Lead Software Engineer - Threat Platform

About AppOmni

AppOmni, a leader in SaaS Security, helps customers achieve secure productivity with their applications. Security teams and owners can quickly detect and mitigate threats using unmatched depth of protection, continuous monitoring, and comprehensive visibility. Trusted by over 25% of the Fortune 100, AppOmni specializes in securing diverse SaaS environments.

About the Role

AppOmni is seeking a Lead Software Engineer to join our Threat Platform team. In this role, you will be a technical leader, responsible for designing and building high-throughput data pipelines in Python and Go, driving architectural decisions, and mentoring other engineers. You will have a broad business impact by developing and scaling our SaaS security platform, helping customers identify, prioritize, and respond to threats in real time.

Our Mission

We aim to lead in SaaS security by delivering innovative Threat Detection and Response solutions that empower customers to protect their environments with confidence. You will play a key part in fulfilling this mission by architecting robust, petabyte-scale systems and guiding cross-functional collaboration to ensure high-impact feature delivery.

What You’ll Do:

1. Architect & Implement High-Throughput Data Pipelines
• Design and build scalable, cloud-native data pipelines leveraging Python and Go.
• Integrate and optimize streaming technologies (e.g., Kafka, PubSub, Pulsar) and analytics engines (e.g., ClickHouse, Trino, Spark) to ingest and process petabytes of data daily.
• Ensure solutions meet high-performance and low-latency requirements for enterprise SaaS environments.
2. Technical Leadership
• Drive technical direction for the Threat Platform team, providing guidance on system design, coding practices, and tooling.
• Collaborate with other senior engineers, architects, and stakeholders to define architecture that balances current needs with future scalability.
3. Project Ownership & Cross-Team Collaboration
• Lead the end-to-end execution of complex projects that involve multiple teams, from initial scoping to delivery and post-launch support.
• Partner with Product Management, Security Research, and Data Science teams to align technical solutions with business goals and customer needs.
4. Mentoring & Team Development
• Serve as a go-to resource for technical questions, reviews, and best practices.
• Mentor and coach junior and mid-level engineers, fostering a culture of ownership, continuous learning, and collaboration.
5. Quality, Reliability & Observability
• Champion engineering excellence by promoting test-driven development (TDD), code reviews, and proactive monitoring.
• Advocate for reliability, observability, and scalability at every stage of the development lifecycle.
6. Continuous Improvement
• Identify and address technical debt, proposing innovative improvements to current features, codebase, and team practices.
• Stay informed of industry trends and new technologies; evaluate and recommend tools or processes that boost team productivity and product performance.

What We’re Looking For:

• 8+ years of professional software engineering experience, including hands-on development in Python or Go (experience in both is ideal).
• Proven track record in designing and architecting large-scale, petabyte-scale data pipelines or similar distributed systems.
• Experience with streaming platforms (e.g., Kafka, Pub/Sub, Pulsar) and analytics engines (e.g., ClickHouse, Trino, Spark) to enable low-latency querying and high-volume data ingestion.
• Cloud-native development proficiency (e.g., containerization, CI/CD pipelines, microservices, observability tools).
• Strong understanding of SaaS, security operations, or detection engineering is a plus (though not required).
• Demonstrated ability to mentor peers, review code with a keen eye for quality, and influence engineering best practices across an organization.
• Excellent communication skills—capable of explaining technical concepts to diverse audiences and driving consensus.
• Comfortable in agile or agile-esque environments focused on rapid iteration, feedback, and continuous improvement.

What Success Looks Like:

• You consistently deliver high-impact features on time, simplifying complex problems into maintainable, scalable solutions.
• You elevate the technical skillset of the team—facilitating mentorship, driving adoption of best practices, and proactively addressing gaps.
• You influence cross-functional stakeholders, aligning technical decis