Software Engineer (Backend) - Essex Management

Summary

Emmes Group is a clinical research organization that combines scientific expertise with technology to advance healthcare and global health. The Software Engineer (Backend) will develop and deploy scalable enterprise and informatics software systems supporting cancer clinical trials and research, while collaborating in an Agile engineering environment and contributing to documentation, mentoring, and engineering practice improvements.

Responsibilities

• Manage individual task priorities, deadlines, and deliverables
• Develop scalable, reliable, and performant enterprise-level software systems and services for our clients, using an Object-Oriented programming language and software libraries/framework
• Write well-tested and maintainable code leveraging unit, integration, and BDD tests
• Contribute to project documentation, including architecture diagrams, sequence diagrams, API documentation, and technical SOPs
• Participate in SCRUM Sprint planning, standup, review, and retrospective meetings
• Work in a collaborative cross-functional team environment to move features (JIRA tasks) across all tiers in a CI/CD Agile SCRUM environment
• Be a proactive part of the software engineering team, looking to make improvements to our engineering practices
• Shadow senior team members during interviews
• Contribute to mentoring junior members of the team

Skills

• Strong communication skills (oral and written)
• Experience coding in Python, Java, Ruby, or comparable programming languages
• Experience building enterprise software systems that run in AWS Cloud environment using technologies such as ECS, Lambda, SQS, SNS, S3, API Gateway, DynamoDB, OpenSearch, Aurora PostgreSQL, Neptune, DocumentDB, CDK
• Experience developing software systems with a backing relational and/or NoSQL databases using ORM libraries such as sqlaclhemy
• Experience developing microservices with RESTful API and/or grpc to exchange data via JSON, XML, and other data exchange formats
• Experience integrating with Okta and additional 3rd party systems
• Experience working in an agile development environment with methodologies such as SCRUM or Kanban
• Experience using Git, GitHub, and GitHub Actions
• 2+ years of software development experience in one or more programming languages and with data structures/algorithms
• Possession of a Bachelor or Graduate degree in a technical field such as Computer Science from an accredited college or university (according to CHEA)
• Experience with AI-assisted engineering practices and tools such as GitHub Copilot, Codex, or Claude Code, as well as conducting efficient and accurate code reviews of AI-generated code
• 2-5 years of experience building enterprise software systems that run in a Production AWS Cloud environment
• 1-2 years of working with a CI/CD pipeline using Git, GitHub, and GitHub Actions (or similar tools)
• Cloud development or architect certification is a plus
• Experience with Google Cloud Platform (GCP) and Microsoft Azure is a plus
• Experience with container and orchestration technologies such as Docker and Kubernetes are a plus

Qualifications

Must Haves

• Strong communication skills (oral and written)
• Experience coding in Python, Java, Ruby, or comparable programming languages
• Experience building enterprise software systems that run in AWS Cloud environment using technologies such as ECS, Lambda, SQS, SNS, S3, API Gateway, DynamoDB, OpenSearch, Aurora PostgreSQL, Neptune, DocumentDB, CDK
• Experience developing software systems with a backing relational and/or NoSQL databases using ORM libraries such as sqlaclhemy
• Experience developing microservices with RESTful API and/or grpc to exchange data via JSON, XML, and other data exchange formats
• Experience integrating with Okta and additional 3rd party systems
• Experience working in an agile development environment with methodologies such as SCRUM or Kanban
• Experience using Git, GitHub, and GitHub Actions
• 2+ years of software development experience in one or more programming languages and with data structures/algorithms
• Possession of a Bachelor or Graduate degree in a technical field such as Computer Science from an accredited college or university (according to CHEA)

Nice to Haves

• Experience with AI-assisted engineering practices and tools such as GitHub Copilot, Codex, or Claude Code, as well as conducting efficient and accurate code reviews of AI-generated code
• 2-5 years of experience building enterprise software systems that run in a Production AWS Cloud environment
• 1-2 years of working with a CI/CD pipeline using Git, GitHub, and GitHub Actions (or similar tools)
• Cloud development or architect certification is a plus
• Experience with Google Cloud Platform (GCP) and Microsoft Azure is a plus
• Experience with container and orchestration technologies such as Docker and Kubernetes are a plus

Benefits

• Mostly remote within the US