Kubernetes Networking Platform Engineer
Mindlance
8 days ago
On-site
Bethesda, Maryland, United States
Position Title: Kubernetes Networking Platform Engineer
Location: Hybrid - Bethesda, MD
Duration: Long Term Assignment
We are transforming the way technology is managed at client side. Automation, DevOps, and long-term product iteration will be the new standards as we seek to enable rapid innovation, speed-to-market, and proactive security and operations. With leaders who have driven this transformation elsewhere, we need engineers who are excited about evolving the organization and setting the gold standard. We are early in this journey and thought leadership, with the ability to bring others along, is key.
CANDIDATE PROFILE:
Preferred:
EEO:
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
Location: Hybrid - Bethesda, MD
Duration: Long Term Assignment
JOB SUMMARY:
The Kubernetes Networking Platform Engineer will support the delivery and operations to deploy and scale the Kubernetes Platform. This person will join a team of engineers building out this platform for the enterprise. This role will code solutions for an enterprise Kubernetes as a self-service platform. Supported by a team of engineers, the ideal candidate has some experience engineering large scale platform-as-a-service products and is skilled in solving problems through coding.We are transforming the way technology is managed at client side. Automation, DevOps, and long-term product iteration will be the new standards as we seek to enable rapid innovation, speed-to-market, and proactive security and operations. With leaders who have driven this transformation elsewhere, we need engineers who are excited about evolving the organization and setting the gold standard. We are early in this journey and thought leadership, with the ability to bring others along, is key.
CANDIDATE PROFILE:
Education and Experience
Required:- Bachelor’s degree in an engineering or computer science discipline and/or equivalent experience/certification
- 7+ years’ overall technology experience with a blend of deep technical knowledge and a customer-focused mindset that includes:
- 3+ years in an engineering role as a strategic thinker that relates technology solutions to customer use cases
- 3+ years’ experience with Public Cloud technology stacks such as AWS, Azure, GCP or Alibaba.
- Experience with containers–Kubernetes solution design, deployment, management and orchestration across multi-cloud environment
- Experience driving highly technical architecture, and driving outcomes with automation through Infrastructure as Code using Terraform, Helm, and GitOps
- Ability to design end to end architecture that supports 99.99% service availability with performance and cost considerations
Preferred:
- Familiarity with at least one higher level programming language: Go, Java, Python, or similar
- Solid technical knowledge of current & emerging infrastructure systems & standards
- Knowledge of the best available tools, software, applications, and systems for attaining best-in-class technology platforms across the enterprise.
- Ability to create constructive relationships, influence, and communicate (to product team, engineering management, and non-technical staff).
- Experience in the design, implementation and operational support of mission critical solutions
- Demonstrated experience delivering technology solutions in a fast-paced, deadline driven enterprise environment
- Demonstrated experience learning and applying new technologies to solve business needs
- Infrastructure DevOps experience including self-healing methodologies
- Deploy, automate, maintain, and manage cloud infrastructure to ensure security, performance, and availability of production systems.
- Maintains cloud and automation operational metrics.
- Code solutions to continuously improve products and solutions to be scalable and highly available.
- Automate everything, from right sizing (VM, Disks, Storage Tiers), self-service and real-time spend visibility.
- Review issues logs and metrics and help implement solutions.
- Maintain in-depth documentation of activities and system configuration.
- Perform troubleshooting, resolution, and problem analysis.
- Maintain industry knowledge and enhance subject matter expertise, identify trends and changes in technology and automation strategies.
- Provide peer reviews/feedback frequently and fosters a modern engineering culture.
EEO:
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”