India's retail and e-commerce sector is growing fast — and technology teams power catalogue management, payments, personalization, logistics and last-mile delivery. At JobQlick, we specialize in IT hiring for retail and e-commerce: building engineering teams, data science groups, platform squads, product practices, and quality functions for mid-to-large retailers and marketplaces across India.
Request Your Retail IT Hiring PlanWe bring specialized expertise and proven frameworks to retail and e-commerce technology hiring.
We combine recruitment best practices with deep understanding of retail & e-commerce tech patterns — search relevancy, checkout flows, catalogue ops, logistics pipelines, and analytics.
We benchmark salaries, time-to-hire, and acceptance rates for your role and region so your offers are competitive and based on current market intelligence.
Technical validation, code review tasks and scenario-based interviews reduce hiring risk and ensure candidates match your technical standards.
Our screened talent pool plus active sourcing networks let us respond to hiring surges without sacrificing quality or technical rigor.
We operate as an extension of your talent function — advising on employer branding, interview loops, and retention tactics for long-term success.
We provide up-to-date market intelligence to help you stay competitive and attract top IT talent efficiently across all technology roles.
We recruit for the full range of technology roles retail and e-commerce teams need.
| Category | Key Skillsets & Domain Focus |
|---|---|
| Engineering | Frontend (React, Angular, Vue), Backend (Node.js, Java, .NET, Python, Go) Full-stack engineers, Mobile development (Kotlin/Java, Swift) React Native, Flutter for cross-platform applications |
| Platform & Cloud | Cloud engineers (AWS/GCP/Azure), SRE specialists, Cloud Architects Kubernetes orchestration, Terraform infrastructure as code CI/CD engineers, DevOps practices for e-commerce scale |
| Data & AI | Data engineers, Data scientists, ML engineers, Analytics engineers BI developers (Spark, BigQuery, Redshift, Snowflake, Airflow) Recommendation systems, personalization engines |
| Product & Design | Product managers (e-commerce, product search, checkout, dashboards) UX/UI designers, Product analysts, User researchers A/B testing specialists, conversion optimization experts |
| Quality & Security | QA automation engineers, Performance testing specialists Security engineers, Penetration testers Compliance and audit specialists for retail systems |
| Specialised E-commerce Tech | Search & recommendations (Elasticsearch, Solr, recommendation engines) Payment gateway integration, Headless commerce architects PIM/OMS expertise, Magento/Shopify/WooCommerce developers |
We have placed specialists across these domains in startups, fast-scaling marketplaces and established retail chains.
Our process is designed for reliability and speed, built from best practices and continuous improvement.
This framework preserves quality while allowing us to move quickly in a competitive market.
Strategic advice informed by deep e-commerce experience across successful placements.
When starting new customer-facing features — product managers and UX designers maximize impact and ensure user-centered development from day one.
Reliability directly affects conversion and retention. Strong cloud infrastructure and SRE practices prevent costly downtime during peak shopping periods.
Reliable pipelines and clean data are prerequisites for effective personalization before advancing to complex ML models and recommendation systems.
Specialized roles with technical depth and leadership ladders improve retention in search, recommendation, and payments — critical areas for e-commerce success.
We adapt to your procurement and vendor policies — NDAs, SLAs, background check standards — and integrate into your ATS or hiring workflow.
To help you budget and plan, here are market signals and salary ranges typical for tech roles in Indian retail & e-commerce.
We track real-time market data across retail IT, D2C, and marketplace tech to ensure your offers are competitive.
| Role Category | Typical Range (₹ LPA) | E-commerce Driver |
|---|---|---|
| Software Engineers / Full-Stack Developers | ₹6–25 LPA (Mid-level) | Median total compensation for mid-level engineers varies by city and company. Senior/lead levels in large product companies can exceed ₹30–75 LPA total comp. |
| Data Scientists / ML Engineers | ₹4–20 LPA (Entry/Mid) / ₹20–50+ LPA (Senior) | Upskilled specialists in personalization, recommendation systems and search pipelines are highly sought after in e-commerce. |
| DevOps / SRE / Cloud Engineers | ₹6–20 LPA (Mid) / ₹20–40+ LPA (Senior) | Senior platform leads and cloud architects reach ₹20–40+ LPA. Containerization, Kubernetes, and infra as code skills command premium pay. |
Note: Salaries vary by city, company funding stage, remote vs on-site, and candidate specialization. We always benchmark against the latest market data.
Share your role brief and hiring timeline.
We'll deliver a market snapshot and proposed compensation band (no charge).
Agree on service model (retained/contingency/RPO).
We initiate sourcing and deliver the first curated shortlist within agreed SLAs.
We aim to be nimble but meticulous — ensuring the talent we source drives profit and reliability.
We love technology and the teams who build it. Recruiting for retail and e-commerce isn't just filling seats; it's about matching mission, craft and culture so that engineers, data scientists and product people can build great customer experiences — faster, safer and with measurable outcomes. If you want recruitment that understands the realities of modern retail tech, we're ready to partner.
Ready to build your next world-class team? Share your role brief and hiring timeline.