Hybrid Software Engineer

at Abnormal Security

• Job title: Software Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: No Education Requirement
• Tech skills: Distributed Systems, NoSQL, Python, SQL, Go
• Location requirements: Hybrid, Bangalore, India

About the role

• Backend Software Engineer joining Abnormal Security to develop scalable infrastructure for cybersecurity. Building platforms that drive business growth and enhance development velocity.

Responsibilities

• Work with the Tech Lead, Engineering Manager and Product Manager to develop and deliver key features for the product
• Assist in guiding and mentoring junior members of the team
• Assume ownership of the reliability of the features you develop, including comprehensive unit tests and rigorous integration testing
• Participate in on-call rotations and provide technical support to effectively troubleshoot and resolve customer issues
• Communicate effectively with the team in an async manner. Display a strong sense of initiative and ownership in providing updates, discussing challenges and proposing solutions without prompting
• Raise the bar of excellence in engineering, actively contributing to knowledge sharing within the team and participating in professional development activities

Requirements

• 4+ years backend engineering with distributed systems - designing, building, and operating production applications in Python and Golang
• Proven platform ownership - end-to-end system design and delivery, balancing feature development with operational responsibilities at scale
• Low-latency, high-throughput expertise - building resilient, scalable systems with SQL/NoSQL databases and strong operational excellence (monitoring, fault tolerance, incident response)
• Architectural thinking - write technical design docs, make practical trade-offs, and influence cross-team technical direction with a futuristic view of system growth
• Growth-oriented mindset - demonstrated trajectory of increasing impact, responsibility, and ownership over time
• Asynchronous collaboration excellence - strong written communication and proven ability to work autonomously with distributed teams and remote stakeholders
• Quality-driven execution - detail-oriented approach to code quality, testing, and performance with a focus on sustainable, maintainable systems.

Benefits

• solve hard, meaningful problems at the intersection of AI, security, and large-scale distributed systems.
• work with smart, kind, and ambitious teammates who care deeply about craftsmanship, learning, and helping each other grow.
• get real ownership and autonomy over important parts of our systems and roadmap, with clear opportunities to grow toward Senior and Staff roles over time.
• be part of an AI-native R&D organization, with strong investment in tools, workflows, and training to help engineers use AI to move faster while raising the quality bar.