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Key job responsibilities
Design, develop, evaluate and deploy, innovative and highly scalable ML models
Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenanceLeading projects and mentoring other scientists, engineers in the use of ML techniques
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience applying theoretical models in an applied environment
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We're seeking an experienced Senior Software Development Manager to lead the onboarding team that is critical for developing capabilities that support 1.5 B documents per month across 100+ partner team on the document generation platform. In this role, you will lead the definition, and shepherd the development, of new features as well as important optimizations to the service. This role is a good fit for someone who thrives in a dynamic environment, is technical, who can work with multiple tech stakeholders to drive consensus towards long term tech product strategy.Key job responsibilities
• Lead and scale multiple engineering teams across complex, interdependent systems
• Drive innovation through AI, identifying and solving operational problems that unlock value to the customer
• Partner with senior leadership across Product, UX, and Engineering to align on strategic priorities and resource allocation
• Establish engineering excellence standards, operational metrics, and continuous improvement practices across teams
• Present technical strategy and progress to VP-level stakeholders with clarity and executive presenceA day in the life
Review and provide strategic guidance on major architectural decisions and system design proposals
· Mentor engineering managers and senior engineers on technical leadership and career development
· Communicate engineering progress and strategic recommendations to senior leadership
· Connect with tech partners to identify process/operational/tooling gap to identify opportunities to self-serve
· Partner with peers to negotiate resource allocation and coordinate large-scale initiatives
- 10+ years of engineering experience
- 5+ years of engineering team management experience
- 10+ years of planning, designing, developing and delivering consumer software experience
- Experience partnering with product or program management teams
- Experience managing multiple concurrent programs, projects and development teams in an Agile environment

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Key job responsibilities
• Lead complex, high-visibility technical programs that power the world's most comprehensive digital video studios technology organization
• Drive architectural decisions and technical strategy for next-generation studios businesses from Sales, Distribution and Studios Marketing Technology
• Partner with engineering teams to build scalable solutions that handle massive amounts of global content data
• Collaborate with MGM Studios, Prime Video leadership, and cross-functional teams to deliver innovative entertainment experiences
• Mentor and develop other engineers while raising the bar for operational and engineering excellenceImpact You'll Own:
• Shape the technical foundation that brings award-winning content to viewers worldwide
• Design and implement systems that seamlessly handle complex content relationships across multiple dimensions (regions, languages, licensing, etc.)
• Drive operational excellence initiatives that scale across Amazon's global entertainment ecosystem • Lead programs that integrate MGM's iconic content library with Amazon's streaming technologyWhat You Bring:
• Deep technical expertise in large-scale distributed systems and architecture
• Proven track record leading complex technical programs with multiple stakeholders
• High Bar in driving operational and engineering excellence, strategic thinking and tactical execution
• Strong communication skills and ability to influence senior leadership and other engineering teams across broader organization.
• Experience scaling teams and mentoring other engineers to force multiple.
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) experience
- Experience programming with at least one software programming language
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

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Key job responsibilities
1. Demonstrate flexibility to work within different queues, with increased complexity or specialization based on current business needs
2. Perform quality audits for BAP team and handle escalations
3. Provide support as and when required for overtime, deep dives, mentoring new batches, escalations and cross training
4. Ensure compliance with procedures and SLAs while achieving quality and performance metrics (Meet or exceed all Goals). Work on the Core queues and willing to switch between different functions as per business requirement.
5. Work on projects that design/improve tools or processes by testing and/or develops recommendations for management
6. Communicate effectively both in verbal and written form on all investigative matters8. Support new hires or focus group investigators in the team to help them meet require performance standards
- Master's degree, or PMP

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Key job responsibilities
Advise senior manager and directors on technical direction for the organizationsBreak down complex software project into parallel work that can be performed by you and other SDEs and then reassembled successfully into a cohesive launchParticipate in the hiring process as well as mentor others - improving their skills, their knowledge of your software, and their ability to get things done.
- 10+ years of non-internship professional software development experience
- 10+ years of programming with at least one software programming language experience
- 8+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- 10+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Knowledge of computer science fundamentals in object-oriented design

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Financial Services Solutions Architects are viewed as experts in their domain, and support customer engagements when those engagements require deep industry expertise, and a keen understanding of architectural and technical requirements. The Solutions Architects will influence the definition of the technical strategy for their industries by:
• Identifying patterns
• Defining technical trends that can affect the industry
• Publishing reference architectures
• Building industry quickstarts and other development kits
• Collecting technical best practices in the industry
Key job responsibilities• With the broader Financial Services team, develop technical elements of the strategic plan for accelerating adoption of AWS across the industry
• You will be responsible for establishing technical credibility in the sales cycle (personally or with the broader technical team) by supporting discussions across our Financial Services customers and partners
• Educate customers of all sizes on the value proposition of AWS within Financial Services, and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud
• Capture and share best-practice knowledge amongst the AWS solutions architect community
• Author or otherwise contribute to AWS customer-facing publications such as whitepapers
• Build deep relationships with senior technical individuals within customers to enable them to be cloud advocates
• Act as a technical liaison between customers, service engineering teams and support
• Serve as a technical domain expert on deploying Financial Services industry workloads and applications on AWS
• Architect solutions leveraging AWS technology, including solution development and potentially demonstrate technical feasibility through mechanisms including proof-of-concepts and/or prototypes
• Travel may be required for this role, up to 25%
About the team
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
- Bachelor's degree in computer science, engineering, mathematics or equivalent
- Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications
- Experience working in Financial Services organizations and implementing solutions in a regulated environment; driving technical and/or organizational change of significant complexity.
- Experience working as an architect, designing and implementing large-scale solutions in the Financial Services industry.
- Solid understanding of virtualization and/or cloud computing technologies.
- Knowledge of distributed systems design and implementation or equivalent
- Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers
- Experience architecting, migrating, transforming or modernizing customer requirements to the cloud
- A strong understanding of AWS or other large-scale cloud services providers, and cloud-based services and delivery modes (Iaas, PaaS, SaaS)
- Deep experience with FSI-related applications, such as core insurance or banking systems, or big data architectures
- The ability to deal with ambiguity and work in a virtual team environment
- AWS certifications

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- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

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Key job responsibilities
Design, develop, evaluate and deploy, innovative and highly scalable ML models
Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenanceLeading projects and mentoring other scientists, engineers in the use of ML techniques
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience applying theoretical models in an applied environment
These jobs might be a good fit