Software Engineer

Senior Software Engineer, EngOpsStackAdapt 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 Core Services Site Reliability Engineering team sets the foundations and maintains the principles of reliable engineering across StackAdapt's core service teams.Core service teams power StackAdapt's software backend, where all data processing occurs. The Core Services SRE team ensures robust and reliable software by building and operating self-healing systems that automatically deploy and manage the scaling of core services software, while championing and evangelizing the principles of reliable software and Site Reliability Engineering across the organization.StackAdapt is a Remote First company, we are open to candidates located anywhere in the United States or Canada for this position.What You'll Be Doing:Maintain tooling, libraries, and infrastructure leveraged by all core service teamsDevelop and maintain infrastructure services that enable engineers to manage, deploy, and scale systemsAct as a technical leader, guiding core service teams to design robust and reliable softwarePropose, design, coordinate, and implement cross-cutting initiatives impacting all of core services, both as an individual contributor and as a technical leaderPropose, design, document, and communicate evolving SRE best practices to keep StackAdapt's core service backend maintainableConduct security reviews for new projects, technologies, and servicesWhat You'll Bring to the Table:At least 5 years experience in Infrastructure, Cloud, or Backend engineeringAt least 5 years experience with AWS, or other Cloud providerStrong programming, system design, and scripting skillsDeep understanding of infrastructure as a code and application/network securityExperience setting up complex AWS environments with TerraformDatabase management experience is a plusExperience with our existing technologies is a strong plus: Terraform, Vault, Nomad, Packer, Vagrant, Boundary, Consul, Waypoint, Redis, Aerospike, Go, ScyllaDB, Elasticsearch, RDS, Grafana, Prometheus, Kafka, Envoy, NginxStackAdapter's Enjoy:Highly competitive salaryRetirement/ 401K/ Pension Savings globallyCompetitive Paid time off packages including birthday's off!Access to a comprehensive mental health care programHealth benefits from day one of employmentWork from home reimbursementsOptional global WeWork membership for those who want a change from their home office and hubs in London and TorontoRobust training and onboarding programCoverage and support of personal development initiatives (conferences, courses, books etc)Access to StackAdapt programmatic courses and certifications to support continuous learningAn awesome parental leave programA friendly, welcoming, and supportive cultureOur 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.