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.

Role:Java Developer

Job Description: We are looking for a talented and motivated Software Engineer with expertise in both Windows and Linux operating systems and solid experience in Java technologies. The ideal candidate should be proficient in data structures and algorithms, as well as frameworks like Spring MVC, Spring Boot, and Hibernate. Hands-on experience working with MySQL databases is also essential for this role.

Responsibilities:

● Design, develop, test, and maintain software applications using Java technologies.

● Implement robust solutions using Spring MVC, Spring Boot, and Hibernate frameworks.

● Develop and optimize database operations with MySQL.

● Analyze and solve complex problems by applying knowledge of data structures and algorithms.

● Work with both Windows and Linux environments to develop and deploy solutions.

● Collaborate with cross-functional teams to deliver high-quality products on time.

● Ensure application security, performance, and scalability.

● Maintain thorough documentation of technical solutions and processes.

● Debug, troubleshoot, and upgrade legacy systems when required.

Requirements:

● Operating Systems: Expertise in Windows and Linux environments.

● Programming Languages & Technologies: Strong knowledge of Java (Core Java, Java 8+).

● Frameworks: Proficiency in Spring MVC, Spring Boot, and Hibernate. ● Algorithms and Data Structures: Good understanding and practical application of DSA concepts.

● Databases: Experience with MySQL – writing queries, stored procedures, and performance tuning.

● Version Control Systems: Experience with tools like Git.

● Deployment: Knowledge of CI/CD pipelines and tools such as Jenkins, Docker (optional

• Bachelor's degree in Computer Science or a related field with 2-5 years hands-on experience with Java based open source tech stack
• Expertise in Core Java, Data Structures, J2EE with proven expertise in Spring MVC, Spring boot, Microservices architecture, Web Services (Rest) in distributed systems
• Practical experience with MySQL and /or NoSQL databases like Couchbase, DynamoDB, Cassandra
• Practical experience with Caching frameworks Memcached/Redis, Message Queues (JMS, RabbitMQ)
• Practical hands-on experience in JavaScript UI preferred
• Experience in building high performance, high availability REST APIs and REST clients
• Expertise with log file analysis using one or more of ELK, or Splunk
• Prior experience with CI/CD, Container architecture - Docker/Jenkins and build scripts Maven/Ant
• Prior experience in transformation to cloud platforms is preferred
• Experience with Kafka is a definite plus
• Experience with building analytics pipeline and analytics DB is a plus
• Strong practical experience in applying design patterns, multithreading concepts to solve complex problems, strong problem solving skills

• 2+ years of Hands-on experience in Python, Django, Flask, Bottle, Design Patterns, Web Services (SOAP/HTTP, REST APIs)
• 2+ years of hands-on experience with Postgress, MongoDB.
• Experience with cache-store / message broker like Redis / RabbitMQ / Kafka
• Experience with AWS
• Experience in front-end development using react.js is a plus.
• Proficient understanding of code versioning tools, such as Git / Mercurial /bitBucket.
• DevOps knowledge to deploy code in production and hands-on experience with docker / Kubernetes.
• Self-motivated and a good team player.
• Good communication and interpersonal skills.
• Bachelor’s Degree in Engineering from a reputed Institute

Rejolut is one of the award-winning fastest-growing emerging tech company which is working on leading technology like Blockchian, ML & AI, Complex mobile & web apps, IoT etc.

The ideal candidate will be responsible for developing a highly scalable and secure code.

Responsibilities:-
-Able to take the Extreme Ownership of modules/product/projects
-Able to learn & implement new technology/framework/library at God Speed
-Able to come with an optimal solution for the business problem
-Can handle calls with the client & customer to know their feedback
-Writing clean code & able to dig into other's code or open-source code
-Build pixel-perfect, buttery smooth UIs across both mobile platforms.

- Maintain product roadmap, release schedules, and architectural standards that ensure alignment with business objectives.

Desired Candidate Profile:-

- Represent the technological agenda in staff meetings and when making hiring decisions
- Flexible to adapting & introducing new and latest technologies to the organization
- Maintain current knowledge of technology landscape and developments
- Innovation & Optimizing R&D.
- Defining the software technology strategy, architecture, and road-map.
- Would love to do more coding yourself, but accept that you can bring the most value by helping others to excel.
- Should have built large scale applications with modern web frameworks & technologies
-Should be a fast thinker, hands-on manager, and strong communicator and think and act like an entrepreneur
-Consolidate our technology platforms and create plans for each Track, analyze and monitor technology performance metrics
-Take the initiative in thought leadership, innovation, and creativity
-Spearhead IT projects to increase our market reach and improve our USP
-Oversee all system design and changes in system architecture
-Technical knowledge (NOT All but would be happy to take someone with max. Skills knowledge)
-Fullstack (Web), Python, Machine Learning, BlockChain, RoR, ReactJS, NodeJS, mean stack, MernStack, Front End, Mobility, ReactNative, React JS, Javascript, etc

Culture

- Fast-paced, intellectually stimulating, steep learning, and growth

- Close-knit, hardworking, supportive colleagues

- Challenging work

- Flat organization with no hierarchy

- If you like problem-solving, and love the latest technology, there are very few better places

How we are different 
 -We are a young and dynamic team who are obsessed with solving the business problem at scale -We are a technology agnostic company who focus more on finding the optimal solution to the business problem rather than technology

 Why to join us
 -We provide a huge learning curve. Spending 1.5-2 years with us will put you 3 years ahead in the career
-We work only on cutting edge technology like React, React Native, Flutter, NodeJS, Python, Go, Svelte, ELM
-There are two technology Co-founder in the company who are pretty much hands-on and have earlier bult the Consumer application which is downloaded millions of time and are in leadership position in copanies like Samsung, Purplle, Loylty Rewardz
-Get mentored by the best in the industry
-Flexible working hours
-Perks best in the industry

Key responsibilities for this role include:

• Lead one of the product verticals in the development of technology strategy, planning, hiring and execution of the next iteration of the WeInvest platform.

• Institutionalize a strong software engineering culture and facilitate a rapid, iterative, layered development approach.

• Be hands on with the coding, evaluate design and architecture choices, do in-depth code reviews, and implement standards and practices for software development.

• Inspire the engineering team to build quality, scalable code by pairing with team members periodically.

• Participate in the definition and management of high-quality product roadmaps based on business, product & tech strategy.

• Proactively identify and resolve strategic issues that may impair the team’s ability to meet strategic, financial, and technical goals.

The ideal candidate will have:

• Masters /BE/ B.Tech from a reputed institute

• About 6-10 years professional experience in software development.

• Excellent logical and analytical reasoning capabilities combined with strong knowledge of core

computer science concepts like algorithms, data structures, software design patterns, OOP etc.

• Should have experience in all the phases of SDLC

• Must have experience in leading a team. (At least 2-3 people)

• Be an expert in ruby on rails with experience OR from Fintech, Wealth Management OR Investment

• Management Domain with experience in any of the programming languages (Java/Python/Ruby).

• Breadth of experience in multiple technologies, tools, frameworks and processes is a big plus.

• Excellent understanding of core computer science concepts like algorithms, data structure,

Software design patterns, OOP etc. Be able to lead the team in design & architecture discussions,

introduce new tools, concepts & process to the team and guide other members of the team.

• Experience working in an agile team with software engineering practices like automated testing,

test- driven-development, continuous integration etc is a big plus.

• Excellent oral and written communication.