Coimbatore Deep-Tech Hub • Coralgenz Global Partner

Build Sovereign Deep Tech. Join Our Engineering Force.

We are assembling an elite team of systems architects, AI researchers, and distributed systems engineers in Coimbatore to build production-grade AI mesh, edge vision models, and petabyte data engines for enterprises worldwide. If you obsess over sub-second latency, zero-copy pipelines, and production resilience, you belong at Zevionix.

120+
Modern Tech Stacks in Production
Coralgenz
Global Strategic Alliance
Coimbatore
R&D Headquarters & Innovation Lab
85%+
Fellowship to Full-Time PPO Conversion
Engineering Culture & Ethos

A Letter from our Head of People & Technical Recruiter

Why Coimbatore is our chosen capital for building world-class sovereign AI and distributed systems.

Office of Technical Talent & People Operations
Zevionix Technologies • Coimbatore Engineering Headquarters
Strategic Partner of Coralgenz Global

Dear Engineers, Researchers, and Builders,

When we established Zevionix Technologies in Coimbatore, we did so with an uncompromising conviction: Coimbatore possesses one of the finest, most disciplined technical talent pools in India, yet traditional outsourcing firms have treated regional engineers as ticket-closers for legacy maintenance. At Zevionix, we do the exact opposite.

Our Coimbatore campus is our global R&D powerhouse. In official strategic partnership with Coralgenz Global, our engineering teams build sovereign deep tech: edge vision pipelines processing 120 FPS camera feeds for automated industrial telemetry, petabyte-scale lakehouses streaming over 10M events per second, and the AURA autonomous agent mesh coordinating enterprise workflows.

We deploy across 120+ modern production tech stacks—spanning bare-metal C++/CUDA, Rust, Go, PyTorch, TensorRT, Apache Kafka, Apache Spark, Delta Lake, Kubernetes, and Next.js. We don't believe in bureaucracy, endless middle management, or artificial sprint tickets. Every engineer at Zevionix has direct ownership of production code, direct access to top-spec developer hardware (M3/M4 Max MacBooks and RTX 4090 workstations), and a seat at the architecture decision table.

Whether you are an experienced architect looking to design high-throughput distributed systems without legacy debt, an AI researcher wanting to quantize vision transformers on real hardware, or a fresh engineering graduate hungry for real production commits on Day 1—we have built Zevionix for you.

Head of People & Technical Recruiting
Zevionix Technologies • Coimbatore, Tamil Nadu, India

100% Production Ownership

No layers of disconnected project managers. Engineers architect, code, test, deploy, and observe their own microservices with full telemetry and autonomy.

120+ Modern Tech Stacks

From low-level CUDA and Rust to Go, PyTorch, TensorRT, Spark, and Next.js. We select the best tool for mathematical correctness and raw execution speed.

Global Reach with Coralgenz

Our official alliance with Coralgenz Global connects our Coimbatore labs directly with global enterprise initiatives across North America, Europe, and Asia.

Hardware & Cloud Muscle

Top-spec machines (Apple Silicon Max / RTX 4090 Linux rigs), dual 4K monitors, ergonomic setups, and dedicated NVIDIA cloud GPU instances for research.

arXiv Paper Clubs & R&D

Weekly architectural post-mortems, arXiv deep-dives, internal hackathons, and company-sponsored open source contributions and conference talks.

Coimbatore Quality of Living

Enjoy Coimbatore's pristine climate, proximity to the Western Ghats, rich educational heritage, and peaceful lifestyle with tier-1 Silicon Valley engineering rigor.

Production Tooling

Engineering Across 120+ Production Tech Stacks

At Zevionix, you will master and deploy cutting-edge technologies across the entire compute spectrum.

AI, Computer Vision & Edge Acceleration

Model training, INT8 quantization, and 120 FPS edge telemetry

PyTorch NVIDIA TensorRT YOLOv10 CUDA ONNX Runtime OpenCV Triton Server Vision Transformers (ViT) DeepStream SDK Hugging Face

Distributed Systems & Core Microservices

Zero-copy networking, low-latency gRPC, and concurrent backends

Go (Golang) Rust Python 3.12 gRPC & Protobuf Apache Kafka Apache Flink Redis Cluster ClickHouse WebSockets PostgreSQL

Cloud Native, Kubernetes & FinOps

Multi-region GitOps, eBPF telemetry, and 99.999% SLA resilience

Kubernetes (K8s) ArgoCD Terraform Docker eBPF / Cilium Prometheus & Grafana AWS EKS Google Cloud GKE FinOps / Karpenter Helm

Modern Web, UI Architecture & Full Stack

Sub-second TTFB, edge rendering, and reactive dashboards

Next.js 14 TypeScript React 19 GraphQL Node.js TailwindCSS WebAssembly (WASM) Vite Zustand TanStack Query

Petabyte-Scale Lakehouse & Streaming Analytics

Columnar storage, zero-copy brokers, and real-time aggregation

Apache Spark Delta Lake Apache Iceberg dbt Apache Airflow Snowflake Milvus Vector DB Qdrant Parquet DuckDB
Active Openings

Open Engineering Positions in Coimbatore

Direct engineering roles with transparent criteria, clear impact, and zero bureaucratic screening.

Engineering Division Coimbatore / Hybrid Full-Time

Full Stack Engineer (Distributed Platforms & Web)

Experience: 2 - 5 Years Competitive + Performance Bonus

We are seeking a high-caliber Full Stack Engineer to architect and build sub-second latency enterprise web applications, interactive dashboards, and scalable reactive backends. You will work across Next.js 14 and Go microservices handling real-time telemetry from enterprise edge deployments.

Key Responsibilities:
  • Architect fluid, responsive interfaces using Next.js 14 App Router, TypeScript, and server components.
  • Design high-throughput, low-latency API contracts and concurrent microservices using Go and Node.js.
  • Ensure Core Web Vitals excellence: sub-100ms server response times and sub-second First Contentful Paint.
  • Model high-concurrency database schemas with PostgreSQL, Redis Cluster, and connection pooling.
  • Implement secure real-time streaming interfaces via WebSockets and Server-Sent Events (SSE).
Ideal Qualifications:
  • 2 - 5 years of hands-on experience building production full-stack systems.
  • Proficiency in modern TypeScript, React component lifecycle, and state management.
  • Strong backend fundamentals in Go or Node.js with distributed caching and indexing strategies.
  • Familiarity with containerization (Docker) and basic CI/CD deployment pipelines.
Next.js 14 TypeScript Go (Golang) PostgreSQL Redis GraphQL Docker WebSockets
AURA Perception R&D Coimbatore (On-site / Hybrid) Full-Time

AI / ML Researcher & Computer Vision Specialist

Experience: 2 - 6 Years Competitive + R&D IP Incentives

Join the AURA core perception laboratory in Coimbatore. You will research, train, and accelerate deep learning computer vision models running at 120+ FPS on edge embedded platforms (NVIDIA Jetson) and high-density GPU inference clusters for automated telemetry and spatial tracking.

Key Responsibilities:
  • Train, fine-tune, and evaluate deep convolutional and Vision Transformer (ViT) architectures.
  • Perform INT8/FP16 Post-Training Quantization (PTQ) and pruning using NVIDIA TensorRT and ONNX Runtime.
  • Profile GPU kernel execution pipelines and memory bandwidth bottlenecks with NVIDIA Nsight Systems.
  • Build zero-copy C++/Python inference bindings for real-time camera stream ingestion.
  • Author technical whitepapers and benchmark reports for the Zevionix Engineering Insights blog.
Ideal Qualifications:
  • 2 - 6 years of experience training and deploying deep learning models in PyTorch.
  • Strong mathematical grounding in linear algebra, tensor calculus, and spatial geometry.
  • Demonstrated experience with NVIDIA TensorRT, CUDA programming, and OpenCV pipelines.
  • B.E./B.Tech/M.Tech/Ph.D. in Computer Science, Artificial Intelligence, or related quantitative field.
PyTorch NVIDIA TensorRT YOLOv10 Vision Transformers CUDA ONNX Runtime OpenCV Jetson Orin
Infrastructure & SRE Coimbatore / Hybrid Full-Time

Cloud DevOps & Infrastructure Engineer

Experience: 3 - 6 Years Competitive + Uptime SLA Bonus

Architect, scale, and automate multi-cloud Kubernetes clusters hosting mission-critical AI inference workloads with a strict 99.999% SLA availability. You will drive GitOps continuous delivery, eBPF-based telemetry, and FinOps GPU node bin-packing to keep compute lean and bulletproof.

Key Responsibilities:
  • Provision, secure, and operate multi-tenant Kubernetes clusters across AWS EKS and Google Cloud GKE.
  • Implement declarative GitOps delivery pipelines using ArgoCD, Helm, and automated canary promotions.
  • Write reusable Infrastructure-as-Code modules using Terraform and OpenTofu.
  • Deploy eBPF observability and Cilium mesh networking for ultra-fast, zero-overhead telemetry.
  • Execute FinOps cost optimization, utilizing Spot instance harvesting and Karpenter auto-scaling.
Ideal Qualifications:
  • 3 - 6 years managing production Linux systems and high-traffic cloud infrastructure.
  • Certified Kubernetes Administrator (CKA) or equivalent deep production mastery of K8s internals.
  • Deep understanding of container networking, TLS 1.3 mTLS, IAM policies, and CIS security benchmarks.
  • Experience managing GPU-accelerated node pools (NVIDIA container toolkit) is a huge plus.
Kubernetes Terraform ArgoCD Docker eBPF / Cilium Prometheus AWS / GCP FinOps
Data Platform Division Coimbatore / Hybrid Full-Time

Data Systems Architect & Lakehouse Specialist

Experience: 4 - 8 Years Competitive + Strategic Impact Bonus

Lead the architectural design and scaling of our petabyte-scale lakehouse platforms, high-throughput streaming fabrics (>10M msgs/sec), and real-time columnar analytical query engines powering enterprise telemetry and predictive intelligence across Zevionix and Coralgenz Global client platforms.

Key Responsibilities:
  • Architect petabyte-scale lakehouses unifying batch and streaming ingestion using Delta Lake and Apache Iceberg.
  • Design distributed Kafka topologies and Apache Flink stateful stream processing pipelines.
  • Tune columnar storage engines (ClickHouse, Snowflake) for sub-second analytical aggregations.
  • Establish data governance, schema validation, data lineaging, and automated testing pipelines with dbt.
  • Mentor junior and mid-level data engineers on distributed query optimization and memory management.
Ideal Qualifications:
  • 4 - 8 years designing enterprise-scale data platforms operating at terabyte-to-petabyte scale.
  • Mastery of distributed compute architectures (Apache Spark, Kafka, Flink) and columnar storage formats (Parquet).
  • Deep understanding of query plan optimization, partition pruning, and ACID transaction semantics.
  • Proven track record architecting mission-critical data lakehouses for enterprise clients.
Apache Spark Apache Kafka Apache Flink Delta Lake ClickHouse Python / Scala dbt Airflow
Emerging Talent & Campus Recruitment

Launch Your Deep Tech Career: Engineering Graduate Fellowship

Cohort 2026 – 2027 • 6-Month Intensive Paid Fellowship

Are you a passionate engineering graduate or final-year student in Coimbatore, Tamil Nadu, or across India? Unlike typical corporate internships where you fetch coffee or make slides, the Zevionix Engineering Fellowship pairs you directly with Principal Architects to ship real production code on Day 1.

Production Commits from Week 1

Contribute to real AI vision pipelines, distributed Go microservices, and live enterprise dashboards.

1-on-1 Mentorship by Tech Leads

Bi-weekly 1:1 code architecture reviews, design system guidance, and deep software engineering coaching.

Competitive Paid Monthly Stipend

₹20,000 – ₹35,000 / month based on technical assessment during fellowship duration.

85%+ Pre-Placement Offer (PPO) Conversion

Top-performing fellows receive immediate full-time software/AI engineer offers prior to college graduation.

Track A: Edge AI & Vision

PyTorch, OpenCV, TensorRT, YOLO, and embedded Jetson deployments.

Track B: Distributed Systems

Go (Golang), Docker, Kubernetes, Linux internals, and microservices.

Track C: Modern Web

Next.js 14, TypeScript, React, PostgreSQL, and reactive frontends.

"Joining Zevionix as a graduate intern completely transformed how I think about software. Within my first month, I had quantized a YOLO model with TensorRT and watched it run at 120 FPS in an industrial facility. There is nowhere else in South India doing engineering at this level."

Aditya Ramanathan
Former Fellow → Now Full Stack & Systems Engineer

Who is Eligible?

  • Students graduating in 2025 or 2026 (B.E. / B.Tech / M.Tech / MCA).
  • Specialization in CSE, IT, AI & Data Science, ECE, or passionate self-taught builders.
  • Strong portfolio of personal projects on GitHub or Kaggle rankings.
  • Relocation / availability in Coimbatore for hybrid fellowship sessions.
Perks & Wellness

Life at Zevionix: Built for Engineer Happiness

We treat engineers like the top-tier technical athletes they are.

Premier Hardware

M3/M4 Max Apple MacBook Pros or custom Linux workstations equipped with RTX 4090 GPUs and dual 4K monitors.

Competitive Compensation

Tier-1 base salary benchmarks, bi-annual performance merit reviews, and performance-driven annual bonuses.

Full Health Coverage

Comprehensive health and accidental insurance covering you and your immediate family, plus wellness days.

Continuous Learning Budget

₹1,00,000 annual budget per engineer for cloud certifications (AWS, CKA, NVIDIA), technical books, and conferences.

Flexible Hybrid Culture

Work from our ergonomic Coimbatore tech lab or enjoy flexible hybrid days with core collaboration hours.

Global Collaboration

Direct exposure to Coralgenz Global client programs across North America, Europe, and Asia with travel perks.

Direct Engineering Portal

Join Our Engineering Team in Coimbatore

Skip recruiter black holes. Your application is reviewed directly by our Technical Leads and Head of People within 48 hours.

Click to browse or drag and drop your resume file here
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Direct Recruiter Support

Have an inquiry before applying or looking for an executive leadership role?

Recruitment Email
careers@zevionix.com
General Contact
contact@zevionix.com
Engineering Campus
Coimbatore, Tamil Nadu, India
Global Partner
Coralgenz Global Alliance

Our 3-Step Fast Hiring Process

1
Direct Profile & GitHub Review

Within 48 hours, an engineering lead reviews your repositories and problem-solving history.

2
Practical Architecture Deep Dive

A 60-minute technical session discussing real systems and engineering choices—no LeetCode gimmicks.

3
Founder & Offer Conversation

Cultural alignment, compensation discussion, and formal offer extended within 5 business days.

Ready to build high-performance deep tech in Coimbatore?

Explore our engineering culture or send your profile directly to our talent team.

Apply Now Learn About Zevionix