Sr. Net 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.

Oister Global (www.oisterglobal.com) is India’s premier Alternative Assets Manager. We combine robust diligence, deep domain expertise, and an extensive network to create high quality private market opportunities for our investors.

We are seeking a Senior Backend Developer who will be pivotal in architecting and developing scalable, reliable backend systems from scratch. You will work closely with product managers, designers, and other engineers to build new products, design backend architectures, and ensure high performance and responsiveness of the systems. This role requires strong backend fundamentals, cloud experience, a deep understanding of databases, and a passion for system design and architecture.

Key Responsibilities:

● Product Development: Architect, design, develop, test, and deploy new backend products and features from scratch.

● System Design: Take ownership of system design and architecture decisions for new modules, ensuring scalability, reliability, and security. ● API Development: Build efficient and reusable APIs and backend services using Node.js.

● Database Management: Design data models, optimize queries, and manage MongoDB clusters efficiently.

● Cloud Management: Deploy, maintain, and optimize services on AWS, ensuring high availability and performance.

● Best Practices: Maintain coding standards, ensure code reviews, and champion best practices in security, testing, and maintainability.

● Collaboration: Work closely with frontend developers, product managers, QA, and other cross-functional teams to define, design, and ship new features.

● Performance Optimization: Monitor system performance and ensure system uptime and responsiveness.

● Mentorship: Provide guidance and mentorship to junior developers as required.

● Documentation: Maintain thorough documentation of systems, processes, and best practices. Must-Have

Qualifications:

● Education: Bachelor’s degree in computer science, Software Engineering, or a related technical field.

● Experience: 4–5+ years of hands-on backend development experience.

● Expertise in: Node.js (Express.js, Nest.js or similar frameworks) MongoDB (including indexing, replication, sharding concepts) AWS Services (EC2, S3, Lambda, RDS, API Gateway, CloudWatch, IAM, etc.) Proficient in: System design principles Microservices architecture Event-driven architecture Strong understanding of: RESTful APIs.Authentication and authorization best practices (OAuth, JWT) Experience with: CI/CD pipelines Docker and containerization principles Hands-on experience in: Building scalable, distributed, and fault-tolerant systems Good knowledge of : Logging, monitoring, and debugging distributed applications

Responsibilities:

• Develop new Magento themes as per customer's design
• Customize the ready-made themes as and when required
• Customize the functionality of Magento extensions or create new extensions
• Magento API related work

Requirements:

• Must have knowledge of PHP-MYSQL, XML, XHTML, SCSS, API integration
• Must have 2+ years of Magento 2 Experience with theme integration and theme customization
• Custom extension building experience would add extra points
• Experience working on AJAX & jQuery
• Strong debugging and troubleshooting skills

Benefits Providing By Coreway Solution:

• Paid Leaves
• Flexibility in working hours
• Yearly Tour
• Performance Bonus
• Learning & Growth Platform
• Weekly & Monthly Celebrations
• Friendly Work Culture
• Alternate Saturday Off

JOB OPENING FOR MNC COMPANY

Job Description for Ruby on Rails Developer:-

Experience: 1 - 4 Years 
  

Job Description:-

• 1 - 4 years of experience with Ruby and web development with Rails
• Experience with Test-Driven Development
• MySQL/PostgreSQL or other relational databases
• Experience with job processing queue (resque, etc.)
• Excellent communication and analytical skills
• Strong requirements gathering, analysis and questions skills
• Ability to contextualize a problem, and understand who the stakeholders are and how it fits in the system before diving into a problem
• Agile, Continuous Delivery and software release methodologies
• Bachelor’s degree or equivalent industry experience
• OS X or *nix Command Line Proficiency
• Ability to manage own work

Nice to have skills:

• Familiarity with OOP principles
• Elixir / Phoenix and familiarity with FP principles
• Docker, Kubernetes or other virtualization infrastructure
• Ability to manage a project
• Other: JavaScript, Rspec, Git, Redis, REST APIs, GraphQL, Domain-Driven Design

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.