Retail & E-commerce IT Hiring - JobQlick
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Retail & E-commerce IT Hiring

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 Plan

Why Clients Choose Us — Our Commitment & Differentiators

We bring specialized expertise and proven frameworks to retail and e-commerce technology hiring.

Domain Expertise

We combine recruitment best practices with deep understanding of retail & e-commerce tech patterns — search relevancy, checkout flows, catalogue ops, logistics pipelines, and analytics.

Data-Driven Hiring

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.

Quality Assurance

Technical validation, code review tasks and scenario-based interviews reduce hiring risk and ensure candidates match your technical standards.

Speed & Scale

Our screened talent pool plus active sourcing networks let us respond to hiring surges without sacrificing quality or technical rigor.

Partnership Approach

We operate as an extension of your talent function — advising on employer branding, interview loops, and retention tactics for long-term success.

Continuous Market Insights

We provide up-to-date market intelligence to help you stay competitive and attract top IT talent efficiently across all technology roles.

Technology Stacks & Specialisms We Recruit

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.

How We Hire — Standards, Frameworks, and Repeatable Quality

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.

Practical Hiring Advice for Retail & E-commerce Leaders

Strategic advice informed by deep e-commerce experience across successful placements.

1

Prioritize Product Hires

When starting new customer-facing features — product managers and UX designers maximize impact and ensure user-centered development from day one.

2

Invest in Cloud & SRE Early

Reliability directly affects conversion and retention. Strong cloud infrastructure and SRE practices prevent costly downtime during peak shopping periods.

3

Hire Data Engineers First

Reliable pipelines and clean data are prerequisites for effective personalization before advancing to complex ML models and recommendation systems.

4

Offer Clear Career Paths

Specialized roles with technical depth and leadership ladders improve retention in search, recommendation, and payments — critical areas for e-commerce success.

A Trusted Partner to Mid and Large-Size Organizations

Client Success Stories

"We partnered with JobQlick to scale our payments and checkout team — they delivered senior backend engineers and an SRE in under six weeks. The candidates were interview-ready and the onboarding support was excellent."
— Head of Engineering, Large D2C Retailer
"Their team understood our tech stack immediately and provided strong product managers for our marketplace. They helped us reduce offer declines by sharing market-level salary insight."
— VP Product, Omnichannel Retailer
"We were impressed by the thorough reference checks and the quality of the shortlists — helped us hire 8 engineers across data and backend in a single quarter."
— CTO, Mid-sized Marketplace

Flexible Engagement Models

  • Discovery call: We map role priorities, success metrics and timelines.
  • Search plan & market brief: We present a hiring blueprint and salary benchmarking.
  • Active search & shortlisting: We deliver pre-screened shortlists to your hiring panel.
  • Interview support & feedback loop: We coordinate interviews and iterate on shortlist criteria.
  • Offer & onboarding assistance: We help with offer design, counter-offers and 90-day check-ins.
Engagement Models

We adapt to your procurement and vendor policies — NDAs, SLAs, background check standards — and integrate into your ATS or hiring workflow.

Market Context & Numbers You Can Rely On

To help you budget and plan, here are market signals and salary ranges typical for tech roles in Indian retail & e-commerce.

Representative Salary Ranges (India)

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.

Practical Next Steps — How to Get Started

1

Share your role brief and hiring timeline.

2

We'll deliver a market snapshot and proposed compensation band (no charge).

3

Agree on service model (retained/contingency/RPO).

4

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.

Passionate About Tech Recruitment

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.

Get in Touch

Ready to build your next world-class team? Share your role brief and hiring timeline.

*We'll send a customized hiring plan within 48 hours.*