Aws Specialist Seller Jobs

Role: Senior AI Engineer Location: Hyderabad, India (Hybrid) Department: Product Development About the Role GHX is building a cutting-edge LLM-powered document understanding platform focused on classification, structured data extraction, and intelligent orchestration at scale. This is a high-impact AI engineering role where you will own the full lifecycle—from problem framing to production deployment . Initially, you will focus on prompt engineering and evaluation systems , building the quality foundation for AI performance. Over time, the role expands into agent orchestration, system architecture, and migration of rule-based systems to LLM-driven pipelines . A strong foundation in software engineering (5+ years) is essential. This role demands engineering rigor across both traditional system design and AI system behavior . Core Responsibilities 1. Prompt Engineering Design prompts for diverse document classification and extraction tasks Treat prompts as formal specifications (precise, structured, and edge-case-aware) Develop few-shot, chain-of-thought, and structured output templates Manage prompt lifecycle: versioning, testing, and rollback 2. LLM Output Evaluation Create and maintain ground truth datasets Build automated evaluation pipelines (precision, recall, field-level accuracy) Identify and resolve conceptually incorrect outputs despite surface correctness 3. AI Agent Orchestration Design multi-agent workflows for document processing Implement tool-use patterns and integrate MCP servers Optimize orchestration for scale and efficiency 4. Software Engineering Develop production-grade APIs and backend services Apply Clean Architecture / DDD principles Write maintainable, testable Python code Contribute to CI/CD, deployment, and observability systems 5. Stakeholder Collaboration Act as a bridge between business stakeholders and AI systems Translate product requirements into technical architectures Communicate system behavior, limitations, and quality

About the role 우리는 비즈니스를 성장시키고 관리하는 데 열정적이고 에너지가 넘치는 성실한 분을 찾고 있습니다. Enterprise Account Executive 역할은 맡은 고객 내에서 세일즈 전략을 수립하고 실행하여 매출 성장을 이루는 데 중점을 둡니다. 우리의 하이브리드 업무 방침에 따라 대한민국 서울 오피스로 출퇴근이 가능하신 분을 모시고자 합니다. (서울시 강남구 테헤란로 518) What you will be doing 적극적으로 세일즈 파이프라인을 찾고, 검증하며, 마감합니다. CTO, 엔지니어링 및 IT 리더, 기술 최종 사용자에게 전략적으로 접근합니다. 강력하고 효과적인 관계를 구축하여 성장 기회를 창출합니다. 솔루션 아키텍트 및 프로페셔널 서비스 팀과 협력하여 고객 만족을 달성합니다. 엔터프라이즈 생태계 파트너 영업 조직 및 채널 파트너와 긴밀히 협력하여 딜 규모를 극대화합니다. 잘 짜여진 세일즈 부트캠프, 고급 세일즈 트레이닝 및 리더십 개발 프로그램을 포함한 세일즈 교육에 참여합니다. What you bring to the table 빠르게 변화하고 경쟁이 치열한 마켓에서 5년 이상의 다이렉트 세일즈 경험, 신규 고객 확보 및 고객 확대 경험, 새로운 고객을 확보하고 복잡한 영업 프로세스를 운영해본 경험 영업 목표 초과 달성 경험 (President’s Club, Rep of the Year 등) 복잡한 엔터프라이즈급 소프트웨어의 비즈니스 가치를 명확히 설명할 수 있는 능력 비즈니스 챔피언을 구축할 수 있는 역량 경쟁적이고 성공에 대한 강한 열망을 가진 분 우수한 영어 활용 능력 Things we love 최대 소프트웨어 시장(데이터베이스)에서 경력을 개발하고자 하는 열정 세일즈 방법론 교육 이수 혹은 이를 활용한 실무 경험 (예: MEDDIC, SPIN, Challenger Sale) 데이터베이스, 소프트웨어 개발 및 오픈 소스 기술에 대한 친숙함 Why join now 새로운 직원의 역량 개발 및 지속적인 경력 개발에 대한 전폭적인 지원 최대 25%의 커미션 엑셀러레이터 MEDDIC 및 Command of the Message를 포함한 최고 수준의 세일즈 교육, 포괄적인 세일즈 부트캠프 및 개발 프로그램 신규 입사자 RSU (Restricted Stock Units) 및 ESPP (Employee Stock Purchase Plan) 관대하고 경쟁력 있는 복지 혜택 (10% 퇴직연금 적립, 최대 20주의 유급 출산 휴가, 가족 단체보험, 불임 치료 및 웰빙 지원) MongoDB’s Sales Culture MongoDB는 기술뿐만 아니라 세일즈 시장 진출 전략에서도 항상 발전하고 혁신하고 있습니다. 우리의 세일즈 리더십은 최고의 세일즈 팀을 구축하는 데 전념하고 있으며, 팀의 모든 구성원이 성공할 수 있도록 영감을 주고 지원합니다. 우리는 여러분이 성공적으로 딜을 성사시킬 수 있도록 지원할 뿐만 아니라, " Think Big and Go Far "라는 우리의 목표를 계속 발전시킬 수 있도록 여러분의 피드백과 의견을 원합니다. MongoDB 세일즈 팀의 중요한 일원으로서, 여러분은 수익성 있는 시장에 다가갈 수 있으며, 소프트웨어 산업에서 가장 성공적인 세일즈 리더들로부터 영업 방법을 배울 수 있습니다. About MongoDB MongoDB는 변화를 위해 만들어졌습니다. 우리는 고객과 구성원이 시장의 속도에 맞춰 혁신할 수 있도록 힘을 실어줍니다. 우리는 AI 시대를 위한 데이터 플랫폼을 새롭게 정의하여, 혁신가들이 소프트웨어로 산업을 창조하고, 변화시키고, 혁신할 수 있도록 합니다. MongoDB의 통합 데이터 플랫폼은 시장에서 가장 널리 제공되며 전 세계적으로 분산된 데이터 플랫폼으로, 조직이 기존 레거시 워크로드를 현대화하고, 혁신을 수용하며, AI를 마음껏 활용할 수 있도록 지원합니다. 클라우드 네이티브 플랫폼인 MongoDB Atlas는 AWS, Google Cloud, Microsoft Azure에서 모두 사용할 수 있는 유일한 전 세계 분산 멀티클라우드 데이터 플랫

OUR MISSION At Redwood, we empower our customers with lights-out automation for their mission-critical business processes. ABOUT US Redwood Software is the leader in full stack automation fabric solutions for mission-critical business processes. With the first SaaS-based composable automation platform specifically built for ERP, we believe in the transformative power of automation. Our unparalleled solutions empower you to orchestrate, manage and monitor your workflows across any application, service or server — in the cloud or on premises — with confidence and control. CORE VALUES One Team. One Redwood Make Your Own Weather Obsess over Customer Success Work the Problem Be Curious Own the Outcome Respect Each Other YOUR IMPACT We are looking for a Principal Engineer, Products & Platforms to join our Product engineering team to provide technical leadership across Redwood’s Workload Automation Platform, defining architecture, driving modernization, and influencing engineering strategy across multiple teams. You will be instrumental in the design, development, and enhancement of our platform, building high-quality, scalable, and secure software that powers enterprise data exchange for more than 1,000 customers worldwide. As a Principal Engineer, you will: Technical Leadership & Architecture: Define the path forward for complex engineering problems, establish best practices, lead design review and technology decisions, and mentor the team to excel, while driving the architecture, security, compliance, and observability of our Java/Spring Boot microservices. Platform and Infrastructure Ownership: Drive the deep understanding, architecture, and evolution of our core platform and infrastructure, focusing on resilience, communication between components, and scalability. Cross-Team Collaboration: Facilitate and drive cross-team collaboration with Product, QA, and other engineering groups to ensure end-to-end alignment and successful product deliv

Zoox is looking for an experienced software engineer to work on large-scale simulation pipelines used to validate the behavior of the Zoox self-driving vehicle. These are data and GPU intensive workloads built on Ray.io and Kubernetes. Given the massive scale and criticality of these pipelines, ensuring their reliability and efficiency has a significant impact on the company's ability to safely and quickly iterate on autonomy development. We are a small, scrappy team within the larger Autonomy organization. Although this role primarily involves off-vehicle pipelines, you will work closely with engineers developing the on-vehicle algorithms and models in our autonomy stack. We stay close to the end users - autonomy engineers - and think about the end to end use case for these validation pipelines. This is a hands-on role with a high degree of independence and ownership. You will be expected to contribute towards the framework’s architecture, reliability, efficiency, and grow its capabilities to support new use cases. You should have a track record of keeping production systems running with high availability. Experience with robotics or autonomous systems is not required but an understanding of the robotic data lifecycle is preferred. In this role, you will: Improve the cost efficiency, reliability, and performance of our validation and simulation pipelines Create production-grade APIs, SDKs, and tools to enable a varied set of validations of autonomous behaviors Improve the ML training pipelines supporting the autonomous behavior org Qualifications Bachelor’s degree in Computer Science or related field and 6+ years of industry experience Experience optimizing large-scale distributed systems for cost and efficiency Experience with AWS or similar providers Proficiency with Python and familiarity with C++ Bonus Qu

About Voyage AI Team at MongoDB Voyage AI team in MongoDB is building a best-in-class, general-purpose, domain-specific, and fine-tuned embedding models and rerankers to enable accurate, efficient unstructured data search and retrieval for RAG, recommendation, semantic search, and more. It is backed by a strong team of AI researchers from Stanford, MIT, Berkeley, Princeton, and CMU, who have conducted over five years of cutting-edge research on training embedding models. Voyage AI was acquired by MongoDB recently, and is now integrating the SOTA embedding models with MongoDB's data platform to create powerful end-to-end solutions. Position Overview We are seeking a Senior Research Scientist to join our team and contribute to the development of next-generation AI models. This position offers a unique opportunity to work on challenging problems at the intersection of machine learning research and practical deployment of large neural networks. We are looking to speak to candidates who are based in Palo Alto for our hybrid working model. Responsibilities Conduct cutting-edge research in artificial intelligence, from frontier LLMs to embedding models and rerankers Innovate in next-generation information retrieval and LLM agent paradigm Collaborate closely with other research scientists and research engineers as well as peers across the organization Qualifications PhD degree in Computer Science or related field Strong background in machine learning, deep learning, and natural language processing Familiarity with training distributed training of neural networks for language and visual understanding What We Offer Opportunity to work on real-world problems at the cutting edge of AI research Opportunity to utilize research vision to innovate the entire company and make real-world impact Exposure to the full lifecycle of AI model development, from research to production Our compensation (base + equity) for this position is competitive with frontier AI labs About MongoDB

Individuals in the Customer Success Manager role have a passion for technology and the ambition to dive head-first into new challenges. We are looking for someone who can thrive with a high level of ambiguity and operate autonomously while maintaining a customer centric approach and helping to build the program. In this role you will also become a main point of contact for MongoDB end users by leveraging your technical and account management skills as well as acting as the account team leader across Sales, Professional Services, Solutions Architects, etc. We are looking to speak to candidates who are based in Germany for our hybrid working model. Our ideal candidate will have 7+ years experience working in Customer Success, Technical Account Management, Professional Services or other similarly customer-centric role for a technical product (ideally consumption based) 4+ years experience being accountable for customer health and revenue realization for a defined book of business/portfolio of accounts for Forbes Global 2000 customers A background and passion for advocating on behalf of your customers - this role should act as an extension of our customers team within MongoDB A mind for technology - we’ll teach you about MongoDB and databases, but our customers and product are inherently technical and you should have an aptitude and curiosity to learn about those concepts The ability to act with a high level of autonomy, you will be expected to take full ownership of your customer portfolio and make key decisions to drive effective customer outcomes; including deciding when to include our executive team or c-suite in customer escalations, how to de-risk or de-escalate customer issues and conflict and advocating to internal teams including sales, professional services, etc. An entrepreneurial mindset - you will be required to both deviate from established procedure and often build entirely new process or practices to ensure we best serve this customer segment A tea

TextNow is on a mission to make communications affordable and accessible for everyone. As a full MVNO operating our own mobile core network over LTE and 5G NSA, we have the unique advantage of controlling our network infrastructure end-to-end. We operate the HSS, PGW, and other critical network functions, giving us the flexibility to innovate and deliver exceptional service to millions of users. About the Role We are looking for a hands-on Tech Lead, Mobile Core Network Engineering to own the health and evolution of our mobile core platform. Our cloud-hosted core runs in AWS, with our mobile core vendor providing managed services for day-to-day operations. This role is the critical bridge between our vendor’s Managed Services team and our internal engineering, product, and operations teams. You’ll be the technical owner of the mobile core, combining deep technical expertise with strong coordination skills. You won’t just manage vendor deliverables—you’ll dive into the technical details, challenge approaches when needed, and ensure our core network evolves to meet the demands of a growing subscriber base. This role has a clear growth path into technical and people leadership as the team scales. A note on background: We know that people who have operated a mobile core at scale are rare. If you’re a strong SRE or infrastructure engineering leader with deep networking knowledge and a track record of managing complex, vendor-operated platforms, we want to hear from you—even if you haven’t worked with 3GPP technologies before. We’ll invest in helping you build the telco-specific domain knowledge. What You'll Do Own the Mobile Core Platform: Take end-to-end accountability for the health, performance, and evolution of TextNow's mobile core (HSS, PGW, PCRF, and related functions running in AWS). Drive capacity plann

TextNow is on a mission to make communications affordable and accessible for everyone. As a full MVNO operating our own mobile core network over LTE and 5G NSA, we have the unique advantage of controlling our network infrastructure end-to-end. We operate the HSS, PGW, and other critical network functions, giving us the flexibility to innovate and deliver exceptional service to millions of users. About the Role We are looking for a hands-on Tech Lead, Mobile Core Network Engineering to own the health and evolution of our mobile core platform. Our cloud-hosted core runs in AWS, with our mobile core vendor providing managed services for day-to-day operations. This role is the critical bridge between our vendor’s Managed Services team and our internal engineering, product, and operations teams. You’ll be the technical owner of the mobile core, combining deep technical expertise with strong coordination skills. You won’t just manage vendor deliverables—you’ll dive into the technical details, challenge approaches when needed, and ensure our core network evolves to meet the demands of a growing subscriber base. This role has a clear growth path into technical and people leadership as the team scales. A note on background: We know that people who have operated a mobile core at scale are rare. If you’re a strong SRE or infrastructure engineering leader with deep networking knowledge and a track record of managing complex, vendor-operated platforms, we want to hear from you—even if you haven’t worked with 3GPP technologies before. We’ll invest in helping you build the telco-specific domain knowledge. What You'll Do Own the Mobile Core Platform: Take end-to-end accountability for the health, performance, and evolution of TextNow's mobile core (HSS, PGW, PCRF, and related functions running in AWS). Drive capacity planning and

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: As a Lead Applied Value Engineer, you are spearheading our mission of solving critical operational challenges for enterprise customers. You will be working with strategic clients to understand their unique objectives, from modernizing legacy systems to optimizing finance processes and deploying an agentic business. In partnership with the Celonis Sales Teams, you have full responsibility for the end-to-end value journey of our customers. You are our customers' trusted advisor and help them drive adoption and realize measurable business value using Celonis. You can expect to blend process and industry expertise with a solution-first mindset, analyzing customer data and deploying tactical solutions. By using the Celonis Process Intelligence platform to feed critical operational context to AI and LLM tools, you will help our customers move past simple automation to deploy intelligent, autonomous agents that solve complex business bottlenecks. You’re the Celonis expert, connecting the dots between their pain points and how our platform can solve the problem. You’d be managing weekly cadences, QBRs, and value plans to demonstrate the value of our solutions to VP+ level executives. Key Responsibilities: Pre- and Post-Sales Execu

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. Appian Customer Success is obsessed with delivering exceptional customer outcomes and driving mission-critical business impact. Grounded in our core values of Excellence and Intensity, we act as elite technical advisors to our commercial clients. By joining this high-performance team, you will champion a culture of candid communication and excellence while accelerating global adoption of our AI-Powered Process Automation platform. As a Principal Consultant, you will occupy a leadership position at the intersection of enterprise business strategy and complex technical delivery. This role matters now more than ever because you won't just execute projects - you will define the client experience and how they are delivered. You will partner directly with Appian Architects and Technical Delivery Managers, lead large-scale consulting initiatives, and serve as a vital mentor to the next generation of engineers, ensuring our clients achieve world-class Enterprise-Grade Orchestration. This role is based at our HQ in McLean, VA. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 4 - 5 days per week to foster that culture, ensure we thrive through shared ideas and teamwork, and maximize opportunities to connect with the exceptional people across Appian. While working in-person with customers is our main priority, we also believe the office environment enables more opportunities to celebrate wins, collaborate effectively, and

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's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Node Infra owns the full lifecycle of accelerator capacity at Anthropic. We ingest and provision compute from all major cloud providers and from datacenters custom-built for Anthropic, stand up and scale the clusters behind one of the industry's largest AI compute fleets, and build the health, diagnostics and repair automation that keep every GPU, TPU and Trainium node in the fleet usable and ready to power Anthropic's frontier AI research. Key responsibilities Own the technical strategy and roadmap for node lifecycle management - ingestion, bring-up, health checking, and automated repair Drive cross-team initiatives to build and scale AI clusters across multiple clouds and accelerator families Design and operate the systems that detect, isolate, and remediate unhealthy hardware automatically, driving up fleet MTBI and minimizing stranded capacity Define infrastructure architecture, ensuring the hardest problems get solved - whether by you directly or by working through others Work closely with cloud providers and internal research/inference/product teams to shape long-term compute, data, and infrastructure strategy Establish and evolve operational excellence practices (incident response, postmortem culture, on-

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 We run one of the industry's largest AI compute fleets, spanning multiple cloud providers and datacenters, to train, research, and serve frontier AI models. Those fleets run on Kubernetes, and the Kubernetes Platform team owns the control plane that makes them work. We are operating at a scale where the defaults stop working. We own the scheduler and extend it to place topology-sensitive ML workloads across thousands of accelerators at once. We scale the control plane itself — apiserver, etcd, controllers — so it stays responsive as object counts and node counts grow by orders of magnitude. And we build the core cluster services every workload depends on, like service discovery, so they hold up under the same pressure. We make sure the control plane is fast, correct, and always available. Your work will directly determine whether Anthropic can keep reliably and safely training frontier models as our compute footprint continues to grow. Key responsibilities Own, operate, and extend the Kubernetes scheduler for Anthropic's accelerator fleets, including custom scheduling plugins and policies for gang scheduling, topology awareness, and preemption Scale the Kubernetes control plane (apiserver, etcd, controller-manager) to support clusters far beyond typical limits, and find the next bottleneck before it finds us Design, build, and operate core cluster services such as service discovery that every workload in the fleet depends on Build and maintain custom controllers, operators, and CRDs Partner with research, training, and inference to understand workload shapes and turn their requirements into platform capabilities Collabo

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's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Cluster Infra owns the full lifecycle of compute clusters at Anthropic. We build agent-driven automation for cluster provisioning and lifecycle management across all major cloud providers and our own datacenters. Our systems stand up clusters that are interconnected with high bandwidth, secure-by-default, and able to automatically drain and recover in response to failure. As a Staff engineer on this team, you'll set the technical direction for how Anthropic brings compute online - at a moment when the scale of that compute is growing faster than at almost any company in the world. Key responsibilities Own the technical strategy and roadmap for agent-driven cluster lifecycle management - provisioning, updates and decommissioning Partner across teams to ensure new compute capacity is ingested on time Align with partner teams on physical build-out and leverage cloud solutions to deliver high-bandwidth inter-cluster connectivity Collaborate with security owners to ensure clusters are provisioned secure-by-default Define and drive strategy on cluster scalability, homogeneity and fault tolerance Work closely with cloud providers and internal research, inference and product teams to shape long-term compute, data, and i

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 Sr. Staff Site Reliability Engineer (Federal) to join our team. This is a fully onsite role based in Crystal City, Virginia, reporting to the Manager, Site Reliability Engineering in the Government Cloud department. You will join the team responsible for building the world’s largest cloud security platform, enabling organizations worldwide to harness speed and agility. In this critical role, you will maintain our commitment to security by managing operations within classified environments, ensuring our multitenant architecture remains the leader in cloud security. What you’ll do (Role Expectations) Manage operational tasks for products in US Government classified environments, including deployments, on-call duties, incident management, and participation in regular deployment syncs Oversee all cloud infrastructure components such as AWS, private cloud environments, containers, and VMs to ensure stab

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We’re looking for an early career Software Engineer to join our Infrastructure team to accelerate building and scaling our innovative systems that support our growing identity platform. In this role, you will build the next-generation infrastructure that underpins all systems at CLEAR. The ideal candidate for this role will approach challenges with an eye toward reliability, simplicity, and scalability. What You'll Do: Develop and maintain a streamlined process for engineers to effortlessly build and deploy scalable and reliable software-defined networking solutions on AWS. Enhance our compute platform (Kubernetes) with new functionalities and features, focusing on AWS networking services and concepts such as VPCs, Route Tables, Security Groups (SGs), ALBs/ELBs, and Route53, optimize service communication and management. Collaborate across engineering teams to advocate for and implement best practices in observability, utilizing tools like Splunk or Datadog to ensure robust network monitoring. Act as a product owner for our infrastructure, collecting feedback and requirements from engineering teams to address pain points and develop solutions, particularly in the realm of AWS networking and cloud-native design principles. What you're great at: 0-2 years of experience in infrastructure and platform development and AWS cloud services. Proficient in Python, with understanding of Kubernetes and container orchestration tools like EKS and ECS. Understand AWS networking services, including VPC design, SGs, NATGWs, ALBs/ELBs, Rout