Lead/Senior Software Engineer (Python, AWS)

Founded in 2016, Katalon is the leading provider of a modern, comprehensive quality management platform. Katalon Platform enables quality assurance, DevOps, and software teams of any size to deliver world-class customer experiences faster, easier, and more efficiently.

Since its first launch, Katalon has experienced tremendous growth, serving more than 100,000 users across 30,000 teams of all shapes & sizes, many of which are in the Fortune Global 500, such as PwC, KPMG, Abbott, etc. Katalon is recognized as a top automation tool by prestigious review sites, such as Gartner, Capterra, and IT Central Station. 

ABOUT POSITION

We are looking for passionate and talented engineers to join our TrueTest team - an AI-augmented test automation product that automatically discovers, models, generates, and maintains user-journey test cases. TrueTest revolutionizes the test generation process, saving time, enhancing accuracy, and improving efficiency for modern software teams.

As a Lead/Senior Software Engineer, you will play a critical role in developing and enhancing our flagship test automation tool, following the responsibilities of:

• Collaborate with the product manager and team to develop and enhance the product's new features in addition to utilizing Generative AI technology.
• Perform detailed technical analysis and design to break down the feature based on the high-level design and business requirements.
• Develop and review code that meets the development standards for code style, design patterns, readability, and maintainability and integrates best practices for scaling.
• Work with peer engineers to grow the technical accountability of the system to ensure release product quality, security, and performance.
• Utilize Code Pilot to increase development efficiency and quality by automating repetitive tasks and identifying potential bugs or issues early on.
• Identify areas for improvement within the existing codebase and suggest solutions to improve. 
• Identify and contribute to internal engineering working groups to define and build internal libraries, tools, and frameworks for reusability and centralize practices across
• Diagnose and troubleshoot issues to support customer requests. 
• Support automation QAs and product specialists to maintain the demo system and write scripts using new Katalon features, to test applications.

Requirements

Must-have: 

Core Technical Expertise:

• Strong experience with Python, particularly for batch data processing and large-scale ETL pipelines.
• Proficiency in Apache Spark (PySpark) and distributed data processing.
• Extensive experience with Apache Airflow for orchestrating complex batch workflows.
• Expertise in ETL/ELT pipeline design, including data transformation, validation, and performance optimization.

Data Pipelines & Processing:

• Hands-on experience designing and optimizing scalable batch data pipelines.
• Experience with real-time data streaming platforms such as Apache Kafka or Pulsar.
• Experience handling structured and unstructured data (logs, text, images, etc.).
• Understanding of data lakes (S3-based architectures) and columnar storage formats (Parquet, ORC, Avro).

Cloud Integration & Containerization:

• Experience with AWS data services, including S3, Glue, Redshift, Athena, and Step Functions.
• Hands-on experience with Kubernetes (K8s), especially AWS EKS, for managing and scaling data workloads.
• Proficiency in Dockerized data processing environments.

Development & Best Practices:

• Familiarity with CI/CD for data workflows (GitHub Actions, Jenkins, or similar tools).
• Strong understanding of software engineering principles, code optimization, and scalability best practices.

Communication & Collaboration:

• Ability to work closely with data scientists, ML engineers, and software teams to integrate AI-enhanced features into data workflows.
• Strong problem-solving skills and a proactive approach to improving data engineering workflows.

Nice-to-have:

• Familiarity with third-party AI/ML services such as AWS Bedrock, SageMaker, or Vertex AI to integrate AI capabilities into data pipelines.
• Proficiency in AWS Kinesis Data Firehose for data ingestion and transformation.
• Experience implementing automated testing for data pipelines using PyTest, Great Expectations, or DBT testing.
• Ability to work with pre-built AI models (e.g., NLP, image processing, embeddings) rather than building models from scratch.

Benefits

At Katalon, we bring together self-starting, open-minded, and talented people while actively promoting a transparent and growth-enabling working environment. But don’t just take our word for it. Take a better look below!

• Total Remuneration: Satisfying your financial goals through competitive compensation and periodic performance bonuses.
• Well-being & Work-life Balance: Staying healthy through comprehensive health plans, flexible work arrangements, and generous paid leaves.
• Statutory Compliance: Labor compliance with local regulations that ensure employee security.
• Work Facilities & Accommodation: Top-notch equipment, supportive allowances, and A-class facilities.
• Diversity, Equity, Engagement, & Inclusion: Becoming part of a global team that celebrates differences, equal opportunity, and meaningful employee recognition.
• Growth & Rewards: Thriving professionally through employee enablement, a culture of trust, and rewarding performance.

Katalon is proud to be an equal-opportunity employer. We care about our people and celebrate our differences. We want to work with talented, collaborative, and innovative people. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other characteristics protected by law.