Aws Specialist Seller Jobs

About the role: At Rubrik IT, we are transforming how the enterprise thinks and operates — building a "thinking enterprise" where intelligent, agentic systems reason across our data, tools, and workflows to drive speed, quality, and measurable business impact. As an AI Architect, you will be a pivotal technical leader driving AI Native solutions that make this vision real. You will operate where AI innovation, top-tier engineering, and business outcomes converge, acting as the technical bridge between complex business problems and cutting-edge AI execution. Leveraging our robust Enterprise AI Platform, you will translate ambiguous problems into concrete AI solution designs and ensure their successful deployment and measurable impact. This role is designed for systems-thinkers and orchestrators with an AI-first mindset — leaders who move fluidly between hands-on building AI solutions, and who know how to harness model APIs, data sources, and workflow layers to build practical technology that serves the business. What you'll do: Lead applied AI solution design and architecture, breaking down ambiguous business problems into concrete, actionable AI solution designs. Contribute to the detailed design of large-scale, distributed AI/ML systems, ensuring performance, reliability, and security. Design and improve retrieval, prompting, tool-calling, and orchestration patterns for internal use cases such as knowledge assistants, workflow automation, and decision support. Champion and enforce design standards, patterns, and best practices for scalable and secure development of AI applications across teams. Drive the hands-on development and implementation of key AI components, supporting both traditional and Generative AI model development and deployment. Build and deploy AI-enabled internal workflows that connect enterprise systems, data sources, model APIs, and automation layers. Leverage AI-assisted development to accelerate implementation, bringing a strong 'ed

Here’s a summary of the role: Are you a Technical Writer or Content Engineer who enjoys working at the intersection of documentation, technology, automation, and AI? In this role, you’ll shape how complex SaaS product knowledge is created, structured, published, and consumed by both people and AI systems. You’ll own documentation strategy across key product areas while working closely with Product, Engineering, Design, Support, Customer Success, and other teams. You’ll bring experience in technical writing, docs-as-code, content architecture, structured authoring, CI/CD, content automation, LLMs, RAG, and AI-assisted workflows to build documentation that is accurate, discoverable, reusable, and ready for the next generation of AI-powered experiences. Here’s a breakdown of what you’ll do (not all of it, just the important stuff): Lead documentation strategy and execution across assigned SaaS product areas, ensuring content is clear, accurate, consistent, and customer-focused. Define and improve information architecture, content models, structured content, and documentation standards to make knowledge scalable and reusable. Build and maintain AI-ready content, including agent instructions, prompt libraries, reusable skills, and workflows that help AI systems find and use product knowledge effectively. Partner with Product, Engineering, Design, Support, Customer Success, Training, Implementation, and Marketing teams to embed documentation into the product development lifecycle. Build and improve automated documentation workflows covering content testing, validation, publishing, deployment, and quality assurance. Use customer feedback, analytics, and content performance data to continuously improve documentation quality, findability, freshness, and overall customer experience. These are the essentials you’ll need to get an interview: 7–10 years’ experience in technical writing, content engineering, or product documentation, ideally within a complex software/SaaS environ

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Job Description/ Responsibilities: 7-12 Years of Experience in Designing, developing and maintaining stable and reliable AI/ML Ops platforms / pipelines Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time. Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with AWS Bedrock is preferable Resource Optimization: Manage GPU/CPU utilization to m

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Staff Software Engineer Company Description: Okta is the leading independent provider of enterprise identity. The Okta Identity Cloud enables organizations to securely connect the right people to the right technologies at the right time. With over 6,500 pre-built integrations to applications and infrastructure providers, Okta customers can easily and securely use the best technologies for their business. Over 7,950 organizations, including 20th Century Fox, JetBlue, Nordstrom, Slack, Teach for America and Twilio, trust Okta to help protect the identities of their workforces and customers Position Description: The Okta platform provides directory services, single sign-on, strong authentication, provisioning, workflow, and built in reporting. It runs in the cloud on a secure, reliable, extensively audited platform and integrates deeply with on premises applications, directories, and identity management systems. We are looking for an experienced Staff Software Engineer to work on our Onboarding and Lifecycle Management (LCM) Platform team with focus on enhancing and managing services for importing, syncing and provisioning identities and access policies i.e., users, groups, roles, entitlements, etc. These features allow customers the flexibility to link and enhance their business processes with Okta’s identity management product. This role is to build, design solutions, and maintain our platform for scale. The ideal candidate is someone who has experience buil

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Senior Staff Machine Learning Engineer to join our team. This is a remote (USA) role, reporting to the Manager AI Platform and Data Science in the AI Platform and Data Science department. This team’s mission is high-fidelity risk identification in customer data, with goals to catch all threats while minimizing noise. To achieve this, you will develop solutions applying data analysis and threat-research while leveraging AI, machine learning, and data engineering to build quality, data-driven components to automate security analysis. What you’ll do (Role Expectations) Translate risk identification methods into agent logic, understanding the benefits and limitations of agents and ensuring quality across risk analysis, explanations, and recommendations Collaborate closely with threat-research to understand data, threats, and their approach to developing security heuristics Identify and solve data requi

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Senior Machine Learning Engineer to join our team. This is a remote (USA) role, reporting to the Manager AI Platform and Data Science in the AI Platform and Data Science department. This team’s mission is high-fidelity risk identification in customer data. Our goals are to catch all threats while minimizing noise. To do this, you will develop solutions applying data analysis and threat-research, while using AI, machine learning, and data engineering to build quality, data-driven components to automate security analysis. What you’ll do (Role Expectations) Translate risk identification methods into agent logic, understanding the benefits and limitations of agents, and how to ensure quality in different types of tasks, including risk analysis, explanations, and recommendations Collaborate closely with threat-research to understand data and threats and their approach to developing security heuristics I

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As part of the HIG HBM Product and System Engineering organization, you will be leading a team of engineers building the predictive models that determine how HBM is screened, dispositioned, and tested in high-volume manufacturing. In this role, you will work on intelligent systems that improve engineering productivity, strengthen technical decision-making, and unlock insights from complex manufacturing, validation, and engineering workflows. You will collaborate with cross-functional teams across Product and System Engineering, Design Engineering, Test Engineering, Data Science, IT, and Manufacturing to prototype, build, and scale practical AI-driven solutions that improve quality, cost, cycle time, and engineering efficiency. Also, you will need to be experienced as people leader and manager and able to lead, manage and coach a group of engineers. Key Responsibilities Mentorship and Development: Actively mentor and develop tea

Senior Software Engineer, Backend — Toast International Location: Toronto, ON / Canada Hybrid (Ontario) Who We Are Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. Are you bready* for a change? As a Senior Backend Engineer on the Toast International team, you’ll play a pivotal role in engineering the platform that powers the next generation of guest reservations, dynamic floor management, and table operations across global markets like the UK, Europe, and Canada. You will lead the design and execution of core backend services—building scalable backend systems, robust integrations, data processing pipelines, and core platform capabilities. You’ll collaborate closely with engineering teams in North America and Europe, product managers, and designers to win high-value full-service restaurants worldwide. About this roll* (Responsibilities) Architect, implement, and scale distributed backend microservices (Java / Kotlin / AWS) powering reservations and guest management. Build core transactional and payment capabilities for the platform. Design robust integrations with third-party aggregators and partners and two-way POS synchronization. Implement tiering, entitlements, and usage metering services across freemium waitlists and premium subscription tiers. Partner cross-functionally with Mobile, Web/Frontend, Product Management, and UX to deliver seamless end-to-end features. Drive high standards of code quality, observability, test automation (unit, integration, and contract tests), and operational excellence. Mentor team members, participate in technical design reviews, and leverage modern AI development workflows to accelerate velocity and code quality. Do you have the right ingredients*? (Requirements) 5+ years of software engineering experience building scalable, distributed backend microservices in production. Deep proficiency in Java or Kot

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team The Security Engineering team at Decagon protects the platform that powers the most advanced conversational AI agents for enterprise customers across voice, chat, email, and SMS. We build the security foundations that enable Decagon's AI agents to handle sensitive customer data with complete trust while defending against sophisticated, AI-enabled threats at massive scale. This role sits at the intersection of Security and Infrastructure. Like the rest of our Infrastructure org, we believe the best security comes from paved paths, strong SLAs, and high-quality systems that other engineers can rely on by default. Our mission is to secure magical support experiences, ensuring that AI agents and human agents can collaborate safely to help users resolve their issues while maintaining the highest standards of security and privacy. About the Role We're hiring our founding Platform Engineer, Security to design, build, and operate the security infrastructure that powers Decagon's AI platform.

Role Description Defense Unicorns is seeking a senior Data Engineer to embed with a government team and its technology partners building an emerging AI-powered engineering ecosystem. This role will focus on making enterprise data usable, discoverable, governed, and accessible to AI models, agents, and mission applications. The engineer will work across data ingestion, transformation, storage, metadata, APIs, search, vector and graph technologies, and the interfaces between the data layer and AI workloads. The ideal candidate is a hands-on data engineer who can operate across the full data lifecycle and understands that data availability and integration are often the primary blockers to delivering AI capabilities. They should be comfortable entering an evolving architecture, learning unfamiliar systems quickly, working directly with commercial technology partners, and solving difficult problems involving data quality, lineage, access, performance, and security. This is not a traditional analytics or business intelligence role. The focus is on building the data foundations and repeatable patterns that allow AI and agentic capabilities to access trusted data and move from prototype to production in secure and classified environments. Responsibilities Design, build, and maintain reliable data pipelines that ingest, transform, validate, and deliver data for AI models, agents, and mission applications. Integrate structured and unstructured data sources into enterprise data services, including relational, document, vector, and graph-oriented technologies. Work closely with AI/agent engineers to make data discoverable and usable for RAG, semantic search, model context, and tool-enabled agent workflows. Develop repeatable data ingestion and transformation patterns using Python, SQL, APIs, event-driven architectures, and workflow/orchestration technologies. Establish data quality, validation, provenance, lineage, and metadata practices so downstream users and AI systems can t

PagerDuty, Inc. (NYSE: PD) is the global leader in AI-first digital operations. By automatically detecting, diagnosing, and remediating issues, the PagerDuty Platform orchestrates AI agents and automated workflows with context from over 750 integrations. Trusted by approximately two-thirds of the Fortune 100 and nearly half of the Fortune 500, PagerDuty is the industry standard for organizations scaling resilient, autonomous operations. Notable customers include Chipotle, Cloudflare, Docusign, Fox, Nvidia, Salesforce, Spotify, Zoom and more. We are growing rapidly and hiring top talent with leading AI skills across engineering, sales, product, marketing, and beyond as we build the leading digital operations platform. PagerDuty is seeking a Software Engineer to join our diverse and customer-focused team! You'll be working on our strategic integrations, which connect PagerDuty to the many tools our customers rely on. The work spans a wide range of technologies, including APIs, webhooks, OAuth, and SaaS platforms across multiple languages, and you'll help advance how we use AI as a core part of day-to-day engineering. Why we need you The PagerDuty Integrations Team is looking for a software engineer who's eager to learn new technologies. Our integrations connect PagerDuty to the wider set of tools our customers use every day, spanning many languages, platforms, and protocols. You'll help create the foundation for these systems by building highly available services, scalable databases, and secure APIs. You'll also help promote engineering excellence across our design, development, test, and release cycles, with AI as a core part of how you work. Key Responsibilities From day one, you'll be designing, coding, testing and shipping backend applications and microservices, APIs, webhooks, and front-end interfaces that ensure we deliver reliable, scalable integrations to our customers. You'll collaborate closely with engineers across teams. With 20,000+ global customer

The Data Pipeline team, within the MongoDB Observability organization, builds and supports scalable, highly available capabilities for transporting and transforming telemetry data across MongoDB. The team's mission is to provide a unified streaming pipeline that ingests data and processes high-throughput telemetry, enabling the migration of legacy observability solutions within MongoDB. Built on a diskless, Kafka-compatible data streaming platform as the core streaming bus and Apache Flink for real-time transformations and delivery to storage, the platform lives on Kubernetes clusters and enables downstream consumers to access live telemetry for immediate analysis and reliable long-term retention. The main concern of this team is to provide reliable systems with high availability and replay capabilities. About the role We're looking for a Software Engineer 3 to help build and operate this platform. This is an individual contributor role that combines hands-on software development with systems and site reliability engineering. You'll contribute code and ship backend improvements, while also troubleshooting production issues and helping keep the services reliable. If you enjoy both building distributed systems and understanding how they behave in production, this role offers the opportunity to work on high-volume telemetry processing with meaningful operational responsibility. You'll contribute to medium-sized technical projects and grow with support from experienced engineers. We are looking to speak to candidates based in Dublin for our hybrid working model. We're looking for someone who Enjoys working with other engineers, is approachable and curious, and is open to feedback Has experience with Kafka-compatible streaming platforms, Apache Flink, or comparable stream-processing technologies Has experience writing production backend systems in a compiled language, such as Java, Go, C, or C++ Has experience designing and developing scalable distributed services,

About AlphaSense: The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! About the Role We're looking for a Staff Software Engineer who owns technical direction, thrives in ambiguity, and uses AI as a natural part of how they build software. You won't just write code — you'll make decisions that shape systems for years, mentor engineers across teams, and drive the engineering bar higher across the organization. This team designs and operates large-scale systems that ingest, process, and enrich diverse content like filings, transcripts, news, research, and more. In this role, you will build and own backend services and high-throughput data pipelines that turn raw content into structured, searchable intelligence. As a Staff Engineer, you'll operate at the intersection of technical depth and organizational influence — turning ambiguous business problems into executable technical strategies, and shipping them end-to-end. What You

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Role: We are looking for a curious, smart, and “learn it all” Architect with proven experience and a passion for designing transformative solution architectures for our prospects and customers. This high-impact role demands a unique blend of deep technical expertise and executive presence, requiring you to confidently present to C-level executives and translate their strategic goals into actionable technical plans. You will work with technical teams at our prospects and customers to design architectures that drive enterprise modernization , leveraging techniques like capability mapping and exploring innovative solutions with Agentic AI . Your primary goal is to support our growing sales team in achieving revenue goals by unlocking technical blockers and partnering closely with our Sales, Value Engineering, Product Management, Data Ops, and Information Security teams. You will be responsible for supporting engagements with new prospects as well as existing customers that look to expand their footprint. Measures of success include new customer acquisition rates, retention, up-selling, and contribution to overall sales team and business success. The work you’ll do: Lead and define the overall architecture, data, and cloud strategy

Aliases: Senior EHR Data Implementation Analyst (Epic/Cerner), Lead, Healthcare Data Exchange and Interoperability, Senior Clinical Data Mapping and Integration Analyst, Healthcare Data Ingestion and Interoperability Engineer, Senior Clinical Informatics Analyst - Data Integration, Healthcare Implementation Consultant - Data. About Truveta Truveta is the world's first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta's ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values. Truveta was born in the Pacific Northwest in the USA and has employees who live across the country. As we expand our global footprint with a new presence in Hyderabad, India, we're building a world-class team to help us scale this mission, and high-quality, well-integrated health data is at the heart of everything we do. This job requires daily onsite work at our headquarters in Hyderabad, India. Who We Need Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you. This Opportunity We are seeking a Senior Healthcare Data Integration Analyst to lead and support the onboarding of member data into the Truveta platform. This role is central to ensuring high-quality, well-integrated data that meets clinical, research, and oper