Senior Full Stack Developers & Data Engineers

Orcapod Consulting Services; Mumbai, Chennai District, Bengaluru; On-site; INR 2,600,000 - 4,200,000; Full time

Job summary

Orcapod Consulting Services is seeking Senior Full Stack Developers and Data Engineers with hands-on AWS experience. The role involves building scalable APIs, data pipelines, and AI-driven automation across cloud-native architectures.

You will work on frontend frameworks (React/Angular/Vue) and backend stacks (Python/Node.js/Java) while embracing CI/CD, containers, and infrastructure as code. You will contribute to enterprise-grade web applications, distributed systems, and AI-powered automation

Qualifications

• 6+ years of experience in Full Stack Development, Data Engineering, or Cloud Engineering.
• Experience building scalable APIs, microservices, and enterprise-grade web applications.
• Strong hands-on experience with AWS services and modern front-end technologies.
• Knowledge of AI-driven workflow orchestration platforms and LLMs.

Responsibilities

• Develop and maintain full-stack applications with scalable architectures.
• Design and implement data pipelines, data lakes and data warehouses on AWS.
• Build AI-enabled automation workflows and integrate AI services with enterprise apps.
• Collaborate with cross-functional teams to deliver robust software solutions.

Skills

Python

Node.js

Java

Microservices

APIs

Front-end frameworks

Data processing

Tools

AWS Lambda

ECS / EKS

API Gateway

Step Functions

S3

RDS / Aurora

DynamoDB

Glue

Athena

EventBridge

CloudWatch

IAM

React

Angular

Vue.js

Git

CI/CD

Docker

Kubernetes

Terraform

CloudFormation

Job description

We are looking for strong Senior Full Stack Developers & Data Engineers with immediate to 15days np.

Role & responsibilities

AWS Cloud Expertise

Strong hands-on experience with the following AWS services:

• AWS Lambda
• ECS / EKS
• API Gateway
• Step Functions
• Amazon S3
• Amazon RDS / Aurora
• DynamoDB
• AWS Glue
• Amazon Athena
• Amazon EventBridge
• Amazon CloudWatch
• AWS IAM

Full Stack Development

• Strong experience with modern front-end technologies such as React, Angular, or Vue.js.
• Expertise in backend development using Python, Node.js, Java, or similar technologies.
• Proven experience building scalable APIs, microservices, and enterprise-grade web applications.
• Strong understanding of software design patterns and distributed architectures.

Agentic AI & Workflow Automation

• Experience building AI-driven workflow orchestration platforms, autonomous agents, or business process automation solutions.
• Knowledge of Large Language Models (LLMs), RAG (Retrieval-Augmented Generation) architectures, and orchestration frameworks.
• Experience integrating AI services with enterprise applications and APIs.
• Understanding of agent frameworks and AI automation patterns.

Data Engineering

• Advanced SQL skills including:
  • Complex joins
  • Query optimization
  • Performance tuning
  • Window functions
  • Large-scale data processing
• Experience with:
  • Data pipelines
  • Data lakes
  • Data warehouses
  • Data transformation frameworks
• Hands-on experience with AWS Glue, Athena, EMR, Redshift, or equivalent technologies.

Programming & DevOps

• Strong proficiency in Python for backend services, workflow automation, orchestration, and data processing.
• Experience with:
  • Git
  • CI/CD pipelines
  • Docker
  • Kubernetes
  • Terraform or AWS CloudFormation
• Strong testing discipline, including:
  • Unit testing
  • Integration testing
  • Automated regression testing

Data Modeling

• Experience designing dimensional models, including:
  • Star Schema
  • Snowflake Schema
• Knowledge of:
  • Slowly Changing Dimensions (SCDs)
  • Data Governance
  • Metadata Management
• Familiarity with semantic layer design and analytical data structures.

Preferred Qualifications

• Experience with Generative AI platforms such as:
  • Amazon Bedrock
  • OpenAI
  • Anthropic
  • Azure OpenAI
• Knowledge of vector databases and semantic search architectures.
• Experience with workflow orchestration platforms such as:
  • Apache Airflow
  • Temporal
  • LangGraph
  • CrewAI
  • Similar agentic workflow frameworks
• Familiarity with event-driven and distributed system architectures.
• Experience designing enterprise-scale AI automation and operational intelligence platforms.
• Strong understanding of modern AI engineering and MLOps practices.

Preferred Experience

• 6+ years of experience in Full Stack Development, Data Engineering, or Cloud Engineering.
• Experience building enterprise-scale platforms in cloud environments.
• Prior exposure to AI-powered applications, automation platforms, and intelligent workflow solutions.
• Experience working in Agile development environments.