GoLang Developer

You will be responsible for designing, developing, and maintaining scalable backend services and workflow orchestration components using Python and GoLang. Collaborating with the Airflow and Temporal team to build and optimize data pipelines and asynchronous job execution frameworks will be a key part of your role. You will also be tasked with implementing and managing complex workflow logic using Apache Airflow and Temporal. Ensuring high code quality through unit testing, integration testing, and code reviews is essential. Working closely with cross-functional teams, including Data Engineering, DevOps, and Platform Engineering, will be necessary. Additionally, contributing to architectural discussions and decision-making processes to ensure scalable and maintainable systems is expected. Writing clear documentation and participating in knowledge-sharing sessions are important aspects of this role. To excel in this position, you should possess 5-7 years of professional software engineering experience. Strong hands-on programming skills with Python and GoLang are required. A solid understanding of concurrent and distributed systems is essential, as well as hands-on experience with Apache Airflow and/or Temporal.io. Experience in designing and developing robust APIs and backend services is necessary. Familiarity with containerization tools (e.g., Docker) and CI/CD practices is a plus. A good understanding of the software development lifecycle (SDLC) and Agile methodologies is preferred. Excellent problem-solving, communication, and collaboration skills are crucial for success in this role. It would be advantageous to have experience with cloud platforms (e.g., AWS, GCP, or Azure), exposure to microservices architecture and event-driven systems, and familiarity with monitoring and observability tools.,