101 to 125 of 470 AWS Jobs in Slough

Python, Go, or similar) for automation and API integration. ✅ Knowledge of observability tooling – Prometheus, Grafana, ELK, or Datadog. 🎁 Bonus: experience with ElasticSearch , MySQL , or SQL Server , plus exposure to AWS , GCP , or Azure . Why This Role ✨ Greenfield impact – build database-as-a-service capabilities from the ground up. 🤝 Cross-functional collaboration – work with talented engineers across multiple European locations. More ❯

or equivalent experience) in Computer Science, Software Engineering, or a related field. Brings expertise in enterprise architecture, data governance, and cybersecurity. Lives and breathes modern platforms and practices, think AWS/Azure, DevOps, Terraform, Git. Background coding in HTML, JavaScript, and SQL when needed, but also thinks big picture. Has experience leading teams, managing risk, and delivering under pressure. Knows More ❯

development. 3+ with open-source real-time data feeds (Amazon Kinesis, Apache Kafka, Apache Pulsar or Redpanda) Exposure building and managing data pipelines in production. Experience integrating serverless functions (AWS, Azure or GCP). Passion for fintech and building products that make a real difference. Day to day: Develop and maintain our real-time data streaming pipelines. Write clean, reusable More ❯

microservices architecture, gRPC/REST services, and database design (PostgreSQL, Redis). Frontend proficiency with React/Next.js, responsive design, and modern JavaScript/TypeScript Cloud infrastructure knowledge including AWS services, CI/CD pipelines, and DevOps practices. System architecture experience designing scalable, maintainable applications from ground up. Experience in building scalable maintainable low latency SaaS products. A track record More ❯

with DevSecOps teams to embed IAM best practices into CI/CD pipelines, automating identity governance and access controls. Define and enforce security and identity policies across cloud platforms. (AWS, Azure, GCP) Document system configurations, standards, and procedures in a centralized location. Support Incident Response on security incidents globally, including contributing to table-top security incident exercises. Advise project teams More ❯

Temporal, Dagster) know-how. Track record using AI-assisted dev in production. Comfortable working with generated code and improving automation. Familiarity with CI/CD, Docker, cloud (Azure/AWS/GCP). Interest in AI and raising team AI skills. What we offer Competitive salary and share option plan 25 days annual leave, plus public holidays Excellent pension scheme More ❯

Atlassian ecosystem that enables collaboration across a large technical landscape. Key Requirements: Proven experience administering Atlassian applications (Jira, Confluence, Bitbucket, etc.) in enterprise or government environments. Solid knowledge of AWS , Linux/Unix , and CI/CD tooling (Jenkins, GitLab, GitHub). Proficiency with Terraform , PostgreSQL , and scripting languages such as Python or Bash . Track record of maintaining secure More ❯

years of experience with Java or Python (C++ a plus) Familiarity with databases (e.g., SQL Server, Postgres) Familiarity with developing, testing, or deploying with cloud providers (e.g., AWS, GCP, Azure) Experience using version control software (e.g., Git) Curiosity and a desire to solve challenging problems Strong programming ability A collaborative mindset and eagerness to give and receive feedback Excellent written More ❯

years’ experience in Data Engineering or Data Platform development Experience working with First-Party Data Strong SQL and Python fluency (data transformations, orchestration, automation) Familiarity with cloud ecosystems - Azure, AWS, or GCP Experience with CI/CD tools (Azure DevOps, GitHub Actions, or similar) Excellent communication skills and a structured, detail-oriented approach BSc in a related STEM degree from More ❯

Senior Full Stack Software Engineer (backend leaning) 💵 £90-£120k + equity 💻 Serverless AWS, Typescript (backend), Next.js & React 🏠 Central London | Hybrid 3 days on-site 🚀 Series A We are currently partnered with one of the fastest growing SaaS companies in Europe to help them scale their London engineering team and grow from 20 engineers to 40+. Their product is an AI More ❯

Lumen), Javascript and Typescript. The Lead Developer will be familiar with React and Python. The Lead Developer will enjoy interrogating databases (MySQL). The Lead Developer will ensure robust AWS integrations and workflows. The Lead Developer will coach and mentor a small team of engineers. The Lead Developer will be a champion for new technologies and best practice. The Lead More ❯

someone with: 5+ years’ experience in data science or analytics (consultancy or engineering background ideal) Proven experience leading projects and managing stakeholders Strong Python, SQL/NoSQL, and cloud (AWS/Azure/GCP) skills The ability to communicate technical insights clearly and confidently Hybrid – 2–3 days per week from London or on client site. If you hold valid More ❯

Strong backend or full-stack software development experience • Strong coding experience in either Java, Golang (Go), Python or Scala – multiple would be even better! • Experience with cloud platforms e.g. AWS, Azure, GCP - Google Cloud • Experience with data warehouses e.g. BigQuery, Redshift, Snowflake • Ability to work collaboratively • Open to new AI tools and technologies • Could come from roles like Senior Backend More ❯

for the following experience in Senior Java Developers: Core Java development Multithreading, concurrency, low latency Working in the financial sector e.g. FX, trading Building microservices in the cloud (GCP, AWS) with Kubernetes Product-led development – architecting, building and delivering Technical leadership: architectural decisions, mentoring, code reviews, pairing This is a brilliant company to work for with numerous generous benefits: Annual More ❯

maintaining complex distributed systems Take a proactive approach to spotting problems and areas for improvement Skills & Experience Strong Knowledge of C# and SQL Experience building on Azure, GCP or AWS At least 5 years of experience building distributed systems Excellent communication skills Can inspire and lead a team Experience overseeing multiple concurrent projects Tech Stack C# .NET Kafka Real time More ❯

field. Key qualifications include: Strong knowledge of computer science principles and proficiency in scripting languages such as Python or Bash. Familiarity with CI/CD processes, cloud infrastructure (e.g., AWS), and Kubernetes. Experience with Python coding, system architecture, and DevOps tools. Additional skills: Linux, Docker, GitLab-CI, Jenkins, and monitoring tools. A minimum of 7 years of relevant experience. Excellent More ❯

the London based Engineering team. You'll ideally have experience using some of the following stack: Backend: Python, Flask/FastAPI Frontend: React with TypeScript Infra: Terraform, GCP/AWS Ideally you'll have at least an interest and have tinkered personally with LLM type projects. Huge bonus if you have commercial experience in this area alongside the above product More ❯

technologies and techniques Candidate Profile 1+ years’ experience in a data-related role (Analyst, Engineer, Scientist, Consultant, or Specialist) Experience with technologies such as Python, SQL, Spark, Power BI, AWS, Azure, or GCP Strong analytical and problem-solving skills Comfortable working directly with clients and stakeholders Excellent communication and teamwork abilities Must hold active SC or DV Clearance More ❯

class - 2;1 Degree in Comp Sci or STEM subject from a Top ranked University 3+ years of experience in Python development Tech: Python, FastAPI, Pydantic, PostgreSQL, Numpy, Pandas, AWS DevOps tools: Kubernetes, Docker,Terraform, Jenkins Very strong software engineering principles Enthusiasm for startup environment and cross-functional teams Passion for automation and data infrastructure More ❯

experience with data manipulation skills in SQL and large “Big Data” environments. Command knowledge in Python and API Development Excellent grasp of software Engineering practices – Object Orientated Programming, GIT, AWS) CI/CD practices NoSQL Databases Candidates must have security clearance - Ideally DV My client has just received a huge investment and is now in the position where they are More ❯

engineering background, ideally having led development teams Strong understanding of architectural principles and delivery methodologies Experience working across domains such as Application, Technology, or Security Architecture Cloud experience with AWS, Azure, or GCP Familiarity with frameworks such as TOGAF, SAFe, or Scrum A collaborative mindset and passion for problem-solving in fast-paced environments The package Salary More ❯

is utilised in the development workflow Full Tech Stack: Backend & Data: Python, PostgreSQL, BigQuery, MySQL Frontend: TypeScript, React, styled-components Testing: Jest, React Testing Library, Cypress, pytest Cloud & Infra: AWS, GCP, ECS Fargate, Docker, Terraform, GitHub Actions This is a unique opportunity for an engineer who understands what best practice looks like when working with AI assistance. While you won More ❯

frameworks (LangChain, LlamaIndex, AutoGen, CrewAI) ● Proven track record designing scalable AI architectures (RAG, Graph RAG, multi-agent systems) ● Experience with vector databases (Pinecone, Weaviate, FAISS) and major cloud platforms (AWS, Azure, GCP) ● Strong foundation in MLOps/LLMOps and Agile delivery ● Excellent leadership, communication, and stakeholder engagement skills ● 10+ years’ experience in AI/ML, including senior solution architecture or More ❯

such as TensorFlow or PyTorch Knowledge of SQL and relational databases; experience with Big Data environments Familiarity with API development and NoSQL databases Understanding of CI/CD practices , AWS , and GIT Background in working to strict project deadlines Palantir experience is a bonus – full training will be provided if not Must have active SC or DV clearance Experience working More ❯

Transformers, and Diffusion models. Experience with Hugging Face Transformers, LangChain, LLM orchestration frameworks, and prompt tuning. Familiarity with RAG pipelines, embedding models, and vector databases. Experience with cloud platforms (AWS, GCP, Azure) and AI/ML services. Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Vertex AI, Azure ML). Strong understanding of data engineering, data pipelines, and ETL More ❯