Engineering Manager

SZNS Solutions

Engineering Manager leading the engineering team for AI and cloud solutions at SZNS Solutions. Focused on high-quality delivery and mentoring in a collaborative environment.

Posted 4/27/2026full-timeReston • Virginia • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

CloudGoogle Cloud PlatformWeb3

About the role

Key responsibilities & impact

Own day-to-day engineering delivery across multiple strategic client engagements and internal platform initiatives, ensuring that tasks are clear, prioritized, and progressing.
Building a culture of ownership, craft, and continuous improvement while increasing team autonomy, efficiency, and effectiveness.
Collaborate closely with product and technical leadership to break down, scope, and plan complex technical projects across our AI, GCP, and Web3 domains.
Ensure high standards for code quality, system performance, and maintainability by establishing best practices and guiding architectural decisions.
Proactively identify risks and escalate them early, improving team processes so that our delivery becomes faster and more predictable.

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
5+ years of software engineering experience with prior experience formally leading developers, managing teams, or owning end-to-end technical delivery.
Strong foundation in system design, cloud architecture (preferably GCP), and backend engineering.
Demonstrated experience building and shipping production-quality code in ambiguous, fast-paced environments.
Active daily use of AI-enabled coding tools (e.g., Cursor, GitHub Copilot, or Claude Code) to accelerate development workflows and increase throughput.
Active Google Cloud certifications, or willingness to obtain within one month of joining.
Curiosity, experimentation with latest technologies, and bias for action.
U.S. Citizen
Preferred Qualifications
Experience scaling engineering teams in high-growth startups or professional services companies.
Background in managing teams working on AI/ML pipelines, LLM tooling, or Web3/blockchain integrations.
Experience improving messy or low-process environments and establishing agile delivery cycles.

Benefits

Comp & perks

Competitive salary and benefits package
Hybrid work environment (MWF in-person in our Reston office)
A collaborative and innovative work environment
Continuous learning and development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

software engineeringsystem designcloud architecturebackend engineeringproduction-quality codeAI-enabled coding toolsagile delivery cyclestechnical deliveryarchitectural decisionsrisk identification

Soft Skills

ownershipcontinuous improvementteam autonomyefficiencyeffectivenesscuriosityexperimentationbias for actioncollaborationleadership

Certifications

Bachelor’s degree in Computer ScienceGoogle Cloud certifications