ADCI MAA
Operations, IT, Support Engineering, no business category
SoftwareApplicationEngineerII
Neural analysis suggests this role is
optimal for Mid candidates.
“Software Application Engineer II at ADCI MAA. Skills: Support engineering, Automation development. Act as subject matter expert. Lead large multi-team projects”
Industry & Context.
Problem solver; Troubleshoot; Debug; Root cause analysis
On call tasks
What They're Looking For.
Must Have
2+ years software development, 2+ years technical support, Bachelor's degree engineering, Experience troubleshooting technical systems, Experience scripting modern languages, Experience in Unix
Nice to Have
AWS experience, Networks experience, Operating systems experience
What You'll Do.
Act as subject matter expert
Lead large multi-team projects
Resolve complex support issues
Understand business impact
Drive team efficiency
Develop documentation
Prevent support issues
Participate in design reviews
Mitigate support risks
Work with development teams
Improve change management
Deep dive automation issues
Resolve issues impacting fleet performance
Resolve issues impacting fleet availability
Develop automation tools
Assist with systems administration
Root cause platform issues
Design complex scripts
Develop complex scripts
Design high performing scripts
Develop high performing scripts
Design complex applications
Develop complex applications
Design high performing applications
Develop high performing applications
Solve performance errors
Use Linux performance tools
Share ideas with leaders
Improve support within company
Take role in strategic direction
Use programming skills
Own production system software deployments
Own ongoing software upgrades
Resolve computer-identified alarms
Perform software deployments
Perform software migrations
Automate operational tasks
Troubleshoot technical systems
Debug technical systems
Evaluate technical systems
Resolve technical systems
Develop tools for operations
Develop automation for operations
Achieve human free operations
Leverage system architecture
Develop tools at large scale
How You'll Work.
Team & Collaboration
Cross-team planning; Development teams; QA teams; Amazon leaders
Communication Scope
Written communication; Oral communication
Full Job Description
Imagine being part of an agile team where your ideas have the potential to reach millions. At Amazon Mesa, we work on highly advanced, consumer-facing products where every team member plays a critical role in shaping the future. You'll enjoy the innovative atmosphere of a start-up while leveraging the resources and scale of a Fortune 500 company. At Amazon Mesa, our mission is to build a personalized, curated, and seamless streaming experience. We help customers discover emerging artists while continuing to enjoy their favorite established Mesaians. Our work spans large-scale distributed systems across mobile apps, the web player, and streaming-forward engagement platforms. Mesa products are available globally, and our innovation continues to enrich the lives of customers around the world. We are looking for passionate team members across a variety of functions—including software engineering, marketing, design, and operations—to help us launch impactful new initiatives. Come innovate with us as we continue to make history! As a Support Engineer, you are a SME on your team and act as a subject matter expert for one or more services. You are viewed as a support leader throughout the larger organization and are regularly engaged to work on cross-team planning. You lead large multi-team projects and resolve the most complex support issues. You understand the business impact of support decisions. You drive the team to improve operational efficiency for all services through the identification and development of SLAs, metrics, monitors, procedures, tools, and documentation. You think proactively and work to prevent support issues before they are realized. You participate in design reviews to identify and mitigate support risks. You work closely with development and QA teams to improve the change management life-cycle. You deep dive into automation issues to identify problems and work with engineering teams to resolve issues impacting fleet performance and availability. You
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