Senior DevOps Automation Engineer

• Creation and management of AWS cloud infrastructure and configuration as well as ensuring systems and services are leveraging best practices, security, and standards.
• Provide strong partnership with development teams to develop internal platforms and services to enable expediency and self-service for development teams.
• Build, deploy, and operate infrastructure and services across our multi-platform environment: AWS, Netlify, and Supabase.
• Use AI-powered tools (e.g., Cursor, Claude Code, GitHub Copilot, or equivalent) to accelerate infrastructure work, generate and review automation, and build self-service workflows.
• Automate repetitive operational work end to end, including provisioning, environment setup, deployments, rollbacks, scaling, patching, and routine maintenance.
• Provide partnership with other teams such as financial, legal, and operations.
• Provide, maintain, and optimize the build process to support continuous integration.
• Investigates, debugs and drives improvements to the engineering and build automation process.
• Support and improve efficiency and effectiveness of tools (CI/CD, automated testing, automation and release).
• Work cross-functionally to assess risk and help deliver countermeasures that protect customers and company data.
• Ensure that the SaaS services and associated infrastructure maintain required levels of security, availability, reliability, scalability, and performance to meet SLAs.
• Build incident management, operational monitoring, and alerting capabilities to proactively report, troubleshoot, and fix problems.
• With the team, own vendor management for existing and new vendors the team leverages.
• Regular on-call rotations for team owned services and infrastructure.

Qualifications:

• 5+ years of industry experience enabling developers through DevOps, platform engineering, or automation.
• Industry experience with security and vulnerability of cloud infrastructure (prevention, detection, and remediation).
• Strong experience building and maintaining AWS (Amazon Web Services) infrastructure (EC2, ELB, ALB, VPC, IAM, Route53, Lambda, Kinesis, CloudWatch, etc.).
• Ability to debug across DNS, TLS, HTTP, networking, processes, IAM, and Postgres.
• Hands-on experience with Netlify & Supabase.
• Experience deploying and managing infrastructure with Terraform.
• Demonstrated ability to build python applications with clear interfaces, tests, validation, and failure handling.
• AI-native developer productivity, comfortable using and securing AI tools in the SDLC (code assistants, automation, prompt/tool orchestration) 
• Proven track record of automating manual operational work end to end, including self-service tooling, CI/CD pipelines and driven automation across AWS, Netlify, and Supabase.
• Strong experience with pipeline tools such as GitHub Actions.
• Diligent mentality, robust sense of responsibility/accountability and strong verbal/written communication, documentation, and collaboration skills.
  • Demonstrated experience collaborating with a team to develop and enhance amazing platforms and services.