- Analyze highly complex business requirements;
- generate technical specifications to design or redesign complex software components and applications;
- Acts as an expert technical resource for modeling, simulation and analysis efforts;
- Adapt to change quickly and adjust work accordingly in a positive manner;
- Be flexible and thrive in an evolving environment;
- Individual contributor to build the application for e-commerce platform;
- Assures quality, security and compliance requirements are met for supported areas;
- Working in cloud data stores to include S3, DynamoDB and/or Amazon RDS;
- Perform test automation in a test-driven development environment;
- Implement DevOps concepts, tools and continuous delivery pipelines - Bamboo, Jenkins, Maven, Bitbucket, Jira, etc;
- Implement instrumentation to gather business-specific metrics around consumer usage patterns;

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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.
We are a digital transformation boutique with an elite group of software scientists. Our passion is to develop highly modular systems that scale seamlessly. We develop enterprise solutions involving data engineering, system integration, enterprise search & and analytics. Our clients like us for getting to the crux of the business problems and coming up with futuristic solution approaches with our design thinking.
Job description
Brevitaz Systems is looking for Java developers with deep knowledge of the Java ecosystem. We are looking for self-motivated engineers who are excited about building high-quality and high-performance software backends.
Here is what you will be doing on your journey with us.
What we offer
- Open, positive, and learning culture surrounded by helpful colleagues with a growth mindset
- Work with client teams consisting of decades of experience in various technologies & domains
- Best-in-industry salary standards
- 5 days work week
- Family health insurance cover
- No-politics and values-driven culture
- Occasional WorkFromHome even in non-COVID19 times
- Contribute to large-scale products used by Fortune 100 companies
- Opportunity to work on highly distributed systems
Must have
- Proactive and inherent nature of working with ownership
- Ability to understand and explain requirements clearly, and ask necessary questions to remove any ambiguity
- Strong core Java & OOP fundamentals
- Excellent communication skills
- Experience with complex SQLs and stored procedures (MySQL/Postgres/Oracle)
- Experience in taking decisions on high-level designs in distributed cloud backend systems
- Experience in working with one of the web frameworks (SpringBoot/Struts2)
- Experience in working with one ORM technology (JPA/Hibernate)
- Debugging & troubleshooting skills
- Ability to coach & mentor colleagues effectively
Roles and Responsibilities
- Actively participate in client calls for requirement grooming and designing
- Participate in design discussions with fellow team members and client
- Present groomed tickets and designs to team members for design discussion
- Performance optimization of existing use cases by understanding code, architecture, database design, and stored procedures
- Developing Java code, SQL, and stored procedures for new features and enhancements
- Ensure best practices of code reviews and defect-free deliveries
- Research new tools & technologies required for the project
Join hands with us to build intuitive products for our valued clients!
The tech stack looks like the below (expect this to change as we scale):
- Typescript for APIs (REST and GraphQL)
- Kafka, Spark, and data warehouses for ML pipelines (spark on python/scala)
- Solidity + hardhat for smart contracts (in the future, rust, go and move)
- AWS & Terraform
- Full nodes
You can expect to do some or all of the following:
- Read through protocols’ whitepapers and smart contracts to derive metrics and analyze risks
- Architect the backend for APIs, async jobs, and blockchain integration
- Build clean, concise APIs for customer integration, along with the documentation
- Setup, run and maintain full and archive nodes across different chains
- Integrate with multiple partners like exchanges and custody providers
- Fool-proof security across the stack - encryption, hashing, privacy, VPC, etc.
- Infrastructure as code - build terraform scripts and ensure easy replication of the infra across different regions
- Research the top DeFi protocols to uncover better insights for our customers and evaluate their risk profiles, security, and historical returns
- Manage production deployments, logging, and monitoring
We expect you to be fairly comfortable with working with both web3 and web2 stacks. We do not expect that you have web3 experience on day 1, but you should be willing to wear multiple hats, learn things quickly and move fast.
About you
- Generalist, a solid engineer who can learn things on your own and have an eye for clean, tested, and well-documented code
- We don’t look at the number of years of work experience as a criterion, but rather see what you have done in your life so far (side projects, open-source contributions, blogs, etc.). We don’t care about degrees, the institutions you went to, or the companies you worked for before. We are open to talking as long as you have good judgment, great clarity, align with our values and have a strong track record of thoughtful work
- Understand the fundamentals of building and integrating APIs and secure systems. Bonus if you know a bit about blockchains and protocols
- You can be strong on the backend, front-end, or can dabble everywhere. We want you to play to your strengths and will provide enough opportunities to learn and do things outside of your comfort zone
Pay and benefits We offer a solid, competitive package (including early-stage equity) that is location agnostic. We give you the flexibility to choose the split between cash and equity.
Looking for technical lead in .Net who are having good experience in .net Domain with cloud platform along with data structure and algorithms.
looking only for immediate joiners in Hyderabad region.
We are looking for Advance Java developers who want to help us design cutting edge scalable products to meet our rapidly growing business. We are building out a team and looking for multiple levels but you should have at least 6+ years of programming experience.
Key Responsibilities
- Build high availability and extreme reliable high volume transactional systems.
- Deliver reliable solutions that handle massive data and high traffic.
- Complete ownership of problem-free execution of owned modules and solutions.
- Focus on code optimization, code quality, maintainability etc.
Skills required
- Hands-on experience in Core J2EE or Core Java (collection, multithreading).
- Proficiency in Spring, Hibernate, Kafka, JDBC.
- Excellent data structure & algorithm and problem solving skills.
- Strong working knowledge of Databases – MySQL/NoSQL, OS - Windows/Linux.
- Experience and knowledge of open source tools & frameworks, broader cutting edge technologies around server side development.
- Should be an active contributor to developer communities like Stackoverflow, Topcoder, Github, Google Developer Groups (GDGs).
- Customer-focused, react well to changes, work with teams and able to multi-task.
Job Description
We are looking for a Back-End Web Developer responsible for managing the interchange of data between the server and the users. Your primary focus will be development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end.
Responsibilities
- Integration of user-facing elements developed by a front-end developers with server side logic
- Building reusable code and libraries for future use
- Optimization of the application for maximum speed and scalability
- Implementation of security and data protection
Skills And Qualifications
- Basic understanding of front-end technologies and platforms, such as JavaScript, HTML5, and CSS3
- User authentication and authorization between multiple systems, servers, and environments
- Integration of multiple data sources and databases into one system
- Management of hosting environment, including database administration and scaling an application to support load changes
- Data migration, transformation, and scripting
- Setup and administration of backups
- Creating database schemas that represent and support business processes
- Implementing automated testing platforms and unit tests
- Experience with Kafka / RabbitMQ
- Proficient knowledge of NodeJS
- Working knowledge of databases like PostgreSQL and MongoDB
- Experience with AWS Cloud services like S3 and EC2
- Proficient understanding of code versioning tools, such as Git
- 2+ years of experience in Python, Django, Mongo, Express, MySQL, etc
- Have built applications capable of serving high volume with low latency in production
- Following practices of agile development with continuous integration/deployment
- Experience in deploying applications in AWS cloud
- Knowledge in building applications for Fintech/payments domain is a bonus
- Bachelor’s or Master’s degree in CS or equivalent from a reputed institution
- Self-starter, hustler, and a desire to achieve greatness is a MUST
- Immediate joining preferred
- You will have the flexibility to design the application and systems from the ground up.
- Your primary responsibility is to implement business logic in the backend and create awesome restful APIs for seamless integration with our mobile front end.







