Kubernetes Engineer
HomeAboutAdaptive AIIndustriesConsulting Jobs PortalContact UsHomeAboutAdaptive AIIndustriesConsulting Jobs PortalContact UsJob Description
Job Overview
Job ID: J54746Job Title:
Kubernetes Engineer
Location: Manassas, VA
Duration: 9 Months + Extension
Domain Exposure: Telecom
Client: To Be Discussed Later
Employment Type: W-2, 1099, C2CWork Authorization:
- US Citizen, Green Card, H-1B, OPT-EAD, CPT, OtherView All Jobs
- Similar Jobs
- Kubernetes Administrator - Rosemead, CAKubernetes Engineer - North Charleston, SCAzure Kubernetes Engineer - Houston, TXAWS DevOps Engineer/Kubernetes Engineer - Alpharetta, GA. Net Lead Role (Kubernetes, Docker) - Fort Mill, SC
Job Title: Kubernetes Engineer
Location: Manassas, VA
Duration: 9 Months + Extension
Bill Rate: $67/hour (C2C)
Job Type: W-2, 1099, C2CClient: To Be Discussed Later
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, OtherJob Summary
This organization is seeking a skilled software and systems professional to serve as a Kubernetes Engineer focusing on platform defense. The successful candidate will design, implement, and secure containerized infrastructure while developing defensive controls for resilient operations. This role leverages expertise in secure software development and container security to strengthen platform defenses and manage vulnerabilities across mission-critical environments.
Key Responsibilities:
Evaluate cluster architectures for security vulnerabilities, configuration weaknesses, and compliance gaps.
Implement and manage cluster security features including CIS benchmark configurations, FIPS-compliant deployments, and etcd encryption.
Configure and maintain Kubernetes audit logging, Admission Controllers, Pod Security Standards, and Role-Based Access Control.
Design and implement network segmentation and secure communication policies.
Develop secure operational practices for cluster lifecycle management, upgrades, and patching activities.
Support active threat hunting, vulnerability management, and incident response operations.
Collaborate on security monitoring, detection engineering, and SIEM integration.
Apply Zero Trust Architecture principles to containerized and cloud-native platforms.
Required Qualifications
Education:
Bachelor's degree in Computer Science, Information Technology, or a related technical field.
Experience:
Five or more years of software engineering experience utilizing Java or C++, alongside three or more years of experience administering and securing Kubernetes-based environments. Technical SkillsProven hands-on experience deploying, supporting, and hardening RKE2 clusters in production. Demonstrated expertise in threat modeling, vulnerability management, and identity and access management. Strong familiarity with security compliance frameworks such as NIST, CIS, RMF, and FedRAMP.Apply NowEqual Opportunity Employer We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law. Home|About|Adaptive AI|Industries|Consulting |Contact Us© 2004-2026, Machine Learning Technologies LLC, or its affiliates