Aws Specialist Sellers Jobs

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. At Ripple, we’re building a world where value moves like information does today. Through our crypto solutions for financial institutions, businesses, governments, and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. Ripple Treasury, now a Ripple solution acquired in 2025, marks a significant expansion into the multi-trillion-dollar corporate finance arena. With more than 40 years of experience supporting some of the world’s largest and most sophisticated companies, Ripple Treasury integrates a treasury command center into Ripple’s technology stack—giving corporates the ability to move, manage, and optimize liquidity in real-time, across traditional and digital assets, under one expanded umbrella. THE WORK: This is an engineering-first role with a coaching dimension—not the other way around. You will spend the majority of your time doing hands-on observability and reliability engineering work: building instrumentation, designing alert configurations, authoring Terraform, and troubleshooting production systems. Alongside that, you will coach and consult with stream-aligned product teams, helping them build operational maturity over time. You will join Ripple’s Technical Operations team and work across Azure (80%) and AWS (20%) environments supporting in

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. At Ripple, we’re building a world where value moves like information does today. Through our crypto solutions for financial institutions, businesses, governments, and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. Ripple Treasury, now a Ripple solution acquired in 2025, marks a significant expansion into the multi-trillion-dollar corporate finance arena. With more than 40 years of experience supporting some of the world’s largest and most sophisticated companies, Ripple Treasury integrates a treasury command center into Ripple’s technology stack—giving corporates the ability to move, manage, and optimize liquidity in real-time, across traditional and digital assets, under one expanded umbrella. THE WORK: This is an engineering-first role with a coaching dimension—not the other way around. You will spend the majority of your time doing hands-on observability and reliability engineering work: building instrumentation, designing alert configurations, authoring Terraform, and troubleshooting production systems. Alongside that, you will coach and consult with stream-aligned product teams, helping them build operational maturity over time. You will join Ripple’s Technical Operations team and work across Azure (80%) and AWS (20%) environments supporting in

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Staff Offensive Security Engineer. About the job The Staff Engineer acts as a Technical Lead. You don't just find bugs; you design complex attack chains that demonstrate systemic risk. You spend as much time writing custom code and researching new bypasses as you do executing tests. Responsibilities In this role, you’ll: Full-Stack Penetration Testing: Perform manual and automated testing of web applications, APIs, and mobile apps (iOS/Android). Internal/External Network Audits: Conduct network and cloud level assessments with various tooling Vulnerability Validation: Triage and validate reports from automated scanners or bug bounty hunters to eliminate false positives and escalate true positives AI/LLM Probing: Perform initial prompt injection and jailbreak tests on AI prototypes, services, and applications using established checklists (OWASP Top 10 for LLMs). Technical Reporting: Draft high-quality reports that detail

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. As a Staff Data Scientist, you’ll lead the design and development of scalable ML systems for use cases such as menu recommendation, demand forecasting, offer targeting, and guest personalization. You will serve as a technical thought partner across teams, set best practices, and influence the roadmap for ML-driven products that support key business outcomes. Your work will directly shape strategic decisions and enhance customer experience at scale. This role is for a current vacancy. A day in the life (Responsibilities) Own the full machine learning lifecycle—from problem framing and data exploration to modeling, deployment, and monitoring—for mission-critical initiatives. Design and implement advanced ML and statistical models that improve product performance, operational efficiency, or customer insights. Collaborate with engineers, product managers, and business stakeholders to define project scope, success metrics, and integration strategy. Guide architectural decisions, set modeling standards, and champion best practices for experimentation, validation, and productionization. Mentor other data scientists and raise the technical bar through design reviews, feedback, and sharing domain expertise. Proactively identify areas where data science can create business value and lead cross-functional efforts to drive those opportunities forward. Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team. What you'll need to thrive (Requirements) 5+ years of experience in data science with a proven track record of delivering production ML systems that drive measurable impact. Deep knowledge of statistical modeling, machine lea

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. As a Staff Data Scientist, you’ll lead the design and development of scalable ML systems for use cases such as menu recommendation, demand forecasting, offer targeting, and guest personalization. You will serve as a technical thought partner across teams, set best practices, and influence the roadmap for ML-driven products that support key business outcomes. Your work will directly shape strategic decisions and enhance customer experience at scale. A day in the life (Responsibilities) Own the full machine learning lifecycle—from problem framing and data exploration to modeling, deployment, and monitoring—for mission-critical initiatives. Design and implement advanced ML and statistical models that improve product performance, operational efficiency, or customer insights. Collaborate with engineers, product managers, and business stakeholders to define project scope, success metrics, and integration strategy. Guide architectural decisions, set modeling standards, and champion best practices for experimentation, validation, and productionization. Mentor other data scientists and raise the technical bar through design reviews, feedback, and sharing domain expertise. Proactively identify areas where data science can create business value and lead cross-functional efforts to drive those opportunities forward. Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team. What you'll need to thrive (Requirements) 7+ years of experience in data science with a proven track record of delivering production ML systems that drive measurable impact. Deep knowledge of statistical modeling, machine learning (e.g., tree-based models, time series, dee

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role: We are looking for a Security Software Engineer, Detection & Response, to build the telemetry, logging, and response systems for our Detection & Response team, as a builder, not a queue-triage role. You will build detection and response as software across a multi-cloud fleet of servers, containers, and endpoints, and test where AI and agents can safely take work off responders. This is a hybrid role based in San Francisco, New York City, or London, with three days a week in the office. What you’ll do: Deploy and operate telemetry at fleet scale with osquery and extended Berkeley Packet Filter (eBPF) sensors across servers, containers, and endpoints, and own performance overhead, staged rollouts, canaries, and rollbacks Build and maintain the logging and security information and event management (SIEM) pipeline behind detection, including ingestion, normalization, enrichment, storage, and cost, with detections written as code with tests, code review, and continuous integration and continuous delivery (CI/CD) Automate response with tooling for host isolation, credential revocation, evidence collection, and enrichment, and test where AI and agents can safely take work off responders Strengthen the corporate security stack, including endpoint detection and response (EDR) and fleet management across Mac, Windows, and Linux, email security, and GitHub controls Join the on-call rotation, work with the managed security operations center (SOC) on escalations, and automate evidence collection for System and Organization Controls 2 (S

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role Addepar is seeking a highly skilled and motivated Engineering Manager to join our world-class team.In this high-impact role, you won't just lead a group of engineers—you'll be the driving force behind scaling the Addepar Platform and architecting cross-cutting solutions that redefine how our products interact. Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position. What You’ll Do Your responsibilities will include: Driving the technical direction for cross cutting products across Addepar. Collaborating with teams from various departments to successfully implement platform strategies. Building and managing a team of exceptional engineers. Ensuring flawless and timely execution of deliverables. Developing and maintaining relationships with partners across Addepar. Who You Are Minimum 10+ years of experience in software engineering Proven experience in leading engineering teams in fintech space. Strong problem-solving and decision-making skills Good experience and knowledge in the below tech stack including : Java (Version 17 OR 21) , Kafka, Spring Boot, Quarkus, AWS , SQL/noSQL Databases Nice to have experience with

Who We Are At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people. We’re helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we’d love to hear from you. We're united by shared goals and shared motivations at Justworks. These are best summed up in our company values, which are reflected in our product and in our team. Our Values If this sounds like you, you’ll fit right in. Department Technology, Data & Analytics The Data & Analytics team is Justworks' data and AI center of excellence - a connected set of functions spanning business intelligence, data science, analytics engineering, platform data/ML engineering and AI builders. We've grown significantly over the last several years and continue to build momentum across the business, leveling up maturity in how we deliver insights, govern data, and enable the company to make better decisions. You'll find a highly collaborative & diverse group motivated by craft, shared learning, and a genuine commitment to growing our impact for customers while evolving how we work together for our people. Come build with us! The Analytics Engineering team sits at the center of how Justworks turns raw data into the foundation for trustworthy analysis and reporting across the company. Who You Are You are a data leader with a curious mindset, a passion for building, and an eye for optimization. You thrive when enabling the strategic and effective use of data within and outside of a data team. You are adept at understanding business challenges and framing them as enablem

The IT SaaS Engineering Team plays a critical role in optimizing MongoDB sales processes, streamlining customer interactions, and maximizing the efficiency of our sales efforts. By leveraging Salesforce, the team ensures that business users have the tools, automation, security, and governance needed to effectively manage customer relationships, support operational processes, and drive business growth. With deep expertise in Salesforce development, platform governance, automation, and system operations, the team continuously enhances the CRM platform to meet evolving business needs. The team partners closely with stakeholders across Sales Operations, Revenue Operations, Security, Compliance, and Engineering to deliver scalable, secure, and reliable Salesforce solutions. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Role Overview We are looking for a highly capable Senior Salesforce Engineer to design, build, and maintain scalable CRM solutions that support MongoDB’s Sales organization. This role combines strong hands-on Salesforce development, solution design, cross-functional collaboration, and a modern engineering mindset to deliver reliable, maintainable, and high-quality solutions across the core Salesforce platform. What you’ll do Design, build, and maintain scalable Salesforce solutions across the core CRM platform, including custom development, automation, and integrations Partner with business stakeholders, program managers, and technical teams to understand requirements and translate them into secure, maintainable, and scalable technical solutions Own delivery across the full solution lifecycle, including design, development, testing, deployment, documentation, and production support Collaborate closely with globally distributed engineering teams to deliver reliable, secure, and well-governed solutions in an Agile environment Drive strong engineering practices across code quality, documentation, release managem

DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides in-depth context of AI and data assets with best-in-class scalability and extensibility. The company's enterprise SaaS offering, DataHub Cloud, delivers a fully managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance, enabling AI & data to work together and bring order to data chaos. About the Role We're seeking an experienced DevOps/ Site Reliability Engineering (SRE) Engineer to join DataHub and drive the reliability, scalability, and operational excellence of our platform offerings. In this role, you'll work on technical initiatives across DataHub Cloud and our emerging enterprise deployment solution, which provides customers with enhanced control and flexibility for running DataHub in their preferred environments. Key Responsibilities Enterprise Platform Development: Partner with product and engineering teams to influence the development of advanced deployment capabilities. Collaborate with cross-functional teams to help build systems for seamless installation, upgrade, and rollback processes across various environments. Influence the design and help implement comprehensive monitoring and health check systems for distributed deployments. Partner with engineering teams to help develop self-healing and automated remediation capabilities. Platform Reliability and Operations: Establish and maintain SLAs/SLOs for both cloud and enterprise offerings. Lead incident response and post-mortem processes to drive continuous improvement. Optimise system performance, capacity planning, and cost efficiency. Work closely with product, engineerin

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Senior Child Safety Intelligence Analyst on Roblox’s Safety Intelligence Team, you will be on the front lines protecting the platform’s youngest and most vulnerable users. This is a proactive intelligence role focused on identifying, tracking, and disrupting systemic threats to minors, to include child sexual exploitation and abuse (CSAE), grooming behaviors, peer-to-peer harassment, financial minor extortion (sextortion) and bad-actor networks trying to exploit platform features to victimize minors. You will blend quantitative and qualitative data, open-source intelligence (OSINT), behavioral analysis, and deep knowledge of online culture to uncover adversarial trends before they impact the platform ecosystem, and provide your analysis to teams across Roblox and company leadership. Your insights will directly shape automated detection logic, product safety features, and platform policy. Psychological Wellness Note: This role involves exposure to highly sensitive and potentially disturbing themes regarding the exploitation of minors. Roblox offers resources to support employees handling this challenging work. This role is based in San Mateo, CA and requires employees

About Sayari: Sayari is the judgment infrastructure for trustworthy AI in economic security and commercial risk. The Sayari Commercial World Model resolves 11.7B+ primary-source records from 250+ jurisdictions forming the ground truth of global commerce. A Judgment Ontology, encoding over a decade of investigative tradecraft, and Superconductor, an agentic orchestration platform, deliver AI that reasons like an expert analyst, shows its work, and traces every finding to its source. Trusted by U.S. Customs and Border Protection, HM Revenue & Customs, and Fortune 500 enterprises, Sayari is used by thousands of professionals across 35+ countries to secure supply chains and dismantle illicit networks. Headquartered in Washington, D.C., with offices in London, Singapore, Tokyo, and Tel Aviv. POSITION DESCRIPTION This is not a traditional engineering role. As a Forward Deployed Engineer (FDE), you are at the critical intersection of our code, our clients, and their most critical missions. You will be deployed to our most strategic partners, embedding within their environments to solve high-stakes problems that have no textbook answers. You own the "last mile" of our product's impact , ensuring our technology fundamentally transforms how our users confront challenges such as financial crime, supply chain disruption, and threats to national security. You are equal parts engineer, strategist, and operator. One day you might be architecting a data pipeline within a client's cloud environment ; the next, you'll be writing production Python to integrate our API into a proprietary analytics platform; and by the end of the week, you could be briefing a C-level executive, intelligence analyst, or mission director on the outcomes your work has enabled. You thrive on ambiguity, operate with extreme ownership, and are relentless in your pursuit of delivering real-world value. You will act as a vital conduit between the front lines and our core engineering teams, turning you

About the Role: We're hiring Senior and Staff Data Platform Engineers to join the Data Infrastructure teams in Toronto. Together these teams own the infrastructure that processes billions of events per day: Spark-on-Kubernetes, Flink and Kinesis pipelines, a multi-petabyte Delta Lake, a large-scale MemoryDB feature store, Databricks multi-environment operations, and the catalog and lifecycle systems that govern it. The team is small and senior. Each engineer owns major platform components: you design it, build it, and support it in production. This is a hybrid-role based out of our Toronto office. You must be willing to travel to our Toronto office two days/week. What You'll Do: Spark-on-Kubernetes — EKS-based compute platform for Spark workloads: cluster configuration, Pod Identity IAM, job environment setup, Kustomize overlays, and shadow canary validation Event ingestion — Rust services and Flink jobs processing billions of events per day over Kinesis; throughput, reliability, on-call response, and AI-assisted operational tooling to reduce toil Platform infrastructure — Terraform modules for environment provisioning, cross-account AWS IAM, ARC runner infrastructure, and CI/CD for data platform changes Feature store and ML compute — Flink-based real-time feature pipelines feeding a large-scale MemoryDB cluster; GPU capacity governance and Databricks multi-environment operations for ML training workloads Workflow orchestration and CDC — Airflow-based DAG deployment, change data capture pipeline operations, and data quality monitoring Your Background: 3+ years building and operating production data platform infrastructure at the cluster or platform level, across Spark, Flink, Kinesis, Kubernetes, or equivalent Deep experience in at least one of: Spark-on-K8s cluster operations, Rust-based data or systems engineering, Kubernetes platform engineering and IaC, or data catalog and governance tooling Production AWS experience or equivalent: EKS, S3, Kinesis, and mu

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. A Technical Account Manager (TAM) will continue to provide hands-on technical services to our largest customers by supporting, adopting and providing guidance over the comprehensive suite of products and features available at Datadog. A TAM is held in high regard as an expert and trusted advisor for how IT Operations translates to business value. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Advise on technical support and product adoption for customers in line with pre-sales, post-sales and the renewal processes Analyze customer’s IT Operations environment on a regular basis and provide recommendations that will maximize Datadog’s value. Be the customer’s advocate by knowing their goals and use cases then suggesting process changes, product adoption, configuration and additional features to meet their requirements Participate and prepare for Monthly and Quarterly Business Reviews with customers Collaborate with Datadog’s product management, engineering and technical services teams to help identify new features and products Continuously evolve best practice to technical product adoption and customer success Who You Are: Someone with a solid technical grounding and hands-on experience of IT Operations Confident in your hands on experience AWS, Azure or GCP Comfortable scripting languages like Python, Javascript, Ruby, Perl, Go, PHP, or Chef/Puppet etc. Skilled in using CI/CD tools e.g. Jenkins, Gitlab etc. Knowledgeable about Containerization tools e.g. Docker, Kubernetes or Rancher etc. Able to sit up to 4 hours, traveling to and from client sites A

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . The PinTech team at Pinterest supports partnerships across a diverse set of companies to provide our Pinners with world class experiences bringing them the inspiration to create a life they love. As a Partner / Technical Support Engineer, you’ll work with a variety of Tier 1 clients across Pinterest products (Enterprise, Adtech, Shopping, Growth, etc.) to define and build scalable partner solutions, helping hundreds of millions of people find ideas and inspiration. You will be the evangelist of Pinterest’s technology stack, both internationally and domestically. What you’ll do: Serve as a subject matter expert on the Pinterest API and Pinterest partner integrations Become an expert in Pinterest’s business products and how to best deploy them and troubleshoot them Lead the definition, development, and broad-scale adoption of Pinteres