DevOps Engineer (US-Based /Part-Time / Immediate)

Innovation is at the heart of what we do. At Implicit, natural language processing, machine learning, and data are at the core of our work. We are looking for a DevOps Engineer to help support and expand our infrastructure and CI/CD pipelines. If you’re eager to grow in the DevOps field, work with cutting-edge technologies, and join a team that values collaboration and innovation, we’d love to hear from you!

Responsibilities

• Build, maintain, and improve CI/CD pipelines using CircleCI (or equivalent tools such as GitHub Actions).
• Deploy, manage, and monitor containerized applications using Docker and Kubernetes (EKS preferred).
• Write and manage Helm charts for Kubernetes deployments.
• Manage infrastructure on AWS (preferred), including services such as Bedrock, SageMaker, and RDS Aurora.
• Use ArgoCD for GitOps-based deployment automation.
• Implement and maintain monitoring and alerting solutions using Prometheus and Grafana.
• Perform container image scanning using tools such as Trivy or Grype to identify and address vulnerabilities.
• Collaborate with engineering teams to troubleshoot and resolve deployment issues.
• Maintain and improve system logging and alerting solutions.
• Follow best practices for security, reliability, and scalability in DevOps workflows.
• Document processes, configurations, and infrastructure changes.
• Should be a US Citizen, domiciled in US.

• 2+ years of experience in DevOps, SRE, or related roles.
• Experience with the US Federal Government and Department of Defense.
• Basic knowledge of Linux operating systems and command-line tools.
• Experience with containerization (Docker) and orchestration (Kubernetes/EKS).
• Hands-on experience with AWS services (Bedrock, SageMaker, RDS Aurora, IAM, VPCs, Cloud Watch etc.).
• Experience with CI/CD tools such as CircleCI, GitHub Actions, or Jenkins.
• Familiarity with Helm for managing Kubernetes applications.
• Exposure to ArgoCD or other GitOps tools.
• Experience with monitoring tools such as Prometheus and Grafana.
• Familiarity with container security tools such as Trivy or Grype.
• Strong knowledge of Git and GitHub workflows.
• Ability to write simple automation scripts (Bash, Python, etc.).
• Strong problem-solving skills and eagerness to learn new technologies.

• Experience with the USAF.
• Experience with Infrastructure as Code (IaC) tools such as Terraform.
• Basic understanding of networking concepts (VPC, subnets, security groups).

• Screening call (30 mins).
• 1–2 technical interviews with Reliability Engineering team (60 mins each).
• Culture interview (60 mins).
• 3 reference calls.
• Final meeting with VP of Engineering or CTO (60 mins).

All interviews are conducted over Zoom. We make sure to respond to every application regardless of the decision.