Sr Assoc-Tech Ops Engineering

American Express•Phoenix, AZ

3d•$89,250 - $150,250

About The Position

This role drives the reliability, resiliency, performance, and modernization of critical American Express platforms across distributed environments. It applies expertise in software engineering, runtime engineering, production support, and platform operations to assess and remediate complex availability, performance, and operational issues. The role partners with engineering, product, infrastructure, and operations teams to design, build, automate, and support highly available enterprise platforms. It contributes to modernization initiatives and operational excellence, delivering secure, scalable, and resilient solutions for critical customer and business capabilities. The position focuses on application production support and may involve weekend support when necessary.

Requirements

At least 5 years of distributed experience and knowledge.
Bachelor's degree in Computer Science, Computer Engineering, or comparable experience.
Work experience in software engineering, application support, infrastructure operations, or runtime engineering.
Working understanding of cloud infrastructure, distributed systems, and containerization technologies.
Familiarity with monitoring and logging tools and incident management best practices in production environments.
Solid programming and scripting skills, including hands-on experience automating operational tasks with Python.
Knowledge of scripting languages such as PowerShell and Python for automation.
Experience in technology operations work, including ITIL, SRE, or production support.
Hands-on experience with relational and NoSQL databases such as DB2, Redis, PostgreSQL, or Couchbase.
Experience supporting and optimizing distributed technologies, including Java, Python, SQL, databases, Git, CoPilot, Jenkins, XLR, Jira, AI, ML, Docker, Kubernetes, Kafka, REST API, gRPC, and Grafana.
Employment eligibility to work in the United States; American Express will not pursue visa sponsorship for these positions.

Nice To Haves

Experience supporting critical business applications.
Experience with cloud infrastructure, Linux/Unix, containers, APIs, Java-based services, distributed databases, and modern application platforms.
Knowledge of AWS, GCP, or general cloud fundamentals.
Experience with AWS, Azure, or Google Cloud platforms.
Public Cloud certification.

Responsibilities

Support complex enterprise applications, platforms, and operational tooling across distributed environments.
Design, develop, prototype, code, test, and implement scalable software solutions using Java, Python, SQL, and related frameworks.
Contribute to change management reviews, root cause analysis, and troubleshooting of complex technical issues.
Design and implement automation and engineering practices that improve platform resiliency, operational efficiency, and security.
Apply incident, problem, and change management practices in application production support.
Contribute to runtime systems roadmaps for reliability, scalability, availability, recoverability, and performance.
Establish, monitor, and improve KPIs, SLOs, and operational metrics such as MTTR and MTBF.
Diagnose and resolve production incidents, batch failures, application outages, performance bottlenecks, and infrastructure issues across Mainframe and Distributed platforms.
Apply Site Reliability Engineering principles and operational excellence practices to improve system stability and reduce operational risk.
Support disaster recovery, high availability, workload management, capacity planning, and business continuity initiatives.
Support and optimize enterprise platforms using distributed technologies, including Java, Python, SQL, relational and NoSQL databases, Git, CoPilot, Jenkins, XLR, Jira, AI, ML, Docker, Kubernetes, Kafka, REST API, gRPC, and Grafana.
Implement and support cloud and distributed architectures, modernization initiatives, API enablement, and enterprise integration capabilities.
Develop and support enterprise integration solutions using APIs, MQ, Connect:Direct, event-driven architectures, and batch and real-time data integration patterns.
Use relational and NoSQL databases including DB2, PostgreSQL, Redis, and Couchbase to support business applications.
Automate operational processes, deployments, monitoring, reporting, and remediation using Python, Bash, Ansible, Jenkins, and related technologies.
Collaborate with engineering teams on scalable automation and self-service capabilities for deployment, monitoring, and operational support.
Implement and use monitoring, observability, logging, and analytics solutions such as Splunk, Grafana, Dynatrace, AppDynamics, and ELK.
Analyze operational trends and recommend improvements to platform health and engineering effectiveness.
Contribute to continuous improvement in reliability, performance, security, operational maturity, and customer experience.
Use CI/CD pipelines and DevOps practices with tools such as Git, Jenkins, Maven, DBB, Endevor, and UrbanCode Deploy or equivalent platforms.
Apply enterprise security controls, compliance requirements, audit standards, and access management practices, including RACF, ACF2, Top Secret, and cloud security principles.
Ensure solutions meet non-functional requirements for availability, scalability, performance, security, recoverability, and maintainability.