Offer summary

Qualifications:

6+ years of overall experience, including 3+ years in software development and 2+ years in DevOps practices., Proven ability to maintain 99.99% uptime in production environments., 2+ years of experience with Kubernetes, Terraform, Python or Go, and AWS., Strong collaboration and communication skills across cross-functional teams..

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.

Troubleshoot complex production issues across application, infrastructure, and distributed system layers.

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 USD

San Francisco/New York Base pay range:

$165,800—$195,000 USD

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