Senior DevOps Engineer
About The Position
AHEAD is seeking a Senior DevOps Engineer to help build and operate the AWS cloud foundation behind Hatch, its IT lifecycle management platform, Unity, and other applications. The engineer will share ownership of infrastructure as code, CI/CD, observability, security, platform reliability, and operational practices while collaborating closely with software engineers. The role emphasizes using AI tools and coding agents to accelerate routine engineering work while carefully reviewing outputs. The engineer will contribute judgment in architecture, reliability, security, and cost management, and help improve team tooling and workflows.
Requirements
- At least 5 years of experience in DevOps, platform, or infrastructure engineering, with deep hands-on AWS experience.
- Strong infrastructure-as-code skills.
- A track record of building and operating CI/CD pipelines for production systems.
- Experience with observability tools, including metrics, logging, tracing, and alerting.
- Solid understanding of cloud security, including IAM, encryption, network design, and least-privilege practices.
- Experience operating containerized workloads with Docker and Amazon ECS on Fargate.
- Hands-on experience operating relational databases in production.
- Comfort with at least one scripting language.
- Fluency with modern AI development tools and discipline in verifying shipped work.
- Strong troubleshooting skills and sound judgment under pressure; ability to share on-call, stay calm during incidents, communicate clearly, and follow through on root causes.
- Clear, direct communication with engineers and non-technical stakeholders.
- Drive to continue learning and help shape how the team builds and operates.
Nice To Haves
- Experience with Terraform or similar infrastructure-as-code tools.
- GitLab CI experience.
- Experience supporting SOC2 or similar compliance programs.
- Kubernetes experience.
- Experience operating SQL Server and PostgreSQL on AWS.
- Experience debugging Elixir/BEAM or JVM services.
Responsibilities
- Own and evolve AWS environments managed as infrastructure as code with CloudFormation.
- Build and maintain GitLab CI/CD pipelines that move code from commit to production safely and efficiently.
- Develop Datadog observability, including monitoring, alerting, dashboards, and platform signals.
- Strengthen security through IAM, least privilege, encryption, network boundaries, and controls supporting the SOC2 program.
- Automate environment provisioning, deployments, and operational tasks.
- Share the on-call rotation, lead incident response and postmortems, and implement fixes to prevent recurring issues.
- Troubleshoot production issues across containers, runtime behavior, databases, and network paths.
- Support Amazon RDS SQL Server and Aurora PostgreSQL databases, including performance, capacity, backups, and upgrades.
- Monitor and optimize platform cost and performance as the platforms grow.
- Collaborate with software engineers to make the platform easy to build on and mentor the team in operational excellence.
- Use AI tools to accelerate templates, scripts, runbooks, and research; review generated work carefully.
- Help improve team practices through better AI tooling, prompts, and workflows.
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k)
- Paid company holidays
- Paid time off
- Paid parental and caregiver leave
- Training and development opportunities
- Sponsored certifications and credentials
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
