C++ Developer

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.

As a Senior Software Engineer, you need to have:
● Advanced knowledge of PHP, Nodejs, MySQL, HTML/CSS, Javascript etc.
● Some experience in managing engineering teams of 5-20 people.

Work Details:
● Your work will involve managing software development team via web and mobile
technologies like PHP/Laravel, MySQL, Node.js, MongoDB, React, Angular, Ionic, AWS
etc.
● Lead, Coach and mentor a strong and passionate team of web and mobile Engineers and Designers
● Drive new features and improve performance
● Define or Review architectural standards and processes
● Drive performance analysis and optimization efforts
● Help set and fulfil the engineering hiring plan for the team including sourcing, screening
and interviewing
● Represent the team in engineering and product meetings
● Work with teams across Squareboat to ensure a seamless user experience for our
client's customers
● Champion continuous improvement to help raise the bar on quality, performance and
maintainability
● Keep abreast of the changes in the industry and champion new technologies and
development processes within the team

You need to have:
● 5+ years of relevant software development experience
● Bachelor’s or Master's degree in Computer Science, Computer Engineering or a related
technical discipline
● A good understanding of the software development lifecycle
● Some interesting side projects you have done or a Github profile with real open source
contributions will be a big plus

Benefits:
● Working with the latest web technologies in an early-stage product startup, with plenty of
opportunities to learn
● You will work directly under the mentorship of other senior designers/developers and the
startup's founders

Skills:
● PHP, Javascript, MySQL, AngularJS, React.js

About Root Node

We’re an early-stage startup building intelligent tools for planning, scheduling, and optimization—starting with timetabling and warehouse logistics. Backed by deep domain expertise and a growing customer pipeline, we’re now building our core tech team. This is not just a coding job — it's a chance to build something meaningful from the ground up.

About the job

• Design and implement robust backend systems and APIs using Java or similar backend language and Spring Boot or equivalent frameworks
• Integrate backend services with existing custom ERP systems 
• Work closely with the founder on product architecture, feature prioritization, and go-to-market feedback
• Take full ownership of features — from system design and development to deployment and iterative improvements
• Help shape our engineering culture and technical foundations

You're a Great Fit If You:

• Have 3+ years of experience in backend development
• Are strong in Java or similar languages (e.g., Kotlin, Go, Node.js)
• Have solid experience with Spring Boot or equivalent backend frameworks
• Have integrated with ERP or enterprise systems in production environments
• Are comfortable with both SQL (PostgreSQL) and NoSQL (MongoDB)
• Understand REST API development, authentication, Docker
• Have an entrepreneurial mindset — you're excited about ownership, ambiguity, and making decisions that shape the product and company
• Want more than just a job — you want to build, solve, and learn rapidly

What We Offer

• Competitive salary
• High degree of ownership and autonomy
• Ability to shape the tech and product direction from Day 1
• Transparent and fast decision-making culture
• A builder’s environment — solve real-world problems with real impact

You will be building efficient, scalable & high performance microservices and applications which will power the network of thousands of retailers across the country and at the same time improve the efficiency and visibility of information flow in our supply chain systems.

Your core responsibilities:

• Create elegant, efficient and maintainable software to support and extend our current products.
• Solve complex architectural challenges when implementing new features.
• Integrate with databases, file systems, cloud services when delivering scalable solutions.
• Troubleshoot and fix reported customer issues, delivering software patches as needed.
• Assisting in making design decisions based on performance, scalability, security, and future expansion.
• Communicating and collaborating with management, product, QA teams.

What will help you thrive in this role?

• Degree in Computer Science, similar technical field of study or equivalent practical experience.
• 5+ years of experience as a Backend Engineer.
• Proficiency in web development using any of the languages: PHP, Python, Java, NodeJS or Golang.
• Should possess a solid grasp of object-oriented programming, system architecture & design, databases, development, and testing methodologies.
• Good in Design (HLD and LLD).
• Good in Database schema design.
• Good to have experience with AWS or Google Cloud or Azure and serverless architecture.
• Excellent verbal communication skills.
• Track record of delivering successful products as an engineer.
• Experience with large applications of some scale will be a plus.
• Ability to deep dive, understand & improve the legacy code.
• Domain knowledge of supply chain & retail industry is a plus.

Whom you will be sharing your work day with? 

• We are in the forefront of disrupting traditional retail & supply chain industry by building distributed systems
• We are hardcore open source lovers and believe in the strength of open source community.
• We believe technology can change the way information is consumed.
• We use a data driven approach to build new products and features.
• Build new tech solutions to improve business processes and enable our various departments to help service our teams better.
• We embrace and enable DevOps culture within the organisation.

And yes! We do have new furry friends coming to our office everyday.

Work Perks

• Hybrid work environment with flexibility to work from anywhere. 
• A great salary, commensurate with experience.
• Unlimited vacation policy which means Paid Vacations.
• A relaxed & flexible working atmosphere.
• Weekly parties (Unofficial).
• Paid outings to remote work locations and industry events/conferences.
• Paid Health Insurance for you and your loved ones.