• Produce high-quality, performant, and testable code that directly contributes to company-wide initiatives. • Develop using interesting technologies -- Java, Kotlin, Typescript, GraphQL, Kafka, AWS/Lambda, PostgreSQL, DynamoDB and the legacy services are written in Elixir, Ruby, React. • Have significant input into technical decisions that will shape the future of our software systems. • Learn something new, whether its a new software design pattern or new initiative to push the company forward. • Review pull requests and provide constructive feedback to your peers. • Pair up with a team member to work together on features. • Deploy user-facing code to production.

• Implement, test, and maintain software with a focus on quality, scalability, and security • Support the definition and execution of technical requirements, ensuring the technological evolution of products • Collaborate with technology and business teams to develop new solutions • Design and evolve scalable, sustainable, and business-oriented solutions for both back-end and front-end • Actively participate in the design and review of technical solutions • Work in a challenging and innovative environment, continually seeking best practices • Collaborate with multidisciplinary teams (UX/UI, QA, DevOps, and PO) to deliver integrated and aligned outcomes

• Design, develop, and operate scalable backend services and microservices using modern Python (3.11+). • Build high-performance, well-documented RESTful and/or async APIs (FastAPI / Flask), with attention to latency, throughput, and reliability. • Write clean, typed, reusable, and testable code, backed by automated tests (pytest) and meaningful coverage. • Design systems for high availability, horizontal scalability, and low latency; reason about failure modes, backpressure, and graceful degradation. • Integrate and serve AI/ML capabilities — model/LLM API integration, retrieval pipelines (RAG), vector search, and inference endpoints — in collaboration with Data Science. • Integrate relational, NoSQL, caching, and vector databases, plus cloud data warehouses (Snowflake) and cloud-based storage. • Instrument services for observability (structured logging, metrics, tracing) and own production troubleshooting and performance optimization. • Implement security best practices: authentication, authorization, secrets management, and data protection. • Participate in architecture discussions, design reviews, and code reviews; help define and uphold engineering standards. • Mentor junior engineers and contribute to a strong engineering culture. • Work with DevOps / Platform teams on CI/CD pipelines, infrastructure-as-code, and deployment automation.

• Develop high-quality Go (and eBPF) code for the Tetragon project • Extend Tetragon capabilities to mitigate security vulnerabilities • Enhance Tetragon to better understand and control the execution flow of native (e.g., written in C/C++) or runtime-based (Java, Python, Go, etc.) applications • Enhance Tetragon capabilities to filter malicious network packets that can trigger vulnerabilities in applications/systems • Enhance Tetragon, and potentially the kernel and the eBPF sub-system, to mitigate against kernel-level vulnerabilities • Design and optimize systems to deploy and manage Tetragon across large fleets, in K8s or other environments (VMs) • Architect infrastructure that converts raw event data into intelligence streams with minimal performance overhead • Partner across teams to align requirements, define integration points, and deliver production-ready solutions • Contribute to open-source projects and represent Cisco Isovalent in community discussions • Participate in architecture reviews, code reviews, and documentation