Platform Operations Engineer

Leidos•Bethesda, MD

9d•Hybrid

About The Position

Leidos is presenting an opportunity for a TS/SCI-cleared Platform Operations Engineer to join a high-impact team focused on the design, development, and deployment of a modern technology stack for the DOMEX Technology Platform (DTP). This role supports the customer's mission to centralize and standardize the Tasking, Collection, Processing, Exploitation, and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the Defense Intelligence Enterprise. The team values inclusion, innovation, collaboration, and continuous professional growth. While the majority of work is performed on-site in Bethesda, MD, a flexible schedule is offered, and some tasks may be completed remotely. As a Platform Operations Engineer, you will collaborate with a team to ensure the availability, reliability, and performance of a full stack, containerized microservices platform. You will also partner with systems engineers, developers, integrators, and system administrators in key areas.

Requirements

BS in Engineering, Computer Science, Systems Engineering, or related field (or equivalent experience) with 8+ years of relevant experience; 6+ years with a Master’s; additional experience may substitute for a degree
Active TS/SCI clearance with the ability to obtain and maintain a polygraph
At least one DoD 8570.01 M IAT Level II+ certification (e.g., Security+ CE, CySA+, CCNA Security, SSCP, CISSP (or Associate))
Ability to obtain Privileged User Account (PUA) certification
Experience with Kubernetes, GitLab pipelines, Linux, and containerized environments
Experience supporting enterprise scale production systems
Experience with cloud services (preferably AWS) and cloud infrastructure
Familiarity with Elasticsearch, PostgreSQL, Logstash, Kibana, and Keycloak
Demonstrated success in cross functional coordination and execution
Strong communication skills and the ability to perform under pressure during incidents

Nice To Haves

Experience with Agile methodologies
Experience with creating customized dashboards to track SLIs and other key performance indicators
Development experience (Bash, PowerShell, SALT, Python, Groovy, Java, etc.)
Experience with Appian or other low-code platforms
Experience with technologies such as Kafka, AMQP/JMS, Prometheus/Grafana, GPU-based Kubernetes, SALT automation, Nexus, or GraphQL
Knowledge of security best practices (authN/Z, secrets management, data protection)
Infrastructure-as-code experience (CloudFormation, Terraform, Pulumi)
AWS cloud certifications

Responsibilities

Ensuring uptime, performance, and capacity planning for a large scale big data production platform with a microservice architecture running on Kubernetes, Elasticsearch, PostgreSQL, Kafka, and technologies such as Java, Python, React, and low code tools like Appian
Leveraging monitoring tools to proactively detect and resolve issues
Leading triage, troubleshooting, root cause analysis, and post incident reviews
Defining and tracking reliability metrics
Participating in release planning, scrums, design sessions, bug triage, and cross team coordination