Lead Engineer

6 months ago

Bengaluru, India VISA Full time

Job Description And Responsibilities

Ready to make a global impact by industrializing AI?

Visa AI as a Service (AIaS) operationalizes the delivery of AI and decision intelligence to ensure their ongoing business values. Built with composable AI capabilities, privacy-enhancing computation, and cloud native platforms, AIaS powers and automates industrialization of data, models, and applications. Combined with strong governance, AIaS optimizes the performance, scalability, interpretability and reliability of AI models and services. If you want to be in the exciting payment and AI space, learn fast, and make big impacts, Visa AI as a Service is an ideal place for you

This position is for a Lead Data Engineer with solid platform engineering experience who will focus on creating new capabilities for AI as a Service while maturing our platforms and development processes including tools, automation and developer experience. In this position, you are first a passionate and talented developer who can work in a dynamic environment. Your strong technical skills, leadership, problem-solving abilities, coding, testing and debugging skills is just a start. You must be willing to go beyond the routine, challenge yourself and be prepared to do a bit of everything.

You will be an integral part of the engineering team, often investigating new requirements, designing, debating, refactoring, implementing, and documenting continuously, in a continuous effort to provide better solutions to your consumers. You must be a self-organized individual should be flexible and willing to switch tasks based on business needs.

If this sounds exciting, we want to chat and tell you more about our work culture and environment and see if this will be a good fit for both of us.

This position will be based in Bangalore, India.

Essential Functions

Design, build, and maintain efficient, reusable, and reliable codebases for our AI/ML platforms and applications. Lead the Platform Engineering teams to ensure high reliability and availability of the services. Collaborate with data scientists, ML engineers, and other stakeholders for robust, scalable, and optimized AI/ML solutions. Establish, advocate, and enforce best practices in security, infrastructure management, and service reliability.. Drive incident management process and support a blameless post-mortems culture. Drive technical standards and best practices, and continuously improve AI Platform’s engineered capabilities. Help to coordinate the technical implementation among different teams, platform instances and deployments and ensure system performance, security, scalability, and availability. Coaching and mentoring junior team members with design, code and implementation

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office on designated days of a week with a general guidepost of being in the office 50% of the time.

Qualifications

Basic Qualifications
• 10+ years of relevant work experience with a Bachelor’s Degree or at least 7 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 4 years of work experience with a PhD, OR 13+ years of relevant work experience.

Preferred Qualifications
• 12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD
• 14 or more years of relevant work experience with a Bachelor’s Degree or 12 or more relevant years of experience with an Advanced Degree.
• Strong development experience in one or more of Golang, Java, Scala, Python, Rust and C/C++
• Experience in big data and other database systems such as MySQL, Redis, Elastic etc.
• Sound knowledge of Real Time Event Driven systems based on technologies like Flink, Kafka, Spark Streaming or similar.
• Well versed with development tools such as Git, Maven, SBT, Jenkins, Sonarqube, Checkmarx etc. and experience in driving overall development / R&D experience of the engineering teams
• Strong understanding of CI/CD pipelines and automated deployment models and best practices such as IaC
• Strong experience in bare-metal, Kubernetes/docker, public Cloud (AWS/GCP/Azure) based deployments
• Strong experience in platform and application observability design and implementation
• Proven experience in managing large-scale systems, including aspects like security, reliability, availability and self healing
• Demonstrated ability to lead and navigate through ambiguity, educate and influence stakeholders
• Strong interpersonal and effective communication skills both written and verbal
• Experience in payments domain and prior experience in large scale ML/AI Model Engineering is a definite plus.

Additional Information

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

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