Java/ Golang Backend Developer

We are looking for a skilled Node.js Developer with PHP experience to build, enhance, and maintain ERP and EdTech platforms. The role involves developing scalable backend services, integrating ERP modules, and supporting education-focused systems such as LMS, student management, exams, and fee management.

Key Responsibilities

Develop and maintain backend services using Node.js and PHP.

Build and integrate ERP modules for EdTech platforms (Admissions, Students, Exams, Attendance, Fees, Reports).

Design and consume RESTful APIs and third-party integrations (payment gateway, SMS, email).

Work with databases (MySQL / MongoDB / PostgreSQL) for high-volume education data.

Optimize application performance, scalability, and security.

Collaborate with frontend, QA, and product teams.

Debug, troubleshoot, and provide production support.

Required Skills

Strong experience in Node.js (Express.js / NestJS).

Working experience in PHP (Core PHP / Laravel / CodeIgniter).

Hands-on experience with ERP systems.

Domain experience in EdTech / Education ERP / LMS.

Strong knowledge of MySQL and database design.

Experience with authentication, role-based access, and reporting.

Familiarity with Git, APIs, and server environments.

Preferred Skills

Experience with online examination systems.

Knowledge of cloud platforms (AWS / Azure).

Understanding of security best practices (CSRF, XSS, SQL Injection).

Exposure to microservices or modular architecture.

Qualification

Bachelor’s degree in Computer Science or equivalent experience.

3–6 years of relevant experience in Node.js & PHP development

Looking for Java Developer for Gurugram and Bangalore Location with 5+ years of experience win Java + Microservices , Multithreading , Spring boot , Kafka and any MQ Series

• Backend development along with team management
• Hands on experience in product development 
• Preferred candidates from Fintech and Banking sectors
• Exp in Python / Java slong with databases like MySQL, NoSQL, etc
• Knowledge of Agile methodology

The Sr. Analytics Engineer would provide technical expertise in needs identification, data modeling, data movement, and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective.

Understands and leverages best-fit technologies (e.g., traditional star schema structures, cloud, Hadoop, NoSQL, etc.) and approaches to address business and environmental challenges.

Provides data understanding and coordinates data-related activities with other data management groups such as master data management, data governance, and metadata management.

Actively participates with other consultants in problem-solving and approach development.

Responsibilities :

Provide a consultative approach with business users, asking questions to understand the business need and deriving the data flow, conceptual, logical, and physical data models based on those needs.

Perform data analysis to validate data models and to confirm the ability to meet business needs.

Assist with and support setting the data architecture direction, ensuring data architecture deliverables are developed, ensuring compliance to standards and guidelines, implementing the data architecture, and supporting technical developers at a project or business unit level.

Coordinate and consult with the Data Architect, project manager, client business staff, client technical staff and project developers in data architecture best practices and anything else that is data related at the project or business unit levels.

Work closely with Business Analysts and Solution Architects to design the data model satisfying the business needs and adhering to Enterprise Architecture.

Coordinate with Data Architects, Program Managers and participate in recurring meetings.

Help and mentor team members to understand the data model and subject areas.

Ensure that the team adheres to best practices and guidelines.

Requirements :

- Strong working knowledge of at least 3 years of Spark, Java/Scala/Pyspark, Kafka, Git, Unix / Linux, and ETL pipeline designing.

- Experience with Spark optimization/tuning/resource allocations

- Excellent understanding of IN memory distributed computing frameworks like Spark and its parameter tuning, writing optimized workflow sequences.

- Experience of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Redshift, Bigquery, Cassandra, etc).

- Familiarity with Docker, Kubernetes, Azure Data Lake/Blob storage, AWS S3, Google Cloud storage, etc.

- Have a deep understanding of the various stacks and components of the Big Data ecosystem.

- Hands-on experience with Python is a huge plus

Responsibilities:

Collaborate with product managers and other stakeholders to understand business requirements and translate them into technical specifications.

Design, develop, and maintain high-quality software solutions, ensuring scalability, performance, and security.

Write clean and efficient code using best practices, and conduct code reviews to ensure code quality and adherence to coding standards.

Participate in architectural discussions and propose technical solutions that align with business objectives.

Collaborate with cross-functional teams to integrate software components and troubleshoot issues.

Conduct comprehensive testing of software applications, including unit testing, integration testing, and automated testing.

Identify and resolve technical issues, bugs, and performance bottlenecks.

Stay updated with the latest industry trends, technologies, and best practices, and share knowledge with the team.

Mentor and guide junior engineers, fostering a culture of continuous learning and growth.

Requirements:

Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.

Minimum of 4 years of proven experience as a software engineer, with a focus on backend development.

Strong proficiency in programming languages such as Java, Python, or C++.

Extensive experience with web application development frameworks such as Spring, Django, or Flask.

Solid understanding of database systems (SQL and NoSQL) and proficiency in writing complex queries.

Experience with cloud platforms such as AWS, Azure, or Google Cloud.

Strong knowledge of software engineering principles, design patterns, and best practices.

Familiarity with Agile methodologies and experience working in an Agile/Scrum environment.

Excellent problem-solving skills and ability to work effectively in a fast-paced, collaborative environment.

Strong communication and interpersonal skills, with the ability to effectively communicate complex technical concepts.

Benefits:

Competitive salary and comprehensive benefits package.

Opportunities for professional growth and career advancement.

Collaborative and inclusive work environment.

Cutting-edge technology stack and access to the latest tools and resources.

Chance to work on impactful projects and shape the future of the lending industry.

upcred.ai is an equal-opportunity employer. We value diversity and encourage individuals from all backgrounds to apply.

Please find below updated JD for Java requirement.

-Work with a performance-oriented team driven by ownership and open to experiment.

• -6+ years of Java advanced software development experience, with concurrent (multi-threaded) programming highly desirable.
• -Strong experience on Core Java 8, Java EE, Spring Boot, Maven and Docker including Multi-threading.

.          -Strong problem solving skills, computer science fundamentals, data structures and algorithms.

• -Hands on experience with any SQL Database.
• -Ability to learn new technologies like ELK, stack, redis etc.
• -Must have expert level knowledge in Java, Springboot.
• -Must have knowledge or hands on experience in microservices, apache kafka and distributed caching.

.           -Experience in distributed/scalable systems

• -Strong knowledge of design patterns and software engineering best practices.
• -Familiarity with standard development tools and processes: Git, Eclipse, JUnit test, debugging, profiling, etc.

.           -Familiarity with CI/CD and DevOps

.           -Strong knowledge and previous experience in end-to-end design, development and subsequent

             support of large-scale data processing systems

.           - Familiarity and confidence working in an agile development environment.

.           - Good Problem solving skills

• - Good oral and written communication skills.
• - Strong debugging skills.