Senior SRE (AI Native)

We are looking for a Senior Site Reliability Engineer with strong software engineering and production support experience. You will support an enterprise Service Order Management platform for a major network infrastructure provider and take responsibility for reliability under a “You build, you own” operating model.
Your primary focus is platform components and production reliability. You will diagnose failures across services, automate operational work and implement smaller fixes where appropriate. Development teams retain ownership of custom application functionality and its permanent defect fixes.

Technology Environment

• AWS-hosted Go services, Temporal workflows and Temporal Cloud operational integration.
• Apache Kafka messaging, API integrations and Amazon Aurora databases.
• Metrics, logs and traces; CI/CD, infrastructure as code and release automation.
• Client-approved AI tools for engineering, operational automation and documentation.

Responsibilities

• Provide L3/L4 production support, lead P1/P2 incident triage and mitigation, and coordinate service restoration and escalation.
• Diagnose workflow and worker failures, messaging delays, API errors and database issues across Temporal, Kafka and associated services.
• Define and maintain SLIs/SLOs, actionable alerts and dashboards for availability, error rates, latency and platform health.
• Improve metrics, logs and traces so incidents can be investigated across service and integration boundaries.
• Maintain platform components and environment configuration; coordinate upgrades, releases, database migrations and safe rollbacks.
• Maintain CI/CD and infrastructure-as-code changes; automate recurring operational tasks and recovery procedures.
• For custom-code failures, coordinate safe rollback or mitigation, capture evidence and raise defects with development teams; deliver smaller agreed fixes when appropriate.
• Lead root-cause analysis and post-incident reviews, maintain runbooks and track corrective actions through completion.
• Support capacity and performance management, cost optimization and backup/disaster-recovery readiness with platform owners.

Required Experience

• Senior-level SRE, platform reliability or backend engineering experience with personal responsibility for production services.
• Hands-on L3/L4 or equivalent escalated support, incident response, recovery and on-call experience.
• Solid programming skills: ability to read backend code, debug application behavior, build operational tooling and test smaller fixes.
• Understanding of distributed systems, asynchronous processing, retries, timeouts, idempotency and failure recovery.
• Practical observability experience across metrics, logs and traces, including alert design and service-level indicators and objectives.
• Experience troubleshooting cloud services, Linux, network connectivity and relational databases; familiarity with CI/CD and infrastructure as code.
• Clear incident communication, sound judgment under pressure and ownership of follow-up work.
• Ability to use AI tools critically, validate generated code and operational guidance, and follow client access and data-handling rules.
• Willingness to join a shared 24/7 on-call rotation, including nights and weekends.

AI Native Working Practices

Use approved AI tools to assist with code investigation, diagnostic queries, automation, tests, runbooks and incident summaries. Check suggestions against telemetry and system behavior, test changes and follow production change controls. Engineers remain responsible for operational decisions and execution.

Preferred Experience

• Temporal or Temporal Cloud, Kafka and the operation of workflow or messaging platforms.
• Go development and production troubleshooting of Go services.
• AWS and Amazon Aurora; capacity planning, recovery exercises and performance tuning.
• Specification-driven development or AI-assisted engineering; telecom integrations are helpful.

Working Hours and On Call

Full-time remote work with U.S. team overlap, including availability until at least 7:00 PM CET/CEST on regular working days. Scheduled on-call duty provides 24/7 coverage, including nights and weekends; it is standby availability with incident response when needed.
The planned model targets acknowledgement and start of investigation within 30 minutes for P1 and 60 minutes for P2 incidents. Final rotation, escalation arrangements and on-call compensation will be agreed during hiring.

Why Work With Us?

Our Culture

• Open communication and a focus on psychological safety
• Recognition of achievements and individual contributions
• Collaboration across multicultural and distributed teams
• Less bureaucracy and greater focus on outcomes
• Opportunity to work with modern AI-assisted engineering practices
• Direct involvement in technically challenging enterprise platforms

Hiring Process

1. Intro Call
2. Technical Interview
3. Manager Interview
4. Client Technical \ Manager Interview
5. Pre-offer Stage + Reference Check, if requested
6. Official Offer