Job Description

Responsibilities:

• Designing and implementing core platform components with an emphasis on reliability, scalability, and operational safety.
• Building and maintaining cloud-native infrastructure, including networking, compute, and service orchestration.
• Owning deployment workflows, warm-up processes, rollout strategies, and rollback mechanisms for production environments.
• Establishing and maintaining platform standards for monitoring, alerting, logging, and incident response.
• Developing and enforcing guardrails to reduce operational risk from abuse, misconfiguration, or traffic anomalies.
• Defining and tracking SLIs, SLOs, and KPIs related to uptime, latency, and platform health.
• Using AI-assisted engineering tools (Cursor, Claude Code, etc.) to improve development velocity and operational insight.
• Documenting architecture, operational procedures, and known failure scenarios.

Requirements:

• 5+ years of experience in platform engineering, infrastructure engineering, or SRE-adjacent roles.
• 5+ years of experience with Python.
• Solid experience working with GNU/Linux and Bash / Shell scripting.
• Strong experience operating distributed systems in production.
• Hands-on expertise with at least one major cloud provider (AWS, GCP, Azure).
• Practical experience with:
  • Containerization and orchestration (Docker, Kubernetes, Nomad, etc.);
  • Infrastructure as Code (Terraform, Pulumi, CloudFormation);
  • CI/CD systems and automated release pipelines.
• Proven ability to design for high availability, fault tolerance, and low-latency systems.
• Experience building or operating platforms with strict uptime and reliability requirements.

Nice to Have:

• Experience with Go.
• Experience with proxies, load balancers, or edge platforms.