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Job Title : Senior Backend Developer (Node.js + AWS + MongoDB)
Experience : 4+ Years
Location : Andheri, Mumbai (Work From Office)
About the Role :
We are looking for a highly skilled Senior Backend Developer with strong expertise in Node.js (NestJS), AWS, and MongoDB to join our growing engineering team.
This role requires someone who takes ownership, is proactive, and enjoys building scalable, high-performance backend systems in a fast-paced environment.
Key Responsibilities :
- Architect, design, and develop scalable backend services using Node.js (NestJS).
- Design and manage cloud infrastructure on AWS Services (EC2, ECS, RDS, Lambda, etc.).
- Develop and maintain high-performance database solutions using MongoDB.
- Work with Kafka, Docker, and serverless frameworks (SST) for efficient deployments.
- Optimize system performance, scalability, and reliability across services.
- Ensure application security, best practices, and compliance standards.
- Collaborate with cross-functional teams to deliver robust product features.
- Take end-to-end ownership of features from design to deployment.
Technical Requirements :
- 4+ years of backend development experience.
- 3+ years of hands-on experience with Node.js.
- 2+ years of hands-on experience with AWS.
- Strong experience with NestJS framework.
- Solid experience with MongoDB and database design.
- Experience with Kafka, Docker, and serverless architecture.
- Understanding of system design, scalability, and performance optimization.
Good to Have (Bonus Skills) :
- Experience with Python or other backend languages.
- Exposure to Agentic AI use cases or implementations.
- Strong understanding of security best practices.
What We’re Looking For :
- Curious mindset and eagerness to learn new technologies.
- Proactive problem solver with strong ownership attitude.
- Strong team player with effective communication skills.
- Positive, energetic, and passionate about building great systems.
Key Responsibilities
AI Model Development
- Design and implement advanced Generative AI models (e.g., GPT-based, LLaMA, etc.) to support applications across various domains, including text generation, summarization, and conversational agents.
- Utilize tools like LangChain and LlamaIndex to build robust AI-powered systems, ensuring seamless integration with data sources, APIs, and databases.
Backend Development with FastAPI
- Develop and maintain fast, efficient, and scalable FastAPI services to expose AI models and algorithms via RESTful APIs.
- Ensure optimal performance and low-latency for API endpoints, focusing on real-time data processing.
Pipeline and Integration
- Build and optimize data processing pipelines for AI models, including ingestion, transformation, and indexing of large datasets using tools like LangChain and LlamaIndex.
- Integrate AI models with external services, databases, and other backend systems to create end-to-end solutions.
Collaboration with Cross-Functional Teams
- Collaborate with data scientists, machine learning engineers, and product teams to define project requirements, technical feasibility, and timelines.
- Work with front-end developers to integrate AI-powered functionalities into web applications.
Model Optimization and Fine-Tuning
- Fine-tune and optimize pre-trained Generative AI models to improve accuracy, performance, and scalability for specific business use cases.
- Ensure efficient deployment of models in production environments, addressing issues related to memory, latency, and resource management.
Documentation and Code Quality
- Maintain high standards of code quality, write clear, maintainable code, and conduct thorough unit and integration tests.
- Document AI model architectures, APIs, and workflows for future reference and onboarding of team members.
Research and Innovation
- Stay updated with the latest advancements in Generative AI, LangChain, and LlamaIndex, and actively contribute to the adoption of new techniques and technologies.
- Propose and explore innovative ways to leverage cutting-edge AI technologies to solve complex problems.
Required Skills and Experience
Expertise in Generative AI
Strong experience working with Generative AI models, including but not limited to GPT-3/4, LLaMA, or other large language models (LLMs).
LangChain & LlamaIndex
Hands-on experience with LangChain for building language model-driven applications, and LlamaIndex for efficient data indexing and querying.
Python Programming
Proficiency in Python for building AI applications, working with frameworks such as TensorFlow, PyTorch, Hugging Face, and others.
API Development with FastAPI
Strong experience developing RESTful APIs using FastAPI, with a focus on high-performance, scalable web services.
NLP & Machine Learning
Solid foundation in Natural Language Processing (NLP) and machine learning techniques, including data preprocessing, feature engineering, model evaluation, and fine-tuning.
Database & Storage Systems Familiarity with relational and NoSQL databases, data storage, and management strategies for large-scale AI datasets.
Version Control & CI/CD
Experience with Git, GitHub, and implementing CI/CD pipelines for seamless deployment.
Preferred Skills
Containerization & Cloud Deployment
Familiarity with Docker, Kubernetes, and cloud platforms (e.g., AWS, GCP, Azure) for deploying scalable AI applications.
Data Engineering
Experience in working with data pipelines and frameworks such as Apache Spark, Airflow, or Dask.
Knowledge of Front-End Technologies Familiarity with front-end frameworks (React, Vue.js, etc.) for integrating AI APIs with user-facing applications.
Product Manager (Data & Operations)
Experience: 2+ years
Must-Have: Candidate must have prior experience in a product-based company
Role Summary
We are looking for a highly analytical Product Manager to drive business growth through data analysis, operational efficiency, and structured experimentation.
This role will focus on identifying growth opportunities, reducing operational inefficiencies, improving unit economics, and building strong reporting systems across the ecommerce and AI-led product ecosystem.
You will work closely with Engineering, Marketing, Catalog, Operations, Finance, and Data teams to ensure decisions are backed by data and execution is operationally strong.
Key ResponsibilitiesData Analysis & Business Insights
- Own end-to-end funnel analysis (Impressions → CTR → ATC → Checkout → Purchase → Repeat)
- Identify drop-offs, leakages, and revenue gaps using SQL, GA, Clevertap
- Perform cohort analysis (new vs repeat, prepaid vs COD, personalized vs non-personalized users)
- Track and improve core metrics:
- Conversion Rate
- GMV & Revenue
- AOV
- Repeat Rate
- Cancellation & RTO %
- Margin contribution
- Build and maintain weekly/monthly dashboards for leadership visibility
- Translate raw data into clear, actionable insights
Operational Excellence
- Identify operational bottlenecks impacting conversion and fulfillment
- Analyze cancellation drivers & reduce COD RTO risk
- Improve payment success rates and checkout efficiency
- Work with logistics teams to optimize delivery timelines
- Collaborate with catalog & brand teams to improve SKU performance
- Monitor inventory health, sell-through rate, and stock rotation
- Drive pricing and margin optimization initiatives
Experimentation & Performance Improvement
- Run structured A/B tests to improve funnel performance
- Define clear hypotheses, success metrics, and impact measurement
- Analyze experiment results and recommend rollouts
- Build scalable processes for experimentation cadence
Cross-Functional Execution
- Convert insights into PRDs and operational roadmaps
- Partner with engineering for sprint-based delivery
- Align marketing, catalog, and operations on metric ownership
- Ensure every feature launch has measurable business KPIs
Must-Have Skills
- Strong analytical mindset and comfort with large datasets
- Advanced Excel / Google Sheets
- Strong SQL proficiency (mandatory)
- Experience with GA, Clevertap, Mixpanel or similar tools
- Experience working on ecommerce funnels
- Understanding of unit economics (GMV, margins, CAC, LTV)
- Strong problem-solving and structured thinking
Bonus Skills
- Experience in ecommerce marketplace or D2C
- Experience working with logistics, payments, or inventory systems
- Exposure to AI-led recommendation systems
- Experience building business dashboards
What Success Looks Like (First 6 Months)
- Clear dashboard visibility across all core business metrics
- 10–15% improvement in funnel conversion
- Reduction in cancellation & RTO rates
- Improved operational turnaround time
- Data-backed roadmap prioritization
Past experience in working with any product start-up is a plus.
● Proficiency in fundamental front end languages such as HTML, CSS, and JavaScript.
● Familiarity with JavaScript frameworks such as Angular JS, React, and others.
● Knowledge of Node.js and frameworks available for it such as Express (recommended).
● Good understanding of asynchronous request handling, partial page updates, and AJAX
● Understanding of REST Services.
● Experience with Redis.
● Familiarity with database technology such as MySQL, MongoDB and Elasticsearch.
● Proficient understanding of serverless programming.
● Proficient understanding of code versioning tools, such as Git.
● Good problem-solving skills.
● Attention to detail.
Looking for Java Developer| Mumbai to join a team of rockstar developers. The candidate should have a minimum of 4+ yrs. There are multiple openings. If you're looking for career growth & a chance to work with the top 0.1% of developers in the industry, this one is for you! You will report into IIT'ans/BITS grads with 10+ years of development experience + work with F500 companies (our customers)
Company Background - CodeVyasa is a Software Product-Engineering and Development company that helps Early-stage & Mid-Market Product companies with IT Consulting, App Development, and On-demand Tech Resources. Our Journey over the last 3 years has been nothing short of a roller-coaster. Along our way, we've won some of the most prestigious awards while driving immense value to our customers & employees. Here's the link to our website (codevyasa.com). To give you a sense of our growth rate, we've added 70+ employees in the last 6 weeks itself and expect another 125+ by the end of Q1 2024
Requirements:
- Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience).
- Minimum of 4 years of experience as a Java Developer.
- Proficiency in Hibernate development.
- Aptitude for learning new technologies quickly.
- Good problem-solving and analytical skills.
What We Offer:
- Glassdoor rating of 4.8, indicating high employee satisfaction.
- Free healthcare benefits.
- Strong focus on upskilling and professional development opportunities.
- Diverse and inclusive work environment.
- Competitive compensation and benefits package.
- Emphasis on maintaining a healthy work-life balance
- 2 to 3years of professional experience as a Mobile app developer
- Should have had the experience of working with team as well as working directly with customers.
- Hands on experience in anycross platform mobile app development frameworks(React Native preferably, but not mandatory).
- Version control system experience (e.g. Git)
- Excellent communication skills (both verbal as well as written) is a necessity.
- Ability to learn and apply new technologies through self-learning
Responsibilities
- Ensure that theapplicationis optimized for various devices
- Work with other developers to ensure that the website is functional and visually appealing.
- Plan the layout of the applicationto support different device screen size.
- Test application to ensurequalityand efficiency
- Work with Clients directly to resolve issues as well as understand their requirements
Roles & Responsibilities:
The candidate is expected to create and lead a team of engineers and drive dev efforts for
Medibuddy and its various products.
The candidate will be part of the Engineering leadership team (IIT/IIM grads) and will help
strategise, execute product roadmap.
Work closely with Product and business teams to strategize or design the features and
product experiments.
Lead a team of 10+ Engineers [backend and/or mobile]
Responsible for engineering delivery in platform & product engineering pods at Medibuddy.
Scale the technology architecture, team and product to drive a 10x growth in next 12-24
months.
Code and Architect key features that form backbone of DocsApp
Conduct performance reviews and mentor and guide the team reporting
Drive adoption best engineering practices in the team and the organization
- Deliver high quality, scalable and maintainable code at a fast pace.Skills & Qualifications:
- 9+ yrs. relevant experience in consumer tech/ or SaaS space.
- Tier 1 background (IIT/BITS/IIIT/NIT), Pass-out from 2014 batch or earlier.
Strong Technical Background: You have strong programming, architecture, DevOps and QA
chops. You should have experience working with a diverse engineering stack in a fast-paced
environment.
Biased toward action. You must be able to do more with less and turn would-be blockers into
opportunities for growth.
Balancing Short Term with Long Term - You have demonstrated strategic execution
balancing short term tactical execution with long term vision. You should be able to adapt
quickly as per the demands of the situation.
Efficient Execution - You must be persuasive, patient, compassionate and possess exquisite
prioritization skills.
Prior management and team-building experience. You'll be managing several direct reports
initially and will have the opportunity to scale and build out a high-performing engineering
team.
Stakeholder management - You complement product and business owners with finding the
right solutions in a timely manner.
Past entrepreneurial experience is a big plus.
Strong grasp of Nodejs/Python stack
Databases/Datastores : Mysql , Redis / Memcache , MongoDB
- Basic Understanding of Android, iOS, Web Application stacks
- One of SQS, RabbitMQ, SNS
- Familiarity with AWS and its services including RDS, ECS, EBS, Cloudwatch, ELK, Redshift
Nice to have -
Logging : ELK, Cloudwatch.
Frontend : html , css , Javascript
Protocols : HTTP, XMPP, MQTT, Socket.io, TCP
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This job is on Contrecting role Max $70/hr
Java or Scala web developer with 8 to 12 years of experience and strong fundamentals/proficiency in core technologies used for web development - HTML, CSS, JavaScript, Spring and Hibernate (to include relational database experience). -
Object oriented analysis and design patterns using Java/J2EE technologies,
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Knowledge on Spring Framework, MVC architectures, ORM frameworks like Hibernate
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Experience with Restful Web Services, data modeling
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Strong experience in relational database design and development (preferably with Oracle) and understanding of NoSQL databases like HBase, Druid, Solr
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Experience working with event/message-based communication platforms such as Kafka, ActiveMQ etc.,
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Experience working with Hadoop technologies and Spark framework
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Working proficiency in build and development tools (Maven, Gradle, Jenkins)
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Experience with test frameworks like JUnit, Mockito
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Experience in front end development using modern JavaScript frameworks and charting frameworks
• Excellent understanding of machine learning techniques and algorithms, such as SVM, Decision Forests, k-NN, Naive Bayes etc.
• Experience in selecting features, building and optimizing classifiers using machine learning techniques.
• Prior experience with data visualization tools, such as D3.js, GGplot, etc..
• Good knowledge on statistics skills, such as distributions, statistical testing, regression, etc..
• Adequate presentation and communication skills to explain results and methodologies to non-technical stakeholders.
• Basic understanding of the banking industry is value add
Develop, process, cleanse and enhance data collection procedures from multiple data sources.
• Conduct & deliver experiments and proof of concepts to validate business ideas and potential value.
• Test, troubleshoot and enhance the developed models in a distributed environments to improve it's accuracy.
• Work closely with product teams to implement algorithms with Python and/or R.
• Design and implement scalable predictive models, classifiers leveraging machine learning, data regression.
• Facilitate integration with enterprise applications using APIs to enrich implementations









