Node.js Developer

Job Title : Golang Developer

Experience : 3+ Years

Location : Pune, Maharashtra (On-site)

Employment Type : Full-Time

Role Overview :

We are looking for a passionate and skilled Golang Developer with strong computer science fundamentals and hands-on development experience. The ideal candidate should be a logical thinker, self-motivated problem solver, and eager learner who enjoys building scalable and high-performance applications.

Mandatory Skills : Strong hands-on experience in Golang, RESTful API development, PostgreSQL/MySQL, Git version control, and solid problem-solving with computer science fundamentals.

Key Responsibilities :

• Develop, maintain, and enhance backend applications using Golang.
• Write clean, scalable, and efficient code following best coding practices.
• Design and implement RESTful web services.
• Collaborate with cross-functional teams including Product, UX, and QA to deliver quality software on time.
• Take end-to-end ownership and accountability of assigned tasks.
• Contribute to performance optimization and application scalability.

Required Skills :

• Strong hands-on experience in Golang and related frameworks.
• Good understanding of RESTful API development.
• Experience working with RDBMS such as PostgreSQL/MySQL.
• Strong problem-solving skills and solid computer science fundamentals.
• Experience with Git version control.
• Excellent communication skills.

Good to Have :

• Basic knowledge of HTML, CSS, and any JavaScript framework.
• Exposure to Non-relational databases.
• Participation or credentials on platforms like HackerRank/HackerEarth.
• Understanding of end-to-end web application development.

Job Description

We are seeking a Moodle Developer with strong PHP expertise to develop, customize, and support our Learning Management System (LMS) for EdTech products. The role involves deep Moodle core development, plugin customization, and LMS integrations to deliver scalable and user-friendly online learning solutions.

Key Responsibilities

Develop and customize Moodle LMS using PHP

Create and enhance custom Moodle plugins, blocks, and reports

Customize Moodle themes, UI, and UX

Integrate Moodle with ERP, CRM, payment gateways, and third-party APIs

Manage Moodle upgrades, migrations, and security patches

Optimize LMS performance, database queries, and scalability

Implement user roles, permissions, assessments, and reports

Troubleshoot and resolve production issues

Collaborate with product, academic, and QA teams

Required Skills

Strong experience in PHP with Moodle LMS

Hands-on knowledge of MySQL / PostgreSQL

Proficiency in HTML, CSS, JavaScript, jQuery

Experience in Moodle plugin development & customization

Understanding of SCORM, quizzes, grading, and reporting

Experience with REST APIs, web services, and SSO

Familiarity with Linux server environments

Good to Have

Experience in EdTech platforms / online education

Knowledge of Moodle Mobile App customization

Exposure to AWS / Cloud infrastructure

Understanding of data security & privacy standards

Experience with Git / CI-CD pipelines

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.

🔧 Key Skills

• Strong expertise in Python (3.x)
• Experience with Django / Flask / FastAPI
• Good understanding of Microservices & RESTful API development
• Proficiency in MySQL/PostgreSQL – queries, stored procedures, optimization
• Solid grip on Data Structures & Algorithms (DSA)
• Comfortable working with Linux & Windows environments
• Hands-on experience with Git, CI/CD (Jenkins/GitHub Actions)
• Familiarity with Docker / Kubernetes is a plus

Job Overview

We are looking for a talented Senior Backend Developer to join our team in developing backend servicing. As a key member of our development team, you will be responsible for cross-functional teams to design, develop, and maintain backend services and APIs using Node.js. The ideal candidate is passionate about distributed systems, has experience with backend services and is excited about optimising applications for performance, scalability, and reliability.

Responsibilities:

• Design, develop, and maintain backend services and APIs using Node.js.
• Collaborate with cross-functional teams to define requirements, architect solutions, and implement features.
• Write clean, modular, and maintainable code following best practices and coding standards.
• Optimise applications for performance, scalability, and reliability.
• Implement security measures to ensure data privacy and integrity in backend systems.
• Troubleshoot and debug issues to ensure smooth operation of production systems.
• Perform code reviews to maintain code quality, consistency, and adherence to coding standards.
• Stay updated with the latest trends and technologies in backend development, Node.js, and related ecosystems

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field.
• Proven experience in backend development, with at least 4 years of experience using Node.js.
• Strong understanding of data structures, algorithms, and software design principles.
• Experience with web frameworks such as Express.js.
• Proficiency in building RESTful APIs and microservices architecture.
• Familiarity with relational and NoSQL databases (e.g., MongoDB, PostgreSQL).
• Solid understanding of asynchronous programming and event-driven architectures.
• Experience with version control systems (e.g., Git) and collaborative development workflows.
• Excellent problem-solving, analytical, and troubleshooting skills.
• Ability to work independently and in a team environment, with excellent communication skills.

Looking for technical lead in .Net who are having good experience in .net Domain with cloud platform along with data structure and algorithms.

looking only for immediate joiners in Hyderabad region.

The ideal candidate is a highly resourceful and innovative developer with extensive experience in the layout, design and coding of websites specifically in PHP format. You must also possess a strong knowledge of web application development using PHP programming language and MySQL Server databases. 

Responsibilities

- Who can understand and demonstrate to maintain Data Quality in high volume data  systems.

- One who can understand and can deliver highly tested system

- Who can routines to test their own code using negative sql concepts.

- Who can use OOP concepts with same class being used everywhere.

- Knowledge in Angular.js and Laravel is mandatory

- College degree is not mandatory

- hike on last salary will be given

-Full time / Remote job

-Can share cv 

Thanks & Regards,

Annu

Job Location- Lucknow
The ideal candidate is a highly resourceful and innovative developer with extensive experience in the layout, design and coding of websites specifically in PHP format. You must also possess a strong knowledge of web application development using PHP programming language, Laravel Framework and MySQL Server databases.

Responsibilities

• Perform a mix of maintenance, enhancements, and new development as required
• Work in a data analyst role and with business intelligence applications
• Document features, technical specifications & infrastructure Responsibilities
• Work cross-functionally to convert business needs into technical specifications

Qualifications

• 1+ years' of experience in web development and software designing & Laravel Framewrok.
• Expertise in front-end technologies (HTML, JavaScript, CSS), PHP frameworks, and MySQL databases