Sr. Product Engineer

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.

Job Description:

As per our conversation, please find below the job description for your review. 

·       Strong written/verbal communication skills

·       Minimum 5-14 Years of Core Java Programming with Collections Framework, Concurrent Programming, Multi-threading (Good knowledge in Executor service, Forkjoin pool and other threading concepts)

·       Good knowledge of the JVM with an understanding of performance and memory optimization.

·       Extensive and expert programming experience in JAVA programming language (strong OO skills preferred).

·       Excellent knowledge on collections like, Array List, Vector, LinkedList, HashMap, Hash Table, HashSet is mandate.

·       Exercised exemplary development practices including design specification, coding standards, unit testing, and code-reviews.

·       Expert level understanding of Object-Oriented Concepts and Data Structures

·       Good experience in Database (Sybase, Oracle, or SQL Server) like indexing (clustered, non clustered), hashing, segmenting, data types like clob / blob, views (materialized), replication, constraints, functions, triggers, procedures etc.

·       While you may already know about Wissen and the company history, here is a quick rundown for you.

About Us

We began in 2015 with an entrepreneurial vision to bring a digital change in the manufacturing landscape of India. With a team of 1500(1k cluster guys) we are working towards the digital transformation of business in the manufacturing industry across domains like Footwear, Apparel, Textile, Accessories etc. We are backed by investors such as Info Edge (Naukri.com ), Matrix Partners, Sequoia, Water Bridge Ventures and select Industry leaders.

Today, we have enabled 4000+ Manufacturers to digitize their distribution channel.

Roles & Responsibilities

Writing and testing code, debugging programs and integrating applications with third-party web services. To be successful in this role, you should have experience using server-side logic and work well in a team.

Ultimately, you'll build highly responsive web applications that align with our business needs. Write effective, scalable code Develop back-end components to improve responsiveness and overall performance Integrate user-facing elements into applications.

Test and debug programs

Improve functionality of existing systems Implement security and data protection solutions Assess and prioritize feature requests

Coordinate with internal teams to understand user requirements and provide technical solutions Expertise in at least one popular Python framework (like Django, Flask, etc)

Team spirit

Good problem-solving skills

Requirements

1 to 5 years of experience as a Python Developer

Hands on experience of Flask, Django or Gin or Revel or Sanic

Knowledge of design/architectural patterns will be considered as a plus

Experience working in an agile development environment with a strong focus on rapid software development

Experience in AWS or similar cloud technologies

Excellent troubleshooting and debugging skills

Proven ability to complete assigned task according to the outlined scope and timeline

Experience with messaging frameworks such as SQS/Kafka/RabbitMq

Experience with Elastic Search

Willingness to learn new and different technologies

• Understand the requirement and convert that into API design.
• Write the code independently 
• Unit testing and bug fixing
• Write code with standards and conventions and follow best practices.
• Know how to engineer a full-fledged system and not just write code to make things work.
• Knowledge of agile methodologies, scrum.
• Should be able to guide juniors.
• Communication with clients for requirement understanding.
• Code Merging and deployment

• REST APIs in Spring Boot and Spring Framework
• MySQL Database, complex SQL queries (like joining multiple tables)
• Spring Security, JWT Tokens
• Third party Integration
• Unix basic commands
• Apache Tomcat, Deployment of War in Unix environment.
• Jira or any other Issue/Task tracking systems.

• 3+ year of experience in Development in JAVA technology.
• Strong Java Basics
• SpringBoot or Spring MVC
• Hands on experience on Relationl Databases (SQL query or Hibernate) + Mongo (JSON parsing)
• Proficient in REST API development
• Messaging Queue (RabitMQ or Kafka)
• Microservices
• Any Caching Mechanism
• Good at problem solving

Good to Have Skills:

• 3+ years of experience in using Java/J2EE tech stacks
• Good understanding of data structures and algorithms.
• Excellent analytical and problem solving skills.
• Ability to work in a fast paced internet start-up environment.
• Experience in technical mentorship/coaching is highly desirable.
• Understanding of AI/ML algorithms is a plus.

1. Role: IoT Application Development (Java) Skill Set:

• Proficiency in Java 11.
• Strong knowledge of Spring Boot framework.
• Experience with Kubernetes.
• Familiarity with Kafka.
• Understanding of Azure Cloud services.

1 Experience: 3 to 5 years Location: Bangalore ; Notice period : Immediate Joiners

1. Job Description: We are seeking an experienced IoT Application Developer with expertise in Java to join our team in Bangalore. As a Java Developer, you will be responsible for designing, developing, and deploying IoT applications. You should have a solid understanding of Java 11 and the Spring Boot framework. Experience with Kubernetes and Kafka is also required. Familiarity with Azure Cloud services is essential. Your role will involve collaborating with the development team to build scalable and efficient IoT solutions using Java and related technologies.

Java Backend Engineer - Fintech Rocketship Pilot

Distributed systems, scalability, reliability, robustness, security, quality, building responsive real time systems - do these terms get your adrenaline high? Come be a part of a high growth, fast paced engineering team building for India’s new generation.

We have an open culture, you take responsibility and ownership of what you do. No bureaucracy. No bullsh*t.

If you are up for big engineering challenges, personal and professional growth, then let’s join forces!

You’ll fit right in if you have - 2-3 years of experience building, running and maintaining production services Strong with Java and JVM based services along with PostgreSQL Comfortable working with multiple cloud providers: mainly GCP and AWS Comfortable with CI and CD tools and best practices Done TDD and values TDD

Good to have –

We are looking for a Java Developer with experience in building high-performing, scalable, enterprise-grade applications.

You will be part of a talented software team that works on mission-critical applications. Java developer roles and responsibilities include managing Java application development while providing expertise in the full software development lifecycle, from concept and design to testing.

Java developer responsibilities include designing, developing and delivering high-volume, low-latency applications for mission-critical systems.

Experience : 2+ years

Location : Mumbai (WFO only) Initial few months work from home

Notice Period : 0 to 30 days ( Immediate joiners are preferred)

Roles & Responsibilities :

(This role encompassing both API engineering using Java stack and web development

Experience in designing, developing, testing and successfully deploying critical and complex projects.)

• Contribute in all phases of the development lifecycle
• Write well designed, testable, efficient code
• Ensure designs are in compliance with specifications
• Prepare and produce releases of software components
• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review

· Build reusable code and libraries for future use

Required Skill set :

· Java background with a minimum of 3+ years experience in Java technologies.

· Experience in designing and developing application backend using frameworks like Spring Boot, Spring MVC, Jersey, JPA, Hibernate, SQL, Linux, JSON, XML, OAuth etc.

· Well & good if has Experience with frontend technologies

· Experience with both SQL and NoSQL database systems and writing SQL queries

· Strong experience building, designing, and consuming Restful web services.

· Exposure of Cloud Infrastructure - AWS and Alibaba Cloud

· Excellent understanding of ORM and Database concepts

· Experience with developing unit test code using JUNIT, Power Mock/EasyMock/Mockito etc.

· Experience with Git, Maven and CI/CD pipelines to deploy on Cloud applications

· Experience & knowledge on Micro services Architecture and API development using Java, spring, Spring Boot

· Experienced in roles conducting requirements gathering, writing user stories, creating application design and using design patterns

· Good knowledge on credentials/secrets management and data encryption techniques

· Good knowledge on coding standards, design patterns, unit testing.

· Good hands-on BitBucket/Github is preferred.