11+ JavaMail Jobs in Mumbai | JavaMail Job openings in Mumbai

Required Qualifications and Skills:

• 3-5 years of work experience in the development background, with at least 2 years experience in Java, Spring, Sprint Boot, Hibernate or JPA, MySQL, Oracle, Spring MVC.
• B.E. degree in Computer Science, Graduate in Software Engineering or equivalent
• Experience in Core JAVA, Spring, Spring Boot Frameworks.
• Experience with ORM's like Hibernate.
• Good knowledge of developing RESTful web services using Spring Boot, Java1.x,Servlet2.4, JSP2.0, JDBC3.0, Java Mail, Struts2.x, HTML, HTML5, Angular7+, JavaScript, JSF, Bootstrap2.x-3.x, JQuery & CSS 3.x, Maven 3.x, Apache Tomcat7
• Knowledge of Cloud AWS.
• Experience in any Messaging Queue e.g. Apache Kafka, ActiveMQ, etc.
• Experience on Web services with REST and SOAP.
• Experience working on tool set like Eclipse IDE, SQL clients.
• Experience using application server like Jboss, TomCat, Wildfly, glassfish.
• Experience in using tools like SOAP UI, POSTMAN
• Ability to write SQL queries to fetch data.
• Knowledge of Micro services, Redis Cache and Mongo DB (or any other NoSQL) is good to have

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 title - Python developer

Exp – 4 to 6 years

Location – Pune/Mum/B’lore

PFB JD

Requirements:

• Proven experience as a Python Developer
• Strong knowledge of core Python and Pyspark concepts
• Experience with web frameworks such as Django or Flask
• Good exposure to any cloud platform (GCP Preferred)
• CI/CD exposure required
• Solid understanding of RESTful APIs and how to build them
• Experience working with databases like Oracle DB and MySQL
• Ability to write efficient SQL queries and optimize database performance
• Strong problem-solving skills and attention to detail
• Strong SQL programing (stored procedure, functions)
• Excellent communication and interpersonal skill

Roles and Responsibilities

• Design, develop, and maintain data pipelines and ETL processes using pyspark
• Work closely with data scientists and analysts to provide them with clean, structured data.
• Optimize data storage and retrieval for performance and scalability.
• Collaborate with cross-functional teams to gather data requirements.
• Ensure data quality and integrity through data validation and cleansing processes.
• Monitor and troubleshoot data-related issues to ensure data pipeline reliability.
• Stay up to date with industry best practices and emerging technologies in data engineering.

Position: Python Developer

Location: Andheri East, Mumbai

Work Mode: 5 Days WFO

Availability: Immediate joiners only (or notice period completed)

What We're Looking For:

✅ 2+ years of solid Python development experience

✅ Django framework expertise - must have!

✅ FastAPI framework knowledge - essential!

✅ Database skills in MongoDB OR PostgreSQL

✅ Ready to work from office 5 days a week

As a Node.js Developer, you will be responsible for:

Designing, developing, and maintaining server-side applications and systems using Node.js, a JavaScript runtime environment. Your expertise in backend development, JavaScript, TypeScript, and REST APIs will play an essential role in creating efficient and powerful server-side applications.

Responsibilities:

● Design and implement efficient, secure, and maintainable server-side code using Node.js.

● Collaborate with the front-end development team to integrate user-facing elements with server-side logic.

● Develop APIs for seamless data flow between the front-end and back-end.

● Optimize application performance and ensure high availability and scalability.

To succeed in this role – you should have the following:

● Minimum of 3-4 years of experience as a backend developer.

● Must have proven experience as a Back-End Developer, with a focus on Node.js.

● Proficiency in JavaScript, TypeScript, and related frameworks (Express.js, Hapi.js, etc.).

● Experience with RESTful API design principles.

● Experience with agile development methodologies.

● Familiarity with working with at least one of PostgreSQL or MongoDB.

● Familiarity with version control systems (Git)

● Strong communication skills and ability to work collaboratively in a team.

● Strong problem-solving skills and attention to detail.

Added bonus:

● Familiarity with frontend development technologies like HTML and CSS.

● Experience working with Docker, Github Actions, and other common CI/CD pipelines

● Knowledge about AWS components (S3, EC2, Cloudfront, Redis Clusters, etc.)

Education:

Bachelor's degree in Computer Science, Information Technology, or a related field

Job Description:  

As a L3 analyst, you will play a key role within the Application Management team, leading services for its customer(s). This service has responsibility for the smooth daily operational running of the Client platform both in the cloud and on-premises. The Client application is business critical and centrally manages data for trading, settlement, risk, client and regulatory reporting systems. As a L3 analyst, you will be responsible for supporting complex infrastructure and application issues raised by L1/L2 support teams, and business analysts. You would also be working on client requests for enhancements, fixes, maintaining custom code, and following the best practices such as Agile, DevOps, etc.

The role is a technical role requiring a good technical knowledge of SQL/PLSQ, Core Java along with good debugging skill while supporting client implementations. You should have basic understanding on Unix system and commands. The ability to troubleshoot issues, assist users and help write specifications is essential. This position also works with product management to improve the software engineering processes and practices associated with continuously building, deploying, and updating software and environments.

• Accountability and primary responsibility/duties:
• A typical day would look like as follows: -
  • 40% support issues.
  • 40% configuration/development work.
  • 20% continuous improvement, automation, CICD, so on.
• Activities would range across the lifecycle from discovery to post-implementation support.
• Understanding client’s requirement, replicate the problem and providing the solution
• Understanding and developing new requirements coming in from BAs (Business Analysts) and customers.
• Update the existing functionality based on client needs.
• Develop changes that cater to enhancing the product and/or fixing production issues
• Prepare product releases of software components. (Java/SQL-PLSQL)
• Contribute in all phases of the development cycle. (development/Deployment/Testing, peer review)
• Create technical document for all changes made.

Required Qualifications/Knowledge/Skills

• Bachelor’s degree in Computer Science or related field
• Strong basics and working experience in following technologies: -
  • Core Java.
  • SQL / PLSQL coding.
  • Object Oriented Programming concepts and data structures.
• Working knowledge on Unix platform
• Working knowledge on XSLT and XML handling
• Basic understanding App & web server working knowledge (JBOSS, WebLogic and WebSphere) and debugging skills.
• Advantageous to have:
  • Working understanding on CICD, Dev-ops technologies.
  • Queuing technologies including Kafka, MQ, Solace.
  • Scripting including Python, Unix, java.
• Hands on knowledge of Dev ops processes and tools Good interpersonal and communication skills.
  
  

https://www.oziva.in/">OZiva is India's leading clean, plant based nutrition brand, combining modern science and ancient Ayurveda. We aim towards driving the paradigm shift from curative health care to preventive healthcare by focusing on the two fundamental pillars of fitness - nutrition and exercise.

OZiva is a startup founded by IIT, INSEAD and Mumbai University alumni with an existing vision to help people lead a healthier and better lifestyle.

We run a powerful, high impact, fast paced operation with cutting edge technology and good old-fashioned passion for making people healthier and fitter.

• Work with product managers to understand product requirements and make them live.
• Ownership of end to end development

• Startup mindset of getting things done and focussing on business goals
• Proven problem solving skills
• 3+ years Hands on experience in designing and developing applications using server side technology (Java, Spring Boot / Node.js, Express)
• Excellent knowledge of Relational Databases, SQL and ORM technologies
• Good knowledge of design patterns
• Proficiency in REST architecture
• Experience with test-driven development
• Experience with Git/CI/CD/Gradle/Maven
• Inclination towards writing quality and performant code

• Experience in Agile development
• Performance tuning, testing, refactoring and automation
• Experience working with AWS Cloud and Devops technologies (terraform , cloudformation, ansible)
• Experience running a production environment