Java Development Engineer

Strong Backend Software Engineer Profile with strong Core Java expertise

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Mandatory (Experience 1): Must have 2+ years of hands-on backend software engineering experience.

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Mandatory (Experience 2): Must be able to design and implement moderately complex features with minimal supervision, and contribute to system design and architecture discussions.

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Mandatory (Experience 3): Must be comfortable owning business-critical production components — maintaining connectors, handling customer escalations, security fixes, bug fixes, and building new features end-to-end.

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Mandatory (Tech skill 1): Must have strong, current Core Java depth with solid, clear coding fundamentals — Java is the primary skill for this role. Deep hands-on core engineering strength matters more than framework knowledge.

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Mandatory (Tech skill 2): Must have strong core backend engineering fundamentals and experience with scalable systems (connectors handle millions of events/data points daily across customers).

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Mandatory (Tech skill 3): Must have microservices experience.

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Mandatory (AI Fluency 1): Must have demonstrated, hands-on use of AI coding assistants (Claude, GitHub Copilot, Cursor, etc.) as a core part of the daily workflow — scaffolding, writing tests, reviewing code, and debugging.

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Mandatory (AI Fluency 2): Must be able to write precise, effective prompts for production-quality output, decompose tasks so AI assistance is effective, and critically evaluate AI-generated code for correctness, security, and standards before merging.

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Mandatory (Company): Must come from a product company background (B2B SaaS or B2C both acceptable).

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Mandatory (Note1): This is a 3-month contract role. Candidate must be comfortable with the contract engagement and able to join immediately (urgent — onboarding within ~a week)

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Mandatory (Note 2): Must be based in or near Chennai, Bangalore, or Ahmedabad (Chennai: hybrid, Tue & Thu in office)

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Preferred (Backend): Hands-on Python experience is a plus.

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Preferred (Database): Hands-on database / JDBC integration experience in a production environment.

The candidate should have extensive experience in designing and developing scalable data pipelines and real-time data processing solutions. As a key member of the team, the Senior Data Engineer will play a critical role in building end-to-end data workflows, supporting machine learning model deployment, and driving MLOps practices in a fast-paced, agile environment. Strong expertise in Apache Kafka, Apache Flink, AWS SageMaker, and Terraform is essential. Additional experience with infrastructure automation and CI/CD for ML models is a significant advantage.

Key Responsibilities

1. Design, develop, and maintain high-performance ETL and real-time data pipelines using Apache Kafka and Apache Flink.
2. Build scalable and automated MLOps pipelines for training, validation, and deployment of models using AWS SageMaker and associated services.
3. Implement and manage Infrastructure as Code (IaC) using Terraform to provision and manage AWS environments.
4. Collaborate with data scientists, ML engineers, and DevOps teams to streamline model deployment workflows and ensure reliable production delivery.
5. Optimize data storage and retrieval strategies for large-scale structured and unstructured datasets.
6. Develop data transformation logic and integrate data from various internal and external sources into data lakes and warehouses.
7. Monitor, troubleshoot, and enhance performance of data systems in a cloud-native, fast-evolving production setup.
8. Ensure adherence to data governance, privacy, and security standards across all data handling activities.
9. Document data engineering solutions and workflows to facilitate cross-functional understanding and ongoing maintenance.

• Bachelor's degree in Computer Science or related field or equivalent experience
• 2+ years of Full Stack development experience using NodeJs
• Knowledge of relational databases (PostgreSQL, MySQL, etc. )
• Experience designing and developing REST APIs
• Strong analytical and communication skills
• Eager to learn new technologies
• Strong fundamental knowledge of object-oriented programming, data structures, algorithms, and performance
• Hands-on experience with agile practices, including coding standards, reviews, build process, testing, and code control management.

• Infrastructure experience including AWS, Jenkins, Docker, Kubernetes and CI/CD configuration and deployment is ideal.
• Our development team is looking for an experienced full-time Full Stack Developer to join our fast-growing organization.
• As part of the development team, you will be maintaining, enhancing, designing, developing, testing, and documenting on both the client and server-side of our products.
• The ideal candidate is an innovative problem solver, who has excellent communication and teamwork skills.
• NodeJS, React JS
• Docker, AWS

Job Description for NodeJS/Backend Developer (2 - 4 years experience ) :

Responsibilities:

1. Writing reusable, efficient code.
2. Implementation of security and data protection.
3. Development and design of high performant APIs and implementing server side logic.
4. User authentication, DB Schema design etc.

Skills and Qualifications:

1. Javascript
2. Typescript
3. Object oriented programming
4. Express and Mongo DB.
5. AWS and basic devOps

Other Tools:
1. Git and other development tools.