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Software Engineer II (Full Stack), Messaging Security Products
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About the Role
Abnormal AI is seeking a Full Stack Software Engineer II to join our innovative team, working across the Messaging Security Products (MSP) division, including the Threat Visibility and Exploration Team (TREX) and the Adaptive Classifications Team (ACT). This role focuses on delivering a top-tier product experience by enhancing our core offerings in Email Security and threat visibility. The engineer will be responsible for building and maintaining comprehensive products, ensuring seamless integration from the database layer to the user interface, with a primary focus on back-end development and some front-end responsibilities (80% back end, 20% front end).
The ideal candidate will have a strong background in full-stack development, possessing in-depth knowledge of both frontend and backend technologies. This position requires leveraging skills to improve visibility into detected threats, enabling SOC teams to intuitively search and filter threat data. Additionally, the role supports SOC workflow automation by developing tools such as the AI Security Mailbox and Detection 360. If you are passionate about creating effective cybersecurity solutions and enhancing user experiences, we invite you to apply and make a meaningful impact in the industry.
What you will do
- Design and execute software projects that are crucial to Abnormal’s success, in collaboration with a team of engineers, through conception, design, implementation, launch, and operation
- Provide guidance and mentorship for junior members of the team
- Collaborate with Technical Program Managers, Product Managers, and GTM teams to implement, verify, and iterate on issues and requests from our customers
- Raise the standard of excellence in engineering by actively sharing knowledge within the team and engaging in professional development activities
- Hit the ground running by contributing to the team's work within the first two weeks
Must Haves
- BS degree in Computer Science, Applied Sciences, Information Systems, or other related engineering field
- 3+ years of industry experience designing & building fullstack software applications
- Experience with our stack:
- Expert in Python and/or Go skills
- Intermediate React, Redux, JS/Typescript
- Experience building features & components from scratch and operating them, balancing feature development work with operational tasks
- Open to following pre-established guidelines, coding practices, and conventions
- Experience working with distributed teams, proficient in asynchronous and written communication
- You’re growth-driven & looking to increase impact & responsibility over time
- You’re able to leverage AI Developer tools such as Copilot, Claude, or Cursor in your daily workflow
Nice to Have
- Familiarity with our stack: AWS, K8s, Django, Postgres/MySQL, Prometheus
- Familiarity with AWS services and deployment practices.
- Experience working with LLM-powered tools and AI assistants
- Knowledge of containerization
- Experience with distributed systems
#LI-PP1
Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location.
In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.
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.
Ready to apply?
Apply to Abnormal
Senior Software Engineer, Adaptive Classification Team
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About the Role
Abnormal AI is looking for a Senior Software Engineer to join the Adaptive Classifications Team. The team owns & operates Abnormal’s AI Security Mailbox and Detection 360 products. The team’s goal is to automate security analysts' workflows by providing them with reliable, intuitive, and delightful agentic products that give them back time in their day.
This is a full-stack team responsible for all layers, including data storage, detection efficacy, backend, and frontend. The ideal candidate will have worked across the stack and have in-depth knowledge about backend systems, distributed computing, and event-driven architecture.
What you will do
- Work with the Engineering Manager & Product Manager to craft the roadmap for the ACT team.
- Lead and architect Software Projects critical to Abnormal’s success with a team of engineers through conception, design, implementation, launch & operation.
- Provide guidance and mentorship for junior members of the team
- Collaborate with Technical Program Managers, Product Managers, and Go-To-Market teams in order to implement, verify, and iterate on the issues & requests coming from our customers
- Raise the bar of excellence in engineering, actively contributing to knowledge sharing within the team, and participating in professional development activities.
- Grow into a tech lead role for the AI Security Mailbox product
- Own key deliverables from e2e within our division's quarterly roadmap and a subset of the key divisional SLAs/SLOs
- Provide direct leverage for the team by architecting and owning AI-native workflows to eliminate team toil.
Must Haves
- BS degree in Computer Science, Applied Sciences, Information Systems, or other related engineering field
- 5+ years of industry experience on backend web development & distributed systems, designing & building software applications
- Experience working individually as well as in groups on a regular basis
- Experience working with distributed teams, proficient in asynchronous and written communication
- Experience building features & components from scratch and operating them, balancing feature development work with operational tasks
- Expert with Python and/or Go
- Proficient and bullish about AI tools such as Cursor, Claude, and other AI native workflows
- You’re growth-driven & looking to increase impact & responsibility over time
Nice to Have
- Experience with our stack: Python, Go, AWS, Kubernetes, Django, Celery, Kafka, Prometheus, Postgres/MySQL
- Experience with frontend frameworks, particularly React.js
- Tech Lead Experience
- Familiarity with AWS services and deployment practices.
- Startup or Cybersecurity Experience
- MS degree in Computer Science, Electrical Engineering, or other related engineering field
#LI-PP1
Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location.
In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.
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.
Ready to apply?
Apply to Abnormal
Job Description
About the Role
Abnormal Security is looking for a backend software engineer to work on customer-facing products that enable SOC teams to search across cloud email tenants, investigate threats, and perform remediation at scale. You'll work on systems that directly power how security teams find and act on malicious messages inside the Abnormal platform. We use AI-augmented development practices across our engineering org, and expect engineers to leverage modern AI tools to build faster and ship high-quality software with more leverage. The ideal candidate has backend and distributed systems experience, takes ownership of what they ship, and wants to work on products where reliability and speed directly affect customer security outcomes.
What You Will Do
- Design and build backend services that power search, remediation, and quarantine workflows across multi-tenant enterprise email environments
- Work with the Tech Lead, Engineering Manager, and Product Manager to scope, develop, and deliver features end-to-end
- Own the reliability of the systems you build, including unit tests, integration testing, and production observability
- Participate in on-call rotations and provide technical support to troubleshoot and resolve customer issues
- Contribute to API design for customer-facing REST endpoints used by security operations teams
- Communicate effectively in an async-first environment, provide updates, surface blockers, and propose solutions without prompting
- Leverage AI development tools to enhance productivity, optimize workflows, and deliver reliable production outcomes
- Mentor junior engineers and raise the engineering bar through code reviews and knowledge sharing
Must Haves
- BS degree in Computer Science, Applied Sciences, Information Systems, or a related engineering field
- 3+ years of industry experience in backend development and distributed systems
- Experience building features and components from scratch and operating them in production, balancing feature work with operational reliability
- Experience working with distributed teams, proficient in asynchronous and written communication
- Experience improving service reliability, resiliency, and observability in production systems
- Strong fundamentals in computer science, data structures, and system design
Nice to Have
- Experience with our stack: Python, Go, AWS, Kubernetes, Django
- Experience with search systems, remediation workflows, or operational tooling used by SOC teams
- Experience with SIEM/SOAR integrations or platform APIs
- Exposure to email security, email authentication standards (DMARC, DKIM), or cybersecurity products
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.
Ready to apply?
Apply to Abnormal
Job Description
About the Role
Abnormal Security is looking for a backend software engineer to work on customer-facing products that enable SOC teams to search across cloud email tenants, investigate threats, and perform remediation at scale. You'll work on systems that directly power how security teams find and act on malicious messages inside the Abnormal platform. We use AI-augmented development practices across our engineering org, and expect engineers to leverage modern AI tools to build faster and ship high-quality software with more leverage. The ideal candidate has backend and distributed systems experience, takes ownership of what they ship, and wants to work on products where reliability and speed directly affect customer security outcomes.
What You Will Do
- Design and build backend services that power search, remediation, and quarantine workflows across multi-tenant enterprise email environments
- Work with the Tech Lead, Engineering Manager, and Product Manager to scope, develop, and deliver features end-to-end
- Own the reliability of the systems you build, including unit tests, integration testing, and production observability
- Participate in on-call rotations and provide technical support to troubleshoot and resolve customer issues
- Contribute to API design for customer-facing REST endpoints used by security operations teams
- Communicate effectively in an async-first environment, provide updates, surface blockers, and propose solutions without prompting
- Leverage AI development tools to enhance productivity, optimize workflows, and deliver reliable production outcomes
- Mentor junior engineers and raise the engineering bar through code reviews and knowledge sharing
Must Haves
- BS degree in Computer Science, Applied Sciences, Information Systems, or a related engineering field
- 3+ years of industry experience in backend development and distributed systems
- Experience building features and components from scratch and operating them in production, balancing feature work with operational reliability
- Experience working with distributed teams, proficient in asynchronous and written communication
- Experience improving service reliability, resiliency, and observability in production systems
- Strong fundamentals in computer science, data structures, and system design
Nice to Have
- Experience with our stack: Python, Go, AWS, Kubernetes, Django
- Experience with search systems, remediation workflows, or operational tooling used by SOC teams
- Experience with SIEM/SOAR integrations or platform APIs
- Exposure to email security, email authentication standards (DMARC, DKIM), or cybersecurity products
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.
Ready to apply?
Apply to Abnormal
Senior Software Engineer - Platform Infrastructure (Federal Operations)
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About the Role
Define the Future of Platform Operations: Operate a platform built by 200 engineers with a team of only five people. The necessary tools, APIs, and infrastructure for efficient operation do not yet exist and must be built. Gain Broad, Deep Expertise: The role offers hands-on involvement across the entire product and development stack.
Recent examples include:
- Tracing commercial-side dev infrastructure build pipelines.
- Designing Continuous Delivery (CD) processes for government deployments that will eventually be used commercially.
- Improving underlying cloud infrastructure emission processes.
- Working with application teams to learn about and deploy nearly every product
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
Must-Have Qualifications
- Proven ability to maintain 99.99% uptime in production environments
- 7+ 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
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
#LI-NT1
Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location.
In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.
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.
Ready to apply?
Apply to Abnormal