Senior / Staff Software Engineer - Integration Team

The SENIOR / STAFF SOFTWARE ENGINEER - INTEGRATION TEAM is responsible for owning and advancing integration domains within an AI-powered security operations platform. The role focuses on delivering and scaling robust integrations and data processing components that enable effective threat detection and analytics. This position contributes significantly to the platform’s evolution and reliability while mentoring other engineers and leveraging AI to enhance development workflows., * Own end-to-end integration domains including roadmap and architecture decisions.

• Develop and evolve shared integration frameworks for data parsing and normalization.
• Make design decisions involving schema mapping and handling data irregularities.
• Collaborate with detection and data teams to ensure data meets analytical needs.
• Mentor junior engineers through design and code reviews.
• Utilize AI tools to accelerate design, development, testing, and automation tasks.
• Promote AI adoption and build internal tooling to improve team efficiency.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Over 5 years of backend software development experience, including integration or log processing.
• At least 1 year of experience as a technical lead or similar ownership role.
• Proficiency in a general-purpose programming language such as Python, Go, Java, or C++.
• Experience with API design and integration (REST, GraphQL, streaming), including secure patterns.
• Strong understanding of log/data formats, regular expressions, normalization, and schema design.
• Proven use of AI tools to enhance engineering workflows with sound judgment.
• Strong problem-solving and communication skills.

Preferred Qualifications:

• Experience with cybersecurity security domains and data sources.
• Experience in building and operating microservices in production.
• Knowledge of large-scale data processing and event-driven architectures.
• Background in distributed systems and orchestration frameworks.
• Familiarity with cloud platforms and containerized deployments.
• Experience integrating AI services or building AI-native workflows.
• Hands-on experience using LLMs for log analysis and parser generation.

Pay Range and Compensation Package:

• The pay range and compensation package for this role will be determined based on the candidate’s experience, skills, and other relevant factors.

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.

This organization operates in the cybersecurity industry, providing solutions that protect enterprises and government agencies from sophisticated cyber threats. Their platform is trusted by a significant portion of the world’s leading managed security service providers, emphasizing automation and AI to enhance security operations. They address challenges in integrating diverse cybersecurity tools and data, supporting large-scale, AI-driven security analysis.