Python Java Developer

TekWissen•New York City, NY

22h•Onsite

About The Position

We are looking for a strong Python Developer with solid Java expertise to design, develop, and maintain scalable, high-performance backend applications and services. The ideal candidate will have deep hands-on experience in Python development, along with the ability to work effectively with Java-based applications and services. The role requires strong knowledge of backend engineering, REST APIs, microservices, databases, cloud environments, automated testing, and modern software development practices. This is a hands-on engineering role requiring strong coding, debugging, problem-solving, and system design capabilities.

Requirements

Python: Expert Level: Strong hands-on programming experience with Python
Strong understanding of: Object-Oriented Programming
Data structures and algorithms
Exception handling
Multithreading and multiprocessing
Async programming
Python packaging and dependency management
Experience with FastAPI, Flask, and/or Django
Strong experience developing REST APIs and backend services
Hands-on experience with testing frameworks such as PyTest/unittest
Java: Strong Hands-on Experience: Strong programming experience with Java
Good understanding of Core Java, OOP, Collections, Streams, Exception Handling, Multithreading, and Concurrency
Experience with Spring Boot/Spring
Experience developing or maintaining Java-based REST APIs and microservices
Ability to debug, enhance, and integrate existing Java applications
Backend & Microservices: Strong understanding of microservices architecture
REST API design and integration
JSON and HTTP/HTTPS
Authentication and authorization concepts such as OAuth 2.0 and JWT
API error handling, logging, resilience, and performance optimization
Experience with messaging/event-driven systems such as Apache Kafka or RabbitMQ is highly desirable
Database Skills: Strong SQL knowledge
Experience with PostgreSQL, MySQL, Oracle, SQL Server, or similar relational databases
Understanding of database design, indexing, transactions, and query optimization
Exposure to MongoDB, Redis, or other NoSQL technologies is an advantage
Cloud & DevOps: Experience with one or more cloud platforms: AWS Microsoft Azure Google Cloud Platform (GCP)
Hands-on exposure to: Docker
Kubernetes
CI/CD pipelines
Git
Jenkins / GitHub Actions / Azure DevOps
Cloud-native application deployment
Application monitoring and logging

Nice To Haves

Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related discipline
Strong experience developing enterprise-scale applications
Experience migrating or modernizing Java applications/services into Python-based services would be an advantage
Experience with AWS/Azure/GCP
Knowledge of distributed systems and event-driven architecture
Experience working in Agile/Scrum development environments
Exposure to financial services, banking, insurance, or other large enterprise environments is a plus.

Responsibilities

Design, develop, test, and maintain scalable backend applications and services primarily using Python.
Develop clean, maintainable, reusable, and production-quality Python code.
Work with existing and new Java-based applications, APIs, and microservices.
Build and integrate RESTful APIs and microservices across Python and Java ecosystems.
Develop Python applications using frameworks such as FastAPI, Flask, and/or Django.
Work with Java frameworks such as Spring Boot and Spring Framework.
Design solutions for high-volume and performance-sensitive applications.
Work with relational and NoSQL databases such as PostgreSQL, MySQL, Oracle, MongoDB, or similar technologies.
Develop efficient SQL queries and troubleshoot application/database performance issues.
Implement asynchronous and event-driven processing using technologies such as Kafka or RabbitMQ.
Develop unit, integration, and automated tests using frameworks such as PyTest, unittest, JUnit, and Mockito.
Participate in application design, technical architecture, code reviews, debugging, and production support.
Containerize and deploy applications using Docker and Kubernetes.
Work with CI/CD pipelines using tools such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.
Collaborate with architects, business analysts, QA engineers, DevOps teams, and other developers in an Agile/Scrum environment.
Troubleshoot complex production issues, perform root-cause analysis, and implement long-term fixes.
Follow software engineering best practices related to code quality, security, scalability, performance, and observability.