
About FrontM
At FrontM, we are on a mission to transform the lives of frontline workforces, particularly in the maritime industry. We believe in creating a more connected, empowered, and engaged workforce by building cutting-edge solutions that merge the power of technology with human-centric needs. Our vision is to develop the world’s leading digital toolbox platform for maritime operations —a platform that brings everything for frontline workforces from digital wallets, recruitment, onboarding, healthcare, and learning to welfare and human capital management under one seamless umbrella.
Role Summary
As a JavaScript Developer at FrontM, you will be at the forefront of developing our pioneering digital toolbox platform and the low-code developer framework that powers it. You will have the opportunity to work with the latest JavaScript frameworks, integrating advanced technologies such as Large Language Models (LLMs), AI, and the latest GPT models. You’ll also be part of our exciting roadmap to evolve our low-code platform into a no-code solution, making app development accessible to everyone. Your contributions will be pivotal in the creation and enhancement of the Maritime App Store, where innovation meets practicality, offering solutions that make a tangible difference in the lives of seafarers and other frontline workers.
Key Responsibilities
Application Development (≈60%)
- Build micro-apps using the frontm.ai framework
- Implement intent-based architectures, context and state management
- Develop responsive UIs, forms, collections, filters, and workflows
- Integrate AWS services (Lambda, S3, DynamoDB, Bedrock)
- Build conversational AI features and real-time capabilities (messaging, video, notifications)
Framework Development (≈25%)
- Enhance and extend the frontm.ai core framework
- Build reusable components, patterns, and accelerators
- Improve performance for low-bandwidth environments
- Contribute to documentation, examples, and design reviews
- Support migration towards TypeScript and future Rust components
AI-Assisted Development (≈15%)
- Use Claude Code for efficient development
- Write and refine prompts for code generation
- Review, validate, and harden AI-generated code
- Implement LLM integrations via AWS Bedrock / OpenAI
- Build AI assistants using the skills layer
Required Technical Skills
JavaScript / TypeScript
- 5+ years professional JavaScript experience
- Strong TypeScript, async patterns, modular design
- Clean code practices and modern tooling
Architecture & Cloud
- Microservices and event-driven systems
- Serverless AWS (Lambda, API Gateway, DynamoDB, S3)
- REST APIs, WebSockets, CI/CD
- Infrastructure as Code experience preferred
AI & LLMs
- Hands-on use of Claude Code or similar tools
- Prompt engineering and hallucination mitigation
- Conversational AI and NLP experience
Data
- MongoDB / MongoDB Atlas
- Caching, indexing, and multi-tenant data patterns
Desired skills
- Experience with low-bandwidth or offline-first systems
- Understanding of secure, distributed deployments
- Exposure to healthcare, logistics, or maritime systems
Experience & Education
- 5+ years software development
- 2+ years AWS serverless
- 1+ year AI-assisted development
- Degree in Computer Science or equivalent experience
Personal Attributes
- Strong problem-solving and critical thinking
- Comfortable reviewing AI-generated code
- Clear communicator and reliable team contributor
- Self-driven, detail-oriented, and adaptable
Why join FrontM?
Above-Market Compensation: We believe in rewarding talent, offering a salary package that reflects your skills and potential.
Long-Term Career Growth: As FrontM expands, so will your opportunities. We are committed to helping our team members develop their careers, offering mentorship, learning opportunities, and the chance to take on more responsibility.
Cutting-Edge Technology: Work with the latest in JavaScript frameworks, AI, LLMs, and GPT models, contributing to a platform that’s at the forefront of technological innovation.
Make a Real Impact: This is your chance to work on something that matters—to build solutions that directly improve the quality of life for thousands of people worldwide.

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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.
ROLES AND RESPONSIBILITIES:
You'll work closely with our team to implement best practices, improve our architecture, and create a high-performance engineering culture. Over a 6–9-month period, you'll also immerse yourself in game development, Unity, and C# to become a well-rounded technical leader in the gaming space.
- Drive maximum development velocity through direct involvement in development sprints, ensuring developers work as efficiently and effectively as possible.
- Lead and mentor a team of engineers, fostering a culture of technical excellence and continuous improvement.
- Drive architectural decisions that ensure scalable, maintainable, and high-performance game products.
- Foster a high-performance engineering culture aligned with ambitious goals, accountability, and proactive problem-solving.
- Implement and enforce engineering best practices (e.g., code reviews, testing, documentation) and the adoption of new tools, technologies including AI, and methodologies to optimize team efficiency.
- Transition our team to a high-performance culture aligned with our ambitious, venture-backed goals.
IDEAL CANDIDATE:
- 8+ years of software engineering experience with at least 3+ years in a technical leadership role
- Ability to reasonably estimate and plan tasks and features.
- Strong programming fundamentals and hands-on coding abilities
- Strong grasp of software architecture, TDD, code reviews, and clean coding principles.
- Proficient at profiling games to identify bottlenecks and performance issues.
- Experience building complex, scalable software systems
- Proven track record of driving architectural decisions and technical excellence
- Experience mentoring and developing engineering talent
- Strong problem-solving skills and attention to detail
- Excellent communication skills and ability to explain complex technical concepts
- Experience with agile development methodologies
- Bachelor's degree in computer science, Engineering, or equivalent practical experience
PERKS, BENEFITS AND WORK CULTURE:
- We foster a culture of continuous learning.
- We value talent and the ability for significant self-improvement.
- Honest feedback and transparency across all departments allow for rapid skill development.
- You will have the opportunity to work on an exciting new game development product with complete autonomy.
- Ability to work in a fast-paced environment with minimal supervision
- Experience in Agile development using JIRA, GIT, Confluence.
- 3+ years of Experience in node.js + Express.
- Experience in profiling, debugging & troubleshooting Node.js processes.
- Strong Experience as a backend developer for REST API design.
- Strong knowledge of SQL/NoSQLdatabases like PostgreSQL / MySQL or MongoDB
- Understanding accessibility and security compliance
- Understanding fundamental design principles behind a scalable application.
- User authentication and authorization between multiple systems, servers, and environments.
• Hands on RDBMS experience with Oracle/ PostgreSQL/ MySQL/SQL
Server including transaction management, SQL programming, data
modelling, etc.
• Must have proven track record of logical data modeling and physical
data modeling
• Experienced in using ORM frameworks like Hibernate, etc.
• Basic understanding of NoSQL systems like Redis (Key-Value store),
MongoDB (Document store), Elasticsearch (Search / Document store)
• Design, Development & Deployment of Microservices using Spring
Boot or any other framework.
• Understanding of building EDA-based (Event Driven Architecture)
systems.
• Basic understanding of any public cloud (AWS, Azure, GCP)
• Ability to design & architect a system that exhibits basic
characteristics like modularity, configurability / extensibility, scalability
& availability.
• Maven / Gradle
• Experience in using & configuring Jenkins.
• Experience in using & configuring SonarQube.
Essential Requirements
• Hands-on with Java Platform (1.5 & above) having proficiency in OOPs
concepts, Collections,
• Generics, Streams, Multi-threading (Executor Framework), Functional
Programming.
• Design & Development of REST Web Services (Spring MVC / REST /
Jersey / Apache CXF, etc.)
• Hands-on experience using Spring framework (4.x & above)
• Core / Beans
• MVC / REST
• Security
• Spring Data / JPA
• Spring Test / JUnit
• JMS
Job description –
- To build efficient, effective, testable, and reusable PHP websites
- To oversee and help in the designing of the interface of the website
- To work in a team for the complete enhancement of the look and feel of the websites
- To write code debugging of the codes for the development and enhancement of the websites
- Integration of the user-facing elements developed for the websites
- Ensure the smooth completion of the complete lifecycle of the website viz; Requirement Analysis, Estimating, Design, Implementation, Testing, and Release of the website - Continuous R & D for the better performance of the websites.
Skills Abilities: -
- PHP language coding ability
- Time Management Skill
- Technical Analytical Skill
Experience: -
- Must have at least 3 years of experience in working on Websites built on Laravel and PHP
- Good Command over writing codes in website development
- Experience with HTML, CSS, javascript, PHP and Laravel
rollback End Developer
- Industry TypeAdvertising & Marketing
- Functional AreaEngineering - Software & QA
- Employment Type Full Time, Permanent
- Role CategorySoftware Development Education
- UG: B.Tech/B.E. in Computers
- PG: M.Tech in Computers
Key Skills CSS / CodingTime management / Web development / Debugging / Javascript / PHP / HTML
JD for NodeJS
Mandatory Skills - Nodejs, Javascript, Express.js, MongoDB, Data Structures, Algorithms.
Please find the JD below:-
- Expertise in Node.js Web frameworks like Meteor, Express, and Kraken.JS
- Expertise in building highly scalable web services using Node.js, Create REST API with the help of Node middleware
- Deep understanding of REST and API design
- Experience designing APIs for consistency, simplicity, and extensibility.
- Expertise with JavaScript testing frameworks like Jasmine, Quit, Mocha, Sinnon and Chai.
- Expertise with build tools like Web pack, gulp, and grunt.
- Integration of various application components
- Experience in various phases of Software Development Life Cycle (SDLC) such as requirements analysis, design, and implementation in an agile environment, etc.
About Us :-
Mobile programming LLC is a US based digital transformation company. We help enterprises transform ideas into innovative and intelligent solutions, governing the Internet of Things, Digital Commerce, Business Intelligence Analytics and Cloud Programming. Bring your challenges to us, we will give you the smartest solutions. From conceptualizing and engineering to advanced manufacturing, we help customers build and scale products fit for the global marketplace.
Mobile programming LLC has offices located in Los Angeles, San Jose, Glendale, San Diego, Phoenix, Plano, New York, Fort Lauderdale and Boston. Mobile programming is SAP Preferred Vendor, Apple Adjunct Partner, Google Empaneled Mobile Vendor and Microsoft Gold Certified Partner.
Moreover We have our presence in India with 7 locations i.e Gurgaon, Mohali, Panchkula, Pune, Bangalore, Dehradun & Chennai.
For more information please visit to our website link below:-
https://www.mobileprogramming.com/">https://www.mobileprogramming.com
We are looking for strong Backend developers to join our growing Team and help build Software applications and Tools that help streamline enterprise processes and build efficiency.
Roles & Responsibilities:
-Well versed with Javascript / Typescript, Node.js, Node.js frameworks like Nest.js, express.js, Postgres DB (relational databases), Redis / Memcache, Queues.
- Should be able to deploy code and manage CI/CD pipeline on Microsoft Azure / AWS, GitHub skills.
- Plus points if s/he is versed with JS Unit testing frameworks, Python.
- Work with the development team and product manager to ideate software solutions and document cards on PM tools.
- Design client-side and server-side architecture and explain it well to technical and non-technical audiences.
- Build client and server code that is fast, testable, and high quality.
- Should be testing code thoroughly, we strongly discourage throwing code over the wall.
- Excellent coding, problem-solving, and debugging skills
- You strive to create highly intuitive and responsive products.
- You’re a fast learner, can contribute from day one, and can bring good thoughtful opinions to the table.
- You have an excellent command of written and spoken English and communicate about what you're doing with your coworkers.












