• Developing program logic for new applications and modifying logic in existing applications. • Coding, debugging, implementing and maintaining software applications. • Maintaining and integrating new application components. • Ensuring deployment of system improvements.

• Architect and build the core trading systems that execute our fair value models across sports betting exchanges at scale • Design event-driven trading systems that consume fair value models and market data to make sub-second execution decisions • Build the core logic for comparing fair values against live market prices and determining when/where to trade • Implement asynchronous order generation, submission, and cancellation workflows across multiple venues with different latency profiles • Design state machines for order lifecycle management (pending, accepted, filled, cancelled, rejected) with proper event ordering and idempotency • Build venue-specific integrations (WebSocket connections to Matchbook, Kalshi; REST API adapters for Betfair; FIX protocol handlers) • Implement intelligent order routing that selects optimal venues based on liquidity, fees, latency, and position constraints • Design coordination logic for managing orders across multiple venues when a single bet spans several platforms • Handle venue-specific quirks (rate limiting, connection drops, partial fills, odds movement during submission) • Build real-time position tracking systems that aggregate exposure across all venues, markets, and event types • Implement global liability management that enforces risk limits while maximizing capital utilization • Design systems that detect and respond to position drift (when actual fills deviate from intended exposure) • Create reconciliation engines that validate positions against venue reports and detect/resolve discrepancies • Design data pipelines that ingest real-time market data from multiple feeds (WebSocket streams, REST polling, custom adapters) into low-latency in-memory stores • Build efficient order book representation and query systems optimized for fast fair value lookups • Implement message ordering and deduplication logic for ensuring consistent state across async operations • Design persistent logging and event sourcing for order/trade auditing and post-incident analysis

Who You Are: You’re a seasoned software engineer ready for your next challenge. In this role, you’ll join Invicti’s newly formed AI team as a Senior Software Engineer, Agentic AI, and play a pivotal role in building our next-generation Agentic AppSec solution. As AI reshapes how software is built and how attackers exploit it, you’ll help give defenders an edge by applying attacker-inspired techniques to solve modern security challenges. You design, build, and deliver software solutions rapidly, working across the stack from agent architectures and memory systems to integrations with security tools and developer workflows. You collaborate closely with product and security teams to deliver capabilities that solve real customer problems. You thrive in a high-ownership role on a small team, where your technical decisions directly shape the product, with an initial focus on agentic pentesting. What You’ll Be Doing: - Multi-Agent System Development: Design and implement autonomous agent systems in Python using frameworks like AWS Strands Agents, with emphasis on orchestration, reasoning, and decision-making - MCP Integrations: Create Model Context Protocol integrations connecting Octo to security tools, developer environments, and AI coding assistants like Cursor and GitHub Copilot - LLM Prompt Engineering: Develop and refine prompt chains for real security use cases, including triage, prioritization, and remediation - RAG & Memory Systems: Build retrieval-augmented generation pipelines and memory architectures that give agents a persistent, contextual understanding of customer environments - End-to-End Ownership: Own features from design through production — build, test, deploy, and measure outcomes - Cross-Team Collaboration: Work closely with product, platform engineering, security research, and infrastructure teams to ensure we're building what customers need - Experimentation & Productization: Evaluate new AI/ML capabilities and determine how to bring them to production

• Ideate and formulate a pragmatic blueprint for .Net development platform solution and subsequent development. • Collaborate well with engineers, researchers, and data implementation specialists to design and create advanced, elegant, and efficient .Net , Angular based solutions. • Implement best practices in coding, collaborating, and maintaining code repositories. • Maintain quality and ensure responsiveness of .Net , C#, Angular based platforms. • Provide real time knowledge transfer to the team on the Requirements based on client facing meetings and white boarding workshops. • Help in writing a comprehensive proposal with the help of the other engineers on the project. • Work in an agile environment based on the defined sprint backlogs to deliver the assigned work in the stipulated timelines. • Adhere to software development best practices and coding standards in all work products and participate in the refinement of those practices.