Software Engineer II - Site Reliability

Job Description:

About the Role

We're looking for a Software Backend Engineer with strong DevOps expertise to support our team managing restricted government cloud environments for federal customers. This role involves both building scalable infrastructure and supporting distributed systems, with a focus on reliability, performance, and compliance.

As a Software Backend and DevOps Engineer, you'll troubleshoot production issues, enhance infrastructure, and ensure a smooth, secure experience for federal users. You’ll also collaborate with cross-functional teams to drive continuous improvements in deployment, monitoring, and system design.

The ideal candidate:

• Brings a combination of technical depth and problem-solving skills
• Navigates ambiguity and works effectively in complex, distributed systems
• Collaborates across teams and escalates issues when needed to maintain progress
• Identifies and addresses inefficiencies in workflows and operations
• Contributes to clarity, accountability, and process improvement

Key Responsibilities

• Automate and build tools to eliminate repetitive operational tasks and reduce toil
• Maintain and scale reliable software applications using DevOps best practices
• Build and enhance CI/CD pipelines for automated testing, builds, and deployments
• Optimize and maintain Kubernetes-based orchestration systems for performance and reliability
• Troubleshoot complex production issues across application, infrastructure, and distributed system layers
• Participate in on-call rotations and support incident response
• Collaborate with stakeholders and product teams on infrastructure and deployment requirements
• Ensure compliance with government cloud standards across applications and infrastructure

Must-Have Qualifications

• Proven ability to maintain 99.99% uptime in production environments
• 6+ years of overall experience, including 3+ years in software development and 2+ years in DevOps practices.
• 2+ years of experience with Kubernetes, Terraform, Python or Go, and AWS
• 2+ years of experience working with distributed systems
• Experience in fast-paced or startup-like environments
• Strong collaboration and communication skills across cross-functional teams and divisions
• Ability to ramp up quickly and contribute in complex, large-scale environments
• Demonstrated leadership in incident management and operational reliability

Nice-to-Have Qualifications

• Experience with FedRAMP compliance and government security requirements
• Track record of implementing secure CI/CD pipelines in restricted or regulated environments
• Familiarity with Redis, Kafka/PubSub, and relational databases

#LI-NT1

At Abnormal AI, certain roles are eligible for a bonus, restricted stock units (RSUs), and benefits. Individual compensation packages are based on factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons. We know that benefits are also an important piece of your total compensation package. Learn more about our Compensation and Equity Philosophy on our Benefits & Perks page.

Base pay range:$148,800—$175,000 USDSan Francisco/New York Base pay range:$165,800—$195,000 USD

Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.

Export Compliance Notice:This position involves access to technology that is subject to the U.S. Export Administration Regulations (EAR). As a result, candidates offered employment must be eligible to access controlled technology under U.S. export control laws. Employment in this position is conditioned on the availability of government authorization.
The Company may delay commencement of employment, rescind an offer of employment, terminate employment, as Company deems appropriate, in order to ensure compliance with applicable government access control restrictions.
As part of Abnormal AI's secure hiring practices, we conduct video interviews and validate applicant identity at various stages through our recruitment process. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards.