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Lead Software Engineer

Job

Insight Global

Suffolk, VA (In Person)

$86,320 Salary, Full-Time

Posted 2 weeks ago (Updated 2 days ago) • Actively hiring

Expires 6/7/2026

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Job Description

Job Description Insight Global is seeking a Lead Software Engineer to support a federal program in Suffolk, VA.
  • Lead and contribute to the development of high-quality, scalable software solutions supporting JLLIS
  • Serve as the technical owner of the system, including architectural direction and design decisions
  • Guide and mentor a team of developers and a QA engineer, fostering a collaborative and productive team culture
  • Collaborate with project leadership and stakeholders to translate functional and operational needs into technical solutions
  • Participate hands-on in the full software development lifecycle, from planning through deployment and sustainment
  • Support upcoming architectural and search-related changes, including efforts related to Elasticsearch and MongoDB search
  • Ensure adherence to best practices for coding, testing, documentation, and deployment
  • Troubleshoot and resolve production issues while maintaining system reliability and performance
  • Work closely with cross-functional teams and end-user representatives to ensure solutions meet mission needs
Compensation:
$40/hr to $43/hr. Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

To learn more about how we collect, keep, and process your private information, please review
Insight Global's Workforce Privacy Policy:
https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements
  • 5 years of experience with a Bachelor's degree in a related field, 3 years with a Master's degree, or 9 years of relevant experience in lieu of a degree
  • Proficiency in JavaScript and/or TypeScript
  • Strong understanding of software engineering fundamentals, including object-oriented design, data structures, and algorithms
  • Experience across the full software development lifecycle (design, development, testing, deployment)
  • Experience working in Agile environments (Scrum, Kanban) and familiarity with tools such as Jira and Confluence
  • 2+ years of technical leadership or team lead experience, including mentoring junior engineers
  • Experience with MongoDB, including data modeling and performance considerations
  • Experience with Elasticsearch, particularly during migrations or search platform transitions
  • Experience migrating away from Elastic App Search or Enterprise Search
  • Familiarity with React and full-stack application development
  • Experience with Node.js and backend API development
  • Experience with Docker, Kubernetes, and containerized environments
  • Experience working in Linux-based development environments
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines
  • Experience supporting large-scale or mission-critical systems

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