Sr Development Operations Engineer

Job description

- 4+ years RUNNING production cloud systems day-to-day on AWS owning live services in operation, not just provisioning them or doing one-time deploys. This is the primary bar: you operate, maintain, and observe systems in production, not just get them working on a laptop. - Infrastructure as Code as your primary tool Terraform leading; CloudFormation, SAM, or similar equally fine to provision and manage environments repeatably, under version control and peer review. - Hands-on day-2 operations: monitoring and alerting, on-call / incident response, runbooks and post-mortems, patching and dependency / security upkeep, plus ongoing cost and capacity management. Youve owned the health of a production system, not just its rollout. - Solid AWS breadth across the common building blocks serverless compute, API / gateway, managed databases, object storage and CDN, IAM and VPC networking with least-privilege security as a default habit. (We dont gate on our exact services; transferable AWS depth is what we screen for.) - CI/CD ownership: pipelines with environment promotion, manual production gates, and safe rollback, on any major tool (GitLab CI, GitHub Actions, or similar). No specific scripting language required comfort automating in whatever language fits the job is expected. What Were Looking For - Has built and launched real products from start to finish. They can clearly describe what they built, who used it, and what they personally did. - Uses AI coding tools every day to work faster, and can explain how they use them. - Learns new things quickly. They can give an example of a tool or skill they picked up recently and used well. - Works well on their own. They can take an unclear problem and move it forward without waiting for detailed instructions. - Explains technical things clearly to non-technical people here, engineers work directly with the product team and the sales field. - Is reliable: follows through without being reminded, raises problems early, and takes responsibility for the result, not just the task. - Own the environment as infrastructure as code: provision and manage all environments repeatably under version control and peer review networking, serverless compute, managed databases, object storage, and least-privilege IAM. - Keep production healthy as the day-2 operator: own monitoring and alerting, define the alarms and dashboards worth paging on (and which to suppress as noise), and run the telemetry pipeline that feeds analytics and observability. - Own and harden the security boundary, including edge and single-sign-on authentication against a major identity provider, and keep IAM and network access scoped to least privilege. - Own and evolve the CI/CD pipeline environment promotion, manual production gates, and safe rollback so changes ship to production reliably and can be backed out cleanly. - Lead production incident response end-to-end: drive incidents, maintain runbooks and the on-call rotation, run blameless post-mortems, and stay on top of patching, dependency upkeep, and security maintenance. - Own cost, capacity, and performance: track spend and headroom, partner with product engineers on reliability and security reviews, and explain reliability, cost, and security tradeoffs in plain language to non-engineers across product and the field. The AI Adoption Hub is Infors tool for sales teams to co-create industry AI adoption plans with customers, live in the meeting. Youll own the production posture of this live AWS serverless product end to end infrastructure as code, monitoring, on-call, security, and cost keeping it healthy and reliable as it grows. This is a run-and-operate role on a small, AI-first team, not a deploy-only one. Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.