7,876 to 7,900 of 8,953 AWS Jobs

data‐centric enterprise environments (Business Intelligence, Data Warehousing, Data Science, or Analytics Engineering). Conceptual and practical familiarity with modern cloud data platforms (Snowflake, AWS) and data pipelines (dbt, ETL/ELT workflows). Active curiosity and comfort leveraging Generative AI tools to streamline administrative and analytical outputs. Expert‐level ...

tenant, role-based or feature-gated permission systems. Experience in education, health, social care or another regulated or sensitive domain. Experience working directly with AWS services. Working with children's data - mandatory This platform holds education, health, safeguarding and other sensitive information about vulnerable young people. Working responsibly with that ...

equity from day 1 at a Y Combinator startup Work alongside a highly competent, top-tier team, including professionals from Y Combinator, ex AWS, and Palantir Enjoy a low-bureaucracy environment, minimal meetings, and an asynchronous communications culture #J-18808-Ljbffr ...

support of secure and resilient IT infrastructure. Manage cloud and on‐premise environments, including servers, storage, networking, and virtualisation. Oversee Microsoft 365, Azure/AWS environments, Active Directory/Entra ID, and endpoint management. Ensure high availability, disaster recovery, backup, and business continuity capabilities. Monitor infrastructure performance, capacity, and reliability. ...

business, the company's solutions secure and protect data on-premises, in the cloud, and at the edge. Backed by NVIDIA, IBM, HPE, Cisco, AWS, Google Cloud, and others, Cohesity is headquartered in Santa Clara, CA, with offices around the globe. We've been named a Leader by multiple analyst ...

roles Strong functional understanding of biofuels, trading or compliance environments Proven experience leading architecture across multiple teams, products or programmes Strong expertise in cloud (AWS), integration and data architecture Track record of defining strategy and long-term roadmaps Strong collaborator engagement skills at senior leadership level Experience establishing and enforcing ...

Information Systems Security Architecture Professional (ISSAP)CESG Certified Cyber Professional (CCP) in Security Architecture or Risk ManagementAdditional cloud security qualifications such as Microsoft Azure, AWS, GoogleExperience across DevSecOps and secure SDLC practices5+ years experience in Cyber SecurityNot a perfect fit? Worried that you don't meet all the desired criteria ...

Forward-Deployed Engineering, or Technical Customer Success at an enterprise software or AI/ML company Strong technical foundation: comfortable with APIs, cloud infrastructure (AWS/GCP/Azure), and enough hands-on coding ability to debug integrations, not just describe them Direct experience with LLMs in production — understanding ...

term improvements. Experience scaling teams and fostering an inclusive culture. A collaborative mindset, working across teams to align technology with business goals. Familiarity with AWS, continuous delivery, and Lambda microservices is beneficial but not required. A supportive leadership approach, focusing on people development, team well-being, and operational excellence. Strong ...

programmes within growing organisations Strong hands‐on knowledge of GDPR, PCI‐DSS, incident response, and resilience planning Experience working within cloud‐first environments, ideally AWS Strong understanding of security within e‐commerce, fintech, or customer‐data‐led businesses Comfortable operating as both a strategic leader and hands‐on practitioner Leadership ...

vision. Proficiency with deep learning frameworks such as TensorFlow/PyTorch. Proficiency with Python and strong software development background. Knowledge and experience with AWS is highly desirable. Experience with MLOps practices, including versioning, deployment and monitoring of models highly desirable. Ability to communicate complex technical concepts clearly to non‐technical ...

patterns, APIs, embeddings, vector stores, prompt handling, and common AI security risks. Experience securing cloud environments and modern development workflows in platforms such as AWS, Azure, or GCP.Familiarity with security risks relevant to AI systems, including prompt injection, data exfiltration, insecure model access, supply chain risks, model poisoning, and sensitive ...

view on how to test and scale themDeep programming background, ideally with Java, combined with hands-on experience building scalable distributed systems on AWS - you write great code and think seriously about architectureTechnical leadership experience - you've been a tech lead, influenced architecture decisions, and helped other engineers grow ...

critical infrastructure sectors: energy/utilities, manufacturing, oil & gas, water/wastewater, transportation Experience with cloud security and securing cloud-connected OT environments (AWS, Azure, GCP) Knowledge of safety systems (SIS) and safety-security integration challenges Prior experience in control systems engineering, automation, or industrial operations Experience with SIEM integration ...

waste What you’ll get to learn (any previous experience would be advantageous) An in-depth understanding and experience working with the cloud/AWS and the opportunities that it brings Solving real world problems and being comfortable working in a complex regulated environment Where and how you'll work ...

strong product focus with a desire to understand the end-to-end impact of your solutions for our end users. Good knowledge of AWS’s AI infrastructure. BenefitsWe’re a scaling start up, and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. ...

apps they click through, built in TypeScript. And you don't stop there. From API and MCP design to infrastructure on Vercel, AWS, Supabase, and BigQuery, plus the agents that work across the stack, you own complete features end to end, including the AI-powered ones built on LLM APIs ...

Need Familiar with a wide range of ICT vendor solutions and products, including Cisco, Juniper, Palo Alto, F5, Nokia, Ribbon, Avaya, Microsoft, AWS, Dell/EMC, HPE, and Blackberry. Hands-on experience with industry-standard architecture approaches and languages. Adept at responding to in-life change requests and bid proposals ...

Data & AI Center of Excellence or Enterprise Architecture group Maintain advanced proficiency across Databricks, Snowflake, and at least one major cloud platform including AWS, Azure, or GCP Demonstrate deep technical mastery in data pipeline architecture, data democratization, security guardrails, and production-grade AI deployments Job responsibilities Core Competencies Business Outcome ...

rely heavily on the following tools and technologies: Go to write our application code (there’s an excellent interactive Go tutorial here ) AWS for most of our production infrastructure and GCP for most of our data infrastructure. Feast for storing our features along a variety of tools to train ...

from SLOs and error budgets to public uptime and status visibility, where little exists today. Strong hands-on experience with a major cloud platform (AWS or Azure). We are platform-agnostic in how we hire: the right mindset matters more than a specific platform, and we will teach ...

that serves many customers from shared infrastructure, and the data‐separation questions that come with it Relevant certifications such as CISSP, CCSP or an AWS security qualification, though we care more about what you can do than what you hold Spent time training and coaching engineers on security Benefits Private ...

lead through influence and technical authority, partnering with platform teams to influence strategy and raise the collective technical bar Solid understanding of cloud infrastructure (AWS/GCP), distributed systems, container orchestration, data engineering (batch pipeline, feature store, Kafka) People-first culture — Be part of a team that values authenticity, champions ...

business, the company’s solutions secure and protect data on-premises, in the cloud, and at the edge. Backed by NVIDIA, IBM, HPE, Cisco, AWS, Google Cloud, and others, Cohesity is headquartered in Santa Clara, CA, with offices around the globe. We’ve been named a Leader by multiple analyst ...

optimization for reducing false positivesStrong knowledge of ML operations, including model monitoring, A/B testing, and production ML infrastructureComfortable working in cloud environments (AWS) and Linux systemsProven ability to set technical vision and drive innovation in ML systemsExperience hiring, building, and scaling high-performing data science teamsStrategic mindset with ...