PHP Developer - Wordpress, Core PHP, Woocommerce

Responsibilities

· Work on PHP Laravel and CodeIgniter

· Experience for API development for mobile apps

· Train to junior PHP team member

· Complete allotted Project task on proper time

· Contribute to project tracking and planning

· Do Oral or written client communication for the project

· Client communication and technical support.

Requirements

· Excellent Communication skills

· Knowledge of HTML, CSS, Javascript, Bootstrap, and PHP

· Expertise in MVC architecture and MySQL

· Design/Development experience in Laravel

· Experience developing API using REST is huge plus point

· Strong proficiency in JavaScript, JQuery & third-party integration

· Clean coding style with the clear separating of UI and functionality.

· Problem Solving & Leadership skill

Experience: 0 to 2 years

Salary range: 15k to 45k

Location: Vesu, Surat

Can contact us directly on nine three one six one two zero one three two

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.

Role Overview

The Senior Adobe Experience Manager (AEM) Developer will lead the design, development, and maintenance of Government of Rajasthan’s portal websites built on the AEM platform. This role involves leading technical solutions, performance optimization, security compliance, and guiding the development team.

Key Responsibilities

• Lead the design and development of complex components and templates in Adobe Experience Manager (AEM).
• Manage AEM configurations, workflows, and permissions for multiple portals.
• Develop and integrate custom OSGi bundles, Sling models, and components.
• Ensure performance tuning, caching strategies, and scalability of AEM solutions.
• Handle dispatcher configuration and optimization for content delivery.
• Collaborate with architects and project managers for solution design.
• Ensure compliance with Safe-to-Host and OWASP security standards.
• Mentor junior developers and review their code for quality.
• Integrate with third-party services (Payment Gateway, SMS Gateway, etc.).
• Manage version control (Git) and deployment pipelines (Jenkins).

Required Skills

• 5+ years of experience in Adobe Experience Manager (AEM 6.3 or above).
• Strong expertise in Java/J2EE, OSGi, Apache Sling, JCR (Jackrabbit Oak).
• Hands-on experience with HTL (Sightly), HTML5, CSS3, JavaScript, jQuery.
• Good understanding of Dispatcher, Apache HTTP Server, and performance tuning.
• Knowledge of REST/SOAP APIs and system integration.
• Familiarity with Git, CI/CD tools (Jenkins).
• Excellent problem-solving and team leadership skills.

Preferred Certifications

Adobe Certified Expert (AEM Sites Developer or Architect).

Backend Architect:

Technology: node js, DynamoDB / Mongo DB

Roles:

• Design & implement Backend Services.
• Able to redesign the architecture.
• Designing & implementation of application in MVC & Microservice.
• 9+ years of experience developing service-based applications using Node.js.
• Expert-level skills in developing web applications using JavaScript, CSS and HTML5.
• Experience working on teams that practice BDD (Business Driven Development).
• Understanding of micro-service architecture and RESTful API integration patterns.
• Experience using Node.js for automation and leveraging NPM for package management
• Solid Object Oriented design experience, and creating and leveraging design patterns.
• Experience working in a DevOps/Continuous Delivery environment and associated toolsets (i.e. Jenkins, Puppet etc.)
  
  
  

Desired/Preferred Qualifications :

1. Bachelor's degree or equivalent experience
2. Strong problem solving and conceptual thinking abilities
3. Desire to work in a collaborative, fast-paced, start-up like environment
4. Experience leveraging node.js frameworks such as Express.
5. Experience with distributed source control management, i.e. Git

Job Category: Software Development

Job Type: Full Time

Job Location: Bangalore

Gnani.ai aims to empower enterprises with AI based speech technology.

Gnani.ai is an AI-based Speech Recognition and NLP Startup that is working on voice-based solutions for large businesses. AI is the biggest innovation that is disrupting the market and we are at the heart of this disruption. Funded by one of the largest global conglomerates in the world, and backed a number of market leaders in the tech industry,

We are working with some of the largest companies in the banking, insurance, e-commerce and financial services sectors and we are not slowing down. With aggressive expansion plans, Gnani.ai aims to be the leader in the global market for voice-based solutions.

Gnani.ai is building the future for voice-based business solutions. If you are fascinated by AI and would like to work on the latest AI technologies in a high-intense, fast-growing and flexible work environment with immense growth opportunities, come and join us. We are looking for hard workers, who are ready to take on big challenges.

NLP Software Developer

Gnani.ai is looking to hire software developers with 0 to 2+ Years of experience, with a keen interest in designing and developing chat and voice bots. We are looking for an Engineer who can work with us in developing an NLP framework if you have the below skill set

Requirements :

• Proficient knowledge of Python
• Proficient understanding of code versioning tools, such as Git / SVN.
• Good knowledge of algorithms to find and implement tools for NLP tasks
• Knowledge of NLP libraries and frameworks
• Understanding of text representation techniques, algorithms, statistics
• Syntactic & Semantic Parsing
• Knowledge/work experience on No-SQL database Mongo.
• Good knowledge of Docker container technologies.
• Strong communication skills

Responsibilities :

• Develop NLP systems according to requirements
• Maintain NLP libraries and frameworks
• Design and develop natural language processing systems
• Define appropriate datasets for language learning
• Use effective text representations to transform natural language into useful features
• Train the developed model and run evaluation experiments
• Find and implement the right algorithms and tools for NLP tasks
• Perform statistical analysis of results and refine models
• Constantly keep up to date with the field of machine learning
• Implement changes as needed and analyze bugs

Good To Have :

Start up experience is a plus

• 2+ years of experience on Java, Spring Boot, Hibernate in medium to large-scale projects
• Must have experience with at least some flavours of both SQL (MySQL, Postgres) and NoSQL (Kafka, MongoDB, ElasticSearch, NoSQL distributed cache system, DynamoDB etc), datastores in production
• Must have experience with Kafka or similar message queue systems in production
• Stellar problem solving skills
• Hunger to learn new things and ability to grasp new concepts quickly
• Ability to move quickly without breaking things too much (we are dreamers)
• Ability to work under immense pressure which is balanced by a sense of responsibility and ownership
• Should be able to groom juniors and take them to the next level

About the role:

As a product engineer I/II, you will be responsible for continuous improvement of Cashfree experience for all our customers and end- users. You will dream big but identify and take small steps towards achieving that goal. You will receive great feedbacks at every step of the development cycle from your peers to our customers and end- users.

You may be working on architecting the money disbursement flow or creating most- friendly interface for consumer payment. All our engineers identify as generalist and building products that are useful and delightful are core to our engineering culture.

You're more than a coder. You wil be part of entire product process, from conceptualizing till post- launch evaluation. You should have deep empathy for the users to minimize the gap between what we build and what they need. Have sound judgement to balance between code writing speed and it's maintainability. Knowledge of variety of server- side/ frontend frameworks is desirable but not compulsory