DevOps Engineer

DevOps Engineer

StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.

The Engineering Operations team builds and operates the infrastructure, observability, and automation systems that power our engineering environment. This role focuses on owning and improving AWS infrastructure, with an emphasis on infrastructure as code, operational reliability, and scalable platform practices across distributed systems.

StackAdapt is a remote-first company and this role is open to candidates located within Canada.

What You'll Be Doing

• Build, maintain, and improve shared infrastructure and platform services.
• Own and optimize AWS services used across engineering.
• Develop and manage infrastructure as code workflows, primarily with Terraform and Terrateam.
• Support reliable, secure deployments across cloud and Kubernetes environments.
• Improve observability through metrics, logs, and tracing.
• Troubleshoot infrastructure and service issues in distributed systems.
• Establish infrastructure standards, documentation, and operational practices.
• Partner with engineering teams on resilient, scalable system design.

What You'll Bring to the Table

• 5+ years in DevOps, SRE, Infrastructure, or Platform Engineering.
• Strong experience operating AWS infrastructure in production.
• Hands-on experience with Terraform and IaC workflows at scale.
• Experience with Kubernetes or other containerized environments.
• Familiarity with observability tools such as Prometheus and Grafana.
• Experience supporting reliability, incident response, and production operations.
• Demonstrated ability to safely leverage AI to increase development efficiency.

Nice to Have

• Experience with Terraform, Terrateam, Ansible, Vault, Consul, Kubernetes, ArgoCD, Prometheus/Grafana, Packer, Redis, and GitHub Actions.
• Familiarity with AWS networking concepts such as VPCs, routing, load balancers, and security groups.
• Experience with large-scale distributed systems and infrastructure automation.

StackAdapter's Enjoy

• Highly competitive salary
• Retirement/ 401K/ Pension Savings globally
• Competitive Paid time off packages including birthday's off!
• Access to a comprehensive mental health care program
• Health benefits from day one of employment
• Work from home reimbursements
• Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
• Robust training and onboarding program
• Coverage and support of personal development initiatives (conferences, courses, books etc)
• Access to StackAdapt programmatic courses and certifications to support continuous learning
• An awesome parental leave program
• A friendly, welcoming, and supportive culture
• Our social and team events!

Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.

StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you're comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know. We use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting. We do not use AI to make any final hiring or interview decisions.