Backend Developer

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:

Location: bangalore

Mode of Work : 3 days from Office

DSA(Collections, Hash maps, trees, Linkedlist and Arrays, etc), Core Oops concepts(Multithreading, Multi Processing, Polymorphism, Inheritance etc) Annotations in Spring and Spring boot, Java 8 Vital features, database Optimization, Microsevices and Rest API

• Design, develop, and maintain low-latency, high-performance enterprise applications using Core Java (Java 5.0 and above).
• Implement and integrate APIs using Spring Framework and Apache CXF.
• Build microservices-based architecture for scalable and distributed systems.
• Collaborate with cross-functional teams for high/low-level design, development, and deployment of software solutions.
• Optimize performance through efficient multithreading, memory management, and algorithm design.
• Ensure best coding practices, conduct code reviews, and perform unit/integration testing.
• Work with RDBMS (preferably Sybase) for backend data integration.
• Analyze complex business problems and deliver innovative technology solutions in the financial/trading domain.
• Work in Unix/Linux environments for deployment and troubleshooting.

Required Skills & Experience:

• 3– 8 years of strong hands-on experience in Core Java, Spring boot, microservices, data structures.
• Deep understanding of Object-Oriented Programming (OOP), data structures, algorithms, and design patterns.
• Proven experience with Spring, CXF, and REST/SOAP web services.
• Solid understanding of microservices architecture and distributed systems.
• Experience working with Sybase or other relational databases.
• Expertise in multithreading, concurrency, and high-throughput server-side development.
• Exposure to capital markets, sales & trading platforms, or similar financial services applications.
• Good working knowledge of Unix/Linux environments.
• Experience in solution architecture and design documentation is a strong plus.
• Strong problem-solving skills, analytical thinking, and a proactive attitude.
• Excellent communication and interpersonal skills to work effectively with global teams.

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Previous experience in investment banking, capital markets, or financial technology domains

Your Skills & Experience:

•1-8 Years experience of implementing commerce application on any eCommerce platform in last 3 years

• If you have not worked in eCommerce platform, we can still discuss with you if you are expert in Java/.Net and understand REST/SOAP webservices.

•Demonstrate proficiency in build and release management using CI/CD strategies (leveraging tools like Jenkins and DevOps practices), implement Mocha/Chai unit and functional test cases in order to reduce costs while ensuring quality

•Contributes to designing, implementing and documenting the build release process as well as system configuration and deployment characteristics of the applications

•Participates in technical walkthroughs/ code reviews of other team members’ components, test plans and results and help them with gaps

•Collaborate with architect to define implementation processes and quality gates and standards

•Identifies risks and issues, and help monitor them

•Guides the development of reference and resource materials

•Mentors developers in improving their platform knowledge and development skills

•Communicate technical design to the developers and help/guide them in the implementation

•Participates in Agile sprints

Java Developers

Exp: 3-5 years

Joining: 15-30 days

Skillset: Java, Microservices, Spring, Springboot, Hibernate

Your Role

We at Innovaccer are looking for  Software Development Engineer-II (Backend) to build the most amazing product experience. You’ll get to work with other engineers to build delightful feature experience to understand and solve our customer’s pain points.

A Day in the Life

• Building efficient and reusable applications and abstractions.
• Identify and communicate back-end best practices.
• Participate in the project life-cycle from pitch/prototyping through definition and design to build, integration, QA and delivery
• Analyse and improve the performance, scalability, stability, and security of the product
• Improve engineering standards, tooling, and processes

What You Need

• 3+ years of experience with a start-up mentality and high willingness to learn
• Solid knowledge of Python and experience with any web framework (Django, etc)
• Aggressive problem diagnosis and creative problem-solving skill
• Experience in Web Services and REST.
• Experience in RDBMS & NoSQL database.
• Experience in Solution Architecture.
• Proven experience with Git.
• Knowledge of high-level JavaScript concepts like asynchronous programming, closures, promises, data-binding, async-await, etc.
• Bachelor's degree in Computer Science/Software Engineering.

Preferred Skills

• Expert in Python and Django Code Reviews
• Server Deployment
• Mongo DB/Postgres SQL DB
• JIRA Administration

What We Offer

• Industry-focused Certifications: We want you to be a subject matter expert in what you do. So, whether it’s our product or our domain, you will dive straight in and be certified by the best in the world.
• Quarterly Rewards and Recognition Programs: We foster learning and encourage people to take moonshots. When you achieve your goals, we recognize and reward your hard work. 
• Health Benefits: We cover health insurance for you and your loved ones. 
• Sabbatical Policy: We encourage people to take time off and rejuvenate, upskill and pursue their interests so that they can generate new ideas for innovating at Innovaccer.
• Pet-friendly office and open floor plan. No mundane cubicles.

Position: Java developer

Experience: 4-5 years

Notice period- immediate to 7 days

• Core Java, J2EE, Spring, Spring Boot, Angular, JavaScript, JQuery, Bootstrap, CSS3, HTML, Ajax, JSON, SQL, PLSQL, Web Services, Restful API’s

• Having good experience in writing complex database queries.

• Should be a quick learner and keen on learning new technologies

• Good knowledge in Object Oriented Programming Principles, Design Patterns and Software Architecture

• Experience with building SaaS-based web applications

• Ability to work as part of a team and offer new ideas

• Working knowledge of GIT version control system

• Product development background.

As a Software Development Engineer at Amazon, you have industry-leading technical abilities and demonstrate breadth and depth of knowledge. You build software to deliver business impact, making smart technology choices. You work in a team and drive things forward. 

Top Skills

•    You write high quality, maintainable, and robust code, often in Java or C++.

•    You recognize and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations.

•    You have experience building scalable software systems that are high-performance, highly-available, highly transactional, low latency and massively distributed.

Roles & Responsibilities

•    You solve problems at their root, stepping back to understand the broader context.

•    You develop pragmatic solutions and build flexible systems that balance engineering complexity and timely delivery, creating business impact.

•    You understand a broad range of data structures and algorithms and apply them to deliver high-performing applications.

•    You recognize and use design patterns to solve business problems.

•    You understand how operating systems work, perform and scale.

•    You continually align your work with Amazon’s business objectives and seek to deliver business value.

•    You collaborate to ensure that decisions are based on the merit of the proposal, not the proposer.

•    You proactively support knowledge-sharing and build good working relationships within the team and with others in Amazon.

•    You communicate clearly with your team and with other groups and listen effectively. 

Skills & Experience

•    Bachelors or Masters in Computer Science or relevant technical field.

•    Experience in software development and full product life-cycle.

•    Excellent programming skills in any object oriented programming languages - preferably Java, C/C++/C#, Perl, Python, or Ruby.

•    Strong knowledge of data structures, algorithms, and designing for performance, scalability, and availability.

•    Proficiency in SQL and data modeling.

Requirements

• 2-5 years of experience as a back-end developer
• Expertise with Java 1.8 and React JS
• Understanding of OOPS concepts, Design Principles, and implementations of different types of Design Patterns.
• Should have a strong acumen in Data Structures, Algorithms, problem-solving.
• Experience in Microservices
• Extensive experience in developing Web Services APIs using RESTful API design
• Comfortable writing Unit Test Cases
• Good to have experience/knowledge of
  • Docker,
  • Scala,
  • Python, and
  • AWS and other Cloud platforms
• Able to connect the dots between code and business value

Responsibilities

• Engage in high-level conversations about business strategy and the role tech plays in it
• Write well-designed, testable, and efficient code that powers our application
• Write specs and do planning for everything we build
• Conduct application analysis, testing, and debugging
• Diligently document code to keep it clean and transparent
• Ensure cross-browser and device compatibility

You Are

• You believe it’s always on you to make sure anything you do is a success.
• You have the ability to make quick and effective decisions.
• In love with a challenge. You revel in solving problems and want a job that pushes you out of your comfort zone.
• Open to change. You’re inspired by the endless ways in which everything we do can always be improved.