Java SE/SSE

Role & Responsibilities

We are looking for a hands-on Camunda Developer with strong experience in workflow orchestration and backend development. The ideal candidate should be able to design, build, and optimize end-to-end business processes using Camunda (preferably Camunda 8) and work closely with engineering and business teams to implement scalable and resilient workflows.

Key Responsibilities:

• Translate business requirements into BPMN workflows using Camunda (preferably Camunda 8)
• Design and implement end-to-end process orchestration across systems
• Build and manage service integrations (REST APIs, event-driven systems)
• Develop and maintain Zeebe workers / microservices (Python)
• Collaborate with stakeholders to refine workflows and handle edge cases
• Implement error handling, retries, and compensation mechanisms
• Analyse and improve workflows for scalability, reliability, and performance
• Ensure data consistency and idempotent process execution
• Work with cross-functional teams including data and analytics for process observability

Ideal Candidate

• Strong Senior Camunda Developer / Workflow Orchestration Engineer Profiles
• Mandatory (Experience 1) – Must have 4+years of hands-on experience in backend development and workflow systems, demonstrable through production-grade work on business process automation or backend service development.
• Mandatory (Experience 2) – Must have strong hands-on experience with Camunda and BPMN 2.0, including designing, building, and deploying end-to-end business process workflows in production.
• Mandatory (Experience 3) – Must have hands-on experience with Zeebe workers and the Camunda 8 stack, built and maintained as part of real orchestration systems.
• Mandatory (Experience 4) – Must have strong production-level coding skills in Python, used for building and maintaining Zeebe workers and microservices.
• Mandatory (Experience 5) – Must have experience designing and working within microservices architecture and distributed systems, with clear understanding of service decomposition, inter-service communication, and distributed system failure modes.
• Mandatory (Experience 6) – Must have hands-on experience building and consuming REST APIs and working with event-driven systems (message brokers, pub/sub, event streams).
• Mandatory (Skills) – Must have strong debugging and problem-solving skills in production workflow environments, with specific examples of resolving complex issues such as stuck processes, race conditions, or data inconsistency bugs.
• Preferred (Experience 1) – Exposure to cloud platforms (AWS / GCP / Azure) and experience with data platforms (e.g., Snowflake).
• Preferred (Experience 2) – Understanding of finance-related workflows (billing, reconciliation, etc.).

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.

Strong Full stack/Backend engineer profile

Mandatory (Experience): Must have 2+ years of hands-on experience as a full stack developer (backend-heavy)

Mandatory (Backend Skills): Must have 1.5+ strong experience in Python, building REST APIs, and microservices-based architectures

Mandatory (Frontend Skills): Must have hands-on experience with modern frontend frameworks (React or Vue) and JavaScript, HTML, and CSS

Mandatory (Database Skills): Must have solid experience working with relational and NoSQL databases such as MySQL, MongoDB, and Redis

Mandatory (Cloud & Infra): Must have hands-on experience with AWS services including EC2, ELB, AutoScaling, S3, RDS, CloudFront, and SNS

Mandatory (DevOps & Infra): Must have working experience with Linux environments, Apache, CI/CD pipelines, and application monitoring

Mandatory (CS Fundamentals): Must have strong fundamentals in Data Structures, Algorithms, OS concepts, and system design

Mandatory (Company) : Product companies (B2B SaaS preferred)

Mandatory (Stability): Must have atleast 2 years of experience in each of the previous companies (if less exp, then proper reason)

We're Hiring: Senior Developer (AI & Machine Learning)** 🚀

🔧 **Tech Stack**: Python, Neo4j, FAISS, LangChain, React.js, AWS/GCP/Azure

🧠 **Role**: AI/ML development, backend architecture, cloud deployment

🌍 **Location**: Remote (India)

💼 **Experience**: 5-10 years

If you're passionate about making an impact in EdTech and want to help shape the future of learning with AI, we want to hear from you!

Location: Pan India (Hyderabad / Chennai preferred)

Responsibilities

• Develop and maintain SOA-based process applications using JBPM.
• Define and model business processes using BPMN 2.0 on a BPM platform.
• Write clean, efficient, and maintainable code, ensuring best practices in configuration management and code refactoring.
• Collaborate with cross-functional teams to define and implement solutions to business process needs.
• Perform code reviews, troubleshoot issues, and provide innovative solutions.
• Work on UI development and integrate with backend systems.
• Deploy and maintain applications on servers like WebLogic, WebSphere, Apache Tomcat, or Jetty.
• Stay updated with new technologies and tools to improve development efficiency.

Key Requirements

• 4+ years of professional experience in building applications.
• Strong development experience with BPM engines, specifically JBPM (mandatory).
• Hands-on experience in SOA-based process applications.
• Proficient in Java, JSP, Servlets, SQL, and frameworks like Struts/Spring/Hibernate/MyBatis.
• Knowledge of HTML5, CSS, JavaScript languages.
• Familiarity with BPMN 2.0 and querying BPM APIs.
• Experience with application servers like WebLogic, WebSphere, Apache Tomcat, or Jetty.
• Strong problem-solving skills and excellent communication abilities.

Basic Qualifications:

• 2+ years of non-internship professional software development experience
• Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
• 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.

Additional Job requirements

• BS/MS/PhD in Computer Science/Math or equivalent
• BS in computer science or related field.
• 2+ years of relevant professional software development experience: designing, developing, and delivering software written in Java, C#, or C++, web development.
• Knowledgeable in object-oriented design patterns.
• Experience building highly scalable and distributed systems

Preferred Qualifications

• Experience with service-oriented architecture and application/services development
• Passion for performance debugging and benchmarking
• Ability to clearly and concisely communicate with technical and non-technical stakeholders across all levels of the organization

Built on a foundation of AI we are automating enterprise application integration, data integration, data preparation for Analytics and bot automation. We are looking to build our engineering development center in Pune with passionate and entrepreneurial developers at all levels (Interns, Fresh Graduates, Senior Software Engineers and Architects).

• Work on building scalable backend platform for customer & seller apps, brands platform, demand generation platform, supply chain & logistics platform, credit platform and several cross platform software components
• Participate in the process to fundamentally change the food and grocery ecosystem in India, and impact billions of people through technology, mobile, and data science

Requirements:

An ideal candidate for this role is someone who has-

• BE/BTech degree in Computer Science from a top engineering school
• 1-5 years of professional software development experience
• Strong problem solving skills and strong command on object oriented design, data structures, algorithms and other computer science fundamentals.
• Strong coding skills - professional experience in developing production-quality software in Java/Python
• Expertise in Web Services, Service-oriented architecture, Databases, NoSQL, Distributed systems, Cloud Technologies.
• Extreme software engineering skills to design and develop low-latency, high availability, internet-scale web services
• Solid understanding of the full software development life cycle and software engineering best practices
• Ability to understand business requirements and translate them into technical requirements
• Demonstrated ability to own software design and development end to end from requirements to launch.
• Ability to collaborate with cross-functional teams to define, design, and ship new features.
• A startup mindset  - An athlete who can run at breakneck speed of a startup, yet someone who can bring method to madness through processes suitable for different stages of the company - early stage prototyping and rapid experimentation, before product/market fit, after product/market fit, and scaling.
• Familiarity with Agile development, Scrums, continuous integration, and test driven development processes
• Data driven product development approach - strong focus on data backed engineering decisions.
• Ability to develop products incrementally in fast iterations
• Ability to do collaborative problem solving and design/build chaos resilient systems
• Strong focus on software quality
• Ability to mentor junior developers, and help build an excellent engineering team
• Ability to be a talent magnet - attract great talent to join the core team.