26 to 36 of 36 Infrastructure Engineering Jobs in Berkshire

Join us to shape the technology powering the frontline workforce. Connect by Cocentric is growing fast – and we’re looking for a hands-on Platform Engineering Manager to shape its technical future. Connect bridges HR systems and digital tools to give frontline employees seamless, secure access – without email addresses or complexity. Backed by recent funding and used by some … of the UK’s biggest brands, the platform is scaling fast. As our Platform Engineering Manager, you’ll work at the intersection of engineering, product, and customer delivery – setting technical direction, guiding architectural decisions, and helping scale a secure, modular, and high-performing platform. You’ll lead on everything from architecture and infrastructure to mentoring engineers and … helping shape the product roadmap. WHAT YOU WILL DO Design, lead, and evolve the technical architecture of the Connect platform Make decisions on tech stack, infrastructure, frameworks, and integration approaches Collaborate closely with the Head of Connect to align architecture with roadmap priorities Provide hands-on technical leadership – contributing code, conducting reviews, and guiding decisions Mentor and support a More ❯

Up to £95,000 + bonus Eligibility: Must be eligible for UK Security Clearance (SC) We’re seeking an experienced AWS Solution Architect to join a forward-thinking cloud engineering team working on high-impact digital transformation projects. This role is ideal for someone with a strong DevOps, infrastructure, or platform engineering background who is ready to … cloud technologies. What You’ll Do Design and implement secure, high-performing cloud architectures in AWS Lead end-to-end cloud migration projects and modernisation initiatives Develop and maintain infrastructure standards, patterns, and best practices Optimise cloud cost, performance, and security for business-critical workloads Collaborate with developers, data engineers, and ML teams to deploy production-grade systems Provide More ❯

Do you want to own the ML infrastructure at a frontier AI startup? Have you built cloud and ML systems from scratch, not just maintained them? Are you ready to shape the backbone of 3D generative AI? SpAItial is pioneering the development of a frontier 3D foundation model , combining cutting-edge AI, computer vision, and spatial computing to redefine … with half allocated to compute, SpAItial is a 10-person research-focused team moving fast towards a public demo later this year. We’re looking for a ML & Cloud Infrastructure Engineer to take ownership of our entire ML infrastructure. This isn’t a ticket-handling MLOps role — it’s a chance to build the systems that will power frontier … Docker, Kubernetes, Terraform) Implement robust monitoring, incident response, and CI/CD practices Collaborate closely with researchers to integrate and scale experiments This person must have experience building ML Infrastructure and cloud architecture from scratch Key Details: Salary: £100k–£180k (flexible for strong profiles) + equity Working Model: On-site, London Tech Stack: AWS/GCP/Azure, Kubernetes More ❯

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 ❯

our team to support project’s 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 ❯

/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 ❯

C++ engineers passionate about performance optimization and elegant system design where nanoseconds matter! What You'll Do: Design and optimize latency-critical C++ systems across trading, market data, and infrastructure components Performance engineering at every layer: CPU, cache, memory, and network Profile, benchmark, and fine-tune system behaviour under real-world conditions Collaborate with hardware and FPGA engineers … Genuine curiosity about hardware behaviour, networking, and system optimization Why Join: Work on systems where nanosecond optimizations have measurable impact Collaborate with world-class engineers across disciplines (software, FPGA, infrastructure) Technology-first culture that values innovation and technical excellence Solve challenging problems at the cutting edge of performance engineering More ❯

Software Engineer – AI Infrastructure | Up to £130K + Equity | London We're working with a stealth-stage AI infrastructure startup in London, founded by ex–Palantir engineering leads. Their mission is to help enterprises structure and automate messy internal data and processes, one of the biggest challenges businesses face AI today. They’re hiring a Backend Engineer … 3+ years’ experience) to take ownership of core backend systems end-to-end, from infrastructure to database design. Ideal Profile: Strong experience with Python and SQL Familiarity with FastAPI , Pydantic , and PostgreSQL Bonus: experience with lower-level languages such as Rust Role Details: Compensation: £80K–£130K + equity (0.1–0.3%) Location: On-site in London, 4/5 days … investors (Seed stage, ~$6M raised, founded in 2024) Interview Process: 3 stages This is an exceptional opportunity to join a small, world-class team at the forefront of AI infrastructure, ideal for engineers who thrive in fast-paced, high-ownership environments and want to build something truly impactful. 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 ❯