Aws Specialist Sellers Jobs

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. SHOULD YOU ACCEPT THIS CHALLENGE... This is an opportunity to be one of the seed members of a growing product team in the FlashBlade BU, one of the fastest growing at Pure. With the FlashBlade product, we are building a scale-out all-flash file and object store, designed for the modern world. To really understand how our customers work with data, we are deeply immersed in AI, modern backup, log analytics with Splunk and Elastic, data pipeline with Kafka, cluster computing with Spark, and many more use cases. You will love it on the FlashBlade team if you: Want to understand how modern applications - like AI or Splunk - work with data and how we can make it better. Enjoy working with distributed systems, algorithms, operating systems, Linux kernel, database internals, hypervisors, containers, compilers and hardware... or at least some of those. Are ready to dive into a complex problem and be the one who will drive it to a resolution. Want to work with other great engineers and develop or refine skills that will serve your entire career. If you, like us, say “bring it on” to exciting challenges that change the world, we have endless opportunities where you can make your mark. WHAT YOU’LL NEED TO BRING TO THIS ROLE... Design, collaborate and implement creative new algorithms and technologies for high-performance, highly reliable systems (think six 9’s). Own and deliver innovation end-to-end, from concept to shipped prod

The Team: 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. We share our technical and product expertise with customers through demos, presentations, technical evaluations, and ongoing support. Technical solutions is a growing global team that collaborates constantly to share knowledge and continuously advance our technical skillset. The Opportunity: The Partner Solution Architect (PSA) is a Datadog expert who will work closely with Datadog’s Director, Adoption Services, and is aligned to our Channels & Alliances business segment. The PSA is responsible for supporting a variety of technical initiatives and activities for our partners (for example: cloud migration, application modernization, DevOps transformation). They are accountable for the outcome of these initiatives, and frequently collaborate with both Datadog and Partner resources to drive success. The PSA is a trusted technical advisor for our Partner channel. You Will: Ensure the successful onboarding, training, enablement, and certification of partner technical resources; Participate in periodic joint business planning and review sessions to ensure direct alignment between Datadog and Partner technical teams; Collaborate internally to support Partner technical initiatives such as end-customer demonstrations and proofs of value; partner team enablement workshops; assessment, advice, and coaching on lead practices; Advocate on behalf of Partners’ technical concerns (use cases, feature requests, support issues, e.g.) with Datadog internal teams and personnel, helping to bring those concerns to resolution; Analyze and understand Partner service offerings on a regular basis and provide recommendations to enhance the value of those services through greater or improved adoption of Datadog features and capabilities; Collaborate with Datadog’s produ

Location Details: Remote, India At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join Our Team… GoDaddy powers the world’s largest cloud platform dedicated to small, independent ventures. With nearly 21 million customers worldwide and over 84 million domain names under management! GoDaddy is the place people come to name their idea, build a professional website, attract customers and manage their work. Our mission is to give our customers the tools, insights and the people to transform their ideas and personal initiative into success. To learn more about the company visit www.GoDaddy.com . Our Domain Search team (internally known as the Find team) is looking for a Senior Software Engineer to join us in building and improving one of GoDaddy’s most strategically critical platforms. Domain Search is a key revenue and growth pillar for GoDaddy, serving customers across 42 markets worldwide and powering the search experience behind our domain discovery, add-on products and advertising surfaces. Our engineering team is fully remote, collaborative and deeply invested in operational excellence, system ownership and continuous improvement. As a SDE on this team, you will not be handed tickets to complete. You will be expected to identify problems, define solutions, own delivery end to end, and raise the technical bar for the systems you work on. If you are someone who thrives on ownership, moves with purpose and takes pride in building things that scale, we want to hear from you. What you'll get to do... Architect and deliver highly-scalable, highly-available, cloud-ready services that power domain search experiences for ~100M+ que

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Join the FlashArray team to build high-performance, resilient storage software that powers mission-critical applications worldwide. As a core member of an agile engineering group, you will design and deliver zero-downtime algorithms that directly shape our enterprise storage and public cloud offerings. In this role, you will partner closely with global systems engineers and product teams to translate complex technical challenges into scalable, real-world solutions. Your work will directly impact how thousands of global enterprises manage, protect, and scale their data seamlessly. WHAT YOU’LL DO Design & Deliver Resilient Systems: Architect and implement high-performance algorithms for enterprise storage products, ensuring platform reliability, end-to-end delivery from concept to release, and six-nines availability. Expand Cloud Architecture: Extend core platform capabilities into public cloud environments (such as AWS), driving performance and agility for both traditional IT and cloud-native applications. Drive Problem Solving & Quality: Analyze and resolve complex systems software challenges, optimizing storage internals and contributing to continuous continuous platform upgrades. Collaborate & Mentor: Partner with multidisciplinary engineering peers to review code, refine architecture, and maintain high engineering standards across distributed software projects. WHAT YOU BRING Systems Programming Exp

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Identity & Integrity organization is looking for software engineers. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched and safe. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers. As a Software Engineer in the Identity team, your primary responsibilities will encompass: Lyft’s Login & Signup Experiences: Design and enhancement of our Multi-factor authentication (MFA) experiences. Optimization of verification funnels, including: Phone-based two-factor authentication (2FA) Email verification Identity provider single sign-ons (SSO) Overseeing session management and device validation. Developing OAuth client provisioning and related tooling. Account Security: Act as the frontline defense against fraudsters and phishers aiming to exploit rider and driver accounts through product vulnerabilities. Implement strategies to counteract risks posed by social engineering tactics. Scaling Core Services: Lead the maintenance and optimization of core microservices under the Identity team's purview, essential to Lyft’s diverse service offerings. Manage organizational structures and multi-user management systems. (RBAC, family accounts, AuthZ) Design solutions for high-stakes challenges such as: Preventing unauthorized driving. Thwarting abuse related to recycled phones and their numbers. Striking a balance between stringent customer verification and ensuring minimal user friction. Responsibilities Write well-crafted, well-tested, readable, maintainable code Promote appropriate tech and engineering best practices Implement identity and security protocols to se

The Manager, Business Intelligence leads a team of product owners and reporting engineers who build and maintain the reporting our corporate business areas and venues run on. You set the standard for how data is modeled, defined, and delivered in Amazon Quick Suite (Quick Sight) on top of Redshift and Snowflake, and you connect two halves of the team: the product owners who own the relationship with the business and the backlog, and the engineers who build against it. Success is measured less by dashboards shipped and more by decisions improved — how fast a venue GM or a corporate leader gets a reliable answer, and how much they trust it. Team leadership Lead, coach, and develop a team of BI product owners and reporting engineers; own hiring, onboarding, performance, and career growth across two distinct skill tracks. Develop product owners in requirements gathering, backlog management, stakeholder communication, acceptance criteria, and saying no well. Develop reporting engineers in SQL, data modeling, Quick Suite development, and engineering craft. Hold the line between the two: ensure requirements arrive well-defined and that engineers aren't absorbing unscoped work mid-sprint. Run the team's delivery cadence — intake, prioritization, sprint or release planning, and demo/review — balancing executive asks against roadmap commitments and technical debt. Establish and enforce team standards for SQL, data modeling, version control, code review, testing, documentation, and dashboard design consistency. Product management of the reporting portfolio Own the BI product roadmap across corporate functions and venue operations; make the trade-off calls when demand exceeds capacity. Ensure each business area — Finance, Operations, Marketing, F&B, Guest Experience — has a clear product owner relationship and a visible backlog.<

RDQ427R198 The Opportunity Multi-cloud is core to Databricks product strategy. Compute serves as the layer that abstracts the cloud from the rest of the company. Building unified infrastructure on top of heterogeneous clouds is a challenge that few companies experience. As an engineer on this team, you won’t just manage infrastructure; you will build it as a product. You will tackle the hard problems of distributed systems: sub-second container/MicroVM startup times, multi-tenant security isolation, and building a unified orchestration layer that scales across AWS, Azure, and GCP. What You’ll Do Design and build the next generation of our Serverless platform, focusing on high availability, low latency, and scale-to-zero efficiency. Build a single compute stack that supports heterogeneous workloads, including GPU instance qualification for AI training and stateful execution for Lakebase. Solve Multi-Cloud Complexity: Develop platform-level abstractions that allow Databricks to run seamlessly across all major cloud providers. Optimize everything from the API gateway down to the host-level networking and container orchestration. Work alongside industry experts who have built world-class systems like Borg, Kubernetes, and Uber’s infrastructure. What We’re Looking For 5+ years of production-level experience in one of: Python, Java, Scala, C++, or a similar language 4+ years of experience developing large-scale distributed systems from scratch Experience with Kubernetes, Docker, or MicroVM technologies (e.g., Firecracker) and a strong grasp of cloud provider internals (AWS/Azure/GCP). You aren't just a user of tools; you understand how to build them from the ground up when existing solutions fail at our scale. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.&n

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. AI Security Engineer (Agentic SOC) Location: McLean, VA | On-site (5 days/week) ABOUT THE TEAM The Appian Information Security department continuously evaluates the global threat landscape to protect Appian operations and service offerings. Our mission is to build, monitor, and scale robust security tools and processes that shield critical corporate and customer assets from emerging threats, international security concerns, and vulnerabilities, ensuring our AI-Powered Process Automation platform remains resilient and secure. THE OPPORTUNITY At Appian, we believe our greatest innovations spring from in-person collaboration. Joining our team at our McLean headquarters means you will work alongside elite security architects in a high-velocity environment that prioritizes your professional growth. This role offers an unparalleled launchpad to transition academic knowledge into real-world impact, giving you direct ownership over intrusion detection capabilities and cloud-based defense strategies for our Enterprise-Grade Orchestration ecosystem. WHAT YOU'LL DO Build & Deploy Agents: Design, test, and deploy autonomous and semi-autonomous AI agents that integrate natively with our enterprise security stack (SIEM, EDR, XDR, and Threat Intel feeds). Code the Playbooks: Translate traditional, human-centric SOC playbooks and analyst workflows into deterministic and heuristic agentic pipelines (using DAGs and multi-agent routing). Optimize RAG Pipelines: Design, optimize, and maintain production-grade Retrieval-Augmented Generation (RAG) workflows to inject real-

Req ID: FEQ427R18 Location London, UK The Role As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. The Impact You Will Have Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics Serve as a trusted technical advisor to customer architects, engineering leads, and Directors Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streamin

Opportunity Overview: We are seeking a Senior Actuarial Analyst to join our Actuarial team. In this role, you will own the models and core reporting that quantify customer outcomes, impact, and cost savings for Cohere’s prior authorization programs, and present what is driving those results to internal leadership and external customers. You’ll partner closely with clinical, customer success, and data teams to keep the numbers accurate and consistent, making this an opportunity to shape how Cohere measures and communicates the value it delivers. This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events. What you’ll do: Own and maintain client-facing reporting that measures cost savings, outcomes, and performance of prior authorization programs across specialty areas (MSK, cardiology, diagnostic imaging, therapy, sleep, and others). Build, maintain, and QC the actuarial models and methodology behind that reporting, and keep them ready to scale to new clients and lines of business. Analyze and interpret authorization and claims data to identify trends, key drivers, and opportunities to improve customer value, and quantify the dollar and utilization effect of each. Design and run impact evaluations and post-implementation assessments: define intervention and comparison cohorts, baselines and benchmarks, units of measurement, and methods (pre and post, difference-in-differences, quasi-experimental), including sensitivity analyses that isolate true Cohere impact and validate savings. Reconcile authorization-based impact against realized claims, and investigate and explain month-over-month and quarter-over-quarter changes. Prepare and present clear, executive-level insights and results to external customers and internal leadership, articulating assumptions, drivers, and implications. Partner closely with customer success, clinical, and actuarial teams to align metrics, assumptio

Opportunity Overview: We are looking for a detail-oriented Senior Actuarial Support Analyst to join our Actuarial team. In this role, you will be responsible for evaluating cost-saving initiatives that enhance the efficiency and effectiveness of the prior authorization process. The ideal candidate will have extensive experience in healthcare analytics, financial modeling, and prior authorization, along with a strong strategic mindset and data-driven problem-solving skills. The work will be fast-paced and project-based, with evolving needs - requiring curiosity, flexibility, and grace under pressure. At a growing organization, this is a position that offers the ability to make a substantive mark on the company and its partners with exponential growth opportunities. You will be part of the Actuarial team and develop & maintain cost savings models. This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events. What you’ll do: Design and maintain complex financial models to track and analyze cost-saving initiatives, providing regular updates and insights to senior leadership and stakeholders. Perform advanced data analysis to assess prior authorization & claims trends, decision patterns, and cost drivers. Lead the design and development of financial models to quantify the impact of proposed cost-saving initiatives and forecast cost reduction outcomes for business cases. Use statistical and data visualization tools to identify trends, patterns, and anomalies in claims data that may indicate areas for improvement on savings. Prepare detailed and executive-level reports and presentations that summarize cost-saving achievements, project performance, and future cost-saving potential. Act as a trusted advisor to leadership and key internal & external stakeholders, providing strategic insights, recommendations, and guidance on cost-saving strategies. Work closely with clinic

CSQ427R351 At Databricks, we aim to empower our customers to solve the world's most challenging problems using the Data + AI Platform while putting trusted data and AI in the hands of every business user. As a Senior Scale Solution Engineer, you are a technical anchor for our scaled customer motion, advising customers across many stages of their lifecycle: from pre-sales evaluation through onboarding and into production. You independently take on complex engagements and build and improve AI-augmented workflows that enable the whole team to deliver high-quality guidance at scale. The impact you will have: You will ensure customers have an excellent experience by independently owning engagements across their lifecycle. You will be the go-to expert on the Databricks Data + AI Platform, owning technical direction and building reusable AI-augmented workflows. You will work directly with multiple customers concurrently and set the quality bar for the team. What we look for: Excellent communication and interpersonal skills, with the ability to assess customer needs, foster relationships, address objections, and effectively showcase the value of the Databricks platform. Undergraduate degree or higher in Computer Science, Information Systems, or similar relevant experience. 4+ years of experience in a technical role, preferably in the Data, AI, or Cloud field. Deep knowledge of at least one of the following cloud platforms, AWS, Azure, or GCP; familiarity with more than one is a plus. Knowledge of AI-driven development with programming languages like Python or SQL, including building and extending AI-augmented workflows. Understanding of the end-to-end data analytics and data engineering workflow, and their trade-offs. Excellent time management and prioritization skills. Bonus: Experience building AI tooling and automation, consulting or pre-sales, or with agentic solutions. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — in

CSQ327R201 At Databricks, we aim to empower our customers to solve the world's most challenging problems using the Data + AI Platform while putting trusted data and AI in the hands of every business user. As a Scale Solution Engineer, you play a critical role in advising customers across many stages of their lifecycle: from pre-sales evaluation through onboarding and into production, by building and working with AI-augmented workflows that enable one engineer to deliver quality guidance at scale. The impact you will have: You will ensure customers have an excellent experience by providing technical assistance across their lifecycle. You will become an expert on the Databricks Data + AI Platform and guide customers in making the best technical decisions through AI-augmented workflows. You will work directly with multiple customers concurrently to provide technical solutions. What we look for: Excellent communication and interpersonal skills, with the ability to assess customer needs, foster relationships, address objections, and effectively showcase the value of the Databricks Data + AI Platform. Undergraduate degree or higher in Computer Science, Information Systems, or similar relevant experience. 1+ years of experience in a technical role, preferably in the Data, AI, or Cloud field. Knowledge of at least one of the following cloud platforms, AWS, Azure, or GCP, is required. Knowledge of AI-driven development with programming languages like Python or SQL. Understanding of the end-to-end data analytics and data engineering workflow. Excellent time management and prioritization skills. Bonus: Experience in consulting or pre-sales roles, or with agentic solutions. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquar

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, CPU families, and clouds. The Capacity Engineering team is responsible for making sure all of our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute — one of the company's largest areas of spend. As the Senior Engineering Manager for Capacity Engineering, you will lead the team that builds and operates these production systems. You'll set technical direction, grow and develop a team of senior and staff-level engineers, and be accountable for the reliability and correctness of surfaces that leadership, research engineering, inference, infrastructure, and finance all depend on. This is a hands-on leadership role and will be onsite 5 days a week: we expect you to stay close enough to the systems to review designs, make sound architectural calls, and step into an incident when the team needs you — while spending most of your time on people, priorities, and cross-organizational alignment. The team's work spans three overlapping areas, and you'll be responsible for balancing investment across them as business priorities shift: Data platform — Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Consumers range from research engineers to finance to leadership, s

Who we are About Stripe Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you’ll do Responsibilities Contribute to team strategy, roadmap, tooling, process, and culture. Scope, design, implement, and deploy robust solutions, making appropriate tradeoffs between reliability, throughput, latency, resiliency, engineering velocity and cost. Innovate, design and implement software solutions that contribute towards improvement in infrastructure resiliency, reliability, efficiency and management at scale. Uphold our high engineering standards and improve our codebase and processes. Who you are Minimum requirements Must have a Bachelor's degree or foreign equivalent in Computer Science, Computer Engineering, or a related field, plus 5 years of progressive, post-baccalaureate experience in Software development. Must also have 5 years of experience in each of the following: Developing, maintaining and debugging distributed systems built with open source tools; Building infrastructure as a product centered around users’ needs; Scaling distributed systems; Breaking down large complex systems; Identifying shortcomings and optimization opportunities to make data driven cost performance tradeoffs to influence design decisions; Building and operating infrastructure and tools that empower developers; Working in a development team in AWS, Azure, OCI or GCP; and Programming languages: Ruby, Go, Python, or Java. Salary: $206,086.00 - $285,600.00/yr This salary range represents the base salary range for the role