Senior Software Engineer (Devops) - Observability Platform

Requirements

• 7+ years of experience as a software engineer, with 3+ years focused on building and maintaining observability platforms or highly distributed systems
• Familiarity with monitoring, alerting, and incident response best practices
• Expertise in designing and implementing APIs and data pipelines for high-throughput, real-time data ingestion
• A practical understanding of distributed systems and their unique observability challenges
• Hands-on experience with core observability tools, such as Prometheus, Grafana, Loki, ELK stack (Elasticsearch, Logstash, Kibana), Jaeger, OpenTelemetry, etc.
• Experience with containerization and orchestration technologies (Docker, Kubernetes) and infrastructure as code tools (e.g., Ansible, Terraform)
• Proficiency in Python as your primary engineering language

Nice to Have

• Previous experience in a DevOps, SRE, or developer experience role
• Experience with multiple cloud platforms (AWS, GCP, Azure) and their native observability services
• Contributions to open-source observability projects
• A track record of prototyping and sketching new solutions to complex problems

What You'll Be Doing

• Designing, implementing, and assembling scalable and resilient observability solutions across logs, metrics, and traces, leveraging existing market solutions or technologies from scratch
• Building robust APIs and data pipelines to ingest, process, and expose observability data to product teams
• Collaborating closely with product teams to understand their observability needs and integrate solutions that empower them to monitor, alert, and debug their components effectively
• Optimizing the observability infrastructure for performance, accuracy, cost-effectiveness, and an exceptional user experience
• Developing and maintaining tooling to automate the onboarding/sunsetting of components to the observability platform and streamline data collection
• Contributing to the strategic roadmap of the observability platform, identifying and implementing new features and improvements