Cloud Platform Engineering Jobs

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

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

About Dot Collective We are a new generation consultancy based across UK and EU and founded on the premises of the engineering excellence and empowering people to make an impact. We work with all modern tech stacks and typically run agile scrum on all our projects. About you Are you passionate about data and its transformational powers? Do you like being able to make a huge difference in a limited period of time? We might be just the right place for you. Your key skills and capabilities: Gathering and documenting business and project requirements Managing stakeholders of differing levels Analysing and profiling large and complex datasets Managing a team backlog using tools like Jira or Azure DevOps Agile ways of working Familiar with Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) systems Creating conceptual, logical and physical data models Creating mapping specifications for data migrations Coordinating User Acceptance Testing (UAT) with business stakeholders Excellent SQL skills Knowledge of python (pandas) Experience with Cloud platforms Creating data dashboards using Tableau, PowerBI or Qlik and story telling We expect you to work closely with business to understand their current data problems, pain points and to know how to analyse and cleanse their data. Also, we expect you to design data storage solutions and be a good communicator with your technical team. Our promise to you We will always see you as a human being and will do our very best to support your needs and wellbeing – well-designed co-working and collaboration spaces, remote working patterns that work for you, parenting leave, sabbaticals and ability to work on personal projects. We believe that a geled team is worth its weight in gold – we will do everything we can to avoid breaking well-performing teams. Whilst continuity across every project is no

About Dot Collective We are a new generation consultancy based across UK and EU and founded on the premises of the engineering excellence and empowering people to make an impact. We work with all modern tech stacks and typically run agile scrum on all our projects. About you Are you passionate about data and its transformational powers? Do you like being able to make a huge difference in a limited period of time? We might be just the right place for you. Your key skills and capabilities: Gathering and documenting business and project requirements Managing stakeholders of differing levels Analysing and profiling large and complex datasets Managing a team backlog using tools like Jira or Azure DevOps Agile ways of working Familiar with Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) systems Creating conceptual, logical and physical data models Creating mapping specifications for data migrations Coordinating User Acceptance Testing (UAT) with business stakeholders Excellent SQL skills Knowledge of python (pandas) Experience with Cloud platforms Creating data dashboards using Tableau, PowerBI or Qlik and story telling We expect you to work closely with business to understand their current data problems, pain points and to know how to analyse and cleanse their data. Also, we expect you to design data storage solutions and be a good communicator with your technical team. Our promise to you We will always see you as a human being and will do our very best to support your needs and wellbeing – well-designed co-working and collaboration spaces, remote working patterns that work for you, parenting leave, sabbaticals and ability to work on personal projects. We believe that a geled team is worth its weight in gold – we will do everything we can to avoid breaking well-performing teams. Whilst continuity across every project is no

GAQ327R265 About the Role At Databricks Information Technology, we are a product-led organisation transforming the way we work, from how easy it is to use our IT services to the applications we develop to help us scale seamlessly amid incredible growth. As an IT Software Engineer (Infrastructure) , you will be a core technical contributor on the IT CorpEng Infrastructure team, owning and driving the evolution of our core infrastructure and observability platforms. This role requires a strong software engineering mindset, deep technical breadth across SRE and infrastructure worlds, and the ability to deliver high-quality, scalable solutions for currently "immature" system problems. You will be responsible for building resilient, scalable, and automated infrastructure that empowers our development teams. As a member of the team, you will bridge the gap between software engineering and systems architecture, ensuring our AWS environment is cost-optimised, secure, and highly available. The impact you will have: Automate: Develop and deploy production-grade infrastructure on cloud platforms (AWS preferred) using Infrastructure as Code tools like Terraform or Pulumi. Orchestration: Deploy, manage, and scale containerised workloads using Kubernetes (EKS/AKS), focusing on security, reliability, and resource efficiency. CI/CD Excellence: Build and maintain robust deployment pipelines using GitHub Actions, including both cloud-hosted and self-hosted runners for specialised build requirements. Drive "Observable by Default" Frameworks: Implement infrastructure standards to ensure new internal applications are secure, with logging, metrics, and tracing configured out of the box. Tooling, Scripting & AI: Build internal CLI tools, AI-assisted workflows, and automation scripts to streamline developer workflows and reduce manual toil. Partner Cross-Functionally: Collaborate with Security, Engineering, Infrastructure, and Support teams to execute technical projects aligned with bu

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: We are seeking a talented and motivated Infrastructure Security Engineer to join our security team. In this role, you will design, implement, and maintain secure cloud and hybrid infrastructure, and ensure the integrity of our cloud-native applications. This role focuses on securing critical infrastructure across multi-cloud and hybrid environments, with work that may span platforms such as SpaceXSI, X Social, X Money and related systems. You’ll operate with an automation-first mindset: building secure foundations, hardening platforms at scale, and partnering closely with engineering teams so security is embedded in how we build and run systems—not bolted on after the fact. RESPONSIBILITIES: Cloud & infrastructure security Design and implement secure cloud architectures across multiple cloud platforms (e.g., AWS, GCP, Azure) Build and secure mission-critical applications in hybrid cloud and on-premises environments Develop and maintain Infrastructure as Code (IaC) templates with embedded security controls Assist with regular security assessments and audits of cloud infrastructure and services Implement and manage cloud security tools and services (e.g., CSPM,

AI Tech Lead – Manager Experience- 8-12 years Job Overview: We are seeking a highly experienced AI Tech Lead to design, develop, and deliver scalable AI-driven applications while leading cross-functional teams. The role involves end-to-end ownership of AI solutions, including architecture design, deployment, and optimization, ensuring alignment with business objectives. The candidate will collaborate with stakeholders, data engineering teams, and product management to build enterprise-grade AI systems leveraging modern cloud and AI technologies. Key Responsibilities / (Person Specifications): Lead implementation and delivery of AI applications across teams. Design end-to-end AI architectures integrating open-source and enterprise tools. Translate business requirements into scalable AI solutions. Define architecture roadmaps and best practices. Build data pipelines, CI/CD, and monitoring systems. Deploy scalable systems using Docker and Kubernetes. Ensure performance, scalability, and security. Mentor teams and drive knowledge sharing. Key Skills / Job Specifications (Mandatory): AI frameworks: LangGraph, AutoGen, CrewAI. Strong Python with TensorFlow, PyTorch, Keras. Knowledge of NLP & Deep Learning (RNN, CNN, LSTM, Transformers). Cloud platforms: AWS / Azure / GCP. Docker, Kubernetes, CI/CD tools. Terraform / CloudFormation (IaC). SQL & NoSQL databases. Distributed systems, REST APIs, GraphQL, microservices.

CSQ227R21 As a leader within the Premier Support team at Databricks, you’ll be responsible for leading and managing a team of Designated Support Engineers which deliver white-glove support experiences for Databricks’ enterprise customers. You will be hiring, mentoring, and developing a team of strong customer technical advocates while closely partnering with go-to-market, field and product teams to deliver the best support experience to maximize customer satisfaction and reduce time to mitigation for technical issues and incidents. The impact you will have: Hire, onboard, and develop a top-tier team of Designated Support Engineers (DSE) Identify and operationalize process improvements to meet or exceed team performance KPIs and create consistently exceptional support experiences Partner closely with field, engineering, support, and other cross functional stakeholders within Databricks to ensure seamless post-sales experience and advocate customer needs. Contribute to program enhancements and offerings tailored to evolving customer needs Coordinate execution and collaborate across customers, accounts teams and regional GTM leadership teams to resolve technical blockers and drive high customer satisfaction Conduct internal and external Support Experience QBRs What we look for: 15+ years of industry experience, with at least 7+ years of management experience Proven ability to hire and scale high-performing support or field teams, enabling them and helping them grow in larger roles Ability to work with strategic customers driving multiple completing priorities Preferred 5+ years of Technical experience in Python, Java or Scala-based application development, SQL databases, Linux/Unix systems, or cloud platforms (AWS, Azure, or GCP) 5+ years of technical support or field leadership experience managing global technical teams. Open to occasional travel to team locations Experience working cross-functionally with other teams such as Sales, Field Engineering, Product Ma