Safeguard Global
PlatformEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Platform Engineer at Safeguard Global. Skills: AWS cloud platforms, CI/CD pipelines, DevSecOps, microservices, serverless, event-driven architectures, ETL and cloud-based data pipelines, Infrastructure as Code, Python, Bash, Linux administration. design, build, and manage secure, scalable, and resilient cloud platforms on AWS. design, deploy, and manage scalable, highly available AWS cloud infrastructure”
Industry & Context.
problem-solving ability; analytical thinking; troubleshoot production issues; perform root cause analysis
What They're Looking For.
Must Have
experience designing and engineering solutions on AWS cloud platforms, building modern CI/CD pipelines and embedding DevSecOps best practices into delivery workflows, creating and managing robust ETL and cloud-based data pipelines, Infrastructure as Code capabilities using Terraform, CloudFormation, or similar tools, scripting and automation skills with Python, Bash, or related languages, Solid Linux administration and troubleshooting experience in production environments, Good understanding of networking concepts including DNS, VPCs, load balancers, and firewalls, A degree in Computer Science, Engineering, or equivalent hands-on industry experience
Nice to Have
Deep understanding of microservices, serverless, and event-driven architectures at scale, A passion for building resilient, secure, and highly available cloud environments
What You'll Do.
and resilient cloud platforms on AWS
highly available AWS cloud infrastructure
build and maintain secure cloud platforms with governance and standardization
architect and support microservices
and event-driven systems
implement and optimize CI/CD pipelines with integrated DevSecOps practices
embed security controls including IAM
vulnerability scanning
and compliance checks
develop and manage Infrastructure as Code using Terraform or CloudFormation
improve system resiliency through high availability
and fault tolerance strategies
build and manage ETL pipelines and data workflows in cloud environments
apply SRE principles including monitoring
and capacity planning
automate operational workflows using Python
or other scripting languages
support AI/ML workloads by enabling scalable infrastructure
inference and security
implement and maintain MLOps pipelines for model versioning
integrate model monitoring
and drift detection in production environments
troubleshoot production issues and perform root cause analysis
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams; collaborate across the world; Interact, discover cultures, and tap into local expertise
Communication Scope
clear communication skills
Full Job Description
**Ready to join the future of work?** Come join a remote and hybrid first*, global company spanning across the Americas, Europe, Asia _,_ and Africa for **A Job That Works for You.** You will become among 900+ Guardians worldwide spread across 50+ countries, embracing YOUR unique approach to work. 🌎 Our vision of the future of work is **“ work in any way”** which offers flexibility for where you work, empowering you to define your ideal work environment, unbound by the traditional notions of what work should look like. Most importantly, it puts people first! 🤩 (*As standard we are a remote-first company, however some roles are required to have more of an office presence - we are happy to confirm this during our initial call 😊) **How you will make a difference:** We are seeking an**experienced Platform Engineer** to design, build, and manage secure, scalable, and resilient cloud platforms on AWS. The role focuses on cloud infrastructure, DevSecOps, automation, reliability, microservices, serverless, event-driven architectures, data pipelines, and supporting AI/ML workloads. * Design, deploy, and manage scalable, highly available AWS cloud infrastructure * Build and maintain secure cloud platforms with governance and standardization * Architect and support microservices, serverless, and event-driven systems * Implement and optimize CI/CD pipelines with integrated DevSecOps practices * Embed security controls including IAM, encryption, vulnerability scanning, and compliance checks * Develop and manage Infrastructure as Code using Terraform or CloudFormation * Improve system resiliency through high availability, backups, disaster recovery, and fault tolerance strategies * Build and manage ETL pipelines and data workflows in cloud environments * Apply SRE principles including monitoring, alerting, incident response, and capacity planning * Automate operational workflows using Python, Bash, or other scripting languages * Support AI/ML workloads by enabling scalable inf
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