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Senior Platform Software Engineer

earnin.com Logo

EarnIn

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Location:
India , Bengaluru

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Platform at EarnIn strives to operate as a platform-as-product organization. We build the foundation that empowers product teams to ship quickly and safely: golden-path CI/CD, Kubernetes runtimes, observability, self-service workflows, and paved paths exposed through our developer control plane. We hold a high bar for operational excellence and measure our impact through developer velocity, reliability, and cost efficiency.

Job Responsibility:

  • Design and evolve GitOps-based continuous delivery with Argo CD and Argo Rollouts (progressive delivery, automated rollbacks), integrating with our CI pipelines and standardized Helm/Kustomize workflows
  • Advance our Kubernetes platform on AWS EKS with strong multi-env hygiene, security (Pod Identity/RBAC), and rollout strategies
  • partner on cluster-level upgrades and “cluster vending” patterns for safer blue/green upgrades over time
  • Leverage our developer control plane (Cortex) to expose paved paths, scorecards, and self-service actions (bootstrap, deploy, SLOs, operations) so teams can move from idea to production smoothly
  • Strengthen observability and operational excellence: SLOs/error budgets, Datadog metrics/traces/logs, RUM (where applicable), and blameless postmortems that lead to preventive actions and automation
  • Partner with SRE to embed reliability gates into pipelines (pre-merge and pre-deploy validation, canary policies), and improve MTTD/MTTR through better telemetry and predictable rollback strategies
  • Contribute to and maintain service scaffolds, templates, and shared frameworks that encode standards (testing, security, telemetry), and keep supported language/framework versions aligned to platform baselines
  • Apply AI responsibly across diagnostics, validation, and CI/CD/ops workflows (e.g., anomaly detection, test generation, performance triage), measuring outcomes and iterating for impact

Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or related experience
  • 4+ years in platform, infrastructure, or backend engineering with deep hands-on experience in Kubernetes (preferably EKS) and cloud-native architectures on AWS
  • Expertise in GitOps and CD (ArgoCD/Argo Rollouts) and CI (GitHub Actions
  • reusable workflows, shared actions) for multi-service systems at scale
  • Strong coding skills in Go and/or Python (Java/Kotlin is a plus), treating infrastructure as software
  • fluency with Helm/Kustomize and Terraform (IaC) for platform automation
  • Solid observability skills (Datadog APM/metrics/tracing/logs) with a track record of improving reliability and driving SLO/error-budget culture
  • Experience with service mesh (e.g., Linkerd) and traffic management patterns for progressive delivery and resilience
  • Demonstrated AI fluency applied to the SDLC (validation, diagnostics, automation) with a bias for measurement and iteration
  • Excellent communication and collaboration skills
  • mentoring mindset and ability to influence teams toward consistent standards and safer delivery at speed

Nice to have:

  • Experience evolving multi-cluster strategies (blue/green upgrades, cluster vending), automated validation (e.g., Testkube), and DR/chaos practices is a plus
  • Hands-on contributions to developer productivity insights (lead time, change fail rate) and FinOps observability for cost-aware engineering decisions are a plus
What we offer:
  • healthcare
  • internet/cell phone reimbursement
  • a learning and development stipend
  • opportunities to collaborate with and travel to our Palo Alto HQ and Bangkok Site

Additional Information:

Job Posted:
January 04, 2026

Work Type:
Hybrid work
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