Responsibilities:

Apply technical knowledge and problem-solving methodologies with a focus on improving the data and systems running at scale and ensuring end-to-end monitoring of applications.
Consider upstream/downstream data and systems or technical implications
Execute making significant decisions for a project consisting of multiple technologies and applications.
Be a team player and assist other team members as required.
Adds to a team culture of diversity, equity, inclusion, and respect.
Work on software upgrades to modernize infrastructure and eliminate technical debt.
Troubleshoot customer issues by being a part of the L3 production support rotation.
Work on bug fixes, features, and upgrades to assist the application development team if needed.
Improve observability and reliability of the Edge Clinical Workflow platform.

Capabilities and Skills:

Hands-on application development experience with Java or Kotlin.
Strong knowledge of one or more infrastructure disciplines such as networking and telephony, observability, site reliability engineering, deployment and integration, scaling, and resiliency.
Ability to investigate and resolve customer issues by breaking down technical problems and barriers.
Hands-on experience with Terraform or other infrastructure as code technologies.
Knowledge of Observability tools a plus (Datadog, Grafana, Dynatrace, Splunk, etc.).
Experience working on the support of products/interaction with internal and external customers.
Knowledge of databases is a strong plus (AWS Aurora preferred).
Hands-on experience with CI/CD pipelines.
Hands-on experience with GitHub and code reviews.
Ability to multitask and learn new tools and technologies as required.
Strong communication skills, verbal, written, ability to drive meetings and knowledge sharing sessions to teams.
Experience with multiple cloud technologies with the ability to operate in and migrate across public and private clouds.
Strong self-starter with a drive to develop knowledge in additional domains, tools, and technologies as needed.
Knowledge of Agile development methodology and hands-on experience with tools like Jira & Confluence.

Minimum and Preferred Qualifications:

Bachelor s degree in computer science, Engineering, or a related field.
5+ years of work experience in technology with hands-on development experience in Java or Kotlin.
3+ years of experience on a major public cloud platform (AWS preferred).
Knowledge of Networking protocols (CUCM and/or certification like CCNP preferred.

Staff Engineer