Full Stack Software Engineer

Full Stack Software Engineer

Full Stack Software Engineer

Responsibilities

• Work closely with cross-functional teams, data and algorithm engineers, divisional SMEs, and business stakeholders to

  develop new algorithms and tools

  .

• Help define the product roadmap

  for our next-generation data analysis platform for KLA tools management.

• Collaborate with various stakeholders to collect and preprocess data

  .

• Apply statistical analysis and models to understand complex patterns

  in data and generate actionable insights.
• Be heavily involved in the

  design of software applications in a distributed microservice environment

  .

• Develop software components and UIs

  using containers and orchestration technologies like Kubernetes to effectively monitor, diagnose, and optimize KLA semiconductor inspection and metrology equipment.

Skills

• Strong computer science fundamentals

  (data structures and algorithms).

• Excellent technical expertise in C#, Java, or Python.

• SQL skills for data extraction and manipulation

  , and experience in database scaling & optimization.

• Ability to interpret data, identify patterns/trends

  , and strong attention to detail.

• Proven problem solver

  with the ability to distill requirements and design solutions for business problems.

• Motivated to learn new skills independently

  and conduct experiments.

• Excellent communication and storytelling skills.

• Experience in Data Engineering, data pipeline, batch/stream processing (Desired).
• Familiarity with Machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn) (Desired).
• Experience developing cloud-native applications using Docker, Kubernetes, message buses (Desired).
• Knowledge of Agile software development processes (Desired).
• Experience with monitoring, logging & tracing tools (e.g., Grafana, ELK stack, Prometheus, OpenTelemetry) (Desired).