

Search by job, company or skills

● Develop, update, and maintain new and existing applications, ensuring they meet specified requirements, scale efficiently, and maintain high performance.
● Analyze and interpret project requirements to independently design effective solutions while keeping the broader product architecture in mind.
● Design, develop, and deploy APIs and web services with a focus on reusable, testable, and efficient code.
● Implement low-latency, scalable applications with optimized performance.
● Create Docker files for containerization and deploy applications within a Kubernetes environment.
● Adapt quickly to a dynamic, start-up style environment, demonstrating strong problem-solving skills and a resourceful approach to driving results.
● Proficiency in Python: 5 - 8 Years of hands-on experience with Python, particularly with Fast API / Flask. Familiarity with other web frameworks like Django and web2py is beneficial.
● Web Development and API Design: Deep understanding of RESTful API design, as well as a working knowledge of HTTP, JSON, and other web protocols.
● Database Expertise: Experience with RDBMS databases (e.g., PostgreSQL, MySQL) and document-based databases (e.g., MongoDB). Skilled in database design, indexing, and optimizing queries.
● Design Patterns and Best Practices: Knowledge of fundamental design principles, including object-oriented programming (OOP) and design patterns, especially as they apply to Python.
● Containerization and Orchestration: Strong experience with Docker for containerization, and Kubernetes for deploying and managing containerized applications.
● Scalable Architecture Knowledge: Understanding of multi-process architecture, threading limitations of Python, and core principles behind building scalable and
maintainable applications.
● Unit Testing and Quality Assurance: Familiar with testing frameworks such as PyTest or UnitTest for building unit tests and ensuring code quality, as well as a TDD (Test-Driven Development) approach.
● Version Control: Proficiency with Git for source code management and collaborative development.
● ETL Processes and Data Pipelines: Hands-on experience in building data pipelines and workflows, using tools such as Apache Airflow or other ETL frameworks.
● Cloud Services: Experience working with cloud environments, especially AWS, including knowledge of services like S3, EC2, and Lambda.
● Microservices Architecture: Familiarity with microservices design patterns and best practices, as well as deployment in containerized environments.
● Continuous Integration/Continuous Deployment (CI/CD): Knowledge of CI/CD tools such as Jenkins, GitLab CI, or GitHub Actions.
● Opportunity to work on technical challenges with global impact.
● Vast opportunities for self-development, including online university access and sponsored certifications.
● Sponsored Tech Talks & Hackathons to foster innovation and learning.
● Generous benefits package including health insurance, retirement benefits, flexible work hours, and more.
● Supportive work environment with forums to explore passions beyond work.
● This role presents an exciting opportunity for a motivated individual to contribute to the development of cutting-edge solutions while advancing their career in a dynamic and collaborative environment.
Fission Computer Labs Private Limited (FCLPL) is a leading software development company based in Hyderabad, India, founded in 2007. The company specializes in cloud applications, data engineering, AI & ML solutions, and web and mobile app development. FCLPL offers services such as Salesforce and ServiceNow consulting to optimize business processes. With a growing workforce, they are committed to delivering innovative, high-quality solutions to clients globally.
Job ID: 107088223
Skills:
Numpy, Apis, Pandas, Gcp, Docker, Kubernetes, Python, data pipelines, agentic automation, CI CD pipelines
Skills:
Apache Airflow, BigQuery, Spark, Apache Beam, Python, Sql, Dataform, Google Cloud Dataflow
Skills:
Github, Python, Aws
Skills:
amazon sqs , S3, Distributed Systems, Kafka, Microservices, Lambda, Flask, Python, AWS, RDS, Apis, Rabbitmq, Jenkins, Django, ECS, MLflow, AsyncIO, Aurora, Harness, CodePipeline, Kubeflow, CodeDeploy, EKS, Fargate, AWS SageMaker
Skills:
PostgreSQL, Dynamodb, Sql, Microservices, Nosql, Vue.JS, Cloudwatch, Docker, Terraform, MySQL, Flask, Dynatrace, Splunk, FastAPI, Python, AWS, Aurora, Harness, GitHub Actions, Next.js