Backend SDE3 Engineer

Job Description

      The ideal candidate will possess expertise in Core Java (at least Java 8), Spring framework, JDBC, threading, database management, and cloud platforms such as Azure and GCP. The candidate should also have strong debugging skills, the ability to understand multi-service flow, experience with large data processing, and excellent problem-solving abilities.

JD:

1. Develop, and maintain Java applications using Core Java, Spring framework, JDBC, and threading concepts.
2. Strong understanding of the Spring framework and its various modules.
3. Experience with JDBC for database connectivity and manipulation
4. Utilize database management systems to store and retrieve data efficiently.
5. Proficiency in Core Java8 and thorough understanding of threading concepts and concurrent programming.
6. Experience in in working with relational and nosql databases.
7. Basic understanding of cloud platforms such as Azure and GCP and gain experience on DevOps practices is added advantage.
8. Knowledge of containerization technologies (e.g., Docker, Kubernetes)
9. Perform debugging and troubleshooting of applications using log analysis techniques.
10. Understand multi-service flow and integration between components.
11. Handle large-scale data processing tasks efficiently and effectively.
12. Hands on experience using Spark is an added advantage.
13. Good problem-solving and analytical abilities.
14. Collaborate with cross-functional teams to identify and solve complex technical problems.
15. Knowledge of Agile methodologies such as Scrum or Kanban
16. Stay updated with the latest technologies and industry trends to improve development processes continuously and methodologies.

Company: Grey Chain AI

Location: Remote

Experience: 7+ Years

Employment Type: Full Time

About the Role

We are looking for a Senior Python AI Engineer who will lead the design, development, and delivery of production-grade GenAI and agentic AI solutions for global clients. This role requires a strong Python engineering background, experience working with foreign enterprise clients, and the ability to own delivery, guide teams, and build scalable AI systems.

You will work closely with product, engineering, and client stakeholders to deliver high-impact AI-driven platforms, intelligent agents, and LLM-powered systems.

Key Responsibilities

• Lead the design and development of Python-based AI systems, APIs, and microservices.
• Architect and build GenAI and agentic AI workflows using modern LLM frameworks.
• Own end-to-end delivery of AI projects for international clients, from requirement gathering to production deployment.
• Design and implement LLM pipelines, prompt workflows, and agent orchestration systems.
• Ensure reliability, scalability, and security of AI solutions in production.
• Mentor junior engineers and provide technical leadership to the team.
• Work closely with clients to understand business needs and translate them into robust AI solutions.
• Drive adoption of latest GenAI trends, tools, and best practices across projects.
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Must-Have Technical Skills

• 7+ years of hands-on experience in Python development, building scalable backend systems.
• Strong experience with Python frameworks and libraries (FastAPI, Flask, Pydantic, SQLAlchemy, etc.).
• Solid experience working with LLMs and GenAI systems (OpenAI, Claude, Gemini, open-source models).
• Good experience with agentic AI frameworks such as LangChain, LangGraph, LlamaIndex, or similar.
• Experience designing multi-agent workflows, tool calling, and prompt pipelines.
• Strong understanding of REST APIs, microservices, and cloud-native architectures.
• Experience deploying AI solutions on AWS, Azure, or GCP.
• Knowledge of MLOps / LLMOps, model monitoring, evaluation, and logging.
• Proficiency with Git, CI/CD, and production deployment pipelines.

Leadership & Client-Facing Experience

• Proven experience leading engineering teams or acting as a technical lead.
• Strong experience working directly with foreign or enterprise clients.
• Ability to gather requirements, propose solutions, and own delivery outcomes.
• Comfortable presenting technical concepts to non-technical stakeholders.

What We Look For

• Excellent communication, comprehension, and presentation skills.
• High level of ownership, accountability, and reliability.
• Self-driven professional who can operate independently in a remote setup.
• Strong problem-solving mindset and attention to detail.
• Passion for GenAI, agentic systems, and emerging AI trends.

Why Grey Chain AI

Grey Chain AI is a Generative AI-as-a-Service and Digital Transformation company trusted by global brands such as UNICEF, BOSE, KFINTECH, WHO, and Fortune 500 companies. We build real-world, production-ready AI systems that drive business impact across industries like BFSI, Non-profits, Retail, and Consulting.

Here, you won’t just experiment with AI — you will build, deploy, and scale it for the real world.

About the Role

We're seeking a skilled Java Developer with strong AWS cloud experience to join our

solution architecture team. You'll be building scalable backend systems, integrating diverse

enterprise platforms, and developing cloud-native solutions for clients across government,

agriculture, and manufacturing sectors.

Key Responsibilities

Application Development

• Design and develop robust Java-based backend services and APIs for enterprise

applications

• Build microservices architectures for cloud-native deployments on AWS

• Implement RESTful APIs and SOAP web services for enterprise integration

• Develop serverless applications using AWS Lambda and event-driven architectures

• Create data processing pipelines using AWS services

AWS Cloud Development

• Deploy and manage applications on AWS infrastructure (EC2, ECS, EKS)

• Implement serverless solutions using Lambda, API Gateway, and Step Functions

• Design and implement storage solutions using S3, EBS, and EFS

• Work with AWS databases (RDS, Aurora, DynamoDB)

• Implement messaging and queuing using SQS, SNS, and EventBridge

• Configure and manage application monitoring using CloudWatch

System Integration

• Design and implement integration solutions connecting disparate enterprise systems

• Build adapters and connectors for third-party APIs, legacy systems, and SaaS

platforms

• Implement enterprise integration patterns (message routing, transformation,

orchestration)

• Develop middleware solutions using AWS integration services

• Handle data synchronization, format transformations (XML, JSON, CSV), and

protocol conversions

Database & Performance

• Design and optimize database schemas for AWS RDS (PostgreSQL, MySQL) and

Aurora

• Write efficient SQL queries, stored procedures, and optimize database performance

• Implement caching strategies using AWS ElastiCache (Redis/Memcached)

• Configure database connection pooling and manage high-availability setups

• Troubleshoot database bottlenecks and resolve concurrency issues

Security & DevOps

• Implement AWS security best practices (IAM, Security Groups, KMS)

• Build CI/CD pipelines using AWS CodePipeline, CodeBuild, and CodeDeploy

• Configure application auto-scaling and load balancing

Quality & Best Practices

• Write clean, maintainable code following SOLID principles and design patterns

• Implement comprehensive unit and integration testing

• Participate in code reviews and technical design discussions

• Document technical specifications, API contracts, and AWS architecture diagrams

Required Skills & Experience

Core Java Expertise

• 3-5 years of hands-on Java development experience (Java 11+ preferred)

• Strong understanding of OOP concepts, data structures, and algorithms

• Experience with Spring Framework (Spring Boot, Spring MVC, Spring Data JPA)

• Proficiency in building RESTful and SOAP web services

AWS Cloud Experience (Must Have)

• 2+ years of hands-on AWS experience with production deployments

• Strong knowledge of core AWS services: EC2, S3, RDS, Lambda, API Gateway

• Experience with AWS networking: VPC, subnets, security groups, load balancers

• Understanding of AWS IAM, security best practices, and compliance

• Experience with AWS monitoring and logging (CloudWatch, X-Ray)

• Knowledge of AWS messaging services (SQS, SNS, EventBridge)

• Familiarity with AWS database services (RDS, Aurora, DynamoDB)

Integration Experience

• Experience with enterprise integration patterns and middleware solutions

• Knowledge of API design, development, and management

• Understanding of authentication/authorization mechanisms (OAuth2, JWT, SAML)

• Experience with data transformation and mapping frameworks

• Familiarity with integration protocols (HTTP/S, FTP/SFTP, SMTP, JMS)

Database Skills

• Strong SQL skills with relational databases (PostgreSQL, MySQL preferred)

• Experience with JPA/Hibernate ORM frameworks

• Understanding of database connection pooling and transaction management

• Knowledge of database migrations and versioning tools (Flyway/Liquibase)

Technical Stack

• Build tools: Maven or Gradle

• Version control: Git

• API documentation: Swagger/OpenAPI

• Testing frameworks: JUnit, Mockito, TestNG

• Containerization: Docker (experience with ECS/EKS is a plus)

Must have

• Proven usage of Agentic AI Tools in SDLC

Bonus Skills

• AWS Certifications (Developer)

• Experience with message brokers (Kafka, RabbitMQ, ActiveMQ, Amazon MSK)

• Kubernetes and container orchestration (EKS)

• AWS serverless application development (SAM, Serverless Framework)

• Experience with Apache Camel, MuleSoft, or other integration platforms

• CI/CD tools (Jenkins, GitLab CI, GitHub Actions, AWS CodePipeline)

• Knowledge React/Angular technologies for full-stack collaboration

• Experience with ERP/CRM systems integration

Desired Attributes

• Strong problem-solving and analytical thinking abilities

• Ability to design cloud-native architectures following AWS Well-Architected

Framework

• Good communication skills for interacting with clients and cross-functional teams

• Self-motivated with ability to work independently and in team environments

• Attention to detail and commitment to delivering quality solutions

• Cost-conscious approach to AWS resource utilization

Education

• Bachelor's or Master's degree in Computer Science, Information Technology, or

related field

• Equivalent practical experience will be considered

• AWS certifications are highly valued

Requirements:

• Energetic self-starter, with a desire to work in a startup environment.
• Proficient in advanced Java programming skills.
• Expert in Application development cloud/on premise end to end. Middle layer, DB layer.
• Nice to have understanding on MQ and DB
• Good hands on in Complex Event Processing systems.
• Solved scale and performance issues while dealing with huge sets of data. Pre compute or data aggregation frameworks to achieve good response time.
• Real world experience working with large datasets and NoSQL database technologies
• Experience of debugging applications running on Unix like systems (e.g. Ubuntu, CentOS)
• Experience developing RESTful APIs for complex data sets
• Knowledge of container based development & deployment (e.g. Dockers, rkt)
• Expertise in software security domain, a plus

Requirements:

• Experience in Enterprise Java building restful microservices
• Strong Exposure to any of the Java Enterprise frameworks such as Spring, Vert. x, Quarkus or others
• Good exposure to databases such as PostgreSQL, MongoDB etc
• Good analytical and problem-solving capabilities along with excellent communication skills.
• Any exposure to UI programming using REACT JS or AngularJS is a plus
• Preferred candidate who can join in 15 days or max 30 days.