Site Reliability Engineer

Job Summary

Site Reliability Engineers (SRE's) cover the intersection of Software Engineer and Systems Administrator. In other words, they can both create code and manage the infrastructure on which the code runs. This is a very wide skillset, but the end goal of an SRE is always the same: to ensure that all SLAs are met, but not exceeded, so as to balance performance and reliability with operational costs.As a Site Reliability Engineer I, you will be learning our systems, improving your craft as an engineer, and taking on tasks that improve the overall reliability of the VP platform.

Key Responsibilities:

• Design, implement, and maintain robust

  monitoring and alerting

  systems.
• Lead observability initiatives by improving

  metrics, logging, and tracing

  across services and infrastructure.
• Collaborate with development and infrastructure teams to

  instrument applications

  and ensure visibility into system health and performance.
• Write Python scripts and tools for

  automation, infrastructure management, and incident response

  .
• Participate in and improve the

  incident management and on-call process

  , driving down Mean Time to Resolution (MTTR).
• Conduct

  root cause analysis

  and postmortems following incidents and champion efforts to prevent recurrence.
• Optimize systems for

  scalability, performance, and cost-efficiency

  in cloud and containerized environments.
• Advocate and implement

  SRE best practices

  , including SLOs/SLIs, capacity planning, and reliability reviews.

Required Skills & Qualification

• 1+ years

  of experience in a Site Reliability Engineer or similar role.
• Proficiency in

  Python

  for automation and tooling.
• Hands-on experience with

  monitoring and observability tools

  such as Prometheus, Grafana, Datadog, New Relic, OpenTelemetry, etc.
• Experience with

  log aggregation and analysis tools

  like ELK Stack (Elasticsearch, Logstash, Kibana) or Fluentd.
• Good understanding of

  cloud platforms

  (AWS, GCP, or Azure) and container orchestration (Kubernetes).
• Familiarity with

  infrastructure-as-code

  (Terraform, Ansible, or similar).
• Strong debugging and

  incident response skills

  .
• Knowledge of

  CI/CD pipelines

  and release engineering practices.