Senior Manufacturing DevOps Engineer

at  Clarapath

JOB TITLE: Senior Manufacturing DevOps Engineer
LOCATION: Hawthorne, NY (on-site)
TYPE: Full time, regular
COMPENSATION: $129,000 - $160,000/yr
Clarapath is a medical robotics company based in Westchester County, NY. Our mission is to transform and modernize laboratory workflows with the goal of improving patient care, decreasing costs, and enhancing the quality and consistency of laboratory processes. SectionStar™ by Clarapath is a ground-breaking electro-mechanical system designed to elevate and automate the workflow in histology laboratories and provide pathologists with the tissue samples they need to make the most accurate diagnoses. Through the use of innovative technology, data, and precision analytics, Clarapath is paving the way for a new era of laboratory medicine.

QUALIFICATIONS:

• Bachelor’s degree in software engineering, Computer Science, or a related field
• 5+ years of experience with scripting languages such as Python, Bash, PowerShell, with a proven track record of developing and maintaining automation scripts for build processes, deployment pipelines, production environment.
• Experience with Linux systems, command-line interfaces, and software deployment tools
• Experience and knowledge of CI/CD tools such as Jenkins or GitCI
• Experience with monitoring stacks like ELK, Grafana/ Prometheus, or DynaTrace
• Knowledge of software testing, documentation, and version control practices
• Familiarity with manufacturing processes and workflows
• Experience with creating and maintaining technical documentation and guides
• Strong problem-solving and analytical skills
• Excellent attention to detail
• Strong interpersonal, verbal, and written communication skills
• Effective time management skills to prioritize tasks and meet deadlines
• Ability to work independently and collaboratively in a team environment
• Flexibility to adapt to a changing and fast-paced environment
• Drive, determination, and ability to achieve aggressive milestones and deadlines
• Experience with software deployment in a manufacturing setting is a plus
• Knowledge of containerization technologies (ex: Docker) and software deployment platforms is a plus

ROLE SUMMARY:

The Senior Manufacturing DevOps Engineer will be working alongside our existing electrical engineers, mechanical engineers and software engineers on medical device development. This role is multi-disciplinary with responsibility for documentation and testing of the device’s subsystems and overall integrated system. We are looking for a team player who views medical device development as a competitive advantage.

RESPONSIBILITIES:

• Design, implement, and maintain automated solutions for streamlining software deployment in manufacturing operations
• Design, implement, and maintain robust CI/CD pipelines, collaborating with cross-functional project teams
• Develop automated scripts and software for efficient installation, testing, and configuration of systems and hardware-specific tools
• Integrate automated testing with CI/CD pipelines, working closely with Software Quality Engineering
• Implement infrastructure code to automate deployment and configuration, in collaboration with IT and Cloud Architecture teams
• Establish and maintain monitoring and observability tools to improve operational efficiency
• Develop and execute automated testing procedures to ensure overall machine functionality prior to release
• Create and maintain comprehensive documentation for software maintenance and troubleshooting
• Manage software licenses, computer images, backups, and version control for manufactured products
• Identify and implement process efficiencies by reviewing procedures and evaluating tools
• Support project developers with development environment issues and access management
• Integrate required third-party hardware/software, such as sensors, drivers, and libraries
• Take ownership of the software bring-up process during manufacturing, from design to maintenance
• Contribute to continuous improvements in DevOps practices to enhance efficiency and reduce risk