2+ High-level design Jobs in Mumbai | High-level design Job openings in Mumbai

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.

Greetings from Amazon...!                                       

It is our pleasure in personally inviting you to apply job with Amazon Development Centre India (ADCI). At Amazon we are inclined to hire people with passion for technology and you happened to be one of the shortlisted candidates. Our business is committed to recognizing potential and creating teams that embrace innovation.

Please find the Eligible criteria and requirements:

Job title                             :             SDE – II (Software Development Engineer)
Role Opportunity            :             Permanent/Full Time/FTE/Regular

Work Location                 :             Hyderabad/Bangalore/ Gurgaon

Must Have

• Strong Exposure to Data Structures, Algorithms, Coding, System Design (LLD, HLD, OOAD), Distributed systems, problem solving skills, Architecture (MVC/Microservices), logical thinking.

Amazon (ADCI) - If you are looking for an opportunity to solve deep technical problems and build innovative solutions in a fast paced environment working with smart, passionate software developers, this might be the role for you. Amazon’s transportation systems get millions of packages to customers worldwide faster and cheaper while providing world class customer experience – from checkout to shipment tracking to delivery. Our software systems include services that handle thousands or requests per second, make business decisions impacting billions of dollars a year, integrate with a network of small and large carriers worldwide, manage business rules for millions of unique products, and improve experience for millions of online shoppers. With rapid expansion into new geographies, innovations in supply chain, delivery models and customer experience, increasingly complex transportation network, ever expanding selection of products and growing number of shipments worldwide, we have an opportunity to build software that scales the business, leads the industry through innovation and delights millions of customers worldwide.

As an SDE, you will develop a deep understanding of our business, work closely with development teams and own the architecture and end-to-end delivery of software components.

About Amazon India:

Amazon teams in India work on complex business challenges to innovate and create efficient solutions that enable various Amazon businesses, including Amazon websites across the world as well as support Payments, Transportation, and Digital products and services like the Kindle family of tablets, e-readers and the store. We are proud to have some of the finest talent and strong leaders with proven experience working to make Amazon the Earth’s most customer-centric company.

We made our foray into the Indian market with the launch of Junglee.com, enabling retailers in India to advertise their products to millions of Indian shoppers and drive targeted traffic to their stores. In June 2013, we launched http://www.amazon.in">www.amazon.in for shoppers in India. With http://www.amazon.in">www.amazon.in, we endeavor to give customers more of what they want – low prices, vast selection, fast and reliable delivery, and a trusted and convenient online shopping experience. In just over a year of launching our India operations, we have expanded our offering to over 18 million products across 36 departments and 100s of categories! Our philosophy of working backwards from the customers is what drives our growth and success.

We will continue to strive to become a trusted and meaningful sales and logistics channel for retailers of all sizes across India and a fast, reliable and convenient online shopping destination for consumers. For us, it is always “Day 1” and we are committed to aggressively invest over the long-term and relentlessly focus on raising the bar for customer experience in India. Amazon India offers opportunities where you can dive right in, work with smart people on challenging problems and make an impact that contributes to the lives of millions. Join us so you can - Work Hard, Have Fun and Make History.

Basic Qualifications:

• 3+ years’ experience building successful production software systems
• A solid grounding in Computer Science fundamentals (based on a BS or MS in CS or related field)
• The ability to take convert raw requirements into good design while exploring technical feasibility tradeoffs
• Expertise in System design (design patterns, LLD, HLD, Solid principle, OOAD, Distributed systems etc..), Architecture (MVC/Micro services).
• Good understanding of at least some of the modern programming languages (Java) and open-source technologies (C++, Python, Scala, C#, PHP, Ruby etc..)
• Excellence in technical communication
• Has experience in mentoring other software developers

Preferred Qualifications:

• BS/MS in Computer Science or equivalent
• Experience developing service oriented architectures and an understanding of design for scalability, performance and reliability
• Demonstrated ability to mentor other software developers to maintain architectural vision and software quality
• Demonstrated ability to achieve stretch goals in a highly innovative and fast paced environment
• Expertise in delivering high-quality, innovative application
• Strong desire to build, sense of ownership, urgency, and drive
• Strong organizational and problem solving skills with great attention to detail
• Ability to triage issues, react well to changes, work with teams and ability to multi-task on multiple products and projects.
• Experience building highly scalable, high availability services
• The ideal candidate will be a visionary leader, builder and operator.
• He/she should have experience leading or contributing to multiple simultaneous product development efforts and initiatives.
• He/she needs to balance technical leadership with strong business judgment to make the right decisions about technology choices.
• He/she needs to be constantly striving for simplicity, and at the same time demonstrate significant creativity, innovation and judgment
• Proficiency in, at least, one modern programming language.
• Experience in SQL or Non-SQL database.
• Strong sense of ownership, urgency, and drive.
• Demonstrated leadership abilities in an engineering environment in driving operational excellence and best practices.
• Demonstrated ability to achieve stretch goals in a highly innovative and fast paced environment.
• Excellent communication, collaboration, reporting, analytical and problem solving skills.

Good to Have:

• Knowledge of professional software engineering practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Experience with enterprise-wide systems
• Experience influencing software engineers best practices within your team
• Hands-on expertise in many disparate technologies, typically ranging from front-end user interfaces through to back-end systems and all points in between
• Strong written and verbal communication skills preferred

Key Points to remember:

• Strong knowledge of the Software Development Life Cycle methodology
• Technical design, development and implementation decisions on the use of technology in area(s) of specialization.
• Write or modify programming code to suit customer's needs.
• Unit test to assure meets requirements, including integration test as needed.
• Ability to understand and analyze issues and uses judgment to make decisions.
• Strong problem solving & troubleshooting skills
• Strong communication skills
• Responsible for self-development according to professional development plan