Delivery Lead

Location: Remote / Hybrid (Specify Location)

Duration: Long-Term Contract

Visa: Open (As per client requirement)

Job Summary We are seeking a highly skilled Lead Python Software Engineer with strong expertise in designing and developing scalable backend applications using Python. The ideal candidate should have approximately 70% hands-on Python backend development experience and 30% Data Engineering experience, including building ETL pipelines and processing large-scale data. The candidate should have experience developing cloud-native applications, microservices, REST APIs, and distributed systems while collaborating with cross-functional teams in an Agile environment.

• 8+ years of software engineering experience with strong Python development.
• Expertise in Python, FastAPI, Flask, or Django.
• Strong experience designing and developing RESTful APIs and Microservices.
• Hands-on experience with Docker and Kubernetes.
• Experience working with AWS, Azure, or Google Cloud Platform.
• Experience with CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, or similar tools.
• Strong SQL skills with PostgreSQL, MySQL, or similar databases.
• Experience with Git and Agile/Scrum methodologies.

• Experience building ETL/ELT pipelines.
• Hands-on experience with PySpark, Apache Spark, or similar technologies.
• Experience with Apache Airflow, AWS Glue, or other workflow orchestration tools.
• Experience processing structured and unstructured data.
• Knowledge of Kafka or other messaging/streaming platforms.
• Experience with data validation, transformation, and optimization.

• Experience with distributed systems and event-driven architecture.
• Infrastructure as Code (Terraform or CloudFormation).
• Redis or other caching technologies.
• Monitoring tools such as Datadog, Prometheus, Grafana, or CloudWatch.
• Experience with AI/ML or GenAI integrations is a plus but not required.

• Design, develop, and maintain scalable Python backend applications.
• Develop REST APIs and microservices for enterprise applications.
• Build and maintain ETL pipelines and data processing workflows.
• Collaborate with product owners, architects, and engineering teams to deliver high-quality software.
• Optimize application performance, scalability, and reliability.
• Develop cloud-native applications and deploy them using Docker and Kubernetes.
• Participate in architecture discussions, code reviews, and technical mentoring.
• Troubleshoot production issues and implement performance improvements.
• Follow best practices for software development, testing, security, and CI/CD.

Nice to Have: FastAPI, PySpark, Apache Airflow, Kafka, AWS Glue, Terraform, Kubernetes, Redis, Snowflake, Databricks, Google Cloud Platform.

Key Technologies: Python, FastAPI, Flask, Django, REST APIs, Microservices, Docker, Kubernetes, AWS, Azure, Google Cloud Platform, PySpark, Airflow, Kafka, SQL, PostgreSQL, ETL, CI/CD, Terraform, Git, Agile.

This posting is aligned with a role where the primary focus is Python backend engineering (70%) with supporting Data Engineering responsibilities (30%), making it suitable for candidates who are Python-first engineers with hands-on experience in data pipelines and ETL processing.

For applications and inquiries, contact:View email address on us.fitly.work