Senior Full Stack 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:

We are seeking a highly motivated and skilled Full Stack Java Developer with strong experience in backend and frontend development, cloud deployment, and modern DevOps practices. The ideal candidate will have a solid background in Java/J2EE technologies, hands-on experience in developing microservices on AWS, and a good understanding of CI/CD pipelines and monitoring tools.

Key Responsibilities:

• Design, develop, test, and maintain scalable web applications and microservices.
• Implement backend logic using Core Java, J2EE, Spring Boot, Spring Batch, JPA, and REST APIs.
• Build responsive UIs using React, HTML, CSS, and integrate them with backend services.
• Develop and deploy microservices using AWS services like ECS, EC2, S3, API Gateway, Aurora, ALB, and Route 53.
• Participate in Agile development processes, including sprint planning, stand-ups, and retrospectives.
• Write unit and integration tests using JUnit and Cucumber.
• Monitor application performance using APM tools and analyze logs using Splunk or similar tools.
• Implement CI/CD pipelines using Jenkins, Maven/Gradle, and Git/Bitbucket.
• Work with containerization and orchestration tools like Docker and Kubernetes.
• Collaborate with cross-functional teams using tools like JIRA and Confluence.

Required Skills & Experience:

• Strong hands-on experience in Java/J2EE application development.
• Proficiency in Spring frameworks (Spring Boot, Batch) and RESTful services.
• Frontend development experience with React, HTML, CSS.
• Solid experience with AWS cloud technologies and deployment practices.
• Experience in writing and maintaining automated tests with JUnit and Cucumber.
• Knowledge of APM tools and log analysis tools (e.g., Splunk).
• Familiarity with CI/CD pipelines and tools (Jenkins, Maven/Gradle, Git).
• Experience with Docker and Kubernetes.
• Excellent problem-solving, debugging, and analytical skills.
• Good communication skills and ability to work in Agile teams.

Preferred Qualifications:

• AWS certification is a plus.
• Experience with Amazon Aurora and API Gateway in production environments.
• Knowledge of SOA, messaging systems (e.g., MQ), and security best practices.

Job Summary

We are seeking an experienced Java + Kafka Developer to design, develop, and maintain high-performance, event-driven applications. The ideal candidate will have strong backend development skills in Java and hands-on experience with Apache Kafka for building scalable, real-time data processing systems.

Key Responsibilities

• Design and develop event-driven microservices using Java and Apache Kafka
• Build and maintain Kafka producers, consumers, topics, and streams
• Implement message processing, retries, error handling, and idempotency
• Develop and integrate RESTful APIs
• Ensure high availability, scalability, and performance of Kafka-based systems
• Monitor, troubleshoot, and optimize Kafka and application performance
• Collaborate with architects, DevOps, and QA teams
• Participate in code reviews and follow best practices
• Contribute to system design and technical discussions

Required Skills

• 6+ years of experience in Java backend development
• Strong hands-on experience with Apache Kafka
• Experience with event-driven and streaming architectures
• Solid understanding of microservices architecture
• Experience with REST APIs
• Good knowledge of multithreading, concurrency, and JVM concepts
• Familiarity with SQL / NoSQL databases
• Strong problem-solving and debugging skills

Job Description

We are looking for motivated IT professionals with at least one year of industry experience. The ideal candidate should have hands-on experience in AWS, Azure, AI, or Cloud technologies, or should be enthusiastic and ready to upskill and shift to new and emerging technologies. This role is primarily remote; however, candidates may be required to visit the office occasionally for meetings or project needs.

Key Requirements

• Minimum 1 year of experience in the IT industry
• Exposure to AWS / Azure / AI / Cloud platforms (any one or more)
• Willingness to learn and adapt to new technologies
• Strong problem-solving and communication skills
• Ability to work independently in a remote setup
• Must have a proper work-from-home environment (laptop, stable internet, quiet workspace)

Education Qualification

• B.Tech / BE / MCA / M.Sc (IT) / equivalent

MERN Stack Developer

2.5+ YEARS

Roles and Responsibility

Working experience as a MERN Stack Developer.

Design, code and manage large scale services using cutting edge technologies (NodeJs, ReactJS/AngularJS/VueJs etc).

In-depth knowledge of NodeJS.

Creating secure RESTful-based web services in XML or JSON.

Good knowledge in ECMAScript(6/7/8) is essential.

Strong fundamentals in Data Structures and Algorithms.

Experience implementing applications using Angular or React.

Should have an working experience with state management, React Hooks, React Fragments etc.

Should have a good Knowledge of Redux, Flux, and Webpack.

Writing the test case for components.

Experience working with Docker, Redis, MySQL, MongoDB.

Comfortable taking challenges and learning new technologies.

Excellent communication skills and client-facing experience.

Ability to mentor and build the team.

Knowledge of code versioning tools such as Git, Bitbucket or SVN.

Knowledge of the following will be considered as an advantage

Experience with Socket.IO for Real time communications.

Consumer Web Development Experience for High-Traffic, Public Facing web applications.

Caching with Redis For Speedy Performance.

Experience with cloud message APIs.

Knowledge of GraphQL, PostgreSQL.

Knowledge of NextJs.

Knowledge of any frameworks of NodeJS.

Experience with Progressive Web applications.

Knowledge of SSR.

The database market is massive (the IDC estimates it to be $119B+ by 2025!) and MongoDB is at the head of its disruption. The MongoDB community is transforming industries and empowering developers to build amazing apps that people use every day. We are the leading modern data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity.

MongoDB is expanding our global team of consulting engineers to further our ongoing plans for worldwide growth!

MongoDB Professional Services works with customers of all shapes and sizes in all verticals, from tier-1 banks to small web startups, on a variety of interesting use cases from e-commerce platforms to trading systems to social media applications. Solve interesting problems, gain incredible cross-stack experience, work with the best and brightest people in the business, network with industry leaders, and see new places - all in a day’s work!

MongoDB consulting exists to support the development of our customers’ vision, accelerate customers’ time to value, and drive a multitude of customer adoption scenarios - from building new solutions to modernizing legacy applications or migrating to the cloud. Our consulting solutions ensure that organizations get the best out of MongoDB.

Be one of the recognized experts in this rapidly growing field in a high-growth software company successfully challenging the status quo of the database industry. 

Shift Timing

You will get an opportunity to work with Global customers (APAC, EMEA, and North America) So this would require you to work in monthly rotational shifts.

This role can be based out of our Gurugram/Bangalore Office or remotely in the India region.

Candidate Profile

We’re looking for a highly technical individual, with strong problem-solving and communication skills, and is comfortable working closely with customers. 

Our ideal candidate will have

• Excellent analytical, diagnostic skills, and problem-solving skills
• High motivation for a role that combines deep technical and customer-management dimensions
• Confidence speaking and presenting in a collaborative customer setting
• 4+ years of software development/consulting/support experience, preferably in a number of distinct industries/verticals
• Familiarity with enterprise-scale software architectures, application development methodologies, and software deployment and operations
• Competence in at least one of the following languages (in no particular order): Java, C#, Python, Node.js (JavaScript), Ruby, Go.
• Experience with databases such as MongoDB, Oracle, MS SQL Server, PostgreSQL
• Familiarity with Linux diagnostics and tuning; Windows tuning knowledge is a plus
• Should have the strong capability with, minimally, both English and any local language - as necessary

As a core member of the MongoDB Professional Services team, you will

• Contribute to helping migrate customers from self-hosted MongoDB on-prem/cloud to Atlas
• Contribute to customer implementations at any or all phases of the application lifecycle: portfolio assessment, application planning, and design, deployment architectures, development and build, integration and release configuration, system testing, production operations, application optimization, and best practices adoption
• Work as part of a wider delivery team comprising fellow consulting engineers, project managers, and account teams
• Cultivate your individual MongoDB reputation as a trusted advisor to guide MongoDB and our customers into the future
• Partner with Product and Engineering teams to influence the direction of the MongoDB product roadmap

Success Measures

As a Consulting Engineer, you will be successful in this role when you can execute the following

• Become a field expert in “everything MongoDB”
• Communicate complex technical proposals simply and convincingly to a wide range of audiences
• Gain a reputation as a trusted advisor with your clients, large and small
• Ensure your client’s success with their MongoDB endeavors
• Maintain the required level of billable utilization
• Influence MongoDB product development by contributing experience from the field
• Successfully communicate the product roadmap to external clients
• Constantly work on improving yourself, our products and our team

Do you know, Why MongoDB is a fantastic place to work and build your career?

• Top NoSQL database in the world
• Largest Ecosystem and the fastest growing database in the world
• Close to 26,800 customers in more than 100 countries and over 175+ million downloads
• Sequoia Capital and a number of other Top VC firms have invested in MongoDB. Sequoia Capital calls us out as one of their flagship portfolios; Sequoia has also invested in Apple, Google, Youtube, and WhatsApp
• 9-figure revenue company, with very high double-digit growth rates  
• Be a part of the company that’s reinventing the database, focused on innovation and speed
• Enjoy a fun, inspiring culture that is engineering focused
• Work with talented people around the globe
• Learn, contribute, and make an impact on the product and community

Life at MongoDB

Our India office culture

• 300+ people, with teams in Sales, Engineering, HR, Finance, IT & Marketing
• Regular group outings and opportunities to get to know your colleagues
• Employee affinity groups

 Our Benefits

• Competitive salary and equity
• Comprehensive Health cover, dental cover, travel insurance & Life Insurance.
• Free lunch twice per week and a fully stocked kitchen with healthy and sweet treats in office.
• Macbooks are company standard
• 26 weeks Maternity & 20 Paternity leave to spend time with new arrivals

let’s check out the below link to know more about the role and Flex Consulting Team in India:

https://www.mongodb.com/blog/post/meet-our-growing-flex-consulting-team

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys.https://www.mongodb.com/blog/channel/culture"> Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

You will make an ideal candidate if you have: 

• Overall 6+  years of software development experience in building web-based and highly scalable applications 

• Excellent understanding of core computer science concepts like algorithms, data structure, system design, OOP, etc. 

• Deep knowledge and development expertise in Core Java and SpringBoot 

• Experience in using dockers and Linux.

• Hands-on coding experience in developing web applications with REST APIs

• Good understanding/exposure to Kafka and Elastic.(must have)

• Log stash understanding is add-on

• Worked in a CI/CD environment with Jenkins and handled deployments by yourself 

• Experience working in an agile team with software engineering practices like automated testing, test-driven-development, continuous integration, etc is a big plus.