Jobright.ai
Mid-Level Systems Development Engineer – AWS AI & ML
Jobright.ai, Cupertino, California, United States, 95014
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Mid-Level Systems Development Engineer – AWS AI & ML
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Jobright.ai 2 days ago Be among the first 25 applicants Join to apply for the
Mid-Level Systems Development Engineer – AWS AI & ML
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Jobright.ai Amazon Web Services (AWS) is a leading cloud computing platform that began in 2006. The role involves building next-generation AWS platforms, focusing on the design, delivery, and operation of AWS cloud offerings for AI/ML and HPC workloads. Responsibilities: • You will be a technical leader solving complex architectural problems which may not defined before hand. • You will be owning the teams systems and work proactively in identifying deficiencies, writing tactical code to solve issues before they impact customers, and working with your team to scale the solution. • You will decompose big difficult server system testability, reliability and diagnosis problems into straightforward tasks, components or features that you will lead to deliver yourself and through others in parallel. • You will use combination of hardware, software, system designs, x86 architecture, processes, diagnosis and operations knowledge. • Working with a variety of job roles (SDEs, SDETs, Hardware Engineers, TPMs, Managers, Principals) and groups (AWS Hardware Engineering, EC2, other AWS services) through server conception, test, launch, and operations. • Driving high quality and reliability into future/new designs for AWS Accelerated server solutions for AWS Cloud. Qualifications: Required: • 3+ years of programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby experience • 4+ years of non-internship professional software development experience • 2+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience • 4+ years of systems development in an IT or data center environment experience • 4+ years of deploying and operating in a Linux/Unix environment experience • 2+ years of systems design, software development, operations, automation, and process improvement experience • Experience leading the design, build and deployment of complex and performant (reliable and scalable) software solutions in production Preferred: • 1+ years of development/programming/scripting language (Python/Java/Bash/Perl) experience • Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations • Experience taking a leading role in building complex software or computing infrastructure that has been successfully delivered to customers Company: Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. Founded in 2002, the company is headquartered in Seattle, Washington, USA, with a team of 10001+ employees. The company is currently Late Stage. Amazon Web Services (AWS) has a track record of offering H1B sponsorships. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
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Mid-Level Systems Development Engineer – AWS AI & ML
role at
Jobright.ai 2 days ago Be among the first 25 applicants Join to apply for the
Mid-Level Systems Development Engineer – AWS AI & ML
role at
Jobright.ai Amazon Web Services (AWS) is a leading cloud computing platform that began in 2006. The role involves building next-generation AWS platforms, focusing on the design, delivery, and operation of AWS cloud offerings for AI/ML and HPC workloads. Responsibilities: • You will be a technical leader solving complex architectural problems which may not defined before hand. • You will be owning the teams systems and work proactively in identifying deficiencies, writing tactical code to solve issues before they impact customers, and working with your team to scale the solution. • You will decompose big difficult server system testability, reliability and diagnosis problems into straightforward tasks, components or features that you will lead to deliver yourself and through others in parallel. • You will use combination of hardware, software, system designs, x86 architecture, processes, diagnosis and operations knowledge. • Working with a variety of job roles (SDEs, SDETs, Hardware Engineers, TPMs, Managers, Principals) and groups (AWS Hardware Engineering, EC2, other AWS services) through server conception, test, launch, and operations. • Driving high quality and reliability into future/new designs for AWS Accelerated server solutions for AWS Cloud. Qualifications: Required: • 3+ years of programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby experience • 4+ years of non-internship professional software development experience • 2+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience • 4+ years of systems development in an IT or data center environment experience • 4+ years of deploying and operating in a Linux/Unix environment experience • 2+ years of systems design, software development, operations, automation, and process improvement experience • Experience leading the design, build and deployment of complex and performant (reliable and scalable) software solutions in production Preferred: • 1+ years of development/programming/scripting language (Python/Java/Bash/Perl) experience • Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations • Experience taking a leading role in building complex software or computing infrastructure that has been successfully delivered to customers Company: Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. Founded in 2002, the company is headquartered in Seattle, Washington, USA, with a team of 10001+ employees. The company is currently Late Stage. Amazon Web Services (AWS) has a track record of offering H1B sponsorships. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified about new System Development Engineer jobs in
Cupertino, CA . Mountain View, CA $145,000.00-$170,000.00 3 days ago Mountain View, CA $138,225.00-$207,575.00 4 days ago Software Engineer, AI Platform - New Grad
Mountain View, CA $145,000.00-$170,000.00 3 days ago Software Engineer (L4), Content & Business Products
San Jose, CA $100,500.00-$173,250.00 1 week ago Palo Alto, CA $140,000.00-$185,000.00 2 weeks ago Mountain View, CA $130,000.00-$176,000.00 2 weeks ago San Jose, CA $113,400.00-$206,300.00 1 week ago Software Engineer (L5) - Open Connect Platform
San Jose, CA $113,400.00-$206,300.00 1 week ago San Jose, CA $100,500.00-$173,250.00 2 weeks ago Software Engineer, Google Store, Front End
Mountain View, CA $141,000.00-$202,000.00 2 weeks ago Frontend Software Engineer - University Graduate 2025
San Mateo, CA $120,000.00-$165,000.00 2 days ago San Jose, CA $113,400.00-$206,300.00 1 week ago San Jose, CA $113,400.00-$206,300.00 1 week ago Palo Alto, CA $122,800.00-$153,500.00 2 weeks ago eCommerce Full Stack Developer (React / Shopify) - On Site
San Jose, CA $93,200.00-$170,600.00 4 days ago Menlo Park, CA $157,000.00-$230,000.00 2 weeks ago Palo Alto, CA $140,000.00-$265,000.00 2 weeks ago San Jose, CA $113,400.00-$206,300.00 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr