Senior 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.

Hi Shanon, As discussed we have one open req for AI role. The right skill set I am looking for is experience with RAG pipelines, Performance monitoring of prompts and tuning. Multi model RAG and agentic AI soon but not night away. Needless to say Python and the NLP lib experience is a must. Database knowledge is also essential. The developer needs to be in Morgan Stanley offices 3 days per week. BLR location is preferred, if not Mumbai is also fine. The duration is long term since we are looking to expand the use cases Please let me know if you have any questions. 

JOB DETAILS:

Job Role: AM– People Operations (HR)

Industry: FMCG

Function: Human Resources

Work Mode: ONSITE

Working Day: 5

Salary: Best in Industry

Experience: 3-4 years

Location: Gurgaon

Required Skills: Offline Sales Talent Acquisition (GT/MT), Bulk & Lateral Hiring Execution, Startup Hiring Agility, Stakeholder & Candidate Management, HR Operations & Compliance Support

Criteria:

• Female candidates only
• Immediate joiners only
• Gurgaon-based candidates only
• Willingness to work from office (Udyog Vihar, Phase 3)
• 3 to 4 years of non-IT recruitment experience.
• Mandatory hands-on experience in Offline Sales hiring for FMCG brands (GT / MT)
• Proven experience in bulk and lateral hiring for field sales roles (ASM, SO, Promoters, Supervisors)
• Startup experience mandatory (fast-paced, high-growth environment)
• Strong capability in end-to-end talent acquisition (sourcing to onboarding)
• Experience with job portals, field hiring, referrals, and vendor coordination
• Ability to manage aggressive hiring targets, quick closures, and low TAT
• Basic exposure to HR Operations (onboarding, documentation, HRMS, attendance, compliance)

Description

Role Overview

We are looking for a hands-on Assistant Manager – People Operations with strong experience in non-IT hiring, especially Offline Sales hiring for FMCG brands (GT/MT). This role is 80% Talent Acquisition and 20% HR Operations, ideal for someone who thrives in a fast-paced startup environment, can take ownership, and make quick, practical decisions.

Key Responsibilities

🔹 Talent Acquisition (80%)

● End-to-end hiring for Offline Sales roles including:

○ General Trade (GT)

○ Modern Trade (MT)

○ Field Sales, ASM, SO, Promoters, Supervisors, etc.

● Handle bulk and lateral hiring across levels for FMCG sales teams

● Source candidates through:

○ Job portals (Naukri, Indeed, etc.)

○ Field hiring, referrals, vendor coordination

● Screen profiles, conduct initial interviews, and coordinate with business stakeholders

● Ensure quick closures, high offer-to-joining ratio, and minimal TAT

● Maintain hiring trackers, MIS, and recruitment dashboards

● Strong follow-ups with candidates to ensure smooth onboarding

🔹 HR Operations (20%)

● Support onboarding and joining formalities

● Coordinate documentation, employee records, and HRMS updates

● Assist in attendance, leave, and basic employee lifecycle processes

● Act as a point of contact for employees on day-to-day HR queries

● Ensure HR compliance and process adherence

Required Skills & Experience

● 3 to 4 years of relevant experience in non-IT hiring

● Mandatory experience in Offline Sales hiring for FMCG brands (GT/MT)

● Startup experience is mandatory (high-growth, fast-changing environment)

● Strong understanding of sales hiring challenges and ground realities

● Ability to work under pressure and manage aggressive hiring targets

● Excellent decision-making and stakeholder management skills

● Quick learner with a proactive and ownership-driven mindset

● Strong communication and follow-up skills

Candidate Criteria (Mandatory)

● Female candidates only

● Immediate joiners

● Gurgaon-based candidates only

● Willing to work from office (Udyog Vihar, Phase 3)

Why Join Us?

● Opportunity to work closely with the HR Head

● High ownership and visibility in a growing FMCG startup

● Fast learning curve and exposure to core business hiring

● Dynamic, execution-focused work culture

Client Details

Our Client:

is a Proprietary concern dealing in distribution of Milk & Milk Products under Multi brand having ISO certificate. The firm initiated its operations in 2019 and is providing quality and efficient service to various corporate clients majorly located at Mumbai, Thane, Lonavala, Pune, Nagpur, Chennai and Bengaluru. DGS has been awarded as ‘Best Vendor’ by Compass Group. The company is presently supplying Milk & Milk products under the Brand of ‘Amul’, ‘Gowardhan’, ‘Warana’, ‘Akshara’, ‘Govind’, ‘Heritage’.

Our product range includes fresh milk, curd, paneer, flavored milk, cream, butter, cheese, and other dairy products, sourced from the best farms and dairies in the region. We work closely with our suppliers to ensure that the products we distribute meet the highest standards of quality, freshness, and safety.

Job Profile

BCom Graduate with 3-7 years of experience in Accounts and Finance

Job opportunity in B2B Multi brand dairy products (Milk and Milk Products) startup company to large corporates, hospitals & large retail chains, 3-5 star Hotels for following role- 

Designation - Senior Manager 

Job Profile - 

1. Accounting, Taxation and MIS

2. Lead 2-3 team members

Responsibilities:

1. Daily and monthly MIS

2. Manage all accounting transactions (Purchase, Sale, Bank Reconciliation, Journal Vouchers etc.)

3. Prepare financial statements

4. Handle monthly, quarterly and annual closings

5. Reconcile accounts payable and receivable

6. Ensure timely bank payments to vendors 

7. Ensure timely bank receipts from customers

8. GST and TDS payments and monthly, quarterly and annual returns

9. ⁠PF, PT compliance 

10. Accounts basic concepts and fundamentals

11. Taxation - GSTR1 and 3B filling knowledge ( Reco with 2B) 

12. VLOOKUP and Pivot handy knowledge

13. Bank reconciliation (Invoice to invoice reco) 

14. Ledgers (Creditors / Debtors) reconciliation

Requirement-

1. Proficient in MS Excel

2. Tally Prime (Tally TDL knowledge candidate will have additional advantage)

Industry - FMCG (Dairy Products)

Working Days

6 working days

Working Timings

10-7pm

Location - Vashi, Navi Mumbai

Interested candidates are requested to email their resumes with the subject line "Application for [Job Title]".

Only applications received via email will be reviewed. Applications through other channels will not be considered.

Overview

Adesso India specialises in optimization of core business processes for organizations. Our focus is on providing state-of-the-art solutions that streamline operations and elevate productivity to new heights.

Comprised of a team of industry experts and experienced technology professionals, we ensure that our software development and implementations are reliable, robust, and seamlessly integrated with the latest technologies. By leveraging our extensive knowledge and skills, we empower businesses to achieve their objectives efficiently and effectively.

Job description

As part of our dynamic international cross-functional team you will be responsible for the design, development and deployment of modern high quality software solutions and applications as an experienced and skilled Full-stack developer.

Responsibilities:

Design, develop, and maintain the application 

Write clean, efficient, and reusable code

Implement new features and functionality based on business requirements

Participate in system and application architecture discussions

Create technical designs and specifications for new features or enhancements

Write and execute unit tests to ensure code quality

Debug and resolve technical issues and software defects

Conduct code reviews to ensure adherence to best practices

Identify and fix vulnerabilities to ensure application integrity

Working with other developers to ensure seamless integration backend and frontend elements 

Collaborating with DevOps teams for deployment and scaling

Requirements:

Bachelor’s degree in computer science or information technology, or a related field.

Proven experience as a skilled Full-stack developer. Experience in Utilities / Energy domain is appreciated.

Strong experience with Java (Springboot), AWS / Azure or GCP, GitLab and Angular and / or React. Additional technologies like Python, Go, Kotlin, Rust or similar are welcome

Excellent problem-solving and debugging skills. 

Strong communication and collaboration abilities to work effectively in a team environment.

Skills & Requirements

Java, Spring Boot, AWS, Azure, GCP, GitLab, Angular, React, Python, Go, Kotlin, Rust, Full-stack development, Software architecture, Unit testing, Debugging, Code reviews, DevOps collaboration, Microservices, Cloud computing, RESTful APIs, Frontend-backend integration, Problem-solving, Communication, Team collaboration, Software deployment, Application security, Technical documentation.

• The ability to write and think creatively
• Significant experience in writing strong, accurate copy that is grammatically correct
• A flexible approach and willingness to adapt ideas as per clients requirement
• The ability to work to strict deadlines without compromising on work quality
• Great organizational skills
• An eye for detail
• Strong research skills