Backend Developer

Job Description – Backend Python Developer(Mid-Level) 

📍 Location: Mumbai/Gurgaon |  Full-time

Backend Python Developer

Role Overview

We are seeking a skilled Backend Python Developer to design, develop, and maintain backend services, APIs, and integrations that power our AI-driven automation solutions.

You will collaborate closely with senior engineers, AI/ML teams, and frontend developers to build scalable, high-performance systems. This role is ideal for professionals with solid backend experience who are eager to deepen their expertise in Python, cloud technologies, and AI-based applications.

Key Responsibilities

• Develop and maintain backend APIs, services, and system integrations using Python
• Collaborate on system design and architecture discussions with senior engineers
• Write clean, scalable, and well-documented code following best practices
• Ensure performance, scalability, and reliability in cloud environments
• Design and manage SQL/NoSQL databases for structured and unstructured data
• Support integration of AI/ML models into production workflows
• Participate in code reviews, unit testing, and debugging
• Contribute to CI/CD pipelines, containerization, and DevOps processes

Required Skills & Qualifications

• 3–5 years of experience in backend development
• Strong proficiency in Python
• Hands-on experience with frameworks such as FastAPI, Flask, or Django
• Experience building and consuming REST APIs (GraphQL is a plus)
• Strong database knowledge: PostgreSQL, MySQL, MongoDB, or Redis
• Familiarity with cloud platforms (AWS, GCP, or Azure)
• Hands-on experience with Docker and Kubernetes
• Strong understanding of OOP, data structures, algorithms, and design patterns

Preferred Skills

• Exposure to AI/ML workflows or a strong interest in learning
• Experience with message brokers such as Kafka, RabbitMQ, or Celery
• Knowledge of asynchronous programming (asyncio, Celery, etc.)
• Experience with unit testing frameworks (PyTest, unittest)
• Understanding of API security and authentication (OAuth2, JWT)

What We Offer

• Competitive compensation with growth opportunities
• Opportunity to work on AI-first automation products used globally
• Mentorship from experienced senior engineers
• Flexible work environment
• Continuous learning support in Python, Cloud, and AI/Automation technologies

Minimum 7-12 Years of Core Java Programming with Collections Framework, Concurrent Programming, Multi-threading (Good knowledge in Executor service, Forkjoin pool and other threading concepts)

·        Good knowledge of the JVM with an understanding of performance and memory optimization.

·        Extensive and expert programming experience in JAVA programming language (strong OO skills preferred).

·        Excellent knowledge on collections like, Array List, Vector, LinkedList, Hashmap, HashTable, HashSet is mandate.

·        Exercised exemplary development practices including design specification, coding standards, unit testing, and code-reviews.

·        Expert level understanding of Object Oriented Concepts and Data Structures

·        Good experience in Database (Sybase, Oracle or SQL Server) like indexing (clustered, non clustered), hashing, segmenting, data types like clob / blob, views (materialized), replication, constraints,            functions, triggers, procedures etc.

Egen is a data engineering and cloud modernization firm helping industry-leading companies achieve digital breakthroughs and deliver for the future, today. We are catalysts for change who create digital breakthroughs at warp speed. Our team of cloud and data engineering experts are trusted by top clients in pursuit of the extraordinary. An Inc. 5000 Fastest Growing Company 7 times, and recently recognized on the Crain’s Chicago Business Fast 50 list, Egen has also been recognized as a great place to work 3 times.

You will join a team of insatiably curious data engineers, software architects, and product experts who never settle for "good enough". Our Java Platform team's tech stack is based on Java8 (Spring Boot) and RESTful web services. We typically build and deploy applications as cloud-native Kubernetes microservices and integrate with scalable technologies such as Kafka in Docker container environments. Our developers work in an agile process to efficiently deliver high value data driven applications and product packages.

Required Experience:

• Minimum of Bachelor’s Degree or its equivalent in Computer Science, Computer Information Systems, Information Technology and Management, Electrical Engineering or a related field.
• Have experience working and strong understanding of object-oriented programing and cloud technologies
• End to end experience delivering production ready code with Java8, Spring Boot, Spring Data, and API libraries
• Strong experience with unit and integration testing of the Spring Boot APIs.
• Strong understanding and production experience of RESTful API's and microservice architecture.
• Strong understanding of SQL databases and NoSQL databases and experience with writing abstraction layers to communicate with the databases.

Nice to have's (but not required):

• Exposure to Kotlin or other JVM programming languages
• Strong understanding and production experience working with Docker container environments
• Strong understanding and production experience working with Kafka
• Cloud Environments: AWS, GCP or Azure

Following are the things that we are looking for in our NodeJS developer:

• Full SDLC knowledge, preferably in an agile environment.
• Strong written and verbal communication skills. Strong critical thinking & problem solving skills.
• Understanding of Unix / Linux based systems.
• Hands-on exposure to deeply linked relational databases – preferably in MySQL
• Ability to take a feature or product through the full Software Development Life Cycle.
• Strong communication skills, including the ability to both collaborate well and also the ability to convey technical ideas and concepts to non-technical stakeholders.
• Identify the interaction needs and how the API. must be developed based on design comps, product specs, etc.
• Continuously evaluate and implement new technologies to maximize development efficiency.
• Address and prioritize production level bugs and application performance improvements.
• An adaptable attitude and understanding of the agile methodology.
• Unit-test code for robustness, including edge cases, usability, and general reliability.
• Collaborate with cross-functional teams to define, design, and release new features.

Must skills:

Hands- on in the following:

• Java 8/J2EE
• Spring boot
• Gradle/Maven
• REST API
• ORM- hibernate/ JPA
• Unit Testing and Integration Testing- Junit/ TestNG

Good to have:

Hands-on in the following:

• CI/CD pipeline deployment
• Messaging- ActiveMQ/RabbitMQ/MQ
• DB2
• Kafka
• NoSQL framework exposure

• Bachelor’s or master’s degree in Computer Engineering, Computer Science, Computer Applications, Mathematics, Statistics, or related technical field. Relevant experience of at least 3 years in lieu of above if from a different stream of education.

• Well-versed in and 3+ hands-on demonstrable experience with: ▪ Stream & Batch Big Data Pipeline Processing using Apache Spark and/or Apache Flink.
  ▪ Distributed Cloud Native Computing including Server less Functions
  ▪ Relational, Object Store, Document, Graph, etc. Database Design & Implementation
  ▪ Micro services Architecture, API Modeling, Design, & Programming

• 3+ years of hands-on development experience in Apache Spark using Scala and/or Java.

• Ability to write executable code for Services using Spark RDD, Spark SQL, Structured Streaming, Spark MLLib, etc. with deep technical understanding of Spark Processing Framework.

• In-depth knowledge of standard programming languages such as Scala and/or Java.

• 3+ years of hands-on development experience in one or more libraries & frameworks such as Apache Kafka, Akka, Apache Storm, Apache Nifi, Zookeeper, Hadoop ecosystem (i.e., HDFS, YARN, MapReduce, Oozie & Hive), etc.; extra points if you can demonstrate your knowledge with working examples.

• 3+ years of hands-on development experience in one or more Relational and NoSQL datastores such as PostgreSQL, Cassandra, HBase, MongoDB, DynamoDB, Elastic Search, Neo4J, etc.

• Practical knowledge of distributed systems involving partitioning, bucketing, CAP theorem, replication, horizontal scaling, etc.

• Passion for distilling large volumes of data, analyze performance, scalability, and capacity performance issues in Big Data Platforms.

• Ability to clearly distinguish system and Spark Job performances and perform spark performance tuning and resource optimization.

• Perform benchmarking/stress tests and document the best practices for different applications.

• Proactively work with tenants on improving the overall performance and ensure the system is resilient, and scalable.

• Good understanding of Virtualization & Containerization; must demonstrate experience in technologies such as Kubernetes, Istio, Docker, OpenShift, Anthos, Oracle VirtualBox, Vagrant, etc.

• Well-versed with demonstrable working experience with API Management, API Gateway, Service Mesh, Identity & Access Management, Data Protection & Encryption.

  Hands-on experience with demonstrable working experience with DevOps tools and platforms viz., Jira, GIT, Jenkins, Code Quality & Security Plugins, Maven, Artifactory, Terraform, Ansible/Chef/Puppet, Spinnaker, etc.

• Well-versed in AWS and/or Azure or and/or Google Cloud; must demonstrate experience in at least FIVE (5) services offered under AWS and/or Azure or and/or Google Cloud in any categories: Compute or Storage, Database, Networking & Content Delivery, Management & Governance, Analytics, Security, Identity, & Compliance (or) equivalent demonstrable Cloud Platform experience.

• Good understanding of Storage, Networks and Storage Networking basics which will enable you to work in a Cloud environment.

• Good understanding of Network, Data, and Application Security basics which will enable you to work in a Cloud as well as Business Applications / API services environment.