You'll work in a small, experienced team to build and automate parts of an Azure environment, focusing on Infrastructure as Code, governance, and secure deployments. Responsibilities include designing and setting up cloud infrastructure, configuring RBAC, and provisioning core services like storage, key vaults, and VMs.
This role involves expanding and managing cloud infrastructure and automation, taking ownership of server management and security compliance. You will work with AWS, Azure, and on-premises servers, gaining broad experience in DevOps and platform engineering within a close-knit team.
This role involves designing, deploying, and maintaining cloud infrastructure using Azure and AWS, with a focus on networking, security, and automation. You will work in an Agile environment, collaborating with multi-supplier teams to deliver secure, scalable, and cost-effective solutions.
Design and build ultra-high-scale data platforms processing petabytes of data, using Java, Spark/Scala, and AWS to enable efficient querying of security event pipelines for threat detection and analytics. Focus on fault-tolerant systems, low-latency performance, and scalable data infrastructure. Work within a distributed team to enhance data accessibility for internal and external customers.
This role involves designing, implementing, and operating large-scale, multi-vendor, multi-cloud network infrastructure for CrowdStrike’s global data centers and cloud environments. The engineer will use infrastructure-as-code (Terraform, Ansible) and automation (Python, Go) to deploy and manage networks at scale, with a focus on performance, resilience, and compliance. Key responsibilities include troubleshooting complex issues, supporting AI-driven workflows, and ensuring adherence to security standards like ISO 27001, GDPR, and PCI-DSS.
This role involves working closely with Databricks' largest enterprise customers to design and implement data solutions on the Databricks Lakehouse platform. The Senior Solutions Architect will lead technical engagements, develop customer strategies, and act as a trusted advisor on data architecture and platform adoption. Activities include leading workshops, supporting proofs-of-concept, and collaborating with cross-functional teams to drive customer success.
This role involves guiding enterprise customers through the architecture, administration, and security of their Databricks deployments on AWS, Azure, or GCP. Responsibilities include designing secure, scalable deployments, leading technical discussions, and influencing product direction based on customer feedback.
This role involves partnering with sales teams and customers to demonstrate Snowflake's AI Data Cloud platform, delivering technical presentations, and guiding enterprise clients through proof-of-concepts and implementations. The Solution Engineer bridges business and technical audiences, focusing on data platforms, generative AI, and cloud technologies within the insurance and asset management sectors. Success requires deep expertise in data architecture, hands-on experience with AI/ML ecosystems, and the ability to articulate value across executive and technical stakeholders.
This role involves leading the design and delivery of enterprise-grade software and data platforms using Python, C#/.NET, and modern data technologies. The engineer will drive technical strategy, modernize legacy systems, and build scalable data solutions on cloud platforms like Azure and Snowflake. Key responsibilities include mentoring teams, ensuring data governance, and delivering secure, high-performance systems across analytics and operational workloads.
This role involves supporting teams in mapping stories to platforms, developing and maintaining hardened containers, and improving deployment pipelines. The candidate will also drive the adoption of new tools and technologies, enhance support processes, and ensure secure service deployment.
A Senior Solution Engineer at Snowflake works closely with sales teams and customers to demonstrate and implement Snowflake’s data platform, translating technical capabilities into business solutions. The role involves hands-on technical engagement, from proof of concept to deployment, while building trusted relationships with technical and executive stakeholders. The engineer also collaborates with partners and internal teams to shape product direction and drive customer success in a fast-evolving AI and data landscape.
This role involves designing, building, and delivering backend services and APIs to support a new AI layer in an investment management firm's technology platform. You will work closely with a frontend engineer to integrate AI capabilities, ensure data security, and continuously improve the product based on user feedback.
The Senior DevOps Engineer will lead the design, delivery, and operation of reliable, scalable cloud platforms within a government environment. Responsibilities include incident response, CI/CD pipeline management, cloud infrastructure support, and mentoring junior engineers. The DevOps Engineer will focus on building and maintaining cloud platforms, CI/CD pipelines, and containerized applications, collaborating with software engineers to improve delivery and operational efficiency.
This role involves developing and automating Python-based backend systems, APIs, and microservices within a secure, large-scale environment for a UK Government digital transformation programme. You will work with technologies like Go, AWS, Kubernetes, and HashiCorp Vault, focusing on automation and API development.
This role involves leading and mentoring a DevOps team, designing and managing CI/CD pipelines, and working with cloud platforms like AWS, Azure, and GCP. The position is a 6-month temporary contract with hybrid working, requiring SC/DV security clearance.
