About Vericence:

Vericence is a digital engineering and technology consulting firm helping enterprises build AI-driven platforms, modernize legacy systems, and scale innovation through cloud, data, and intelligent engineering. We partner with global organizations to deliver high-impact technology solutions and build world-class engineering teams.

Job Summary: This position encompasses operational support and systems engineering disciplines. The operations side includes the normal day to day tasks associated with a support role including troubleshooting issues, systems lifecycle maintenance, and participation in the on-call rotation. The engineering side is primarily designing and implementing Infrastructure As Code (IAC) and Kubernetes (k8s) based solutions for a variety of MPI teams. Tying these together is the dedication to identifying, documenting, and automating processes be they technical or business with the goal of making IT and Container support increasingly reliable and more efficient.

Job Roles and Responsibilities:

1. Identify, document, and automate business and technical tasks for internal and external teams using tools appropriate for the scenario which can include 3rd generation programming languages and automated configuration/deployment tools.
2. Manage priorities to ensure all team, customer, and business objectives are met on time and within budget.
3. Identify departmental needs and make suggestions regarding technical direction, future upgrades and technologies and identify automation opportunities when applicable.
4. Complies and assures compliance with all relevant governmental regulations and company policies.
5. Assist with generation and maintenance of all documentation and processes related to systems operations, maintenance, and audits.
6. Collaborates on and facilitates the adoption of containerized applications, Kubernetes, and DevSecOps culture.
7. Assists with the maintenance of vendor support contracts to ensure system availability and in support of corporate security policies and audit requirements.
8. Analyze users' needs, respond to customer service requests and provide production support coverage.
9. Collaborate, coordinate, and communicate across disciplines and departments.
10. Please note due to the exposure of PHI sensitive data – this role is considered to be a High Risk and Privileged Role.
11. The position responsibilities outlined above are in no way to be construed as all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary.

Core skillset:

Kubernetes – AKS/EKS/OKE

CKA Certificate

Cloud (OCI/AWS/Azure)

IAM

Rancher

Docker

Ansible

Linux – Redhat/Ubuntu/Oracle Linux 7/8/9

DevOps knowledge – Jenkins/GitHub Actions

Artifactory/Private Container Registry

Container Instance/Functions

JOB SCOPE:

The incumbent works under minimal supervision and exercises discretion when making decisions related to job responsibilities. Work requires a broad range of knowledge gained through experience, work is varied and complex, and requires independent judgment to identify issues, trends & problems, and recommend action plans, evaluate results, and present to management in a timely manner. The incumbent works with internal and external sources to complete objectives, keeping the needs of external and internal customers as a priority when making decision and taking actions.

JOB REQUIREMENTS (Education, Experience, and Training):

1. Bachelor’s degree required with an emphasis in Computer Science or equivalent and a minimum of 3 years’ experience.
2. Must excel in coordination of problem resolution and keeping management and business units informed.
3. Must work well under pressure and changing priorities.
4. Ability to maximize the use of the available technology, welcome new technology, and stay abreast of the latest technologies.
5. Experience with Kubernetes Cluster Orchestration & Support required.
6. Experience with Rancher required.
7. Experience with the Lifecyle Management of Kubernetes Clusters which includes Upgrades and Implementation of Best Practices is required.
8. Experience with Kubernetes Cluster Optimization and Performance Tuning required.
9. Experience with Service Mesh (Istio, Linkerd, etc.) preferred.
10. Exposure to API Gateways (Kong) will be a benefit.
11. Experience with AWS EKS required.
12. Experience / Certification for skills related to Azure/AWS/OCI Cloud(s) are preferred but not required.
13. Experience with Observability Tools such as Grafana, Prometheus, Elastic Stack, Open-Source Tracing Tools are a benefit.
14. Experience with Troubleshooting Kubernetes Issues related to resources deployed on the cluster, Network issues, and CI/CD pipeline is a requirement.
15. Experience with Networking Stack TCP/IP and Kubernetes Cloud Load Balancers is a requirement.
16. Experience with Container Security and DevSecOps Practices will be a benefit.
17. Experience with Redhat Enterprise Linux or an OEM variant required. Experience with additional UNIX/Linux operating systems will be a benefit.
18. Experience with developing Infrastructure As Code (IAC) and related pipeline strategy using Ansible, Terraform, GitHub Actions, or Azure DevOps is a nice to have.
19. Experience with automated configuration management and automated deployment tools are required.
20. Proven capability in a 3rd generation programming language such as Perl, Python, or Go.
21. Experience with containerization technologies including docker and Kubernetes are required.
22. Proven ability to identify, document, and automate technical and business processes.
23. Communication (verbal, written and listening), collaborative, leadership, mentoring, organization, technical, interpersonal, time management and problem-solving skills.
24. Ability to manage and lead resources to maximize the use of the available technology, welcome new technology, and stay abreast of the latest technologies.
25. Ability and availability to work an “on call” support schedule as required.
26. Ability to work independently as well within a team and with client users.
27. Ability to manage resources to understand and apply a wide range of technologies.

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