Cloud Partner Solutions Engineer Jobs

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

MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. This role will be based remotely in Poland with business fluency in German language. As an ideal candidate, you will have 5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role Minimum of 2 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity Experience implementing scalable and highly available distributed systems in the cloud and on-prem Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership Ability to work with a cross functional sales team to formulate and execute an end to end deal cycle A Bachelor’s degree or equivalent work experience Must have fluency in German language both verbal and written You m

MongoDB is bolstering its hiring, focusing on creating tools that guide customers in transitioning their applications from relational databases to MongoDB. As businesses evolve their application development frameworks, they're increasingly drawn to the versatility of the document model. The Relational Migrator team, already instrumental in this area, aids developers in making the shift from relational databases to MongoDB. Now, they're broadening their toolkit and are keen on refining code using a mix of AI and traditional text processing. MongoDB is seeking a Software Engineer with solid software engineering skills and a machine learning background. Joining this team, you'll be pivotal in a product engineering group dedicated to helping users navigate code conversion challenges with AI's support. This role will be based out of North America in the PST and MST zones only. The ideal candidate for this role will have 2+ years of professional software development experience in Java or another programming language Experience with generative AI and specifically LLMs is highly desirable Experience with text processing engines such as ANTLR is highly desirable Strong understanding of software engineering, system design, data engineering and/or cloud architecture Have experience with compiler design, code parsing or related areas Familiarity with concepts like abstract syntax trees (AST), lexical analysis, and syntax analysis Curiosity, a positive attitude, and a drive to continue learning Actively engages in emerging trends and research relevant to product features Excellent verbal and written communication skills Position Expectations Collaborate with stakeholders to define and implement a code modernisation strategy, ensuring that transformed code aligns with modern software practices while preserving original functionality Develop and maintain a robust code parser to accurately interpret legacy code structures, converting them into a standardised format like an abstract

MongoDB is bolstering its hiring, focusing on creating tools that guide customers in transitioning their applications from relational databases to MongoDB. As businesses evolve their application development frameworks, they're increasingly drawn to the versatility of the document model. The Relational Migrator team, already instrumental in this area, aids developers in making the shift from relational databases to MongoDB. Now, they're broadening their toolkit and are keen on refining code using a mix of AI and traditional text processing. MongoDB is seeking a Software Engineer with solid software engineering skills and a machine learning background. Joining this team, you'll be pivotal in a product engineering group dedicated to helping users navigate code conversion challenges with AI's support. This role will be based out of North America in the PST and MST zones only. The ideal candidate for this role will have 2+ years of professional software development experience in Java or another programming language Experience with generative AI and specifically LLMs is highly desirable Experience with text processing engines such as ANTLR is highly desirable Strong understanding of software engineering, system design, data engineering and/or cloud architecture Have experience with compiler design, code parsing or related areas Familiarity with concepts like abstract syntax trees (AST), lexical analysis, and syntax analysis Curiosity, a positive attitude, and a drive to continue learning Actively engages in emerging trends and research relevant to product features Excellent verbal and written communication skills Position Expectations Collaborate with stakeholders to define and implement a code modernisation strategy, ensuring that transformed code aligns with modern software practices while preserving original functionality Develop and maintain a robust code parser to accurately interpret legacy code structures, converting them into a standardised format like an abstract

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Engineering at Brex Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders. What you’ll do As a Security Operations Engineer at Brex, you will focus on preventing, detecting and responding to security threats across Brex's corporate and cloud environments. You will use existing systems and develop tools to improve our security capabilities. Our team is responsible for functions across corporate security, detection & response and infrastructure security domains; and we perform systems engineering and automation to support those functions. Security Operations is part of our wider Trust & IT o

The Fleet team at OpenAI supports the computing environment that powers our cutting-edge research and product development. We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency. Our work enables OpenAI’s models to operate seamlessly at scale, supporting both internal research and external products like ChatGPT. We prioritize safety, reliability, and responsible AI deployment over unchecked growth. About the Role The Software Engineer, Operating Systems & Orchestration will focus on building systems to manage hardware, configurations, vendors, and the people interacting with our infrastructure. You will design and develop solutions that integrate individual nodes and servers into unified clusters, directly contributing to advancing AI research by streamlining the overall research user experience. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design and build systems to manage both cloud and bare-metal fleets at scale. Develop tools that integrate low-level hardware metrics with high-level job scheduling and cluster management algorithms. Leverage LLMs to coordinate vendor operations and optimize infrastructure workflows. Automate infrastructure processes, reducing repetitive toil and improving system reliability. Collaborate with hardware, infrastructure, and research teams to ensure seamless integration across the stack. Continuously improve tools, automation, processes, and documentation to enhance operational efficiency. You might thrive in this role if you: Have strong software engineering skills with experience in large-scale infrastructure environments. Possess broad knowledge of cluster-level systems (e.g., Kubernetes, CI/CD pipelines, Terraform, cloud providers). Have deep expertise in server-level systems (e.g., systems, containerization, Chef,

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. Automation is the key to creating highly reliable and secure large-scale software systems. Are you someone who engineers solutions to problems rather than simply fixing the same thing over and over again? Can you protect Smartsheet against attackers? We are looking for a Senior DevSecOps Engineer to join our global Security Operations team. In this critical role, you will be a leader in maturing our security and reliability posture by treating both as software engineering challenges. You will engineer and operate a highly reliable, scalable, and defensible production environment, directly impacting our ability to deliver a world-class service to our customers 24/7. This is a unique opportunity to blend deep expertise in Site Reliability Engineering (SRE) and modern Security Operations, working at the intersection of infrastructure, automation, and security to build a platform that is resilient and secure by design. You Will: Engineer Secure and Resilient Infrastructure: Design, build, maintain, and improve secure, scalable, and highly available infrastructure in our multi-cloud environment (primarily AWS) using Infrastructure as Code (IaC) principles with tools like Terraform, Kubernetes, and Helm. Automate Proactive Security: Engineer an

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 Infrastructure Platform and Shared Services Team Okta authenticates, authorizes and provisions millions of users a day. The service is hosted on Amazon Web Services (AWS) across multiple availability zones and geographically separated regions. The service is designed for high throughput and 99.999 availability. We're looking for a technical leader to help us continue to scale the service with great people and reliable, cost-effective, and efficient infrastructure, processes, and tooling. As the Sr. Manager of Infrastructure Platform and Shared Services, you will oversee multiple teams focused on Edge networking, K8s platform, Observability, automation platform & tooling. What you’ll be doing Lead the Infra platform and shared services org and various initiatives across SRE & Infrastructure organization. Build a world-class observability platform and monitoring capabilities enabled with self-service Accelerate the velocity of SRE and product engineering by developing robust platforms, powerful tooling, and intuitive self-service capabilities. Own the design and operation of scalable, self-service Cloud infrastructure platforms (e.g. Observability Platform, SRE Productivity, deployments, and Edge Infrastructure) Lead, mentor, and grow a high-performing team of engineers and managers across SRE and infrastructure shared services domains. Perform engineering design evaluations and ensure the completion of projects within resource,

Get to Know the Sales Team Our sales team’s success is MongoDB’s success. We help customers solve challenges and build their next big thing. And our mission is to bring our developer data platform to new markets and new businesses around the globe. Our sales leadership is committed to building the best salesforce in technology. This means, inspiring and enabling success for everyone on the team. We not only equip you to be successful, but we want your feedback and input on how we can continue to “ Think Big and Go Far .” The Opportunity As an Enterprise Account Executive, Growth, you will play a pivotal role in driving the growth and success of MongoDB. You will be responsible for identifying and pursuing new business opportunities within an existing customer base, cultivating relationships with key stakeholders, and ensuring the successful adoption of our solutions. What You’ll Be Doing Prospect into CTOs, Engineering/IT leaders, and technical end users Grow a current base of MongoDB customers by landing new workloads through outbound prospecting Manage the full sales cycle for all MongoDB Products & Services Develop and execute a strategic territory plan to achieve revenue targets Collaborate with the sales ecosystem to drive sales initiatives and partnerships Build a sales pipeline in Salesforce and Clari while maximizing prospecting tools such as Sales Navigator, ZoomInfo, Sendoso, and Outreach What You’ll Bring To The Role 5+ years of quota-carrying field sales experience with a focus on closing new workloads and expanding accounts Demonstrated ability to successfully expand existing accounts and sell horizontally across the organization into different business units A proven track record of overachievement and hitting sales targets Ability to articulate the business value of complex enterprise technology Co-selling with cloud service providers (AWS, GCP and Azure) and large GSIs (Accenture, KPMG, etc) is a plus Must live in territory (flexible work m

Get to Know the Sales Team Our sales team’s success is MongoDB’s success. We help customers solve challenges and build their next big thing. And our mission is to bring our developer data platform to new markets and new businesses around the globe. Our sales leadership is committed to building the best salesforce in technology. This means, inspiring and enabling success for everyone on the team. We not only equip you to be successful, but we want your feedback and input on how we can continue to “ Think Big and Go Far .” The Opportunity As an Enterprise Account Executive, Growth, you will play a pivotal role in driving the growth and success of MongoDB. You will be responsible for identifying and pursuing new business opportunities within an existing customer base, cultivating relationships with key stakeholders, and ensuring the successful adoption of our solutions. We are looking to speak to candidates who are based in Toronto for our hybrid working model. What You’ll Be Doing Prospect into CTOs, Engineering/IT leaders, and technical end users Grow a current base of MongoDB customers by landing new workloads through outbound prospecting Manage the full sales cycle for all MongoDB Products & Services Develop and execute a strategic territory plan to achieve revenue targets Collaborate with the sales ecosystem to drive sales initiatives and partnerships Build a sales pipeline in Salesforce and Clari while maximizing prospecting tools such as Sales Navigator, ZoomInfo, Sendoso, and Outreach What You’ll Bring To The Role 5+ years of quota-carrying field sales experience with a focus on closing new workloads and expanding accounts Demonstrated ability to successfully expand existing accounts and sell horizontally across the organization into different business units A proven track record of overachievement and hitting sales targets Ability to articulate the business value of complex enterprise technology Co-selling with cloud service providers (AWS, GCP and A

About Eudia: Eudia is redefining the future of legal work with AI-powered Augmented Intelligence, enabling Fortune 500 legal teams to move faster, manage risk more effectively, and unlock new business value. Backed by $105M in Series A funding led by General Catalyst, we’re building a category-defining platform that blends AI-driven automation with human expertise, transforming legal from a cost center into a strategic growth driver. At Eudia, we move fast. Unlike traditional enterprise software, our teams ship solutions in days, not months—delivering real impact for some of the world’s largest companies, including Cargill, Coherent, DHL, and Duracell. We’re solving one of the most complex, unsolved challenges in AI: bringing trust, accuracy, and security to legal automation. We’re a team of builders, operators, and problem-solvers who are passionate about reshaping an industry that has long been resistant to change. If you’re looking for a place where you’ll be challenged, take ownership from day one, and work alongside some of the brightest minds in AI and legal —we’d love to meet you. About the Role: Are you interested in building a high-performance Agentic AI driven legal workflow system that supports our current and future scale of platforms? If so, we are looking for you to join our growing team in India. This person will work from our Bangalore office and actively collaborate with the Palo Alto team. We are looking for a Lead Software Engineer that will help develop the most secure, enterprise-grade software using and innovating the latest in Generative AI. The opportunity to tackle challenges in creating cloud-agnostic solutions, maintaining stringent security and compliance standards, and building scalable, resilient platforms for enterprise applications, data, AI, and search also exist while you will be able to routinely innovate on behalf of our customers, collaborating with the world's top

Build strategies. Shape change. Lead enterprise data transformation. The Role We are seeking a visionary Data Strategy & Advisory Leader at Managing Principal level to shape the future of data in financial services. You will lead the design, delivery, and scaling of enterprise-wide data strategies for tier-one banks, insurers, and investment firms — helping them unlock the value of their data and meet the demands of an ever-evolving regulatory and digital landscape. This is not just about advising — it’s about owning the transformation agenda : defining innovative propositions, leading complex consulting engagements, inspiring cross-disciplinary teams, and driving commercial growth. You’ll be at the forefront of modern data strategy, governance, analytics, and AI adoption, while mentoring the next generation of data leaders. What You’ll Do Design and operationalise enterprise data strategies that enable business transformation across banking, insurance, and investment sectors. Lead high-impact consulting engagements in data governance, literacy, quality, regulatory response, and analytics-driven decision-making. Shape new market propositions in data consulting, including the adoption of AI, advanced analytics, and cloud-based data platforms. Drive process modernisation — from business analysis to technical design, solution implementation, and long-term optimisation. Build trusted senior stakeholder relationships , influencing strategic decisions and securing follow-on mandates. Scale data capabilities across internal teams and client organisations, ensuring consistent, high-quality outcomes. Contribute to thought leadership , industry events, and internal innovation initiatives. What We’re Looking For 8+ years of senior-level consulting experience in financial services, with a strong data strategy and advisory focus. Proven expertise across the full data lifecycle , supported by frameworks such as DAMA DMBOK, DCAM, or CDMC. Deep understandin

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will support the design and development of shared platforms used across Scale. This includes designing our foundational data platforms and lifecycle, architecting Scale’s core cloud infrastructure and orchestration stack, and redefining how engineers develop, build, test, and deploy software at Scale. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: Drive the design, and implementation of our foundational platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements. Collaborating with cross-functional teams to define, design, and deliver new features. Proactively identifying opportunities for, and driving improvements to, current p

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About Role: We are seeking an experienced L2 Network & Security Engineer to join our team. As an integral part of our network operations, you will play a crucial role in maintaining and securing our infrastructure. If you have a passion for networking, security, and troubleshooting, we’d love to hear from you! Job Location: Noida Responsibilities: Install and Support: Deploy and maintain LANs, WANs, and network segments. Support Coordination: Collaborate with equipment vendors for troubleshooting and configuration standardization. Firewall Management: Handle firewall configurations to ensure security and optimal performance. Switch Expertise: Maintain a strong understanding of LAN switching technologies, including VLANs, RSTP, ACLs, and Virtual Chassis. Capacity Planning: Recommend network capacity planning strategies. Proactive Maintenance: Plan and execute proactive maintenance for disaster recovery. Network Monitoring: Monitor networks for security, reliability, and availability. Key Skills Required: He/She/They should have 3-6 Yrs. of overall IT experience. Firewalls: Proficient in configuring, managing, and troubleshooting FortiGate and Palo-Alto firewall. Network Switches: Skilled in handling Cisco, Juniper, and Huawei switches. Wireless: Familiarity with Aruba, Cisco controllers and access points. Cloud Expertise: Experience with AWS and Zscaler Private Access. Network Protocols: Sound knowledge of various network protocols and ports. Security Technologies: Familiarity with IPSec, SSL VPN, IDS, and IPS. Additional Skills: Routing and Switching: Prior experience in routing and switching. Communication: S

About the Team The Core Services team is responsible for building and managing foundational services. It acts as the bridge between core infrastructure (e.g. compute, storage, networking) and product engineering teams, and enables product teams to move fast, build reliably, and scale efficiently. About the Role As a software engineer in the core services team, you will design and operate critical backend platforms such as caching systems, workflow orchestration, metadata stores, and file services. You’ll focus on building highly reliable, scalable, and performant systems that serve as the backbone of our products. We’re looking for people who are passionate about building infrastructure that empowers product teams, love working on distributed systems challenges, and enjoy creating well-designed APIs and abstractions that accelerate development. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design, build, and maintain shared infrastructure services such as caching layers, workflow orchestration (Temporal), metadata stores, and file storage services. Collaborate with product teams to provide scalable, reliable primitives that abstract the complexities of distributed systems. Improve performance, resilience, and scalability of core services that power customer-facing applications. You might thrive in this role if you: Have experience with distributed systems, caching infrastructure (e.g., Redis, Memcached), metadata storage (e.g., FoundationDB), or workflow orchestration (e.g., Temporal, Cadence). Have experience running containerized services in cloud environments and integrating them into automated build/test/release (CI/CD) workflows. Understand trade-offs in consistency models, replication strategies, and performance optimization in multi-region systems. Excel at communication and collaboration with cross-functional teams, and are obsesse