Site Reliability Engineer

Cybage Software

Pune District

On-site

INR 2,500,000 - 4,000,000

Full time

14 days+

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Job summary

Cybage Software in Pune, India seeks an experienced SRE/DevOps engineer to grow the reliability of C#/.NET services and cloud workloads. You will diagnose memory leaks, thread exhaustion, and GC pressure; implement AWS compute patterns (EC2 Auto Scaling, ECS, Lambda); build infra with CloudFormation or CDK; and strengthen observability using CloudWatch and X-Ray.

The role includes on-call rotation, blameless postmortems, defining SLIs/SLOs, incident response, capacity planning, and mentoring

Qualifications

  • 8+ years in SRE, DevOps, or platform engineering roles.
  • C#/.NET engineering ability — reading, debugging production code; diagnose memory leaks, thread exhaustion, and GC pressure.
  • AWS compute fluency across EC2 Auto Scaling, ECS Fargate, and Lambda; when to use each.

Responsibilities

  • Own reliability and incident response for production services.
  • Build and maintain observability stacks (CloudWatch, X-Ray) and service health dashboards.
  • Design and implement infrastructure-as-code (CloudFormation/CDK).
  • Collaborate with platform teams on architecture decisions and scalability.
  • Mentor engineers on SRE principles and operational excellence.

Skills

SRE/DevOps
C# / .NET
AWS compute fluency
Observability
Automation scripting
Incident response
Cross-team collaboration
AI tooling openness

Tools

CloudFormation
CDK
CloudWatch

Job description

  • Read, debug, and contribute to production C#/.NET code to diagnose and fix app-level reliability issues.
  • Identify and resolve memory leaks, thread pool exhaustion, and GC pressure before they manifest as incidents.
  • Partner with application engineers to embed reliability into new feature design and deployment practices.
  • Instrument .NET services with distributed tracing and structured logging to surface runtime anomalies early.
AWS Compute & Infrastructure
  • Operate and optimize EC2 Auto Scaling, ECS Fargate, and Lambda workloads — with clear judgment on when each is the right fit.
  • Build and maintain infrastructure-as-code using CloudFormation or CDK for consistent, reproducible environments.
  • Automate operational tasks, deployment pipelines, and disaster recovery procedures.
  • Continuously reduce toil through tooling and automation, freeing the team for higher-impact engineering work.
RDS SQL Server Operations
  • Manage RDS SQL Server deployments including Multi-AZ failover configuration and read replica setup.
  • Operate backup and point-in-time recovery (PITR) processes and validate restore procedures regularly.
  • Diagnose and resolve performance issues: slow queries, missing indexes, and blocking chains.
  • Capacity plan and scale database infrastructure to support transaction volume growth.
Observability & Monitoring
  • Build and maintain observability stacks using CloudWatch metrics, log insights, and alarms; AWS X-Ray for distributed tracing.
  • Own service health dashboards, SLOs/SLIs, and drive data-driven reliability improvements.
  • Design alerts that surface signal — not noise — and ensure on-call responders have the context to act quickly.
  • Conduct root cause analysis (RCA) on incidents and lead blameless post-mortems to capture lessons and prevent recurrence.
Networking & Security
  • Design and maintain secure AWS network topologies: VPCs, subnets, security groups, and NACLs.
  • Configure and manage ALB/NLB routing, Route 53 DNS, and TLS certificate lifecycle via ACM.
  • Author and review least-privilege IAM policies; audit roles and resource-based policies for over-permissioning.
  • Support compliance and security controls relevant to a PCI-regulated payments environment.
  • Participate in on-call rotation to respond to production incidents and drive swift resolution.
  • Define and track error budgets; use them to balance velocity and reliability investment.
  • Communicate status updates clearly during incidents and coordinate cross-functional response.
  • Maintain and improve runbooks, escalation paths, and on-call health over time.
Cross-Functional Partnership
  • Collaborate with platform engineering teams on architecture decisions and scalability requirements.
  • Share observability and reliability best practices with application teams.
  • Mentor engineers on SRE principles and operational excellence.
  • 8+ years in SRE, DevOps, platform engineering, or a systems-focused software engineering role.
  • C#/.NET engineering ability — can read, debug, and contribute to production code; experience diagnosing memory leaks, thread exhaustion, and GC pressure.
  • AWS compute fluency: hands-on depth across EC2 Auto Scaling, ECS Fargate, and Lambda, with informed opinions on when to use each.
  • RDS SQL Server operational experience: Multi-AZ failover, read replicas, backup/PITR, slow query analysis, and blocking chain resolution.
  • Native AWS observability proficiency: CloudWatch (metrics, logs, alarms), X-Ray, and infrastructure-as-code via CloudFormation or CDK.
  • AWS networking and security competence: VPCs, security groups, ALB/NLB, Route 53, TLS/ACM, and least-privilege IAM.
  • SLO discipline: experience defining SLIs/SLOs against real metrics, running blameless postmortems, and carrying an on-call pager.
  • Strong scripting ability (PowerShell, Python, or Bash) for automation and operational tooling.
  • Excellent communication skills and a collaborative, blameless engineering mindset.
  • Genuine openness to adopting AI tools and a willingness to experiment with new technology to work smarter and faster.
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