Abnormal AI is seeking a Software Engineer to join the Message Infrastructure team, responsible for building and maintaining systems that support the ingestion of billions of emails daily. The ideal candidate will design and execute critical software projects while ensuring the stability and performance of backend services essential to the company's core product.
Responsibilities:
- Design & execute software projects that are critical to Abnormal's core product, working with a team of engineers through conception, design, implementation, launch, and operation
- Own and improve the stability, performance, and scalability of tier 0 backend services that process billions of emails daily
- Collaborate with teams across R&D including Detection, Products, and Infrastructure to ensure Message Infra services meet the needs of the broader organization
- Participate in oncall rotations to maintain the reliability and uptime of mission-critical systems
- Drive continuous improvement by identifying opportunities to enhance system efficiency, reduce operational overhead, and increase reliability
- Raise the bar of engineering excellence, actively contributing to knowledge sharing within the team and participating in professional development activities
Requirements:
- BS degree in Computer Science, Applied Sciences, Information Systems or other related engineering field
- 3+ years of industry experience on backend software development & distributed systems, designing & building software applications
- Experience with our stack: Go and/or Python
- 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
- Open to following pre-established guidelines, coding practices and conventions
- You're growth driven & looking to increase impact & responsibility over time
- Experience with our stack: AWS, K8, Django, Spark, Prometheus
- Familiarity with AWS services and deployment practices
- Knowledge of containerization using Docker or similar technologies