> Markdown version of [/jobs/ext/4215300-workforce-compute-ops-sre-senior-infrastructure-engineer](https://www.wearedevelopers.com/jobs/ext/4215300-workforce-compute-ops-sre-senior-infrastructure-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Workforce Compute Ops SRE Senior Infrastructure Engineer - **Company:** Wells Fargo - **Location:** Woodbridge Township, NJ, United States - **Experience:** Expert - **Salary:** $87,000 - $168,000 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Data Analysis, Cloud Computing Security, Software Debugging, Monitoring of Systems, Python (Programming Language), Key Management, Reliability Engineering, Prometheus, Software Engineering, Data Processing, Large Language Models, Grafana, Prompt Engineering, Generative AI, Agentic-AI, Kubernetes, Infrastructure Automation Frameworks, No-code Tools, Data Analytics, Low-code, Api Design, Splunk - **Published:** October 28, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=eb6c87ecd086f309 ## About the Role * 4+ 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 * 2+ years of experience developing software, automation, or data processing solutions using Python * 2+ years of experience with observability and monitoring technologies such as Splunk, Grafana, Prometheus, Elastic, or similar tools Desired Qualifications: * Prior experience with Wells Fargo technology systems * Strong knowledge of Site Reliability Engineering principles and practices, including observability, service level indicators (SLIs), service level objectives (SLOs), error budgets, incident management, problem management, and operational resilience * Experience developing Generative AI or Agentic AI solutions * Knowledge of large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), AI-assisted workflows, and API-based AI integrations * Experience with workflow automation and low-code/no-code platforms * Experience using operational telemetry and data analytics to identify trends, anomalies, and opportunities for proactive remediation * Experience with observability and monitoring platforms such as Splunk, Grafana, Prometheus, Elastic, or similar technologies * Experience with containers, Kubernetes, and Infrastructure as Code practices * Strong problem-solving, communication, and collaboration skills ## Description Wells Fargo is seeking a Senior Site Reliability Engineer to provide technical leadership, mentorship, and guidance to a team responsible for the stability, reliability, availability, performance, and continuous improvement of enterprise workplace technology platforms. In this role, you will promote Site Reliability Engineering (SRE) standards and best practices across observability, service level indicators (SLIs), service level objectives (SLOs), error budgets, incident and problem management, automation, and operational resilience. You will leverage telemetry and data-driven insights to identify risks, reduce incident frequency and recurrence, and drive continuous reliability improvements. You will also help improve the stability of workplace technology platforms through intelligent automation, Agentic AI capabilities, and low-code/no-code solutions. This includes providing technical leadership for AI-assisted incident triage, root cause analysis, workflow automation, proactive remediation, and self-healing capabilities to improve operational efficiency and the end-user experience. In this role, you will: * Lead or participate in high level technical concepts spanning technology and business * Develop specifications for complex infrastructure systems, design and test solutions * Contribute to the testing of business, application and technical infrastructure requirements * Drive solutions to reduce recovery * Review and analyze solutions for cloud security, secrets management and key rotations * Design, code, test, debug and document programs using Agile development practices * Design complex system upgrades * Resolve troublesome trends as they develop * Develop a long range plan designed to resolve problems and prevent them from recurring * Direct the daily risk and control flow of operations, focusing on policies, procedures and work standards to ensure success * Collaborate and consult with peers, colleagues and managers to resolve issues and achieve goals