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Sr Manager - Software Engineer

Job in McLean, Fairfax County, Virginia, USA
Listing for: Compunnel, Inc.
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    IT Support, Cybersecurity, Systems Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 250000 USD Yearly USD 250000.00 YEAR
Job Description & How to Apply Below

We are looking for an experienced Sr Manager - Software Engineer to lead a high-performing, technically skilled team that specializes in solving complex internal IT data challenges. This team operates at the intersection of observability, security, and infrastructure visibility—managing tools like Splunk, Cribl, and other data platforms to support enterprise-wide needs. This is not a traditional ETL role; our focus is on APIs, real-time data onboarding, and intelligent data presentation.

The ideal candidate is a technical leader and strategic thinker, able to drive business outcomes while enabling team growth and technical excellence.

Team Focus

  • Solve data-related problems to improve internal IT operations
  • Manage and support platforms like Splunk, Cribl, and other observability tools
  • Enable cloud infrastructure visibility for multiple orgs
  • Focus on APIs, data ingestion, and presentation—not just pipelines or batch jobs
  • Operate and maintain a suite of monitoring, logging, and alerting tools
Ideal Candidate Profile

Technical Expertise (Nice to Have):

  • Experience with observability/monitoring tools:
    Splunk, Data Dog, New Relic, Grafana, Prometheus
  • Familiarity with CI/CD pipelines and tools (e.g., Azure Dev Ops, Git Hub Actions, Terraform)
  • Knowledge of cloud platforms: AWS, Azure, or GCP
  • Scripting or coding experience (e.g., Python, Bash, Power Shell, Node.js) is a plus
  • Comfortable contributing technically, especially with dashboards, data flows, or tooling (not required)
Leadership &

Soft Skills:

  • Strong communication and prioritization skills; adept at “managing up”
  • Comfortable mentoring, guiding, and developing senior-level engineers
  • Able to zoom out to the strategic level while driving tactical execution
  • Passionate about problem-solving, process optimization, and stakeholder alignment
  • Proven ability to build relationships across departments (engineering, product, security, ops)
Core Responsibiliti
es
  • Lead and grow a senior-level engineering team focused on data onboarding and platform support
  • Drive sprint planning, backlog prioritization, and agile ceremonies
  • Own and evolve project roadmaps in partnership with stakeholders and product managers
  • Build and maintain strong relationships with cross-functional teams (Security, Infrastructure, Product)
  • Ensure timely and high-quality delivery of technical solutions that support cloud visibility and monitoring
  • Foster a culture of continuous improvement, ownership, and innovation
  • Advocate for scalable, maintainable architecture and tooling choices
Qualifications
  • Bachelor’s degree in Computer Science or related field (Master’s preferred)
  • 10+ years of relevant experience in software engineering, with at least 3+ years in a technical leadership or management role
  • Solid understanding of observability stacks (Splunk, Cribl, Data Dog, New Relic, etc.)
  • Familiarity with cloud-native technologies and infrastructure as code
  • Proven experience working in Agile/Dev Ops environments
  • Excellent interpersonal and stakeholder management skills
  • Experience in service ownership models like SaaS, PaaS, IaaS
  • Agile team structure with fast-paced delivery cycles
  • Remote-first, with team members across time zones
  • Must be comfortable working independently and collaboratively
  • Ability to adapt to evolving requirements, priorities, and toolsets
Bonus Points
  • Experience with data routing platforms like Cribl
  • Previous work in security operations or infrastructure observability
  • Experience integrating monitoring solutions into CI/CD workflows
  • Strong interest in building internal tooling and platforms for other engineering teams
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