What are the responsibilities and job description for the Sr. DevOps Engineer (Google Cloud Platform & Kubernetes Required) position at TEKsystems c/o Allegis Group?
Job Details
100% Remote but must sit in CST or EST Time Zone
Description
We use advanced data science and AI-driven technologies to help our clients anticipate the future and take decisive actions today.
evolve24 leverages its patented predictive analytics, algorithms, and advanced capabilities in AI, ML, big data, and cognitive technologies to provide real-time anticipatory intelligence that enables the efficient achievement of strategic outcomes for its clients
JOB SUMMARY:
We're seeking a Senior DevOps Engineer to architect and manage our cloud infrastructure on Google Cloud Platform. In this role, you will:
Design and maintain Kubernetes clusters on Google Cloud Platform, ensuring high availability, scalability, and security of our infrastructure.
Support Databricks infrastructure and automate CI/CD deployment pipeline processes.
Manage infrastructure as code (IaC) using Terraform and Helm; create reproducible environments across our stack.
Monitor system performance and reliability, implementing observability solutions and incident response procedures.
Collaborate with engineering leadership, data teams and software development teams to architect scalable cloud solutions to meet scalability requirements.
Mentor DevOps engineers as appropriate.
ESSENTIAL FUNCTIONS AND RESPONSIBILITIES:
Lead infrastructure design and implementation using Kubernetes, Terraform, and cloud-native technologies on Google Cloud Platform.
Architect and optimize CI/CD pipelines for deploying applications and data workflows across environments.
Establish monitoring, logging, alerting systems to ensure platform reliability and performance.
Drive DevOps best practices, including infrastructure as code (IaC), automated testing, and security protocols.
Design scalable solutions for data platform integration between BigQuery, Databricks, and other systems.
Implement disaster recovery procedures and maintain system documentation.
Mentor team members on cloud architecture, Kubernetes, and DevOps methodologies.
Collaborate with engineering teams to resolve complex infrastructure and deployment challenges.
KNOWLEDGE, SKILLS, ABILITIES AND QUALFICATIONS:
Bachelor's degree in computer science, engineering or a related field.
7 years of experience in DevOps engineering or similar roles.
Proven track record leading complex DevOps initiatives.
Working expertise on Google Cloud Platform, Kubernetes, Terraform, Helm, Gitlab (must have).
Proven track record of implementing Gitlab CI/CD pipelines and infrastructure as code using Terraform.
Strong experience with Google Cloud Platform services, particularly GKE, and cloud infrastructure management.
Advanced knowledge of monitoring, logging, and observability solutions using tools like PrometheGrafana.
Ability to architect scalable DevOps solutions.
Deep understanding of networking, security, and system architecture principles.
Strong analytical and problem-solving capabilities.
Excellent debugging and troubleshooting abilities.
Working experience on AWS, Apache Airflow preferred.
Physical requirements/working conditions:
Standing/Walking/Mobility: Must have mobility to attend meetings remotely and in person.
Climbing/Stooping/Kneeling: 0% - 10% of the time.
Lifting/Pulling/Pushing: 0% - 10% of the time.
Fingering/Grasping/Feeling: Must be able to write, type and use a telephone system 100% of the time.
Sitting: Sitting for prolonged and extended periods of time.
Skills
Kubernetes, DevOps, Google Cloud Platform, Jenkins, Git, google cloud provider, Terraform, Python, google cloud, gitlab, github, iac, Cloud, Aws, Azure, Linux, Automation, Docker, Continuous integration, Saas
Top Skills Details
Kubernetes,DevOps,Google Cloud Platform,Jenkins,Git,google cloud provider,Terraform,Python,google cloud,gitlab,github,iac
Additional Skills & Qualifications
As a SaaS company, we focus on emotion, psychographics, resonance, information/networks/adtech, and migration
Experience Level
Intermediate Leve
Pay and Benefits
The pay range for this position is $140000.00 - $190000.00/yr.
Evolve24 full time benefits and holidays, etc. Also PTO. Work fully remote but from those time zones listed earlier
Workplace Type
This is a fully remote position.
Application Deadline
This position is anticipated to close on Mar 13, 2025.
About TEKsystems:
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
Description
We use advanced data science and AI-driven technologies to help our clients anticipate the future and take decisive actions today.
evolve24 leverages its patented predictive analytics, algorithms, and advanced capabilities in AI, ML, big data, and cognitive technologies to provide real-time anticipatory intelligence that enables the efficient achievement of strategic outcomes for its clients
JOB SUMMARY:
We're seeking a Senior DevOps Engineer to architect and manage our cloud infrastructure on Google Cloud Platform. In this role, you will:
Design and maintain Kubernetes clusters on Google Cloud Platform, ensuring high availability, scalability, and security of our infrastructure.
Support Databricks infrastructure and automate CI/CD deployment pipeline processes.
Manage infrastructure as code (IaC) using Terraform and Helm; create reproducible environments across our stack.
Monitor system performance and reliability, implementing observability solutions and incident response procedures.
Collaborate with engineering leadership, data teams and software development teams to architect scalable cloud solutions to meet scalability requirements.
Mentor DevOps engineers as appropriate.
ESSENTIAL FUNCTIONS AND RESPONSIBILITIES:
Lead infrastructure design and implementation using Kubernetes, Terraform, and cloud-native technologies on Google Cloud Platform.
Architect and optimize CI/CD pipelines for deploying applications and data workflows across environments.
Establish monitoring, logging, alerting systems to ensure platform reliability and performance.
Drive DevOps best practices, including infrastructure as code (IaC), automated testing, and security protocols.
Design scalable solutions for data platform integration between BigQuery, Databricks, and other systems.
Implement disaster recovery procedures and maintain system documentation.
Mentor team members on cloud architecture, Kubernetes, and DevOps methodologies.
Collaborate with engineering teams to resolve complex infrastructure and deployment challenges.
KNOWLEDGE, SKILLS, ABILITIES AND QUALFICATIONS:
Bachelor's degree in computer science, engineering or a related field.
7 years of experience in DevOps engineering or similar roles.
Proven track record leading complex DevOps initiatives.
Working expertise on Google Cloud Platform, Kubernetes, Terraform, Helm, Gitlab (must have).
Proven track record of implementing Gitlab CI/CD pipelines and infrastructure as code using Terraform.
Strong experience with Google Cloud Platform services, particularly GKE, and cloud infrastructure management.
Advanced knowledge of monitoring, logging, and observability solutions using tools like PrometheGrafana.
Ability to architect scalable DevOps solutions.
Deep understanding of networking, security, and system architecture principles.
Strong analytical and problem-solving capabilities.
Excellent debugging and troubleshooting abilities.
Working experience on AWS, Apache Airflow preferred.
Physical requirements/working conditions:
Standing/Walking/Mobility: Must have mobility to attend meetings remotely and in person.
Climbing/Stooping/Kneeling: 0% - 10% of the time.
Lifting/Pulling/Pushing: 0% - 10% of the time.
Fingering/Grasping/Feeling: Must be able to write, type and use a telephone system 100% of the time.
Sitting: Sitting for prolonged and extended periods of time.
Skills
Kubernetes, DevOps, Google Cloud Platform, Jenkins, Git, google cloud provider, Terraform, Python, google cloud, gitlab, github, iac, Cloud, Aws, Azure, Linux, Automation, Docker, Continuous integration, Saas
Top Skills Details
Kubernetes,DevOps,Google Cloud Platform,Jenkins,Git,google cloud provider,Terraform,Python,google cloud,gitlab,github,iac
Additional Skills & Qualifications
As a SaaS company, we focus on emotion, psychographics, resonance, information/networks/adtech, and migration
Experience Level
Intermediate Leve
Pay and Benefits
The pay range for this position is $140000.00 - $190000.00/yr.
Evolve24 full time benefits and holidays, etc. Also PTO. Work fully remote but from those time zones listed earlier
Workplace Type
This is a fully remote position.
Application Deadline
This position is anticipated to close on Mar 13, 2025.
About TEKsystems:
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Salary : $140,000 - $190,000
