1 to 25 of 1,603 Remote SaaS Jobs in the South East

solutions to companies in the distributive trade – wherever they are in the world. With a unique depth of knowledge and experience in ERP/SaaS solutions, Klipboard has a wide range of clients includes wholesalers, distributors, merchants and retailers from small traders to multinational enterprises. Klipboard has offices in the More ❯

in computer science or software engineering, or related discipline. Strong analytical and problem-solving skills. Strong experience in building large scale distributed enterprise grade SaaS applications using cloud native services. Attention to detail, high degree of accuracy in daily work, ability to work independently and meet timelines. Preferred Skills: Experience More ❯

a go-to partner for auditing, tax, and other financial services companies that demand excellence in everything they do. They are not just another SAAS provider - they are the driving force behind some of the most successful financial firms in the world. As the Senior Software Engineer, you will be More ❯

have: 5+ years in a leadership role such as Technical Lead or hands-on Engineering Manager, ideally within AI/ML, software development, or SaaS startups. Passionate about Generative AI and LLMs with a strong grasp of cutting-edge algorithms and technologies (e.g., NLP, computer vision, predictive analytics). Extensive More ❯

have: 5+ years in a leadership role such as Technical Lead or hands-on Engineering Manager, ideally within AI/ML, software development, or SaaS startups. Passionate about Generative AI and LLMs with a strong grasp of cutting-edge algorithms and technologies (e.g., NLP, computer vision, predictive analytics). Extensive More ❯

have: 5+ years in a leadership role such as Technical Lead or hands-on Engineering Manager, ideally within AI/ML, software development, or SaaS startups. Passionate about Generative AI and LLMs with a strong grasp of cutting-edge algorithms and technologies (e.g., NLP, computer vision, predictive analytics). Extensive More ❯

bring in a highly skilled Azure DevOps Engineer to help continue their adoption of Azure-native services and build a best-of-breed scalable SaaS platform for their solutions. The Senior Azure DevOps Engineer will need to have 5+ years of enterprise experience with Azure, who can demonstrate a real More ❯

mock data, or Microsoft Fabric (Desirable) Knowledge of Azure services, web design (HTML/CSS/JavaScript), or mobile app development (Desirable) Experience with SaaS, multi-tenant solutions, or high-throughput environments (Desirable) Use of Azure DevOps for planning, tracking, and deployment pipelines What We Offer: A base salary of More ❯

in computer science or software engineering, or related discipline. Strong analytical and problem-solving skills. Strong experience in building large scale distributed enterprise grade SaaS applications using cloud native services. Attention to detail, high degree of accuracy in daily work, ability to work independently and meet timelines. Preferred Skills: Experience More ❯

and are looking for a highly motivated Staff Software Engineer to join our development team to help hack out the core of a new SaaS/IaaS platform from the ground up. What’s on Offer? Excellent pay (Up to 80,000, Dependent on Experience) Exposure to challenging projects, cutting More ❯

tools Building, operating, maintaining and working with Engineering and Architecture, optimising all of the Cloud Infrastructure including the PaaS infrastructure in Azure, and the SaaS platform components such as Salesforce Working with product engineering teams on recommendations to development changes Liaising with internal suppliers of the services and product teams More ❯

best practices to drive continuous improvement and innovation. Requirements: Proven experience designing, implementing, and managing cloud solutions comprising a variety of IaaS, PaaS and SaaS capabilities. Hands-on experience with Infrastructure as Code and scripting languages for deployment and configuration of cloud environments. Knowledge and experience of working to one More ❯

reference implementations Required Experience: • 5+ years of hands-on experience architecting and delivering cloud solutions in secure, complex environments • Strong knowledge of IaaS, PaaS, SaaS, and Infrastructure as Code (e.g., Terraform, Ansible, ARM, CloudFormation) • Familiarity with cloud governance, security frameworks, and regulatory standards (e.g., NCSC, CIS, ISO 27001) • Demonstrated success More ❯

best practices to drive continuous improvement and innovation. Requirements Proven experience designing, implementing, and managing cloud solutions comprising a variety of IaaS, PaaS and SaaS capabilities. Hands-on experience with Infrastructure as Code and scripting languages for deployment and configuration of cloud environments. Knowledge and experience of working to one More ❯

reference implementations Required Experience: • 5+ years of hands-on experience architecting and delivering cloud solutions in secure, complex environments • Strong knowledge of IaaS, PaaS, SaaS, and Infrastructure as Code (e.g., Terraform, Ansible, ARM, CloudFormation) • Familiarity with cloud governance, security frameworks, and regulatory standards (e.g., NCSC, CIS, ISO 27001) • Demonstrated success More ❯

on experience in AI/ML, including production-level deployment. 3+ years in a senior or lead technical position, ideally within a product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as More ❯

on experience in AI/ML, including production-level deployment. 3+ years in a senior or lead technical position, ideally within a product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as More ❯

on experience in AI/ML, including production-level deployment. 3+ years in a senior or lead technical position, ideally within a product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as More ❯

on experience in AI/ML, including production-level deployment. 3+ years in a senior or lead technical position, ideally within a product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as More ❯

on experience in AI/ML, including production-level deployment. 3+ years in a senior or lead technical position, ideally within a product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as More ❯

on experience in AI/ML, including production-level deployment. 3+ years in a senior or lead technical position, ideally within a product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as More ❯

on experience in AI/ML, including production-level deployment. 3+ years in a senior or lead technical position, ideally within a product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as More ❯

on experience in AI/ML, including production-level deployment. 3+ years in a senior or lead technical position, ideally within a product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as More ❯

on experience in AI/ML, including production-level deployment. 3+ years in a senior or lead technical position, ideally within a product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as More ❯

on experience in AI/ML, including production-level deployment. 3+ years in a senior or lead technical position, ideally within a product-focused SaaS environment. Strong command of Python and relevant libraries for machine learning, data engineering, and automation. Experience working with AWS (e.g., SageMaker, Bedrock) and infrastructure-as More ❯