Meet the Team Cisco ThousandEyes is a Digital Experience Assurance platform that empowers organizations to deliver flawless digital experiences across every network - even the ones they don't own. Powered by AI and an unmatched set of cloud, internet and enterprise network telemetry data, ThousandEyes enables IT teams to proactively detect, diagnose, and remediate issues - before they impact end- user experiences. ThousandEyes is deeply integrated across the entire Cisco technology portfolio and beyond, helping customers deploy at scale while also delivering AI-powered assurance insights within Cisco's leading Networking, Security, Collaboration, and Observability portfolios. Connected Devices helps assure the quality of home broadband connections for millions of people around the world. You might already be one of them! The Platform Team builds and operates all the web and server-side components for Connected Devices, helping customers access, control, and get value from their data. We're a small but well-rounded team and our work has lots of angles: scaling our architecture for the next level of growth, building new features to help our customers get even more value and joining up with the rest of ThousandEyes to push the whole platform to the next level. Cisco is moving fast on AI, both in the product and in our tooling and there's lots of opportunity to push this forward in Connected Devices too. Your Impact As a backend Technical Leader in Connected Devices Platform you will: - Create code across our backend estate touching high volume streaming, responsive backend-for-frontend APIs, scalable domain services, transactional and analytical databases and more. - Ensure the resilience and robustness of our platform to keep our customers having a great experience. - Design technical solutions for new product offerings and evolutions of our existing architecture. - Evolve our development and operational processes so we can keep getting faster, more reliable and with even higher quality. - Help your teammates evolve their skills and practice through practical mentoring and knowledge sharing. Minimum Qualifications: - Expert-level understanding of Java or Kotlin. - Wide experience working distributed systems especially using Apache Kafka. - Strong architecture and design skills including data and API modelling. - On-the-job experience with agentic AI development including skills and harness development. Preferred Qualifications - Bachelor's degree in Computer Science or similar. - Knowledge of Kotlin and Golang. - Strong understanding of Kubernetes and modern cloud deployment. - Exposure to a variety of datastore technologies covering transactional and analytical, relational and document-based. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you.

• Desenvolver implementações, alterações e correções no Sistema Domínio Contábil utilizando a linguagem PowerBuilder e banco de dados Sybase SQL Anywhere • Avaliar o impacto das decisões e direcionar o time buscando minimizar problemas a longo prazo • Participar ativamente do processo de revisão de código • Impulsionar a inovação e simplificar processos com foco em melhoria contínua

• Colaborar en un proyecto del sector bancario en modalidad full-remote. • Desarrollo de aplicaciones Spark utilizando Java, Python o Scala. • Trabajar en equipo y colaborar en el control de versiones con Git.

• own our engineering platform end to end • partner closely with data science and machine learning to build and scale the real time decision engine • lead a team of 10+ engineers based in the Bay Area • report directly to the CEO • measure success by how much faster, more reliable, and automated processes become • replace manual, paper based review processes with software by ingesting messy public records, documents, and outside data • apply proprietary risk models built on 100,000+ policies • ship a production system already approved by Fannie Mae and live in real mortgage transactions