Ghansoli Navi Mumbai Maharashtra Full stack software engineer Jobs – 448 Open Jobs Today

Full Stack AI and Data Engineer - AWS
Dimensionless Technologies —Vashi, Navi Mumbai, Maharashtra
- ₹20,00,000 - ₹30,00,000 a year
- Full-time
- Salesforce
- Master's degree
- AWS
- Paid time off
- Flexible schedule
Quick apply
5d
software engineer
Broadridge —Andheri East, Mumbai, Maharashtra
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Computer Science
Lead Forward Deployed AI Engineer, India - BCG X
Boston Consulting Group —Mumbai, Maharashtra
- Full-time
- Azure
- SQL
- AWS
Software Engineer (Java and React)
Institutional Shareholder Services —Mumbai, Maharashtra
- Full-time
- Azure
- Computer Science
- DevOps
Technical Lead – JavaScript Full Stack Developer
T7E —Mulund, Mumbai, Maharashtra
- Computer Science
- Engineering
- Bachelor's degree
Full-Stack Software Engineer
PinnacleU —Mumbai, Maharashtra
- ₹15,00,000 - ₹18,00,000 a year
- Full-time
- JavaScript
- SharePoint
- APIs
Quick apply
Full Stack PHP Developer (Frontend/UI Focus – React)
Benchmark Computer Solutions limited —Mumbai, Maharashtra
- ₹7,00,000 - ₹9,00,000 a year
- Full-time
- Computer Science
- Databases
- Bachelor's degree
Quick apply
Software Engineer (Full Stack)
Pivotree —Mumbai, Maharashtra
- Azure
- Computer Science
- Java
Quick apply
Software Engineer - 1
Homeville Consulting —Mumbai, Maharashtra
- Weekend availability
- AWS
- Bachelor's degree
- JavaScript
Software Engineer Head
FG Glass Industries Pvt. Ltd. —Taloja, Navi Mumbai, Maharashtra
- ₹10,00,000 - ₹15,00,000 a year
- Full-time
- Azure
- DevOps
- SQL
- Health insurance
- Cell phone reimbursement
Quick apply
1d
Senior Executive – Full Stack Engineer
Digiveritaz Ai marketing Pvt Ltd —Chembur, Mumbai, Maharashtra
- ₹4,00,000 - ₹6,00,000 a year
- Full-time
- Computer Science
- Analysis skills
- JavaScript
Quick apply
1d
Custom Software Engineer
Accenture —Mumbai, Maharashtra
- Full-time
- Azure
- Master's degree
- SQL
Software Development Engineer
Morningstar —Mumbai, Maharashtra
- Full-time
- Hybrid work
- Computer Science
- Java
- Databases
Engineer - Full-Stack Developer
Nirmal Industrial Controls —Thane District, Maharashtra
- Full-time
- APIs
Full Stack Developer (Analyst), Legal & Compliance Technology
Ares Management —Mumbai, Maharashtra
- Full-time
- Computer Science
- Java
- Master's degree
Software Engineer III
JPMorganChase —Mumbai, Maharashtra
- Full-time
- Windows
- Master's degree
- SQL
2d
Tech & Digital-Sr Software Engineer-Full Stack
HDFC Bank —Navi Mumbai, Maharashtra
- Oracle
- Computer Science
- Software troubleshooting
2d
Forward Deployed Engineer – Retail & AI Solutions.
Stellaspire —Worli, Mumbai, Maharashtra
- Up to ₹45,00,000 a year
- Full-time
- Azure
- Salesforce
- Master's degree
Quick apply
8d
Software Engineer - UI/Java
Institutional Shareholder Services —Mumbai, Maharashtra
- Full-time
- Azure
- Oracle
- Computer Science
Java Developer - Vice President - Software Engineering
Morgan Stanley —Mumbai, Maharashtra
- Full-time
- Computer Science
- B.Sc
- DevOps
3d

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Full Stack AI and Data Engineer - AWS

Dimensionless Technologies
Vashi, Navi Mumbai, Maharashtra

Quick apply

Job details

Permanent | Full-time
₹20,00,000 - ₹30,00,000 a year
5 days ago

Benefits

Paid time off
Flexible schedule
Paid sick time

Qualifications

CI/CD
Law
React
Software deployment
Enterprise Software
SAP
Salesforce
Git
Master's degree
Microservices
AWS
Docker
JavaScript
Terraform
Continuous integration
Back-end development
REST
APIs
ETL
ServiceNow
S3
JSON
DynamoDB
AI
Python

Full job description

Role Overview:

We are looking for a hands-on Full Stack AI & Data Engineer to build production-grade data pipelines, AI agents, and backend services on AWS using a modern pro-code engineering approach.

The ideal candidate should have strong Python and AWS experience, with hands-on exposure to PySpark, AWS Glue, Step Functions, S3, Athena, Amazon Bedrock, AgentCore and Strands, along with the ability to build backend APIs and microservices.

This role is suited for an engineer who enjoys working across Data + AI + Backend stack and can take a solution from design and development through deployment and productionization.

Key Responsibilities:

1. Data Engineering & AWS Pipelines

Design and develop scalable data pipelines for ingesting data from REST APIs, databases, files and other enterprise data sources.
Build data ingestion and transformation workflows using Python, PySpark and AWS Glue.
Orchestrate pipelines using AWS Step Functions and other appropriate AWS services.
Design S3-based data layers for raw, processed and curated data.
Create and maintain Athena/Glue Catalog layers for querying and downstream consumption.

2. Backend & API Development

Design and develop Python-based backend services and REST APIs
Build microservices that can be consumed by AI agents and front-end applications.
Develop integrations with enterprise systems and third-party APIs.
Implement authentication, validation, error handling, logging and monitoring.
Containerize and deploy backend services using appropriate AWS/cloud technologies.

3. AI Agent Development

Design and build AI agents using Amazon Bedrock, AgentCore and Strands.
Develop agents capable of interacting with enterprise data, APIs and backend services.
Implement agent tools/function calling, workflows, context/state management and RAG where appropriate.
Integrate LLMs with enterprise applications and data sources.
Apply appropriate practices for prompt management, evaluation, security, observability and cost optimization.
Develop reusable agent frameworks and components that can support multiple enterprise AI use cases.

4. Pro-Code Engineering & DevOps

Develop solutions using clean, modular, reusable and testable code.
Use Git and CI/CD practices for source control, code reviews and deployments.
Follow configuration-driven development using YAML/JSON and environment-specific configuration.
Have a good understanding of Infrastructure as Code (IaC) and cloud deployment practices.
Terraform experience is preferred, particularly for provisioning and managing AWS infrastructure, but deep Terraform expertise is not mandatory.
Follow enterprise standards around security, secrets management, logging, monitoring and access control.

Required Skills & Qualifications:

Must Have:

Strong hands-on Python development experience.
Strong AWS development experience.
Hands-on experience building data pipelines / ETL processes.
Experience with PySpark and preferably AWS Glue.
Experience with S3 and Athena or equivalent cloud data-lake technologies.
Experience with workflow orchestration such as AWS Step Functions.
Experience developing REST APIs and backend services
Hands-on experience developing LLM/GenAI applications or AI agents.
Experience with Amazon Bedrock.
Exposure to AgentCore and/or Strands is highly desirable.
Strong understanding of Git, software engineering practices and CI/CD.

Good to Have:

Terraform / Infrastructure as Code.
Docker and containerized application deployment.
RAG, vector databases and embeddings.
LLM/AI evaluation and observability.
AWS Lambda, API Gateway, EventBridge or DynamoDB.
React/Next.js or experience integrating backend APIs with front-end applications.
Experience integrating enterprise systems such as Salesforce, SAP, ServiceNow, etc.
Experience with LangChain, LangGraph or similar agent frameworks.

Experience:

5+ years of overall software/data engineering experience, with meaningful hands-on experience in AWS, Python and modern data/AI engineering.
Candidates with strong hands-on experience in AWS + Python + Data Engineering + GenAI/Agentic AI will be preferred over candidates with extensive experience in only one of these areas

Pay: ₹2,000,000.00 - ₹3,000,000.00 per year

Benefits:

Flexible schedule
Paid sick time
Paid time off

Work Location: In person

Quick apply

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full stack software engineer jobs in ghansoli navi mumbai maharashtra

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