
Senior Software Engineer – Retail Platforms (GCP | Java/Kotlin | MongoDB)
Location
Kochi or Chennai or Bangalore ,willing to work on Bangalore
Role Overview
We are looking for a Senior Software Engineer to build and scale next-generation
retail and eCommerce platforms. The role focuses on developing cloud-native, high-
performance backend systems that power customer journeys, order management,
product catalogue, and real-time retail operations.
The ideal candidate will have strong expertise in Java/Kotlin, and MongoDB, along
with experience in GCP, React JS and high-scale, customer-facing applications.
Key Responsibilities
Design and develop scalable backend systems for eCommerce platforms
Ensure high availability and low latency for retail workloads
Enable auto-scaling and high-availability architectures for peak retail
traffic
Develop and manage microservices architecture for modular retail systems
Required Skills & Qualifications
4–8 years of experience in backend development
Strong proficiency in Java and Kotlin.
Knowledge in Google Cloud Platform (GCP) , React JS and MongoDB /
NoSQL databases (Preferred).
Experience in eCommerce or retail platforms .
Strong understanding of microservices and event-driven architecture.
Experience with REST APIs and distributed systems.
Familiarity with Docker, Kubernetes, and CI/CD pipelines .
Understanding of retail analytics and customer behaviour .
Write clean, maintainable, and testable code
Ensure adherence to security and data protection standards
DevOps & Release Engineering
Implement CI/CD pipelines for faster releases
Use Docker and Kubernetes for containerized deployments
Soft Skills
Strong collaboration and communication skills
Strong problem-solving and analytical mindset
Ability to work in fast-paced, high-scale environments
Customer-first thinking
What We Offer
Opportunity to work on large-scale retail and eCommerce platforms
Exposure to high-traffic, real-time systems
Collaborative and innovation-driven environment
Career growth in cloud-native and retail technologies

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Location: Mumbai, Maharashtra, India
Sector: Technology, Information & Media
Company Size: 500 - 1,000 Employees
Employment: Full-Time, Permanent
Experience: 10 - 14 Years (Engineering Leadership)
Level: Engineering Manager / Group EM
ABOUT THIS MANDATE :
Recruiting Bond has been exclusively retained by one of India's most prominent and well-established digital platform organisations operating at the intersection of Technology, Information, and Media to identify and place an exceptional Engineering Manager who can lead engineering teams through an enterprise-wide AI adoption and digital transformation agenda.
This is a high-impact, hands-on leadership role at the nexus of people, product, and technology. The organisation is executing one of the most ambitious AI transformation programmes in its sector and this Engineering Manager will be a core driver of that change. You will lead multiple squads, own engineering delivery end-to-end, embed AI tooling and practices into the team's DNA, and shape the engineering culture of tomorrow.
We are seeking leaders who code when it matters, who build systems and teams with equal conviction, and who view AI not as a trend but as a fundamental shift in how great software is built.
THE OPPORTUNITY AT A GLANCE :
AI-First Engineering Culture :
- Own AI adoption across your squads - from LLM tooling integration to automation-first delivery workflows. Make AI a default, not an afterthought.
Hands-On Engineering Leadership :
- Stay close to the code. Lead architecture reviews, unblock engineers, and set the technical bar - not just the management agenda.
People & Org Builder :
- Grow engineers into leaders. Build squads of 615 across functions. Drive hiring, career frameworks, and a culture of psychological safety.
KEY RESPONSIBILITIES :
1. Hands-On Technical Engagement :
- Remain deeply embedded in the technical work participate in design reviews, architecture decisions, and critical code reviews
- Set and uphold the engineering quality bar : performance benchmarks, security standards, test coverage, and release quality
- Provide technical direction on backend platform strategy, API design, service decomposition, and data architecture
- Identify and resolve systemic technical debt and architectural risks across team-owned services
- Unblock engineers by diving into complex problems debugging, pair programming, and system analysis when it matters
- Own key technical decisions in collaboration with Tech Leads and Principal Engineers; balance pragmatism with long-term sustainability
2. AI Adoption, Integration & Transformation (2026 Mandate) :
- Define and execute the team's AI adoption roadmap - from developer tooling to product-facing AI features
- Champion the integration of GenAI tools (GitHub Copilot, Cursor, Claude, ChatGPT) across the full engineering workflow coding, testing, documentation, incident response
- Embed LLM-powered capabilities into the product : recommendation engines, intelligent search, conversational interfaces, content generation, and predictive systems
- Lead evaluation and adoption of AI-assisted SDLC practices : automated code review, AI-generated test suites, intelligent observability, and anomaly detection
- Partner with Data Science and ML Platform teams to productionise ML models with robust MLOps pipelines
- Build team literacy in prompt engineering, RAG (Retrieval-Augmented Generation), and AI agent frameworks
- Create an experimentation culture : run structured AI pilots, measure productivity impact, and scale what works
- Stay ahead of the AI tooling landscape and advise senior leadership on strategic AI investments and engineering implications
3. People Leadership & Team Development :
- Lead, manage, and grow squads of 6 - 15 engineers across seniority levels (L2 through L6 / Junior through Staff)
- Conduct structured 1 : 1s, career growth conversations, and development planning with every direct report
- Design and execute personalised AI upskilling programmes ensure every engineer develops practical AI fluency by end of 2026
- Build and maintain a high-performance team culture : clarity of ownership, accountability, fast feedback loops, and psychological safety
- Drive performance management fairly and rigorously recognise top performers, manage underperformance constructively
- Lead technical hiring end-to-end : define job requirements, conduct bar-raising interviews, and make data-driven hire decisions
- Contribute to engineering career frameworks and level definitions in partnership with the VP / Director of Engineering
4. Engineering Delivery & Execution Excellence :
- Own end-to-end delivery for multiple product squads from planning and scoping through production release and post-launch stability
- Implement and refine agile delivery frameworks (Scrum, Kanban, Shape Up) calibrated to squad needs and product cadence
- Drive predictable delivery : maintain healthy sprint velocity, manage WIP limits, and ensure dependency resolution across teams.
- Establish and own engineering KPIs : DORA metrics (deployment frequency, lead time, MTTR, change failure rate), uptime SLOs, and velocity trends
- Lead incident management : build blameless post-mortem culture, own RCA processes, and drive systemic reliability improvements
- Balance technical debt repayment with feature velocity negotiate prioritisation transparently with Product leadership
5. Strategic Leadership & Cross-Functional Influence :
- Serve as the primary engineering partner for Product, Design, Data, and Business stakeholders translate ambiguity into executable engineering plans
- Participate in quarterly roadmap planning, capacity forecasting, and OKR definition for engineering teams
- Represent engineering in leadership forums articulate technical constraints, risks, and opportunities in business terms
- Contribute to org-wide engineering strategy : platform investments, build-vs-buy decisions, and shared infrastructure priorities
- Build relationships across geographies (Mumbai HQ + distributed teams) to maintain alignment and delivery cohesion
- Act as a culture carrier and ambassador for engineering excellence, innovation, and responsible AI use
AI TRANSFORMATION LEADERSHIP 2026 EXPECTATIONS :
In 2026, Engineering Managers at this organisation are expected to be active architects of AI transformation not passive observers. The following outlines the specific AI leadership expectations for this role :
AI Developer Productivity
- Drive measurable uplift in developer velocity through AI tooling adoption. Target : 30%+ reduction in code review cycle time and 40%+ increase in test coverage automation by Q3 2026.
LLM & GenAI Product Features
- Own delivery of GenAI-powered product capabilities : intelligent content, semantic search, personalisation, and conversational UX in production, at scale.
AI-Augmented Observability
- Implement AI-driven monitoring and anomaly detection pipelines. Reduce MTTR by leveraging predictive alerting, intelligent runbooks, and auto-remediation scripts.
Team AI Fluency :
- Build mandatory AI literacy across all engineering levels.
- Every engineer understands prompt engineering basics, AI ethics guardrails, and responsible AI deployment practices.
Responsible AI Governance :
- Partner with Security, Legal, and Data Privacy to ensure all AI deployments meet compliance standards, bias mitigation requirements, and explainability benchmarks.
TECHNOLOGY STACK & DOMAIN FAMILIARITY REQUIRED :
- Languages: Java/ Go/ Python/ Node.js /PHP /Rust (must be hands-on in at least 2)
- Cloud: AWS / GCP / Azure (multi-cloud exposure strongly preferred)
- AI & GenAI: OpenAI / Anthropic / Gemini APIs /LangChain /LlamaIndex / RAG / Vector DBs / GitHub
- Copilot: Cursor /Hugging Face
- Containers: Docker /Kubernetes /Helm /Service Mesh (Istio / Linkerd)
- Databases: PostgreSQL /MongoDB / Redis / Cassandra / Elasticsearch / Pinecone (Vector DB)
- Messaging: Apache Kafka /RabbitMQ /AWS SQS/SNS /Google Pub/Sub
- MLOps & DataOps: MLflow /Kubeflow / SageMaker / Vertex AI /Airflow /dbt
- Observability: Datadog /Prometheus /Grafana /OpenTelemetry / Jaeger /ELK Stack
- CI/CD & IaC: GitHub Actions ArgoCD / Jenkins / Terraform /Ansible /Backstage (IDP)
QUALIFICATIONS & CANDIDATE PROFILE :
Education :
- B.E. / B.Tech or M.E. / M.Tech from a Tier-I or Tier-II Institution - CS, IS, ECE, AI/ML streams strongly preferred
- Demonstrated engineering depth and leadership impact may complement institution pedigree
Experience :
- 10 to 14 years of progressive engineering experience, with at least 3 years in a formal Engineering Manager or equivalent people-leadership role
- Proven track record of managing and scaling engineering teams (615+ engineers) in a fast-growing SaaS or digital product environment
- Hands-on backend engineering background must be able to read, write, and critique production code
- Direct experience driving AI/ML feature delivery or AI tooling adoption within engineering organisations
- Exposure across start-up, mid-size, and large-scale product organisations, preferred adaptability is a core requirement
- Strong CS fundamentals: distributed systems, algorithms, system design, and software architecture
- Demonstrated career stability minimum of 2 years of average tenure per organisation.
The Ideal Engineering Manager in 2026 :
- Leads with context, not control, empowers engineers while maintaining accountability and quality
- Is fluent in both people language and technical language, switches registers naturally with engineers and executives alike
- Sees AI as a force multiplier for the team, not a threat. Actively experiments with and advocates for AI tooling
- Measures success by team outcomes, not personal output. Takes pride in what the team ships, not what they build alone
- Creates feedback loops obsessively between product and engineering, between seniors and juniors, between metrics and decisions
- Has strong opinions, loosely held, brings conviction to discussions but updates on evidence
- Invests in engineering excellence as seriously as delivery velocity knows that quality and speed are not opposites
WHY THIS ROLE STANDS APART :
AI Transformation at Scale :
- Lead one of the most significant AI adoption programmes in India's digital media sector.
- Our decisions will shape how hundreds of engineers work in 2026 and beyond.
Hands-On & Strategic Balance :
- A rare EM role that actively encourages technical depth.
- Stay close to the code while owning the people agenda - the best of both worlds.
Established Platform, Real Scale :
- 5001,000 engineers, proven product-market fit, and the org maturity to execute.
- This is not a greenfield startup gamble it is a serious company with serious ambition.
Clear Leadership Growth Path :
- A visible, direct path toward Director / VP of Engineering.
- Senior leadership is invested in growing its next generation of technology executives.
Are you a fun loving and passionate to be a part of Global Innovator team? Are you planning to grow your career, which enhance your skills in technology? A career at SmartDocs can open many doors for you in the world of technology. If you are looking for a company that is dedicated to your ideas, recognizes you for your unique competency & contributions and provides a fun, flexible and delightful work atmosphere.
Then, we are the right place to ignite your passion. We are totally committed about our employees, our Clients & Customers, our work culture and especially our technology. We are a flat organization where opportunities are provide based on talent and we always encourage new ideas of employees through collaboration and creativity.
We are seeking for smart-driven JAVA Programmer’s to join us. The candidate will work with the global product development team and subject matter experts. An ideal candidate must possess excellent business skills with outstanding Analytical & logical skills, professionalism, Intelligent and should have the zeal to learn.
Desirable Skills & Expertise:
- Master’s or bachelor’s degree in Engineering (CSE / IT / MCA / Software) are preferred.
- Possesses intellectual humility; smart-driven, creative and able to learn things from slipups, willing to raise others up.
- Excellent Logical & Analytical skills with integrated professionalism at all levels.
- Strong Knowledge in Java, Frame-works like Spring, Spring boot; J2EE technologies like Servlets, JSP and Web Application Server.
- Good knowledge in web technologies like HTML, Java Script, XML and CSS.
- Candidates must be team players, have a thirst for knowledge, the energy to work in a fast-paced environment and a desire to grow in an entrepreneurial company.
Key Responsibilities:
- The role is responsible for designing, coding and deploying of high-performance applications.
- Excellent interpersonal, Communication and effective organizational skills with solid technical skills.
- Should be able to communicate effectively with both technical and non-technical personnel.
- Excellent trouble shootings & problem-solving skills.
- Practical Knowledge with SDLC from requirement analysis through testing and deployment is a plus.
- Devising possible solutions to anticipated problems.
- Develop and maintain strong product knowledge.
- Guide the clients through various stages of the project and transition to support organization.
- Review existing business processes and participate in the Process Improvement Program.
SaaS (Mandatory)and Java, Spring boot, Azure is good go
Skills Required:
· Strong application development and design experience in highly Scalable enterprise JAVA/J2EE systems.
· Strong experience in complex application design, ability to provide solutions, design Concepts, design patterns.
· Strong understanding of Java best practices, system scalability, and performance tuning.
· Expertise in Spring (MVC, CORE, Boot, JDBC).
· Strong Knowledge of Restful services, XML, JSON are required.
· Having knowledge in Hadoop/Bigdata/ETL/Reporting systems is a plus.
Responsibilities
Understand systems enabling third party integration
Translate business requirements to the APIs and SDKs exposed by these systems. Figure out the optimum interfaces to interact with these.
Build generic connectors to interact with these technologies.
Design, implement, deploy and maintain the connectors.
Minimum Qualifications
Bachelor’s degree in Computer Science or related fields.
Experience needs to be around 8+ years
Strong problem-solving skills.
Ability to understand the technology and its APIs in quick time.
Strong design pattern fundamentals.
Good core java skills like Multi-threading, collection framework.
Good communication and mentorship skills
Ability to put together architecture diagrams and designs
We are looking for Tech geeks having hands-on experience and in love with building scalable, distributed and large web/mobile products and tech solutions. He/She must be an excellent problem solver with passion to self-learn and implement web technologies (frontend + backend). He/She would be responsible for the architecture design, code review, and technology build and deployment activities of the product.
Required Skills :
1. Experience in Core Java, Hibernate, Spring, SQL.
2. Hands-on experience with, Collections, Algorithms, Problem Solving.
3. Knowledge of repository tools such as GitHub.
4. Willing to work on additional tasks and responsibilities that will contribute towards team, department, and company goals.4. Work collaboratively within a team of other engineers.
5. Good programming and debugging skills.
Benefits :
> Health Insurance
> Work from Home
> Fast growth and more visibility into the company
> Experience to work on the latest technology
> Competitive Learning Environment with supportive co-workers
> Employee friendly HR Policies
> Paid leaves up to certain limits
> Competitive salaries & Bonuses
> Liberal working atmosphere
> Get mentored by the best in the industry
Work Schedule:
Day Shift/Flexible working hours
Monday to Friday
Location:-Gurgaon
Currently WFH
Exp with Product based organisation only
Exp Required:- 3 to 9 yrs
Responsibilities
- Work with a talented team to invent, design and build software that is stable and perform ant
- Primary role will be quality and timely delivery of the application/ feature/ module your team will be working on
- Adopt and execute good design philosophy and code writing practices
- Ensure the code goes through rigorous tests and quality checks before deployment.
- Work with other software engineers and database engineers to set excellent development practices and deliver innovative changes in new and existing products.
- Be hands-on technical, thus, leading by example using web, mobile and database technologies.
- Work on project ideas with customers, stakeholders and peers
- Be actively involved in code review process, design discussions, team planning
Basic Qualifications
- Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline
- Experience in software design and development
- Proficiency with at least one Object Oriented language (e.g. Java)
- Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem-solving, and complexity analysis
- A strong track record of project delivery for large, cross-functional projects
- Experience with building high-performance, highly available and scalable distributed systems
- Experience with API Design, ability to architect and implement an intuitive customer and third-party integration story
- Ability to think and analyse both breadthwise (client, server, DB, control flow) and depth-wise (threads, sessions, space-time complexity) while designing and implementing services
2. Demonstrable abilities to optimize code. Strong analytical skills for effective problem solving
3. Experience in Java Spring, Hibernate, Github. Spring boot optional








