Global IT Hiring & Outsourcing

Our Employer of Record service allows you to hire full-time employees in India without establishing a legal entity, eliminating months of incorporation paperwork and ongoing compliance overhead. Chandigarh.IT acts as the legal employer, handling payroll processing, statutory benefits (PF, ESI, gratuity), tax withholding and filing, employment contracts compliant with Indian labor law, and employee insurance. You retain full operational control over your team members including task assignment, performance management, and day-to-day direction. EOR is the ideal starting point for companies testing the India market before committing to a full GCC setup. Many of our clients begin with 2 to 5 engineers on EOR and scale to a dedicated GCC within 12 to 18 months as they validate the model and grow their team.

For organizations ready to establish a permanent engineering presence in India, we provide end-to-end GCC setup and management services. The GCC model gives you full ownership and control of your India team while Chandigarh.IT handles the heavy lifting of establishment. Our GCC services cover entity incorporation and regulatory compliance, office space procurement and build-out in Chandigarh's IT parks, talent acquisition including technical screening and cultural fit assessment, HR operations and payroll administration, IT infrastructure setup, and ongoing operational management. The GCC market in India is projected to reach $110 billion by 2030, with mid-market companies now entering the space alongside traditional Fortune 500 adopters. We recommend an EOR-first roadmap: start with 3 to 10 employees on our EOR platform, validate team performance and cultural fit over 6 to 12 months, and then transition to a fully owned GCC entity when the business case is proven.

We assemble and manage dedicated product development teams that function as a seamless extension of your organization. Unlike traditional outsourcing where you hand off requirements and receive deliverables, our product teams are embedded in your product development process with shared tools, sprint ceremonies, and communication channels. Teams typically include product managers, UX designers, frontend and backend engineers, QA engineers, and DevOps specialists. We handle talent sourcing, onboarding, workspace, equipment, and HR administration while you retain product direction and technical decision-making authority. This model is ideal for startups building their v1 product, growth-stage companies scaling engineering capacity, and enterprises launching new product lines without expanding domestic headcount.

Our dedicated team model provides you with full-time engineers who work exclusively on your projects under your direct management. Unlike staff augmentation where individuals supplement existing teams, dedicated teams operate as cohesive units with shared context, established processes, and team-level accountability. We source, screen, and onboard engineers matched to your technology stack and domain expertise requirements. Team sizes range from 3-person squads for focused workstreams to 20+ person engineering groups for large-scale product development. All team members work from our managed workspace facilities in Chandigarh, with enterprise-grade connectivity, physical security, and IT infrastructure. You get the stability and cultural alignment of a captive team with the operational flexibility and speed of an outsourcing partner.

Not every company needs a full-time CTO, but every technology-driven business needs strategic technical leadership. Our Fractional CTO service provides experienced technology executives who work with your leadership team on a part-time basis, typically 10 to 20 hours per week, at a fraction of the cost of a full-time hire. Engagement pricing ranges from $5,000 to $20,000 per month depending on seniority level and time commitment. Our Fractional CTOs bring 15+ years of hands-on engineering and leadership experience across diverse technology stacks and industries. Services include technology strategy and roadmap development, architecture review and technical debt assessment, engineering team structure and hiring strategy, vendor evaluation and build-vs-buy decisions, due diligence support for fundraising or M&A, and board-level technology reporting. This service is particularly valuable for seed to Series B startups that need executive-level technology guidance but cannot justify a $250K to $400K annual CTO salary.

Through our consortium partner Linkage IT, we provide rapid staff augmentation services that place pre-vetted engineers into your existing teams within 1 to 2 weeks. Our talent pool spans all major technology stacks including frontend (React, Angular, Vue.js), backend (Node.js, Python, Java, .NET), mobile (Flutter, React Native, iOS, Android), data engineering, DevOps, QA, and emerging technologies (AI/ML, blockchain). Every candidate undergoes a multi-stage vetting process covering technical assessment, communication evaluation, and reference verification. Staff augmentation is ideal for companies that need to quickly ramp capacity for specific projects, fill skill gaps in existing teams, or scale engineering resources during peak demand periods without long-term hiring commitments.

We provide round-the-clock technical support teams for SaaS companies, managed service providers, and enterprises that need continuous coverage across global time zones. Our support services span Level 1 (front-line triage and known issue resolution), Level 2 (technical investigation and troubleshooting), and Level 3 (engineering-level root cause analysis and code fixes). We staff dedicated help desk teams, network operations center (NOC) operators, and application support engineers who are trained on your products, processes, and escalation procedures. Support teams operate from managed facilities with redundant connectivity, and all interactions are tracked through your existing ticketing systems (Zendesk, Freshdesk, ServiceNow, Jira Service Management). SLA-backed response and resolution times are defined for each severity level.