Sr. DevOps Engineer - Zelle

At Early Warning, we’ve powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle®, Paze℠, and so much more. As a trusted name in payments, we partner with thousands of institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses.

Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to allow for a more collaborative working environment.

Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire. This position is ineligible for employment Visa sponsorship.

Overall Purpose

This position designs, develops, tests and maintains infrastructure as code, CICD patterns, Configuration Management and containerized product applications, providing technical leadership and hands-on support for internal systems.

Essential Functions

• Design, develop, document, test and debug new and existing Configuration management patterns and infrastructure as code.
• Design, create and maintain comprehensive policies and technical documentation of best practices for all implemented system configurations ensuring efficient planning and execution.
• Perform requirements analysis and design a model for Infrastructure and application flow.
• Conduct design meetings and analyzes user needs to determine technical requirements.
• Write technical specifications (based on conceptual design and business requirements).
• Identify and evaluate new technologies for implementation.  Recommend and implement changes to existing hardware and operating system infrastructure including patches, users, file systems and kernel parameters. Seek out and implement new technologies to continually simplify the environment while improving security and performance.
• Analyze results, failures and bugs to determine the causes of errors and tune the automation pipeline to fix the problems to have desired outcome.
• Diagnose and resolve hardware related server problems (failed disks, network cards, CPU, memory, etc.) and act as escalation point to troubleshoot hardware and operating system problems and suggest possible performance tuning.
• Consult with end user to prototype, refine, test, and debug programs to meet needs.
• Proactively monitors health of environment and act on fixing any issues and improves the performance of environments.
• Coaching and mentoring staff on team policies, procedures, use cases and best patterns.
• Support and maintain products and add new features.
• Participate in and follow change management processes for change implementation.
• Support the company’s commitment to risk management and protecting the integrity and confidentiality of systems and data

For Kubernetes Focus Only:

• Design/Implement container orchestration platform in a hybrid cloud environment.
• Ensure that container orchestration platform is regularly maintained and released to production without downtime.

For Cloud Focus Only:

• Lead infrastructure-as-code projects, designing APIs and building tools to be used by engineering teams for reliable and repeatable cloud deployments
• Implement abstractions to simplify the complexities of cloud providers (AWS), open-source technologies (Kubernetes), and internal EWS infrastructure
• Obsess about the usability of the systems you build, allowing engineers to have an intuitive and predictable experience working with infrastructure at scale
• Troubleshooting complex infrastructure problems, often spanning multiple layers of the stack and requires working with multiple teams
• Experience designing cloud infrastructure for robustness, security, and observability
• Expertise in infrastructure-as-code tools such as Terraform, Ansible, and continuous deployment pipelines
• Expertise in AWS foundations including compute, networking, storage, observability and security. Experience in automating AWS services using Terraform and Ansible. Experience in highly scalable distributed datacenter or cloud computer systems (AWS, Azure, VM)
• Strong knowledge of AWS services (EC2, IAM, ELB, Route53, S3, Lambda, Cloud Formation, DynamoDB)
• Experience architecting Kubernetes based systems
• Container orchestration - Kubernetes, TKGi, EKS, ECS
• Proficient with using and debugging networks, DNS, HTTP, TLS, load-balancing, build systems, Linux, and Docker
• Experience in b…