Software Engineer Sr. Consultant level DevOps

About the Organization:

Our Technology Organization is a global community of problem solvers and innovators shaping the future of digital platforms and intelligent systems. We operate highly scalable secure and resilient cloud ecosystems that support missioncritical services used by millions of users and partners worldwide.

As part of our organization you will work on large-scale distributed systems cloud-native platforms and AI-enabled services solving complex challenges in reliability automation security and developer productivity. Your work will directly influence how modern cloud and GenAI-powered platforms are designed deployed and operated at enterprise scale.

The Opportunity

We are seeking a seasoned DevOps Leader who is strategic hands-on and forward-thinking with deep expertise in cloud technologies platform engineering and Generative AI enablement.

In this role you will lead the evolution of our DevOps and platform engineering capabilitiesdriving cloud modernization CI/CD excellence operational resilience and AI-assisted automation. You will partner closely with Engineering Product Security and Data teams to enable faster safer and smarter delivery of software at scale.

This is a high-impact leadership role for someone who thrives at the intersection of technology strategy people leadership and engineering execution.

The Work Itself:

• Define and execute the DevOps and Platform Engineering strategy to support cloud-native microservices and AI-driven workloads at enterprise scale.
• Design and govern highly available secure and scalable cloud architectures that meet stringent reliability performance and compliance requirements.
• Lead the adoption of Infrastructure as Code (IaC) CI/CD pipelines and automated release management to accelerate delivery while improving quality and stability.
• Champion Site Reliability Engineering (SRE) principles including observability error budgets incident management and continuous reliability improvement.
• Enable Generative AI and ML workloads by building and operating platforms that support model training deployment inference and experimentation.
• Drive the integration of GenAI capabilities into DevOps workflows (e.g. AI-assisted monitoring incident response pipeline optimization and developer productivity).
• Partner cross-functionally with Engineering Security Product and Data teams to ensure DevSecOps best practices are embedded across the software lifecycle.
• Establish and evolve platform standards reference architectures and reusable frameworks to improve consistency and reduce operational friction.
• Lead mentor and grow high-performing DevOps and platform engineering teams fostering a culture of ownership learning and innovation.
• Influence organizational change by promoting cloud-first automation-first and AI-enabled operating models.

Essential Functions:

• Provides strategic technical leadership for cloud infrastructure DevOps tooling CI/CD platforms and operational practices.
• Establishes and governs DevOps SRE and cloud standards ensuring alignment with security compliance and business objectives.
• Leads discussions with engineering and product leaders to define platform roadmaps and recommend scalable cost-effective solutions.
• Evaluates selects and drives adoption of cloud services DevOps tools and GenAI platforms aligned to organizational needs.
• Designs and oversees end-to-end CI/CD pipelines including build test security scanning deployment and rollback strategies.
• Implements observability and reliability frameworks ensuring proactive detection rapid response and continuous improvement.
• Champions technology innovation including proofs of concept (PoCs) for emerging tools and Generative AI use cases.
• Guides teams in building self-service platforms reusable modules and automation frameworks that improve developer experience.
• Ensures operational excellence through capacity planning cost optimization (FinOps) incident postmortems and resilience testing.
• Keeps abreast of emerging cloud DevOps and AI trends and translates them into actionable platform improvements.

Why This Role Matters:

This role is pivotal in shaping how our organization builds deploys and operates software in the cloud and AI era. You will directly influence platform scalability developer productivity operational resilience and our ability to leverage Generative AI responsibly and effectively across the enterprise.

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

Visa is not offering relocation assistance for this role.

Qualifications :

Basic Qualifications:
8 years of relevant work experience with a Bachelors Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters MBA JD MD) or 2 years of work experience with a PhD OR 11 years of relevant work experience.

Preferred Qualifications:
9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters MBA JD MD) or 3 or more years of experience with a PhD
Strong background in CI/CD-driven DevOps practices supporting n-tier and microservices-based architectures across development staging and production environments.
Hands-on expertise with major cloud platforms such as AWS Azure or Google Cloud including compute storage networking IAM and managed PaaS services.
Advanced experience with Infrastructure as Code (IaC) using tools such as Terraform CloudFormation ARM or Pulumi for automated repeatable deployments.
Proven proficiency in containerization and orchestration technologies including Docker Kubernetes Helm and Kubernetes Operators with experience operating clusters at scale.
Strong experience implementing and maintaining CI/CD pipelines using tools such as Jenkins GitHub Actions GitLab CI/CD Azure DevOps or similar integrated with artifact repositories and security scanning.
Solid understanding of application runtime environments including experience supporting Java/J2EE Spring Boot or other modern frameworks in cloud and containerized ecosystems.
Expertise in API-based and event-driven architectures including RESTful services JSON/XML and messaging/streaming platforms such as Kafka with experience in installation configuration monitoring and troubleshooting.
Experience with observability and reliability engineering including logging monitoring alerting and tracing using tools such as Prometheus Grafana ELK/EFK CloudWatch or Azure Monitor.
Strong knowledge of databases and data platforms including RDBMS (Oracle SQL Server PostgreSQL) and NoSQL technologies (MongoDB DynamoDB Cassandra).
Working knowledge of security best practices in cloud and DevOps including IAM secrets management encryption vulnerability scanning and DevSecOps pipelines.
Experience supporting AI/ML or GenAI workloads including deploying and operating model-serving pipelines MLOps platforms or LLM-based applications in cloud environments.
Proficiency with GenAI technologies including experience integrating LLMs AI APIs vector databases or AI-enabled automation into DevOps workflows.
Strong foundation in cloud computing concepts with a deep understanding of IaaS PaaS SaaS and public private and hybrid cloud deployment models.
Demonstrated ability to deliver highly reliable scalable and secure systems with a strong commitment to quality automation and operational excellence.
Ability to manage multiple priorities and deliver across concurrent initiatives in a fast-paced evolving environment.
Experience leading DevOps initiatives mentoring engineers or owning platform-level components is highly desirable.
Excellent communication collaboration and stakeholder engagement skills including the ability to present technical concepts to both technical and non-technical audiences.
Proven experience working in Agile/Scrum environments actively participating in sprint planning reviews retrospectives and continuous improvement efforts.

The Skills You Bring:
Leadership & Vision: Proven experience leading DevOps SRE or Platform Engineering teams in complex enterprise environments.
Cloud Expertise: Deep hands-on and architectural experience with AWS Azure or Google Cloud including IaaS PaaS and managed services.
DevOps Mastery: Strong background in CI/CD Infrastructure as Code containerization and orchestration (Docker Kubernetes Helm).
AI & GenAI Enablement: Experience supporting AI/ML or Generative AI workloads including model deployment inference platforms or AI APIs.
Builder Mindset: Demonstrated success building scalable platforms automation frameworks and developer enablement tools.
Security-First Thinking: Strong understanding of DevSecOps IAM secrets management compliance and secure cloud architectures.
Change Agent: Comfortable challenging the status quo and driving cultural transformation toward automation and cloud-native practices.
Learner: Continuous curiosity to explore emerging technologies especially in GenAI platform engineering and cloud optimization.
Collaboration: Strong partnership skills working effectively with Product Engineering Security Data and Agile/Scrum teams.
Communication: Excellent ability to articulate complex technical concepts to executive technical and non-technical stakeholders.

Additional Information :

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5-10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting.  The position will require the incumbent to sit and stand at a desk communicate in person and by telephone frequently operate standard office equipment such as telephones and computers.

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.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for this position is 152200.00 to 243700.00 USD per year which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge skills experience and addition this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical Dental Vision 401 (k) FSA/HSA Life Insurance Paid Time Off and Wellness Program.

Remote Work :

No

Employment Type :

Full-time