SharkOps
New Capability

Forward Deployed Engineering Pods

Client-facing engineers who turn AI, Cloud, DevOps, and Automation ideas into production-ready outcomes.

From Problem Discovery to Production

SharkOps Forward Deployed Engineering Pods combine hands-on engineering, business understanding, and client-facing execution. Our engineers work close to your teams to understand real operational problems, build rapid POCs, automate workflows, modernize platforms, and support delivery from idea to production.

The Gap We Close

Where great ideas stall — and where our pods step in

Ideas Stuck in Slides

POCs and automation ideas that never leave the whiteboard because no one owns turning them into working software.

Business–Engineering Gap

Requirements lost in translation between business teams and engineers, slowing delivery and misaligning outcomes.

Slow Idea-to-Production

Months between concept and shipped solution due to ramp-up, handoffs, and missing hands-on capacity.

Manual, Repetitive Toil

Operational workflows still done by hand that could be automated with AI-enabled tooling and assistants.

Aging Platforms

Legacy stacks across cloud, on-prem, and hybrid that need modernization without disrupting the business.

What Our Forward Deployed Engineers Do

Embedded engineers who take problems all the way to production

Solution Planning

Understand client problems and convert them into clear, actionable technical solution plans.

AI Automation

Build AI-enabled automation workflows and operational assistants that remove repetitive toil.

POCs & Blueprints

Create rapid proof of concepts, demos, and implementation blueprints to prove value fast.

Infra & DevOps Automation

Support cloud, DevOps, Kubernetes, CI/CD, and infrastructure automation end to end.

Requirements Bridge

Work with business and engineering teams as a bridge between requirements and delivery.

Reliability & Modernization

Improve observability and incident response, and modernize platforms across cloud, on-prem, and hybrid.

Core Skills

AI / GenAI Cloud Engineering DevOps & Platform Kubernetes Terraform & Ansible CI/CD Automation Observability & SRE DevSecOps Backend / API Integration Client-Facing Delivery

How Our Pods Engage

A close-to-the-client model that moves from idea to production fast

1

Understand

Embed with your team to uncover real business and operational problems worth solving.

2

Prototype

Build rapid POCs, demos, and blueprints to validate the solution and prove value early.

3

Build & Automate

Engineer production-grade automation across AI, cloud, DevOps, and Kubernetes.

4

Deliver & Support

Move solutions into production and support reliability, observability, and iteration.

Outcomes You Can Expect

Faster Idea-to-Production

Move from concept to working, deployed solution in weeks — not quarters — with embedded engineers.

AI-Driven Automation

Replace manual toil with AI-enabled workflows and assistants that scale your operations.

Consultant + Engineer Mindset

Engineers who think like consultants, build like engineers, and deliver like owners.

Why SharkOps

One of the early teams in North India building Forward Deployed Engineering capabilities across AI, Cloud, DevOps, and Automation.

Our engineers think like consultants, build like engineers, and deliver like owners.

Frequently Asked Questions

What is a Forward Deployed Engineer?
A Forward Deployed Engineer works directly alongside your teams to understand real business and operational problems, then designs, builds, and ships solutions into production. They combine hands-on engineering with business understanding and client-facing execution — bridging requirements and delivery.
How is this different from traditional consulting?
Traditional consulting often stops at recommendations and slides. Our Forward Deployed Engineers embed with your team, build rapid proof of concepts, automate workflows, and take solutions all the way to production — measured by outcomes shipped, not reports delivered.
What kind of problems do Forward Deployed Engineering Pods take on?
AI-enabled automation and operational assistants, proof of concepts and implementation blueprints, cloud, DevOps, Kubernetes and CI/CD automation, observability and reliability improvements, and platform modernization across cloud, on-prem, and hybrid environments.
Where are your Forward Deployed Engineering teams based?
SharkOps builds its Forward Deployed Engineering capability from its Kanpur R&D and Pune delivery teams, working directly with client teams across India and beyond.

Ready to Move from Idea to Production?

Bring us your hardest AI, Cloud, DevOps, or Automation problem — our Forward Deployed Engineers will help you ship it.

Schedule a Free Consultation