Job Description :
Sr. DevOps Engineer

Location : San Ramon,CA

Local candidates based in CA for roles in San Ramon

Essential Responsibilities:

Makes technology choices at individual level and has ability to analyze impact.

Expert at applying principles of SDLC and methodologies like Lean/Agile/XP, CI, Software and Product Security, Scalability, Documentation Practices, refactoring and Testing Techniques.

Able to document procedures for building and deploying. Able to assess code, build it, and run applications locally on his/her own.

Experience with creating and maintaining automated build tools. Profiles build process and identifies bottlenecks.

Demonstrates expertise in writing scripts to automate tasks. Implements Continuous Integration/Deployment build principles.

Provides expertise in the quality engineering, test planning and testing methodology for a software project.

Helps businesses develop an overall strategy for deploying code.

Contributes to planning and strategy with his/her ideas.

Draws off experience in order to influence others.

Qualifications/Requirements:

Basic Qualifications:

Bachelor’s Degree in Computer Science or in “STEM” Majors (Science, Technology, Engineering and Math)
A minimum of 5 years of mandatory professional experience in Build Automation with hands on experience in AWS Cloud Infrastructure

Desired Characteristics:

Technical Expertise:

Work with cross-functional (process, design, build, test) teams to support product development

Experience operating in a highly secure environment that conforms to various regulatory requirements and industry
best practices;

Healthcare domain and IT Systems Acumen: Understand the data IT systems in hospitals (e.g. PACS, Devices,
Monitoring Solutions)

AWS Certification in any of the following: Solution Architect, Developer, System Ops is highly desirable.

Professional commitment to high quality, and a passion for learning new skills.

Strong problem-solving skills, including providing simple solutions to complex situations.

Must be a strong team player with the ability to communicate and collaborate effectively in a geographically disperse
working environment.

Familiarity with Deep Learning/Machine Learning concepts.

Familiarity with QMS process.

Needs to apply operational rigor for continuous improvement of products to ensure Product quality & DevOps best
practices.

Be an expert at developing Continuous Integration pipeline to build, deploy, test product features on AWS and on-
prem systems.

Work with stakeholders to create a roadmap of improvements, own execution of the roadmap as well as ways to
prioritize interrupt activities.

Must have proven experience implementing, managing fault-tolerant, scalable Kubernetes clusters on demand in
public clouds and on-premises

Strong experience with IaaS and PaaS, Linux-based system skills with practical experience operating in a Cloud or
virtualized environments

Continuous Integration and Deployment experience using a wide variety of open source technologies and Cloud
services

Experience in building sophisticated and highly automated infrastructures using infrastructure automation tools such
as Ansible, Terraform, Chef, AWS Cloud Formation

Proficient with the AWS stack of services including but not limited to compute (EC2, ECR, ECS, EKS etc), Severless
(Lambda), API Gateway, Storage (S3), Database (RDS, DynamoDb etc), Management (CloudWatch, Autoscaling etc),
Machine Learning (SageMaker), Deployment technologies (Docker, Kubernetes)

Adept at Infrastructure Capacity Planning, Cost to Serve analysis, release management, infrastructure administration
and maintenance tasks on Cloud and on-premise

Experience with monitoring tools such as Datadog, Graphite, Grafana, Prometheus

Demonstrable experience with CI-CD, automation of build and deployment pipelines using Gitlab/Github, Jenkins,
SonarQube, JFrog Artifactory, Helm

Strong Java & scripting skills (Python, Bash, PowerShell, Ruby and/or Perl);

Familiarity with service mesh, Istio, Envoy, ALB/ELB, Authentication and Authorization mechanisms

Knowledge of Python packaging formats and libraries such as Setuptools, Wheel.