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 Abnormals 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 teams 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 React Redux JS/Typescript
- Intermediate Python and/or Go skills
- 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
- Youre growth-driven & looking to increase impact & responsibility over time
- Youre 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
Required Experience:
IC
About the RoleAbnormal 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 ...
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 Abnormals 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 teams 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 React Redux JS/Typescript
- Intermediate Python and/or Go skills
- 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
- Youre growth-driven & looking to increase impact & responsibility over time
- Youre 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
Required Experience:
IC
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