Lead Infrastructure Engineer
Wells Fargo is hiring a Lead Infrastructure Engineer in Hyderabad, India. Level rates it ; you can apply on Wells Fargo.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include Splunk, Appdynamics and Dynatrace.
- Level classifies it as a lead role.
- Level lists 1,600+ other open roles at Wells Fargo.
- The role was posted within the past two weeks.
AI in this role
Lead infrastructure engineer to design and scale enterprise observability solutions, including AI-driven operational intelligence and anomaly detection.
Wells Fargo is seeking a highly skilled Lead Engineer to join the Enterprise Observability Engineering organization. This role will lead the design, development, and engineering of enterprise observability solutions supporting application performance monitoring, distributed tracing, telemetry collection, and AI-enabled operational intelligence.
The successful candidate will provide technical leadership for cloud-native observability platforms including Splunk Observability Cloud (SPLOC), AppDynamics, Dynatrace, OpenTelemetry, and related telemetry services. This role requires strong software engineering expertise combined with deep knowledge of observability technologies, cloud-native architectures, and enterprise-scale monitoring solutions.
In This Role, You Will
- Lead the design, development, and implementation of enterprise observability and distributed tracing solutions.
- Design and develop cloud-native applications, APIs, and services using Java, Spring Boot, and modern microservices architectures.
- Build scalable telemetry platforms and services supporting enterprise monitoring, tracing, and performance analytics.
- Design and implement OpenTelemetry instrumentation standards, frameworks, and telemetry collection architectures.
- Develop and maintain tracing pipelines, collectors, gateways, and associated observability infrastructure.
- Deploy and support applications and services on Kubernetes and OpenShift environments.
- Develop automated solutions for instrumentation, telemetry onboarding, platform upgrades, compliance validation, and operational monitoring.
- Build reusable software components that enable enterprise adoption of observability standards.
- Drive integration of observability platforms with enterprise automation, incident management, and operational tooling.
- Evaluate and implement AI-driven observability capabilities including anomaly detection, intelligent troubleshooting, and root cause analysis.
- Influence enterprise observability strategy, standards, and best practices.
- Mentor engineers and provide technical leadership across multiple initiatives and teams.
Required Qualifications:
5+ years of Technology Infrastructure Engineering and Solutions experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications
- 5+ years of Software Engineering, Infrastructure Engineering, Platform Engineering, SRE, or related experience.
- 5+ years of hands-on experience developing enterprise applications using Java and Spring Boot.
- 3+ years of hands-on experience with enterprise observability platforms including Splunk Observability Cloud (SignalFx/SPLOC), AppDynamics, or Dynatrace.
- Strong experience designing and developing microservices and RESTful APIs.
- Deep understanding of OpenTelemetry, distributed tracing, telemetry pipelines, and observability concepts.
- Experience deploying and supporting applications on Kubernetes and containerized platforms.
- Experience with MongoDB or similar NoSQL databases including data modeling and performance optimization.
- Experience with Kafka and event-driven architectures.
- Strong understanding of enterprise monitoring, application performance management, and reliability engineering practices.
- Proven ability to lead complex technical initiatives and influence engineering decisions across organizations.
- Experience implementing OpenTelemetry solutions at enterprise scale.
- Experience designing and operating large-scale observability platforms.
- Knowledge of GenAI, LLMs, AI Agents, AIOps, and intelligent operational workflows.
- Experience integrating observability platforms with ServiceNow, automation frameworks, and incident management solutions.
- Experience with OpenShift and cloud-native platform engineering.
- Experience supporting large-scale modernization, migration, or cloud transformation initiatives.
- Knowledge of CI/CD pipelines, infrastructure as code, and DevSecOps practices.
- Industry certifications in Splunk, Dynatrace, AppDynamics, Kubernetes, OpenTelemetry, AWS, Azure, or Google Cloud.
Posting End Date:
5 Nov 2026*Job posting may come down early due to volume of applicants.
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
c. Please be prepared to provide accurate information and supporting documentation in connection with any lawful employment and education verification conducted by Wells Fargo.
How we rate this
Lead Infrastructure Engineer at Wells Fargo rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where observability was part of your work. What did you do?
- Tell me about a project where distributed tracing was part of your work. What did you do?
- Tell me about a project where infrastructure engineering was part of your work. What did you do?
- Tell me about a project where cloud native architecture was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Observability, Distributed Tracing, Infrastructure Engineering, and Cloud Native Architecture. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Get your CV reviewed before you apply
Send your CV and the role you want next. Your review arrives by email within 3 days.
Get new software engineering jobs by email
One email a week, each job rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free.
Similar roles
Software Engineering roles that involve little AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step