Senior Full Stack Engineer

Location: Bangalore, India

About Us:

At Apica, we build observability platforms that help businesses detect and resolve issues before they impact customers. We value engineers with strong fundamentals, deep technical rigor, and a focus on building scalable, reliable systems. If you enjoy hard engineering challenges, write high-quality code, and think from first principles, youll thrive here.

Were looking for builders and problem-solvers with strong experience in Golang, React, and Python. We especially value candidates with competitive programming or deep algorithmic thinking. If you take ownership, push yourself, and continuously raise the bar, we want to meet you.

Role Overview:

We are hiring a Senior Full Stack Engineer with expert-level Golang skills and strong experience across React, TypeScript, and Python. You will design, architect, and build mission-critical components of our telemetry pipeline stack -- including services that ingest, mutate, enrich, route, and query massive datasets flowing through Apica's Flow into Lake.

This role demands strong system design capabilities, ownership, and the ability to drive projects independently from design ideation to production.

Key Responsibilities:

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 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.

Required Qualifications:

6+ 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.

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, event-driven systems.

Open-source contributions.

Prior mentorship or technical leadership experience.