Cisco Systems, Inc.
Senior Software Engineer AI Platforms
Cisco Systems, Inc., San Jose, California, United States, 95199
Who We AreThe Cisco Security AI team delivers AI products and platform for all Cisco secure products and portfolios so businesses around the world defend against threats and safeguard the most vital aspects of your business with security resilience. We are passionate about making businesses secure and simplify security with zero compromise using AI and Machine Learning.Who You AreWe are looking for a highly skilled Senior Software Engineer to assume a leadership role in developing and maintaining APIs for our AI platform. As a Senior Software Engineer, you will collaborate closely with disparate teams, providing technical expertise, and leading initiatives to enhance our AI platform's capabilities. Your deep understanding of Kubernetes architecture, cloud infrastructure, and your passion for AI and machine learning will be instrumental in guiding our team to success.What You Will Do
Technical Leadership:
Provide technical leadership by guiding and mentoring a team of Software Engineers, driving technical excellence in API development and cloud deployment.API Development:
Design, develop, and maintain APIs that expose AI capabilities to various teams, ensuring scalability, reliability, and ease of use.AI Integration:
Collaborate with data scientists and AI engineers to seamlessly integrate AI models and algorithms into the platform, making them accessible through the APIs.Kubernetes Expertise:
Leverage your experience with Kubernetes to architect and optimize deployment and orchestration of AI services in containerized environments.Cloud Infrastructure Deployment:
Lead the deployment and management of AI services on cloud platforms such as AWS, Google Cloud, and Azure for scalability, security, and cost optimization.Performance Optimization:
Identify and resolve performance bottlenecks in the AI platform, optimizing response times and resource utilization.Monitoring and Logging:
Implement robust monitoring and logging solutions to track the performance and health of deployed AI services, enabling issue resolution.Security Compliance:
Ensure that AI services and APIs meet security and compliance standards, collaborating closely with security teams to implement necessary measures.Documentation:
Build clear and comprehensive documentation for APIs, deployment processes enabling teams to use the platform effectively.Basic Qualifications
5+ years' experience as a Senior Software Engineer with a strong background in building SaaS services at scale with API first design and demonstrated technical leadership skills.5+ years' experience writing code in Python, Java, Go and/or C/C++.BA / BS degree with 4+ years of experience (or) MS degree with 2+ years of experience as a software development engineer.Preferred Qualifications
Familiarity with AI and machine learning concepts and the ability to collaborate effectively with data scientists and AI engineers.Experience with Docker platform delivery tool or similar.Experience developing distributed systems and implementing them using Kafka, Redis or similar.Experience developing cloud infrastructure services such as AWS, Google Cloud and/or Azure.Experience using Kubernetes architecture.Knowledge of security and compliance standards.Why Cisco SecureJoin an enterprise security leader with a start-up culture, committed to driving innovation and giving you the opportunity to make an impact. We #InnovateToWin and we know we're better together, that's why we're dedicated to inclusivity, collaboration, and diversity in everything we do.
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Technical Leadership:
Provide technical leadership by guiding and mentoring a team of Software Engineers, driving technical excellence in API development and cloud deployment.API Development:
Design, develop, and maintain APIs that expose AI capabilities to various teams, ensuring scalability, reliability, and ease of use.AI Integration:
Collaborate with data scientists and AI engineers to seamlessly integrate AI models and algorithms into the platform, making them accessible through the APIs.Kubernetes Expertise:
Leverage your experience with Kubernetes to architect and optimize deployment and orchestration of AI services in containerized environments.Cloud Infrastructure Deployment:
Lead the deployment and management of AI services on cloud platforms such as AWS, Google Cloud, and Azure for scalability, security, and cost optimization.Performance Optimization:
Identify and resolve performance bottlenecks in the AI platform, optimizing response times and resource utilization.Monitoring and Logging:
Implement robust monitoring and logging solutions to track the performance and health of deployed AI services, enabling issue resolution.Security Compliance:
Ensure that AI services and APIs meet security and compliance standards, collaborating closely with security teams to implement necessary measures.Documentation:
Build clear and comprehensive documentation for APIs, deployment processes enabling teams to use the platform effectively.Basic Qualifications
5+ years' experience as a Senior Software Engineer with a strong background in building SaaS services at scale with API first design and demonstrated technical leadership skills.5+ years' experience writing code in Python, Java, Go and/or C/C++.BA / BS degree with 4+ years of experience (or) MS degree with 2+ years of experience as a software development engineer.Preferred Qualifications
Familiarity with AI and machine learning concepts and the ability to collaborate effectively with data scientists and AI engineers.Experience with Docker platform delivery tool or similar.Experience developing distributed systems and implementing them using Kafka, Redis or similar.Experience developing cloud infrastructure services such as AWS, Google Cloud and/or Azure.Experience using Kubernetes architecture.Knowledge of security and compliance standards.Why Cisco SecureJoin an enterprise security leader with a start-up culture, committed to driving innovation and giving you the opportunity to make an impact. We #InnovateToWin and we know we're better together, that's why we're dedicated to inclusivity, collaboration, and diversity in everything we do.
#J-18808-Ljbffr