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Saas Operations Engineer Jobs (NOW HIRING)

This role is responsible for the day-to-day operations of business-critical SaaS platforms (such as ... The engineer will design and operate secure, automated workflows that connect SaaS tools with ...

NY · On-site

$125 - $150/hr

... s Engineer Azure Healthcare SaaS 2025/11/10 As we expand our customer deployments, we seek an experienced Senior DevOps Engineer to transform release processes and enable continuous deployment.

DevOps Engineer

Brisbane, CA · On-site

$63.50 - $87/hr

SaaS Infrastructure Design and Implementation: * Design and implement SaaS/cloud-based ... s Engineer, RHCE, VCP, LPIC, or HashiCorp Certified: Terraform Associate are highly desirable.

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How much do saas operations engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for saas operations engineer in the United States is $85,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,500.00 and $94,000.00 per year, depending on experience, location, and employer.

What is a SaaS operations engineer?

SaaS Operations Engineers are IT professionals responsible for managing, maintaining, and optimizing Software as a Service (SaaS) applications within an organization. They ensure these cloud-based services run smoothly, securely, and efficiently by monitoring performance, handling integrations, automating processes, and troubleshooting issues. Additionally, they often collaborate with security, IT, and development teams to support user access, data integrity, and compliance. Their role is crucial in enabling businesses to leverage SaaS tools effectively while minimizing downtime and risk.

What skills and qualifications are needed to thrive as a SaaS operations engineer?

To thrive as a SaaS Operations Engineer, you need expertise in cloud infrastructure management, automation, and a solid understanding of CI/CD pipelines, typically supported by a degree in computer science or related experience. Familiarity with tools like AWS, Azure, Docker, Kubernetes, and monitoring systems such as Datadog or New Relic is essential, along with experience in scripting languages like Python or Bash. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with development teams and resolve operational issues quickly. These abilities ensure the reliability, scalability, and security of SaaS platforms, which are critical for customer satisfaction and business continuity.

What are common challenges faced by SaaS operations engineers, and how can they address them?

SaaS Operations Engineers often encounter challenges such as ensuring high service availability, managing seamless software deployments, and scaling infrastructure to meet customer demand. Proactively addressing these challenges involves implementing robust monitoring systems, automating deployment pipelines, and collaborating closely with development and support teams to quickly resolve incidents. Staying up-to-date with cloud technologies and best practices also helps in anticipating potential issues and improving system reliability.

What is the difference between Saas Operations Engineer vs Cloud Support Engineer?

AspectSaaS Operations EngineerCloud Support Engineer
CredentialsTypically requires experience with SaaS platforms, cloud services, and relevant certifications (e.g., AWS, Azure)Often holds cloud certifications and technical support experience
Work EnvironmentWorks within SaaS companies managing deployment, uptime, and customer issuesProvides technical support for cloud infrastructure and services
Employer & IndustrySaaS providers, cloud service companiesCloud service providers, managed service providers
Search & Comparison IntentFocuses on SaaS platform operations and customer successCenters on cloud infrastructure troubleshooting and support

The SaaS Operations Engineer primarily manages SaaS platform performance, deployment, and customer issues within SaaS companies. In contrast, the Cloud Support Engineer focuses on supporting cloud infrastructure and resolving technical problems for cloud service providers. While both roles require cloud-related certifications and technical skills, their focus areas differ based on the company's core services.

What cities are hiring for Saas Operations Engineer jobs?

Cities with the most Saas Operations Engineer job openings:

What states have the most Saas Operations Engineer jobs?

States with the most job openings for Saas Operations Engineer jobs include:

What are popular job titles related to Saas Operations Engineer jobs?

For Saas Operations Engineer jobs, the most frequently searched job titles are:

Infographic showing various Saas Operations Engineer job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $85,029 per year, or $40.9 per hour.

Senior DevOps & SaaS Operations Engineer

Palo Alto, CA • On-site

$150 - $200/hr

Other

Medical, Dental, Vision

Posted 14 days ago


Job description

Senior DevOps & SaaS Operations Engineer

Xage Security

August 21, 2026

Location: Palo Alto, CA

About Xage

Cyberattacks on critical infrastructure, government, and private enterprises are increasing in scale, speed, and impact. Xage Security is the leader in Zero Trust for high-stakes environments, helping organizations protect what matters most. With Xage, organizations can stop cyber threats, strengthen resilience, simplify security, and move faster with confidence.

We have built tremendous momentum across governments and commercial enterprises around the world, and it’s just the beginning. Recognized by Forbes as one of America’s Best Startup Employers, Xage prioritizes creativity, collaboration, and innovation in pursuit of our mission. We are headquartered in Palo Alto, CA and have global teams across North America and EMEA.

We’re passionate about solving problems that have positive, real-world consequences for the lives of everyday people. We hope you’ll join us in protecting what matters most and helping organizations operate with confidence in an increasingly complex threat landscape.

About the Role

We are seeking a Senior DevOps & SaaS Operations Engineer to design, automate, and scale the cloud infrastructure and operational pipelines powering our hosted Zero Trust AI Gateway platform. As our SaaS solution expands across enterprise customers, ensuring high availability, seamless customer deployments, automated upgrades, and proactive monitoring across both cloud and edge environments is critical.

Today, our platform runs on a VM-based and containerized architecture (Docker, systemd, cloud compute instances). In this role, you will own the current infrastructure and automating deployments, tenant management, and monitoring, while designing the architectural bridge and migration path toward Kubernetes (AKS/EKS/GKE) as our scale demands it.

Key Responsibilities
  • Customer Deployment & Onboarding Automation: Build and maintain Infrastructure-as-Code (Terraform, Packer) and automated provisioning workflows to seamlessly deploy, isolate, and configure customer environments across cloud VMs and container runtimes.
  • Zero-Downtime Upgrade Orchestration: Architect safe, automated upgrade and rollback pipelines for both hosted cloud control planes and customer-side edge gateways/agents, ensuring continuous operations across version shifts.
  • Kubernetes Migration Strategy: Lead the future-state container orchestration roadmap—designing, prototyping, and executing the transition from VM/Docker deployments to Kubernetes (EKS/GKE) without interrupting customer SLAs.
  • Monitoring, Observability & Alerting: Design and manage unified observability platforms (e.g., Prometheus, Grafana, Datadog, ClickHouse, OpenTelemetry) to track system health, gateway latency, error budgets, and service SLIs/SLOs.
  • Ongoing Maintenance & Site Reliability: Drive operational excellence, capacity planning, backup/disaster recovery, patch management, and incident response automation to maintain enterprise-grade uptime SLAs (99.99%).
  • Cloud & Edge Security Infrastructure: Implement security best practices across VM images, container registries, secret management systems, and network perimeter controls across AWS/GCP/Azure environments.
Required Qualifications
  • Engineering Degree or equivalent experience
  • Production SaaS Experience: 5+ years of experience in DevOps, Site Reliability Engineering (SRE), or Cloud Operations managing commercial SaaS platforms.
  • Infrastructure as Code (IaC) & Cloud: Expert-level mastery of Terraform (or OpenTofu), Packer, and deep experience operating within primary cloud providers ( AWS, GCP, or Azure ).
  • VM & Container Management: Hands-on experience deploying, managing, and hardening VM-based workloads (Azure VM/EC2/GCE) along with containerization ( Docker, Docker Compose ).
  • Kubernetes Expertise: Hands-on experience with Kubernetes (EKS/GKE) and Helm, with a clear understanding of how to architect containerized applications for future Kubernetes migration.
  • CI/CD & Release Engineering: Proven track record building robust deployment pipelines (GitHub Actions, Ansible, Packer) featuring blue-green deployments, canary releases, and automated testing gates.
  • Observability & Logging: Strong hands‑on experience configuring distributed tracing, metrics aggregation, and log ingestion stacks (e.g., Prometheus, Grafana, OpenTelemetry, ClickHouse, ELK/Datadog).
  • Scripting & Automation: High proficiency in Python , Bash , or Go for operational tooling, dynamic automation scripts, and API integrations.
Preferred Qualifications
  • Edge & Distributed Deployments: Experience managing hybrid deployment models where a central SaaS control plane orchestrates distributed edge gateways or on-premises agents/VMs.
  • Security & Compliance: Familiarity with SOC 2 Type II compliance, ISO 27001, secret management tools (such as HashiCorp Vault), and zero-trust networking principles.
  • Eventing & Service Coordination: Operational experience with Kafka, Consul, or gRPC-based microservice architectures.
Perks
  • Salary Range: $140,000 – $180,000 p/yr + Equity
  • Full health, dental, vision insurance
  • We will process visa transfers and immigration
  • Work with founders and executives closely and participate in all aspects of company building
  • Early stage opportunity in a massive sized market with proven traction and growing rapidly
Recognition & Momentum

Xage Security has experienced explosive growth and received numerous awards and recognition, including:

  • Named by Forbes one of America’s Best Startup Employers 2024-2026
  • $17 million contract awarded by U.S. Space Force’s Space Systems Command (SSC) to offer its zero trust access control
  • Named in Gartner research on Cyber-Physical Systems Protection Platforms, Zero Trust Network Access, Privileged Access Management, and CPS Secure Remote Access
  • Named in Forrester research on Operation Technology Security, IoT, and Microsegmentation
  • Named a Gold winner for Identity & Access Security Solution in the 2024 American Business Awards
  • Named a Top 10 Security Solution in the CRN Internet of Things 50 list 2024
  • ISO 27001:2022, IEC 62443, and FIPS 140-2 Certified

445 Sherman Avenue, Suite 200
Palo Alto, CA 94306 word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word

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