About DevAppsIT

A team of seasoned professionals.

We are a collective of enterprise technology veterans — engineers, architects, and operators who have built, scaled, and run AI systems at some of the world's largest organizations. Every engagement is led by professionals who have been in the trenches, not just the boardroom.

3
Global geographies
24/7
Follow-the-sun delivery
SOC 2
Type II aligned
ISO 27001
Information security
Trusted By

Enterprise clients we have served.

Hitachi logo
Fisher Investments logo
Wipro logo
United Healthcare logo
Partners

Technology partners we build with.

Anthropic logo
Dynatrace logo
Datadog logo
Splunk logo
Who We Are

Seasoned professionals. Real-world operators.

Our team is not learning on the job. We bring decades of combined experience building and operating enterprise-grade systems across financial services, healthcare, telecommunications, and government sectors.

  • Average 15+ years experience
    Every team member has spent over a decade delivering complex enterprise programs — from mainframe modernization to cloud-native AI pipelines.
  • Former Big Four & FAANG engineers
    Our architects and leads have held senior roles at Deloitte, Accenture, AWS, Google, and Microsoft. They bring insider knowledge of how large organizations actually work.
  • Delivery-led, not sales-led
    You will work directly with the people who design and build your solution. No bait-and-switch. No junior bench warmers.
  • Domain depth
    We specialize. Our professionals understand regulated industries, compliance frameworks, and the political reality of enterprise change — not just the technology.

Global presence

Engineering and delivery teams operate across three geographies, providing follow-the-sun coverage and regional compliance alignment.

Dallas, USA
Melbourne, Australia
Hyderabad, India

Security & compliance

Aligned with SOC 2 Type II, ISO 27001, GDPR, and HIPAA. Customer-defined data residency, BYO-key encryption, and segregated environments.

Our expertise

Machine Learning EngineeringMLOpsCloud ArchitectureData EngineeringEnterprise AIKubernetesGenerative AIPlatform EngineeringDevOpsSecurity Architecture
Operating Principles

How we think about enterprise AI.

Infrastructure first
Models are commodities. Infrastructure decides whether AI works in production.
Observability is non-negotiable
If you cannot see it, you cannot operate it. OTel everywhere.
Governed autonomy
Agents earn authority through policy gates and audit, not blind trust.
Cloud-native by default
Kubernetes, GitOps, progressive delivery — the boring choices that scale.
Production from day one
Every project is engineered against SLOs, not slides.
Transfer, not dependency
We build capability in your team. Our goal is to make ourselves unnecessary.
Join Us

Work with professionals who have been there.

Whether you need a single specialist or a full delivery team, you will get experienced professionals who understand enterprise reality.