EarnIn

Financial Services

PlatformServicesContractor

Bengaluru, Karnataka, India CONTRACT
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Entry candidates.

The Brief

“Platform Services Contractor at EarnIn. Skills: AI-powered solution, Infrastructure-as-code, AI-assisted development. Build AI First Responder agent components. Contribute to IaC migration”

What You'll Achieve.

Reducing platform toil; Accelerating delivery for every engineer

Industry & Context.

Financial Services
Eligibility Requirements

Two days a week in the office, Contract role from July 2026 to February 2027, Targeting university students

What They're Looking For.

Must Have

Bachelor's or Master's degree (B. E. , B. Tech, M. Tech, or equivalent) in Computer Science, Software Engineering, or a related field from an Indian graduating December 2026 or later, Experience with Python, Go, or another backend language, Familiarity with cloud platforms (AWS preferred), containers (Docker), or infrastructure-as-code concepts (Terraform, Kubernetes), Eagerness to learn and actively use AI-assisted development tools (Cursor, Claude Code, GitHub Copilot, or equivalent), Comfort working in a Linux/CLI environment and with Git-based version control, Ability to communicate progress proactively, ask good questions, and document your work clearly, Self-starter mindset

Nice to Have

Prior internship or project experience in platform engineering, infrastructure automation, or site reliability, Familiarity with Datadog, PagerDuty, or similar observability and incident-management tools, Experience calling LLM APIs (OpenAI, Anthropic, or similar) or building agent-style workflows in a project context, Exposure to Kubernetes or Helm in any environment (lab, personal cluster, coursework)

What You'll Do.

Build AI First Responder agent components

Contribute to IaC migration

Refactor Terraform modules

Build migration scaffolding

Use AI-assisted coding tools

Present work and learnings

How You'll Work.

Team & Collaboration

Collaborate with engineers across the Bengaluru and Mountain View Platform; Present your work and learnings to the broader team

Communication Scope

Communicate progress proactively; Ask good questions; Document your work clearly

Full Job Description

About EarnIn As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey. POSITION SUMMARY Join EarnIn's Platform Services team for a 6-month internship building an AI-powered solution that directly impacts our Platform Infrastructure. You'll own meaningful end-to-end work across two connected workstreams — reducing platform toil and accelerating delivery for every engineer at EarnIn — under the guidance of senior platform engineers. This position will be based in Bengaluru, India, as part of our expanding site, and is a contract role from July 2026 to February 2027, targeting university students. This role requires two days a week in the office as part of our growing site location. WHAT YOU'LL DO Build components of the AI First Responder agent — an automated on-call triage system that integrates Datadog, Incident.io, and Slack — including agent tooling, evaluation harnesses, and integration workflows. Contribute to the IaC migration away from Terraform Cloud — refactoring Terraform modules, cleaning up policies, and building migration scaffolding that clears tech debt and accelerates platform delivery. Use AI-assisted coding tools (Cursor, Claude Code, Copilot, or similar) throughout both workstreams to develop applied AI skills in a real infrastructure context. Write clean, well-tested, and well-documented

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