Aws Specialist Sellers Jobs

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role Supabase is a validated AWS partner building toward a structured multi-year partnership, and we're just getting started. AWS SAs are talking to thousands of customers who need exactly what we build—a full backend platform with Postgres at the core—without the vendor lock-in. This is an opportunity to get Supabase in front of the right SAs and make us the default recommendation for a modern backend. We’re looking for a Platform Evangelist to join our Partnerships Team and help embed Supabase into the global AWS Solutions Architect community. This role reports directly to the Alliance Lead for the AWS partnership. You’ll work closely with AWS Solutions Architects , helping us proactively identify customer problems where Supabase is the right solution and closing the gap between partner intent and real customer outcomes. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions. What You’ll Be Responsible for In this role, you’ll focus on three core pillars: Technical Evangelism & Education Build deep relationships with AWS Solutions Architects, focusing initially on defined verticals and open-source database migration motions. Develop and deliver technical workshops, training materials, and enablement content to give AWS SAs the fluency to position Supabase. Create demos, integration guides, and reference architectures that make Supabase’s fit with AWS services immediately legible. Partner with AWS SAs on active opportunities, providing technical support to move deals forward and feeding pipeline intelligence back to the alliance. Technical Support & Enablement Resolve blockers for AWS S

Principal Data Engineer – AWS Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent Engineer future-ready data platforms that power financial transformation. The Role We’re looking for a Principal Data Engineer with AWS to join our growing team of engineering experts driving next -generation transformation for Tier 1 financial services clients. You’ll play a pivotal role in designing, building, and deploying cloud-based data pipelines that enable trusted, scalable data platforms. Working across greenfield initiatives and enterprise-scale programmes, your work will directly influence how data is ingested, transformed, and consumed across the financial services industry. You'll also embrace AI-enabled ways of working, using approved AI and automation tools where appropriate to enhance productivity, improve delivery quality, and accelerate engineering outcomes while applying sound engineering judgement and responsible AI practices. What You’ll Do Design and build end-to-end data pipelines using AWS -native services and modern cloud data architectures, ensuring scalable, secure, and resilient solutions. Partner with clients and cross-functional teams to understand business requirements, define technical solutions, and deliver production-grade data platforms. Apply AWS Well-Architected Principles, engineering best practices, CI/CD, and AI-enabled development approaches to improve quality, efficiency, and operational excellence. Lead the development of robust, tested, fault-tolerant data engineering solutions while promoting responsible engineering standards and governance. Mentor engineers, share technical expertise, and encourage the effective and responsible use of approved AI tools and automation to enhance collaboration and delivery. What We’re Looking For Strong proficiency in Python , Scala , or Java , with hands-on experience of Big Data technologies including Spark , Hadoop , or similar distributed processing frameworks. Experi

Senior Data Engineer – AWS Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent Engineer future-ready data platforms that power financial transformation. The Role We’re looking for a Senior Data Engineer with AWS to join our growing team of engineering experts driving next -generation transformation for Tier 1 financial services clients. You’ll play a pivotal role in designing, building, and deploying cloud-based data pipelines. Working across greenfield projects and enterprise-scale platforms, your work will directly impact how data is ingested, transformed, and served at scale across the financial services industry. You'll also embrace AI-enabled ways of working, using approved AI and automation tools where appropriate to improve engineering productivity, accelerate delivery, and enhance solution quality while applying sound engineering judgement and responsible AI practices. What You’ll Do Design and build end-to-end data pipelines leveraging AWS -native services and modern data architectures. Collaborate with clients to gather requirements, define technical solutions, and deliver production-grade systems that meet business needs. Apply AWS Well-Architected Principles, CI/CD practices, and AI-enabled engineering approaches to deliver scalable, secure, resilient, and high-quality solutions. Develop robust, tested, and fault-tolerant data engineering solutions while promoting engineering best practices and data governance. Mentor junior engineers, contribute to knowledge sharing, and encourage the responsible use of approved AI tools and automation to improve collaboration and delivery. What We’re Looking For Strong proficiency in Python , Scala , or Java with hands-on experience in Big Data technologies including Spark , Hadoop , or similar distributed processing frameworks. Practical experience building real-time event streaming pipelines using technologies such as Kafka , Spark Streaming, or Amazon Kinesis within AWS en

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. You Will: Design, build, and maintain backend integrations using AWS services such as Lambda, S3, SQS, SNS, and EventBridge Develop API-based automations and orchestrate data flows between Salesforce, NetSuite, Workday, Snowflake, and other SaaS platforms Refactor and enhance legacy integration logic to align with modern architecture standards Own your code from design through CI/CD (GitLab) and deployment via Terraform/CloudFormation Collaborate with US-based engineers on shared initiatives, sprint planning, code reviews, and technical handoffs Participate in a shared production support rotation, resolving critical integration and data pipeline issues Partner with architects and BSAs to review integration design and testing strategies for reliability and resilience Support both ETL-style batch pipelines and real-time event streaming using CDC and platform events You Have: BS in Computer Science, related field, or equivalent industry experience 5+ years of experience in backend software development or automation using Node.js, Python, VS code or similar Strong experience with AWS services, especially Lambda, S3, SQS/SNS, EventBridge, DynamoDB Expertise in database design, schema modeling, and query optimization (DynamoDB & Snowflake preferred) Strong grasp of integration design patterns, secure API development (REST/SOAP), and system interoperability Develop and maintain GitLab based CI/CD pipeline implementations for tests, linting, deployment, etc. Experience with managing infrastructure as code (Terraform, Cl

As a DevOps Engineer (AWS) at Particle41, you will play a crucial role in enhancing our software development and IT operations processes. The ideal candidate will have a strong background in both software development and IT operations, with a focus on automating and streamlining processes to achieve efficient and reliable software delivery for our customers. You will work closely with development and operations teams of our customers to build, deploy, and maintain critical systems, ensuring the reliability and scalability of the customers' infrastructure. Responsibilities: Collaboration and Communication: Work closely with software developers, system administrators, and other stakeholders to understand the requirements and objectives of projects. Collaborate on the design, implementation, and maintenance of continuous integration and delivery pipelines. Create and maintain comprehensive documentation for systems, processes, and configurations. Automation and Tooling: Design, implement, and manage automation processes for software build, deployment, and configuration. Evaluate, select, and implement tools and technologies to enhance the efficiency of the development and deployment processes. Infrastructure Management: Manage and maintain AWS cloud infrastructure to ensure scalability, reliability, and security. Implement infrastructure as code (IaC) using tools such as Terraform, CloudFormation, and others. Establish and maintain CI/CD pipelines to automate the software delivery process, including build, test, and deployment phases. Monitoring and Performance: Develop and implement monitoring solutions using CloudWatch and other AWS monitoring tools to ensure the health and performance of systems and applications. Proactively identify and address issues related to system performance, reliability, and scalability. Security and Compliance: Implement and mai

As a DevOps Engineer (AWS) at Particle41, you will play a crucial role in enhancing our software development and IT operations processes. The ideal candidate will have a strong background in both software development and IT operations, with a focus on automating and streamlining processes to achieve efficient and reliable software delivery for our customers. You will work closely with development and operations teams of our customers to build, deploy, and maintain critical systems, ensuring the reliability and scalability of the customers' infrastructure. Responsibilities: Collaboration and Communication: Work closely with software developers, system administrators, and other stakeholders to understand the requirements and objectives of projects. Collaborate on the design, implementation, and maintenance of continuous integration and delivery pipelines. Create and maintain comprehensive documentation for systems, processes, and configurations. Automation and Tooling: Design, implement, and manage automation processes for software build, deployment, and configuration. Evaluate, select, and implement tools and technologies to enhance the efficiency of the development and deployment processes. Infrastructure Management: Manage and maintain AWS cloud infrastructure to ensure scalability, reliability, and security. Implement infrastructure as code (IaC) using tools such as Terraform, CloudFormation, and others. Establish and maintain CI/CD pipelines to automate the software delivery process, including build, test, and deployment phases. Monitoring and Performance: Develop and implement monitoring solutions using CloudWatch and other AWS monitoring tools to ensure the health and performance of systems and applications. Proactively identify and address issues related to system performance, reliability, and scalability. Security and Compliance: Implement and mai

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. Workforce Identity Cloud Okta Workforce Identity Cloud (WIC) provides easy, secure access for your workforce so you can focus on other strategic priorities, such as reducing costs and doing more for your customers. If you like to be challenged and have a passion for solving large-scale automation, testing, and tuning problems, we would love to hear from you. The ideal candidate is someone who exemplifies the ethics of, “If you have to do something more than once, automate it” and who can rapidly self-educate on new concepts and tools. Position Overview: The Staff Site Reliability Engineer (SRE) will play a key role in building and managing Kubernetes platforms that support cloud-native applications and services. This position focuses on architecting and managing reliable, scalable, and secure Kubernetes-based platforms on AWS, ensuring high availability and performance while optimising costs and automation. The ideal candidate will have hands-on experience with AWS infrastructure, Kubernetes platform creation, Helm charts, Karpenter scaling, and Istio service mesh. Key Responsibilities: Kubernetes Platform Creation: Design, implement, and maintain highly available, scalable, and fault-tolerant Kubernetes platforms. Ensure clusters are optimised for production workloads, providing high resilience and operational efficiency. AWS Infrastructure Management: Build, manage, and optimise AWS cloud infrastructure, including EKS, ECS, S3, VPCS, RDS, IAM, and more. I

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. Workforce Identity Cloud Okta Workforce Identity Cloud (WIC) provides easy, secure access for your workforce so you can focus on other strategic priorities, such as reducing costs and doing more for your customers. If you like to be challenged and have a passion for solving large-scale automation, testing, and tuning problems, we would love to hear from you. The ideal candidate is someone who exemplifies the ethics of, “If you have to do something more than once, automate it” and who can rapidly self-educate on new concepts and tools. Position Overview: The Staff Site Reliability Engineer (SRE) will play a key role in building and managing Kubernetes platforms that support cloud-native applications and services. This position focuses on architecting and managing reliable, scalable, and secure Kubernetes-based platforms on AWS, ensuring high availability and performance while optimising costs and automation. The ideal candidate will have hands-on experience with AWS infrastructure, Kubernetes platform creation, Helm charts, Karpenter scaling, and Istio service mesh. Key Responsibilities: Kubernetes Platform Creation: Design, implement, and maintain highly available, scalable, and fault-tolerant Kubernetes platforms. Ensure clusters are optimised for production workloads, providing high resilience and operational efficiency. AWS Infrastructure Management: Build, manage, and optimise AWS cloud infrastructure, including EKS, ECS, S3, VPCS, RDS, IAM, and more. I

Here's a summary of the role: You're a hands-on engineer who enjoys solving complex data challenges at scale. You'll join the Data Hub team, building the shared data platform that supports reporting, analytics, AI, and Data Science initiatives across Diligent. Working with Python, SQL, AWS, and cloud-native technologies, you'll help process, organize, and enrich large volumes of data while developing scalable services and modern data solutions. You'll collaborate closely with Product Managers, Engineering Managers, and fellow engineers to deliver high-quality features, improve platform capabilities, and shape the future of our data ecosystem. If you enjoy ownership, solving challenging problems, experimenting with new technologies, and working in a collaborative environment, you'll fit right in. Here's a breakdown of what you'll do (not all of it, just the important stuff): Design, develop, review, and test features and user stories following Agile development practices Contribute to core platform development and integration projects across multiple systems Participate in shaping the future architecture of the product , including designing scalable backend services and prototypes Collaborate with Product Owners and Engineering Managers to analyze, refine, and document technical requirements Build and maintain cloud-native solutions and microservices-based applications Leverage AI-assisted development tools , code assistants, and modern engineering workflows to improve delivery efficiency Support the creation and maintenance of high-quality operational and technical documentation Continuously identify opportunities to improve engineering processes, quality, and team effectiveness These are the essentials you'll need to get an interview: 2+ years of experience in a hands-on software development role within a commercial software environment Strong programming experi

About the team The Applied AI Engineering (AAE) team is responsible for helping developers and enterprises turn the potential of generative AI into real-world impact. We act as trusted advisors and technical partners to customers and ecosystem partners, helping identify high-impact AI use cases and bring them into production through strong architectural guidance and hands-on execution. The Partner Applied AI Engineering organization works closely with strategic cloud providers, systems integrators, consultancies, and implementation partners to scale successful adoption of OpenAI technologies. As the leader of the AWS Partner AAE pod, you will manage a team of Applied AI Engineers focused on enabling AWS-aligned partners and their customers to build, deploy, and operationalize AI applications on OpenAI’s platform. About the role We are seeking a Manager, Partner Applied AI Engineering – AWS to lead a team of Applied AI Engineers supporting strategic AWS ecosystem partnerships. In this role, you will own the technical success strategy for AWS-aligned partners and help build scalable, repeatable ways for partners and their customers to adopt OpenAI technologies. Your team will guide partners and customers across the full AI implementation lifecycle—from identifying and shaping high-value use cases to solution design, architecture, production deployment, optimization, and adoption growth. You will work cross-functionally with internal and external stakeholders across Sales, Partnerships, Product, Research, and Engineering to ensure the voice of partners and customers informs our platform roadmap and how we bring OpenAI technology into production at scale. This role requires a blend of technical depth, customer leadership, operational rigor, and people management. Success will be measured through production deployments, partner technical maturity, API adoption growth, team development, and the overall impact of the AWS partner ecosystem. This role is based in our San Fra

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. Workforce Identity Cloud Okta Workforce Identity Cloud (WIC) provides easy, secure access for your workforce so you can focus on other strategic priorities, such as reducing costs and doing more for your customers. If you like to be challenged and have a passion for solving large-scale automation, global traffic routing, and resilient cloud infrastructure problems, we would love to hear from you. The ideal candidate is someone who exemplifies the ethics of, “If you have to do something more than once, automate it” and who can rapidly self-educate on new network topologies, multi-cloud ecosystems, and agentic engineering models. Position Overview: The Staff Software Engineer - Infrastructure will play a foundational role in architecting, evolving, and securing Okta's global core network fabric and multi-cloud platform layers. This position focuses on building highly resilient, edge management in AWS and GCP cloud, executing enterprise-wide cloud migrations (AWS to GCP), enforcing absolute Zero-Trust primitives (mTLS / TLS 1.3), and integrating cutting-edge AI automation layers (Agentic SRE) into our day-to-day operations. As a Staff Engineer on this team, you will act as a key technical anchor in India, working closely with global counterparts to maintain Okta's high-availability SLAs while protecting the platform against active global DDoS attacks. Key Responsibilities: Global Ingress & Routerless Evolution (CFSaaS): Design and engineer Next-Gen traffic

GHX is seeking a Software Engineer with strong technical skills and growing experience in designing, developing, and delivering quality software solutions. You will join the Rules and Actions team and report to the Manager of Engineering. The team owns the rules engine at the core of the GHX Exchange platform. That engine evaluates routing and business rules against document events and runs the resulting actions, such as routing, notifications, and document processing, for healthcare supply chain transactions. The ideal candidate is proficient in Java and the J2EE/Spring stack, has exposure to AWS cloud services and event-driven systems, and is developing skills in CI/CD pipelines and software design patterns. What You'll Work On - Build and enhance features in the rules execution service. It consumes EventBus document events, runs the rule engine, and publishes outcomes such as route-found and no-route-found. - Implement rule types, specifications, and actions on the shared rules framework and Exchange extension libraries, following established patterns. - Support EventBus-driven rules, including MongoDB-backed rule definitions, event matching, and rule caching. - Contribute to Intelligent Business Rules (IBR) capabilities such as business-rule statistics and change-request persistence. - Develop and maintain rule actions for document handling and integrations, with guidance from senior engineers. Ship changes behind feature flags. - Write JUnit 5 and Mockito tests, and help with ongoing monolith decoupling and Java version migrations. Duties and Responsibilities - Design and implement scalable, secure, and maintainable software that aligns with business needs and is flexible, reusable, and efficient. - Translate ideas into clear, high-quality code under the guidance of senior engineers. - Contribute to technical design for features and stories. Document your work and follow IT control policies. - Work with your team and cross-functional

You’ll shape the future of a business‑critical platform as the technical lead across both product engineering and cloud infrastructure. You’ll modernize a mature .NET application running on AWS today, while steering its evolution toward a cloud‑native, React/Node.js, AI‑enabled architecture. If you enjoy owning architecture end‑to‑end, from backend and frontend through CI/CD, DevOps, and AWS infrastructure, this role gives you real influence at Staff Engineer level and the opportunity to set engineering standards that others follow. You’ll spend your time leading complex .NET and React features, designing scalable AWS infrastructure with Infrastructure as Code, and building automation that makes releases fast, safe, and repeatable. You’ll work on performance, reliability, and modernization in equal measure—fixing what’s slowing the platform down today and designing what it will look like in the next generation. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Lead the architecture and development of enterprise .NET services and APIs that power a business‑critical platform. Design and operate AWS infrastructure (using AWS CDK in TypeScript) to support secure, scalable, multi‑environment deployments. Build and optimize CI/CD pipelines (AWS CodePipeline, CodeBuild, Windows build agents) to make shipping .NET and React changes fast and reliable. Drive modernization initiatives across the stack, including clean architecture, refactoring legacy components, and reducing technical debt. Design and tune PostgreSQL and MSSQL database solutions for performance, scalability, and reliability. Mentor engineers and influence engineering practices across teams, raising the bar on cloud, DevOps, and software design. These are the essentials you’ll need to get an interview Significant experience (typically 8+ years) delivering and operating scalable enterprise software, owning both application code and cloud infrastructure. Deep hands‑on expertise with C

GHX is seeking a Software Engineer III with a proven track record in designing, developing, and delivering high-quality, scalable software solutions across the full stack. This role is responsible for the creation, implementation, and support of both existing and next-generation products used in the healthcare supply chain. The ideal candidate brings strong, modern Angular expertise (particularly Angular 17+), combined with solid Java and J2EE development experience, proficiency in AWS cloud services, and a firm command of CI/CD pipelines and software design patterns. Duties and Responsibilities Design and implement scalable, secure, and maintainable software solutions aligned with business needs, creating flexible and reusable components across the full stack . Build and modernize user-facing applications using modern Angular, TypeScript, and component-based front-end architecture . Lead technical design for complex features and initiatives, authoring clear technical documentation and ensuring adherence to IT control policies . Develop and support backend services and integrations using Java, AWS services, and database technologies . Collaborate with cross-functional teams to address technical dependencies and deliver high-quality products . Identify root causes of system challenges, analyze upstream and downstream impacts, and recommend practical, broad-reaching solutions . Follow best practices in development, testing, CI/CD, and Agile workflows, and build strong working relationships to influence technical decisions across teams . Maintain a deep understanding of system architecture, integrations, and data flows . Actively use AI-powered development tools to improve productivity and code quality . Required Qualifications 5 or more years of experience in software development with a BS Degree in Computer Science or equivalent professional experience . 4 or more years of expe

GHX is seeking a Senior Software Engineer with a proven track record in designing, developing, and delivering high-quality, scalable software solutions across the full stack. This role is responsible for creating, implementing, and supporting both existing and next-generation products used in the healthcare supply chain. The ideal candidate brings strong, modern Angular expertise (particularly Angular 17+), plus Java and J2EE development experience, proficiency in AWS cloud services, and a firm command of CI/CD pipelines and software design patterns. Duties and Responsibilities Design and implement scalable, secure, maintainable software solutions aligned with business needs, creating flexible, reusable components across the full stack. Build and modernize user-facing applications using modern Angular, TypeScript, and component-based front-end architecture. Lead technical design for complex features and initiatives, authoring clear technical documentation and ensuring adherence to IT control policies. Develop and support back-end services and integrations using Java, AWS services, and database technologies, as needed. Collaborate with cross-functional teams to address technical dependencies and deliver high-quality products. Identify root causes of system challenges, analyze upstream and downstream impacts, and recommend practical, broad-reaching solutions. Promote best practices in development, testing, CI/CD, and Agile workflows, and build strong working relationships to influence technical decisions across teams. Mentor less experienced engineers across the team through pairing and code review. Maintain a deep understanding of system architecture, integrations, and data flows. Actively use AI-powered development tools to improve productivity and code quality. Required Qualifications 8 or more years of experience in software development with a BS Degree in Computer Science or equivalent professional experience. 5 or more years of experience developing modern web a