Lead a short-term migration of application monitoring from New Relic to Grafana. Assess and rebuild dashboards, alerts, synthetic checks, logs, and traces; configure OpenTelemetry and AWS infrastructure telemetry; establish secure AWS networking; validate parallel monitoring and execute production cutover. Work independently, use AI-assisted tools, document the solution, create runbooks, and provide stakeholder updates.
About the client
Our client is a leading European online car marketplace, connecting car buyers and sellers across the continent. The platform serves over 30 million monthly users and operates across 18 countries, making it one of the largest and most trusted digital marketplaces for vehicles in Europe.
About the roleWe are looking for a hands-on Observability / SRE Engineer with strong AWS infrastructure and networking skills to lead a focused, time-boxed migration of the monitoring setup for one application from New Relic to Grafana. You will be embedded in the client's engineering team, while owning the migration end to end and working independently as the sole engineer on this scope.
This is a short-term engagement with a clear deliverable. We value someone who can ramp up quickly, use modern AI-assisted tooling to move faster, communicate proactively with the team, and leave behind a clean, well-documented monitoring setup.
Responsibilities- Assess the existing New Relic monitoring setup for the in-scope application, including dashboards, alerts, SLIs/SLOs, synthetic checks, and log and trace usage.
- Define the migration approach and map New Relic constructs to their Grafana-stack equivalents (Grafana, Prometheus, Loki, Tempo or similar).
- Rebuild dashboards and alert rules in Grafana, validating that coverage and alert quality match or improve on the current state.
Instrument and configure the application and its AWS infrastructure (such as compute, containers, load balancers, and managed services) to send metrics, logs, and traces to the new platform, using OpenTelemetry where applicable. - Set up and validate secure network connectivity between AWS workloads and the Grafana stack, including VPC routing, security groups, VPC endpoints or PrivateLink, and DNS, and troubleshoot connectivity and data-flow issues.
- Run the old and new monitoring in parallel, verify data accuracy, and manage a safe cutover with minimal risk to production visibility; integrate and tune alerting with the team's incident and notification channels.
- Use AI-assisted development tools, including Codex, to improve engineering productivity and delivery speed, for example to translate queries, generate dashboards and configuration as code, and draft documentation, while reviewing and validating all output.
- Document the new setup, hand over knowledge to the team with runbooks, and keep stakeholders informed with regular progress updates and early risk flags.
- 5+ years of experience in DevOps, SRE, or observability engineering, ideally in a high-traffic, cloud-based production environment.
- Strong hands-on experience with Grafana, including dashboard design, alerting, and data source configuration.
- Practical experience with New Relic (APM, dashboards, NRQL, alert policies) and a clear understanding of how to translate it to other tools.
- Experience with Prometheus (PromQL), log and trace tooling such as Loki, Tempo, or the ELK stack, and OpenTelemetry instrumentation.
- Solid hands-on experience with AWS infrastructure, such as EC2, EKS/ECS, IAM, CloudWatch, and S3, and with Infrastructure as Code (e.g., Terraform).
- Strong understanding of AWS networking, including VPC design, subnets, routing, security groups, load balancers, VPC endpoints/PrivateLink, and DNS (Route 53).
- Practical experience using AI-assisted development tools, such as Codex, in day-to-day engineering work.
- Proven ability to work independently and deliver within a tight timeline, with availability to work full-time within Canadian time zone hours and start on short notice.
- Excellent verbal and written English skills.
Nice to have
- Experience with Grafana Cloud or Grafana Mimir.
- Previous monitoring or observability tool migration projects.
- Experience defining SLIs/SLOs and error budgets.
- AWS certification (e.g., Solutions Architect, DevOps Engineer, or Advanced Networking)
NB! Working hours according to the Canadian Timezone, Monday to Friday - availability during these hours is mandatory.
NB2! The role is planned as an initial 3-month engagement, with the opportunity to continue beyond this period depending on the project’s needs and progress.
We offer*:
- Flexible working format - remote, office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
*not applicable for freelancers
Similar Jobs
Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
Lead the AI Quality engineering team while remaining hands-on building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Run experiments across prompts, models, routing, caching, and agent harnesses to improve quality, latency, and cost. Partner with AI Core engineering and manage technical direction and team priorities.
Top Skills:
Ai AgentsBraintrustCi/CdLangsmithLlmsPythonRuby On Rails
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Build and ship AI-native product capabilities, including models, tools, retrieval, and evaluation. Lead technical delivery for product areas, design and review code, partner with product owners, support CI/CD and production readiness, instrument features, improve shared engineering patterns, and mentor AI Product Engineers. The role requires strong software engineering fundamentals, production systems experience, and hands-on AI/ML or generative AI integration.
Top Skills:
Ai/MlSparkAPIsCi/CdDistributed Web SystemsGenerative Ai
Cloud • Security • Software • Cybersecurity • Automation
Leads professional services engagement design, scoping, pricing, and pre-sales for complex DevSecOps and digital transformation implementations across EMEA. Builds executive relationships, conducts discovery, develops proposals, statements of work, staffing plans, and implementation roadmaps, and guides customers through procurement and contracting. Owns engagements from discovery through delivery transition, manages escalations, forecasts bookings, and tracks margin and customer outcomes while enabling sales and delivery teams.
Top Skills:
Cloud ComputingDevsecopsGitlabSoftware Development Lifecycle (Sdlc)
What you need to know about the Hyderabad Tech Scene
Because of its proximity to leading research institutions and a government committed to the city's growth, Hyderabad's tech scene is booming. With plans to establish India's first "AI city," the city is on track to become one of the world's most anticipated tech hubs, with companies like TransUnion, Schrödinger and Freshworks, among others, already calling the city home.
