

Key job responsibilities
• Translate ambiguous problems into well defined mathematical problems• Prototype, test, and implement state-of-the-art algorithms for antenna pointing calibration, anomaly detection, predictive failure models, and ground terminal performance evaluation• Provide actionable recommendations for system design/definition by defining, running, and summarizing physically-accurate simulations of ground terminal functionality• Collaborate closely with engineers to deploy performant, scalable, and maintainable applications in the cloudExport Control Requirement:
A day in the life• Design, development, deployment, and support of a Tier-1 Monitoring and Remediation System (MARS) needed to maintain high availability of hundreds of ground terminals deployed around the world• Ground systems integration/test (I&T) automation• Ground terminal configuration, provisioning, and acceptance automation• Systems analysis• Algorithm development (pointing/tracking/calibration/monitoring)• Software interface definition for supplier-provided hardware and development of software test automation
- Master's degree or above in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- 4+ years of deep learning, computer vision, human robotic interaction, algorithms implementation experience
- Experience in statistics methodology, applications to business problems or big data
- Experience with statistical methods (e.g., A/B Testing, Regression)
- Experience in new hardware product development
- Knowledge of one or more ML Frameworks (e.g., PyTorch, TensorFlow) and ML methods including NLP models (BERT, GPT-2/3), computer vision-based models (object detection, image recognition), and text-based models (Seq2Seq, Topic modeling)
- Experience with cloud computing technologies
- Knowledge of data structures, algorithm design, statistics, and system design
- Experience in calibration and anomaly detection
- Expert science/data science development experience in Python
משרות נוספות שיכולות לעניין אותך

Why This Role* Deep technical expertise (still hands-on)
* Scalable mechanism design (programs, frameworks, enablement)
* Startup empathy (credible in front of developers and co-founders)
* AI/data native perspective (helping startups turn data into their moat)This role offers the chance to shape how AWS engages startups at scale — while working at the frontier of cloud + data + AI innovation.
Key job responsibilities
Technical Leadership & Mechanism Building
* Design and implement scalable programs, reusable assets, and automation tools that amplify the impact of the Startup SA org.
* Create reference architectures, IaC templates, and enablement content to accelerate solution delivery across startups.
* Develop systematic approaches to capture, codify, and share technical insights from the field back into the org.
* Mentor SAs and drive technical upskilling programs that elevate the entire team’s capabilities.Domain Expertise & Hands-on Impact
Principal SAs for Startups should have depth and expertise in one of the following technical domains, but the technical curiosity to become proficient in all:
* ML/AI Infrastructure:
* Architect training and inference systems at scale (distributed training, LoRA/QLoRA, quantization, GPU/TPU optimization).
* Design end-to-end ML pipelines and MLOps workflows (data prep, labeling, model registry, deployment).
* Build and optimize model serving architectures and inference systems for cost and latency.
* Cloud Native & Kubernetes:
* Lead design and ops excellence for Kubernetes/EKS, service mesh, microservices, and serverless-first architectures.
* Ensure security, compliance, and observability in containerized workloads.
* DevOps & Reliability:
* Drive GitOps-first workflows, CI/CD at scale, IaC (Terraform/CDK), and automated testing frameworks.
* Apply SRE best practices: monitoring, incident management, resilience, and scaling patterns.
* Data Strategy & Foundations:
* Advise startups on proprietary data strategy as a moat: collection, quality, labeling, governance.
* Architect data pipelines (ETL/ELT, streaming, orchestration) and integrate with modern analytics platforms (Snowflake, Redshift, BigQuery, Databricks).
* Guide adoption of feature stores, vector databases, and lakehouse patterns to enable ML/RAG use cases.
* Ensure compliance and governance across sensitive workloads (GDPR, HIPAA, SOC2).
* Maintain deep understanding of emerging technical trends in GenAI, cloud, and data ecosystems.
* Translate insights into actionable guidance for startups and scalable mechanisms for the org.
* Provide forward-looking perspectives on technology adoption, evolution, and competitive advantage.Scaling & Developer Enablement
* Build repeatable solutions and reference architectures addressing common startup pain points.
* Publish blogs, whitepapers, open-source repos, and technical presentations that extend reach beyond direct engagements.
* Act as a “co-founder whisperer” — translating complex technical trade-offs into pragmatic startup-stage guidance.About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred 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.
Why AWSWork/Life BalanceInclusive Team CultureMentorship and 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.
- 12+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Deep technical expertise in multiple domains including ML/AI systems, cloud-native architectures (Kubernetes, microservices, serverless), DevOps/SRE practices, and data engineering/strategy, with advanced proficiency in languages like Python, Go, TypeScript, and Java.
- Demonstrated track record of scaling technical impact through building enablement programs, mentoring teams, and establishing best practices that transform individual expertise into organizational capabilities.
- Strong technical leadership credentials including creating technical content, contributing to open-source projects, delivering thought leadership, and effectively communicating with audiences from engineers to C-suite executives.
- Comprehensive understanding of modern AI/ML ecosystems (LangChain, Hugging Face, vLLM, Ray) combined with expertise in cloud-native security, compliance, and observability frameworks to build production-grade systems.
- Experience building, deploying, and operating systems and infra at hyperscale.
- A history of contributions to open-source or developer communities.
- A strong portfolio of technical publications, talks, or thought leadership.
- The credibility to pair-program with a founder one day, then brief a C-suite on trends the next.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
משרות נוספות שיכולות לעניין אותך

Job responsibilities
Assist in the deployment and configuration of Genetec Security Center on Windows servers, ensuring successful implementation and integration of security systems.
Provide first-level technical support to end-users, troubleshoot issues related to Genetec Security Center, and offer recommendations on best practices.
Recognize and eliminate toil through systems engineering or automation, and implement observability patterns to improve service level indicators, objectives monitoring, and alerting solutions.
Collaborate with senior IT staff and participate in training sessions to improve knowledge and skills related to Genetec Security Center and other IT systems.
Monitor system performance and availability of core Genetec Security Center services, ensuring optimal transparency and analysis.
Document and maintain accurate records of system configurations, changes, and support requests, ensuring clear communication and organization.
Package Genetec Security Center software for client and server installs, and provide on-call support as needed to address urgent issues.
Required qualifications, capabilities, and skills
2+ years’ experience working with Genetec Security Center, including configuring federations, and experience with installing and upgrading Genetec Security Center software while managing Windows patching.
Familiarity with observability practices such as white and black box monitoring, service level objective alerting, and telemetry collection using tools like Grafana, Dynatrace, Prometheus, Datadog, and Splunk.
Possession of Genetec Security Center Omnicast certification and a good understanding of network protocols and security principles.
Experience working with third-party applications deployed on Windows Server environments and the ability to work with SQL Server, including running queries.
Strong problem-solving skills and attention to detail, ensuring effective troubleshooting and resolution of issues.
Excellent communication and interpersonal skills, facilitating collaboration and effective interaction with team members and stakeholders.
Ability to work independently and as part of a team, demonstrating flexibility and adaptability in various work environments.
Willingness to learn and adapt to new technologies, staying current with industry trends and advancements.
Preferred qualifications, capabilities, and skills
משרות נוספות שיכולות לעניין אותך

With highly supportive leadership and programs to foster growth and career mobility, your skills and capabilities can increase and be fine-tuned to make you more agile and versatile in reaching your career potential.
As an Operations Analyst- Loan Sales in Home Lending, you will be responsible for allocating and delivering mortgaged back securities (MBS), ensuring compliance with investor and regulatory requirements and support the line of business by performing complex operational loan sales and analytical tasks with a focus on investor related loan edit problem solving. You will drive end to end loan quality, recommend operational reengineering opportunity, and lead automation initiatives to benefit streamlined salability processes.
Job responsibilities
Required qualifications, capabilities, and skills
Preferred qualifications, capabilities, and skills
משרות נוספות שיכולות לעניין אותך

As a Tech Risk & Controls Lead in Corporate Sector's Employee platforms team, you will be responsible for identifying, and mitigating compliance and operational risks in line with the firm's standards. You will also provide subject matter expertise and technical guidance to technology-aligned process owners, ensuring that implemented controls are operating effectively and in compliance with regulatory, legal, and industry standards. By partnering with various stakeholders, including Product Owners, Business Control Managers, and Regulators, you will contribute to the reporting of a comprehensive view of technology risk posture and its impact on the business. Your advanced knowledge of risk management principles, practices, and theories will enable you to drive innovative solutions and effectively manage a diverse team in a dynamic and evolving risk landscape.
Job responsibilities
Required qualifications, capabilities, and skills
Preferred qualifications, capabilities, and skills
משרות נוספות שיכולות לעניין אותך

As a Full-time Analyst in the Internal Audit Program, you will start with comprehensive training to introduce you to our firm, our practices and our culture. After training, you will join one of our lines of business (Asset & Wealth Management, Commercial Banking, Consumer & Community Banking, or Corporate & Investment Bank), Corporate Function or Technology Internal Audit teams.
Job Responsibilities
Required qualifications, capabilities, and skills
Preferred qualifications, capabilities, and skills
Locations you can join:
To be considered for the Internal Audit Analyst Program, you must complete the following steps:
משרות נוספות שיכולות לעניין אותך

As a Lead Security Engineer at JPMorgan Chase within the Cybersecurity technology & Controls, you are an integral part of team that works to deliver software solutions that satisfy pre-defined functional and user requirements with the added dimension of preventing misuse, circumvention, and malicious behavior.As a core technical contributor, you are responsible for carrying out critical technology solutions with tamper-proof, audit defensible methods across multiple technical areas within various business functions.
Job responsibilities
Required qualifications, capabilities, and skills
Preferred qualifications, capabilities, and skills
משרות נוספות שיכולות לעניין אותך

Key job responsibilities
• Translate ambiguous problems into well defined mathematical problems• Prototype, test, and implement state-of-the-art algorithms for antenna pointing calibration, anomaly detection, predictive failure models, and ground terminal performance evaluation• Provide actionable recommendations for system design/definition by defining, running, and summarizing physically-accurate simulations of ground terminal functionality• Collaborate closely with engineers to deploy performant, scalable, and maintainable applications in the cloudExport Control Requirement:
A day in the life• Design, development, deployment, and support of a Tier-1 Monitoring and Remediation System (MARS) needed to maintain high availability of hundreds of ground terminals deployed around the world• Ground systems integration/test (I&T) automation• Ground terminal configuration, provisioning, and acceptance automation• Systems analysis• Algorithm development (pointing/tracking/calibration/monitoring)• Software interface definition for supplier-provided hardware and development of software test automation
- Master's degree or above in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- 4+ years of deep learning, computer vision, human robotic interaction, algorithms implementation experience
- Experience in statistics methodology, applications to business problems or big data
- Experience with statistical methods (e.g., A/B Testing, Regression)
- Experience in new hardware product development
- Knowledge of one or more ML Frameworks (e.g., PyTorch, TensorFlow) and ML methods including NLP models (BERT, GPT-2/3), computer vision-based models (object detection, image recognition), and text-based models (Seq2Seq, Topic modeling)
- Experience with cloud computing technologies
- Knowledge of data structures, algorithm design, statistics, and system design
- Experience in calibration and anomaly detection
- Expert science/data science development experience in Python
משרות נוספות שיכולות לעניין אותך