Homealphabench

Careers

Help build the autonomous quant research assistant, design safe, reproducible, and delightful tooling for data, features, modeling, backtesting, risk, execution, and reporting.

Backend Full‑Stack Engineer
Engineering · Bangalore, India · Full‑time

alphabench Mission

Advance alphabench’s mission to make systematic research faster, safer, and more reproducible by building high‑performance, secure, and observable services and data platforms that power our conversation‑driven workflow.

About the role

You will own core backend services and contribute across the stack to deliver a seamless research experience. This is a cross‑functional role: you will design and operate data platforms on AWS (Athena, EMR, Lake Formation), build and optimize services in Go, and own DevOps for your services (Docker, Kubernetes, CI/CD, observability). You will design APIs, integrate data sources, orchestrate compute, and ensure reliability, security, performance, and compliance at scale.

Responsibilities

  • Design and implement APIs for data access, feature engineering, modeling, backtesting, risk, and reporting.
  • Build and optimize high‑throughput Go services using advanced concurrency patterns (goroutines, channels, contexts) and rigorous profiling (pprof, benchmarks).
  • Operate our data lake on AWS: structure datasets for Athena, manage permissions with Lake Formation, and run distributed compute with EMR.
  • Containerize workloads with Docker and deploy, scale, and secure them on Kubernetes (RBAC, autoscaling, resource quotas, multi‑env release management).
  • Own the DevOps lifecycle for your services: CI/CD, observability (metrics, logs, tracing), incident response, and SLOs.
  • Integrate third‑party data providers; establish data lineage, entitlements, and audit trails.
  • Build artifact systems that capture parameters, results, and provenance for reproducibility.
  • Champion security and compliance: access controls, encryption, least‑privilege, and privacy‑by‑design.

Qualifications

  • 5+ years building production systems with a focus on high‑performance backends and data platforms.
  • Advanced Golang expertise: interfaces and generics, concurrency primitives, cancellation via contexts, memory/perf profiling, and testing best practices.
  • Hands‑on with AWS data stack: Amazon Athena, EMR (Spark), and Lake Formation (permissions model, governance).
  • Docker and Kubernetes in production: container design, manifests, scaling/rollouts, and cluster‑level debugging.
  • Experience designing low‑latency, high‑throughput systems with clear performance budgets and capacity planning.
  • Applied security mindset: authN/Z, secrets management, encryption, and least‑privilege access.
  • Excellent communication; comfortable owning projects end‑to‑end, from design through operations.

Nice to have

  • Financial data experience (equities, options, futures, corporate actions).
  • Time‑series/quant research tooling or backtesting frameworks.
  • Experience with columnar formats and query optimization for Athena.
  • Observability stacks (OpenTelemetry), E2E testing, chaos/perf testing.
  • Familiarity with frontend stacks (Next.js, TypeScript) to collaborate across the stack when needed.

Compensation & details

  • Location: Bangalore, India
  • Employment type: Full‑time
  • Compensation: Competitive salary + equity; benefits based on location
Apply now

Please include links to your portfolio, GitHub, and any relevant work.

Don’t see a perfect fit? We’re always excited to meet exceptional people. Reach out at contact@alphabench.in.