Role Description We're building a Cloud Center of Excellence that owns the cloud foundation for the entire engineering organization. You'll design the architecture, automation, and governance that other teams build on - not just deploy workloads, but define how workloads get deployed. If you think about infrastructure as a product and want real ownership over cloud strategy, this is that role. What You'll do: - Design and implement a cloud-native platform architecture on GCP - Build scalable guardrails for multi-team, multi-environment setups with compliance requirements - Create reusable infrastructure that enables self-service provisioning - Define cloud governance: IAM strategies, organizational policies, policy-as-code - Write design documents and represent technical divisions in cross-team and leadership forums Qualifications - Strong hands-on experience with GCP - Production Kubernetes experience - networking, security, tenancy, lifecycle management - Terraform at the module-authoring level, not just the consumer level - Solid networking fundamentals: VPC design, CIDR planning, DNS, hybrid connectivity - Experience working in compliance-driven environments (SOC2, PCI-DSS, or similar) - GitOps methodology and tooling - Observability stack experience (metrics, structured logging, tracing) - Clear technical communication - you can write a design doc and defend it Requirements - You think about infrastructure as a product with users, SLOs, and developer experience - You've designed cloud foundations for organizations, not just individual projects - You build patterns that scale and enable others, rather than solving things one-off - You know how to get buy-in across teams and navigate the human side of platform work - You raise the technical bar for the people around you Benefits - Remote role across Poland - Access to e-learning platforms - eTutor, GoodHabitz, Data Camp, and more - A wide range of benefits, including the MultiSport+ card, private healthcare, and group insurance, available on the Worksmile platform - External and internal growth opportunities - conferences, trainings, workshops - Chances to broaden your skill set and acquire new competencies through daily work, challenging projects, and training activities - B2B type of contract

Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone-freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow- helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Job Description Cloud Platform - Kubernetes, Hyperscalers & Distributed Systems Org-wide technical authority. Sets direction across multiple engineering organizations and owns the hardest, most ambiguous problems in the platform domain. What you get to do in this role:• You will set the technical direction for our cloud-native platform across multiple engineering teams and organizations, defining the architecture and standards for how Kubernetes, distributed systems, and hyperscaler infrastructure are built and operated at scale.• You will own the hardest, most ambiguous technical problems in the platform domain - multi-cloud topology, control-plane design, workload isolation, identity and trust fabric, and reliability at the scale of hundreds of clusters and dozens of product workloads.• You will partner with engineering fellows, principal engineers, and other senior technical leaders to drive consistent architectural decisions and the adoption of best practices across the entire platform ecosystem.• You will identify and mitigate the deepest technical risks in initiatives with C-suite visibility, and you will be the person leadership trusts to make the call on managed-vs-self-managed tradeoffs, substrate portability, and multi-hyperscaler strategy.• Where you see the need, you will personally design and build the critical components - control planes, operators, infrastructure abstractions, and the systems other teams build on top of.• You will mentor staff and principal engineers and shape the next generation of the organization's technical leadership. Qualifications To be successful in this role you have:• Experience leveraging or critically thinking about how to integrate AI into engineering and platform work - whether using AI-powered tooling, automating operational workflows, building agentic systems for fleet visibility and operations, or reasoning about AI's impact on how infrastructure is built and run.• 12+ years of experience designing, building, and operating large-scale distributed systems in production, with deep expertise running Kubernetes at scale (multi-cluster, multi-region, multi-tenant).• Hands-on, authoritative experience across one or more major hyperscalers (AWS, Azure, GCP), including their managed Kubernetes offerings (EKS, AKS, GKE) and the networking, IAM, and capacity tradeoffs that come with each.• A proven track record of providing technical leadership across multiple engineering teams, influencing architecture and direction without relying on positional authority.• Deep expertise in the core building blocks of a modern platform: the operator/controller pattern, infrastructure-as-code and control planes (e.g., Crossplane), GitOps-based delivery, container networking (CNI), and service mesh.• Strong programming skills in Go and fluency across the cloud-native ecosystem. It also helps if you have:• Experience designing identity and trust fabrics for distributed systems - workload identity, mTLS, and standards such as SPIFFE/SPIRE.• Experience with multi-tenant workload isolation and runtime security (e.g., Kata Containers, sandboxed runtimes).• Experience building and operating platforms for regulated or federal markets (FedRAMP, air-gapped or self-hosted distribution, OCI bundling).• Experience with observability at scale - metrics, tracing, and SLO-driven operations across a large fleet.• A platform-as-product mindset: treating internal engineering teams as customers and the platform as a product with a roadmap, contracts, and a delivery pipeline. For positions in this location, we offer a base pay of $254,500 - $445,400, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

Role Description We are seeking an experienced AWS Cloud Engineer to design, build, and operate large-scale, secure, and highly available cloud platforms on Amazon Web Services. This is a deeply hands-on engineering role spanning architecture, infrastructure-as-code, automation, security, observability, and continuous operational improvement of mission-critical production workloads. The successful candidate will bring strong working knowledge of the AWS service portfolio, deep DevOps fundamentals, and a pragmatic, cost-aware design mindset, and will partner with application, security, and SRE teams to deliver resilient, cloud-native solutions that scale with the business. Key Responsibilities - Architect, deploy, and operate enterprise-grade AWS environments across compute, networking, storage, identity, and managed data services, with strong attention to scalability, reliability, and security. - Author and maintain production-quality infrastructure-as-code using Terraform, AWS CloudFormation, or AWS CDK, with rigorous version control, peer review, and automated validation. - Design multi-account AWS organizations, including landing zones, SCPs, centralized logging, and shared services, to support secure and scalable enterprise adoption. - Build secure VPC topologies — including subnetting, route tables, transit gateways, VPN, and Direct Connect integrations — that meet enterprise connectivity and isolation requirements. - Implement strong IAM strategies using roles, permission boundaries, SCPs, AWS SSO, and short-lived credentials to enforce least-privilege access across the organization. - Design, deploy, and operate Amazon EKS clusters and other container platforms (ECS, Fargate), including auto-scaling, networking, and integration with service meshes and observability stacks. - Operate AWS managed data and analytics services such as RDS, Aurora, DynamoDB, S3, Redshift, Glue, and Kinesis, optimizing each for the access patterns and SLAs of the workloads it supports. - Build and maintain robust CI/CD pipelines using AWS CodePipeline, CodeBuild, Jenkins, GitHub Actions, or GitLab CI, enabling repeatable, audited deployments of both infrastructure and applications. - Implement comprehensive observability using CloudWatch, X-Ray, AWS Distro for OpenTelemetry, Prometheus, Grafana, and third-party tooling, with well-designed dashboards, alerts, and SLOs. - Drive ongoing cost optimization through right-sizing, savings plans, reserved instances, lifecycle policies, and architectural simplification, with measurable savings tracked over time. - Implement disaster-recovery and business-continuity capabilities, including cross-region replication, automated backups, regular failover testing, and documented runbooks. - Strengthen security posture using AWS Security Hub, GuardDuty, Macie, Inspector, Config, and CloudTrail, and lead remediation of findings in collaboration with security teams. - Advise application development teams on AWS-native design patterns, anti-patterns, and the appropriate service choices for each problem domain. - Develop automation scripts and operational tooling in Python, Bash, and Go to streamline routine work and accelerate incident response. - Mentor junior engineers, lead architecture and design reviews, and contribute thought leadership to the broader cloud community within the organization. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. - Five or more years of cloud engineering experience, with at least three years focused on AWS in production environments. - Strong hands-on experience with AWS core services, including EC2, VPC, IAM, S3, RDS, Lambda, CloudFront, and CloudFormation. - Production-grade experience with infrastructure-as-code tools such as Terraform, AWS CDK, or CloudFormation. - Solid experience designing and operating Amazon EKS or ECS clusters at scale. - Hands-on experience with CI/CD pipelines across infrastructure and application workloads. - Strong scripting skills in Python and Bash, with familiarity in Go or PowerShell considered a plus. - Deep understanding of cloud security, IAM, encryption, key management, and compliance requirements. - Experience implementing observability, monitoring, and alerting in cloud-native environments. - Strong troubleshooting, communication, and documentation skills. Preferred Qualifications - AWS Certified Solutions Architect – Professional or DevOps Engineer – Professional certification. - Experience with multi-account AWS Organizations and centralized governance. - Familiarity with service mesh, eBPF-based observability, and zero-trust networking. - Exposure to FinOps practices and well-architected cost-optimization frameworks. - Experience operating regulated workloads (HIPAA, PCI-DSS, SOC 2, FedRAMP). How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3899. Learn more about Bright Vision Technologies at www.bvteck.com .

• Lead and oversee day-to-day cloud infrastructure operations and service delivery. • Manage and support the Cloud Administrator(s) and future cloud team members. • Ensure availability, performance, security, and scalability of AWS environments. • Review and approve cloud architecture designs, infrastructure changes, and deployment strategies. • Establish and maintain operational standards, procedures, and documentation. • Oversee management of AWS services including EC2, VPC, IAM, S3, CloudWatch, and related services. • Manage multi-account AWS environments and governance frameworks. • Ensure adherence to cloud security policies, compliance requirements, and industry best practices. • Monitor cloud resource utilization and optimize infrastructure costs. • Define and maintain backup, recovery, and business continuity strategies. • Ensure backup solutions are properly implemented, tested, and monitored. • Conduct regular disaster recovery reviews and testing exercises. • Provide technical guidance and mentorship to Cloud Administrator(s). • Lead cloud modernization and automation initiatives. • Promote Infrastructure-as-Code (IaC) adoption using Terraform, CloudFormation, or similar technologies. • Identify opportunities to improve operational efficiency, reliability, and customer experience. • Evaluate emerging cloud technologies and recommend improvements. • Oversee infrastructure monitoring and alert management processes. • Ensure timely response and resolution of critical incidents. • Lead root cause analysis and post-incident reviews. • Define and track service level objectives (SLOs) and operational KPIs. • Support customer-facing teams in designing and delivering cloud solutions. • Act as a senior escalation point for cloud-related issues. • Collaborate with business stakeholders to align cloud services with business objectives. • Manage performance, development, and career growth of cloud team members. • Assist in recruitment, onboarding, and workforce planning. • Foster a culture of accountability, collaboration, innovation, and customer service excellence.