Mapbox powers navigation for people, packages, and vehicles everywhere.
Senior Cloud Platform Engineer
Location
United States + 2 moreAll locations: United States, Germany, Finland
Posted
18 days ago
Salary
Not specified
No structured requirement data.
Job Description
Role Description
This role involves delivering cloud-native containerized infrastructure and deployment platforms that adhere to GitOps principles and can support dynamic business growth.
- Actively onboard AWS resources to the declarative gitops-based framework utilizing Terraform and Terragrunt.
- Maintain and troubleshoot legacy cloud infrastructure in AWS that is deployed with Cloudformation/CDK and utilizes ECS, Lambda, EMR, etc.
- Architect and promote Kubernetes deployments for new services.
- Lead migration of deployment pipelines from ECS and Cloudformation to EKS and ArgoCD.
- Architect a centralized CI pipelines framework utilizing GitHub Actions and Runs-on.
- Broadly influence and lead the Mapbox Cloud Platform strategy around AWS architecture, open-source tools and frameworks.
- Configure and maintain a comprehensive observability platform, such as Datadog or Observe, to enable real-time monitoring, alerting, and analytics.
- Promote a culture of operational excellence by testing and monitoring our systems and code, and providing on-call support for the platform services.
- Document your work and decision-making processes, and lead presentations and discussions in a way that is easy for others to understand.
- Uphold a culture of collaboration, transparency, creativity, inclusion, and data-driven decisions.
Qualifications
- 5+ years experience leveraging infrastructure-as-code frameworks to manage AWS infrastructure using Terraform, Terragrunt, Atlantis, CDK.
- 4+ years experience orchestrating containerized workloads at scale using EKS, ECS.
- 4+ years experience managing scalable CI/CD frameworks in a distributed engineering organization using Github Actions.
- Strong expertise with Kubernetes, ArgoCD, Istio.
- Proven ability to design and develop cost efficient, secure, and durable solutions on AWS using EKS, ECS, EC2, Lambda, Fargate, CloudFront, IAM, Route53, DynamoDB.
- Proficient in at least one programming language, such as Python, Nodejs, GoLang.
- Experience configuring and managing observability systems in a distributed large-scale environment using Datadog, CloudWatch, or similar.
- Experience with incident response practices including blameless post-mortems and resilience engineering concepts.
- A desire to share your expertise through documentation, mentorship, and both written and vocal discussion.
- Ability to work asynchronously and independently with minimal supervision, lead by example, and make decisions based on priorities and business goals.
Company Description
Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere.
- More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance.
- Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.
Job Requirements
- 5+ years experience leveraging infrastructure-as-code frameworks to manage AWS infrastructure using Terraform, Terragrunt, Atlantis, CDK.
- 4+ years experience orchestrating containerized workloads at scale using EKS, ECS.
- 4+ years experience managing scalable CI/CD frameworks in a distributed engineering organization using Github Actions.
- Strong expertise with Kubernetes, ArgoCD, Istio.
- Proven ability to design and develop cost efficient, secure, and durable solutions on AWS using EKS, ECS, EC2, Lambda, Fargate, CloudFront, IAM, Route53, DynamoDB.
- Proficient in at least one programming language, such as Python, Nodejs, GoLang.
- Experience configuring and managing observability systems in a distributed large-scale environment using Datadog, CloudWatch, or similar.
- Experience with incident response practices including blameless post-mortems and resilience engineering concepts.
- A desire to share your expertise through documentation, mentorship, and both written and vocal discussion.
- Ability to work asynchronously and independently with minimal supervision, lead by example, and make decisions based on priorities and business goals.
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