Digital Engineering-Software Architect- 4344

As a Platform Engineer / Site Reliability Engineer (SRE) with Ascension Technologies, you will play a critical role in designing, building, and operating the infrastructure and automation that support our suite of cloud-native enterprise applications in the rapidly evolving healthcare technology landscape. You will be part of a collaborative engineering team focused on ensuring our platforms are scalable, secure, reliable, and efficient - enabling clinicians and patients to access technology that sustains and improves health outcomes.

Responsibilities:

- Design, implement, and maintain scalable, secure, and highly available cloud infrastructure using Infrastructure-as-Code (IaC) tools and modern Dev Ops practices.

- Build and optimize CI/CD pipelines using tools such as Jenkins, Git Hub Actions, Maven, and JFrog to ensure fast, reliable, and repeatable software delivery.

- Develop and manage containerized application environments with Kubernetes, ensuring optimal deployment, scalability, and service reliability.

- Automate infrastructure provisioning, configuration, and deployment processes to improve operational efficiency and reduce manual interventions.

- Design and implement comprehensive monitoring, alerting, and observability solutions to ensure system health, performance, and reliability.

- Collaborate closely with development, product, QA, and security teams to design robust platform solutions aligned with business and technical requirements.

- Participate actively in Agile ceremonies such as daily stand-ups, sprint planning, demos, and retrospectives, driving continuous improvement and team collaboration.

- Contribute to operational support processes, including incident response, root cause analysis, capacity planning, and performance optimization for large-scale distributed systems.

Required Experience:

- Infrastructure as Code & Automation:
Minimum of 5 years of hands-on experience with tools such as Terraform and Ansible for building and managing infrastructure as

code, and CI/CD automation tools like Jenkins, Git Hub, Maven, and JFrog.

- Cloud Platforms (Google Cloud Platform - Must Have):
Proven hands-on experience deploying and managing infrastructure and services on Google Cloud Platform (Google Cloud Platform) is required. Strong knowledge of Google Cloud Platform networking, IAM, security, cost optimization, and core services (e.g., Cloud Run, Pub/Sub, GKE, Firestore) is essential. Experience with AWS or Azure is a plus but not a substitute.

- Containerization & Orchestration:
Strong experience deploying, scaling, and managing containerized applications using Kubernetes, including service mesh, auto-scaling, and rolling update strategies.

- Programming & Scripting:
Proficiency in one or more programming or scripting languages such as Python, Go, Java, C++, Perl, Ruby, or SQL, with the ability to automate workflows and optimize infrastructure operations.

- Operational Excellence:
Experience designing and implementing operational support models, including incident response, root cause analysis, monitoring, and alerting strategies.

- Dev Ops & SRE Practices:
Demonstrated experience with reliability engineering practices such as capacity planning, fault tolerance, and resilience design.

- Agile Development Practices:
Experience working in Agile environments with familiarity in sprints, daily stand-ups, planning sessions, and retrospectives.

- Education:

Bachelor's degree in Information Systems, Information Technology, Computer Science, Engineering, or a related field - or equivalent work experience.

Required Experience:

- Infrastructure as Code & Automation:
Minimum of 5 years of hands-on experience with tools such as Terraform and Ansible for building and managing infrastructure as

code, and CI/CD automation tools like Jenkins, Git Hub, Maven, and JFrog.

- Cloud Platforms (Google Cloud Platform - Must Have):
Proven hands-on experience deploying and managing infrastructure and services on Google Cloud Platform (Google Cloud Platform) is required. Strong knowledge of Google Cloud Platform networking, IAM, security, cost optimization, and core services (e.g., Cloud Run, Pub/Sub, GKE, Firestore) is essential. Experience with AWS or Azure is a plus but not a substitute.

- Containerization & Orchestration:
Strong experience deploying, scaling, and managing containerized applications using Kubernetes, including service mesh, auto-scaling, and rolling update strategies.

- Programming & Scripting:
Proficiency in one or more programming or scripting languages such as Python, Go, Java, C++, Perl, Ruby, or SQL, with the ability to automate workflows and optimize infrastructure operations.

- Operational Excellence:
Experience designing and implementing operational support models, including incident response, root cause analysis, monitoring, and alerting strategies.

- Dev Ops & SRE…