Experts You Can Trust for Industrial Automation, IIoT, and Digital Transformation
Manufacturing and engineering are transforming through factory automation, IIoT, cloud-native MES, and AI-powered predictive maintenance. At JobQlick, we specialize in IT hiring for industrial sectors — connecting embedded engineers, automation experts, and platform architects with mid-size and large enterprises. We match the right technology talent who understand both code and the shop floor to build tomorrow's industrial capabilities.
Request Your Industrial IT Hiring PlanWe bring domain expertise, speed, and quality to industrial IT recruitment.
Our recruiters have technical backgrounds or are trained with domain SMEs so candidate assessments test real shop-floor and systems thinking.
Proprietary sourcing techniques plus an active candidate database give us the edge on urgent hires without compromising fit.
We prioritize OT safety, NDAs, IP awareness and background verifications tailored for manufacturing contexts.
Retained search, RPO (recruitment process outsourcing), volume hiring and contract staffing for pilot projects or set-up phases.
We help structure role design, compensation benchmarking and joining incentives that reduce offer declines and early attrition.
We provide transparent reporting on KPIs like source quality and time-to-hire, managing our process with manufacturing-level rigor.
We recruit for platform, edge, cloud, data and OT stacks used in modern manufacturing.
| Category | Key Skillsets & Domain Focus |
|---|---|
| Embedded & Edge | C/C++, Embedded C, Rust, RTOS (FreeRTOS, VxWorks), Bare-metal firmware Microcontrollers and SoCs (ARM Cortex, STM32, TI, NXP, ESP32) Tools: JTAG, oscilloscopes, Yocto, Kernel drivers, BSP, Device drivers |
| Industrial Automation & OT | PLC programming (Siemens Step7, TIA Portal, Rockwell/RSLogix) SCADA, DCS, HMI design, OPC UA, Modbus, Profibus protocols Control system design, ladder logic, function block programming |
| Cloud, DevOps & Infrastructure | AWS / Azure / Google Cloud for manufacturing solutions Docker, Kubernetes, Terraform, Jenkins, CI/CD pipelines, SRE practices Industrial edge orchestration, hybrid cloud architectures |
| Data, AI & Analytics | Data engineering: Spark, Kafka, Airflow, time series databases ML/AI: PyTorch, TensorFlow for predictive maintenance, anomaly detection Computer vision for quality inspection, data lakes for sensor telemetry |
| Full-Stack & Integration | Node.js, Java, Spring Boot, .NET, Python backends React/Angular frontend, REST/gRPC APIs MES/ERP integration, middleware, ESBs for industrial systems |
| Cybersecurity & Compliance | OT/IT cybersecurity, IEC 62443/ISA-99 understanding Penetration testing, secure firmware, identity and access management Device security, industrial network protection protocols |
Our recruitment framework overlays best-practice hiring standards with domain nuance.
This standardized but flexible approach reduces hiring cycles, improves quality of hire, and lowers attrition risk for technically demanding roles.
Representative timeframes from search initiation to offer acceptance for common industrial roles.
4–8 weeks (depending on niche skillset)
3–7 weeks (often dependent on regional OT expertise)
3–6 weeks for industrial edge and hybrid cloud roles
4–10 weeks (advanced data/AI roles typically need deeper search)
6–10 weeks (retained search recommended)
3–7 weeks (enterprise application and MES/ERP integration roles)
Timeframes are estimates: we tailor SLAs per role priority and urgency.
We are proud to work with several mid-size and large manufacturing organizations and engineering firms, including automotive suppliers, electronics manufacturers, OEMs and industrial automation companies.
Our engagement models range from retained executive search for senior engineering leads to contingent recruitment for volume hiring and contract staffing for pilot projects.
Digital transformation momentum has accelerated investments in Industry 4.0 and enterprise cloud initiatives.
Representative salary benchmarks for tech roles commonly hired by manufacturing and engineering organizations.
| Role Category | Representative Median Range (Annual CTC) | Market Context |
|---|---|---|
| Software Engineer / Full-Stack Developer | ~₹6–12 LPA (median ~₹11 LPA nationally) | Higher ranges in tech hubs like Bengaluru. Standard enterprise application developers and MES/ERP integration specialists. |
| DevOps / Cloud Engineer | ~₹6–19 LPA (average ~₹8.7–8.9 LPA nationally) | Senior/lead roles, especially those focused on Industrial Edge/Hybrid cloud architectures, command premium compensation. |
| Embedded Systems Engineer / Firmware | ~₹3.5–13 LPA (wide spread) | Varies significantly from entry-level to senior niche embedded roles (RTOS, kernel drivers, board bring-up). |
| Data Engineer / ML Engineer / Data Scientist | ~₹8–30+ LPA | Depending on AI specialisation and experience (AI talent for predictive maintenance/computer vision commands premium). |
| Industrial Automation / PLC / SCADA Engineer | ~₹4–18 LPA | Varies with hands-on OT certification and enterprise product exposure (e.g., specific vendor certifications). |
Note: Representative median ranges compiled from market salary databases and job market reporting. We provide real-time, city-specific benchmarking during our engagement.
If you're evaluating partners for IT hiring in manufacturing & engineering, we'll prepare a no-obligation recruitment plan.
A customised role brief and hiring timeline
A compensation benchmarking pack for your city & role (with live market data)
A sample shortlist (3–5 fully screened candidates) for one pilot role — so you can assess our fit
We're passionate about tech recruitment because we believe great industrial transformation is human: it's engineers and technologists who turn digital roadmaps into reliable production outcomes. That's why we invest time in technical training for our team, maintain active relationships with OT/IT communities, and continuously refresh our screening tools to reflect the latest manufacturing tech stack.
Ready to build your next world-class team? Share your role brief and hiring timeline.