Kubernetes Container Platform Engineer (PaaS & CaaS)
Salary undisclosed
Checking job availability...
Original
Simplified
We are seeking a Kubernetes Container Platform Engineer (PaaS & CaaS) in Jersey City, NJ(Onsite).
Summary
The client is seeking a Kubernetes Container Platform Engineer (PaaS & CaaS) for a role based in Jersey City, NJ. The ideal candidate will have a strong background in container platforms (especially Kubernetes), automation, infrastructure as code, and cloud technologies.
The ideal candidate will have strong programming/scripting skills (preferably in Go and Python), experience with container observability tools, and a deep understanding of cloud-based platforms, CI/CD pipelines, and policy engines. They should also be comfortable working with a global engineering team and have experience designing and supporting scalable, automated platforms for developers and DevOps teams.
Job Purpose
This role is Kubernetes platforms and infrastructure as a code automation related, so If you have that skill set, please read on.
You will work with the engineering team on infrastructure and also consuming Public cloud infrastructure to meet the team plans of self-service automation and orchestration. You will perform several functions from VMware/Pivotal bosh operations and Kubernetes Container Platforms Administration and operations, client onboarding, upgrades and changes. Furthermore, you will be involved in Globalizing the Platform Services offering and standardizing those platform deployments across the enterprise.
The container platform engineer builds and is responsible for the primary platform services needed to meet the full lifecycle of container platforms and ease consumption of those Platform services for our community of 20,000+ developers, devops teams. Working as a member of this small, agile team of highly skilled Architects and engineers.
Principal Duties & Responsibilities
Benefits: Danta offers a compensation package to all W2 employees that are competitive in the industry. It consists of competitive pay, the option to elect healthcare insurance (Dental, Medical, Vision), Major holidays and Paid sick leave as per state law.
The rate/ Salary range is dependent on numerous factors including Qualification, Experience and Location.
Summary
The client is seeking a Kubernetes Container Platform Engineer (PaaS & CaaS) for a role based in Jersey City, NJ. The ideal candidate will have a strong background in container platforms (especially Kubernetes), automation, infrastructure as code, and cloud technologies.
The ideal candidate will have strong programming/scripting skills (preferably in Go and Python), experience with container observability tools, and a deep understanding of cloud-based platforms, CI/CD pipelines, and policy engines. They should also be comfortable working with a global engineering team and have experience designing and supporting scalable, automated platforms for developers and DevOps teams.
Job Purpose
This role is Kubernetes platforms and infrastructure as a code automation related, so If you have that skill set, please read on.
You will work with the engineering team on infrastructure and also consuming Public cloud infrastructure to meet the team plans of self-service automation and orchestration. You will perform several functions from VMware/Pivotal bosh operations and Kubernetes Container Platforms Administration and operations, client onboarding, upgrades and changes. Furthermore, you will be involved in Globalizing the Platform Services offering and standardizing those platform deployments across the enterprise.
The container platform engineer builds and is responsible for the primary platform services needed to meet the full lifecycle of container platforms and ease consumption of those Platform services for our community of 20,000+ developers, devops teams. Working as a member of this small, agile team of highly skilled Architects and engineers.
Principal Duties & Responsibilities
- Design, implement and operate container services platform with a focus on integrating these platforms with other tools using good Continuous Integration (CI) and continuous Delivery (CD) pipelines.
- Uses automation to make your job more efficient. You have an obsessive need to automate. You are offended when you have to do anything manually more than once.
- Is meticulous and cautious. You identify and consider all risks, and balance those with performing the task efficiently.
- Analyze, diagnose, replicate, solve and resolve technical issues reported by customer using the PaaS and CaaS platforms.
- Write maintainable reusable software and always think self-served from consumer perspective.
- Advance unresolved issues that require more in-depth knowledge in a timely manner
- Take ownership, handle and maintain status on support requests from the business unit customers
- Report and submit product defects and work with other engineering groups to triage customer/business unit issues
- Build and peer review knowledgebase articles and product documentation
- Demonstrated competency in a programming/scripting Language, with a strong preference for Go experience and Python.
- Experience designing and implementing Infrastructure as code API's using interface definition tools like Swagger Strong understanding of Virtual computing environments and concepts such as Hypervisors and load balancing concepts.
- Demonstrated understanding of, And preferably hands-on experience, with Identity management, Access Management, Certificate management.
- Experience designing and implementing containerized infrastructure logging and observability tools such as Splunk, Fluentd/Fluentbit, Prometheus/Grafana/Alert manager Suite, Wavefront, APPD.
- Experience with .net core and .net framework
- Experience with Open policy Agents or other policy engines.
Benefits: Danta offers a compensation package to all W2 employees that are competitive in the industry. It consists of competitive pay, the option to elect healthcare insurance (Dental, Medical, Vision), Major holidays and Paid sick leave as per state law.
The rate/ Salary range is dependent on numerous factors including Qualification, Experience and Location.