Senior Software Engineer, Cloud Platform [Remote]

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

This role is a high-impact opportunity within a modern engineering organization focused on building and scaling the foundational cloud infrastructure that powers large-scale, transaction-heavy systems.
You will design and evolve cloud-native platforms that enable developers to ship faster, safer, and with greater autonomy across the organization.
The work spans cloud infrastructure, Kubernetes ecosystems, CI/CD automation, and developer experience tooling, with a strong emphasis on reliability, scalability, and security.
You will collaborate closely with product, data, and engineering teams to translate platform needs into robust, self-service capabilities.
A key part of the role involves driving operational excellence through observability, SLOs, incident response, and continuous system improvement.
The environment is fast-paced, highly collaborative, and deeply technical, with a strong culture of ownership and continuous learning.

Accountabilities:

• Design, build, and evolve scalable cloud platform infrastructure on GCP and Kubernetes to support high-throughput, mission-critical systems.
• Develop and maintain self-service developer platforms, including CI/CD pipelines, deployment systems, and infrastructure automation.
• Drive reliability engineering practices by defining SLOs, improving observability, and participating in on-call rotations and incident response.
• Architect and implement secure, cost-efficient, and highly available cloud solutions with strong focus on networking, IAM, and system resilience.
• Improve developer experience by streamlining build, deployment, and release processes to reduce friction and failure rates.
• Lead technical initiatives around platform modernization, infrastructure-as-code, and GitOps-based workflows.
• Troubleshoot and resolve complex distributed systems issues, delivering long-term, scalable fixes.

Requirements:

• 7+ years of professional software engineering experience, with strong focus on cloud platform or infrastructure engineering.
• Deep expertise in Google Cloud Platform (GCP), with additional experience in AWS or other cloud providers.
• Strong hands-on experience with Kubernetes at scale, including cluster operations and architecture design.
• Proficiency in software development using languages such as Python, Go, Java, or TypeScript.
• Strong background in Infrastructure-as-Code (Terraform) and GitOps-driven CI/CD systems (ArgoCD, GitHub Actions, TeamCity).
• Experience designing and operating distributed systems, including databases and streaming technologies (e.g., Kafka, PostgreSQL).
• Solid understanding of cloud networking, security best practices, and system reliability principles.
• Experience with observability tooling and frameworks (e.g., OpenTelemetry) and reducing MTTR through monitoring improvements.
• Strong analytical thinking, communication skills, and ability to work cross-functionally in a collaborative environment.
• Familiarity with AI-assisted development tools and the ability to critically evaluate AI-generated code.
• Preferred: experience mentoring engineers, driving platform strategy, and contributing to developer productivity improvements.

Benefits:

• Competitive US salary with location-based pay tiers ($150,000 – $190,000 base range depending on location)
• Annual performance bonus (up to 10% of base salary)
• Equity compensation via stock option grants
• Unlimited discretionary time off policy
• Comprehensive health, dental, and vision insurance coverage
• 401(k) retirement plan with company match
• Paid parental leave (12 weeks)
• Flexible remote work environment within the United States
• Learning and development budget for professional growth
• Mental health and therapy support for employees and dependents
• Life, disability, and supplemental insurance coverage
• Employee wellness programs and company-wide social events.

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!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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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.