Build and operate AWS infrastructure for Action1’s autonomous endpoint management platform. Improve deployment automation, production reliability, and security as a hands-on member of the DevOps team, using Terraform, AWS CloudFormation, CI/CD, and Python or Node.js.
Substantial hands-on experience in DevOps, SRE, or cloud infrastructure engineering for production SaaS environments.
Independently identify and solve problems, prioritize work, and coordinate dependencies while keeping others informed.
Deep AWS knowledge and experience designing, operating, and troubleshooting distributed systems across multiple environments.
Strong AWS security operations experience, including assessments, incident investigations, and vulnerability and misconfiguration remediation.
Hands-on observability experience using metrics, logs, and traces to investigate production issues and build actionable dashboards and alerts.
Strong programming or scripting skills in Python, Node.js, or a comparable language for maintainable automation and API integrations.
Strong hands-on experience with Terraform and AWS CloudFormation, supported by Git, code review, testing, and CI/CD practices.
Sound understanding of operating systems, networking, DNS, TLS, identity, storage, and database behavior, with the ability to troubleshoot across system boundaries.
Experience with production incident response, root-cause analysis, and recovery planning.
Practical experience using AI tools in DevOps, including examples of their benefits, limitations, and how you validated and corrected their output.
Analytical thinking and sound judgment: test assumptions, distinguish symptoms from causes, weigh trade-offs, verify results, and recognize when broader review is needed.
Flexibility to collaborate across time zones and adjust working hours for team coordination, planned production changes, and critical incidents.
Nice to have:
Hands-on Datadog experience for production troubleshooting and reliability improvement.
Experience with Terramate for managing Terraform infrastructure across environments.
Experience building operational tools or self-service workflows for provisioning, deployments, and environment management.
Practical SRE experience, including service-level objectives, capacity planning, and reliability reviews.
Experience supporting SOC 2, ISO 27001, or comparable requirements through technical controls and operational evidence.
Experience developing AI agents with appropriate access boundaries, evaluation, and human oversight.
Experience mentoring DevOps engineers and leading infrastructure or operational improvements.
Build and evolve AWS infrastructure:
Design and operate secure, resilient infrastructure across multiple accounts and regions; evaluate architecture decisions against production requirements, operational complexity, performance, and cost.
Build infrastructure as code:
Develop reusable components, reduce configuration drift, and make environments reproducible.
Maintain infrastructure and automation in Git with peer review, testing, documentation, and clear ownership.
Improve deployment pipelines:
Build and maintain CI/CD pipelines, automated checks, deployment controls, and rollback mechanisms.
Develop reliable automation:
Use programming, scripting, and APIs to simplify operations, eliminate repetitive work, and build maintainable tooling.
Apply AI in daily DevOps work:
Use approved tools such as Codex or Claude for infrastructure code, scripting, testing, troubleshooting, operational analysis, and documentation.
Build reusable workflows, review and test outputs, protect sensitive information, and follow established review and change controls.
Strengthen observability:
Improve metrics, logs, traces, dashboards, and actionable alerts.
Investigate performance and capacity constraints, connect telemetry to application behavior, and reduce unnecessary alert noise.
Own production reliability:
Participate in the on-call rotation and lead incident response when needed.
Integrate technical controls into infrastructure and delivery pipelines to meet security and compliance requirements.
Improve cloud efficiency:
Understand cost drivers, identify waste, and evaluate capacity and architecture improvements using measured workload behavior.
Verify savings alongside performance and reliability.
Share operational knowledge:
Review infrastructure designs and automation code, document decisions, and maintain runbooks and technical documentation.
Working hours close to the CET time zone are preferred for regular collaboration and team coordination.
Adjust working hours for team coordination, planned production changes, and critical incidents; this may include working US time-zone hours for a couple of days when needed for meetings, cross-training, or handovers.
