SZNS Solutions
Engineering Manager
Reston, Virginia · Manager · Full-time · Posted Apr 27, 2026
- Experience
- 5+ years of software engineering experience; prior formal leadership, team management, or end-to-end technical delivery ownership required.
- Education
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
- Visa sponsorship
- U.S. Citizen.
About the job
Leads engineering delivery across client engagements and internal initiatives, managing and mentoring teams and guiding technical execution across cloud, data, AI, and Web3 projects.
What you'll do
- Own day-to-day engineering delivery, keeping work clear, prioritized, and progressing.
- Lead, mentor, and grow engineering teams while building ownership and continuous improvement.
- Plan complex projects with product and technical leadership, guide architecture, and maintain code quality, performance, and maintainability.
What they ask for
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
- 5+ years of software engineering experience, with prior formal developer leadership, team management, or end-to-end technical delivery ownership.
- Strong foundation in system design, cloud architecture (preferably GCP), and backend engineering; demonstrated experience shipping production-quality code in ambiguous, fast-paced environments.
- Active daily use of AI-enabled coding tools; active Google Cloud certifications or willingness to obtain them within one month of joining; U.S. Citizen.
Nice to have
- Experience scaling engineering teams in high-growth startups or professional services companies.
- Experience managing teams working on AI/ML pipelines, LLM tooling, or Web3/blockchain integrations, or improving low-process environments and establishing agile delivery cycles.
Tools
GCP, Cursor, GitHub Copilot, Claude Code, Web3, blockchain, AI/ML, LLM
AI focus
Use AI-enabled coding tools daily to accelerate development and increase throughput; lead or manage work involving AI deployments, AI/ML pipelines, or LLM tooling.
Model-written summary · the original posting is authoritative