Senior Software Engineer - Devops/Backend (Bay Area, Hybrid)

Fortanix • Santa Clara, CA

6d • $155,000 - $220,000 • Hybrid

About The Position

In today's world, where data spreads across various clouds and devices, traditional security measures aren't enough. Businesses need a dynamic approach to defend against constant cyber threats and ensure agile data security. Fortanix leads the way in data-centric cybersecurity for hybrid multicloud environments, using advanced cryptography, encryption, and confidential AI solutions.
As data breaches become more frequent and traditional defenses fall short, we focus on data exposure management to keep your information safe. Our unified data security platform addresses vulnerabilities in hybrid multicloud environments, defends against threats, and makes it easier to discover, assess, and fix data exposure risks. Whether implementing a Zero Trust model or preparing for the post-quantum computing era, we help businesses worldwide protect their most sensitive data, wherever it is.
Our commitment to solving the world’s toughest data security challenges has earned Fortanix multiple Cybersecurity Excellence and Innovation Awards, as well as recognition from industry giants such as NVIDIA, Microsoft, Intel, ServiceNow, and Snowflake.
Our team includes industry leaders and cryptography experts, creating a culture of trust, innovation and collaboration where every voice is valued. Recognized as a Great Place to Work, we're looking for passionate individuals to help us shape the future of data security and work towards a safer digital future.
We’re looking for a Senior Software Engineer - Devops/Backend to join our Confidential Computing Management team.

Requirements

• At least 8+ years of professional experience:
• Proficient with various programming languages such as Python/Go/Ruby for automation and integrations.
• Familiarity with microservice architecture and backend engineering.
• 4+ years of experience with Linux system programming, builds and deployment.
• 6+ years of software engineering experience in development, operations, and full stack implementations.
• Experience with the core suite of tools used to manage infrastructure and deployment of application in different cloud providers (Azure, AWS, GCP)
• 4+ years of proven experience as a DevOps Engineer or similar role.
• Strong networking experience with technologies in TCP/IP, WAN, Gateways, Switching/Routing and Cloud Networking.
• At least 4 years of hands on experience with virtualization or container environments like VMWare, KVM and Docker
• Hands on experience with Orchestration frameworks like Kubernetes.
• A bachelor's or master's degree in Computer Science, Information Systems, or related field, or equivalent training or work experience
• Configuration and provisioning management tools like Chef, Ansible, and Puppet

Nice To Haves

• Experience with Confidential Computing infrastructure a plus.

Responsibilities

• Designing and building microservices for our secure Generative AI platform.
• Working closely with the data science team to enhance LLM (Large Language Model) performance through data engineering.
• Working directly with the ML Infrastructure and Platform teams to identify opportunities to further improve and optimize the tools and solutions.
• Applying best practices for security, performance, and reliability.

Benefits

• We offer a collaborative work environment, amazing equity, great benefits, competitive salary, and the opportunity to redefine cloud computing.
• Unlimited PTO (it’s between you and your work!)
• 40 hours of Volunteer Time Off/year
• Internet stipend
• Friendly culture that brings the best out of everybody
• 401k
• Base salary offers for this position may vary based on factors such as location, skills, and relevant experience. Some positions may include additional compensation in the form of bonus, equity or commissions. We offer the following benefits: Medical, Dental, Vision, Life Insurance, Retirement Savings, Wellness Program, Short-and Long-Term Disability, Holidays, and more.
• The compensation for this role is $155,000 - $220,000 / Year.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level