We are seeking an experienced Hands-On Rust Engineering Team Lead to lead a team of talented engineers while remaining deeply involved in architecture, design, and development. This role combines technical leadership, people management, and hands-on engineering in a fast-paced cybersecurity environment.

Key Duties & Responsibilities

Technical Leadership (Hands-On)

• Design, develop, and maintain scalable backend services and selected front-end components for our platform
• Lead the implementation of high-throughput data ingestion and processing pipelines for large-scale security data
• Integrate AI-driven analytics capabilities and optimize system performance, reliability, and scalability
• Architect and develop APIs and integrations with a wide range of IT and security tools
• Ensure robust security design, secure coding practices, and compliance with industry standards
• Troubleshoot and resolve complex, cross-stack production issues

Team Leadership & Management

• Lead, mentor, and manage a team of software engineers, including onboarding, coaching, and career development
• Drive technical excellence through code reviews, design reviews, and engineering best practices
• Own technical decision-making, architecture discussions, and trade-off analysis
• Collaborate closely with product, research, DevOps, and security teams to deliver end-to-end solutions
• Plan and execute sprint goals, manage technical debt, and ensure predictable delivery

Skills & Qualifications Required

Required Qualifications

• Bachelor’s degree in Computer Science or a related field
• At least 4 years of experience as a Team Leader.
• 5+ years of professional software development experience, including hands-on experience with Rust
• Strong fundamentals in computer science, cybersecurity, and networking
• Proficiency in Rust; familiarity with Go, Java, and C++ is an advantage
• Experience with cloud platforms, containerization, and microservices architectures
• Strong understanding of SQL and NoSQL databases
• Experience with real-time data processing, analytics frameworks, and modern front-end technologies
• Expertise in data pipeline technologies, the ELK stack, and Apache Kafka
• Familiarity with observability tools such as Datadog and Vector
• Proven experience building high-throughput, low-latency systems serving millions of users

Preferred Qualifications

• Experience with SIEM platforms and machine learning applications in cybersecurity
• Familiarity with big data technologies, time-series databases, and data warehousing solutions
• Knowledge of GraphQL, infrastructure-as-code tools, and service mesh technologies
• Contributions to open-source projects or relevant technical publications

Technical Skills & Knowledge

• Data pipelines and ETL processes
• Distributed systems (Kafka, Flink/Spark, Redis)
• ELK stack for log ingestion, search, and analytics
• Cloud-native and serverless architectures
• API design, versioning, and governance
• Performance tuning and scalability for large-scale systems
• Security best practices (OAuth 2.0, encryption, data protection)
• DevOps, CI/CD, and SRE practices