Senior Software Engineer -Security Background - Go, Python, Java, Microservices Kubernetes, AWS, GenAi (8 - 12 Years)
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Lieu :Bangalore, India
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Centre d'intérêtIngénieur - logiciels
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Type de posteExpérimenté
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Intérêt pour la technologieIntelligence Artificielle
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ID de poste1432665
Who We Are
The 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 Are
We are seeking a hard-working Senior Software Engineer to join our AI team in building an AI Firewall solution. This role involves creating robust, efficient, and secure software solutions to safeguard Generative AI applications and models from various threats such as data poisoning, model stealing, prompt injection, jailbreaks and adversarial attacks. As a key member of our team, you will be responsible for implementing security measures for AI systems focusing on Firewall solutions by working closely with the data scientists to integrate security AI models, collaborate with other engineers and engineering teams to integrate AI Firewall solution into existing and new Cisco Security products. Your work will be instrumental in delivering a powerful and effective security solution to our customers.
What You Will Do
- AI Firewall Integration: Collaborate with multi-functional teams to integrate AI Firewall solution into existing Cisco Security products.
- AI Security: Security attitude to understand vulnerabilities of LLM and Generative AI apps to design and develop detection algorithms and models to mitigate threats.
- Interface Design: Design and build effective interfaces for AI Firewall ensuring smooth communication and data exchange while adhering to security and performance requirements.
- Instrumentation: Implement the right types of instrumentation to supervise and measure the performance, reliability, and security of AI Firewall.
- Fixing: Debug and fix integration issues, identifying bottlenecks or errors and implementing solutions to optimize service interactions.
- Scale and Performance Optimization: Work on scale and performance tuning and optimization of AI Firewall components to ensure efficient, responsive operation for handling large volumes of requests.
- Collaboration: Collaborate closely with AI engineers, data scientists, UI/UX and security experts for building a robust AI Firewall product and solution.
Basic Qualifications
- BTech/ BS degree with 7+ years of experience (or) MS degree with 5+ years of experience as a software development engineer
- Proven experience as a Backend Engineer with expertise in integrating and scaling complex services.
- Strong understanding of detection engineering, security systems and operations and ability to build security solutions.
- Solid foundations in data structures and algorithms.
- Proficiency in programming languages such as Python, Java, or Go.
- Experience with instrumentation and monitoring tools for measuring service performance.
Preferred Qualifications
- Bachelor's degree in Computer Science, Software Engineering, or a related field; a Master's degree is a plus.
- Strong understanding of AI service operations, including Generative AI, and the ability to design and build interfaces between them.
- Excellent problem-solving skills and the ability to troubleshoot complex technical issues.
- Knowledge of security best practices and compliance standards.
- Effective teamwork and communication skills to collaborate with cross-functional teams.
Why Cisco?
#WeAreCisco. We are all unique, but collectively we bring our talents to work as a team, to develop innovative technology and power a more inclusive, digital future for everyone. How do we do it? Well, for starters – with people like you!
Nearly every internet connection around the world touches Cisco. We’re the Internet’s optimists. Our technology makes sure the data traveling at light speed across connections does so securely, yet it’s not what we make but what we make happen which marks us out. We’re helping those who work in the health service to connect with patients and each other; schools, colleges, and universities to teach in even the most challenging of times. We’re helping businesses of all shapes and sizes to connect with their employees and customers in new ways, providing people with access to the digital skills they need and connecting the most remote parts of the world – whether through 5G, or otherwise.
We tackle whatever challenges come our way. We have each other’s backs, we recognize our accomplishments, and we grow together. We celebrate and support one another – from big and small things in life to big career moments. And giving back is in our DNA (we get 10 days off each year to do just that).
We know that powering an inclusive future starts with us. Because without diversity and a dedication to equality, there is no moving forward. Our 30 Inclusive Communities, that bring people together around commonalities or passions, are leading the way. Together we’re committed to learning, listening, caring for our communities, whilst supporting the most vulnerable with a collective effort to make this world a better place either with technology, or through our actions.
So, you have colorful hair? Don’t care. Tattoos? Show off your ink. Like polka dots? That’s cool. Pop culture geek? Many of us are. Passion for technology and world changing? Be you, with us! #WeAreCisco
Lorsqu’elle est disponible, la fourchette salariale affichée pour ce poste reflète l’échelle d’embauche prévue pour les salaires des nouveaux embauchés aux États-Unis et/ou Canada. Pour les postes non liés à la vente, les fourchettes d’embauche reflètent uniquement le salaire de base; les employés sont également admissibles à des primes annuelles. Les fourchettes d’embauche pour les postes de vente comprennent la rémunération de base et la rémunération incitative. La rémunération individuelle est déterminée par le lieu d’embauche du candidat et par d’autres facteurs, notamment les compétences, l’expérience et les études, certifications ou formations pertinentes. Les candidats peuvent ne pas être admissibles à la fourchette complète des salaires en fonction de leur lieu d’embauche aux États-Unis ou Canada. Le recruteur peut vous donner plus d'informations sur la rémunération du poste dans votre lieu au cours du processus de recrutement.
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