Manager, Engineering

Responsibilities

• Lead a team responsible for evolving the parsing platform and associated data processing systems
• Drive delivery aligned to quarterly priorities and roadmap commitments
• Partner with Product and Architecture on planning and execution
• Contribute to longer-term technical and organizational direction
• Lead, mentor, and manage a team delivering high-quality, production-scale systems
• Drive execution of team deliverables and ensure alignment with priorities and goals
• Remove blockers, provide clarity, and ensure the team is operating effectively
• Guide development of high-performance services in a real-time data pipeline (streaming and batch)
• Ensure strong standards for system reliability, data quality, and maintainability
• Partner with architects and engineers on system design and evolution of the parsing platform
• Establish and reinforce best practices for development, testing, and deployment
• Oversee the software development lifecycle and ensure timely delivery of milestones
• Serve as the primary point of contact for collaboration between teams in North America and India, ensuring alignment on priorities, execution, and delivery across distributed teams and time zones
• Build strong relationships across teams working on pipeline, detection, and platform systems
• Develop team members through coaching, mentorship, and performance management
• Lead hiring and contribute to recruitment strategy
• Experience & Requirements
• 8+ years of software engineering experience, with 2-3+ years in a management role
• Experience leading teams of 5+ engineers delivering production systems
• Strong background in backend or distributed systems
• Experience with large-scale data or pipeline systems
• Experience working with cloud platforms (AWS, Azure, or GCP)
• Familiarity with containerized environments (Docker, Kubernetes)
• Experience working in Agile development environments
• Strong problem-solving skills and ability to operate in fast-paced environments

Requirements

• Experience with high-throughput or real-time data processing systems
• Familiarity with stream processing (e.g., Kafka, Flink, Spark)
• Experience with systems handling diverse or evolving data formats
• Background in platform or infrastructure engineering
• Exposure to cybersecurity or data-intensive domains
• On-Camera Policy
• About Arctic Wolf

Benefits

Additional Information

At Arctic Wolf, you won't just watch the cybersecurity industry evolve - you'll help lead the change. Our global Pack is made up of people who thrive on solving hard problems, moving fast, and building technology that protects organizations around the world. We're proud to be recognized by Forbes, CNBC, Fortune, CRN, Bartner Peer Insights and IDC MarketScape - but what matters most is the work behind it: delivering real outcomes for customers through award winning innovation like our Aurora Platform. If you're looking for meaningful work, smart teammates and the chance to make a real impact in a high-growth company that's redefining security operations, Arctic Wolf is the right place for you! Our mission is simple: End Cyber Risk. We're looking for a Manager,Engineering to be part of making this/that happen. Position Overview and Objective We are looking for a Manager, Engineering to lead a small, dedicated team focused on rethinking and rearchitecting Arctic Wolf's parsing platform, a critical layer in our data pipeline that enables ingestion and normalization of diverse data sources. Arctic Wolf processes trillions of events per day across a wide range of on-premise and cloud systems. As data volume and complexity grow in a rapidly changing AI-amplified threat landscape, scalable and adaptable data processing is increasingly critical. This team will build the next generation of the parsing framework. As a manager, you will guide execution, support technical direction, and develop a high-performing team.

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