Nirav Patel
Senior Software Engineer
8+ years · Canada · North America
Reduced payment insertion latency by 90%, making the upstream pipeline 50% faster.
- Go
- PostgreSQL
- Kubernetes
- GCP
- AWS
Staff Augmentation for Engineering Teams
Experienced, AI-Ready Engineers for Your Team
Add production-ready engineers who bring seniority, specialized expertise, and modern AI-assisted development practices, alongside your team from day one.
- No Obligation
- Ardan-Vetted Engineers
- North America & Nearshore
Trusted by 1,800+ companies worldwide
50,000+ engineers trained · 16+ years
You're Probably Facing One of These Challenges
Your Roadmap Shouldn't Wait on the Hiring Process
"Critical work is stalling while roles stay open."
How we help
We match senior engineers who join your team and start contributing, so your engineers can keep shipping instead of interviewing.
"We need expertise our team doesn't have yet."
How we help
Engineers with real production experience in Go, Rust, Kubernetes, Python, cloud infrastructure, and distributed systems.
"The roadmap is growing faster than headcount."
How we help
Add experienced capacity exactly where delivery pressure is highest, working in your tools, process, and standards.
"We want AI in our workflow without lowering the bar."
How we help
AI-ready engineers who use agents and AI tooling to move faster while keeping review, testing, best practices, and maintainability intact.
How it works
From Alignment to Impact
- Step 01
Understand your team
Your technical environment, skill gaps, team structure, project requirements, and timeline.
- Step 02
Match proven engineers
Engineers with the production experience, expertise, and judgment the work actually requires.
- Step 03
Integrate and deliver
Engineers are pre-onboarded, then join your tools, processes, and priorities as part of the team.
- Step 04
Ongoing support
Ardan Labs stays involved after placement with continuous advocacy for you and the engineer.
AI-ready engineering
Production engineers. AI ready.
AI readiness isn't simply knowing how to use a coding assistant. It's using AI effectively while preserving human judgment, testing, review, reliability, and maintainability.
AI-Assisted Development
Use AI throughout development without outsourcing engineering judgment.
Agent Workflows
Work with AI agents to plan, implement, test, and iterate.
Context Engineering
Give AI the architecture, requirements, and constraints it needs to produce useful work.
Production Standards
Review, test, and maintain AI-assisted code to the same bar as any production code.
Teams trust our engineers
Engineers With Production Track Records
Lucas Romanó
Senior Software Engineer
9+ years · Brazil · Nearshore
Built anti-cheat telemetry, BI analysis, and user banning serving millions of users for a major video game publisher.
- Go
- SRE
- Kubernetes
- AWS
- Azure
Customer outcome
Embedded engineering for production AI infrastructure
An AI startup in highly regulated industries needed HIPAA and SOC 2 compliant infrastructure across AWS, GCP, and air-gapped Kubernetes. Ardan engineers joined the team and built it in Go and Kubernetes.
Compliant deployments in cloud and air-gapped environments, with the client's team fully owning the platform.
Questions Engineering Leaders Ask First
Straight answers about how Ardan Labs Staff Augmentation works.
Staffing often stops at a résumé. We start with your technical environment, match engineers vetted for production work, and stay involved after placement through pre-onboarding, active integration, and continuous advocacy.
Engineers in our network go through a deep technical review, Ardan-led training, and ongoing mentorship. We look for production experience and engineering judgment, not keyword matches.
Yes. North American engineers offer full time-zone alignment; nearshore engineers work U.S. hours with more flexibility for team structure and capacity. Both meet the same Ardan Labs technical standards and get the same ongoing support.
It starts with a focused conversation about your systems, timelines, and skill gaps. Timing depends on the expertise and engagement model you need, and we'll give you a realistic picture in that first conversation.