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

Job position: Analyst programmer 

Location: Mumbai - Andheri East

Salary: 12-13LPA (negotiable)

EXPERIENCE: 3+ years 

Experience in Winforms mandatory

Qualifications:

 Bachelor’s degree in Computer Science, Information Technology, or a related field.

 Proven experience as an Analyst Programmer or similar role.

 Proficiency in programming languages such as C#, Asp.net, Winform etc.

 Strong understanding of software development methodologies (e.g., Agile, Waterfall).

 Experience with database management systems SQL Server.

 Excellent analytical and problem-solving skills.

 Strong communication and interpersonal skills

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.

We have an opening For Dot Net Developer Profile For Thane Location (Mumbai)

Location:- Thane (Mumbai)

Experience: 1yrs

CTC- 1LPA- 6LPA

Company Link:- https://www.kemarautomation.in/

 Job Description:

• Good knowledge of Web api development
• Required Hands on experience in Angular and .net core
• Knowledge of Authentication and authorization
• Hands on entity framework using C#
• Hands on SQL query and LINQ queries
• Angular 2 + working Hands-on knowledge
• Good knowledge of C# and OOP concepts

About Sportz Interactive

Sportz Interactive (SI) works with its clients and partners to revolutionize the sports fan experience across consumption points by creating best-in-class, kickass products. SI was founded in 2002 as a B2B sports content business. Through the years, it gained immense reputation for its state-of-the-art hosted solutions, digital simulators, match centers and fantasy games. Sportz Interactive has a fantastic reputation in the online sports community, having worked with clients across the globe including the likes of The International Cricket Council, STAR Sports, Yahoo!, AOL, Eurosport, Castrol, Web 18, NDTV, Nimbus, Times of India, Rediff.com and Singtel amongst others. 

Sportz Interactive provides in-depth sports information and content and specializes in product development for the web, mobile and other interactive platforms. 
http://www.sportzinteractive.net/">www.sportzinteractive.net 

Designation: Senior Associate

Office Location: Goregaon East, Mumbai

Position description: 3+ years of experience on web technologies.

Primary Responsibilities:

• Actively work on server-side development on the .NET framework
• Browser / client-side development on JavaScript (or its libraries such as JQuery). Work with data structures such as XML and JSON
• Translate application storyboards and use cases into functional applications
• Design, build, and maintain efficient, reusable, and reliable code
• Integrate data storage solutions like Postgres SQL and Redis
• Ensure the best possible performance, quality and responsiveness of applications
• Identify bottlenecks and bugs, and devise solutions to mitigate and address these issues
• Help maintain code quality, organization, and automatization

Required Skills:

Mandatory: Passionate about sports, Problem-solving, Team player, Target & Result oriented.

Functional: C#, OOPS Concepts, Web API, MVC, LinQ, NET Core 2.0, 2.1, 3.0, DI, WCF, Cron Job / Services, Database Development - MS SQL/Oracle DB/PostGreSQL/Redis/Cassandra, Architectural Patterns, Design Principles, OWASP Adherence, Testing Frameworks like NUnit, Nginx, AWS - Cloud Computing, Async Programming.

We're looking for Senior Node js backend developers with over 2+ years of experience and strong expertise in Javascript based development using Node js and Express. We are looking for cadidates who are go-getters and are leaning towards leadership positions. Candidates must have a proven history of building, scaling, optimising and securing Node js based backends and APIs using a microservice architecture.

Bonus Skill : Experience with ReactJs, Postgres

We would prefer candidates who can join immediately or are currently serving their notice period.

Key Skills Required

1. A passion for Javascript based solutions and an extremely strong understanding of JavaScript

2. Proficiency in Node js and Express based development

3. Stong experience in building scalable REST APIs

4. Experience in implenting API security using tokens, encryptions keys and other methods

5. A proved history of building scalable and secure web applications and APIs with Node js using a microservice architecture

6. Working experience with API Gateways

7. Experience with Docker

8. Experience in maintaining code via Git workflows

9. Ability to work independantly or as a part of a team

10. Ability to work in an Agile environment

Responsibilities

1. Understanding requirement and congributing to engineering solutions at a conceptual stage to provide the best possible solution to the task/challenge

2. Building high quality code using coding standards based on the SRS/Documentation

3. Building component based, maintainable, scalable and reusable backend libraries/modules.

4. Building & documenting scalable APIs on the Open Spec standard

5. Unit testing development modules and APIs

6. Conducting code reviews to ensure that the highest quality standard are maintained

7. Securing backend applications and APIs using industry best practices

8. Troubleshooting issues and fixing bugs raised by the QA team efficiently.

9. Optimizing code

10. Building and deploying the applications