• These applications leverage cloud computing, big data, mobile, data science, data warehousing, machine learning using state of the art software development applications and frameworks.
• Our Software Engineers ensures that these cloud-based micro-services adhere to uptime and accuracy targets, are resilient, and scale as data volumes and traffic increase.
• They work closely with the data engineering, platform, and solutions teams to develop applications as required to benefit our practice and patients.
• Works closely with the Product Owners, Product Managers, Architects to translate requirements into code.
• Developing services around data warehousing, big data, cloud computing, business intelligence, analytics and machine learning.
• Participate in DevOps, Agile, continuous development and integration frameworks.
• Programming in high-level languages such as Go, Python, Java etc.
• Work on deployment automation/configuration management with tools including but not limited to ADO, Puppet, Chef or Ansible or Azure Pipelines, CloudFormation, Terraform following a DevOps model.
• Ensure all appropriate documentation of processes and source code is created and maintained.
• Communicate effectively with peers, leaders, and customers throughout the organization.
• Participate in expert level troubleshooting and resolve problems through root cause analysis, data and system investigation.
• Continues to build knowledge of the organization, processes and customers.
• Performs a range of mainly straightforward assignments. Uses prescribed guidelines or policies to analyze and resolve problems.
• Receives a moderate level of guidance and direction.

• Have in-depth knowledge of software engineering with experience coding applications or services in Java 17+ with Spring Boot and Angular 17+ and a basic knowledge of related fields.
• Knowledge of professional software engineering practices and best practices for the full software development life cycle (SDLC), including architecture, design, implementation, coding standards, code reviews, source control management, build processes, testing, operations, and documentation.
• Experience designing applications in hybrid environments, including on-premises systems, Azure, and Google Cloud Platform (GCP).
• Knowledge of DevOps pipelines and CI/CD using Azure DevOps, GitHub Actions, or Azure Pipelines.

• Demonstrated problem solving expertise, excellent verbal and written communication skills, and effective and efficient time management and prioritization skills. 
• Proven skills in taking business requirements and formulating those into application solutions. 
• Experience developing RESTful APIs, microservices, and web services. 
• Background in developing high-performance, scalable, and highly available distributed systems. 
• Experience with relational and NoSQL databases, analytics platforms, big-data processing, business intelligence, or enterprise data pipelines. 
• Utilization of AI coding tools such as GitHub Copilot, Gemini, Claude. 
• Experience with Agile software development techniques.
• Experience supporting or developing solutions in healthcare, clinical, laboratory, or bioinformatics-focused applications is highly desirable.
• Experience migrating existing applications to cloud platforms is also desirable. Genomics Pipeline Area: Required: 
• Knowledge of Python, BASH, and other scripting and Linux/Unix tools. -Knowledge of bioinformatics applications and tools and pipelines such as Illumina BCL Conversion, Genomic Aligners and Variant callers such as GATK or Sentieon.
• Demonstrated ability to learn new scripting languages and tools quickly 
• Knowledge of Nextflow or other pipeline management software.
• Previous knowledge of Genetics software pipelines and tooling for the laboratories 
• Must possess excellent analytical, problem-solving, and technical design skills. 
• Must have knowledge of system architecture and design principles, software development methodologies, and computer programming. 
• Must be willing to work in an Agile team environment as well as being comfortable working independently with minimal supervision 
• Experience with clustered/distributed environments using Oracle Grid Engine is highly desirable. 
• Familiarity with cloud integration CLI tooling such as awscli, gcloud, and azurecli is a plus. 
• Candidate with genomics domain expertise and some exposure to clinical or research laboratory work and equipment are highly desirable

• Required qualifications for this position include: Bachelor's Degree in Computer Science/Engineering or related field with 5 years of experience as noted below; OR an Associate's degree in Computer/Science/Engineering or related field with 7 years of experience.
• Have in-depth knowledge of software engineering with experience coding applications or services in a high-level language (C, C++, Golang, Java, C# etc.) and a basic knowledge of related fields.
• Demonstrated problem solving and time management skills.
• Possesses strong technical aptitude for designing and implementing software solutions.
• Experience with modern application development frameworks
• Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
• Deep hands-on technical expertise, excellent verbal and written communication skills.
• Experience with Agile software development techniques.

Additional Information:

• Location: Remote/Telework
• Contract Type: W2

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