AI & Cloud Engineering Manager — Hybrid, Reston

Szns Solutions Llc.; Reston (VA); Hybrid; USD 150,000 - 230,000; Full time

Benefits offered by this job

Hybrid work environment

Competitive salary

Professional development opportunities

Job summary

SZNS Solutions Llc. is seeking an Engineering Manager to lead a top-tier engineering team and bridge technical strategy with execution. You will oversee delivery across AI, data, cloud, and Web3 initiatives, mentoring engineers and collaborating with leadership.

Applicants should have a strong cloud background (GCP preferred), a track record shipping production-grade code, and a passion for disciplined delivery and continuous improvement.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
• 5+ years of software engineering experience with prior experience leading developers or owning end-to-end technical delivery.
• Strong foundation in system design and cloud architecture (preferably GCP).
• Proven track record shipping production-quality code in fast-paced environments.
• Active daily use of AI-enabled coding tools to accelerate development workflows.

Responsibilities

• Own day-to-day engineering delivery across multiple client engagements and internal platform initiatives.
• Mentor, grow, and create a culture of ownership and continuous improvement.
• Collaborate with product and technical leadership to plan complex projects across AI, GCP, and Web3 domains.
• Establish best practices for code quality, performance, and maintainability.
• Identify risks early and improve team processes for faster, more predictable delivery.

Skills

Cloud architecture

Team leadership

AI tooling

Education

Bachelor's degree in CS/Engineering

Tools

Cursor

GitHub Copilot

Claude Code

Job description

SZNS Solutions Llc. is seeking an Engineering Manager to lead a top-tier engineering team and bridge technical strategy with execution. You will oversee delivery across AI, data, cloud, and Web3 initiatives, mentoring engineers and collaborating with leadership.

Applicants should have a strong cloud background (GCP preferred), a track record shipping production-grade code, and a passion for disciplined delivery and continuous improvement.