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Sr. Manager (11+ years, Tech Leader, Java, GenAI)

Visa
Bengaluru, IND
Full-time
Senior
Onsite
Discovered 1 weeks ago
awsazuredatadogdockergcpgrafana

Full Job Posting

Qualifications

  • Preferred Qualifications:
  • 12 or more years of relevant work experience with a Bachelor's Degree or 10 or more years of relevant experience with an Advanced Degree, or 7 or more years of experience with a PhD.
  • Proven experience leading and growing engineering teams — hiring, coaching, performance management, and driving retention.
  • Track record of delivering a product area predictably, with metrics for on-time delivery, quality, and operational health.
  • Hands-on coding experience in one or more modern programming languages (e.g., Java, Python, C#, Node.js), with the depth to review code and engage in technical discussions.
  • Expertise with container and cloud technologies (e.g., Docker, Kubernetes, AWS, Azure, or GCP).
  • Experience with observability stacks (e.g., Prometheus, Grafana, ELK/OpenSearch, Datadog, or Splunk).
  • Experience championing or driving adoption of GenAI/LLM technologies within an engineering team.
  • Experience building and guiding teams that build microservices using HTTP, REST, JSON, and XML.
  • Experience guiding system design and architecture decisions for a product or platform area.
  • Experience managing incidents, production support, and operational excellence practices.
  • Experience partnering with product, QA, DevOps, and Agile/Scrum teams in a distributed, global engineering organization.
  • Strong verbal, written, and presentation skills, with the ability to communicate technical and business trade-offs to diverse stakeholders.
  • Payment industry experience is highly desirable.
  • The Skills You Bring:
  • Energy and Experience: A growth mindset that is curious and passionate about technology, and enjoys leading teams on challenging, global-scale projects.
  • People-First Leadership: A genuine investment in developing engineers, with a track record of promotions, mentoring, and healthy team retention.
  • Technical Credibility: Comfortable enough with the technology to review designs and code, and to earn the trust of senior engineers.
  • Learner: A drive to stay current on emerging technologies such as GenAI, Kubernetes, Docker, and modern cloud-native patterns.
  • Partnership: Experience collaborating with Product, Test, DevOps, and Agile/Scrum teams to deliver outcomes, not just output.
  • Execution Discipline: Ability to manage multiple competing priorities and deliver predictably in a fast-paced environment.
  • 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.

Preferred Qualifications

  • 12 or more years of relevant work experience with a Bachelor's Degree or 10 or more years of relevant experience with an Advanced Degree, or 7 or more years of experience with a PhD.
  • Proven experience leading and growing engineering teams — hiring, coaching, performance management, and driving retention.
  • Track record of delivering a product area predictably, with metrics for on-time delivery, quality, and operational health.
  • Hands-on coding experience in one or more modern programming languages (e.g., Java, Python, C#, Node.js), with the depth to review code and engage in technical discussions.
  • Expertise with container and cloud technologies (e.g., Docker, Kubernetes, AWS, Azure, or GCP).
  • Experience with observability stacks (e.g., Prometheus, Grafana, ELK/OpenSearch, Datadog, or Splunk).
  • Experience championing or driving adoption of GenAI/LLM technologies within an engineering team.
  • Experience building and guiding teams that build microservices using HTTP, REST, JSON, and XML.
  • Experience guiding system design and architecture decisions for a product or platform area.
  • Experience managing incidents, production support, and operational excellence practices.
  • Experience partnering with product, QA, DevOps, and Agile/Scrum teams in a distributed, global engineering organization.
  • Strong verbal, written, and presentation skills, with the ability to communicate technical and business trade-offs to diverse stakeholders.
  • Payment industry experience is highly desirable.
  • Energy and Experience: A growth mindset that is curious and passionate about technology, and enjoys leading teams on challenging, global-scale projects.
  • People-First Leadership: A genuine investment in developing engineers, with a track record of promotions, mentoring, and healthy team retention.
  • Technical Credibility: Comfortable enough with the technology to review designs and code, and to earn the trust of senior engineers.
  • Learner: A drive to stay current on emerging technologies such as GenAI, Kubernetes, Docker, and modern cloud-native patterns.
  • Partnership: Experience collaborating with Product, Test, DevOps, and Agile/Scrum teams to deliver outcomes, not just output.
  • Execution Discipline: Ability to manage multiple competing priorities and deliver predictably in a fast-paced environment.
  • 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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