Sr. Software Engineering Manager (Cybersecurity & Endpoint Management)

Remote • Posted 4 hours ago • Updated 4 hours ago
Contract W2
Contract Independent
12 Months
No Travel Required
Remote
Up to $110/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Software Engineering Leadership
  • Endpoint Security
  • Endpoint Management
  • Cybersecurity
  • Cyber Security
  • Endpoint Protection
  • DevOps
  • Microsoft
  • SaaS
  • SDLC
  • Release Management
  • Release Governance
  • Engineering Team Management
  • Team Management
  • Security Governance
  • Security Compliance
  • project management
  • Leadership
  • people management
  • Engineering Manager
  • SOC 2
  • Team Leadership
  • Performance Management
  • Technical Leadership
  • Roadmaps

Summary

Position: Senior Software Engineering Manager

Location: 100% Remote (customer is based in Texas)

Employment mode: Contract to hire

About the Role

Client is an Endpoint Security Software Company seeking a high-calibre software development leader to run the engineering organisation behind their own security software product set: Bot, Vision, Studio, and Policy Editor. This is a multi-product leadership role, not a single-codebase role. Their product works by keeping Windows Endpoints secure and consistent, so your employees stay up and running safely and securely.

The person in this seat owns the operating cadence, staffing accountability, release discipline, quality management, architecture coordination, and budget stewardship required to deliver reliable product value on a consistent cadence. Just as importantly, this leader owns the design, vision, continuous improvement, and ultimate success of Aiden s software development lifecycle (SDLC), including how the company plans, builds, tests, secures, releases, and learns from software delivery.

This role has 10-15 years of IT Experience with a minimum of 5-10 years in project management and leadership roles. You will have direct managerial responsibility for the software development team resources, including quarterly performance conversations, annual performance reviews, coaching, hiring, accountability, and day-to-day leadership of the people on the team. The role works closely with the co-Founder & CTO, Sean, senior engineering contributors, QA, Product, Customer Success, Security, Finance, and other cross-functional stakeholders.

What You Will Own:

  • Engineering delivery across the software product set/platform, which includes a Bot, Vision, Studio, a Policy Editor, reporting initiatives, Ask the Bot-related capabilities, and related integrations. Leveraging AI to the utmost!
  • The operating rhythm of the software development organisation, including standups, sprint planning, backlog hygiene, architecture reviews, release readiness, defect triage, and escalation handling.
  • A reliable release cadence with rollback readiness, strong QA discipline, and fewer production surprises.
  • Direct people management for software development resources across product engineering, QA, release operations, architecture coordination, and product-facing database/application performance collaboration.
  • Cross-functional coordination with teams responsible for infrastructure, core IT, access control, software licensing, cloud resources, and security governance so that development requests follow the right approval and control processes.
  • Vendor and contractor management across software development workstreams, including scope, quality, accountability, and cost effectiveness.
  • A disciplined, AI-forward engineering model that uses AI-assisted engineering, agentic workflows, and modern development approaches to increase speed, leverage, and capital efficiency without weakening architecture, governance, or release reliability.

Required Qualifications:

  • 8-12+ years of software development leadership experience, including management of engineering teams, releases, quality, and roadmap execution.
  • A strong track record leading multiple work streams and distributed teams with cross-functional dependencies.
  • Credible technical depth in modern software development, architecture oversight, SDLC design, and engineering process leadership.
  • Demonstrated comfort with direct managerial accountability, including hiring, coaching, performance management, quarterly conversations, and annual reviews.
  • Experience leading quality-assured release cycles with measurable standards around timeliness, quality, uptime, and incident response.
  • Experience managing engineering budgets, vendors/contractors, and tradeoffs between cost, speed, and quality.
  • Strong written and verbal communication skills, including the ability to communicate with executives, engineers, customers, auditors, and investors.
  • Experience with Agile / Scrum / Azure DevOps or similar development operating systems.
  • Comfort operating in a smaller, high-accountability growth company where the leader must combine strategy, detail, and hands-on management discipline.

Preferred Background:

  • Experience leading engineering teams building enterprise SaaS, endpoint management, Windows-based systems, cybersecurity-related products, or IT operations software.
  • Experience with Microsoft-oriented ecosystems, database/application performance oversight, integrations, release governance, and cross-functional product delivery.
  • Experience in AI-assisted software development, agentic development workflows, AI-enabled QA, or modern human-plus-agent engineering models.
  • Experience rebuilding or professionalising an engineering organisation that needed stronger delivery rigour, quality control, and release reliability.
  • Exposure to SOC 2, development governance, security reviews, and audit support.
  • Success working with globally distributed and partially fractional engineering teams

What Success Looks Like:

  • Strategic releases ship on time with a reliable bi-weekly cadence, stronger rollback readiness, and reduced release drama.
  • Engineering quality improves through stronger QA discipline, clearer ownership, fewer escaped defects, and better production confidence.
  • The team becomes more accountable, more predictable, and easier to manage across full-time, fractional, offshore, and contractor resources.
  • The SDLC becomes clearer, faster, and more scalable, with better sprint hygiene, better release governance, and better post-release learning.
  • AI is implemented thoughtfully as a force multiplier for speed, quality, and capital efficiency.
  • Engineering becomes a source of customer and investor confidence in Aiden s roadmap and execution.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91070970
  • Position Id: 8979230
  • Posted 4 hours ago
Contact the job poster
Tarun Suthar

Tarun Suthar

Senior Technical Recruiter @ Simple Solutions
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