Senior DevOps Engineer
New
A
AHEADIT asset management
Listing location: United States; Workplace type: Remote; Structured job location: United StatesFull-TimeSenior
Salary140,000 - 160,000 USD per year
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Job Details
- Experience
- 5+ years in DevOps, platform, or infrastructure engineering
- Required Skills
- AWSDockerPostgreSQLMicrosoft SQL ServerCI/CDDatadogCloudFormation
Requirements
- Have 5+ years of experience in DevOps, platform, or infrastructure engineering, with deep hands-on AWS experience.
- Bring strong infrastructure-as-code skills; CloudFormation is used, and Terraform or similar experience translates.
- Have a track record of building and running CI/CD pipelines for production systems.
- Have experience with observability tooling, ideally Datadog, including metrics, logging, tracing, and alerting.
- Understand cloud security, including IAM, encryption, network design, and least-privilege practices.
- Have experience running containerized workloads with Docker and Amazon ECS on Fargate.
- Have hands-on experience operating relational databases in production, ideally SQL Server and PostgreSQL on AWS.
- Take a methodical approach to troubleshooting live production problems.
- Be comfortable with at least one scripting language and modern AI development tools, and verify work before shipping.
- Be comfortable sharing on-call, responding calmly to incidents, communicating clearly, and following through on root causes.
- Communicate clearly with engineers and non-technical stakeholders.
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.
- Build observability in Datadog through 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 drive fixes to prevent recurring problems.
- Troubleshoot live production issues across containers, databases, and network paths.
- Support Amazon RDS SQL Server and Aurora PostgreSQL performance, capacity, backups, and upgrades.
- Monitor and tune platform cost and performance as the platforms grow.
- Collaborate with software engineers and mentor the team on operational excellence.
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