Staff SW Engineer (Full Stack) - Cyber Threat Analytics and Research

Visas Cybersecurity team provides enterprise-wide risk-based cybersecurity policies practices and solutions to protect Visas systems and data from internal and external threats. To protect Visas assets in this dynamic threat landscape they are deploying new cyber-security tools collaborating across industries and taking a proactive approach to monitoring the cyberspace beyond the Visa network.

Visas Cyber Threat Analytics and Research team (CTAR) team is looking for talented curious and energetic software engineers who embrace solving complex challenges on a global scale.  You will be an integral part of a cross-functional development team inventing designing building critical Cyber Security products that will reach a global a customer base. In this position you are a passionate developer who can work in a dynamic environment and dedicated to deliver production-ready code in short timeframes and willing to go beyond the routine.

By joining our team you will have the opportunity to work in a dynamic and fast-paced environment where your contributions will have a direct impact on our business operations and customer satisfaction. If you are passionate about developing cybersecurity products and eager to drive product success we would love to hear from you

Essential Functions:

• Design develop test deploy and maintain scalable web applications and APIs using both front-end and back-end technologies.

• Lead the design and architectural decisions for new features and applications ensuring best practices in scalability maintainability and security.

• Work closely with product managers UX/UI designers QA and other stakeholders to deliver high-quality software aligned with business requirements.

• Oversee CI/CD pipelines automate deployment processes and ensure smooth delivery of applications to production environments.

• Write and maintain unit integration and end-to-end tests to ensure code quality and reliability.

• Investigate and resolve production issues perform root cause analysis and provide ongoing support for deployed applications.

• Make trade-offs in an environment of often-conflicting objectives e.g. deliver great experience to deadlines with fixed resources. Ruthless prioritization and an ability to focus on key issues.

• Stay up-to-date with the latest full stack development technologies and advocate for their adoption when appropriate.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications :

Basic Qualifications:
5 years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters MBA JD MD) or 0 years of work experience with a PhD OR 8 years of relevant work experience.

Preferred Qualifications:
6 or more years of work experience with a Bachelors Degree (Computer Science) or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters MBA JD MD) or up to 3 years of relevant experience with a PhD.
Expert in developing and managing enterprise grade product backend development in python Java and Spring framework.
Knowledge of and ability to develop front-end code (Angular or React) in support of package and product development. This includes the extension of capabilities of packages and products.
Proven experience in developing scalable and high-performance applications in the cloud (AWS GCP Azure).
Experience with both SQL and NoSQL databases.
Experience with DevOps tools and practices including version control build and deployment practices (CI/CD Docker Kubernetes).
Experience in Agile with Jira for software development and delivery.
Hands-on experience with Linux (preferred) and Windows.
Prior knowledge of Apache big data analytics tools like Kafka Spark HDFS Elastic Search
Strong analytical and problem solving skills.
Effective verbal and written communication skills.
Previous experience with financial services or payments processing domain is preferrable.
Experience in developing and maintaining production grade data pipeline architecture is preferrable.
Machine learning / data science background is preferrable.

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.

Remote Work :

No

Employment Type :

Full-time