

The role manages an extensive data ecosystem including: Data warehouse and Data lake environments, multiple AWS services like Athena, S3, Glue, RedShift, Neptune, reporting tools like Q, Tableau and Grafana.- Earn Trust: Serves as mentor and guide, fostering technical excellence environments
- Learn and Be Curious: Stays at the forefront of BI technologies, particularly supporting System Intrinsic AI initiatives- Ownership: Develops comprehensive technical roadmaps and ensures operational readiness
- Dive Deep & Invent and Simplify: Establishes robust data quality frameworks and standardizes processes for efficiency- Bias for Action: Maintains operational excellence through efficient resource planning and project delivery
- Frugality: Optimizes operations and identifies automation opportunities- Technical expertise in managing complex data platforms- Strategic thinking to drive data platform evolution
- Ability to translate complex business requirements into actionable technical solutions
- 7+ years of business intelligence and analytics experience
- 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience
- Experience with SQL
- Experience with ETL
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software
- 4+ years of working with very large data warehousing environment experience
- 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience
משרות נוספות שיכולות לעניין אותך

Elevate Logistics Technology and Transform Global Supply Chain EfficiencyKey job responsibilities- Drive strategic technical decisions and ensure seamless system integrations across complex logistics platforms
- Develop and implement engineering best practices that promote code quality, scalability, and innovation
- Proactively identify and mitigate technical and organizational risks to maintain project momentumA day in the life1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. RRSP
- 3+ years of engineering team management experience
- 7+ years of engineering experience
- 8+ years of leading the definition and development of multi tier web services 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 partnering with product or program management teams
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
משרות נוספות שיכולות לעניין אותך

Key job responsibilities- Create and annotate high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Write grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
- Utilize Python and SQL to automate and optimize data processing workflows
- Interpret technical documentation to implement solutions accurately
- Dive deep into issues and implement solutions independently
- Identify and report tooling bugs and suggest improvements
- Make sound judgments and logical decisions when faced with ambiguous or incomplete information
- Bachelor’s degree in a relevant field or equivalent professional experience.
- Advanced English-level language proficiency (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).
- Proven experience working with written language data, including experience with annotation, and other forms of data markup.
- Familiarity with critical concepts such as Python, scripting language, data structures etc.
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy.
- Experience managing stakeholder relationships across departments.
- Advanced-level proficiency in multiple languages (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).
משרות נוספות שיכולות לעניין אותך

Key job responsibilities
Our kernel engineers collaborate across compiler, runtime, framework, and hardware teams to optimize machine learning workloads for our global customer base. Working at the intersection of software, hardware, and machine learning systems, you'll bring expertise in low-level optimization, system architecture, and ML model acceleration. In this role, you will:* Design and implement high-performance compute kernels for ML operations, leveraging the Neuron architecture and programming models
* Analyze and optimize kernel-level performance across multiple generations of Neuron hardware
* Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks
* Implement compiler optimizations such as fusion, sharding, tiling, and scheduling
* Work directly with customers to enable and optimize their ML models on AWS accelerators
* Collaborate across teams to develop innovative kernel optimization techniques
A day in the life
As you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also:Participate in design discussions, code review, and communicate with internal and external stakeholders.Work in a startup-like development environment, where you’re always working on the most important stuff.About the team
#1. Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, 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.
- 3+ years of non-internship professional software development experience
- 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems 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
- Expertise in accelerator architectures for ML or HPC such as GPUs, CPUs, FPGAs, or custom architectures
- Experience with GPU kernel optimization and GPGPU computing such as CUDA, NKI, Triton, OpenCL, SYCL, or ROCm
- Demonstrated experience with NVIDIA PTX and/or AMD GPU ISA
- Experience developing high performance libraries for HPC applications
- Proficiency in low-level performance optimization for GPUs
- Experience with LLVM/MLIR backend development for GPUs
- Knowledge of ML frameworks (PyTorch, TensorFlow) and their GPU backends
- Experience with parallel programming and optimization techniques
- Understanding of GPU memory hierarchies and optimization strategies
משרות נוספות שיכולות לעניין אותך

Key job responsibilities
Your responsibilities include:* Technical leadership including architecture and design discussions for engineering problems and technical deep dives to ensure resolution and root causes of complex issues.
* Work with your team, your peers, senior management, and senior engineers to implement best practices in software development and operational processes.
* Develop and grow the members of your team, as well as mentoring others.
* Keep up to date with new technologies used in the field and by our customers, to stay current in our rapidly changing environment
- 3+ years of engineering team management experience
- 7+ years of working directly within engineering teams experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 8+ years of leading the definition and development of multi tier web services 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 partnering with product or program management teams
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
משרות נוספות שיכולות לעניין אותך

As a successful candidate you will have the opportunity to participate in risk assessments of new products and services, as well of our existing processes and systems. You will identify opportunities to improve our processes and controls to mitigate risk and improve operational performance. You will also contribute to the development of risk mechanisms to help the business identify and evaluate internal/external risks, and help define the technology, processes, and control improvements required to mitigate them. You will work with business, operations, and technology teams to help them manage risks to their business, while influencing the broader risk culture across Amazon’s Perfect Order Experience organization. You will also engage with stakeholders across the company, including other specialized fraud, risk, compliance, and legal functions. This position supports a global organization and is an exciting opportunity to be a part of a dynamic and high paced environment. You must be comfortable with balancing strategic thinking with tactical, detailed execution while working independently, sorting through ambiguously defined problems, identifying and facing big challenges and adjusting to sudden and frequent change.Key job responsibilities
Perform risk assessments for new products/features and existing processes/systems to surface risks across all risk categories (i.e. operational, strategic, reputational, etc.), engaging SMEs as needed.Support risk reporting, as well as oversight and escalation mechanisms, to ensure key risks are addressed prior to launch through mitigation or risk acceptance at appropriate levels.
Perform post-launch reviews to capture new risk scenarios; conduct deep dives on repeated errors to eliminate defects
Contribute to management reviews regarding project progress and roadblocks.
Surface risk insights and best practices for risk management and mitigation.
Contribute to internal risk management tools, resources, training, and mechanisms that can scale with the organization.
Independently manage projects as assigned.Ability to manage multiple competing priorities.
Ability to prioritize in an ambiguous environment.
Adept at being a change agent by bringing solutions/ideas to tackle any challenge.
- Bachelor's degree or equivalent
- 4+ years of defining program requirements and leveraging data and metrics to drive improvements
- Experience handling confidential information.
- Exceptional written communication skills able to write, clearly and succinctly.
- Exceptional ownership and bias for action willing to move quickly and decisively to resolve an incident.
- Strong critical thinker with the vision to work both tactically and strategically.
- Proven analytical thinking with a natural tendency to use data in decision-making and prioritization.
- Excellent cross departmental/function collaboration skills.
- Experience handling confidential/strategic projects.
- 3+ years of compliance program management, legal, governance, audit, risk/loss prevention, or equivalent experience
- Bachelors Degree or Professional risk certification, or similar risk or credentials
- Experience with SQL and Excel
- Knowledge about retail and social media ecosystemsPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
משרות נוספות שיכולות לעניין אותך

Key job responsibilitiesYou must be able to:
- Create, maintain and disseminate project information to stakeholders.
- 7+ years of working directly with engineering teams experience
- 5+ years of technical product or program management experience
- 3+ years of software development experience
- 5+ years of technical program management working directly with software engineering teams experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
- Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
- Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership
משרות נוספות שיכולות לעניין אותך

The role manages an extensive data ecosystem including: Data warehouse and Data lake environments, multiple AWS services like Athena, S3, Glue, RedShift, Neptune, reporting tools like Q, Tableau and Grafana.- Earn Trust: Serves as mentor and guide, fostering technical excellence environments
- Learn and Be Curious: Stays at the forefront of BI technologies, particularly supporting System Intrinsic AI initiatives- Ownership: Develops comprehensive technical roadmaps and ensures operational readiness
- Dive Deep & Invent and Simplify: Establishes robust data quality frameworks and standardizes processes for efficiency- Bias for Action: Maintains operational excellence through efficient resource planning and project delivery
- Frugality: Optimizes operations and identifies automation opportunities- Technical expertise in managing complex data platforms- Strategic thinking to drive data platform evolution
- Ability to translate complex business requirements into actionable technical solutions
- 7+ years of business intelligence and analytics experience
- 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience
- Experience with SQL
- Experience with ETL
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software
- 4+ years of working with very large data warehousing environment experience
- 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience
משרות נוספות שיכולות לעניין אותך