SharePoint Consultant

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: Lead I – Python Full Stack Engineer (Python + React)

Location: Hyderabad

Work Model: Hybrid (3 days in office)

Notice Period: 0–15 Days (Immediate joiners preferred)

Job Summary:

We are looking for a Lead Python Full Stack Engineer with 6–7 years of development experience to join our engineering team in Hyderabad. The ideal candidate will have strong hands-on expertise in React UI and Python backend development, with solid experience in modern testing frameworks, CI/CD, and database management.

Key Responsibilities:

• Design, develop, and maintain full-stack applications using React (frontend) and Python (backend).
• Implement reusable UI components and ensure a seamless user experience with React.
• Build and manage backend services using frameworks such as Django, Flask, or FastAPI.
• Develop and maintain unit and end-to-end tests using frameworks like Jest, Mocha, and Cypress.
• Manage state using libraries such as Redux, Zustand, or MobX.
• Configure and maintain CI/CD pipelines for efficient deployment.
• Integrate with relational and non-relational databases such as PostgreSQL, MySQL, or MongoDB.
• Collaborate with cross-functional teams to deliver scalable, maintainable solutions.

Required Skills & Experience:

• 6–7 years of full-stack development experience.
• Strong hands-on expertise in React UI (top priority).
• Proficiency in Python with frameworks like Django, Flask, or FastAPI.
• Expertise in unit testing (Jest, Mocha) and E2E testing (Cypress).
• Experience with Vite or similar build tools.
• Strong understanding of CI/CD pipelines.
• Experience with RESTful APIs, web services, and routing (React Router).
• Solid understanding of PostgreSQL/MySQL/MongoDB databases.
• Strong problem-solving and debugging skills.

Nice to Have:

• Familiarity with Node.js or Express.js for backend development.
• Exposure to front-end technologies such as HTML, CSS, and JavaScript (ES6+).

Understand the Business requirement and design,develop web application with Web API, C#, OOPS  and Entity Framework.

• Design, develop, and unit test applications in accordance with established standards.   
• Preparing reports, manuals and other documentation on the status, operation and maintenance of software.   
• Analyzing and resolving technical and application problems   
• Adhering to high-quality development principles while delivering solutions on-time and on-budget   
• Providing third-level support to business users.   
• Compliance of process and quality management standards   
• Understanding and implementation of SDLC process   

• 2+ years of experience in Web API, C#.Net, OOPS and Entity framework
• Minimum 1+ years of experience on Web Application development HTML, CSS, JavaScript/JQuery, Entity framework and Linq Queries
• Must have a good exposure on query writing and DB management for writing stored procedures/ user-defined functions

Secondary Skills

• Experience in analysing existing code and debugging.
• Should have a solid understanding of the SDLC processes (Design, Construction, Testing, Deployment)
• Proven experience of delivering on-time and with quality
• Should have good unit testing skills to review his own development and identify all the defects and get it fixed before releasing the code
• Should have experience in developing ERP applications or Database Intensive Data Entry applications.
• Been on a same role for a period of 2 years or more
• Hands on experience of configuration management and version maintenance
• Full stack developers with experience in Developing products with Angular and C# APIs, from ground-up will be a plus.

What You’ll Do:

• Enable and exercise your problem solving and analytical skills.
• Design and develop Java/J2EE based full stack software components including complex modeling, MVC based UI, etc.
• Ensure applications are implemented to meet business and technical requirements.
• Work with high performing engineering teams across global locations.

.What You Need to Be Successful:

• Bachelor’s degree in Computer Science or equivalent.
• Solid 5-10 years hands-on design and coding experience.
• Familiarity with Agile development, JSF/Primefaces, JPA/Hibernate, Spring, ActiveMQ.
• Strong object-oriented design, Java/J2EE and MVC architecture based programming skills.
• Solid relational DBMS skills using MySQL, or other RDBMS products.
• Desirable - Experience in Big Data Technologies (Hadoop, ElasticSearch, Kafka, MongoDB, etc.)
• Nice to have - Real-world experience in large scale, and high availability implementations.
• Experience developing web services using REST and SOAP approaches.

• Good experience on RESTful services
• .Hands on experience on NodeJs
• .Should have previous working experience on Sql and Postgresql  
•  Must have relevant experience in NodeJS from 3-5years.