Ruby on Rails 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.

Profile: Senior PHP Developer

Experience- 10+Years

Mode: Remote

Required Skills:

• PHP (10+ years) & Symfony framework (5+ years)
• Team leadership experience (3+ years)
• OOP, design patterns, RESTful APIs
• Database optimization (MySQL/PostgreSQL)
• Git, CI/CD, testing frameworks
• Excellent communication skills

Responsibilities:

• Lead PHP/Symfony development
• Mentor team members
• Ensure code quality through reviews
• Collaborate with stakeholders
• Manage sprint cycles
• Optimize application performance

Responsibilities-

• Writing back-end code & front –end code and building efficient Java modules
• Contribute in all phases of the development lifecycle, Write well designed, testable, Design, build, and maintain efficient, reusable, and reliable Java code code
• Help maintain code quality, organization, and automatization
• Ensure designs are in compliance with specifications
• Prepare and produce releases of software components
• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review
• Translate application storyboards and use cases into functional applications
• Ensure the best possible performance, quality, and responsiveness of the applications
• Identify bottlenecks and bugs, and devise solutions to these problems
• Align with organizational security protocols and data protection requirements and
• Implement the required feature
• Participate in all phases of the SDLC

Skills and Experience-

• BS/MS Degree in Computer Science, Engineering or a related subject
• Hands-on experience in designing and developing applications using Java EE platforms
• Object-oriented analysis and design using common design patterns.
• Profound insight of Java and JEE internals (Class loading, Memory Management, Transaction management, etc.)
• excellent knowledge of Relational Databases, SQL, and ORM technologies (JPA2, Hibernate)
• Experience in the Spring Framework
• Hands-on experience in designing and developing applications using JavaScript, j Query, and AJAX.
• Ensure that the APIs and services are adequate to support the application
• Profound insight of Java and JEE internals (Class loading, Memory Management, Transaction management etc.)
• Excellent knowledge of Relational Databases, SQL, and ORM technologies (JPA2, Hibernate)
• Experience with test-driven development

• excellent written and verbal communication skills Ability to quickly adapt and learn new technologies.
• Collaborate with other parts of the technology team, including product, QA, etc. to deliver a solid product.

Basic Requirement :

node.js

•Writing web services REST and GraphQL using node.js frameworks such as express and node SDKs

•Develop low-latency, high-availability, and high-performance applications using node.js framework

•Develop using microservices architecture style and asynchronous using loopback

•Implementation of security such as web service authentication and data storage (such as database, key-value stores, and object storage) in the application

•No other fuss only code

Required Technical Expertise

•Strong proficiency in node.js, and AWS Lambda.

•Experience in PostgreSQL, MongoDB, Amazon SQS, Kafka, Amazon SNS, Dynamodb, and Firebase

•Experience in using node.js frameworks (such as express, StrongLoop)

•Experience in asynchronous programming and use of libraries in node.js

•User authentication and authorization in a microservices architecture

•Integration of multiple data sources and databases into the application

•Understanding of microservices and scalable architecture

•Experience in creating database schemas (SQL & NoSQL) for the applications

You should have in-depth knowledge of object-oriented PHP programming and MySQL, an understanding of MVC designs specifically Code Igniter, JSON, JavaScript, and working knowledge of front-end technologies including HTML5, JavaScript, and CSS3.

Roles and Responsibilities:

- Development and maintenance of Web applications in Code igniter framework.

- DB Schema designing

- UI Designing

- Web services/API endpoint implementation

- Development of back-end process

- UML designing

- Strong in SQL Queries

Company Brief- Bangalore -

NowApps Technologies Pvt Ltd. (http://www.nowappstech.com/index.php) is a company focused exclusively on providing solutions for extended enterprises Our aim is to build a platform that creates more wealth for every stakeholder who directly or indirectly participates in the upstream and downstream supply chain process. We envisage a world wherein every business that operates through channel partners - irrespective of small, medium, or large - can get connected and work on a single platform to provide a unified experience to its customers. For additional information, visit channelkonnect.com.

Share your Cv with below email

operations at nowappstech.com

• Experience of using Python/ Django frameworks in building back end for Full Stack Applications
• Hands on experience on Web frameworks, Restful APIs and SOAP
• Strong command on SQL (or relevant query language or ORM queries)
• Knowledge of front-end technologies such as React Native, React.js, Angular.js or Javascript

We are looking for a high-performing Developer to build our ecommerce platform and API framework powered by Machine Learning and Artificial Intelligence. Candidates for this role will be passionate about well-written code, testing, and excel at coming up with simple approaches to complex problems.

Our work culture is overachiever, very amiable, and at the same time always charged with excitement. We encourage our team members to take responsibility and grow into future leaders in the industry.

Job Responsibilities:

• Understand project requirements, writing bug-free clean code and ensure that the solution works per the agreed architecture, SLAs, KPIs and business model
• Integrate Django backend with third party API
• 100% Hands-on role
• Adapt to rapidly evolving requirements and changing priorities and drive the team accordingly
• Reverse engineer for debugging errors in code and ensure quality control in the process.
• Continually drive products towards a meaningful balance between user needs, business objectives and technical feasibility
• Operate in a hyper-collaborative way and follow these guiding principles: Value common sense and simplicity over complexity.

Qualifications:

• Bachelor or Master Degree in Computer Science from a reputed University
• 3 to 5 years of experience working in Django and Python.
• React and/or Angular for front end
• Proficiency in MongoDB and MySql
• Technical Skills: JIRA, Gitlab, Rest API, GCP or AWS
• Experience in performance profiling, tuning, and optimization, caching mechanisms with Enterprise level applicants
• Experience in writing unit testing and test case automation.
• Ability to operate in an Agile environment with a start-up mentality and unstructured environment, Energy, drive and passion to work, and operate in a digital world.