• Architect and implement automated database solutions in Azure and GCP. • Deploy, configure, and integrate native database services (Azure SQL, Azure PostgreSQL, Google Cloud SQL) and MongoDB Atlas. • Develop and maintain infrastructure-as-code using Terraform, adhering to best practices. • Build and maintain Python automation scripts for provisioning, integration, lifecycle management, and monitoring. • Apply GitOps principles to infrastructure and application deployment. • Utilize AI-assisted development tools, such as GitHub Copilot, to enhance code quality and automation. • Collaborate with cross-functional teams to define requirements and ensure compliance with governance and regulatory standards. • Optimize cloud infrastructure for performance, reliability, and cost efficiency. • Design and manage CI/CD pipelines for data workloads, including automated testing and deployment validation. • Implement cloud cost optimization strategies and performance tuning. • Document architectures, automation workflows, and operational procedures. • Troubleshoot and resolve complex issues related to data platform infrastructure and automation. • Demonstrate strong troubleshooting skills and experience operating in large-scale, enterprise cloud environments.

• Design and develop scalable cloud architectures • Implement cloud computing solutions: IaaS, PaaS, SaaS • Optimize the performance of cloud systems • Collaborate with development teams to integrate cloud solutions into existing applications • Ensure data quality and security in the cloud • Analyze business needs and propose appropriate solutions • Monitor and maintain cloud systems in production

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. 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.

• Own and evolve multi-cloud architecture across AWS and Azure • Scale a high-growth B2B SaaS platform to enterprise-grade reliability, performance, and security standards • Lead cloud security, compliance, DevOps, CI/CD, observability, and cost optimization • Architect for global expansion, portability, and system decoupling • Optimize ML and cloud compute infrastructure (including GPU/CPU workloads) • Establish scaling runbooks, KPIs, and operational best practices • Provide architectural leadership across major product initiatives • Lead and scale engineering teams while aligning infrastructure with business objectives