Software Engineer

Azenta Life Sciences

. Establish efficient and automated laboratory workflows .

Posted 10/1/2026full-timeUnited StatesMid-LevelSenior💰 $94,000 - $117,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in software development and cloud solutions, with a strong focus on microservice architecture and automated laboratory workflows. Proficient in programming languages and frameworks essential for building scalable applications and integrating systems.

Highest-signal resume keywords

C# DevelopmentCloud Solutions (Azure, AWS, Google Cloud Platform)Microservice ArchitectureCI/CD Tools (Azure DevOps, GitHub, Jenkins)Agile Programming Environment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

C#JavaScript.NET CoreSQLAzure SQLMongoDBRESTful WebApiAngular/AngularJSBootstrapPerformance Tuning

Tools & Technologies

Azure DevOpsGitHubJenkinsTFSVersion Control

Industry Keywords

Laboratory AutomationGenomicsMicroservicesAutomated TestsDevelopment Best Practices

Tech Stack

Tools & technologies

AngularAWSAzureBootstrapCloudGoogle Cloud PlatformJavaScriptJenkinsMicroservicesMongoDBSQLTFS.NET

About the role

Key responsibilities & impact

Establish efficient and automated laboratory workflows
Work closely with scientists, software engineers, and automation engineers in lab automation and genomics
Design, code, and debug applications using C#, JavaScript, .NET Core, and SQL
Maintain front-end graphical user interface design
Conduct performance tuning, improvements, balancing, usability, and automation
Support, maintain, and document software functionality across platforms
Integrate new software with existing systems
Perform ad-hoc analysis to develop solutions to reported incidents
Implement interdisciplinary microservices, including deployment processes and automated tests

Requirements

What you’ll need

Bachelor's or Master's degree in computer science or comparable engineering discipline
Experience applying cloud solutions for scalable implementation and deployment of software products, such as Azure, AWS, or Google Cloud Platform
Software development experience in an agile programming environment
Experience with Azure SQL, MongoDB, Microsoft C#, RESTful WebApi, Angular/AngularJS, and Bootstrap
Experience in microservice architecture
Experience in cloud development such as Azure, AWS, or Google Cloud Platform
Experience with CI/CD tools such as Azure DevOps, GitHub, Jenkins, and TFS
Exposure to SOLID, architectural patterns, development best practices, unit testing, test-driven development, and mocking frameworks
Experience with Git, TFS Version Control, or other source controls