Senior Back End Engineer

The Role

As a Senior Backend Engineer,you’ll be a key contributor to the design, development, and scaling of ourobservability platform backend. You’ll work on building high-performance APIs,streaming pipelines, and scalable data stores that ingest, process, and servemillions of telemetry events per second.

You’ll collaborate closely with product managers, frontend engineers,and DevOps to deliver features that power mission-critical monitoring anddiagnostics tools.

Key Responsibilities

• Design and build scalable, reliable, and performant backend servicesfor telemetry ingestion, processing, and querying.

• Architect data pipelines for metrics, logs, and traces using moderntechnologies (e.g., Kafka, ClickHouse, Prometheus, OpenTelemetry).

• Develop REST and gRPC APIs to support frontend dashboards andexternal integrations.

• Contribute to the evolution of our microservices architecture, CI/CDpipelines, and infrastructure-as-code.

• Write clean, testable, and maintainable code with an eye forperformance and scalability.

• Participate in code reviews, architecture discussions, and mentoringjunior engineers.

• Continuously monitor and improve the reliability, observability, andperformance of backend systems.

Tech Stack You Might Work With

• Languages: Go (Golang), Python,Rust (nice to have), TypeScript (for tooling)

• Data: ClickHouse, PostgreSQL,Redis, Kafka, TimescaleDB, Elasticsearch

• Infra: Kubernetes, Docker,Terraform, AWS/GCP

• Protocols: gRPC, REST,OpenTelemetry, OTLP, Prometheus Remote Write

• CI/CD: GitHub Actions, ArgoCD,Helm

What We’re Looking For

• 5+ years of backend development experience, preferably in SaaS orhigh-scale data systems.

• Proficiency in Golang (orstrong experience in other systems languages with a willingness to learn Go).

• Solid experience designing APIs and working with event-drivenarchitectures or streaming data.

• Strong understanding of distributed systems, microservices, andcloud-native architectures.

• Experience with observability tools, telemetry pipelines, or monitoring platforms is a big plus.

• Comfort working in a fast-paced, startup environment with a DevOps mindset and ownership-driven culture.