Platform Engineer (Software/DevOps)

The successful candidate will work with application development and infrastructure teams to containerize applications, enhance deployment pipelines, operate Kubernetes-based platforms, and improve the scalability, security, and observability of production services., * Containerize applications using Docker or compatible container technologies.

• Design and maintain Kubernetes workloads, including Deployments, StatefulSets, DaemonSets, Jobs, Services, Ingress resources, ConfigMaps, and Secrets.
• Develop and maintain Helm charts, Kustomize overlays, or equivalent deployment templates.
• Build and improve CI/CD pipelines for application build, test, security scanning, deployment, and rollback.
• Automate infrastructure and platform operations using tools such as Terraform, Ansible, or cloud-native alternatives.
• Support deployments across development, test, staging, and production environments.
• Implement application configuration, secrets management, health checks, readiness probes, liveness probes, and resource governance.
• Troubleshoot container, networking, storage, deployment, and application-runtime issues.
• Improve platform reliability through monitoring, logging, tracing, alerting, and operational dashboards.
• Apply secure software supply chain practices, including image scanning, vulnerability remediation, artifact management, and least-privilege access.
• Collaborate with software developers to improve application readiness for containerized and distributed environments.
• Participate in incident response, root-cause analysis, and post-incident improvement activities.
• Contribute to technical standards, documentation, runbooks, architecture discussions, and engineering best practices.
• Mentor less-experienced engineers and provide constructive technical guidance where appropriate., * Builds efficient, secure, and maintainable container images.
• Applies multi-stage builds, image-layer optimization, non-root execution, and vulnerability reduction practices.
• Understands container runtime behavior, resource constraints, networking, and persistent storage.

Orchestration

• Deploys and manages applications on Kubernetes or equivalent platforms.
• Configures workload scheduling, scaling, service exposure, health checks, and rolling updates.
• Troubleshoots failed scheduling, crash loops, networking issues, configuration errors, and deployment failures.

Automation and Delivery

• Creates repeatable and automated deployment workflows.
• Implements versioning, promotion, rollback, and environment-management practices.
• Integrates testing, security checks, artifact management, and deployment approvals into delivery pipelines.

Reliability and Operations

• Designs services for availability, recoverability, observability, and operational support.
• Uses logs, metrics, traces, and diagnostic tools to identify and resolve issues.
• Participates in on-call or operational support activities as required.

• Active Top Secret clearance (TS/SCI preferred)
• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or equivalent professional experience.
• Approximately 2-6 years of software engineering, DevOps, platform engineering, or cloud engineering experience, depending on level assessment.
• Professional experience developing or operating containerized applications.
• Hands-on experience with Docker, Podman, or similar container technologies.
• Practical experience with Kubernetes or another container orchestration platform.

• Proficiency in at least one programming or scripting language, such as: *

• Python
• Go
• Java
• JavaScript or TypeScript
• C#

• Bash

• Experience with Git-based source control and collaborative software development practices.
• Experience creating or maintaining CI/CD pipelines using platforms such as GitHub Actions, GitLab CI, Jenkins, Azure DevOps, or similar.
• Understanding of application networking concepts, including DNS, HTTP/HTTPS, TLS, load balancing, service discovery, and ingress.
• Understanding of Linux system administration and troubleshooting.
• Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
• Strong analytical, troubleshooting, communication, and documentation skills.