Python Developer

Summary

We are looking for a motivated Odoo Developer to design, develop, and maintain ERP solutions on both Odoo Community and Enterprise editions. The ideal candidate will have strong Python skills, practical experience with the Odoo framework, and the ability to deliver scalable, customized modules that align with business requirements. Compensation will be offered as a 25% to 50% hike on the candidate’s last drawn salary, based on experience and skill set.

Key Responsibilities

• Develop, customize, and maintain Odoo ERP modules for both Community and Enterprise editions.
• Create new custom modules and enhance existing ones to extend system functionality.
• Write clean, efficient, and well-documented Python code following Odoo development standards.
• Troubleshoot, debug, and resolve technical issues to ensure optimal system performance.
• Collaborate with functional consultants and business stakeholders to deliver scalable ERP solutions.
• Design and implement integrations between Odoo and third-party systems such as APIs, payment gateways, CRM tools, and other business applications.
• Optimize database queries and improve system performance.
• Participate in code reviews, testing, and deployment processes.

Required Skills & Experience

• Minimum 3 years of experience in Odoo development (Community and/or Enterprise editions).
• Strong proficiency in Python and understanding of the Odoo framework.
• Experience with PostgreSQL and database design concepts.
• Knowledge of Odoo ORM, QWeb, XML, and JavaScript.
• Hands-on experience developing and customizing Odoo modules.
• Familiarity with REST APIs and third-party integrations.
• Good debugging and problem-solving skills.
• Understanding of Git or other version control systems.
• Ability to work independently and in a team environment.

Preferred Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Experience working with both Odoo Community and Enterprise editions.
• Exposure to Odoo.sh or cloud deployment environments.
• Basic understanding of business processes such as Accounting, Sales, Inventory, or HR in ERP systems.
• Experience in Agile development methodologies is a plus.

Note

This is an immediate full-time remote requirement. Candidates who are passionate about ERP development and can work with both Odoo Community and Enterprise editions are encouraged to apply.

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 - Senior Backend Developer

About

It is an AI powered GTM intelligence platform for B2B companies. We aims to become the

Master OS on top of the company's entire martech stack. We are integrating multiple sales and

marketing products into an all-in-one platform, adding smart workflows and machine learning/LLM

based intelligence applications to increase qualified pipeline and funnel conversions. It is growing

fast, has an experienced founding team and is funded by top tier investors.

About the Role

We are seeking a Senior Java Microservices Developer who is a highly skilled professional responsible for designing, developing, and maintaining microservices-based applications using Java technologies.

The job description for a Senior Java Microservices Developer typically includes the following responsibilities and requirements:

Responsibilities:

Design and develop microservices-based applications using Java technologies such as Spring

Boot, Spring Cloud, and Hibernate.

Collaborate with cross-functional teams including product managers, architects, and DevOps to

develop and implement scalable and reliable microservices.

Develop and maintain high-quality code by adhering to coding standards, best practices, and

software development methodologies.

Participate in code reviews, bug fixing, and troubleshooting to ensure high-quality code and

maintain system stability.

Work with stakeholders to understand business requirements and translate them into technical

designs.

Conduct performance analysis and optimization of microservices to ensure optimal system

performance.

Continuously improve the codebase through refactoring, code optimization, and documentation

Requirements:

Bachelor's or Master's degree in Computer Science or a related field.

5+ years of experience in Java development, with a focus on microservices development.

Strong knowledge of Java technologies such as Spring Boot, Spring Cloud, Hibernate, and RESTful

API development.

Experience in designing and developing highly scalable and reliable microservices.

Experience with containerization technologies such as Docker and Kubernetes.

Experience in developing and maintaining CI/CD pipelines.

Strong understanding of database technologies, SQL, and NoSQL databases.

Experience with cloud technologies such as AWS or Azure.

Excellent communication and collaboration skills to work effectively with cross-functional teams.

A Senior Java Microservices Developer is a critical role in the development of microservices-based

applications, and they must have a deep understanding of Java technologies and microservices

architecture to be successful in the role

We are seeking a skilled NestJS/PostgreSQL Developer to join our development team. As a NestJS/PostgreSQL Developer, you will be responsible for designing and implementing server-side applications, APIs, and databases using NestJS framework and PostgreSQL. You will work closely with other developers, stakeholders, and project managers to deliver high-quality software solutions.

Responsibilities:

1. Develop server-side applications and APIs using the NestJS framework.
2. Design and implement efficient and scalable database schemas using PostgreSQL.
3. Collaborate with front-end developers to integrate server-side logic with the user interface.
4. Write clean and maintainable code following best practices and coding standards.
5. Conduct code reviews and provide constructive feedback to improve code quality.
6. Optimize application performance and troubleshoot any issues or bugs.
7. Work closely with stakeholders to understand requirements and translate them into technical solutions.
8. Participate in the entire software development lifecycle, including planning, designing, coding, testing, and deployment.
9. Stay up-to-date with the latest trends and technologies in web development, NestJS, and PostgreSQL.

Requirements:

1. Bachelor's degree in Computer Science, Engineering, or a related field.
2. Proven experience (2-5 years) in server-side application development using NestJS framework.
3. Strong knowledge of TypeScript and JavaScript.
4. Experience with PostgreSQL or other relational databases.
5. Proficiency in building and consuming RESTful APIs.
6. Familiarity with Git version control system.
7. Good understanding of software development principles, design patterns, and best practices.
8. Excellent problem-solving and debugging skills.
9. Strong communication and collaboration skills.
10. Ability to work independently as well as in a team environment.

Preferred Qualifications:

1. Experience with other JavaScript frameworks such as Angular or React.
2. Knowledge of microservices architecture and containerization (e.g., Docker).
3. Familiarity with cloud platforms like AWS, Azure, or GCP.
4. Experience with testing frameworks (e.g., Jest, Jasmine).
5. Understanding of Agile/Scrum development methodologies.

Loyalty Juggernaut, Inc. (LJI) is a next-generation loyalty and customer engagement solutions enterprise, helping brands re-imagine their loyalty initiatives in #theageofdigitalconsumer.

Headquartered in the Silicon Valley with R & D and Professional Services presence in Hyderabad, India and Distribution offices globally. LJI is founded by customer relationship management experts with decades of experience in delivering world-class technology innovations in CRM, Loyalty, AdTech and consulting for leading global brands across industries. 

LJI delivers GRAVTY – transformational digital platform for loyalty and customer engagement built on Big Data, Micro-services based, Serverless Architecture, AI/ML delivered on the Cloud to help brands execute innovative strategies aimed at attracting, acquiring, rewarding, recognizing, engaging, and leveraging customers in order to maximize revenue, profitability and customer lifetime value.

Visit us at http://www.lji.io/">www.lji.io

LJI is inviting applications for the position of Product Engineer in our R&D Team

YOUR RESPONSIBILITIES 

As a Product Engineer in R&D team, you will  be responsible for end-end Software development life-cycle involving Technical design, implementation, deployment, and support. You will 

• Work actively with Product Specialists, Business Analysts and other stakeholders on the development of cutting-edge product features
• Partner with Customer Success teams to review and implement business requirements
• Build high-quality innovative and reusable code - design and implement new features in cooperation with the enterprise architect
• Conduct software analysis, programming, testing and debugging
• Ensure designs are in compliance with specifications
• Identify production and non-production application issues and support them

OUR TECH STACK

• Java(SpringBoot)
• Python(Django)
• PostgreSQL
• REST, WebServices
• Angular, Javascript, HTML
• Jenkins, Maven, Git, Ansible
• AWS

YOUR PROFILE

1. B.Tech or M.Tech in CSE/IT OR MCA/BCA
2. Strong programming skills
3. Analytical mind and problem-solving aptitude   
4. Excellent communication skills
5. Attention to detail  

OUR OFFERING

1. Opportunity to Innovate with and Learn from a World-class technology team
2. Dabble into the future of technology - Enterprise Cloud Computing, Blockchain, Machine Learning and AI, Mobile, Digital Wallets, and much more...
3. Grow with a fast growing company with global presence and recognition