51 to 65 of 65 Infrastructure Engineering Jobs in the City of London

digital future. Job Responsibilities: Engineer, Implement and maintain the firm’s Linux platform across all business lines. Automate all aspects of the management of this platform Build and deploy infrastructure, security and application monitoring tooling. Define and monitor system SLAs, ensure monitoring alerting and resolution. Recommend capacity management strategies and perform capacity management Provide assistance to application teams to … subject matter expertise to application support teams. Participate in an on-call rotation to support your environment. Proactively monitor utilization and performance and recommend capacity management strategies. Operate in Infrastructure team config, deployment, software development lifecycle system and tools Accurately and completely document the environment and management processes. Plan DR and BCP strategies and participate in implementation. Qualifications: Detailed … detail, focused to drive projects to completion. Strong proclivity for automation, including demonstrated experience building automated configuration and deployment tooling for Linux. Experience with Ansible a must. Bias for infrastructure as code. Demonstrated coding ability, especially in the area of system automation, preferred language Python. Detailed understanding of container runtimes, container orchestration experience along with production experience, including production More ❯

join our team to support projects environment. The successful candidate will be responsible for diagnosing, troubleshooting, and resolving environment-related issues, ensuring high availability and performance of the project infrastructure (in datapower and AWS). This role requires a hands-on technical expert with a strong background in DataPower development, complemented by knowledge of AWS cloud services. Excellent communication … stability, performance tuning, and security compliance. - Produce detailed technical documentation, status reports, and issue logs for ongoing support and knowledge sharing. - Communicate effectively with cross-functional teams including developers, infrastructure engineers, and project managers to ensure timely resolution of issues and alignment on priorities. - Work on automation using but not limited to Python, Shell scripting, Gitlab pipeline Required Skills More ❯

AI Infrastructure Engineer | AI Tech Scale-Up | £60,000–£85,000 DOE + Shares | London/Hybrid We are partnered with an innovative AI scale-up that’s growing rapidly and looking to hire an experienced AI Infrastructure Engineer to help deliver next-generation solutions. The Company This ambitious business is at the forefront of applied AI, working … strong growth trajectory and a collaborative culture, they offer the chance to work on high-impact projects in a fast-paced, forward-thinking environment. The Role As an AI Infrastructure Engineer, you’ll play a central role in building and deploying production-grade AI systems. You’ll be responsible for designing robust architectures, ensuring reliability and scalability, and collaborating … directly with enterprise clients to deliver tailored solutions. This is a technical and client-facing role where you’ll be expected to bring both engineering expertise and the ability to work closely with stakeholders to deliver measurable business value. The Candidate Key attributes of the suitable AI Infrastructure Engineer include: Deployment Expertise – Experience delivering enterprise AI or data More ❯

AI Infrastructure Engineer | AI Tech Scale-Up | £60,000–£85,000 DOE + Shares | London/Hybrid We are partnered with an innovative AI scale-up that’s growing rapidly and looking to hire an experienced AI Infrastructure Engineer to help deliver next-generation solutions. The Company This ambitious business is at the forefront of applied AI, working … strong growth trajectory and a collaborative culture, they offer the chance to work on high-impact projects in a fast-paced, forward-thinking environment. The Role As an AI Infrastructure Engineer, you’ll play a central role in building and deploying production-grade AI systems. You’ll be responsible for designing robust architectures, ensuring reliability and scalability, and collaborating … directly with enterprise clients to deliver tailored solutions. This is a technical and client-facing role where you’ll be expected to bring both engineering expertise and the ability to work closely with stakeholders to deliver measurable business value. The Candidate Key attributes of the suitable AI Infrastructure Engineer include: Deployment Expertise – Experience delivering enterprise AI or data More ❯

/Hybrid 70-80k base plus super and equity A fast-growing, data-driven organisation is seeking a Senior Data Engineer to design, build, and maintain scalable data infrastructure and workflows that power analytics and decision-making across the business. This role suits an engineer who’s passionate about data warehousing, data operations, and cloud infrastructure, with … maintain data pipelines and warehouse solutions using BigQuery (or similar cloud platforms). Write high-performance SQL and implement data models optimised for analytics and scalability. Use Terraform and Infrastructure as Code (IaC) to automate deployments and manage cloud resources. Orchestrate workflows with Airflow or Dagster, ensuring reliability and visibility across data pipelines. Implement best practices in data governance … monitoring, and data quality. Collaborate with analytics, product, and engineering teams to deliver clean, trusted data assets. Required experience for the Senior Data Engineer ( SQL/BigQuery/Airflow/Terraform ) include : 5+ years’ experience in data engineering or similar roles. Strong skills in SQL, BigQuery, Terraform, and IaC principles. Experience with orchestration tools like Airflow or Dagster. More ❯

/Hybrid 70-80k base plus super and equity A fast-growing, data-driven organisation is seeking a Senior Data Engineer to design, build, and maintain scalable data infrastructure and workflows that power analytics and decision-making across the business. This role suits an engineer who’s passionate about data warehousing, data operations, and cloud infrastructure, with … maintain data pipelines and warehouse solutions using BigQuery (or similar cloud platforms). Write high-performance SQL and implement data models optimised for analytics and scalability. Use Terraform and Infrastructure as Code (IaC) to automate deployments and manage cloud resources. Orchestrate workflows with Airflow or Dagster, ensuring reliability and visibility across data pipelines. Implement best practices in data governance … monitoring, and data quality. Collaborate with analytics, product, and engineering teams to deliver clean, trusted data assets. Required experience for the Senior Data Engineer ( SQL/BigQuery/Airflow/Terraform ) include : 5+ years’ experience in data engineering or similar roles. Strong skills in SQL, BigQuery, Terraform, and IaC principles. Experience with orchestration tools like Airflow or Dagster. More ❯

versioning to ensure reproducibility and governance. Enforce data quality, drift detection, and compliance (GDPR/COPPA), including watermarking and traceability to safeguard IP and user privacy. Collaborate with AI infrastructure engineers to optimize data storage and compute performance for large-scale processing. Work with AI engineers to define data specifications, support experimentation, and integrate active learning loops that improve … AI models over time. REQUIREMENTS 2 years of proven experience in data engineering for ML/AI, with strong proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience with cloud data platforms (GCP, AWS, or Azure), orchestration frameworks (e.g., Airflow), and ELT/ETL tools. Familiarity with 2D and 3D data formats (e.g., OBJ More ❯

versioning to ensure reproducibility and governance. Enforce data quality, drift detection, and compliance (GDPR/COPPA), including watermarking and traceability to safeguard IP and user privacy. Collaborate with AI infrastructure engineers to optimize data storage and compute performance for large-scale processing. Work with AI engineers to define data specifications, support experimentation, and integrate active learning loops that improve … AI models over time. REQUIREMENTS 2 years of proven experience in data engineering for ML/AI, with strong proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience with cloud data platforms (GCP, AWS, or Azure), orchestration frameworks (e.g., Airflow), and ELT/ETL tools. Familiarity with 2D and 3D data formats (e.g., OBJ More ❯

DevOps/Cloud Infrastructure Engineer needed - Permanent role - Paying up to £120,000 - 3 days onsite in London or Cambridge 🚀 I’m currently working with a fast-growing AI-driven technology company that is scaling its infrastructure team. They’re looking to hire an experienced DevOps/Cloud Infrastructure Engineer to join a six-person team and … environment. The Role: This role is very much hands-on and focused on building rather than just maintaining infrastructure. You’ll be: - Delivering medium-sized projects around scaling and infrastructure components. - Migrating parts of the existing stack into Kubernetes (EKS on AWS). - Solving complex scaling and pipeline issues as they arise. - Supporting wider engineering teams – product, security More ❯

DevOps/Cloud Infrastructure Engineer needed - Permanent role - Paying up to £120,000 - 3 days onsite in London or Cambridge 🚀 I’m currently working with a fast-growing AI-driven technology company that is scaling its infrastructure team. They’re looking to hire an experienced DevOps/Cloud Infrastructure Engineer to join a six-person team and … environment. The Role: This role is very much hands-on and focused on building rather than just maintaining infrastructure. You’ll be: - Delivering medium-sized projects around scaling and infrastructure components. - Migrating parts of the existing stack into Kubernetes (EKS on AWS). - Solving complex scaling and pipeline issues as they arise. - Supporting wider engineering teams – product, security More ❯

Remote based The Role We are seeking a highly skilled DevOps/Infrastructure Engineer for a scaling SaaS firm within the Resource Management space. You will play a pivotal role in designing, automating, and managing secure, scalable, and resilient cloud infrastructure on Microsoft Azure , while ensuring round-the-clock service continuity and alignment with ISO 27001 requirements click More ❯

Remote based The Role We are seeking a highly skilled DevOps/Infrastructure Engineer for a scaling SaaS firm within the Resource Management space. You will play a pivotal role in designing, automating, and managing secure, scalable, and resilient cloud infrastructure on Microsoft Azure , while ensuring round-the-clock service continuity and alignment with ISO 27001 requirements. This More ❯

ABAP Developer ? AI/Startup Role ?? ABAP Developer - Break Out of the SAP Box Most ABAP roles keep you maintaining the same old codebase. This one lets you take your SAP expertise and plug it straight into a modern AI More ❯

AI-powered vulnerability management product, accountable for ARR growth and POC conversion. This is an early hire with broad scope: define the vision, validate with customers, partner deeply with engineering, and bring zero-to-one capabilities to market. What You’ll Do Own product strategy & roadmap for an agentic vulnerability management platform; prioritize use cases that drive measurable revenue … and customer value. Partner with engineering as true collaborators in discovery and delivery—enable research and iteration, not just handoffs. Ship zero-to-one : take concepts from idea to GA, establishing product-market fit through customer validation and usage metrics. Act as product marketer : craft positioning, write technical content, and enable sales with crisp narratives and collateral. Stay customer … cloud security, or adjacent areas. 4–7 years in product management with shipped products that moved business metrics. Technical fluency across CI/CD, testing, developer workflows, and cloud infrastructure to collaborate effectively with engineers. Zero-to-one experience taking new products/features from concept to launch in ambiguous environments. Commercial mindset : set success metrics (e.g., POC conversion More ❯

AI-powered vulnerability management product, accountable for ARR growth and POC conversion. This is an early hire with broad scope: define the vision, validate with customers, partner deeply with engineering, and bring zero-to-one capabilities to market. What You’ll Do Own product strategy & roadmap for an agentic vulnerability management platform; prioritize use cases that drive measurable revenue … and customer value. Partner with engineering as true collaborators in discovery and delivery—enable research and iteration, not just handoffs. Ship zero-to-one : take concepts from idea to GA, establishing product-market fit through customer validation and usage metrics. Act as product marketer : craft positioning, write technical content, and enable sales with crisp narratives and collateral. Stay customer … cloud security, or adjacent areas. 4–7 years in product management with shipped products that moved business metrics. Technical fluency across CI/CD, testing, developer workflows, and cloud infrastructure to collaborate effectively with engineers. Zero-to-one experience taking new products/features from concept to launch in ambiguous environments. Commercial mindset : set success metrics (e.g., POC conversion More ❯