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On-demand technology talent,
delivered from India.

A network of pre-assessed AI, data, cloud and engineering professionals who join your team, work to your priorities and report to your leads. Deployed in one to three weeks, with replacement cover written into the engagement.

The model

A network, not
a single bench.

Dhiveda fronts a data and technology network: a growing ecosystem of Indian boutique technology companies collaborating to supply high-quality technical resources to enterprises globally. That structure is what lets us cover niche skills at speed without carrying every specialist in-house.

Structured network

A three-tier hierarchy (L1, L2, L3) widens access to talent and shortens the time between a brief and a deployed engineer.

Controlled flow

Communication runs through a single centralised channel, keeping one consistent working culture across the whole resource pool.

Quality and compliance

Mandatory skill validation, background checks and SLA-governed performance apply to every resource, wherever in the network they come from.

Security and governance

Confidentiality, IP transfer and data protection are contractual, with compliance to the IT Act and SPDI rules.

Scalable delivery

The same pool supports our AI, cloud, data and engineering services, with fast turnaround and replacement assurance.

Best-fit alignment

We match talent to your technology goals rather than filling a seat, then stay accountable for continuity through the engagement.

Bench strength

Qualified, assessed
and available.

Resources are validated before they reach your shortlist, across the disciplines below. Deployment typically runs one to three weeks from brief to start.

200+ON BENCH

Across every discipline we deliver in

AI/ML and Generative AI Data Science & Data Engineering Software Development DevOps & Cloud (AWS, Azure, GCP) QA & Automation Digital Transformation & Enterprise Systems Platform Engineering & Analytics

Seniority we staff

  • Mid level — 2 to 4 years
  • Senior level — 5 to 10 years
  • Lead level — 11 years and above
  • Team leads, tech leads and project managers

How the bench works

Skills overlap by design: full stack resources also cover backend or frontend work, and AI/ML resources also cover data engineering. Ask for a role and we will come back with availability at the seniority you need, rather than the nearest match.

Why augment

The problems this
actually solves.

Technology moves faster than hiring cycles. These are the pressures clients describe before they come to us, and what we put against each one.

What gets in the way

  • Constant need for updated and specialised skills
  • Niche technical experts are hard to source quickly
  • Specialised roles stay unfilled for months
  • Permanent hiring carries salary and benefit overhead
  • Long-term commitments do not suit project-length needs
  • Team size is difficult to adjust as a project moves
  • Quality and timeline risk builds up in delivery

What we put against it

  • A diverse, pre-assessed pool spanning multiple verticals
  • Candidates checked for quality and readiness before shortlist
  • Remote staffing model delivering talent globally
  • Individual, team or project-based engagement options
  • Team size scales up or down as the project demands
  • Quick replacement with minimal disruption to staffing
  • Structured handover so knowledge does not walk out
Delivery models

Three shapes,
tailored to the need.

Pick the commercial shape that fits the work. All three draw on the same validated bench and the same governance.

OPTION 1

Standard resourcing

Individual specialists augmenting your existing team.

  • Resources provided against specific role requirements
  • AI engineers, data engineers, frontend and backend developers
  • Mobile developers, DevOps specialists and QA testers
  • Assignments from 3 months to 1 year, extendable
  • Replacement warranty within 1–2 weeks
  • Project execution management support included

Best when you know the skill gap and want to fill it.

OPTION 2

Project-based resourcing

A dedicated team assembled around one project.

  • Teams built to match the project's technical requirements
  • Developers, testers, DevOps and analysts in one squad
  • All resources operate under your management
  • Dhiveda handles deployment and continuity
  • You retain delivery responsibility, outcomes and timelines
  • Built for rapid ramp-up against clear objectives

Best when you need a whole squad, fast.

OPTION 3

Crisis management resourcing

Short-notice cover when a delivery date is at risk.

  • On-demand resources for critical timelines or delayed projects
  • People used to working under tight deadlines
  • Typical assignments of 1 to 2 months
  • Support through milestone crunches
  • Cover for sudden resource shortages

Best when the deadline will not move.

How we deliver

Brief to desk,
in weeks not months.

A structured path from requirement to a productive engineer, with the continuity terms agreed before anyone starts.

Requirement gathering

  • Define project scope and clarify objectives
  • Identify the skills the work actually needs
  • Agree the expected duration of engagement

Shortlisting and evaluation

  • Pre-screen candidate profiles for suitability
  • Technical tests and interviews for assessment
  • Detailed assessment reports shared with you
Onboarding

7–15 days

Onboarding completed inside two weeks, with delivery coordination ensuring the resource integrates cleanly into your team.

Delivery management

Weekly rhythm

Performance metrics tracked regularly, continuous feedback loops, and comprehensive reporting throughout the engagement.

Continuity

1–2 weeks to replace

Replacement handled within one to two weeks at no extra cost, with a one-week overlap period so handover is uninterrupted.

Role coverage

The roles we
can staff.

Nine disciplines, from applied AI through to security. If a role is not listed, ask — the network reaches further than the bench.

AI & ML specialists

  • AI Engineer
  • Machine Learning Engineer
  • Applied AI Scientist
  • Deep Learning Engineer
  • NLP Engineer
  • Computer Vision Engineer
  • Reinforcement Learning Engineer
  • LLM Engineer
  • Prompt Engineer
  • Generative AI Developer
  • MLOps Engineer
  • AI Product Manager

Data engineering & platform

  • Data Engineer / Big Data Engineer
  • Real-Time Data Engineer
  • ETL/ELT Developer
  • Data Pipeline Engineer (Kafka, Airflow)
  • SQL Developer
  • Streaming Data Specialist (Flink, Spark)
  • Data Platform Engineer
  • DataOps Engineer
  • Data Lake Architect

Data science & analytics

  • Data Scientist
  • Statistical Modeler
  • Decision Scientist
  • Predictive Analytics Specialist
  • Quantitative Analyst
  • Data Analyst / BI Analyst
  • Experimentation Analyst (A/B testing)

Data architecture & governance

  • Data Architect (Cloud, DW, Big Data)
  • Data Warehouse Architect (Snowflake, Redshift, BigQuery)
  • Data Modeling Specialist
  • Master Data Management Specialist
  • Data Governance Consultant
  • Data Steward
  • Data Privacy & Compliance Analyst

Cloud & DevOps

  • Cloud Engineer (AWS, Azure, GCP)
  • Cloud Solutions Architect
  • DevOps Engineer / SRE
  • Kubernetes Specialist
  • CI/CD Pipeline Engineer
  • Infrastructure as Code Engineer (Terraform, Pulumi)
  • Cloud Security Engineer
  • MLOps Engineer

Software development

  • Full Stack Developer (MERN, MEAN, LAMP)
  • Front-End Developer (React, Angular, Vue)
  • UI/UX Developer
  • Backend Developer (Python, Java, .NET)
  • API Developer / Integration Specialist
  • Microservices Architect

Mobile & emerging tech

  • iOS Developer (Swift)
  • Android Developer (Kotlin)
  • Flutter / React Native Developer
  • Blockchain Developer
  • Web3 Engineer
  • AR/VR Developer
  • IoT Engineer

Agile, QA & product

  • Product Manager (Digital, AI)
  • Technical Program Manager
  • Scrum Master
  • QA Automation Engineer
  • Performance Tester
  • Test Data Management Specialist
  • Agile Coach

Cybersecurity & risk

  • Cybersecurity Engineer
  • Cloud Security Specialist
  • Application Security Engineer
  • Threat Intelligence Analyst
  • Security Operations Centre Analyst
  • IAM Specialist
Why Dhiveda

What you can hold
us to.

Commitments, not adjectives. Each of these is something you can check against during an engagement.

Pre-assessed talent

Evaluated for technical ability and communication — well experienced, not simply well trained and sitting unutilised on a bench.

Agile engagements

Scale the team size up or down as the project requires, without renegotiating from scratch.

Quick turnaround

Talent deployed within one to three weeks of an agreed brief.

Replacement warranty

Performance and continuity assured, with replacement inside one to two weeks at no extra cost.

Transparent governance

Weekly reporting and ongoing monitoring, so you are never guessing at progress.

Global remote capability

Integration with teams across time zones, delivered remotely from India.

Tell us the role.
We'll tell you the timeline.

Send a role description or just a sentence about the gap. We will come back with availability, indicative profiles and a realistic start date.