Staff Software Engineer – Infrastructure Foundations

Temporal Technologies

. Design the abstraction model unifying AWS, GCP, and Azure into one platform .

Posted 11/3/2026full-timeRemote • United StatesLead💰 $169,600 - $278,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in designing and operating distributed infrastructure across multiple cloud providers, with a strong focus on Kubernetes architecture and operational best practices. Capable of leading engineering teams, defining development processes, and ensuring reliability and scalability in complex multi-component systems.

Highest-signal resume keywords

Kubernetes ArchitectureAWS, GCP, Azure ExperienceGo ProgrammingMulti-Component System DesignInfrastructure Operations

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

KubernetesDistributed Infrastructure DesignCloud Platform AbstractionDeployment Control Plane DesignLoad TestingFailure TestingObservabilityResource ManagementLifecycle AutomationProgressive Delivery

Soft Skills

Excellent CommunicationCoachingCollaborationTechnical WritingDesign Review Leadership

Tools & Technologies

Temporal CloudCrossplaneACKKubernetes ControllersCNCF Open Source Contributions

Certifications & Qualifications

Bachelor's Degree in Computer Science

Industry Keywords

Multi-Cloud PlatformsInfrastructure MigrationSystem-Level TradeoffsOperational Best PracticesDrift Visibility

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformKubernetesOpen SourceGo

About the role

Key responsibilities & impact

Design the abstraction model unifying AWS, GCP, and Azure into one platform
Design and build a significant multi-component infrastructure platform end to end
Coordinate engineers working on platform components and make system-level tradeoffs explicit
Define declarative infrastructure models for Kubernetes workloads and supporting cloud resources
Establish reproducible environments, drift visibility, and safe reconciliation
Design a deployment control plane with shared inventory, dependency awareness, rollout sequencing, and approvals
Build reliability into designs through bounded blast radius, progressive rollouts, observability, load and failure testing, and recovery
Lead the capability roadmap with the engineering manager
Evaluate requests and balance technical and business risk
Define development processes and operational best practices
Coach senior engineers, lead design reviews, review critical pull requests, and help hire engineers
Collaborate with Traffic, Control Plane, Developer Productivity, Security, and service owners
Own compatibility and migration as the platform evolves
Operate and evolve infrastructure supporting Temporal Cloud, including Kubernetes-based platforms and Temporal workflows

Requirements

What you’ll need

10+ years building software, including significant experience designing and operating distributed infrastructure in production
Production infrastructure experience on at least two of AWS, GCP, and Azure
Experience building, operationalizing, and scaling Kubernetes-based platforms across cloud providers
Deep Kubernetes knowledge, including scheduling, controllers and reconciliation, resource management, isolation, and upgrade safety
Experience designing and building a significant multi-component system and coordinating other engineers
Strong coding skills in Go or another systems language; continued meaningful coding
Excellent written and verbal communication
Bachelor's degree in Computer Science or related field, or equivalent practical experience
Knowledge of multi-cloud platform abstractions, Kubernetes architecture and operations, system-level tradeoffs, design reviews, code reviews, coaching, and technical writing
Preferred: experience across all three cloud providers, Kubernetes controllers/operators, Crossplane or ACK, Kubernetes/CNCF open source contributions, deployment control planes, progressive delivery, dependency-aware rollouts, safe infrastructure migrations, lifecycle automation, Go infrastructure services, and Temporal workflow orchestration

Benefits

Comp & perks

Equity
AI interview recording is used internally for evaluation, with the option to opt out without impact on candidacy