Safeguard Global · 5 days ago
Platform Engineer
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Responsibilities
AWS Infrastructure Management: Design, deploy, and maintain highly available and scalable cloud infrastructure on AWS, ensuring optimal performance, security, and cost-efficiency.
Software Delivery - Continuous Integration and Deployment (CI/CD): Implement and enhance CI/CD pipelines to automate software builds, testing, and deployment processes, ensuring faster and reliable delivery of software releases.
Experience with Machine Learning and Artificial Intelligence Models is preferable: Design, manage, and optimize ML and AI models, integrating them into the infrastructure and CI/CD pipelines.
MLOps and AIOps: Apply principles of Machine Learning Operations (MLOps) and Artificial Intelligence Operations (AIOps) to improve the lifecycle of model development and deployment, automating manual processes, and enhancing system performance.
Configuration Management: Develop and maintain configuration management processes and tools to streamline the provisioning, configuration, and deployment of infrastructure and applications.
Monitoring and Troubleshooting: Implement robust monitoring and alerting systems to identify and resolve issues proactively, ensuring high availability and performance. Troubleshoot production incidents and provide timely resolutions.
Automation and Scripting: Develop automation scripts and tools using Python, Bash, or other languages to improve operational efficiency, reduce manual effort, and enhance system scalability.
Infrastructure as Code: Utilize Infrastructure as Code (IaC) tools like CloudFormation or Terraform to define and manage infrastructure resources, enabling reproducibility and scalability.
Security and Compliance: Implement and maintain security best practices and ensure compliance with industry standards and regulations. Perform regular security assessments and vulnerability scans.
Collaboration and Documentation: Collaborate effectively with cross-functional teams, using strong communication skills to gather requirements, provide technical guidance, and support their needs. Document infrastructure architecture, procedures, and processes clearly and accurately.
Site Reliability Engineering (SRE): Apply SRE principles to enhance system reliability, scalability, and performance. Develop and maintain incident response plans and perform regular system capacity planning.
Qualification
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Required
Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience)
Strong experience working as a DevOps Engineer, with a focus on AWS cloud infrastructure, CI/CD pipelines, Linux and Windows systems, Python scripting, and SRE principles
In-depth knowledge and hands-on experience with AWS services with system architecture like Event-driven, server-less, micro-services etc.
Solid understanding of Linux-based systems administration and troubleshooting, including shell scripting and automation
Experience with infrastructure automation tools such as Terraform or CloudFormation
Strong programming skills in Python or other scripting languages
Familiarity with containerization technologies like Docker and container orchestration platforms like Kubernetes
Knowledge of networking concepts, including DNS, load balancers, and firewalls
Excellent problem-solving and troubleshooting skills, with a strong attention to detail
Strong communication and collaboration skills, with the ability to work effectively in a team environment. Demonstrated experience in collaborative environments and a commitment to achieving team goals is essential
Preferred
Experience with managing and deploying Machine Learning and Artificial Intelligence models is preferred
Proficiency with MLOps and AIOps, or a similar background in managing and optimizing model development and deployment lifecycles
Benefits
Autonomy & Flexibility (Work in Any Way)
Bonding Leave
2 Charitable Days
Reward & Recognition Program
Corporate bonus/SIP
Company
Safeguard Global
Safeguard Global is a provider of an innovative technology platform intended to efficiently manage payroll and outsourcing services.
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
MMC Ventures
2019-05-08Series Unknown· Undisclosed
2016-12-31Debt Financing· Undisclosed
2015-11-23Series Unknown· Undisclosed
Leadership Team
Recent News
2023-12-16
Company data provided by crunchbase