Lead Data Engineer

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.

Responsibilities:

• Conduct associate-level recruitment activities.
• Utilize job portals, LinkedIn, and Applicant Tracking Systems effectively.
• Coordinate with different departments to facilitate HR-related processes.
• Participate in HR projects, initiatives, and process improvements as assigned.
• Draft business emails and documents proficiently as required.
• Coordinate end-to-end activities with various vendors.
• Ensure sufficient and timely arrangement of assets.
• Support employee engagement initiatives and events.
• Stay updated with industry best practices and trends and make recommendations for process enhancements.
• Contribute to a positive and collaborative work environment within the people team and across the organization.

Competencies:

• Excellent attention to detail and organizational skills.
• Strong interpersonal and communication skills at all levels of the organization.
• Solid understanding of HR processes and best practices.
• Proficient in using G Suite (Sheets, Docs, Slides) and MS Office Suite (Word, Excel, PowerPoint).
• Ability to handle sensitive and confidential information with integrity and discretion.
• Strong communication skills, both verbal and written.
• Ability to prioritize tasks and work efficiently in a fast-paced environment

MERN Stack Devolper:-

Job Description: -**

Full Stack Developer will work closely with cross-team to discover effective and elegant solutions to complex problems.

Excellent knowledge of HTML, CSS, Material-UI and Responsive.

Strong concepts of Javascript, ReactJs, NextJS.

Should have Excellent Experience of Node.js.

In-Depth knowledge of Express Js, JavaScript,

Should have experience in MongoDB, GraphQL, and any graph Database

Experience working with REST APIs.

Good Knowledge of AWS – Beanstalk, EC2, S3, Lambda, Cloud Watch.

Good Knowledge of JSON, API, and JWT.

Good Knowledge of Firebase – Authentication, Firestore, Realtime DB, Hosting.

·Good understanding of/experience with CI tools (Jenkins, Github Actions) and testing frameworks

Good to have Agile Continuous Deployment experience.

Ability and willingness to manage multiple projects/tasks.

Great collaborator who takes initiative, asks questions, explains themselves clearly, and are open to feedback

Ability to Identify and fix production and non-production application issues as a part of the deployment.

Should have completed B. Tech and 2+ years of experience in IT department

Understanding accessibility and security compliance (Depending on the specific project)

User authentication and authorization between multiple systems, servers, and environments.

Integration of multiple data sources and databases into one system

Understanding fundamental design principles behind a scalable application.

Good communication and language skills.

Strong focus on performance optimizations, caching, and scalability.

Ability to deal well with ambiguous/undefined problems; ability to think abstractly.

No salary bar for a good candidate

Talent Acquisition Specialist 

Company: IgniteAndRise 

Website: www.IgniteAndRise.in

Job Title: Talent Acquisition Specialist

Employment Type: Full-Time/Part-Time | Remote 

Work Location: Remote (Work-from-home) 

About Us:

IgniteAndRise is a leading HR solutions provider, specializing in both B2B and B2B2C models. Our mission is to connect top talent with the right career opportunities while offering comprehensive HR services to businesses. From startups to established corporations, we drive growth through recruitment, HR management, policy formulation, and strategic HR consulting.

Job Summary:

We are looking for a proactive and resourceful Talent Acquisition Specialist to join our dynamic team. In this role, you'll be responsible for sourcing, identifying, and recruiting top-tier candidates to meet the diverse hiring needs of our clients. If you are passionate about talent acquisition and thrive in a fast-paced environment, this opportunity is for you!

Key Responsibilities:

Commitment: Dedicate a minimum of 6 months to contribute to IgniteAndRise's growth.

Recruitment: Source, screen, and recruit candidates across sectors, with a focus on sales and technical roles.

Candidate Management: Manage the entire recruitment process from first contact to final placement, ensuring a seamless candidate experience.

Strategic Planning: Develop and execute innovative sourcing strategies beyond job portals to attract top talent.

Client Collaboration: Work closely with clients to understand their hiring needs and provide tailored recruitment solutions.

Process Improvement: Continuously assess and improve recruitment processes to ensure efficiency and high-quality placements.

Required Skills and Experience:

Experience: Minimum 2 years of experience in Recruitment.

Communication: Excellent verbal and written communication skills.

Technical Skills: Proficiency with recruitment software and applicant tracking systems (ATS).

Organization: Strong organizational and time-management skills.

Collaboration: Ability to work independently as well as in a team environment.

Networking: Proven ability to build and maintain professional relationships.

Adaptability: Thrive in a fast-paced and evolving work environment.

What We Offer:

Flexible Work Hours: Full-time and part-time options with remote work. 

Compensation: During a 6-month probationary period, a base salary of ₹10,000/month (₹60,000 paid at the end of the contract) plus ₹30,000 for every successful placement.

Post-Probation Benefits: After 6 months, you'll transition to a Fixed CTC salary with a guaranteed 10% hike and potential performance-based hikes of up to 30%.

Training & Growth: Access to training resources, a collaborative culture, and opportunities for career growth.

Payment Timelines: All payments are processed within 45 to 75 days after successful candidate placement.

How to Apply:

We are looking for immediate joiners and serious candidates who are ready to contribute to our growth. If you meet the requirements.

About Monarch: 

At Monarch, we’re leading the digital transformation of farming. Monarch Tractor augments both muscle and mind with fully loaded hardware, software, and service machinery that will spur future generations of farming technologies. 

With our farmer-first mentality, we are building a smart tractor that will enhance (not replace) the existing farm ecosystem, alleviate labor availability, and cost issues, and provide an avenue for competitive organic and beyond farming by providing mechanical solutions to replace harmful chemical solutions. Despite all the cutting-edge technology we will incorporate, our tractor will still plow, till, and haul better than any other tractor in its class. We have all the necessary ingredients to develop, build and scale the Monarch Tractor and digitally transform farming around the world. 

Job Description  

DevOps: 

• Implementing various development, testing and automation tools 
• Setting up tools and required infrastructure 
• Configuration and managing databases such as MySQL 
• Defining and setting development, test, release, update, and support processes for DevOps operation 
• Identify sources of manual work related to new features from inception to CI/CD pipeline and automate as much as possible. 
• Monitoring the processes during the entire lifecycle for its adherence as well as updating or creating new processes for improvement and minimizing the wastage 

Security: 

• Identifying and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management 
• Incidence management and root cause analysis 
• Disaster Recovery  

General: 

• Coordination and communication within the team and with customers 

• Thrive in a fast-paced environment and have the ability to own the project end to end with minimum hand holding.   

Required: 

• Bachelor’s degree / Masters in Engineering (ECE or CSE preferred)   
• A minimum work experience of 5 years in the relevant field on Linux based infrastructure 
• Work Experience with AWS: (EC2, RDS, ELB, EBD, S3, VPC, Glacier, IAM, CloudWatch, KMS and Cognito) 
• Security suit implementation experience 
• Bash and Python scripting 
• Work experience in setting up VPN and VNC accounts 
• CI/CD tools: Jenkins, GitLab CI/CD, and Spinnaker 
• Automation Tools: Ansible, Docker, Kubernetes 
• Version Control: Git / GitHub 
• Knowledge of AWS IoT Core is a plus  

What you will get: 

At Monarch Tractor, you’ll play a key role on a capable, dedicated, high-performing team of rock stars. Our compensation package includes a competitive salary, excellent health, dental and vision benefits, and company equity commensurate with the role you’ll play in our success.  

Key Responsibilities:

• You will be acting as part of a team to develop software solutions using Scrum methodology in 2-week sprints.
• Turn user stories, feature requests and defect reports into quality software changes for our customers.
• Develop software solutions by conferring with product owners, understanding system behavior, and proposing solutions while following the software development lifecycle.
• Design, develop, modify, implement, and support software components anywhere in the software stack.
• Determine root cause for the most complex software issues and develop practical, efficient, and permanent technical solutions.
• Remain current on new technologies and available vendor packages. Evaluate and make recommendations as necessary.
• Participate in Scrum development process and work towards continually improving the process.
• Determine process improvements, best practices, and develop new processes.
• Work in close partnership with cross-functional teams and management.

Ideal Experience:

• Extensive experience in design, development and testing of web-based enterprise systems using .NET technologies.
• Experience with Azure Cloud technologies and SaaS product development.
• Excellent communication skills both written and verbal
• A desire to solve complex problems with elegant solutions
• The ability to work well with a team of motivated, smart people

What you need to have:

• Should have strong experience in working Configuration Management area, with tools preferably, TFSVC, TFS vNext OR GIT, SVN, Jenkins
• Strong working experience in tools related to Application Lifecycle Management, like Microsoft TFS
• Should have hands-on working experience in CICD (Continuous Integration Continuous Deployment) practices
• Strong be expertise in handling software builds & release mgmt. activities in Dotnet based environment / Java environment
• Strong skills in Perl or PowerShell or in any other scripting/automation/programming language
• Should have exposure to various build environments like dotNet, Java
• Should have experience with writing build scripts, automation of daily/nightly builds & deployment
• Good knowledge in Merging /Branching concepts.
• Good understanding of product life cycle management"
• Shall be very good technically; possess systems mindset and good problem-solving abilities
• Working with multisite teams, Quality conscious and Process & customer Oriented
• Self-starter and quick learner and ability to work with minimal supervision
• Can play a key role in the team
• Strong team player with a “can-do” attitude
• Ability to handle conflicts
• Ability to stay focused on the target in an ambiguous situation
• Good communication and documentation skills"