Finance Executive

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.

Location: Goregaon East, Mumbai

Industry: EdTech / Education

Experience Required: Minimum 1 year

Work Details

• Working Days: Monday to Saturday
• Working Hours: 11:30 AM – 8:30 PM

About the Role

We are looking for a dynamic and result-driven Learning Consultant with a strong background in counseling and sales within the EdTech industry. The ideal candidate should be confident in engaging with prospects, understanding their needs, and effectively closing deals.

Key Responsibilities

• Counsel prospective students and guide them in choosing the right courses
• Drive end-to-end sales, from lead engagement to deal closure
• Promote and sell courses in:
• Travel & Tourism
• Makeup
• Podcasting
• Build strong relationships with potential learners
• Meet and exceed sales targets consistently

Candidate Requirements

• Minimum 1 year of experience in the EdTech/Education industry
• Proven experience in counseling and closing sales deals (mandatory)
• Excellent communication and interpersonal skills
• Strong persuasion and negotiation abilities
• Candidates from EdTech background must apply

Eligibility Criteria

• Age Limit: Up to 35 years (36+ will not be considered)

Job Description:

- Experience with Java 4 to 8 years, Spring Boot, Microservices, Angular, Docker, and Kubernetes

Knowledge of multi-threading concepts, TCPIP, databases, and REST-based JSON APIs

- Experience with build and deployment tools: Maven, Git, JUnit

- Experience building and working with DevOps Toolchains (Github actions, Jenkins)

Experience with responsive UI development

Demonstrates great communication skills and initiative to solve problems and convey solutions to peers and product owners.

Experience with the scrum process

Experience with event-driven architecture.

Knowledge of UI testing and continuous integration

Working knowledge of TDD TDD mindset

- Pair Programming experience

Functional knowledge of the Accounts Payable domain is an added advantage.

Content Writer's responsibilities include conducting thorough research on industry-related topics, generating ideas for new content types, and proofreading articles before publication.

Ultimately, you’ll deliver quality writing pieces that appeal to our audiences, attract customers and boost brand awareness.

Responsibilities

• Research industry-related topics
• Write clear marketing copy to promote our products/services
• Proofread and edit blog posts before publication
• Submit work to the team for input and approval
• Conduct simple keyword research and use SEO guidelines to increase web traffic
• Promote content on social media
• Identify customers’ needs and gaps in our content and recommend new topics
• Ensure all-around consistency (style, fonts, images, and tone)
• Update website content as needed

Designation - Nodejs Developer 

Salary - 15-35k (Negotiable)

Experience - 2-5 years

Location - Indore (Remote work also available for full time)

Positions- 4

Must have good communication skills

Immediate joiners required

Job Description-

• Integration of user-facing elements developed by front-end developers with server-side logic
• Writing reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Implementation of security and data protection
• Integration of data storage solutions 

Skills and Qualification:

• Strong proficiency with JavaScript 
• Must have 2 years of working experience in MongoDB database
• Knowledge of Node.js and frameworks available for it Understanding the nature of asynchronous programming and its quirks and workarounds
• Good understanding of server-side CSS preprocess
• Basic understanding of front-end technologies, such as HTML5, and CSS3
• Understanding accessibility and security compliance 
• 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
• Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimizing output to match the specific platform
• Creating database schemas that represent and support business processes
• Implementing automated testing platforms and unit tests
• Proficient understanding of code versioning tools, such as Git

Job Responsibilities –

All activities related to CICS Systems Programming on IBM Mainframes running a large scale IT system

Installation and maintenance, debugging, performance and tuning, assisting applications programmers, support of a large variety of CICS sub product and related applications, and disaster recovery.

This may include working with other workgroups i.e. MQ Series, DB2, z/OS, Capacity and Performance Management and so Problem determination and resolution within expected time frame

Resolve problems in most effective way possible within SLA reaching root cause and preventing problems

Follow Change Management process to effectively manage environment changes

Support 24*7 on call support on rotation basis

Tracking and analysing performance and resource utilization of CICS systems

Recommend changes, upgrades, and enhancements based on the technical analysis

Develop and maintain technical documentation and knowledge bases

Upskill junior systems programmers

Required Skillsets –

Minimum 5+ years’ experience with CICS system Programming and administration

Strong knowledge of CICS, CICSplex and SMP/E

Good experience with Mainframe MQ administration

Experience working with: JCL, IPCS, diagnostic tools such as Omegamon or other equivalent tools

Skilled at troubleshooting problems in a CICS environment

Programming skills - COBOL,PL/1, C, REXX, Assembler

Proficient in working with high availability environment along with alignment to process (ITIL)

Ambitious individual who can work under own direction towards agreed targets/goals and with creative approach to work

Good interpersonal skills and team player

Added Advantage –

Experience with large complex environments running critical and 24*7 applications

Experiencewith aspects of MQ administration and operations

Proficiency with Assembler programming

• Experience in React Native, Redux, CodePlus

• Need to have design/UI component knowledge on both Android/iOS platform.

• Capable of deploying the mobile app on both Android / iOS platform.

• Excellent knowledge in the integration of the NPM module within the environment.

• Good knowledge of data structure and algorithms

• Need to have experience in working with RestFul API service.

• Must have experience on version control SVN /GIT