Elastic Search
Redis
Docker
Kubernetes
MongoDB
Java
Javascript
Python
Go Programming (Golang)
NodeJS (Node.js)
Rust
React.js
GitHub
Git
Machine Learning (ML)
Amazon Web Services (AWS)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.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Recruiting Bond
About
Recruiting Bond is a global leader in Recruitment Process Outsourcing (RPO), Executive Search, Headhunting, Talent Mapping, and Workforce Consulting. Founded by Pavan B, we are on a mission to power businesses through transformative talent strategies that scale teams, accelerate innovation, and unlock human potential.
With a presence across 25+ industries—from IT, Healthcare, and FinTech to Gaming, BioTech, and Web3—we specialize in hiring that drives outcomes. Our domain expertise spans high-growth startups to Fortune 500 companies, delivering elite CXO and leadership talent, strategic workforce solutions, and inclusive hiring at scale.
We help businesses:
✔️ Hire the right leaders and builders
✔️ Scale globally with speed and precision
✔️ Build talent-first roadmaps from MVP to IPO
Whether you're launching, scaling, or transforming—Recruiting Bond is your strategic partner in talent.
🔹 Industries: Technology | Healthcare | FinTech | Retail | Manufacturing | EdTech | Crypto | Real Estate | Web3 | Logistics | Energy & more
🔹 Services: Executive Hiring | RPO | Talent Strategy | Workforce Design | Startup Consulting | Diversity Recruitment
📨 Let’s build the future—together: https://recruitingbond.c
Tech stack
Candid answers by the company
We help businesses:
✔️ Hire the right leaders and builders
✔️ Scale globally with speed and precision
✔️ Build talent-first roadmaps from MVP to IPO
Whether you're launching, scaling, or transforming—Recruiting Bond is your strategic partner in talent.
Company social profiles
Similar jobs
JavaJava Developer – Job Description
Wissen Technology is now hiring a Java Developer with hands-on experience in Core Java, algorithms, data structures, multithreading and SQL.
We are solving complex technical problems in the industry and need talented software engineers to join our mission and be a part of a global software development team.
A brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high-end technical consultancy.
Required Skills:
• Exp. - 4 to 9 years.
• Experience in Core Java and Spring Boot.
• Extensive experience in developing enterprise-scale applications and systems. Should possess good architectural knowledge and be aware of enterprise application design patterns.
• Should have the ability to analyze, design, develop and test complex, low latency client facing applications.
• Good development experience with RDBMS.
• Good knowledge of multi-threading and high-performance server-side development.
• Basic working knowledge of Unix/Linux.
• Excellent problem solving and coding skills.
• Strong interpersonal, communication and analytical skills.
• Should have the ability to express their design ideas and thoughts.
React NativeJavascript
Redux/FluxRequirements :
- 1-3 years of experience in React Native, with a proven track record of contributing to moderate to complex product use-cases.
- Mandatory expertise in React Native and JavaScript/Typescript, with good knowledge of the mobile app development ecosystem for Android and iOS.
- Strong knowledge of state management libraries such as Redux, MobX, or similar.
- Implement best practices for mobile app development, including performance optimization, security, and user experience.
- Strong problem-solving skills and attention to detail.
- Excellent communication and teamwork skills, with the ability to inspire and mentor team members.
Ruby
Ruby on Rails (ROR)DockerHello,
Greetings from CodersBrain!
Coders Brain is a global leader in its services, digital, and business solutions that partners with its clients to simplify, strengthen, and transform their businesses. We ensure the highest levels of certainty and satisfaction through a deep-set commitment to our clients, comprehensive industry expertise, and a global network of innovation and delivery centers.
This is regarding the urgent opening for the'' ROR Developer role. We found your profile in the Cutshort database and it seems like a good fit for the organization. If you are interested, do revert back with your updated CV along with the details:
Permanent Payroll : CodersBrain
Location:- Mumbai/ Kolkata
Notice Period:- imm./15 daysJob Description
Scope of work This role is an exciting opportunity to build highly interactive
customer facing applications and products.
Candidate will help transform vast collections of data into
actionable insights with intuitive and easy to use interfaces and
visualizations.
Candidate will leverage the power of JavaScript and Ruby on
Rail to build novel features and improvements to our current suite
of tools.
This team is responsible for customer-facing applications that
deliver SEO data insights.
Through the applications customers are able to access insights,
workflows, and aggregations of information above and beyond
core data offerings
Responsibility
Build and maintain the core frontend application
Work collaboratively with the engineers on the Frontend team to
ensure quality and performance of the systems through code
reviews, documentation, analysis and employing engineering
best practices to ensure high-quality software
Contribute to org devops culture by maintaining our systems,
including creating documentation, run books, monitoring, alerting,
and integration tests, etc.
Participate in architecture design and development for new
features and capabilities, and for migration of legacy systems, to
meet business and customer needs.
Take turns in the on-call rotation, handling systems and
operations issues as they arise including responding to off-hours
alerts
Collaborate with other teams on dependent work and integrations
as well as be vigilant for activities happening outside the team
that would have an impact on the work your team is doing.
Work with Product Managers and UX Designers to deliver new
features and capabilities
Use good security practices to protect code and systems
Pitch in where needed during major efforts or when critical issues
arise
Give constructive, critical feedback to other team members
through pull requests, design reviews, and other methods
Seek out opportunities and work to grow skills and expertise.
C) Skills Required
Essential Skills JavaScript (preferred ExtJS framework)
Ruby
Ruby on Rails
MySQL
Docker
Desired Skills Terraform
Basic Unix/Linux administration
Redis
Resque
TravisCI
AWS ECS
AWS RDS
AWS EMR
AWS S3
AWS Step Functions
AWS Lambda Functions
Experience working remotely with a distributed team
Great problem-solving skills
D) Other Information
Educational Qualifications Bachelor's degree/MCA
Experience 5– 8 years
Please confirm the mail with your updated CV if you are interested in this position and also please share the below-mentioned details :
Current CTC:
Expected CTC:
Current Company:
Notice Period:
Notice Period:Are you okay with 1 week Notice period if not then comfortable as freelancing work with us till joining:-
Current Location:
Preferred Location:
Total-experience:
Relevant experience:
Highest qualification:
DOJ(If Offer in Hand from Other company):
offer in hand:
Alternate number:
Interview Availability
JavaKubernetes|
Must Have: •At least 6+ years in web services development and solid understanding of web technologies in JAVA •Strong Expertise in building & deploying application on any of the major cloud platforms (GCP, AWS, Azure) •Strong expertise with Docker/Kubernetes •Working knowledge of building Micro Services, RESTful web Services using any framework (Spring Boot, JaxRS, Jersey) •Strong Expertise of writing JUnits & How to configure it through maven •Good understanding of NoSQL databases and have worked upon any one of them (HBase, Cassandra, Big query, Mongo) •Good understanding of Message Queues and have worked upon any one of them (Kafka, RabbitMQ, Pub Sub) •Good understanding of Maven, Git •Good understanding of Jenkins, CI/CD architecture •Good understanding of Programming Algorithms and Data Structures •Experience with BDD & Cucumber
Good to Have: •Monitoring experience – Stackdriver or Prometheus or Azure equivalent •Operational readiness – SLI/SLO, DevOps experience •Service mesh – ex: Istio •Any OpenShift experience •Knowledge on Graph technology •Have worked upon any of the big data technologies •Have worked upon tools like white source, Veracode... •Knowledge of Python and Angular •Integration tests using BDD Framework (Cucumber) •Good understanding of Streaming technologies and processing engines (Dataflow, Flink, Spark) •Knowledge of VSTS |
JavaResponsibility of / Expectations from the Role:
- Document all technical requirements and design technical solutions utilizing enterprise architecture standards including documenting all solution components and configurations
- Contribute to all phases of the development lifecycle.
- Write well-designed, testable, efficient code.
- Ensure designs follow specifications.
- Ability to work independently.
- Persistent problem solver but know when to ask for help.
- Open-minded, transparent and able to learn and adapt.
- Good communication skills – both written and verbal.
- Teamwork skills with a problem-solving attitude.
NodeJS (Node.js)React.jsMongoDB
ExpressNodeJS (Node.js)JavascriptElastic SearchAmazon Web Services (AWS)Aimed at building a massive parallel economy, This For That, is looking for highly driven engineers to build out a world class product. The product is in its early stages so there’s a lot to learn and build from scratch. You will get to work alongside seasoned business and marketing professionals and become part of the core engineering team.
Ideal skills:
1) 2-5 years of professional JavaScript development experience
2) Understanding of asynchronous programming and its quirks and workarounds
3) Comfortable working through the entire stack from the user interface through systems levels
4) Understanding accessibility and security compliance
5) Strong Logical and Analytical Skills
6) Experience in consuming web services (REST) and processing data (JSON)
7) Experience with SQLite, NoSQL, Redis or other databases
8) Proven experience in building API services using NodeJS Express and related frameworks
9) Good understanding of NodeJS asynchronous runtime
10) Good understanding of JS concepts on callbacks and closures
11) Experience in debugging issues related to memory leaks
12) Experience in building highly scalable and high throughput services with sub-second response times
13) Experience with ElasticSearch/Solr
14) Experience working in a collaborative team environment
15) Ability to understand and analyse issues across multiple vendors and interfaces
16) Experience with NoSQL queries
17) Experience with AWS
18) Experience in managing/mentoring small teams
In depth knowledge of all of the above is not mandatory but the nature of the work will involve learning and getting involved with all of the above. You would be working directly with key members of the management team to define and drive technical strategy.
Experience in the mobile space is mandatory. Please only apply if you have been part of building a mobile product. Since our product is mobile only, it is essential that you understand implications on the front end.
JavaPythonNodeJS (Node.js)
Python
HTML/CSS
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon