Senior Full Stack Engineer

The core responsibilities for the job include the following:

Backend (Primary: Golang):

• Architect and implement high-throughput, low-latency services in Golang that power our telemetry pipelines.
• Build and optimize data-processing paths for high-volume streaming workloads, including mutation, enrichment, routing, and persistence.
• Design and maintain well-structured APIs and microservices.
• Implement fault-tolerant, horizontally scalable components.
• Lead performance, reliability, and throughput improvements across critical data-processing paths.

Full Stack Development:

• Build performant, maintainable front-end interfaces using React + TypeScript + Storybook.
• Develop end-to-end features spanning UI, backend services, data models, and deployment.
• Contribute to the Python codebase for ML-based alerting and auxiliary backend services.

System Architecture and Ownership:

• Drive architectural decisions for data pipelines, distributed services, and query processing layers.
• Own components across their lifecycle: design, development, testing, deployment, and production support.
• Improve system reliability, scalability, and operational efficiency through continuous iteration.
• Establish engineering best practices around code quality, testing, observability, and runtime excellence.

Collaboration:

• Work with Product and SRE teams to deliver production-grade features.
• Document design decisions and choices and communicate trade-offs clearly.
• Provide technical leadership on complex initiatives and mentor junior engineers.

Requirements:

• 7+ years of engineering experience, with deep exposure to large-scale backend systems.
• Expert-level Golang: concurrency, memory management, profiling, and performance tuning.
• Experience building high-volume, real-time distributed data systems (streaming or batch).
• Strong proficiency with React, TypeScript, and modern JavaScript tooling.
• Strong experience in DSA or data structures.
• Solid Python experience for backend or pipeline-related workloads.
• Strong understanding of distributed systems concepts: consensus, sharding, replication, caching, and failure handling.
• Experience with SQL and NoSQL systems and data modeling for scale.
• Hands-on experience with microservices and RESTful API design.
• Demonstrated ability to break down complex problems and deliver high-quality, production-ready solutions.
• Experience with TDD and modern testing frameworks (Vitest, Playwright, Pytest, etc. )

Bonus Experience:

• Work in telemetry pipelines, observability, monitoring, APM, or related domains.
• Experience with columnar storage, object-store-based data architectures, or custom storage engines.
• Experience with OCI/AWS and cloud-native architectures.
• Kubernetes, Docker, Kafka, and event-driven systems.
• Open-source contributions.
• Prior mentorship or technical leadership experience.