Senior Site Reliability Engineer

We are seeking a Senior Site Reliability Engineer (SRE) to join our engineering team. This is a hands-on individual contributor role for an experienced SRE/DevOps/Platform Engineer who can take ownership of high-severity production incidents and drive continuous improvements in platform reliability and resilience. The successful candidate will work closely with global engineering teams, participate in the on-call rotation, troubleshoot production issues, improve observability, and implement automation to reduce operational toil.

The core responsibilities for the job include the following:

Incident Management and Production Support:

• Participate in the on-call rotation and lead high-severity production incidents.
• Drive incident triage, coordinate cross-functional response, and communicate status to stakeholders.
• Troubleshoot production alerts across AWS infrastructure and application layers.
• Distinguish transient issues from systemic failures and take appropriate corrective action.

Monitoring and Observability:

• Own and enhance Datadog monitoring standards.
• Design and maintain monitors, dashboards, SLOs, and SLIs.
• Improve signal-to-noise ratios and reduce unnecessary alert fatigue.
• Monitor system health and identify reliability risks proactively.

Reliability Engineering:

• Identify systemic weaknesses and implement reliability improvements.
• Lead initiatives focused on reducing operational toil and inefficiencies.
• Design and implement automation and process improvements.
• Drive reliability initiatives through implementation and adoption.

RCA, Runbooks, and Documentation:

• Conduct detailed Root Cause Analysis (RCA) for infrastructure and application failures.
• Create structured post-mortems with actionable follow-up items.
• Develop and maintain operational runbooks and SOPs.
• Document operational learnings and continuously improve troubleshooting processes.

Deployment and CI/CD:

• Monitor CI/CD pipelines during deployments.
• Identify potential reliability risks before and during releases.
• Initiate rollbacks following established procedures when system stability is at risk.

Collaboration and Mentorship:

• Mentor junior and mid-level engineers during complex investigations.
• Review runbooks, incident reports, and operational documentation.
• Promote strong troubleshooting and operational best practices across the team.
• Collaborate effectively with global engineering teams across time zones.

Requirements:

• 6-8 years of hands-on experience in SRE, DevOps, or platform engineering.
• Proven experience leading responses to high-severity production incidents.
• Strong hands-on experience with AWS infrastructure.
• Working knowledge of: Amazon ECS, IAM, VPC, ALB/NLB, RDS, S3 MSK, ElastiCache, Lambda, and CloudWatch.
• Strong experience with Terraform / Infrastructure as Code.
• Hands-on experience building and managing Datadog monitors and dashboards.
• Strong understanding of SLOs, SLIs, and error budgets.
• Strong Linux command-line skills.
• Experience writing Python automation scripts.
• Working knowledge of GitHub Actions or GitLab CI for ECS-based deployments.
• Understanding of architectural patterns such as microservices, pub/sub, and load balancing.
• Strong structured troubleshooting and problem-solving skills.
• Excellent written and verbal English communication skills.

Preferred Skills:

• Familiarity with Grafana.
• Experience with RDS or Cassandra performance metrics.
• Basic understanding of financial markets and market data, including equities, options, and market data feeds.
• Experience mentoring engineers or establishing operational best practices.
• Ability to independently learn unfamiliar systems using documentation and runbooks.
• Strong documentation and knowledge-sharing practices.

The ideal candidate demonstrates:

• Strong ownership and accountability.
• A systematic, hypothesis-driven approach to troubleshooting.
• Ability to remain effective under production pressure.
• Strong cross-functional communication.
• Proactive identification and resolution of reliability issues.
• Ability to drive issues from discovery through complete resolution.
• A continuous improvement mindset focused on automation, resilience, and operational excellence.