Cloud Platform Engineering Jobs

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Senior Data Engineer will be responsible for delivering high quality modern data solutions through collaboration with our engineering, analysts, data scientist, and product teams in a fast-paced, agile environment leveraging cutting-edge technology to reimagine how Healthcare is provided. You will be instrumental in designing, integrating, and implementing solutions on-premise as well supporting migrations of existing workloads to the cloud. The Senior Data Engineer is expected to have extensive knowledge of modern programming languages, designing and developing data solutions. The position is open in a data engineering team that is responsible for processing payer files into our Data Warehouse. Required Qualifications 6&#43; years of experience working with SQL and relational database management systems 3&#43; years of experience in Cloud Data Engineering Platforms such as AWS, GCP, Azure, Databricks, Snowflake etc. 3&#43; years of experience in on-prem Data Engineering Platforms such as Microsoft SQL Server, Oracle, Teradata etc. Programming and modifying code in languages like SQL, Python, and PySpark to support and implement Cloud based and on-prem data warehousing services.</spa

Role Overview Build reliable software services that power products, platforms, and business decisions. As a Senior Software Developer, you’ll design and deliver scalable applications, backend services, and integrations that perform well in production and evolve with changing business needs. You’ll apply strong software engineering practices across APIs, data-intensive applications, cloud services, AI-enabled solutions, and deployment pipelines. You’ll help shape technical solutions, improve system reliability, and contribute to a high-quality engineering culture. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Design and develop scalable backend services and applications using Python or TypeScript. Lead the development of APIs, integrations, reusable software components, and AI-enabled features. Build reliable solutions for data ingestion, manipulation, service-to-service communication, and intelligent automation. Apply AI technologies and modern software engineering practices to improve product capabilities, developer productivity, and operational efficiency. Make sound technical decisions around architecture, performance, security, scalability, and maintainability. Deploy and operate applications using AWS services and CI/CD practices while improving testing, monitoring, documentation, and delivery standards. These are the essentials you’ll need to get an interview 5+ years of professional experience developing and delivering production software. Strong hands-on experience with Python; TypeScript or similar languages is also valuable. Proven experience building backend services, APIs, integrations, and service-oriented applications. Experience applying AI technologies, such as generative AI, machine learning services, intelligent automation, or AI-enabled application features. Strong understanding of software design principles, testing, debugging, performance optimization, and secure development. Experience working with cloud platfor

Role Overview Build the software services that power products, platforms, and better business decisions. As a Software Engineer II, you’ll develop scalable backend applications, APIs, integrations, and AI-enabled features using Python and cloud technologies. You’ll contribute to solutions from design through production, helping improve reliability, performance, security, and developer productivity. This is an opportunity to solve meaningful engineering challenges, grow your technical ownership, and collaborate with experienced engineers across the development lifecycle. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Design and build scalable backend services, REST APIs, integrations, and reusable software components using Python and, where relevant TypeScript. Develop data ingestion, transformation, service-to-service communication, and automation capabilities that support reliable product experiences. Contribute to AI-enabled features and use AI development tools responsibly to improve coding, testing, research, documentation, and delivery. Apply sound engineering practices across architecture, performance, security, testing, debugging, and maintainability. Deploy and operate services using AWS and CI/CD workflows, contributing to monitoring, troubleshooting, documentation, and continuous improvement. Partner with engineers and cross-functional colleagues through design discussions, code reviews, technical problem-solving, and knowledge sharing. These are the essentials you’ll need to get an interview 3–5 years of professional experience building and delivering production software in an agile environment. Strong hands-on experience with Python and backend development, including APIs, integrations, or service-oriented applications. Experience working with cloud platforms, preferably AWS, and familiarity with deployment or CI/CD practices. Working knowledge of software design principles, testing, debugging, performance optimization, an

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. The Innovation, Technology and Products - Applied AI and Data Science organization builds AI, machine learning, and analytics systems for hard semiconductor engineering problems. We work directly with product engineering, reliability, test, manufacturing, and systems teams. Our engineers pair semiconductor domain knowledge with modern ML engineering, cloud platforms, and agentic AI. Everything we build is meant to run in production, not stop at a prototype. We are looking for a Lead Engineer, Applied AI and Agentic Systems. You will own the architecture and drive delivery of AI systems that engineers rely on every day. Problems will reach you vague. You will turn them into designs, plans, and working software. You bring depth in machine learning plus real strength in software engineering, cloud deployment, and agentic AI. You set direction, review designs, question assumptions, and grow the engineers around you. When a problem gets genuinely hard, you dig into the code alongside the team. If that sounds like your kind of work, we would like to meet you! Responsibilities: Set the architecture and technical direction for our applied AI, ML, and agentic AI work. Design systems end to end: data pipelines, features, model development, evaluation, inference services, and monitoring. Build the models engineers act on — prediction, diagnosis, optimization, and decision support for semiconductor applications. Ship agentic AI for engineering analysis, knowledge retri

Spaulding Ridge is an advisory and IT implementation firm. We help global organizations get financial clarity into the complex, daily sales, and operational decisions that impact profitable revenue generations, efficient operational performance, and reliable financial management. At Spaulding Ridge, we believe all business is personal. Core to our values is our relationships with our clients, our business partners, our team, and the global community. Our employees dedicate their time to helping our clients transform their business, from strategy through implementation and business transformation. As a Data Solutions Architect , you will lead the strategy, architecture and delivery of enterprise-scale data and analytics solutions for our clients. Working across data architecture, software engineering, cloud platforms, analytics engineering and client advisory, you will translate business priorities into secure, scalable, well-governed and cost-effective solutions. You will partner with executive stakeholders, business leaders and technical teams to define data roadmaps and target-state architectures, evaluate technology options and guide delivery from proposal and estimation through to implementation, enablement and support. You will help clients modernise fragmented data environments and establish trusted data products, intuitive analytics experiences and reusable engineering capabilities that deliver measurable business value. This role also provides technical leadership across multiple projects and teams. You will mentor engineers, facilitate architecture reviews and technical workshops, establish standards and best practices, and act as a trusted adviser who can challenge assumptions, identify opportunities and influence strategic decisions. Key Responsibilities: Lead the design and governance of modern data warehouses, data lakes, lakehouse platforms, semantic layers, dimensional models, master data strategies and analytic

Location: Doha | Practice Area : Technology & Engineering | Type: Permanent Protect critical data. Strengthen controls. Reduce information risk. The Role Capco is looking for a Data Protection & DLP Consultant to help our clients protect sensitive and critical information across complex technology environments. This is an opportunity to work on complex data protection challenges within financial services, helping clients strengthen controls, reduce data leakage risks, and meet security, governance, and regulatory requirements. What You’ll Do Design and implement a comprehensive, multi‑layered data protection strategy incorporating data classification, data discovery, encryption controls, and DLP technologies. Design, implement, and enhance Data Loss Prevention policies, controls, processes, and technical solutions across enterprise environments. Identify and classify sensitive data, translating business and regulatory requirements into practical rules and controls. Monitor and assess alerts and incidents, supporting investigation, remediation, tuning, and continuous improvement. Work with security, data, risk, technology, and business teams to integrate DLP controls across endpoints, networks, cloud platforms, and applications. Maintain documentation, reporting, and governance processes associated with data protection and DLP operations. Support governance, reporting, control effectiveness assessments, and the development of sustainable data protection practices. What We’re Looking For Strong experience in Data Loss Prevention, information protection, data security, or related cybersecurity and data disciplines. Practical knowledge of DLP technologies, data classification, information protection, policy management, monitoring, and incident management. Experience implementing or managing DLP controls across endpoints, email, networks, cloud services, and enterprise applications. Strong understanding of data governance, security controls, risk management, priv

A Career with Point72's Technology Team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. WHAT YOU'LL DO Build software applications, integrations with SaaS solutions, and deliver enhancements for projects supporting enterprise systems mainly HR, Payroll, Finance and internal P72 teams. Work closely with business stakeholders to develop software solutions using test-driven and agile software development methodologies. Be responsible for system upgrades and features supporting resiliency and capacity improvements, automation and controls, and integration with internal and external vendors and services. Contributing to architecture of core platforms and accelerating modernizing leveraging AI tools Work with DevOps teams to manage and resolve operational issues and leverage CI/CD platforms while following DevOps practices within the team and projects. Continuously improve the platforms using the latest technologies and software development ideas. Participate in initiatives to transition legacy applications to cloud platforms, enhancing stability, scalability and

Location: New York City or San Francisco - 4 days in office About the Role We are looking for a highly technical Senior Security Engineer who is passionate about protecting data across modern SaaS, cloud, endpoint, and analytics environments. This role is ideal for someone who enjoys solving complex data security challenges through engineering, automation, and AI rather than relying solely on commercial tools. You will help build, scale, and continuously evolve Sigma’s data security capabilities across SaaS applications, cloud platforms, endpoints, collaboration tools, AI systems, and data warehouses. You will be joining a dynamic and highly technical Security Engineering team at Sigma. This is a hands-on engineering role for builders, innovators, and problem-solvers who want to create scalable security solutions that protect the organization's most critical asset - data. What You'll Do Design, build, and maintain security platforms, services, APIs, automation, and internal tooling that protect Sigma's data across cloud, SaaS, endpoint, and analytics environments. Develop scalable solutions for data discovery, classification, governance, access controls, monitoring, and protection using modern engineering practices and automation. Build and mature capabilities around CASB, DLP, DSPM, SSPM, insider risk, and data access governance to reduce the risk of unauthorized access, sharing, or exposure of sensitive information. Build and maintain DLP controls and tooling across multiple cloud, OS environments and decentralized datasets, implementing and tuning prevention capabilities that protect against sophisticated data security incidents. Drive automation across DLP engineering and operations by leveraging LLMs, agentic AI, and an automation-first mindset to streamline workflows, reduce manual effort, and scale data protection coverage. Design and implement security controls across SaaS applications, collaboration platforms, endpoints, and business-critical

Our Purpose Mastercard powers economies and empowers people in 200&#43; countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead Software Engineer Overview Mastercard is seeking a Technical Lead to join the Cardholder Services, Global Benefits team in Pune, India. The team develops next-generation products and services that enable cardholders to securely and efficiently access and use benefits across digital channels. Role As a Technical Lead, you will provide hands-on technical leadership across the design, development, integration, testing, and delivery of CHS applications. You will lead technical design and architecture decisions across Java/Spring Boot services, React/Angular applications, APIs, databases, event-driven integrations, and cloud platforms. You will drive engineering best practices, technical evaluations and PoCs, resolve complex technical issues, and ensure solutions are scalable, secure, resilient, and production-ready. You will collaborate with Product, Engineering, Architecture, and QE teams and provide technical guidance and mentoring to engineers. Skills / Requirements Strong hands-on experience in Java, J2EE, Spring, and Spring Boot Strong hands-on experience with React and/or Angular Deep experience with REST APIs, Web Services, and microservices architecture Strong experience with Oracle/SQL, including query optimization and data validation Experience with K

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 - Full Stack Position Description: We are seeking an experienced Staff Engineer to provide technical leadership for the Advanced Integration Builder team within Okta. This team builds and maintains the backend services, provisioning frameworks, authentication connectors, and next-generation Entitlement Management engines that let Okta customers secure, integrate, and govern access to thousands of third-party enterprise applications — from modern cloud platforms (Microsoft Office 365, Workday, Salesforce, AWS, ServiceNow) and AI agentic systems to legacy on-prem systems . As a Staff Engineer, you will set technical direction across multiple integrations and the shared frameworks they depend on, resolve the hardest cross-app reliability and architecture problems — rate limiting at scale, backward compatibility — and raise the engineering bar for the team. This is a backend-intensive role centered on distributed systems, API client architecture, and operational excellence at scale. Day-to-day frontend involvement is still light relative to backend work, but you'll need decent React and JSP experience to guide and occasionally hand-build the new feature requests. Job Duties and Responsibilities: - Technical Leadership: Independently drive the design and execution of complex, ambiguous initiatives spanning multiple app integrations or shared frameworks used across dozens of connectors. - Architecture & Design: Lead technical design di

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role We are seeking a Senior Privacy Engineer to lead the design and implementation of privacy controls across software, cloud, AI, and connected device platforms. The Privacy Engineer will work closely with Design, Product Security, Legal, Compliance, and Product Management teams to ensure personal data is collected, processed, stored, and shared in compliance with applicable privacy regulations, including GDPR, CCPA/CPRA, and other global privacy frameworks. Responsible for establishing and leading privacy engineering practices across the organization, driving privacy-by-design adoption, defining technical privacy strategy, and overseeing privacy risk management for products, services, cloud platforms, AI systems, and connected devices. The ideal candidate combines strong technical expertise with a deep understanding of privacy regulations and privacy engineering practices. What You Might Do Implement Privacy by Design and Privacy by Default principles throughout the software development lifecycle. Conduct privacy impact assessments (PIAs), data protection impact assessments (DPIAs), and

Lead AI Architect/Strategist Location: United States - Remote Clearance: Ability to obtain and maintain a Public Trust LTS is seeking a Lead AI Architect / Strategist to define and lead the architecture, strategy, and implementation of next-generation AI solutions. This role will drive enterprise AI transformation and adoption by enabling modernization workstreams that are focused on scalable AI platforms. This position will align stakeholders and delivery teams by designing Generative AI powered capabilities, guiding solutions that leverage Large Language Models (LLMs), defining Retrieval-Augmented Generation (RAG) pipelines, producing Agentic AI offerings and architecture, and delivering capabilities for advanced analytics and related solutions. The ideal candidate is a strategic technology leader with deep expertise in AI architecture and its role in Enterprise Architecture. This leader is an expert in cloud platforms, enterprise systems, and data transformation who can bridge business objectives with innovative technical solutions. This individual will also work across engineering, data, product, cybersecurity, and leadership teams to establish AI roadmaps, architecture standards, and secure AI solutions that deliver measurable mission and business value. What You’ll Do Implement and manage the architecture definition and realization activity using formal delivery and lifecycle methods. Collaborate closely with stakeholders to develop a deep and thorough understanding of the client enterprise and establish guidance and governance for AI build and delivery cycles. Define and execute AI architecture strategies, technical roadmaps, and modernization approaches aligned with organizational goals. Design scalable AI platforms and solutions leveraging Generative AI, LLMs, RAG, AI agents, machine learning, and automation capabilities. Architect intelligent AI systems that integrate models, data platforms, enterprise applications, and APIs. Develop architectu

GAQ127R40 Team: IT Infrastructure and Operations About the Role At Databricks Information Technology, we are a product-led organization transforming how we work—from the ease of using our IT services to the applications we develop to scale seamlessly during rapid growth. As a Site Reliability Engineer (SRE) , you will bridge the gap between software engineering and systems architecture. You will be a core contributor to the IT Infrastructure team, owning the evolution of core infrastructure and observability platforms. This role requires a strong software engineering mindset and deep technical breadth to deliver high-quality, scalable solutions for "immature" system problems. Your focus will be on building resilient, automated infrastructure that empowers development teams and ensures our cloud environment is cost-optimized, secure, and highly available. The Impact You Will Have Architect and Automate: Design and deploy production-grade infrastructure on cloud platforms (AWS/Azure) using Infrastructure as Code (IaC) tools like Terraform or Pulumi. Reliability and Performance Engineering: Optimize system performance, architecture, and scaling to ensure maximum uptime and minimal latency for critical IT services. CI/CD Excellence: Architect robust deployment pipelines (e.g., GitHub Actions), managing both hosted and self-hosted runners for specialized build requirements. Observable by Default: Create underlying infrastructure to ensure new internal applications are secure and have logging, metrics and alerts enabled by default. Agentic ToolingI: Build internal AI plugins, and automation scripts to streamline developer workflows and enhance operational efficiency. Incident Response: Focus on subsequent data usage, incident management workflows, and creating necessary dashboards to maintain service health. Participate in a shared on-call rotation, leading rapid incident response and technical troubleshooting for production outages.Facilitate blameless post-mortems

About the Role We are seeking a Staff Enterprise Architect, Data to lead the strategy, design, and modernization of our enterprise data landscape. This role operates at the intersection of data architecture, engineering, and AI enablement, defining solutions to integrate our Data Lake and Data Warehouse across multi-cloud platforms. Over the next 12-18 months, you will enable self-service data access and natural language query capabilities for business users. You will architect Master Data Management and data lineage frameworks ensuring AI models operate on high-quality, governed data. You will also evaluate and implement AI-powered tools to automate data quality monitoring and enhance data security. We're looking to speak with candidates based in the San Francisco Bay Area for our hybrid working model. Key Responsibilities Data Strategy & Roadmap Design semantic layer architecture standardizing business metrics enterprise-wide. Define governance guardrails ensuring natural language queries access validated master data sources Develop Master Data strategy for Customer and Product domains (phases 1-2), Finance and People to follow. Define golden record requirements, stewardship models, and system-of-record hierarchy. Partner with business owners on master data governance Define cross-cloud data integration strategy and reference architecture. Specify patterns (federation, replication, abstraction layer) balancing performance, cost, and data freshness. Document trade-offs and recommend implementations for batch and near-real-time use cases Develop 12-24 month data architecture roadmaps for Finance, Sales, Product, and People. Identify capability gaps and recommend technology investments with business value and effort estimates Systems Design & Solution Leadership Evaluate AI-powered data observability platforms for quality monitoring, pipeline failure prediction, and data classification. Define requirements, lead vendor POCs, and establish integration patterns

ABOUT THE PYTHON DATA ENGINEER ROLE: We are looking for a skilled Python Data Engineer to join our team and work on building high-performance applications and scalable data solutions. In this role, you will be responsible for designing, developing, and maintaining robust Python-based applications, optimizing data pipelines, and integrating various APIs and databases. This is more than just a coding role—it requires strategic thinking, creativity, and a passion for data-driven decision-making to drive results and innovation. KEY RESPONSIBILITIES: Develop, test, and maintain efficient Python applications. Write optimized SQL queries and work with relational databases to manage and analyse large datasets. Implement and integrate APIs, web scraping techniques, and database queries to extract data from various sources. Design, develop, and maintain ETL pipelines for efficient data extraction, transformation, and loading. Collaborate with cross-functional teams to understand technical requirements and deliver high-quality solutions. Ensure code quality, performance, and scalability through best practices and code reviews. Stay updated with the latest advancements in Python, data engineering, and backend development. REQUIRED QUALIFICATIONS: 3–5+ years of expertise in Python is a must have. Proficiency in Python frameworks and libraries such as Pandas, NumPy, and Scrapy. Experience with Data Visualization tools such as Power BI, Tableau Strong understanding of relational databases and SQL. Experience working with cloud platforms such as AWS Strong problem-solving skills and the ability to work in a collaborative team environment. Bachelor / Master degree in Computer Science, Engineering, or a related field. WHY JOIN US? Highly inclusive and collaborative culture built on mutual respect. Focus on core values, initiative, leadership, and adaptability. Strong emphasis on personal and professional development. Flexibility to work remotely