Bengaluru
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Python
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Socure
Socure is a leading digital identity verification and fraud prevention platform that uses artificial intelligence and machine learning to verify consumer identities in real time. The company analyzes thousands of predictive data points - including biometrics, device intelligence, and email or phone attributes - to accurately authenticate individuals during online onboarding. By providing high accuracy rates across demographic groups, it enables financial institutions, digital healthcare providers, and online platforms to reduce fraud while streamlining user conversion.
We're looking for exceptional Site Reliability Engineers who take pride in building and operating mission-critical, production-grade systems. This role is for engineers who own what they build, thrive in high-pressure environments, and care deeply about reliability, automation, and operational excellence. You'll work at the intersection of AWS, Kubernetes, automation, and observability, with a strong focus on preventing incidents rather than reacting to them.
Responsibilities:
- Own and operate highly available, scalable AWS infrastructure.
- Design, manage, and continuously improve Kubernetes (EKS) platforms.
- Improve production reliability using observability, automation, and SLOs.
- Build and maintain CI/CD pipelines for safe and fast deployments.
- Define infrastructure using Terraform and GitOps.
- Participate in incident response, RCA, and long-term fixes.
- Raise operational standards through automation and best practices.
The core requirements for the job include the following:
Cloud and Infrastructure:
- Strong hands-on experience with AWS (networking, IAM, compute, security).
- Solid experience using Terraform at scale.
Kubernetes:
- Strong Kubernetes fundamentals (internals, networking, storage, scheduling).
- Hands-on experience operating Amazon EKS in production.
- Proven ability to debug complex Kubernetes issues.
Programming and Automation:
- Proficiency in Python and Go.
- Strong automation mindset.
CI/CD and GitOps:
- Experience building and operating CI/CD pipelines.
- Hands-on experience with GitHub Actions.
- Experience with ArgoCD and GitOps workflows.
Observability:
- Strong understanding of metrics, logs, traces, and alerting.
- Experience with Datadog or similar observability platforms.
- Experience defining and using SLIs/SLOs.
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