C2H- 200+ Openings: Building the Modern Engineering Frontier (Agentic AI, Platform Ops, & Data Mesh)
- India
Full Job Description
The “AI Hype” is over. The “Engineering Reality” is here.
Our clients-ranging from high-growth scale-ups to enterprise powerhouses-are moving beyond simple LLM wrappers. They are building Composite AI systems, Agentic workflows, and Internal Developer Platforms (IDP) that redefine how software is delivered.
We are looking for 200+ Senior Engineers, Architects, and Leads who thrive at the intersection of pragmatic AI and cloud-native stability.
The Technical Landscape
Our clients don’t do dogmatic tech; they do contextual excellence. You’ll be working within ecosystems defined by:
- AI-Infused Delivery: Moving past code completion into Agentic AI and MLOps to accelerate the entire SDLC.
- Platform Engineering: Building “Paved Roads” and IDPs that treat Developer Experience (DevEx) as a first-class citizen.
- Data as a Product: Shifting from monolithic lakes to Data Mesh architectures and distributed data products.
- Modernization at Scale: Leading the charge on legacy-to-cloud-native migrations across AWS (Advanced Tier), Azure, and GCP.
The Culture: “You Build It, You Run It”
We are looking for engineers who value the full lifecycle. If you believe that a microservice is only as good as its observability stack, you’re in the right place. Expect environments that prioritize:
- Engineering Rigor: XP practices, TDD, Pair Programming, and DORA metrics optimization.
- Resilience: Zero-downtime deployments, vulnerability scanning, and robust CI/CD.
- Observability: Deep-stack visibility using SLOs, Victoria Metrics, and EFK logging.
Priority Hiring: Backend & Infrastructure
We are seeking practitioners with deep expertise in:
- Backend Engineering (Java / Golang / Python): Building high-throughput microservices, event-driven architectures, and API platforms that serve as the backbone for AI integration.
- Platform & DevOps: Infrastructure as Code (IaC), IDP, and Telemetry toolchains.
- Data & AI Ops: Vector DBs, LLM orchestration, and MLOps pipelines.
- Site Reliability: Incident response, SLO/SLI definition, and heavy automation.
Get Connected
These are not just “jobs”-they are opportunities to own the tech stack and drive sustainable, AI-accelerated transformation.
Ready to bypass the generic portals and speak with engineering-focused talent partners?
Email your CV/Profile to: C2H@Careerxperts.com
Let’s build the next generation of software, pragmatically.