Cloud Platform Engineering Jobs

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Principal Software Engineer. About the job This position is needed to lead the planning, design, development, and testing of large-scale software systems and new product capabilities, including cloud and internet-facing services. You’ll set technical direction, drive delivery using modern engineering practices, and ensure what we ship is secure, compliant, and production-ready. You’ll partner closely with product and engineering teams to turn requirements into reliable, high-quality software. Responsibilities In this role, you’ll: Lead architecture and system design for complex, distributed software systems; guide teams toward scalable, maintainable solutions. Design, implement, and review high-quality code for core services, APIs, platforms, and/or user-facing applications. Translate business goals into technical roadmaps, identify tradeoffs, and align stakeholders on solution direction. Improve system resiliency, laten

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What you will be doing? As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data. Your responsibilities will include: Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions. Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing. Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics. What we are looking for? 2-5 years: Data Engineer Proficiency in Python, SQL, and database management. Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark & Kafka. Proven problem-solving skills and a solution-oriented mindset. Experience working with business stakeholders either internally or externally Excellent communication skills to collaborate effectively within teams and with stakeholders. Strong business acumen with an interest in business-facing roles. Adaptability and a start-up mentality to thrive in a dynamic environment. Minimum of a bachelor's

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What you will be doing? As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data. Your responsibilities will include: Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions. Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing. Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics. What we are looking for? Proficiency in Python, SQL, and database management. Experience with Data Pipelines ETL, Cloud Services ( MS Azure, GCP preferred) , ML Modeling, Spark & Kafka. Proven problem-solving skills and a solution-oriented mindset. Excellent communication skills to collaborate effectively within teams and with stakeholders. Strong business acumen with an interest in business-facing roles. Adaptability and a start-up mentality to thrive in a dynamic environment. Candidates with similar skill sets and experiences have excelled in technology firms or consultancy firms. Successful ca

P-1477 The Agentic Applications team at Databricks is on an ambitious journey to transform how we run the business. Our mission is to build resilient, in-house platforms and AI-powered capabilities that provide a genuine competitive advantage, powering our next doubling in size and revenue. As a Staff Software Engineer on the Agentic Applications team, you will play a critical role delivering end-to-end applications that power our business and empower our employees with truly assistive technologies. You will be responsible for defining the technical roadmap, designing critical software systems, raising the bar on engineering excellence, mentoring junior engineers, and tackling the most challenging technical issues facing the team. You will be the technical leader for a team of software engineers. The impact you’ll have : Define the technical strategy and roadmap for building in-house solutions for critical internal workflows Partner closely with product management, design, and other engineering teams to build end-to-end, AI-powered solutions Eliminate technical risk by solving the most technically challenging issues or tackling the most complex development tasks facing the team Drive team best practices for engineering excellence, including design quality, operational reviews, testing strategies, and incident management. What we look for: 12+ years of software engineering experience, with a strong track record of technical leadership and impact. 3+ years of engineering leadership experience, serving as the technical owner for the software systems owned by your team. Experience designing and building end-to-end, full-stack cloud-native applications Customer obsession and product engineering mindset Strong communication skills and ability to influence technical and business stakeholders History of raising the engineering quality bar, focus on execution and operational rigor Strong ability to collaborate across product, engineering, and business teams to al

P-1478 The Agentic Applications team at Databricks is on an ambitious journey to transform how we run the business. Our mission is to build resilient, in-house platforms and AI-powered capabilities that provide a genuine competitive advantage, powering our next doubling in size and revenue. As a Senior Staff Software Engineer on the Agentic Applications team, you will play a critical role delivering end-to-end applications that power our business and empower our employees with truly assistive technologies. You will be responsible for defining the technical roadmap, designing critical software systems, raising the bar on engineering excellence, mentoring junior engineers, and tackling the most challenging technical issues facing the team. You will be the technical leader for a team of software engineers. The impact you’ll have : Define the technical strategy and roadmap for building in-house solutions for critical internal workflows Partner closely with product management, design, and other engineering teams to build end-to-end, AI-powered solutions Eliminate technical risk by solving the most technically challenging issues or tackling the most complex development tasks facing the team Drive team best practices for engineering excellence, including design quality, operational reviews, testing strategies, and incident management. What we look for: 12+ years of software engineering experience, with a strong track record of technical leadership and impact. 3+ years of engineering leadership experience, serving as the technical owner for the software systems owned by your team. Experience designing and building end-to-end, full-stack cloud-native applications Customer obsession and product engineering mindset Strong communication skills and ability to influence technical and business stakeholders History of raising the engineering quality bar, focus on execution and operational rigor Strong ability to collaborate across product, engineering, and business team

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What you will be doing? As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data. Your responsibilities will include: Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions. Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing. Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics. What we are looking for? Proficiency in Python, SQL, and database management. Experience with Data Pipelines ETL, Cloud Services ( MS Azure, GCP preferred) , ML Modeling, Spark & Kafka. Proven problem-solving skills and a solution-oriented mindset. Excellent communication skills to collaborate effectively within teams and with stakeholders. Strong business acumen with an interest in business-facing roles. Adaptability and a start-up mentality to thrive in a dynamic environment. Candidates with similar skill sets and experiences have excelled in technology firms or consultancy firms. Successful ca

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What you will be doing? As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data. Your responsibilities will include: Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions. Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing. Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics. What we are looking for? 2-5 years: Data Engineer Proficiency in Python, SQL, and database management. Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark & Kafka. Proven problem-solving skills and a solution-oriented mindset. Experience working with business stakeholders either internally or externally Excellent communication skills to collaborate effectively within teams and with stakeholders. Strong business acumen with an interest in business-facing roles. Adaptability and a start-up mentality to thrive in a dynamic environment. Minimum of a bachelor's

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What you will be doing? As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data. Your responsibilities will include: Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions. Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing. Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics. What we are looking for? 2-5 years: Data Engineer Proficiency in Python, SQL, and database management. Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark & Kafka. Proven problem-solving skills and a solution-oriented mindset. Experience working with business stakeholders either internally or externally Excellent communication skills to collaborate effectively within teams and with stakeholders. Strong business acumen with an interest in business-facing roles. Adaptability and a start-up mentality to thrive in a dynamic environment. Minimum of a bachelor's

About the Team DoorDash’s Global Governance, Risk and Compliance (GRC) team helps the business scale securely through practical risk-based decisions, reliable controls and clear accountability. Our third-party risk program protects the systems and data behind our marketplace across DoorDash, Wolt, and Deliveroo. About the Role We’re looking for a Third-Party Risk Management (TPRM) Manager to lead a technically rigorous global program and shape its AI-native future. You will own the vendor security risk lifecycle, lead complex assessments of integrations with our most critical systems and data, and develop a team that makes clear, evidence-based risk decisions. You will also set the vision and build practical agentic workflows that improve how we gather evidence, assess risk, and follow through on remediation. Reporting to the Global Head of GRC, you will serve as their US-based deputy and provide GRC leadership and escalation coverage during US business hours. You will directly manage TPRM analysts together with other US-based GRC team members assigned to your organization. This role combines hands-on technical judgment, program ownership and people leadership. You will be based in the United States, preferably within the Eastern or Central timezones, with core working hours aligned to US business needs and clear handoffs with global colleagues. What you will do Run the day-to-day TPRM program operations from vendor discovery and risk tiering through due diligence, onboarding, continuous monitoring, remediation and exit. Maintain a reliable vendor inventory, policies, assessment standards, and service levels across DoorDash, Wolt, and Deliveroo, covering cloud, SaaS, business process outsourcing (BPO), and other critical suppliers. Lead assessments of vendors connected to crown jewel systems, including identity platforms, production cloud, source code and CI/CD, and sensitive-data platforms. Examine architecture, data flows, permissions, and control evidence. Use st

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. Snowflake redefined the data landscape over a decade ago by building the AI Data Cloud—delivering industry-leading performance and price at scale across data engineering, analytics, and AI/ML workloads. Every day, new customers begin their journey to Snowflake, but migrating existing data and applications from legacy platforms remains a complex, high-effort challenge. Customers must adapt their entire ecosystem—data, database code, ETL pipelines, and consuming applications—to fully realize Snowflake’s value. The Migrations organization serves as the catalyst for this modernization, building solutions that enable customers and partners to migrate efficiently and with less risk. Within this charter, the SnowConvert AI team delivers an AI-driven migration product that moves data-centric applications to Snowflake an order of magnitude faster than industry norms. SnowConvert goes beyond schema and SQL translation, seamlessly migrating data, code, ETL pipelines, and BI tools by combining AI-based conversion with rigorous execution-level validation, ensuring that migrated systems are not only syntactically correct, but semantically equivalent to their source and production-ready on the Snowflake AI Data Cloud RESPONSIBILITIES: The team develops fundamental code conversion techniqu

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. We are hiring a Staff Security Engineer for our Enterprise Security team. The threats facing modern organizations are evolving at an unprecedented pace — driven by AI, cloud complexity, and an ever-expanding attack surface. Our Enterprise Security team is responsible for protecting Snowflake, our employees, and our customers by designing, implementing, and maintaining robust endpoint security solutions at enterprise scale, defending not just endpoints and identities, but the AI-assisted workflows and intelligent systems that define how the modern enterprise operates. AS A STAFF SECURITY ENGINEER AT SNOWFLAKE, YOU WILL: Develop, maintain, and scale Snowflake's endpoint security solutions while actively contributing to architecture and strategy. This includes EDR, DLP, secure browser, MDM, and AI security solutions across a complex multi-cloud, multi-SaaS enterprise environment. Own the technical roadmap for endpoint security tooling as Snowflake rapidly grows. Build intelligent security platforms and automate security operations using AI and robust software engineering. Identify opportunities to reduce toil, increase detection fidelity, and accelerate response through thoughtful, scalable automation. Monitor security events, investigate incidents, and build real-time detecti

About Stitch Fix, Inc. Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we’re equally committed to building yours. We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what’s possible for our clients, while we help you reach your full potential. About the Role As a Lead Integration Engineer on the Business Systems Engineering team, you will collaborate with cross functional teams to understand requirements and synthesize them to build & enhance globally scalable solutions. This role requires deep technical expertise in integration architecture and is responsible for identifying issues, building & testing integrations, and administering Workday and other People platforms. You will wear multiple hats; modifying business processes, complex reporting, and providing end-user support. Build the future of People Tech: Build scalable, AI-ready solutions that automate end-to-end HR processes and unlock new capabilities. Establish and evolve automation and Gen AI frameworks purpose-built for the employee experience. Deliver technical excellence: Define system boundaries, data flows, and integration standards and design reviews. Establish integration patterns, reusable code libraries, and architectural standards; implement monitoring, logging, and alerting for all HRIS systems. Build scalable integrations: Design event-driven integration patterns, RESTful/SOAP APIs, and data pipelines connecting HRIS Systems across our technology ecosystem; leveraging your skills in Studio, Cloud Connect, EIB, iLoad, Conversion, Core Connectors, XSLT, RaaS, and Web Services. Ensure security & compliance: Build secure architectures using OAuth 2.0, encryption, and maintain SOX compliance across all integrations. Drive impact & Collaboration: Partner

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. The Red Team in the Security Foundations org is responsible for conducting security assessments against Snowflake’s diverse cloud environment and finding vulnerabilities in software, systems, and networks. In this role, you will execute security assessments across Snowflake’s corporate and product environments. You will partner with cross-functional teams to communicate gaps discovered during engagements and help drive remediation. You will develop tools, perform security research, and build infrastructure to augment the Red Team’s capabilities. Our ideal candidate wakes up each morning thinking about different parts of the business that can benefit from security assessments. Their goal is to identify relevant security risks and help the business understand them so they can build effective defenses and protect Snowflake customers and their data. RESPONSIBILITIES Develop tools, methodologies, and infrastructure to support Red Team engagements in a variety of cloud environments and novel platforms Participate in security assessments against a diverse cloud environment and find vulnerabilities in software, systems, and networks Set scope, objectives, and timelines for security assessments and leverage data to create meaningful metrics Work with security and engineering teams t

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. Drives AI-first tooling, SDLC automation, and developer productivity initiatives Required Experience & Skills 6+ years of experience building internal tools or developer platforms Strong CI/CD and automation expertise, Generative AI integration in SDLC Core Backend & Architectural Fundamentals: Deep dive into data structures, algorithms, and microservices/distributed system architecture patterns. While we embrace a language-agnostic mindset, strong proficiency in Java or Python is preferred. Cloud & Infrastructure: Hands-on experience with cloud infrastructure, container frameworks (Docker/Kubernetes), and CI/CD pipelines is a major advantage Modern Engineering Practices (Highly Valued): Daily utilization of AI tools and agentic engineering environments (e.g., Kiro, Claude, Copilot) to accelerate software design, automate background workflows, and optimize developer productivity Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Corporate Systems Engineering builds and operates the software platforms, integrations, and automations that power Smartsheet’s core business functions across Finance, Sales/GTM, and People & Culture. Our team owns mission-critical systems and workflows that enable how the company hires, sells, bills, pays, reports, and scales. We operate at the intersection of software engineering, enterprise platforms, and business-critical data, treating internal systems with the same rigor, reliability, and product mindset as customer-facing software. The Automation team builds human-to-system and system-to-system automations that reduce manual effort and friction across the business. We combine cloud-native services, agentic AI, and workflow orchestration to enable employees to interact with enterprise systems through intelligent, secure, and auditable automation. As a Senior Software Engineer I (Automation), you will lead the design, build, and operation of systems and workflows that directly support business execution at scale. You will own complex technical initiatives, partner with Product Managers and stakeholders on technical roadmaps, and mentor junior engineers. This full-time position reports to the Sr. Director, Development and can be located in our Bellevue, WA office, or you may work remotely from anywhere in the US where Smartsheet is a registered employer. You Will: Architect AI Agents: Take a leading role in designing Agentic Workflows using AWS Step Functions and Bedrock Agents that reason