We're looking for a Senior Software Backend Engineer with strong DevOps expertise to lead and 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 Senior 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, problem-solving skills, and leadership experience
- 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
- Balances individual technical work with big picture system and team needs
- 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
- Mentor junior engineers in software development and operational best practices
- Collaborate with stakeholders and product teams on infrastructure and deployment requirements
- Ensure compliance with government cloud standards across applications and infrastructure
- Proven ability to maintain 99.99% uptime in production environments
- 10+ years of overall experience, including 6+ years in software development and 3+ years in DevOps practices.
- 3+ years of experience with Kubernetes, Terraform, Python or Go, and AWS
- 4+ years of experience working with distributed systems
- Familiarity with Redis, Kafka/PubSub, and relational databases
- 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
- Experience with FedRAMP compliance and government security requirements
- Track record of implementing secure CI/CD pipelines in restricted or regulated environments
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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.
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.
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What We Do
The Abnormal Security platform protects enterprises from targeted email attacks. Abnormal Behavior Technology (ABX) models the identity of both employees and external senders, profiles relationships and analyzes email content to stop attacks that lead to account takeover, financial damage and organizational mistrust. Though one-click, API-based Office 365 and G Suite integration, Abnormal sets up in minutes and does not disrupt email flow.
Abnormal Security was founded in 2018 by CEO Evan Reiser, CTO Sanjay Jeyakumar, Head of Machine Learning Jeshua Bratman, and Founding Engineers Abhijit Bagri and Dmitry Chechik. The team previously built behavioral profiling and machine learning technologies at Twitter, Google and Pinterest that are being applied to solve a problem that costs organizations $1 billion per year, according to the FBI. The Abnormal Security platform stops targeted phishing, business email compromise and account takeover attacks that have never been seen before.
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