• Architect, build, and maintain robust GitLab Pipelines for seamless application deployment • Assist the Platform team with the migration of legacy repositories and workflows from BitBucket to GitLab • Design, deploy, and manage the infrastructure behind our apps—across AWS GovCloud, edge, and Navy networks using Terraform, Ansible, and GitLab • Drive containerization efforts for mission-critical applications and manage Kubernetes • Develop and maintain Helm Charts and ensure cluster resilience through automated Kubernetes backups and recovery testing • Engineer automated processes for RHEL image hardening and execute automated STIG checklists • Integrate automated security scanning into pipelines to maintain Authority to Operate (ATO) status • Establish comprehensive continuous monitoring, alerting, and reporting mechanisms across the platform • Oversee cryptographic lifecycles through rigorous secrets management and automated key rotations.

• Conduct a comprehensive audit of our AWS-based infrastructure (including ECS, Fargate, Terraform IaC, CloudWatch/Sentry monitoring, and disaster recovery setups) and Python/Django application to identify scalability, performance, reliability, and security gaps. • Recommend and implement best practices for high-availability architectures, fault-tolerant mechanisms, and elastic scaling to handle high-traffic scenarios without downtime. • Design and set up a shared tenant instance model, ensuring data isolation, independent scaling per tenant, and compliance with security standards. • Facilitate load testing processes to identify performance optimization opportunities. • Collaborate with our engineering team to enhance CI/CD pipelines, automate deployments, and integrate observability tools for proactive monitoring and alerting.

• You join a team of 35 tech sassy Internet of Things and Sensor Technology engineers. • Partnering with your hiring manager, you: • Design, build, and maintain scalable cloud infrastructure for AI-driven applications. • Own and optimize CI/CD pipelines to enable fast and secure deployments. • Ensure system reliability, performance, and security in sensitive, mission-critical environments. • Work closely with ML engineers to deploy and scale models in production. • Automate infrastructure using Infrastructure as Code (e.g., Terraform). • Monitor systems, troubleshoot incidents, and continuously improve observability. • Sometimes you support field operations by acquiring sensor data on site and validating the technology through controlled field trials.

• Build, maintain, and enhance CI/CD pipeline templates to support services deployed into AWS and client-managed environments • Triage and resolve failed pipelines and deployments, conducting thorough root cause analysis and implementing corrective actions • Support codebases requiring new pipeline template development and modernization • Perform patching, administration, and lifecycle management of core DevOps tooling, including: SonarQube, Sonatype, Nexus, Harness, GitHub, Azure DevOps, and Jira • Lead and support GitHub repository onboarding and associated automation workflows • Operate, maintain, and tune security scanning tools, including rule configuration and optimization for SonarQube, Sonatype, and Nexus • Identify opportunities to improve pipeline efficiency, reduce technical debt, and strengthen secure delivery practices