Cloud Partner Solutions Engineer Jobs

As a Manager, Mid-Market Sales, you will provide strategy, mentorship, and guidance for a team of Mid-Market Account Executives. This role impacts one of the largest lines of business in the company, ultimately bringing a proven product to a multi-billion dollar market and selling into companies from 1,000 to 5,000 employees. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Motivate your team to exceed objectives Develop and maintain accurate team forecasts Hire, oversee, and train a team of Mid-Market Account Executives Drive lead generation, high activity standards, and pipeline management Facilitate the ramp up for all new team members, coaching them to success Monitor the sales funnel from prospect to close and create metrics to improve performance Who You Are: Experienced in hi-tech direct sales Familiar with SaaS/Cloud and Salesforce Able to accurately forecast team performance Passionate about coaching, mentorship, and team management Motivated by helping people grow with a desire to continue learning A self-starter who thrives in a high-growth, rapidly changing marketplace Proven in overseeing an outbound sales team in all areas of the sales cycle Fluency in Portuguese at a professional or business level is essential for this position Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply. Benefits and Growth: High income earning opportunities based on performance Opportunity for Presidents Club New hire stock equity (RSU) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Sales training in

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. For over 180 years, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. Sr. Software Engineer – Duties are designing & developing service-oriented & resource-oriented software architecture using Python in Flask framework for e-commerce systems for scalable web-centric AWS & GCP application platforms & frameworks using SOAP & REST protocols & server-side GitHub REST API including performing requirements analysis; reviewing designs for new functionality; formulating detailed functional & product specifications; collaborating with cross-functional finance & product team leads; performing requirements functional decomposition, unit & integration testing; supporting technology upgrades through cloud migrations; performing SQL & NoSQL database tuning & maintenance; and providing technical documentation & system implementation support. Position requires Bachelor’s degree in Computer Science, Computer Engineering, Information Systems or a related field & 5 yrs exp in job duties as stated. Position is with Dun & Bradstreet located in Jacksonville, FL. Inquire and send resume through Dun & Bradstreet’s job board at https://jobs.lever.co/dnb. Position is under Senior Software Engineer for Jacksonville, FL. #LI-DNI

Capco, a Wipro company, is a global technology and management consultancy specialising in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organisations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent. Role Summary A solution architect is responsible for designing detailed technical solutions with a strong focus on integration with Thailand’s local systems, data, and services. The role ensures that all solutions are aligned with local business requirements and comply with regulatory standards, while delivering scalable, secure, and efficient architectures. What You’ll Do Develop comprehensive solution designs for new features and integrations. Specialize in local system integration (e.g., PromptPay, National ID, local reporting interfaces). Apply deep knowledge of Thai financial technology infrastructure and data standards. Collaborate with development teams to ensure successful implementation and compliance by design. What We’re Looking For 7+ years as a Solution Architect or senior engineer, with in-depth, proven experience in system integration within the Thai financial services sector. Strong technical skills in API design, cloud-native principles, and data integration patterns. Proficient in Thai and English at intermediate level or above, sufficient for technical discussions, meetings, and written documentation Why Join CAPCO Work on engaging projects with some of the largest banks/insurance in the world, on projects that will transform the financial services industry Work

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 is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. We are hiring a Principal Software Engineer for our AI team. Our team delivers an AI Functions product that is the key Cortex Platform feature used by Snowflake customers. We're delivering scalable, governed, managed, powerful and flexible transformation primitives that allow customers to build AI ETL pipelines on all data. We focus on solving the hard research and engineering problems required to make high quality multi-cloud service work. If you enjoy designing and building the AI services that run reliably at scale, this is the team for you. AS PRINCIPAL SOFTWARE ENGINEER IN AI & ML YOU WILL: Build customer facing AI Functions portfolio of products Design and implement highly scalable distributed platforms within the global Snowflake platform. Participate in decision-making processes on technical or business issues. Collaborate with engineers across teams to help deliver cross-functional initiatives. Ensure operational readiness of the services and meet the commitments to our customers regardi

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 As a Software Engineer on the Infrastructure team at SpaceXAI, you'll own the foundational cloud and networking layer that every service runs on: network foundations, container orchestration, edge and security infrastructure, and the compute runtimes that power production. SpaceXAI is one of the fastest-growing developer tools in the world, and you'll drive the cost management, regional deployment strategy, and infrastructure unification that make that growth possible. When your systems work well, every team is more productive, every product surface is more reliable, and Cursor can expand to serve developers everywhere. Example projects include... Owning Kubernetes and cluster foundations: building and operating production clusters with proper service mesh, scaling, and ingress that teams can confidently deploy to. Designing the geo-deployment architecture: building a replicable, robust process for deploying geo-replicated services across cloud regions and providers. Building edge and security infrastructure: designing the networking and security layer at the edge to protect against abuse, manage rate limiting, and optimize traffic routing. Owning cost management

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 As an Engineering Manager on the Infrastructure team at SpaceXAI, you'll lead the team that owns the foundational cloud, networking, storage, and compute layer that every service runs on: network foundations, container orchestration, edge and security infrastructure, data storage systems, and the compute runtimes that power production. SpaceXAI is one of the fastest-growing developer tools in the world, and you'll drive the cost management, regional deployment strategy, and infrastructure unification that make that growth possible. When your team's systems work well, every team is more productive, every product surface is more reliable, and Cursor can expand to serve developers everywhere. You'll set technical direction, write and review code, and lead a team of strong infrastructure engineers, balancing hands-on contribution with growing your team's impact. What you’ll do Owning Kubernetes and cluster foundations: building and operating production clusters with proper service mesh, scaling, and ingress that teams can confidently deploy to. Designing the geo-deployment architecture: building a replicable, robust process for deploying geo-replicated services across

As the manager of the Digital Natives Solutions Architect (SA) team, you will focus on growing and developing a team of SAs, driving the adoption of the Databricks Platform at the largest, fastest-growing tech companies. You'll be responsible for leading the team in establishing best practices throughout the full lifecycle of the customers' workloads. You will help each team member achieve success, productivity, and career growth. You will also represent Databricks as a technical leader with some of its most important customers. This role will work in close collaboration with sales, services, product, and engineering to drive solutions and outcomes for these highly technical customers. You will utilize excellent communication skills to clearly explain and demonstrate complex solutions to both internal and external stakeholders. This role will report to the Director of Solutions Architecture for the Strategic Digital Native Business Unit. Responsibilities : Hire and develop a team of deeply technical Solutions Architects capable of guiding digital native customers across a wide range of data, analytical, and AI workloads. Adapt the SA team's skills and engagement model to match the needs of Digital native customers Consistently meet or exceed targets by making sure the SA team knows how to technically qualify workloads, identify important use cases, build proof of concepts, and establish themselves as trusted advisors throughout the customer life-cycle Travel to customer sites for executive sessions, technical workshops, and building relationships Establish relationships across internal organizations (engineering, product, services, sales, etc.) to ensure the success of the customers and team Stay current with emerging Data and AI trends in the digital native tech sector What we look for : 4+ years of experience in the data space with a technical product (i.e. data warehousing, big data, cloud infrastructure, or machine learning) 3+ years of experie

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 Solutions Engineering Team We believe Solutions Engineers at Okta are involved in all stages of the customer’s digital transformation. Solutions Engineers are experienced using presentations, email, phone and social media to connect with customers virtually and in-person. We are looking for great teammates who can build and deliver sales presentations and customized product demonstrations to help educate Okta’s Customers (everyone from developers to product managers to C-level executives) on best practices during their cloud security technology journey. We believe Okta’s Solutions Engineers empathize with Customers and quickly discern their true technical needs by asking detailed, clarifying questions while presenting solutions that specifically address those needs. Okta Solution Engineers have the rare combination of technical acumen and business insight; in a career where you can utilize both. As a Solutions Engineer at Okta, you will further develop each of these skills by advising a diverse set of customers on the value they

About the Role Lead a team of AI Infra (Systems Engineers) at Together based out of our office in Amsterdam, you and the SRE team are responsible for keeping all user-facing services and production systems running smoothly. You are a blend of a pragmatic operator and a software engineer that applies sound engineering principles, operational discipline, and mature automation to our operating environments and codebase. You specialize in systems (operating systems, storage subsystems, networking), while implementing best practices for availability, reliability and scalability, with varied interests in algorithms and distributed systems. Responsibilities Be on an on-call (PagerDuty) rotation to respond to incidents that impact availability Manage, develop and coach the SRE Team. Build and run our infrastructure with Ansible, Terraform, and Kubernetes to enable scaling to a massive number of concurrent users Build monitoring systems to ensure the highest quality service for our customers Design and implement operational processes (such as deployments and upgrades) Debug production issues across all services and levels of the stack Identify improvements for the product architecture from the reliability, performance and availability perspectives Plan the growth of Together AI’s infrastructure Requirements 7+ years of professional SRE or related experience Ideally 2 years as a Lead SRE Bachelor's degree in Computer Science or a related field or equivalent work experience Expert knowledge of Ansible (roles, playbooks), Terraform, and Kubernetes Proficiency in programming/scripting languages Direct experience in monitoring and observability practices Advanced knowledge of cloud services Ability to thrive in a collaborative environment involving different stakeholders and subject matter experts About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tu

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Product Security Data Platforms team is a newly established engineering team within Stripe Security. Our mission is to build the foundational infrastructure that provides our users with unprecedented visibility into the security posture of their Stripe integration. While Stripe is renowned for industry-leading payment protection, we are expanding our focus to provide a comprehensive security telemetry platform that helps businesses protect their entire digital ecosystem on Stripe. As a founding member of this team, you'll architect a large-scale customer-facing security data pipeline and presentation layer. Much like modern security observability platforms and data lakes that have transformed cloud infrastructure, we're building an API-first service that transforms massive streams of behavioral data into actionable security intelligence. This team operates at the intersection of high-throughput data engineering and cybersecurity, creating the systems that will allow the world’s most sophisticated companies to monitor, detect, and respond to threats in real time. What you’ll do As a Senior Software Engineer on this founding team, you'll lead the technical design and implementation of our core security data pipelines. You'll define how we capture security signals, process them at scale, and deliver them to our users through robust, developer-friendly interfaces. If you have security domain knowledge, you'll have opportunities to help shape

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: Create multi-layered guardrails around agents Optimize data retrieval for agents Orchestrate fleets of asynchronous agents Automatically alerts users to deviations in data Illustrating how an agent reached a decision As a Staff Software Engineer, you will orchestrate the implementation of vertical features and horizontal capabilities to include mentoring other engineers on defining requirements with stakeholders and communication tradeoffs of technical implementations on feature and capabilities until they are accepted by the stakeholders. You will: Orchestrate feature implementation across the Federal engineering team to ensure architectural consistency. Define technical strategy for agentic guardrails, explainability, and fleet orchestration. Ensure system reliability and performance across multiple security classifications and network types. Mentor engineers in the process of defining requirements with stakeholders and gathering acceptance. Communicate high-level technical trade-offs and implementation strategies to senior government stakeholders and Scale C-Suite members. Influence the long-term product strategy and technical roadmap for the Federal business unit. Consult on the architecture of AI-powered solutions for large-scale federal contracts. Ideally you will have: Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: Create multi-layered guardrails around agents Optimize data retrieval for agents Orchestrate fleets of asynchronous agents Automatically alerts users to deviations in data Illustrating how an agent reached a decision As a Senior Software Engineer, you will lead the development of a vertical feature or a horizontal capability to include defining requirements with stakeholders and implementation until it is accepted by the stakeholders. You will: Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers. Manage the full lifecycle of feature development from requirement definition to deployment on classified networks. Direct the orchestration of asynchronous agent fleets to meet mission requirements. Lead customer engagements to translate mission needs into technical requirements. Own the communication with stakeholders to ensure implementation meets defined acceptance criteria. Conduct technical reviews and identify risks within machine learning infrastructure and model serving. Drive the platform roadmap by providing technical specifications for Federal product offerings. Ideally you will have: Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and contai

Location Details: Remote, India At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join our team... The Securities Analytics and Products Group is responsible for developing and maintaining sophisticated software solutions to safeguard GoDaddy's ecosystem. We are seeking a dedicated Senior Software Engineer with a strong background in software development and a keen focus on security. The ideal candidate will have proven hands-on experience in software development, with a consistent track record of working with the latest software technologies while prioritising security best practices. As a key member of our engineering team, you will play a crucial role in designing, developing, and implementing secure software solutions to protect our organisation from cyber threats. You will get to work with some of the brightest minds to build secure, highly available, fault-tolerant, and globally performant microservices-based platform deployed on the AWS cloud, using the newest technology stack. While the role is primarily backend-focused, you'll also get opportunities to contribute to frontend features as needed, giving you exposure across the full stack. What you'll get to do... Design, develop, and maintain secure, highly available, fault-tolerant, and globally performant code deployed on AWS cloud. Ensure code quality through extensive unit and integration testing Own frontend features and UI components across projects on an as-required cadence, from design through delivery Investigate and resolve production issues, ensuring your team's DevOps on-call responsibilities Contribute to the technical documentation, code reviews,

P-1428 At Databricks, we are passionate about enabling data and AI teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As part of the AI Platform team, you’ll build the substrate that powers everything from data apps, AI agents, model training, model serving, and vector search. You’ll be joining a high-agency, high-visibility team operating at the frontier of AI infrastructure — with deep ties to research, product, and real-world enterprise use cases. Databricks Mosaic AI is one of our fastest-growing businesses helping thousands of our customers democratize AI within their organizations. We’re building the infrastructure that powers the next generation of AI. We’re hiring across multiple teams in our AI Engineering org including: The impact you will have: Build infrastructure that powers our flagship offerings like MLflow, AI Gateway, Databricks Apps, Agent Framework, Agent Bricks, and Foundation Model APIs, to state a few. Improve reliability, latency, and efficiency of distributed AI workloads Collaborate with platform, infra, and ML teams to deliver seamless end-to-end experiences Shape how developers and data scientists build and interact with AI on Databricks What we look for: 5+ years of experience in backend or infrastructure engineering Strong programming skills in Scala, Go, or Python Experience with distributed systems, scalable APIs, or cloud-native infrastructure Familiarity with service

About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Role Summary We are looking for a Software Product Builder - Enterprise Platform : a hands-on product engineer who can combine strong product taste, AI-native engineering, and the ability to ship production-quality software. This role is for builders who can move from ambiguous product opportunities to working systems quickly. You will design, prototype, build, and iterate on enterprise platform capabilities across cloud services, identity, security, administration, automation, and developer/operator workflows. You will use modern AI coding tools such as Codex, Claude Code, Cursor , and spec-driven development practices to accelerate delivery while maintaining high standards for quality, reliability, and security. The ideal candidate is not only able to define what should be built, but can personally build and ship it. What You’ll Do Identify high-impact enterprise platform opportunities by understanding user needs, operational pain points, and product gaps. Turn ambiguous ideas into clear product specs, technical designs, prototypes, and production-ready features. Build end-to-end platform capabilities across backend services, APIs, cloud infrastructure, identity, permissions, automation, observability, and admin workflows. Use AI coding agents such as Codex, Claude Code, and Cursor to accelerate implementation, testing, refacto