Access battle-tested Big Data, Cloud, and DevOps engineers on-demand — embedded in your team, working your hours, aligned with your goals.
Finding and hiring senior Big Data, Cloud, and DevOps engineers is hard. Building these capabilities internally takes time your business doesn't have. RadiCorp's Resource Augmentation model gives you immediate access to experienced practitioners — without the overhead of permanent hiring.
Our engineers don't just fill seats — they bring deep domain expertise, production experience, and a practitioner mindset. They embed within your existing team, follow your processes, and deliver real impact from day one.
Whether you need an engineer for a two-month sprint or a long-term team member for a multi-year programme, we have a model that fits.
Designed for specific project sprints, go-live support, or skill gap coverage when you need to move fast. Our engineers hit the ground running with minimal ramp-up time.
For ongoing programs that need sustained engineering expertise. Engineers become an integral part of your team over time, developing deep institutional knowledge.
Deliver against defined scope and milestones. Fixed outcomes, transparent progress tracking, and accountable delivery — ideal when you know exactly what you need built.
Our talent pool covers the full enterprise data and cloud stack — from legacy Hadoop environments to modern cloud-native and GenAI platforms.
We don't place CVs and hope for the best. Every engineer we deploy has been vetted on real enterprise systems, assessed on your specific technology stack, and selected to deliver impact — not just attendance.
A streamlined process that gets the right engineer into your team quickly, with full alignment on goals and working style from day one.
We start with a detailed conversation about the role — technology stack, seniority level, engagement duration, team culture, and specific project context. No generic job-spec forms.
Our talent team matches the brief against our vetted network of practitioners. We shortlist 2–3 profiles within 48–72 hours — you interview and choose who fits your team best.
Before the engineer's first day, we brief them on your systems, tools, team norms, and initial objectives. They arrive ready to contribute — not asking basic setup questions on day one.
The engineer works within your team — your standups, your Jira, your Slack, your code reviews. We stay in the background with weekly check-ins to ensure quality and alignment.
At engagement end, we run a structured handover including documentation, knowledge transfer sessions, and optional mentoring of your permanent engineers. Or we scale the team up for the next phase.
Resource augmentation works best when combined with upskilling your permanent team and keeping augmented systems running reliably after the engagement ends.
Upskill your permanent team while our engineers work alongside them. Structured training on Big Data, Cloud, and DevOps ensures your team retains capability after the engagement.
Learn MoreOnce your augmented team completes a build, our managed support service takes over operations — providing 24x7 monitoring, optimization, and SLA-backed reliability without engineering burden.
Learn MoreIf you need a dedicated project outcome rather than embedded engineers, our Big Data engineering practice delivers end-to-end data platform builds under a managed delivery model.
Learn MoreTell us what you need and we'll have matched engineer profiles in your inbox within 48 hours — no lengthy procurement, no bench risk.