Senior DevOps Engineer

AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.

At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD.

We are an equal opportunity employer, and do not discriminate based on an individual’s race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived.

We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD.

AHEAD is looking for a curious and pragmatic Senior DevOps Engineer to join our DevOps team and help build and run the cloud foundation behind Hatch, our flagship platform, and the rest of our application portfolio. We’re a leading IT services provider, trusted by some of the world’s largest companies to design, build, run, and modernize their most important technology across cloud, data, AI, and security.

Hatch is an advanced platform for IT lifecycle management, renewal, procurement, and logistics, giving enterprises real-time visibility and control over their IT assets, orders, contracts, and inventory across thousands of sites. Unity, its sibling platform, extends those capabilities to streamline our own operations and service delivery. You’ll join a progressive engineering team that lives on the forefront of technology. We build real products, adopt new tools early, sweat the details, and trade ideas constantly. You will learn here, and you’ll have the autonomy to make a visible impact fast.

Our platforms run on AWS. You’ll share ownership of that foundation with the rest of the DevOps team: the infrastructure as code, the CI/CD pipelines, the observability, and the security posture that let our engineers ship quickly and confidently. You won’t find a static environment here. You’ll work across a variety of challenges, from deployment automation and cost optimization to incident response and platform reliability, in regular collaboration with the software engineers building Hatch, Unity, and the internal services that support them.

Building in the Age of AI

AI has changed what great engineering looks like, and we’ve leaned in. We expect engineers to use AI tools and coding agents fluently to prototype, explore, and accelerate the routine, so that human time goes to what matters: designing resilient systems, exercising judgment, and verifying that what ships is correct and secure. That applies to operations as much as application code. We’re looking for someone who wields these tools with taste.

• Reach for AI to move faster on templates, scripts, runbooks, and research, then review every line like you own it, because you do.
• Spend your judgment where it counts: architecture, reliability, security, and cost.
• Help push the practice forward with better tooling, prompts, and workflows that make the whole team more effective.

What Will You Be Doing?

• Own and evolve our AWS environments, managed as infrastructure as code with CloudFormation.
• Build and maintain GitLab CI/CD pipelines that take code from commit to production quickly and safely.
• Build out observability in Datadog: monitoring, alerting, dashboards, and the signals that tell us how the platforms are really behaving.
• Strengthen our security posture: IAM, least privilege, encryption, network boundaries, and the controls that support our SOC2 program.
• Automate the routine away, from environment provisioning to deployments to operational chores.
• Share the on-call rotation with the team, lead incident response and postmortems, and drive the fixes that keep problems from repeating.
• Troubleshoot live production issues across the stack, from container memory and runtime behavior to database load and network paths.
• Support our databases on Amazon RDS (SQL Server) and Aurora PostgreSQL: performance, capacity, backups, and upgrades.
• Keep an eye on cost and performance, and tune both as the platforms grow.
• Work side by side with software engineers to make the platform easy to build on, and mentor the team on operational excellence.

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