Senior DevOps Engineer
Indexed description
- Employee Ownership: Your contributions directly impact the company’s success, and you share in its achievements.
- Continuous Learning: Access to resources, training, and mentorship to support your professional growth.
- Inclusive Culture: A workplace where diversity is celebrated, and everyone’s voice is valued.
- Mission-Driven Work: Engage in projects that make a meaningful difference for our clients and communities.
Working@AIS
At AIS, we are dedicated to providing our employees with diverse opportunities to grow their careers while supporting a variety of impactful projects. For this position, we are seeking a talented individual to join AIS as a Senior DevOps Engineer.
- Core Knowledge & Skills: Masters CI/CD best practices and toolchains, multiple scripting languages, cloud platforms, and Kubernetes; integrates security into pipelines (DevSecOps).
- Work & Complexity: Designs complex workflows, leads incident response for critical systems, and automates advanced deployment and configuration scenarios.
- Quality & Independence: Sets a high bar for availability and performance, develops comprehensive test suites, and makes significant technical decisions with minimal oversight.
- Teamwork & Communication: Leads collaborative efforts, mentors juniors, facilitates decisions, and communicates complex issues to stakeholders.
- Consulting & Engagement: Leads optimization initiatives, provides expert guidance on tools and practices, and contributes to strategic projects.
Senior DevOps Engineer
Location:
- Occasional onsite visits are in Washington, DC or Austin, TX, but mostly remote.
- Secret or (Interim Secret required prior to starting)
Key Responsibilities
Kubernetes & Container Operations
- Support management of AKS clusters across dev/test/prod environments, assisting the team with day-to-day operations
- Build, scan, and harden Linux-based container images; push to private Azure Container Registry using Docker or Podman
- Work with kubectl, Helm, Kustomize, and Istio service mesh configurations
- Perform container vulnerability scanning with Trivy and remediate CVEs for cyber approval processes
- Develop and maintain CI/CD pipelines using Azure DevOps or GitLab YAML syntax
- Contribute to Terraform modules and automation frameworks used across teams for infrastructure provisioning
- Write Bash scripts for Linux-based automation tasks; PowerShell and Python experience a plus
- Support KEDA-based workload scaling patterns and event-driven architecture implementations
- Assist with technical deployments and ongoing operations for platforms including Elasticsearch/Kibana, Keycloak, RabbitMQ, and Azure AI infrastructure
- Troubleshoot complex infrastructure issues involving Application Gateway, private endpoints, Entra ID integration, and APIM
- Contribute to documentation and runbooks that enable team autonomy
- Minimum 5 years of IT/DevOps engineering experience
- Active Secret clearance (or Interim Secret prior to start)
- CompTIA Security+ certification
- AZ-104 or AZ-305 certification
- Strong Bash scripting proficiency in Linux environments
- Hands-on experience building and managing Linux-based containers (Docker or Podman)
- Familiarity with Kubernetes tooling: kubectl, Helm, Kustomize
- Experience with pipeline YAML syntax (Azure DevOps, GitLab, GitHub Actions, or similar)
- Infrastructure as Code experience with Terraform
- Understanding of Azure services: AKS, Azure Networking, Entra ID, Azure SQL, App Gateway
- Experience with CI/CD concepts across multiple toolchains
- Scripting experience in Python
- Experience with cARMY Cloud or GOV Cloud.
- Experience evaluating and implementing modern Kubernetes patterns (e.g., event-driven autoscaling, service mesh, GitOps) to replace legacy workloads
- Proven ability to assess existing infrastructure and drive adoption of modern container orchestration strategies
- Experience with Kubernetes-native observability tooling including logging, metrics, and tracing (e.g. Elastic/ELK Stack, Prometheus + Grafana, Azure Monitor / Container Insights)
Applied Information Sciences does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis. Employment decisions are based solely on qualifications, merit, and business needs.
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