Backend Developer

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

Description :

Job Title : Python Engineer- AI Agents & Code Optimization

Experience : 2+ Years

Employment Type : Full-time

Location : Remote

About the Role :

We are looking for a hands-on Software Engineer to build and improve AI agents that work directly on our production code.

Your core responsibility will be to design and evolve a specialized AI agent that deeply understands our codebase and actively helps make it faster, cleaner, simpler, and cheaper to maintain.

This is not a research role. This is real work on real systems with real business impact.

How We Work :

- Business impact first : Cheaper, Faster, Better

- Simple beats complex always

- Small changes, shipped fast

- You own your work end-to-end

- First question is always : Do we even need this?

- Flat team, zero micromanagement

- Decisions can change adaptability matters

- No long PRDs : one clear goal ? discuss ? execute

- Ship, measure, improve, repeat

What You Will Do :

- Build and use AI agents to optimize, refactor, and remove code

- Feed logs, metrics, and performance data back into AI agents

- Profile applications and identify performance bottlenecks

- Optimize SQL queries and database usage

- Improve deployment pipelines and release processes

- Continuously improve internal AI tooling

- Work closely with infrastructure and production systems

Tech You Should Be Comfortable With :

You dont need to be an expert in everything, but you should be comfortable working with :

- Linux CLI (Required)

- Python

- PHP

- SQL (MySQL or MariaDB)

- Shell scripting

- Large Language Models (LLMs)

What Were Looking For :

- 2+ years of software engineering experience (or strong hands-on projects)

- Solid understanding of performance optimization

- Experience cleaning up legacy or messy codebases

- Practical profiling and debugging skills

- Comfortable working close to infrastructure and deployments

- Automation-first mindset

- Ability to explain technical decisions clearly and simply in English

Nice to Have :

- Experience building AI agents

- Exposure to large or long-running systems

- CI/CD or deployment automation experience

When You Join :

- Career Growth : You are expected to grow into a tech lead, entrepreneur, or highly skilled specialist

- Bleeding-Edge Tech : Hands-on experience with alpha/beta software, cutting-edge infrastructure, and top tier hardware

- Global Exposure : Work with a global team and directly with C-level leadership

- Real Impact : Your code directly solves real user problems and moves the company forward

Job Description:

• In depth knowledge of NodeJS, ExpressJS, Mongo DB

• Experience implementing applications using React

• Experience creating front end applications using HTML5, React, Saga

• Hands on experience with JavaScript Development on both client and server-side

• Experience with modern frameworks and design patterns

• Experience in using Github / Bitbucket

• Knowledge of using AWS and deploying applications on AWS

A passionate developer

• Strong working knowledge of OOPS
• Functional programming principles
• Strong believer of Clean Code practices
• An advocate of TDD, BDD, SOLID, CI/CD, Lean development
  
  You’ll easily settle in if:
  You come from a strong Java/J2EE background with web application frameworks like Spring Boot or Drop wizard
  You have ample work experience in Caching, Multi-Threading, Asynchronous APIs, Exception Management and use of collections, Mocking, Unit testing tools like Junit & TestNG"
  You are fluent with version control tools like GIT and Bitbucket
   Experience with Continuous Integration, Continuous Deployment, Static Code Analysis, Jenkins and SonarQube
  Willingness to take ownership of the technical solution and ensure technical expectations of deliverables are met.
   Exposure to AWS/Azure cloud and containerization
  Have a good Understanding of Distributed Application Architecture.
  You ‘ll love:
  Awesome opportunity to work with Micro Services architecture getting shipped on Cloud.
  Experience in working with automated build deploy powered by Code Analysis, Automated Tests, Functional and Nonfunctional analysis, Blue Green deployment and much more
   First-hand experience on broader enterprise application concerns like Message Bus, Queues, Caches, Concurrency and Parallelization

Appristine Technologies. We are based in Pune and we are hiring for the following role.

1. PHP Developer – 2+ Years Exp.

Skill:-

• Strong skill level in PHP
• Intermediate skill level in HTML and CSS
• Intermediate skill level in JavaScript or JQuery
• Intermediate skill level in at least one server-side language (i.e. Java, Python, etc)
• Intermediate skill level with relational database systems (i.e. PostgreSQL, MySQL, etc)
• Intermediate skill level with a source control software (i.e. Git, SVN, etc)
• Good understanding of UI/UX design principles
• Strong technical and non-technical communication skills
• Good understanding of object-oriented programming

We are looking for an experienced engineer with superb technical skills. You will primarily be responsible for architecting and building large scale data pipelines that delivers AI and Analytical solutions to our customers. The right candidate will enthusiastically take ownership in developing and managing a continuously improving, robust, scalable software solutions. The successful candidate will be curious, creative, ambitious, self motivated, flexible, and have a bias towards taking action. As part of the early engineering team, you will have a chance to make a measurable impact in future of Thinkdeeply as well as having a significant amount of responsibility.

Although your primary responsibilities will be around back-end work, we prize individuals who are willing to step in and contribute to other areas including automation, tooling, and management applications. Experience with or desire to learn Machine Learning a plus.

Experience

12+ Years

Location

Hyderabad

Skills

Bachelors/Masters/Phd in CS or equivalent industry experience

10+ years of industry experience in java related frameworks such as Spring and/or Typesafe

Experience with scripting languages. Python experience highly desirable. 5+ Industry experience in python

Experience with popular modern web frameworks such as Spring boot, Play framework, or Django

Demonstrated expertise of building and shipping cloud native applications

Experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka, ELK Stack, Fluentd

Experience in API development using Swagger

Strong expertise with containerization technologies including kubernetes, docker-compose

Experience with cloud platform services such as AWS, Azure or GCP.

Implementing automated testing platforms and unit tests

Proficient understanding of code versioning tools, such as Git

Familiarity with continuous integration, Jenkins

Responsibilities

Architect, Design and Implement Large scale data processing pipelines

Design and Implement APIs

Assist in dev ops operations

Identify performance bottlenecks and bugs, and devise solutions to these problems

Help maintain code quality, organization, and documentation

Communicate with stakeholders regarding various aspects of solution.

Mentor team members on best practices