understanding of technical vs business observability segregation, including derivation, replication, and linkage
Nice to have
Familiarity with New Relic Metric API / Firehose ingestion
Knowledge of AWS cost allocation, including Cost Explorer, tagging, and per-account attribution
Familiarity with OpenTelemetry GenAI semantic conventions (gen_ai., pmi.agent.)
Experience feeding a downstream BI/analytics data product
Company offers:
Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years.
Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies.
World-Class Clients: Work closely with 340+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact.
Professional…
We are looking for a Lead Site Reliability Engineer to join our team building an Enterprise Agent Development Platform — a production-grade, cloud-native ecosystem that enables engineering teams to define, orchestrate, deploy, and observe AI agents at scale. The platform standardizes agent development across the organization using LangGraph and Strands Agents on AWS AgentCore Runtime. The initiative spans agent framework design, runtime architecture, marketplace integration, CI/CD automation, and enterprise-grade observability, reducing agent development from months to days while enforcing consistent security, quality, and governance standards.
Feel free to work remotely from anywhere across Latvia or connect with colleagues at our Riga office.
Build consolidated cross-tenant dashboards covering agent health, cost, and estate overview
Develop governed cost and token usage metrics for GenAI and compute workloads
Derive governed aggregate metrics from raw telemetry while preserving lineage rather than creating raw copies
Establish clear segregation between technical and business observability through proper derivation, replication, and linkage practices
Maintain metric facet hygiene by enforcing consistent, low-cardinality dimensions
Translate raw telemetry into governed, reusable aggregate metrics across the agent estate
Design and maintain NRQL queries to support dashboard functionality and reporting needs
Partner with engineering teams to standardize observability practices across the agent platform
Requirements:
3+ years of experience in observability engineering
Hands-on experience building cost and token usage observability for GenAI or agentic workloads in production, such as New Relic dashboards/NRQL for agent estate health, governed cost-metric derivation from raw agent telemetry, or gen_ai.* semantic conventions
Expertise in dashboard building and NRQL queries within New Relic
Proficiency in dashboard and cost-metric implementation on New Relic or equivalent SaaS observability platforms
Skills in translating raw telemetry into governed, reusable aggregate metrics
Understanding of technical vs business observability segregation, including derivation, replication, and linkage
Nice to have
Familiarity with New Relic Metric API / Firehose ingestion
Knowledge of AWS cost allocation, including Cost Explorer, tagging, and per-account attribution
Familiarity with OpenTelemetry GenAI semantic conventions (gen_ai., pmi.agent.)
Experience feeding a downstream BI/analytics data product
Company offers:
Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years.
Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies.
World-Class Clients: Work closely with 340+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact.
Professional…