Lead DevOps and platform engineering for National Retail Solutions, modernizing AWS infrastructure, implementing CI/CD, security, observability, and AI-driven operations.
Locations (2)
Minsk, Minsk City, Belarus
Georgia
Compensation
Competitive salary with annual performance review.
Responsibilities
Build infrastructure as code and manage AWS resources
Automate scaling, cost visibility, and deployment pipelines
Containerize services and manage Docker lifecycles
Implement security controls and policy enforcement
Assist the growing team in Shanghai in identifying and engaging with the most relevant industry professionals to take part in upcoming interview discussions for the Library content product.
Responsibilities
Performing research on industries and businesses in the China, in order to source and identify the most relevant individuals (executives and practitioners) to take part in moderated interviews
Engaging these individuals to invite them to participate in our research, while assessing and ensuring that their insights are relevant and their fees are within budget
Building a professional network and monitoring the relevant markets/companies in the assigned sector areas according to the Library's content coverage strategies
Working in tight deadlines and coordinating with internal and external stakeholders across different global offices
Own and manage ISO/IEC 27001:2022 and NEN 7510:2024 ISMS, lead audits, govern cloud security posture, develop AI governance frameworks, oversee incident management and risk processes.
Responsibilities
Own ISO/IEC 27001:2022 and NEN 7510:2024 ISMS end to end
Prepare for and steer internal and external audits
Own security due-diligence questionnaires and vendor assessments
Govern Azure security posture and prioritize remediation
Partner with media and entertainment customers to design and deliver scalable, secure, cost-optimized, and high-performing cloud solutions on AWS, acting as a trusted technical advisor.
Responsibilities
Own the technical relationship for a set of strategic customer accounts
Design end-to-end solutions based on customer business goals
Build trust with customer architects and engineering leaders
Lead deep technical discussions on design choices and trade-offs
Create and deliver technical content such as presentations and reference architectures
Requirements
Bachelor's degree in computer science, engineering, mathematics or equivalent
The Data Infrastructure team builds and operates the platform that powers data workloads across PayPay Group. This role sits at the intersection of cloud infrastructure and data platform engineering, focusing on AWS infrastructure using Terraform, Databricks support, and SRE practices.
Compensation
Annual salary paid in 12 installments (monthly)
Based on skills, experience, and abilities
Reviewed once a year
Late overtime allowance
Responsibilities
Design, build, and manage AWS cloud infrastructure using Terraform, following IaC and GitOps practices
Operate and improve the Databricks Lakehouse platform — workspace provisioning, configuration management, and day-to-day reliability
Build and maintain platform services and tooling that support data engineers across PayPay Group companies
Strengthen system reliability through SRE practices: monitoring, alerting, dashboarding, and incident response
Implement and enforce data governance and security controls in line with compliance requirements
Own complex customer issues and provide specialized support to other teams, ensuring customers can seamlessly deploy their AI and ML workloads on AI Infrastructure products.
Manage customers' problems through effective diagnosis, resolution, or implementation of new investigation tools to increase productivity for customer issues on AI/ML infrastructure.
Develop an in-depth understanding of AI/ML workloads and underlying hardware architectures by troubleshooting, reproducing, determining the root cause for customer reported issues, and building tools for faster diagnosis.
Act as a consultant and subject matter expert for internal stakeholders in Engineering, Sales, and customer organizations to resolve complex deployment and operational obstacles in AI infrastructure environments.
Work closely with multiple Product and Engineering teams to find ways to improve the product, and interact with our Site Reliability Engineering (SRE) teams to drive high-quality production.
Be available for non-standard work hours or shifts which may include weekends as needed.
Requirements
Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience
Nice to have: Large-scale distributed systems
Nice to have: AI/ML computing hardware (GPUs or other accelerators)
Hardware Systems Test Engineer, Networking, Platforms Infrastructure Engineering
Lead the validation, bring‑up, and qualification of complex hardware systems from early design phase prototypes to deployment readiness within Google’s Platforms Infrastructure Engineering team.
Help design and build complex system‑level testbeds and maintain lab space, tools and infrastructure.
Diagnose hardware, silicon, and system level issues using software tools to isolate root causes across hardware, firmware, and signal interfaces.
Design and maintain automated test scripts and automation tools to enable continuous validation and regression coverage.
Generate implementation plans and provide technical expertise and guidance during deployment activities.
Collaborate with cross‑functional teams to address hardware bugs, and ensure seamless resolution.
Requirements
Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field
Nice to have: Master's degree or Ph.D. in Electrical Engineering, Computer Engineering, or a related technical discipline
Nice to have: 5 years validation engineering experience focused on hyperscale servers, high‑performance computing, or data center platform infrastructure
Nice to have: proven experience building automated hardware test suites and integrating test benches into continuous integration (CI/CD) pipelines
Data Center Server Operations Manager, Global Server Operations
Manage a team of Data Center Technicians overseeing installation, configuration, testing, troubleshooting, and maintenance of server hardware and software in a global data center environment.
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