Cloud Platform Engineer Jobs

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. At Okta, we are building the future of secure, enterprise-grade cloud automation and system connectivity. We are looking for a Principal Engineer to join our global Automation Engineering team to design, scale, and govern our enterprise integration substrate using AWS cloud services and modern iPaaS platforms. This is a senior individual contributor role for a hands-on system engineer who can set technical standards, establish integration best practices, and partner with cross-functional teams to automate complex business workflows at scale What you will do : Drive the architecture and strategy for self-service cloud automations, creating paved paths that enable builders across Okta to connect enterprise systems seamlessly. Design, build, and deploy high-throughput event-driven integration flows, API gateways, and async orchestration workflows using AWS serverless architectures and iPaaS platforms. Build reusable frameworks, developer SDKs, self-service primitives, and integration templates to streamline automation delivery. Serve as a technical expert on AWS cloud services and modern iPaaS tooling, driving scalable architecture, reliability, and builder enablement. Partner with operations, security, and platform teams to strengthen monitoring, observability, structured audit logging, and automated governance. Mentor engineers and influence engineering culture across teams, instilling a platform engineering mindset and raising the bar on code quality

At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology. The Role You'll Play At Mindbody, Core Engineering builds and evolves the foundational systems that help our products run reliably at scale. In this staff role, you’ll bring clarity to complex technical problems, guide architecture, and strengthen how we design, deliver, and operate the backend services that power real-world experiences. Lead cross-team technical execution, aligning architecture and delivery across multiple squads and core domains Design and evolve microservices patterns that improve reliability, performance, and maintainability Drive cloud and deployment improvements across AWS, Mindbody’s cloud platform, and our containerized deployment environment Partner with engineering and product leaders to turn ambiguous problems into clear technical plans and milestones Establish and socialize standards for service design, APIs, and relational data modeling (SQL) Strengthen monitoring and operational visibility using New Relic and Kibana, turning insights into durable system improvements Mentor and unblock engineers through design reviews, pairing, and practical guidance Reduce technical risk and complexity while balancing

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 Profile – Senior Staff Software Engineer Druva delivers Data Protection and Management for the cloud era. Druva Cloud Platform is built on AWS and offered as-a-Service; customers drive down costs by up to 50 percent by freeing themselves from the burden of unnecessary hardware, capacity planning, and software management. Druva is trusted worldwide by over 4,000 companies at the forefront of embracing the cloud. Druva is a privately held company headquartered in Sunnyvale, California, and is funded by Sequoia Capital, Viking Global Investors, Tenaya Capital, Riverwood Capital, and Nexus Partners. Please do visit us at: https://www.linkedin.com/company/druva/mycompany/ https://www.druva.com/about/ https://www.druva.com/blog/ The Data team within Foundation processes data at scale. It builds and operates tools that scan petabytes of data to extract insights. The team builds indices and views for semi-structured data to facilitate analytics, using both in-house and off-the-shelf tools. . The team diligently keeps track of newer services, storage tiers, and various aspects of existing AWS services to take

Leidos is looking for our next TS/SCI-cleared Elastic Search Engineer to join a high-energy team building and deploying a cutting-edge technology stack to support our client’s mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the DoD and IC enterprise. We integrate off the shelf and newly development software to sustain and enhance the TCPED platform. We leverage cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members. DTP advances the state of the art in mission-focused big data analytics tools and micro-service development spanning the breadth of Agile sprints to multiyear research and development cycles. As an Elastic Search Engineer, you’ll be a member of our platform engineering team and help develop, deploy and maintain nosql databases as foundational elements of our microservice eco-system using a Kubernetes as foundational platform. You’ll also support the adoption of GitOps best practices across cross-functional engineering teams. In this fast-paced environment, you’ll collaborate closely with systems engineering, architecture, development, security, operations, and integrations teams. Work is conducted on-site at our client location in Bethesda, MD. Key Responsibilities Include: Deploy, triage, debug, and maintain production class databases like Elasticsearch and Redis Design and support database configuration management strategies across air-gapped network fabrics Partner with Systems Engineers to architect solutions for new capabilities Contribute to operational monitoring capabilities to provide proactive system notifications Contribute technical input to engineering document

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 . Enterprise Workload is a unified server backup and archival built on Druva’s secure, enterprise-trusted, and high-performance cloud platform. With Phoenix, data can be stored indefinitely with limitless snapshots and flexible retention policies, while at the same time significantly lowering your backup costs. Druva takes a multi-layered approach to securing data that is unmatched in the industry – enabling organizations to address both their data security and data privacy requirements. As a Senior Staff Software Engineer you will be responsible for the design, implementation and maintenance of software modules owned by a team. Your primary focus will be on the development of all backend server side components and ensuring high performance and responsiveness to requests from the front end. You will guide and mentor junior team members by reviewing their code and designs to ensure that they are writing well designed and high quality code. This role requires excellent communication skills as you will need to collaborate across teams. Key Skills AI first mindset - Ability to effectively leve

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. About the team The Growth & Product Platform team builds the full-stack systems and services that power user onboarding, trial activation, product discovery, and intelligent engagement across Snowflake. Our mission is to build reliable services, experimentation infrastructure, and data-driven capabilities that help users discover and adopt the full value of the AI Data Cloud. As part of our team, you will work across the full stack: React and TypeScript frontends, Go and Node.js/TypeScript backend services, Java platform integrations, and SQL-based data platforms. A key area of focus is driving Snowflake's product-led growth (PLG) motion and developer adoption initiatives for Cortex Code, our AI-powered development environment. We design in-product discovery mechanisms, intelligent prompts, and contextual starter experiences that guide users to relevant workflows and deepen engagement. We balance rigorous platform engineering with fast-paced product iteration, caring deeply about building systems that are reliable, maintainable, and observable. Snowflake is growing fast, and we are looking for strong engineers to help scale the platform capabilities driving our core product growth. AS A SENIOR SOFTWARE ENGINEER FOR THE GROWTH & PRODUCT PLATFORM TEAM, YOU WILL: Desig

Who We Are: At Bandwidth , we shape how the world connects. We're the global communications software company and Tier 1 network operator with global reach. The voice, messaging, and emergency services infrastructure behind the brands and apps you use every day. Because we own the network we build on, the problems you'll solve here are bigger, more complex, and more impactful. And as communications shifts to AI, we're the infrastructure layer making it possible. We call ourselves BANDmates because building something this big takes collaboration, different perspectives, and the freedom to bring your authentic self to the table. We're experts who speak like humans. Ready to build what's next? #JoinTheBand What We Are Looking For: The Core Voice Engineering and Technology team at Bandwidth designs, builds, and maintains the software, cloud, and network platforms that support Bandwidth’s global communication services and internal development teams. We are looking for a Sr. Software Development Engineer (Voice Network) to join a collaborative, high-impact engineering team building the next generation of Bandwidth’s voice infrastructure and internal platform services. This role sits at the intersection of software engineering, distributed systems, cloud infrastructure, and telecommunications. You will design and build platform APIs, backend services, and automation capabilities that abstract and manage globally distributed voice systems. You will work in an R&D-focused environment where engineers are expected to operate autonomously, explore ambiguous technical problems, build prototypes and proofs of concept, and develop scalable solutions that can be deployed across global cloud and data center environments. While experience with networking and VoIP technologies is valuable, this is primarily a software and platform engineering role focused on building reliable, programmable, and globally scalable services for voice infrastructure. What You'll Do: Design, build

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. The Engineering Opportunity We are looking for an experienced Senior Site Reliability Engineer to join Okta's Emerging Products Group (EPG). Our mission is to build highly reliable, scalable, and secure cloud services that our customers can trust. We embrace an automation-first mindset and continuously invest in platform engineering, observability, and operational excellence to enable our engineering teams to move quickly and safely. This role is ideal for an experienced Site Reliability Engineer who enjoys solving complex technical challenges at scale, building automation, and improving the reliability of production systems. You will serve as a key contributor within the EPG SRE organization, partnering closely with software engineers, architects, and product teams to design, build, and operate world-class cloud services. What You'll Be Doing Reliability & Operations Design, build, and operate large-scale cloud infrastructure and production services. Participate in an on-call rotation supporting highly available customer-facing systems. Lead incident response efforts and drive post-incident reviews focused on systemic improvements. Define, measure, and improve Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets. Partner with engineering teams to improve service availability, scalability, performance, and resilience. Continuously improve observability through metrics, logging, tracing, dashboards, and alerting. Eng

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. Broad knowledge and experience in: Expertise in the field of Data Engineering, Business Intelligence, and Advanced Analytics. Supporting, and maintaining ETL/ELT processes using SSIS, Snowflake, and cloud-native data integration technologies. Proficient in writing advanced SQL queries in both SQLServer and Snowflake. Proficient in debugging ETL packages. Good knowledge of databases, data warehousing, dimensional data modeling, and data governance practices. Familiarity with cloud-based systems for data engineering, especially Google Cloud Platform (GCP) and BigQuery. Experience with workload automation, job scheduling, and monitoring tools such as Active Batch & RMJ. Supporting Business enterprise data pipelines and ensuring data availability, reliability, and performance. Experience in production support, handling incidents, identifying root causes, and resolving problems. Knowledge of building APIs and integrating data across multiple applications and platforms. Experience with Agile development methodologies and DevOps practices. Resolving transformation requirements and developing processes to bring structured and unstructured data from source systems into target data models. Working with Data Engineers, Data Scientists, and Business teams to support data quality, data preparation, and analytical workloads. <li

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 CVS Health is looking for hands-on, passionate people who want to join a high energy and growing team to make a difference in customers’ lives and who want to be on the forefront of digital innovation that aims to reinvent what a pharmacy and a health care company can be in the digital world. Currently, we are seeking a Staff Software Engineer – Search / AI who as a Senior technical leader, be responsible for driving architecture, design, and delivery of scalable, cloud-native platforms built on microservices architecture and AI capabilities. This role combines deep hands-on engineering with strategic leadership to build intelligent, distributed systems. The right candidate will be a strong analytical thinker and be able to simplify complex problems, processes or projects into component parts explore and evaluate them systematically. We love to collaborate and help each other and we want someone to share that ideology. Expectations for the Role Drive enterprise architecture and technical strategy with strong focus on microservices-based design and AI platform engineering Design and develop highly scalable microservices architectures, including APIs, domain-driven services, and event-driven systems Lead the development and integration of AI/ML solutions, including LLMs, Retrieval-Augmented Generation (RAG), and agentic frameworks Develop sc

The Role As a Sr. Solutions Engineer, you will independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations. You are a builder who can code, architect, and present—combining technical depth with customer-facing skills to drive Databricks adoption. You will own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage within Digital Native customers. The Impact You Will Have Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins Own frontline technical relationships with customer engineers, data teams, and technical leads Develop account-level technical strategies in partnership with your Account Executive to grow platform consumption Navigate competitive landscapes by articulating Databricks differentiation through hands-on demonstrations Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community What We Look For 4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role Proficient in Python and SQL with demonstrated ability to debug, optimize, and write production-quality code — live coding is a required interview stage Hands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP) Working knowledge of distributed data systems: Apache Spark™, Delta Lake, or equivalent (Hadoop, Kafka, Flink) Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics Strong presentation and demo skills —

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we’re hiring We’re growing the data engineering capability behind ad-tech solutions that process large-scale, real-time audience data. In this role, you’ll take deep technical ownership of the data model that supports targeting and measurement decisions for advertisers at scale. You’ll help evolve a complex, interconnected data platform while working with modern distributed processing technologies and a highly collaborative engineering team. Who you’ll be working with You’ll work closely with data engineers and colleagues across Quality Assurance, Analytics and connector teams. We value teamwork over ego, collaboration over competition, open and honest communication, strong opinions held with curiosity, and continuous improvement through kaizen. Our technology environment Scala-based backend services Google Cloud Platform (GCP) Apache Spark for large-scale distributed data processing Parquet and BigQuery Tyda, an open-source, automation-driven software development lifecycle process What you’ll do Own and evolve a core data model spanning input and output models, field types and partitioning strate

About THG Ingenuity THG Ingenuity is a fully integrated digital commerce ecosystem, designed to power brands without limits. Our global end-to-end tech platform is comprised of three products: THG Commerce, THG Studios, THG Fulfilment. Each represents a single, unified solution, overcoming challenges and taking brands direct-to-consumer. Our client portfolio includes globally recognised brands such as Coca-Cola, Nestle, Elemis, Homebase, and Proctor & Gamble. Database Engineer (DBA) Company: THG Ingenuity Location: Manchester (Head Office) Reports to: Database Platform Manager Role Overview We are looking for a Database Engineer to help run and improve our database platform. Our estate runs on Google Cloud Platform following a recent migration to self-managed services. There is plenty still to do in the next phase of modernising the estate, and you will be hands-on in that work as well as in the day-to-day running of the platform. You will work alongside a small team of database engineers and closely with engineering and infrastructure teams, keeping our database environments secure, reliable and performant. There is real scope to grow here, and you will be supported to deepen your technical expertise and take on more as you do. The role participates in a rotating on-call rota and occasionally requires out-of-hours work to support deployments, maintenance or incident response. Key Responsibilities Database administration Install, configure, maintain and upgrade PostgreSQL and SQL Server environments across development, test and production Ensure database servers are securely configured, patched and compliant with operational standards Own backup, restore and maintenance strategies, and test recovery procedures regularly Maintain database security, access control and auditing practices Cloud and infrastructure &n

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. The Engineering Opportunity We are looking for an experienced Senior Site Reliability Engineer to join Okta's Emerging Products Group (EPG). Our mission is to build highly reliable, scalable, and secure cloud services that our customers can trust. We embrace an automation-first mindset and continuously invest in platform engineering, observability, and operational excellence to enable our engineering teams to move quickly and safely. This role is ideal for an experienced Site Reliability Engineer who enjoys solving complex technical challenges at scale, building automation, and improving the reliability of production systems. You will serve as a key contributor within the EPG SRE organization, partnering closely with software engineers, architects, and product teams to design, build, and operate world-class cloud services. What You'll Be Doing Reliability & Operations Design, build, and operate large-scale cloud infrastructure and production services. Participate in an on-call rotation supporting highly available customer-facing systems. Lead incident response efforts and drive post-incident reviews focused on systemic improvements. Define, measure, and improve Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets. Partner with engineering teams to improve service availability, scalability, performance, and resilience. Continuously improve observability through metrics, logging, tracing, dashboards, and alerting. Eng

Req: FEQ427R137 Location: Singapore The Role As a Sr. Solutions Engineer, you will independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations. You are a builder who can code, architect, and present—combining technical depth with customer-facing skills to drive Databricks adoption. You will own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage. The Impact You Will Have Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins Own frontline technical relationships with customer engineers, data teams, and technical leads Develop account-level technical strategies in partnership with your Account Executive to grow platform consumption Navigate competitive landscapes by articulating Databricks differentiation through hands-on demonstrations Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community What We Look For 4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role Proficient in Python and SQL with demonstrated ability to debug, optimize, and write production-quality code — live coding is a required interview stage Hands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP) Working knowledge of distributed data systems: Apache Spark™, Delta Lake, or equivalent (Hadoop, Kafka, Flink) Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics Strong presentation and demo skil