11+ Swing (Java) Jobs in Hyderabad | Swing (Java) Job openings in Hyderabad

Who We Are

At Sonatype, we help organizations build better, more secure software by enabling them to understand and control their software supply chains. Our products are trusted by thousands of engineering teams globally, providing critical insights into dependency health, license risk, and software security. We’re passionate about empowering developers—and we back it with data.

The Opportunity

We’re looking for a Data Engineer with full stack expertise to join our growing Data Platform team. This role blends data engineering, microservices, and full-stack development to deliver end-to-end services that power analytics, machine learning, and advanced search across Sonatype.

You will design and build data-driven microservices and workflows using Java, Python, and Spring Batch, implement frontends for data workflows, and deploy everything through CI/CD pipelines into AWS ECS/Fargate. You’ll also ensure services are monitorable, debuggable, and reliable at scale, while clearly documenting designs with Mermaid-based sequence and dataflow diagrams.

This is a hands-on engineering role for someone who thrives at the intersection of data systems, fullstack development, ML, and cloud-native platforms.

What You’ll Do

• Design, build, and maintain data pipelines, ETL/ELT workflows, and scalable microservices.
• Development of complex web scraping (Playwright) and realtime pipelines (Kafka/Queues/Flink).
• Develop end-to-end microservices with backend (Java 5+, Python 5+, Spring Batch 2+) and frontend (React or any).
• Deploy, publish, and operate services in AWS ECS/Fargate using CI/CD pipelines (Jenkins, GitOps).
• Architect and optimize data storage models in SQL (MySQL, PostgreSQL) and NoSQL stores.
• Implement web scraping and external data ingestion pipelines.
• Enable Databricks and PySpark-based workflows for large-scale analytics.
• Build advanced data search capabilities (fuzzy matching, vector similarity search, semantic retrieval).
• Apply ML techniques (scikit-learn, classification algorithms, predictive modeling) to data-driven solutions.
• Implement observability, debugging, monitoring, and alerting for deployed services.
• Create Mermaid sequence diagrams, flowcharts, and dataflow diagrams to document system architecture and workflows.
• Drive best practices in fullstack data service development, including architecture, testing, and documentation.

What We’re Looking For

• 5+ years of experience as a Data Engineer or a Software Backend engineering role.
• Strong programming skills in Python, Scala, or JavaHands-on experience with HBase or similar NoSQL columnar stores.
• Hands-on experience with distributed data systems like Spark, Kafka, or Flink.
• Proficient in writing complex SQL and optimizing queries for performance.
• Experience building and maintaining robust ETL/ELT pipelines in production.
• Familiarity with workflow orchestration tools (Airflow, Dagster, or similar).
• Understanding of data modeling techniques (star schema, dimensional modeling, etc.).
• Familiarity with CI/CD pipelines (Jenkins or similar).
• Ability to visualize and communicate architectures using Mermaid diagrams.

Bonus Points

• Experience working with Databricks, dbt, Terraform, or Kubernetes
• Familiarity with streaming data pipelines or real-time processing
• Exposure to data governance frameworks and tools
• Experience supporting data products or ML pipelines in production
• Strong understanding of data privacy, security, and compliance best practices

Why You’ll Love Working Here

• Data with purpose: Work on problems that directly impact how the world builds secure software
• Modern tooling: Leverage the best of open-source and cloud-native technologies
• Collaborative culture: Join a passionate team that values learning, autonomy, and impact

Required Skills & Experience:

Core Technical:

• 5–10 years of experience with Java (strong command of core Java & concurrency).
• Deep understanding of:
• Threads, locks, synchronization
• NIO, socket programming
• File I/O, persistence, journaling
• JVM memory model
• Experience debugging distributed or messaging systems.

Messaging & Protocols :

• Experience with JMS or other message brokers (Kafka, RabbitMQ, ActiveMQ, EMS).
• Understanding of message delivery semantics (ACK, transactions, redelivery, selectors).
• Familiarity with wire protocols (OpenWire, STOMP, MQTT) or similar protocol stacks.

Debugging & Problem Solving :

• Strong ability to read, understand, and extend large legacy Java codebases.
• Experience diagnosing performance bottlenecks or production failures.
• 
  

Open Source Mindset :

• Prior open-source contribution is a strong advantage.
• Good written communication skills for interacting with the Apache community.

A B.Tech/M.Tech in Computer Sc, a SDE should have 1-3 years of experience in SW solution development. We are specifically looking for a SDE who:

• is highly proficient in Java Coreand Spring boot applications including making high quality, highly performing code under JVM environment. 
• has good working knowledge in design of n-Tier databases (Postgres, NoSQL DBs e.g. Cassandra/MongoDB)
• has worked in agile development environment under open source gitlab including testing, change management
• is highly proficient in OOD, extensibility, usability, understand data pre-processing
• has exposure to full life cycle of product implementation and deployment of enterprise products driving a subsystem including development under gitlab or github.
• [Desirable] Ability to optimize an ML solution for accuracy and scale
• [Desirable] has experience in working with Advanced Java

Responsibilities for Staff Engineer role:

• Having experience in Java along with Springboot, Micorservices, RDBMS
• Experience required: 6yrs to 8 yrs.

• Java
• Springboot
• REST API
• Microservices

Software Development Engineer – SDE 2.            

As a Software Development Engineer at Amazon, you have industry-leading technical abilities and demonstrate breadth and depth of knowledge. You build software to deliver business impact, making smart technology choices. You work in a team and drive things forward.

 Top Skills

You write high quality, maintainable, and robust code, often in Java or C++ or C#

You recognize and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations.

You have experience building scalable software systems that are high-performance, highly-available, highly transactional, low latency and massively distributed.

Roles & Responsibilities

You solve problems at their root, stepping back to understand the broader context.

You develop pragmatic solutions and build flexible systems that balance engineering complexity and timely delivery, creating business impact.

You understand a broad range of data structures and algorithms and apply them to deliver high-performing applications.

You recognize and use design patterns to solve business problems.

You understand how operating systems work, perform and scale.

You continually align your work with Amazon’s business objectives and seek to deliver business value.

You collaborate to ensure that decisions are based on the merit of the proposal, not the proposer.

You proactively support knowledge-sharing and build good working relationships within the team and with others in Amazon.

You communicate clearly with your team and with other groups and listen effectively.

Skills & Experience

Bachelors or Masters in Computer Science or relevant technical field.

Experience in software development and full product life-cycle.

Excellent programming skills in any object-oriented programming languages - preferably Java, C/C++/C#, Perl, Python, or Ruby.

Strong knowledge of data structures, algorithms, and designing for performance, scalability, and availability.

Proficiency in SQL and data modeling.

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