Senior Cloud Infrastructure Engineer

About Us

The company leads the way in AI-powered contact center innovation, delivering a future-proof, cloud platform that redefines the customer experience with cutting-edge AI, true multimodality, and a mobile-first approach. We infuse AI across every aspect of your customer journey and contact center operations, to drive automation and efficiency. The company's AI solutions empower agents, optimize customer journeys, and transform contact center operations for elevated experiences and actionable insights. Built on a cloud-native architecture with a unique CRM-first approach, the company ensures unmatched security, scalability, and prioritized data insights (without storing PII). Designed for effortless use, the company partners with businesses to deliver exceptional interactions, smarter decision-making, and accelerated growth in the AI-driven world.

Learn more at [link for members] .

The Opportunity

We are seeking a highly experienced Cloud Infrastructure Engineer in Austin, TX, Los Angeles, CA, or Portland, ME to design, build, and evolve the Google Cloud Platform (GCP) infrastructure that powers our cloud-native SaaS platform.

This is a deeply technical, hands-on engineering role requiring strong production experience with Google Kubernetes Engine (GKE), Kubernetes infrastructure, Terraform, and cloud networking , preferably on GCP.

You will be responsible for the foundational infrastructure that supports our engineering organization, including Kubernetes clusters, GCP networking, infrastructure automation, identity and access management, and shared infrastructure services.

We are looking for engineers who have directly designed, built, operated, and troubleshot complex Kubernetes environments running on cloud providers—not simply deployed applications into existing clusters.

What You'll Do

• Design, build, operate, and maintain production infrastructure on Google Cloud Platform (GCP), including GKE, VPC networking, load balancers, Cloud DNS, IAM, and related cloud services.

• Own the architecture and lifecycle of Kubernetes clusters, including provisioning, upgrades, node pool management, autoscaling, networking, capacity planning, and operational troubleshooting.

• Develop and maintain Terraform modules, infrastructure-as-code frameworks, and automated provisioning workflows that enable consistent, reliable infrastructure management.

• Troubleshoot complex infrastructure issues across Kubernetes, Linux, networking, DNS, cloud services, and distributed systems.

• Design and maintain GCP networking infrastructure, including VPCs, subnetworks, firewall rules, routing, NAT, load balancing, and connectivity between services and environments.

• Build and improve infrastructure observability using Prometheus, logging systems, metrics, alerting, and related monitoring tools.

• Implement and maintain infrastructure security controls, including IAM policies, service accounts, secrets management, and least-privilege access patterns.

• Drive infrastructure reliability, scalability, performance, and cost optimization across our GCP environment.

• Plan and execute major infrastructure upgrades, migrations, and architectural improvements while minimizing production risk.

• Partner with Platform Engineering, SRE, and Security teams to establish scalable infrastructure patterns and clear technical ownership.

• Participate in technical design reviews, architecture discussions, and mentorship of other engineers.

Required Qualifications

Cloud Native Infrastructure, Google Cloud Platform (GCP) preferred

• 3+ years of hands-on production experience , including designing, provisioning, operating, and troubleshooting cloud infrastructure.

• Deep practical knowledge of GCP networking, including VPCs, subnets, firewall rules, routing, Cloud NAT, Cloud DNS, and Cloud Load Balancing.

• Experience managing GCP projects, IAM policies, service accounts, and infrastructure security configurations.

• Demonstrated experience debugging production infrastructure problems involving multiple GCP services.

• Requires periodic in-person collaboration at the company office or designated location.

Kubernetes / GKE

• 3+ years of hands-on experience operating production Kubernetes clusters , preferably Google Kubernetes Engine (GKE).

• Direct experience provisioning, administering, upgrading, and troubleshooting Kubernetes clusters.

• Strong understanding of Kubernetes architecture and internals, including the control plane, worker nodes, scheduling, networking, services, ingress, storage, and resource management.

• Experience managing node pools, autoscaling, resource requests and limits, cluster capacity, and Kubernetes version upgrades.

• Ability to troubleshoot complex Kubernetes infrastructure issues involving networking, DNS, node health, scheduling, resource pressure, and cluster-level failures.

• Experience using tools such as kubectl, Helm, and Kubernetes monitoring and diagnostic utilities.

Experience limited to deploying containerized applications into Kubernetes does not satisfy this requirement.

Infrastructure as Code and Automation

• 3+ years of professional experience using Terraform to provision and manage production cloud infrastructure.

• Experience developing reusable Terraform modules, managing remote state, and implementing safe infrastructure change processes.

• Strong scripting and automation skills using Python, Go, Bash, or similar languages.

• Experience with Git-based infrastructure management workflows, code reviews, and automated validation.

Systems and Networking

• Strong Linux systems administration and troubleshooting skills.

• Solid understanding of TCP/IP, DNS, HTTP/HTTPS, TLS, routing, firewalls, and load balancing.

• Ability to diagnose difficult infrastructure problems using logs, metrics, traces, packet-level analysis, and systematic debugging techniques.

• Experience designing secure, resilient, and scalable production infrastructure.

Preferred Qualifications

• 8+ years of professional engineering experience

• Extensive experience operating GKE clusters in large-scale, multi-cluster, or multi-region production environments.

• Experience with GKE networking, Workload Identity, Gateway API, Ingress controllers, and cluster autoscaling technologies.

• Experience designing multi-project GCP architectures with centralized networking, IAM governance, and infrastructure guardrails.

• Experience operating Prometheus, Grafana, and centralized logging infrastructure.

• Experience with Kubernetes infrastructure security, including RBAC, network policies, workload identity, and secrets management.

• Experience performing major Kubernetes or GCP infrastructure migrations with minimal production disruption.

• Experience with infrastructure cost optimization, capacity modeling, and cloud resource efficiency.

• Experience supporting highly available SaaS platforms or distributed systems operating at significant production scale.

• Mentors senior engineers and drives improvements in engineering practices, reliability, maintainability, and infrastructure scalability.

What Success Looks Like

• Our GCP infrastructure is secure, scalable, reliable, and cost-efficient.

• Kubernetes clusters are well-managed, observable, consistently maintained, and upgraded with minimal production disruption.

• Infrastructure provisioning is automated, repeatable, and maintainable through Terraform.

• Complex infrastructure incidents are diagnosed quickly, with sustainable improvements that prevent recurrence.

• Engineering teams can depend on stable, well-designed cloud infrastructure foundations.

• Infrastructure architecture and operational practices continuously improve as the company scales.

Why Join Us?

You'll have the opportunity to work on challenging infrastructure problems at the foundation of a cloud-native SaaS platform. You'll help shape our GCP and Kubernetes architecture, drive meaningful technical improvements, and work with experienced engineers across Infrastructure, Platform, SRE, and Security.

This is an opportunity for engineers who enjoy solving difficult infrastructure problems, take pride in technical excellence, and want direct ownership of the cloud environment that powers a modern production platform.

Annual US Hiring Range: $150,000 - $175,000

*A candidate’s actual placement within this range will depend on geographic location, work experience, education, and/or skill level.

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.

Why the company?

• Impactful Work: Be at the forefront of innovation, directly shaping the future of customer experience.

• Dynamic Culture: Join a collaborative, inclusive team that values big ideas, creative solutions, and powerful relationships.

• Comprehensive Benefits: Medical, dental, vision, 401(k) plan, wellness benefits, and more.

The company is an Equal Opportunity Employer

The company provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Compliance Responsibilities

Security, data protection and compliance (SDPC) are paramount to the success of our partnerships. All roles at the company require compliance with legal and regulatory requirements and acceptance and adherence to all policies and standards within the company. Personnel acknowledges they are personally responsible for reporting any suspected violations or abuse and are required to complete SDPC training and fulfill role-specific SDPC responsibilities.

AI Use in Our Hiring Process

The company uses artificial intelligence (AI) technology to assist with the initial review and filtering of job applications against the qualifications listed in this posting. AI does not make hiring decisions, does not conduct interviews, and has no authority to reject or advance a candidate on its own. All application review decisions, candidate screening, and interviews are conducted by members of our human recruiting and hiring teams.

Reasonable Accommodation

If you would like to request a reasonable accommodation as part of the application process, including an alternative to AI-assisted screening, please contact [link for members] .

Work Authorization & Sponsorship

Applicants must be legally authorized to work in the country in which this position is located, without the need for current or future employer-sponsored visa sponsorship. The company does not sponsor employment visas for this role.