PHP 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.

• Create, maintain, test, and fix back-end infrastructure, including databases, data integration, API, core application logic, and other processes that need to be done behind the curtain. Since the job responsibilities can be performed remotely, we simply want our back-end developer to analyze user needs and improve user experience according.
• proficient in server-side development and optimization of data, including database creation and management and debugging
• Integrate data from various back-end services and databases
• Create and maintain software documentation
• Create user-friendly and intuitive interfaces
• Create and analyze reliable and secure back-end functionality
• Maintain, expand, and scale designed database
• Collaborate with front-end developers and web designers to match visual design intent.
• Design RESTful APIs
• Experience working with relational database like mysql/oracle, Mangodb

Main tasks

• Development and maintenance of Innovative Radio Monitoring software
• Contribution of your development experience in all phases from Conception to Rollout
• Work within the framework of CI/CD and DevOps for constant real-work capability
• Collaboration in an Agile and Cross-functional team

Qualification Profile

• Completed studies or training in the field of Computer science or Software Engineering or comparable qualification
• Knowledge and 3+ years of experience in programming with C# and modern frameworks like .NET
• Passion and fun for software development in a self-organized manner
• Knowledge of Microservices and distributed systems
• Strong interpersonal skills, including a cooperation and team-based focus, experience in liaising between PMs, BAs, and testers
• Ability to communicate with both technical and non-technical people
• Practical experience with Jenkins, Kubernetes, and Docker is an advantage

We are looking for a highly skilled computer programmer who is comfortable with both front and back end programming. Full stack developers will be required to see out a project from conception to final product, requiring good organizational skills and attention to detail.

Responsibilities:

• Developing front end website and back-end website applications.

• Seeing through a project from conception to finished product.

• Designing and developing integrations with 3rd party apps.

• Working on Next JS and Node JS .

• Design, build and maintain SaaS-based products.

• Collaborate with cross-functional teams to define, design, and ship new features.

• Web services and Integration with Business applications and various softwares

• Work with outside data sources and API’s, REST API's

• Unit-test code for robustness

• Work on bug fixing and improving application performance.

Requirements:

• Experience of 1-3 years.

• Proficiency with fundamental front-end languages such as HTML, CSS, and JavaScript.

• Proficiency with languages such as React JS, Next JS, Node JS, PHP Laravel, Angular, WordPress, REST API's

• Excellent verbal communication skills.

• Good problem-solving skills.

• Knowledge of software development principles and design patterns.

• Excellent problem-solving skills and ability to learn new technologies quickly.

• Strong communication skills and ability to work collaboratively in a team environment.

Job Type: Full-Time, 9 am to 6:30 pm (Monday to Friday)

Design, develop and support real time data monitoring application and a dashboard for a VoIP network

Roles and Responsibilities:

• Design, build and maintain efficient, reusable, and reliable Ruby code
• Ensure the best possible performance, quality, and responsiveness of the applications
• Identify bottlenecks and bugs, and devise solutions to these problems

Required Skills:

• 3+ yrs of experience developing Ruby applications on Linux platform with exposure to HTML, CSS and javascripts
• Solid understanding of object-oriented programming
• Experience with any one NoSQL solution like Redis, MongoDB, CouchDB is a must
• Deep understanding of high traffic, highly scalable, complex web applications
• Ability to work in a dev-automation environment with some source control, continuous integration/delivery systems
• Good problem solving/analytical skills
• Excellent written and verbal communication

Preferred Skills:

• Conversant with Elasticsearch, Neo4j and D3.js
• Inclination to GO programming
• Experience working with open source projects

If you are a great Java developer with experience in building scalable SaaS web applications and looking for an opportunity in building world-class products using cutting-edge technologies, please read on.

Nimesa is a Data Protection & Copy Data Management company creating an enterprise-class Backup & Recovery solution. Our product can cater to the needs of the enterprise AWS users who are looking for a 360 Data Protection solution that can do more than just Backup & Recovery.

As a Senior R&D Engineer, You will

• Design and build scalable complex systems with Java and Spring
• Contribute to the development of new features, debugging, and deliver timely fixes
• Perform peer code reviews in order to ensure quality standards

• Experience with Java, Spring Boot, AWS.
• Good at Design patterns, Algorithms.
• Experience with relational databases like PostgreSQL and MySQL
• Good understanding of web programming like REST and HTTP
• Strong Knowledge of Java Concurrency and Collection frameworks
• Knowledge of microservices architecture, messaging systems (RabbitMQ or Kafka), and docker is good to have
• Insights on workings of Database, Queues, Cache, servers.

• Developing and maintaining all server-side network components.
• Ensuring optimal performance of the central database and responsiveness to front-end requests.
• Collaborating with front-end developers on the integration of elements.
• Designing customer-facing UI and back-end services for various business processes.
• Developing high-performance applications by writing testable, reusable, and efficient code.
• Documenting Node.js processes, including database schemas, as well as preparing reports.
• Keeping informed of advancements in the field of Node.js development.

This is FTE Position

Client: Anblicks

Need Immediate joiners (1 week is fine)

Position : Backend Developer(NodeJs ,MongoDB & AWS)

Experience : 3-6 Years

Location : Ahmedabad / Hyderabad

• API Development 3 + years
• Node.JS (3 Years minimum)
• JavaScript
• AWS Lambda
• AWS API Gateway
• AWS Cognito
• MongoDB
• Front-end  React (Plus as primary need is for API Development)
• Data Modelling Knowledge
• Need to provide sample code

Strong Hands-on experience in React using API development and Mongo DB is mandatory.