Principal, Cloud Platform Architect

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal, Cloud Platform Architect based in United States.

This is a high-impact architecture leadership role focused on shaping the technical foundation of a next-generation cloud platform for enterprise analytics and AI.
You will define long-term architecture across multi-cloud, multi-region, and multi-tenant environments while driving major modernization initiatives.
The role spans infrastructure, platform engineering, SRE, security, and product engineering, giving you broad influence across the technology organization.
You will combine hands-on technical leadership with architectural governance, establishing standards that enable teams to build secure, resilient, and scalable services.
A key focus will be improving reliability, developer experience, observability, and cloud-native adoption across the platform.
You will also mentor senior engineers, influence technical strategy, and help raise architectural maturity across the organization.
This opportunity is ideal for a seasoned cloud architect who enjoys solving complex distributed-systems challenges and turning technical vision into scalable execution.

Accountabilities:

• Own cloud platform architecture: Define and evolve the long-term architecture for a multi-cloud, multi-region, multi-tenant SaaS platform, including modernization and migration strategies.
• Lead cloud modernization: Drive cloud-native adoption, architectural transformation, and major migration initiatives while addressing technical and architectural debt.
• Design scalable infrastructure: Architect highly available platform services spanning compute, networking, storage, APIs, and shared infrastructure components.
• Establish architectural standards: Create reference architectures, engineering patterns, and best practices while leading architecture reviews focused on security, scalability, reliability, and operational excellence.
• Shape Kubernetes and platform infrastructure: Guide the architecture of containerized platforms and shared services that can reliably support enterprise-scale SaaS workloads.
• Drive reliability and resilience: Partner with SRE teams to improve availability, disaster recovery, observability, fault tolerance, capacity planning, and overall operational maturity.
• Enable engineering teams: Collaborate with Platform Engineering to improve CI/CD, developer tooling, infrastructure consumption, and self-service capabilities for product teams.
• Collaborate across engineering: Partner with Infrastructure, Platform, SRE, Security, and Product Engineering teams to translate strategic objectives into effective technical execution.
• Evaluate emerging technologies: Investigate new technologies, prototype architectural approaches, and make informed recommendations regarding the evolution of the platform.
• Develop technical talent: Mentor senior engineers, facilitate architectural decision-making, and strengthen engineering standards and architectural maturity across the organization.

Requirements

• Experience: 10+ years of experience in software engineering, cloud infrastructure, or related technical disciplines, including experience operating at Principal Engineer, Principal Architect, or equivalent senior architectural level.
• Cloud architecture: Proven success designing and operating large-scale, multi-region, multi-tenant, cloud-native SaaS platforms.
• Distributed systems: Deep expertise in distributed systems, cloud architecture, Kubernetes, containers, and modern platform engineering practices.
• Cloud platforms: Strong experience with GCP, AWS, or Azure, with GCP experience particularly valuable.
• Networking and infrastructure: Strong understanding of cloud networking concepts including load balancing, service discovery, ingress, DNS, service mesh, and Infrastructure as Code such as Terraform.
• Reliability and observability: Experience with modern observability and monitoring technologies such as Prometheus, Grafana, OpenTelemetry, or Datadog.
• Software engineering: Strong coding capabilities in Java, Python, Go, or a comparable programming language, with the ability to contribute hands-on when required.
• Architecture leadership: Demonstrated ability to establish technical standards, lead enterprise-scale cloud migrations, guide platform engineering initiatives, and resolve complex architectural challenges.
• Cross-functional influence: Excellent communication, stakeholder management, and consensus-building skills, with the ability to influence senior technical teams without relying solely on formal authority.
• Strategic thinking: Ability to balance long-term architectural vision with practical execution, business priorities, reliability requirements, and developer needs.
• Preferred expertise: Experience with AI, analytics, large-scale data platforms, cloud security, governance, compliance, or internal developer platforms is highly valued.

Benefits

• Base salary: $215,000–$300,000 annually for U.S.-based employees, with final compensation determined by experience, education, certifications, skills, and geographic location.
• Performance bonus: Eligible for bonus compensation based on individual and company performance.
• Remote work support: $150 monthly Connectivity Plus stipend for remote-work-related expenses.
• Home office support: $200 annual home office reimbursement.
• Healthcare: Medical, dental, and vision coverage.
• Retirement: 401(k) plan with company match.
• Time off: Flexible time off, paid parental leave, and caregiver leave.
• Wellness: Mental health resources and wellness reimbursement.
• Career development: Education assistance and opportunities for ongoing professional development.
• Work flexibility: Remote-friendly work environment designed to support flexibility and productivity.
• Inclusive culture: Commitment to a diverse, equitable, and inclusive workplace with opportunities for growth throughout your career.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.