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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

We have a real passion for delivering the best product experience for our community members. We work closely with all teams and share responsibility for rapidly delivering production-ready features to our community. We build or contribute to infrastructure, reliability tooling, and practices that help teams ship quickly and safely. We think a lot about things like good alert hygiene, friendly runbooks, clear SLOs, and how to make deployments feel boring in the best possible way. As an SRE, you are a well-rounded practitioner in designing, observing, and operating our systems in production. Rather than following established playbooks, you are starting to write them. You work with confidence across observability tooling, incident response, and infrastructure-as-code, and you know how to communicate tradeoffs clearly to the engineers and teams around you. This position will be hybrid, based in our Bengaluru office, with 2 days a week required in the office, as part of our expanding site. EarnIn provides excellent employee benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to collaborate with and travel to our Palo Alto HQ and Bangkok Site. Our salary ranges are determined by role, level, and location. We are unable to provide visa sponsorship or immigration support for this position. We are unable to provide visa sponsorship or immigration support for this position.

• Design systems with resilience, graceful degradation, and capacity in mind.
• Define and measure SLOs and SLIs that actually reflect what our customers feel.
• Use Datadog (logging, metrics, APM) together with CloudWatch to build signal-heavy, noise-light observability.
• Configure alerting and routing that reach engineers through incident.io, where we run incident management and on-call, so that when a human gets paged, it really matters.
• Continuously improve our incident lifecycle, from fast detection and solid triage, through clear communication, to blameless, actionable follow-ups.
• You will combine solid software fundamentals with reliability thinking so our systems are highly available, easy to debug, and a joy to work on. You know that the only good 2 a.m. alert is the one that never fires in the first place.

WHAT WE'RE LOOKING FOR

• You have a software background and a genuine curiosity about how large-scale systems behave in production.
• You ask good questions, document what you learn, and share it back with the team.
• You are calm under pressure, excited to learn from incidents rather than fear them, and willing to be on-call.
• You collaborate well and believe that transparency and documentation make teams stronger, not slower.
• You are genuinely excited about AI, not just as a productivity tool, but as a platform for building smarter, more autonomous SRE operations. You build with it, validate what it produces, and push its limits responsibly.
• You believe observability is fundamental, not optional, and you want to understand the 'why' behind every alert.
• You are a quick learner who adapts to new technical environments and is comfortable with ambiguity.
• Bachelor's degree in Computer Science, Engineering, or a related field
• 1+ years of hands-on experience in an SRE, DevOps, or Software Engineering role (internships count).
• Coding proficiency in Python, Go, or a similar language; automation experience is a strong positive signal.
• Some exposure to cloud infrastructure (AWS preferred) and containerization (Docker, Kubernetes).
• Familiarity with monitoring concepts: you have worked with metrics, logs, or traces and want to go deeper.
• Awareness of SLOs and SLIs as concepts -- you understand why reliability matters to end users, not just to ops teams.
• Active, enthusiastic use of AI productivity tools (Cursor, Claude Code, GitHub Copilot) for coding, debugging, and infrastructure work. This is a non-negotiable baseline: all engineering roles at EarnIn require AI fluency.
• At least one example of using an LLM or AI agent to automate a task or accelerate debugging. A personal project, internship deliverable, or coursework example is fine.
• Eagerness to build agentic AI workflows: automating alert-to-Slack pipelines, drafting postmortem summaries, building runbook bots, or similar. You know this is the future of SRE, and you want to be at the front of it.
• Clear, honest communication: you update your team on blockers, share what you learn, and ask for help without hesitation.

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.