Senior Observability Engineer

Leidos UK

Multiple Locations, USA
Base: $107,900.00 - $195,050.00; bonus/equity: not...
Enterprise observability solutions
Devsecops practices and automated pipelines
Design logging, metrics, tracing architectures
This Department of War enterprise data and analytics program delivers mission-critical capabilities that enable leaders across the Department to make faster, better-informed decisions using trusted data at scale

Job Summary

  • This Department of War enterprise data and analytics program delivers mission-critical capabilities that enable leaders across the Department to make faster, better-informed decisions using trusted data at scale.
  • In this role, you will work alongside government partners, engineers, and other industry teammates to translate operational and strategic requirements into scalable, production-ready solutions.
  • This position offers the opportunity to work on a high-visibility, enterprise program at the intersection of data, analytics, and emerging AI technologies.

Matching Summary

This Department of War enterprise data and analytics program delivers mission-critical capabilities that enable leaders across the Department to make faster, better-informed decisions using trusted data at scale.

Salary

Base: $107,900.00 - $195,050.00; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • enterprise observability solutions
  • DevSecOps practices and automated pipelines
  • design logging, metrics, tracing architectures
  • containerized environments and microservices
  • root cause analysis and performance optimization
  • Agile software development methodologies

Nice-to-have

  • mission impact motivated
  • complex stakeholder environments
  • deep domain expertise
  • SAFe Agile frameworks
  • DoD Security Technical Implementation Guides
  • Zero Trust monitoring

Key Requirements

  • Active Top Secret (TS) clearance with SCI eligibility
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or related technical discipline and 8–12 years of relevant experience OR Master’s degree in a related field and 6–10 years of relevant experience
  • Minimum of 8 years of experience in software engineering, systems engineering, or a related field
  • Experience in at least 4 of the following: Advanced analytical approaches and large-scale predictive analytics, DevSecOps practices and automated pipelines, Configuration management operations and tools, Implementing enterprise observability solutions, Designing logging, metrics, and distributed tracing architectures for cloud-native systems, Supporting containerized environments (e.g., Kubernetes, Docker) and microservices architectures, Conducting root cause analysis and performance optimization in production environments
  • Proficiency in Agile software development methodologies
  • Ability to design and implement software testing tools and procedures
  • Strong understanding of software development, integration, and testing processes
  • Strong problem-solving skills

Work Rights

Active Top Secret (TS) clearance with SCI eligibility

Tailored Resume

Cover Letter