Aws Specialist Seller Jobs

We are looking for a Senior Backend Engineer to join the Subscriptions Mission. This team oversees the entire user journey on Spotify and ensures we engage with people in innovative ways, every step of the way. Our team grows Spotify’s audience by finding future listeners around the world and delivering the right value to them, at the right time. With research, product development, product design, engineering, and marketing all collaborating in one organization, we’re able to quickly create meaningful features and services for millions of people around the world, resulting in joyful, long-lasting relationships with Spotify. As a Senior Backend Engineer you will participate in building and maintaining the systems responsible for driving user conversion, retention and upsells together with other R&D teams, Marketing and Growth. The team is uniquely positioned to play a key role in a new effort to strengthen our platform capabilities in this area to support the rapidly growing business needs of the ever-changing product portfolio. We are moving towards a more user focused, contextual conversion, retention and upsell experience that is less manually operated, and more consistent across channels, using levers like machine learning and personalisation. We want to solve this through a platformised approach utilising new systems for decision-making on what we want users to see combined with a content management solution that can handle all the necessary complexities. What You'll Do Architect, develop and operate Java services that serve our users through the merchandising platform to enable cohesive and relevant conversion and upsell journeys. Collaborate with our squad and key internal partners to determine how to design scalable backend systems, data models and APIs that run on Google Cloud Platform. Be a technical leader, mentor and valued contributor in an autonomous, cross-functional agile squad, in close collaboration with other squads and b

Staff Software Engineer, Full Stack - Guest team 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. Because our technology is purpose-built for restaurants, by restaurant people - and increasingly shaped by AI in both what we build and how we build - restaurants can trust that we’ll deliver on their needs for today while investing in the experiences that will power their restaurant of the future. Are you bready* for a change? We’re seeking a Staff Software Engineer to work within our team focused on building impactful capabilities that empower restaurants to drive Guest engagement, retention and growth. The team will help shape the future of how restaurants use technology to connect with their guests - increasingly through AI-powered tools and experiences that drive automation, personalization and smarter decision-making. You will be a key part of a high-impact, high-ownership engineering team solving complex challenges in a fast-moving product space. Your engineering leadership will be balancing technical excellence alongside a strong product mindset to solve for continuous growth within both the team and our product space. About this roll * (Responsibilities) Design, build, deploy, and maintain highly resilient and scalable features Lead complex projects that improve functionality and reliability for our customers and partners Partner with a wide array of teams across Toast Ensure quality by building automated testing for changes Roll* features out to customers and partners, including monitoring for success Collaborate with UX and PM on the definition and design of features Mentor and coach other engineers Do you have the right ingredients* ? (Requirements) 8-12 years experience building backend services and APIs Extensive experience working with an Object Oriented Language like Java or Kotlin, with a deep understanding of testing, quality

About Druva Druva is the resilience foundation for the AI enterprise, helping organizations secure and recover from connected risk across data, cyber, identity, and AI. The Resilience Cloud is a fully managed, cloud-native SaaS platform that delivers air-gapped and immutable protection across cloud, SaaS, on-premises, endpoint, and edge environments. Powered by Dru MetaGraph, Druva’s graph-powered intelligence layer, the platform connects critical business context so customers can understand risk, respond faster, recover cleanly, and govern data with greater confidence. Trusted by nearly 7,500 customers, including 75 of the Fortune 500, Druva helps safeguard the critical information and systems businesses depend on in an increasingly connected world. Visit druva.com and follow us on LinkedIn , X and Facebook . As a Senior Staff Software Engineer - Escalations, you will be responsible for fixing product bugs and delivering code changes to the Production part of product reliability, resiliency, stability & sustenance for all Druva SaaS Customers. This role will require excellent communication skills as you will collaborate with Product Management, CloudOps, Development & Customer-Facing Teams to refine requirements, product architects to propose architectural changes, and other product owners to drive features for usability/supportability/quality. Key Skills: 6 -9 years of experience in a combination of Development and Sustenance roles. Extensive hands-on experience in Go/Python on Unix/Linux or Windows platform. Excellent programming skills along with Data structures, Algorithms, and Design Concepts. Strong problem-solving skills and demonstrated ability to articulate and present technical solutions. Strong interpersonal and communication skills, both written and verbal, with the ability to develop and maintain working relationships at all levels, both with customers and internal stakeholders. Experience in ent

DevOps Engineer As a DevOps Engineer 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 the development and operations teams of our customers to build, deploy, and maintain critical systems, ensuring the reliability and scalability of the customers' infrastructure. In This Role, You Will: 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 cloud-based infrastructure (AWS, Azure, GCP, and other cloud providers) to ensure scalability, reliability, and security. Implement infrastructure as code (IaC) using tools such as Terraform, Pulumi, 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 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 maintain security best practices in infrastructure and application deployment. This would include vulnerab

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview As a Software Engineer on the Site Reliability team at Harvey, you will ensure the reliability, scalability, and performance of our legal AI platform. You’ll join a high-leverage team that sits at the intersection of infrastructure and product, owning the systems that keep our platform fast, secure, and always on. From scaling across 50+ regions to automating mission-critical operations, your work will ensure that Harvey remains resilient as we grow. If you’re passionate about building robust systems and reducing complexity through automation, we’d love to work with you. This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees. What You’ll Do Design, implement, and manage monitoring, alerting, and infrastr

Why Harvey At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview As a Staff Software Engineer on the Site Reliability team at Harvey, you will ensure the reliability, scalability, and performance of our legal AI platform. You’ll join a high-leverage team that sits at the intersection of infrastructure and product, owning the systems that keep our platform fast, secure, and always on. From scaling across 50+ regions to automating mission-critical operations, your work will ensure that Harvey remains resilient as we grow. If you’re passionate about building robust systems and reducing complexity through automation, we’d love to work with you. This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees. What You’ll Do Design, implement, and manage monitoring, alerting, and in

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. Auth0 provides an unparalleled authentication experience for hundreds of millions of users worldwide. Our commitment to reliability is a key foundation of our product and our dedication to exceeding customer availability expectations is a core engineering focus. As a Senior Site Reliability Engineer, you'll join our SRE team based in Europe to ensure our production systems are not only operational but also resilient, scalable, and ready for exponential growth. This isn't just about keeping the lights on; it's about directly contributing to the platform's core resiliency and robustness. You'll be a hands-on builder, crafting solutions that make our system more reliable by design. What you’ll do: Design and build custom software in Go to enhance the platform's reliability, resiliency, and redundancy. Partner with engineering teams to embed reliability principles, improving the availability, performance, and observability of our services. Use your deep understanding of infrastructure and observability principles to identify opportunities for improvement within the product and implement solutions. Contribute to our follow-the-sun on-call rotation, providing rapid, effective response to critical incidents and using your expertise to troubleshoot, mitigate or accurately escalate production issues. Because our team is globally distributed, your on-call shifts will only occur during your standard local working hours. Develop and refine our SRE tooling and proc

Get to Know the Sales Team Our sales team’s success is MongoDB’s success. We help customers solve challenges and build their next big thing. And our mission is to bring our developer data platform to new markets and new businesses around the globe. Our sales leadership is committed to building the best salesforce in technology. This means, inspiring and enabling success for everyone on the team. We not only equip you to be successful, but we want your feedback and input on how we can continue to “ Think Big and Go Far .” The Opportunity As an Enterprise Account Executive, Growth, you will play a pivotal role in driving the growth and success of MongoDB. You will be responsible for identifying and pursuing new business opportunities within an existing customer base, cultivating relationships with key stakeholders, and ensuring the successful adoption of our solutions. This role will be based remotely in Monrtreal What You’ll Be Doing Prospect into CTOs, Engineering/IT leaders, and technical end users Grow a current base of MongoDB customers by landing new workloads through outbound prospecting Manage the full sales cycle for all MongoDB Products & Services Develop and execute a strategic territory plan to achieve revenue targets Collaborate with the sales ecosystem to drive sales initiatives and partnerships Build a sales pipeline in Salesforce and Clari while maximizing prospecting tools such as Sales Navigator, ZoomInfo, Sendoso, and Outreach What You’ll Bring To The Role 5+ years of quota-carrying field sales experience with a focus on closing new workloads and expanding accounts Demonstrated ability to successfully expand existing accounts and sell horizontally across the organization into different business units A proven track record of overachievement and hitting sales targets Ability to articulate the business value of complex enterprise technology Co-selling with cloud service providers (AWS, GCP and Azure) and large GSIs (Accenture, KPMG, etc) is

Role Purpose: At Jumio, you will work for one of the market leaders in the global identity verification space that is helping to make the digital world a safer place for everyone. As a Software Development Engineer in the MLOpsTeam, you will develop the blueprint for highly scalable and performant ML model serving. Role Value: As a Software Engineer (SDE III), you will drive the continuous improvement of the infrastructure and applications to manage the lifecycle of ML assets (data, models) to better developer experience and strengthen governance capabilities. Secondly, you will design and implement robust ML infrastructure for model deployment, serving, and optimization. You will work on efficient CI/CD pipelines for ML models and leverage advanced compilers or hardware optimization to maximize inference performance while optimizing costs. We welcome you to challenge us to impact our software development processes and tools. Example Responsibilities: Upgrade ML assets (models, data) management systems for better developer experience and robust governance capabilities Build and optimize model serving infrastructure with a focus on inference latency and cost optimization Architect efficient inference pipelines that balance latency, throughput, and cost across various acceleration options Implement cost-efficient, enterprise-scale solutions Collaborate in a cross-functional, distributed team for continuous system improvement Work with MLEs, QA Engineers, and DevOps Engineers Evaluate and implement new technologies and tools Contribute to architectural decisions for distributed ML systems Experience and Qualifications : 5+ years of experience in software engineering with Python Experience with model lifecycle management (MLFlow, Weights & Biases or equivalent) Experience with data management ecosystem (quality, transformation, catalog) Experience with ML frameworks, particularly PyTorch Experience optimizing ML models with hardwar

Présentation du poste : Au sein de l’équipe technique d’Artefact, vous rejoignez une communauté de Software Engineers en tant que Manager et référent technique auprès de nos grands comptes clients. Dans un environnement à forte accélération sur la Data et l’IA Générative, vous intervenez pour piloter des projets d'ingénierie complexes, encadrer les équipes et porter l'excellence opérationnelle et technique. Ce qu’on attend de vous : En tant que Manager, vous supervisez la conception et le déploiement d'architectures critiques (Data Platforms, Agentic Platforms) tout en assurant l'encadrement, le mentorat et le développement de carrières des membres de l'équipe. Vous jouez un rôle clé dans la relation client, le cadrage technique des affaires et le rayonnement de la communauté tech Artefact. Vos missions : Piloter et encadrer la réalisation de projets Data & IA complexes (ex. solutions multi-agents LangGraph sur Kubernetes, architectures Médaillon). Superviser le cadrage et la construction de Data Platforms robustes sur GCP, AWS, Azure ou Snowflake en garantissant l'alignement avec les meilleures pratiques d'Infrastructure as Code (IaC) et d'ingénierie logicielle. Définir la vision technique des projets GenAI / LLM (orchestration, évaluation, contrôle) et promouvoir l'usage quotidien des coding agents au sein des équipes. Assurer la gestion de carrière, le suivi de performance et le mentoring continu des Software Engineers sous votre responsabilité. Mener les cadrages techniques auprès des clients grands comptes et défendre avec pédagogie les choix stratégiques et d'architecture. Veiller au respect des standards de qualité de code, de sécurité et de livrables sur l'ensemble de vos périmètres applicatifs. Contribuer activement à l'animation de la communauté technique (Talks Tech, Guildes, REX) et participer au processus de recrutement et de montée en compétences de la pratique. Profil recherché : Expérience & Leadership : Expérience confirmée en tant que Lead

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role As a Security Engineer you will join our OpenAI engineers and researchers in building, operating and securing transformational AI technologies. This role will focus on all aspects of Detection & Response but with a strong emphasis on detecting insider threats and influencing controls to safeguard OpenAI's most sensitive assets. In this role, you will: In this role, you will: Innovate on Detection and Response infrastructure to engineer and automate end-to-end detection and investigation workflows. Develop, measure, and tune detection rules to ensure effective and sustainable operations. Drive projects across OpenAI’s technology stack with a focus on insider threats, ranging from access abuse and intellectual property theft to novel risks emerging within AI infrastructure. Partner closely with cross-functional stakeholders, including HR, Legal, and peer investigative teams, providing technical expertise and evidence to support investigations. Collaborate on cutting-edge AI research, and use AI to improve OpenAI’s Security posture. You might thrive in this role if you: 5+ years experience working in a detection/response or insider-risk role.. We are seeking mid-level and senior candidates. You have broad familiarity with operating systems and platforms such as macOS, Windows, Linux, and Kubernetes, along with experience in cloud infrastructure. Knowledge of modern adversary tactics and attack paths, data exfiltration techniques, and h

센드버드는 옴니채널 AI와 세계 최고 수준의 검증된 커뮤니케이션 API를 결합하여, 기업이 AI 에이전트를 구축하고 의미 있는 고객 연결을 대규모로 만들어갈 수 있도록 돕습니다. 센드버드는 엔터프라이즈 수준의 안정성, 보안성, 규정 준수를 갖춘 솔루션을 제공합니다. DoorDash, Match Group, Noom, Yahoo Sports를 포함한 4,000개 이상의 글로벌 선도 앱이 센드버드를 신뢰하고 있으며, 매월 70억 건 이상의 대화가 센드버드 플랫폼을 통해 이루어지고 있습니다. 현재까지 실리콘밸리 최정상 투자사로부터 (ICONIQ, SoftBank, Tiger Global, Y Combinator) 누적 총 2억2천만달러 (약 2,450억 원)의 투자를 유치하였으며 국내 최초 기업가치 1조원 이상의 글로벌 유니콘 기업입니다. 캘리포니아 산 마테오의 본사와 서울의 R&D센터 및 APAC 오피스 그리고 뉴욕, 런던, 싱가포르, 인도, 캐나다 등에 오피스를 두고 있습니다. Intern, AI Agent Engineering AI 에이전트 엔지니어링 인턴은 엔지니어링 및 제품 팀과 협력하여 지능형 에이전트를 구축, 통합 및 배포합니다. 최신 웹 프레임워크, LLM API 및 툴링 파이프라인을 사용하여 프로토타입부터 프로덕션까지 실무 경험을 쌓게 됩니다. 인턴십 기간은 8~12주 입니다.(기간 논의 가능) 이런 일을 하실 수 있어요 에이전트 프로토타이핑 및 개발 프롬프트 엔지니어링으로 Hallucination 탐지, 대화 Resolution 등 마이크로 API 개발업무를 합니다. 내부 데이터셋과 도구를 활용해 AI Agent의 정확도를 테스트하고 검증합니다. 검색 증강 생성(RAG), 지식 기반 및 맞춤형 툴체인을 지원하는 백엔드 API를 통합합니다. 프롬프트 엔지니어링 및 툴링 다양한 사용 사례에 맞는 프롬프트를 제작, 테스트 및 세부 조정합니다. 프롬프트 버전 및 에이전트 배포를 위한 CI/CD 파이프라인을 설정합니다. 통합 및 배포 웹, 채팅 및 API 중심 환경에 에이전트를 임베드합니다. 실시간 성능 지표를 모니터링하고 로그, 대시보드 등의 관측 기능을 구현합니다. 협업 및 문서화 팀이 시니어 엔지니어, 제품 관리자 및 UX 디자이너와 긴밀히 협력할 수 있도록 지원합니다. 이런 분과 함께 하고 싶어요 Python: 깔끔하고 유지 관리가 용이한 Python 코드 작성 경험 Backend: Django, FastAPI, Express 등 서버 측 프레임워크를 사용한 백엔드 개발 실무 경험 협업: 뛰어난 의사소통 능력, 문서화 기술, 그리고 애자일한 팀에서의 협업 경험 산업기능요원 보충역 지원 가능 이런 점이 있으시면 더 좋아요 프롬프트 엔지니어링 프레임워크(예: LangChain) 사용 경험 클라우드 플랫폼(AWS Lambda, Vercel, GCP Cloud Functions)에 대한 이해도 AI 제품 관련 UX 디자인 또는 제품 관리 경험 Django 또는 유사한 Python 웹 프레임워크 사용 경험 이런 점을 얻을 수 있어요 첨단 에이전트 기반 AI 개발 및 시스템 배포에 대한 심층 분석 엔지니어링, 제품 및 디자인 전문가와의 교차 기능 협업 시니어 AI 엔지니어의 멘토링 실제 고객 사용 사례, 성능 튜닝 및 프로덕션급 툴 활용 경험 유연근무제 정책 Sendbird는 유연한 근무 일정을 지원합니다. 협업과 팀워크의 중요도가 높기에, 모든 구성원은 주 3일 이상 사무실에서 함께 모여 일하고 있어요. 일부 역할은 사무실 출근이 더 자주 필요할 수 있으니, 구체적인 요건은 매니저와 상의해 주세요. 센드버드가 생각하는 다양성과 포용 위 요구사항에 100% 부합하지 않으셔도 괜찮습니다. 센드버드는 모두가 배우고 성장할 수 있는 곳이기에 다양한 배경, 경험 및 기술 스택을 가진 누구든 최고의 직원이 되실 수 있다고 생각합니다. 우리는 평등한 고용 기회를 위해 다양성을 존중하고 장려하고 있습니다. 이 포지션이 여러분의 가슴을 뛰게 만든다면 지원해주세요! Flexible Work

Sendbird is building AI agents for customer experience. Our platform already powers billions of conversations every month across chat, voice, video, and messaging APIs. We are now using that foundation to build agents that understand customer context, reason over business data, and take reliable action in production. We are looking for a Machine Learning Engineer to research, build, and productionize new capabilities for those agents. This role sits at the intersection of agent product development, applied AI research, and production engineering. You will work on systems that enterprise customers depend on every day, not demos or isolated prototypes. About Sendbird and delight.ai Sendbird has spent more than a decade building communication infrastructure for in-app chat, voice, video, and messaging APIs. More than 4,000 brands use our platform, including DoorDash, Match Group, Noom, Yahoo Sports, and Rakuten. Our systems support more than 7 billion messages every month. In 2024, we made a strategic shift toward AI-first customer experience. In 2025, we launched our enterprise AI agent product, delight.ai. Delight.ai helps businesses deliver customer support and engagement that is faster, more contextual, and more personal. Unlike simple FAQ bots, our agents are built to remember customer context, use tools, retrieve relevant knowledge, connect across channels, and handle real customer workflows with accuracy and control. The Role As a Machine Learning Engineer, you will design, build, evaluate, and ship new capabilities for our AI agents. You will work across agent architecture, retrieval, memory, planning, tool use, workflow automation, voice, evaluation, data pipelines, model adaptation, inference, and production integration. This is a hands-on engineering role for someone who can turn AI research and product ideas into reliable customer-facing features. Some problems will require training, fine-tuning, or adapting models. Others will require better retrieval, bet

About The Role We’re looking for a hardworking, driven individual with superb energy, passion and initiative for growing business within existing accounts. The Enterprise Account Executive role focuses exclusively on formulating and executing a sales strategy within an assigned territory, resulting in revenue growth. We are looking to speak to candidates who are based in Melbourne for our hybrid working model. MongoDB’s Sales Culture MongoDB is always developing and innovating — not only in our technology, but also in our sales go-to-market strategy. Our sales leadership is committed to building the best salesforce in technology. This means, inspiring and enabling success for everyone on the team. We not only equip you to be successful and close deals, but we want your feedback and input on how we can continue to “ Think Big and Go Far .” As a crucial part of the Sales team at MongoDB, you will have access to a lucrative market and learn how to sell from some of the most successful sales leaders in the software industry. What you will be doing Proactively, identify, qualify and close a sales pipeline Strategically prospect into CTOs, Engineering/IT Leaders, & technical end users Build strong and effective relationships, resulting in growth opportunities Partner with our Solution Architects and work closely with the Professional Services and Customer Success team to achieve customer satisfaction Work closely with the enterprise ecosystem partner sales and channel partner to maximize deal sizes Participate in our sales enablement trainings, including our comprehensive Sales Bootcamp, sophisticated sales training, and leadership and development programs What you bring to the table 8+ years field experience of quota-carrying experience in a fast-paced and competitive market with a focus on expanding new accounts Demonstrated ability to sell into new lines of business within open accounts and run a complex sales process A proven track record of overachievement and hi

About Appspace: At Appspace, we’re passionate about creating better work experiences for people everywhere, and we’re looking for people that feel the same way. Our global office locations and flexible work culture help you work wherever and however you’re at your best. Plus, we take the time to help you enjoy your work, build lasting connections, and grow your role. Join the Appspace team and be a part of a culture that’s helping people everywhere love where they work. Your Role as a Cloud Security Engineer : We are seeking a highly skilled Cloud Security Engineer to join our dynamic team. This is a crucial customer-facing role where you will be instrumental in designing, implementing secure cloud configurations, being proactive by recommending security by design standards and, securing complex cloud environments for our clients across Google Cloud Platform (GCP), Microsoft Azure, and Amazon Web Services (AWS), with a strong emphasis on GCP. You will leverage your deep expertise in SaaS security, network security, and compliance to provide strategic guidance and hands-on support, ensuring our clients' cloud infrastructures are robust, resilient, and compliant with industry standards. What You'll Do: Cloud Security Operations: Design, implement, and optimize robust cloud security architectures to enhance, build, monitor and address all security alerts from our SIEM and other security systems. This is an operational role whereby you will be available M-F 8am-5pm EDT and, when needed, on-call shifts on evenings and weekends. Network Security Expertise: Your network security and cloud security expertise will be required to respond to customer questionnaires, customer calls and create artifacts including network diagrams, architecture diagram, data flow diagrams and other artifacts to support customer requests. Strong written skills will be required here and attention to detail. SIEM Integration & Optimization: As a Level-2 Security Operation