Guide Delivery and Collaboration

• Work with Product Management and partner teams to clarify priorities, scope work, and establish realistic plans.
• Balance new integration development with maintenance, customer needs, and technical debt.
• Identify risks and dependencies early, remove blockers, and keep stakeholders informed.
• Partner effectively with Architecture, Quality Engineering, DevOps, Customer Success, and Support.
• Improve team processes without adding unnecessary complexity or overhead.

Use AI Practically

• Encourage thoughtful use of AI-assisted development, testing, documentation, and code-review tools.
• Help the team automate repetitive work where it meaningfully improves speed or quality.
• Apply sound judgment to AI-generated output, with appropriate human review for security, reliability, and maintainability.

Requirements

• Experience managing or formally leading software engineers in a first-line leadership capacity.
• A hands-on leadership style and the willingness to remain technically engaged with the team.
• Solid backend software-engineering experience in Python, Go, Java, or a comparable language.
• Experience building, integrating, or operating production software and APIs.
• A practical understanding of microservices, distributed applications, or cloud-based systems.
• The ability to translate product or customer needs into clear, achievable engineering work.
• Strong communication, prioritization, problem-solving, and cross-functional collaboration skills.
• A track record of coaching engineers and delivering reliable software in an evolving environment.
• A bachelor's degree in Computer Science, Engineering, or a related field

Preferred Qualifications

• Cybersecurity products or domains such as SIEM, SOAR, EDR, NDR, XDR, or security automation.
• API and integration patterns such as REST, GraphQL, webhooks, streaming APIs, OAuth, or rate limiting.
• Message queues, event-driven systems, or workflow orchestration technologies.
• AWS, Microsoft Azure, Google Cloud Platform, containers, or Kubernetes.
• Large-scale data processing, observability, incident management, or site-reliability practices.
• AI-assisted engineering tools, LLM APIs, function calling, MCP, or agent-based workflows.
• Experience working with globally distributed engineering teams.

Benefits

• Pre-IPO Stock Options (equity opportunity)
• Medical, Dental & Vision care
• Life Insurance
• 401(k)
• Employee Assistance Program
• Paid time off
• Referral Program
• Rewards and Recognition Program

Why join us?

• Work at the forefront of cybersecurity innovation within a dynamic, fast-growing team.
• Opportunity to significantly influence and shape the integration architecture of a next-generation SecOps platform powered by AI and automation.
• Competitive salary, comprehensive benefits, and ample career growth opportunities.

The base compensation range for this role is USD 200,000-275,000 per year. Total compensation includes bonus opportunity and equity, and will vary based on candidate location.

Originally posted on Himalayas