Platform Engineer - Reliability

As a Platform Reliability Specialist at Square point, you will play a critical role in ensuring the stability, performance, and day to day reliability of the shared platform services. You will work with a diverse group of stakeholders, including developers, researchers, and infrastructure teams, to maintain highly reliable systems and drive proactive improvements.

You will be responsible for reducing operational toil, improving response and learning from production issues, and evolving our reliability practices. This role blends software engineering, platform ownership, operational ownership, and long‑term architectural thinking to enhance our production systems. While you may have deep expertise in one or more areas, you will contribute across the platform.

• Operations & Toil Reduction:
  Own and improve day‑to‑day platform operations by streamlining workflows and enhancing on‑call ergonomics through better automations and runbooks
• Reliability Engineering & Hardening:
  Work with service owners to apply engineering principles to improve resilience and performance: harden critical services against degradation and outages.
• Tooling & Automation:
  Build and maintain platform tools, automation, and Git Ops workflows that make it easy for teams to deploy, operate, and observe their services with minimal friction and operational overhead.
• Knowledge & Standards:
  Capture and share reliability knowledge through documentation, runbooks, and post‑incident reviews. Help define and evolve reliability standards and best practices across the platform.

• 4+ years in SRE, Production Engineering, or Reliability Engineering roles with direct ownership of production systems.
• Experience with system administration and troubleshooting (Linux, Bash, containers).
• Software development experience with Python, version control (Git), and CI/CD systems.
• Hands‑on experience with observability systems including metrics, tracing, log pipelines, and alert design.
• Demonstrated experience running systems at scale, including performance tuning, HA/DR architectures, and resilience engineering.

• Expertise in a modern observability stack (e.g., Prometheus, Grafana, ELK, Victoria Metrics).
• Experience operating enterprise platform software such as Kubernetes clusters, Git Lab at scale, or Slurm environments.
• Familiarity with messaging systems (Kafka/Rabbit
  
  MQ), service discovery (Consul), and databases (Postgre
  
  SQL, Click House, Redis).
• Experience authoring runbooks, running failure/chaos experiments, and participating in DR exercises.
• Infrastructure automation and configuration management experience (e.g., Ansible, Terraform, Puppet).