Wordpress 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.

• Proficient in .NET Framework, C#, ASP.NET, MVC, Web API, Entity Framework. Strong design capabilities with SOLID principles using C#. Working knowledge in WCF. Database knowledge in SQL Design, and deliver innovative software solutions in collaboration with Technology teams. Develop high-quality production code Experience in HTML, CSS, Javascript. Experience in React / Angular or Typescript preferred

Job Title: Odoo Developer

Job Summary:

We are seeking an experienced Odoo Developer to join our dynamic team. The ideal candidate will be responsible for customizing, developing, and implementing Odoo ERP solutions. You will work closely with clients to understand their business needs and create tailored solutions to enhance business processes and improve efficiency.

Key Responsibilities:

• Odoo Customization & Development: Customize and develop Odoo modules based on client requirements.
• Module Creation: Design, implement, and maintain custom Odoo modules for various business functions (e.g., sales, inventory, accounting).
• Integration: Integrate Odoo with third-party applications and external systems through APIs.
• Database Management: Manage and optimize PostgreSQL databases associated with Odoo.
• Bug Fixing & Troubleshooting: Identify, diagnose, and resolve issues in Odoo systems to ensure smooth operations.
• Odoo Upgrades: Perform Odoo version upgrades and ensure compatibility of modules across different versions.
• User Support: Provide technical support to users and assist in troubleshooting issues.
• Documentation: Maintain proper documentation of all customizations and development work.
• Collaboration: Work closely with project managers, business analysts, and clients to deliver the best solutions.

Skills & Qualifications:

• Strong proficiency in Python and experience with the Odoo framework.
• Experience in developing and customizing Odoo modules and reports (Qweb).
• Solid understanding of SQL, PostgreSQL, and database management.
• Knowledge of JavaScript, XML, HTML, and CSS for front-end customization.
• Familiarity with API integration and third-party system integration.
• Strong problem-solving and debugging skills.
• Experience with version control systems like Git.
• Ability to work on multiple projects and meet deadlines in a fast-paced environment.
• Good communication skills and ability to collaborate with clients and team members.
• Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience).

Preferred Skills:

• Experience in Odoo eCommerce and Odoo Studio.
• Knowledge of project management methodologies (e.g., Agile).
• Familiarity with Odoo security best practices and performance optimization.

Why Join Us?

• Opportunity to work on exciting Odoo projects across different industries.
• Collaborative and supportive work environment.
• Competitive salary and benefits.

Job Summary:

We are looking for a skilled and experienced Java Developer to join our team. As a Java Developer, you will be responsible for developing and maintaining our applications using Java, Spring framework, and other related technologies. The ideal candidate should have a strong understanding of object-oriented programming principles, as well as experience with a variety of technologies such as SQL, NoSQL, and cloud computing.

Responsibilities:

• Design, develop, and maintain our applications using Java, Spring framework, and other related technologies
• Write clean, efficient, and optimized code for applications
• Collaborate with cross-functional teams to understand user requirements and deliver high-quality solutions
• Develop and maintain backend systems using Spring framework
• Work with databases, including SQL and NoSQL
• Ensure code quality and maintain documentation
• Troubleshoot and debug applications
• Stay updated with emerging trends and technologies in Java development
• Work with other teams to deploy and maintain applications

Requirements:

• 3-7 years of experience in Java development
• Strong understanding of object-oriented programming principles
• Experience with Java, Spring framework, and related technologies
• Familiarity with databases, including SQL and NoSQL
• Knowledge of cloud computing is a plus
• Excellent problem-solving and debugging skills
• Strong communication and collaboration skills
• Ability to work independently and as part of a team
• Bachelor's degree in computer science or a related field

Key Skills:

• Strong proficiency in Java programming language
• Experience with Spring framework, including Spring Boot and Spring MVC
• Familiarity with cloud platforms such as AWS, GCP, and Azure
• Experience building RESTful APIs
• Knowledge of microservices architecture
• Familiarity with SQL and relational databases such as MySQL and Postgres
• Familiarity with NoSQL databases such as MongoDB and Redis
• Experience with messaging systems such as Kafka and RabbitMQ
• Experience with containerization tools such as Docker and Kubernetes
• Understanding of software development principles and experience with SDLC methodologies
• Experience with Git version control and build tools such as Maven and Gradle
• Familiarity with front-end technologies such as Angular and React is a plus
• Strong problem-solving and analytical skills
• Good communication and interpersonal skills
• Ability to work independently and take ownership of tasks
• Experience with test-driven development and unit testing frameworks such as JUnit and Mockito
• Familiarity with CI/CD tools such as Jenkins is a plus
• Familiarity with caching technologies such as Redis is a plus
• Working knowledge of design patterns and software architecture principles is a plus.