We are looking for: a Backend Senior Software Engineer, Attack and User Emulation Team (AUE), you will serve as a primary technical leader driving the evolution of our core cyber range emulation platform. In this role, you will leverage deep expertise in microservices, event-driven messaging systems, Spring Boot, and containerization to architect and scale complex, distributed emulation services. These high-impact systems enable our users to simulate real-world cyber attacks and user personas with high fidelity and realism. As a Senior Software Engineer, AUE, you will help shape the integration of AI-assisted capabilities into the platform. You will design scalable, secure patterns for coordinating AI-enabled services and workflows so that attack and user emulations can become more dynamic, autonomous, and responsive. You may evaluate and adopt emerging interoperability approaches, including Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocol, as the platform evolves. Your reach extends beyond feature delivery. You will own the long-term technical vision and architecture for critical platform capabilities, drive engineering excellence across teams, and act as a multiplier by mentoring engineers and shaping team strategy. You will balance strategic architectural design with hands-on code delivery, solving complex, high-risk technical problems. What will you be doing as our Senior Software Engineer, AUE: Architectural Leadership & Execution: Architect, design, and deliver highly scalable, fault-tolerant, and resilient distributed microservices for cybersecurity range simulations, setting technical standards across systems. AI & Agent Infrastructure: Design and implement platform capabilities that coordinate AI-enabled services and autonomous workflows to support intelligent emulation behaviors, reliable context exchange, and clear operational controls. You will evaluate and adopt appropriate interoperability patterns and protocols as the platform evolves. Cross-Functional & Strategic Ownership: Partner closely with Product Managers, UX Designers, and Engineering Leadership to define roadmap priorities, decompose multi-quarter initiatives into actionable technical milestones, and lead complex end-to-end execution. Technical Excellence & Standards: Drive system reliability, performance tuning, and fault tolerance strategies. Establish and champion best practices in code quality, testing methodologies, API design, and system architecture across the team. Mentorship & Talent Development: Mentor and coach engineers across levels, actively supporting their growth through regular design reviews, code reviews, constructive feedback, and delegation of high-impact technical initiatives. Operational Maturity & Observability: Design and implement robust observability, telemetry, and proactive alerting frameworks to ensure high availability, fast incident resolution, and zero-downtime deployments. Security-First Engineering: Embed security, compliance, and offensive/defensive mitigation patterns directly into system design and the software development lifecycle. Knowledge Sharing & System Design: Author and maintain architectural decision records (ADRs), technical spec documents, and system design patterns to align teams and build long-term organizational knowledge. What are the qualifications to apply? To be successful as a Senior Software Engineer, AUE, you need to have: 4+ years of hands-on software development experience with a track record of architecting, building, and operating large-scale, distributed microservices in production. 2 year degree in science & technology or commensurate experience. Deep Expertise in OOP languages such as Java or Kotlin, with proven experience in advanced API design, system integration, and event-driven architectures. Production Expertise in container orchestration platforms (Kubernetes, Docker) and enterprise frameworks (Spring Boot). AI & Agent Systems Integration: Experience integrating AI/LLM capabilities into production software systems, with sound judgment around service boundaries, context management, reliability, security, and observability. Experience with agentic workflows, orchestration systems, Model Context Protocol (MCP), or Agent-to-Agent (A2A) communication patterns is a plus. Proven Track Record of leading complex, multi-system initiatives from ideation to delivery, making sound pragmatic trade-offs between speed, scalability, and technical debt. Domain Context: Strong understanding of cybersecurity concepts, including offensive/defensive tactics, user emulation techniques, or threat landscapes. Advanced Problem Solving: Experience identifying system bottlenecks, improving fault tolerance, and resolving complex distributed systems failures. Bonus / Nice-to-Have Qualifications: Experience evaluating or integrating AI or machine learning capabilities into production backend systems, particularly when model-driven behavior must be reliable, observable, and safely controlled. Exposure to Reinforcement Learning (RL) concepts (e.g., reward functions, policy optimization, or multi-agent RL environments), particularly applied to decision-making or simulation modeling. Who you are: A Technical Leader & Multiplier: You naturally drive strategic initiatives, elevate those around you, and foster a culture of technical rigor, accountability, and continuous improvement. An Innovative AI Practitioner: You are excited about the frontier of agentic AI and eager to integrate technologies like MCP, agent workflows, and ML/RL techniques to push the boundary of realism in cyber emulation. Collaborative & Pragmatic Architect: You excel at breaking down ambiguous problems into manageable solutions and balancing technical perfection with business delivery goals. Growth-Minded & Open: You embrace continuous feedback, enjoy mentoring colleagues, and foster psychological safety through constructive, honest collaboration. Outcome & Systems-Focused: You are driven by impact and customer outcomes, building reusable, maintainable systems that scale seamlessly with business growth. Cybersecurity Enthusiast: You bring domain interest or hands-on experience in security platforms and love solving challenges unique to cyber simulation. Our Tech Stack: Languages: Kotlin, Java, Python, Go Frameworks & Infrastructure: Spring Boot, Kubernetes, Docker, VMware Architecture: Microservices, Event-Driven Systems, Distributed Messaging We're proud to offer a competitive and comprehensive package designed to support your well-being, growth, and success: Compensation. Base salary range: $185,000 - $260,000, reflecting our confidence in your expertise and impact, with the opportunity for annual bonuses tied to company performance and individual contributions. Health & Wellness. Comprehensive medical, dental, and vision benefits, plus savings plans-coverage starts on day one! Mental Health Support. Access to company-paid counseling, coaching, and resources for you and your family through Spring Health. Financial Well-Being. Plan for your future with a 401(k)-retirement savings plan featuring a company match. Parental Leave. Paid leave plans to support you and your loved ones during life's most important moments. Ownership Opportunities: Equity stock options at hire, with annual performance-based grants-become an invested stakeholder in our shared success. Referral Rewards: Earn $1,500-$3,500 for every qualified hire through our employee referral program. Peloton Interactive Wellness Program: Full- and partial- subsidized membership plans and equipment discounts to help you reach your personalized wellness goals. Continuous Learning: Access a LinkedIn Learning membership to prioritize your personal and professional development. Social Connections: Monthly reimbursements for meaningful connections with teammates through our SocialSpace Community. Extra Perks: Legal plan coverage, pet insurance, wellness reimbursements, and more to simplify life's details.