AppOmni-posted 27 days ago
$190,000 - $210,000/Yr
Full-time • Mid Level
Remote • San Francisco, CA
101-250 employees
Professional, Scientific, and Technical Services

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. 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. 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.

  • Architect & Implement High-Throughput Data Pipelines
  • Design and build scalable, cloud-native data pipelines leveraging Go / Golang.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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).
  • 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.
  • Excellent communicators - you can clearly explain both technical and non-technical concepts.
  • Quality-focused - you take pride in writing well-tested code and are confident testing your own work.
  • Creative problem solvers - you enjoy finding innovative solutions to complex problems using data from multiple sources.
  • Bachelor's degree in Computer Science, Software Engineering, or equivalent industry experience.
  • Strong understanding of SaaS, security operations, or detection engineering is a plus (though not required).
  • working remotely
  • new hire home office / computer equipment stipend
  • generous paid time off
  • paid company holidays
  • paid floating holidays
  • paid parental leave
  • paid sick time and paid family leave for applicable states
  • health insurance - medical, dental, and vision with HSA option
  • LifeWorks Employee Assistance Program
  • company-provided life insurance, AD&D, STD/LTD and additional supplemental life insurance options
  • 401(k) and Roth retirement saving accounts
  • monthly wellness benefit reimbursement
  • stock options
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