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Platform Engineer Contractor
Bengaluru · Mid Level
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What we know about this role
MEDIUM
EarnIn is reviewing applications at a steady pace. Expect a standard response time as they evaluate the current pool.
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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 an internship building AI-powered solutions that directly impact 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 is based in Bengaluru, India, with two days a week in-office required as part of our expanding site location, and is a 6-month contract engagement with a start date in January 2027.
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 code that lasts beyond the internship.
- Collaborate with engineers across the Bengaluru and Mountain View Platform teams; present your work and learnings to the broader team.
- Shadow incident triage and on-call workflows to build context on production operations (no on-call responsibilities).
WHAT WE'RE LOOKING FOR
- Currently pursuing a 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 university
- Experience with Python, Go, or another backend language — coursework or personal projects count.
- Familiarity with cloud platforms (AWS preferred), containers (Docker), or infrastructure-as-code concepts (Terraform, Kubernetes); classroom or personal-project experience counts.
- Eagerness to learn and actively use AI-assisted development tools (Cursor, Claude Code, GitHub Copilot, or equivalent) as part of your day-to-day workflow — this is a core expectation, not a nice-to-have.
- 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 — you take initiative, seek feedback, and iterate quickly; moderate guidance is a plus.
- Prior internship or project experience in platform engineering, infrastructure automation, or site reliability is a plus.
- Familiarity with Datadog, PagerDuty, or similar observability and incident-management tools is a plus.
- Experience calling LLM APIs (OpenAI, Anthropic, or similar) or building agent-style workflows in a project context is a plus.
- Exposure to Kubernetes or Helm in any environment (lab, personal cluster, coursework) is a plus.
#LI-Hybrid
At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant.
EarnIn does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.
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