101 to 125 of 798 AWS Jobs in Berkshire

to architectural decisions and technical direction You’ll bring: 5+ years of experience building and shipping software Strong fundamentals in software design, APIs, and databases Familiarity with cloud platforms (AWS, GCP, or Azure) An agile mindset and a genuine interest in building great products Experience in FinTech, SaaS, or other data-heavy systems is a plus What’s on offer More ❯

to work with non-technical and technical stakeholders. Comfortable leading Engineers in the following stack: • Typescript/Next.js • Java 11 - 17 • PostgreSQL/Kafka • Cucumber/Cypress/Playwright • AWS/Kubernetes/Terraform Benefits: • 20% bonus • Life assurance • Pension scheme • 25 days annual leave (extra buy-in scheme) + bank holidays • Cycle to work scheme • Flexible/Hybrid working More ❯

full-stack software development (Python backend, JavaScript frontend). Strong background in backend infrastructure – SQL/NoSQL, event stores, cloud storage. Proven experience in architecting secure, scalable systems in AWS, Azure, or GCP. Experience with CI/CD pipelines, agile delivery, and technical leadership. Excellent communication skills and ability to work with senior stakeholders. What’s on offer: Salary up More ❯

and maintainable code Are excited to learn more about financial markets and trading systems Bonus experience: Ruby, Spark, Trino, Kafka Financial markets exposure SQL (Postgres, Oracle) Cloud-native deployments (AWS, Docker, Kubernetes) Observability tools (Splunk, Prometheus, Grafana) Why Apply? This is a fantastic opportunity to join a high-performance engineering team in a business that invests heavily in technology and More ❯

regulatory contexts when designing and delivering functionality Tech Stack The engineering team leverages a modern and scalable technology stack: Backend: Python (FastAPI), Node.js Frontend: React, TypeScript Database: PostgreSQL Infrastructure: AWS, Docker, Terraform CI/CD: GitHub Actions, Pulumi Monitoring & Observability: DataDog, Sentry Data & Analytics: dbt, Metabase Internal Tools: Retool Collaboration: Linear, Slack, Notion Candidates are not expected to have experience More ❯

and mentoring. Maintain a user-centred mindset , constantly measuring and iterating on how engineering decisions translate into product value. Technical Environment: Languages & Frameworks : Python, TypeScript, React, Svelte Infrastructure & Tools : AWS, PostgreSQL, Snowflake, CI/CD pipelines Ways of Working : Agile squads, continuous delivery, outcome-oriented culture You’ll work in a collaborative, engineering-led environment where autonomy, accountability, and thoughtful More ❯

of tick, timeseries, reference and alternative datasets. The technology stack spans both On-Premise and Cloud Infrastructure with technologies and tooling such as Python, DBT, Snowflake KDB+, Snowflake and AWS, This is an exciting time for you to join the team they modernise their technology estate, revamp how they process and filter data, and overhaul the way data is accessed More ❯

engineering and DevOps best practices as well as the complete SDLC applied to data, e.g. automation, testing, contract definition, clean code, CI/CD, path to production Worked with AWS as a cloud platform Extensive hands-on experience with modern data technologies, ETL tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform More ❯

RAG pipelines, or agentic systems. You understand their power, and their limits. You’re fluent in: 🐍 Python/FastAPI ⚛️ TypeScript/React/Next.js 🗄️ PostgreSQL, relational databases ☁️ Cloud infrastructure (AWS/GCP) and containerisation (Docker) Bonus points: Experience in early-stage startups or 0→1 environments. You’ve owned product – from idea to production impact Analytics experience (PostHog, Mixpanel). More ❯

/JAX framework. Customer facing: Experience working directly with customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability More ❯

oil, gas, power, renewables, and related derivatives) Risk - Modelling & understanding of risk & risk management Commodity Modelling - Energy (power, gas, environmental products) and meteorology Data engineering skills using Azure/AWS/Google cloud native tools Good experience in Bash\Powershell Scripting and Linux Operating system and networking fundamentals Front end application development Active in various AI communities relevant to the More ❯

automation scripting (Python) and database development.(SQL) particularly in spatial contexts. Proficiency in .NET for GIS-related application development. Desirable Skills & Qualifications: Experience with cloud-based GIS platforms (e.g., AWS, Azure). Familiarity with enterprise data integration tools and services. Experience mentoring junior developers and leading knowledge-sharing initiatives. Bachelor's or Master's degree in GIS, Computer Science, Geography More ❯

eg. Kafka/Pulsar, RabbitMQ, MQTT, or similar) Experience with container orchestration and service containerisation (Kubernetes, Docker) Built and deployed services on any major cloud providers' services (Azure, GCP, AWS) Worked with AI development tools (eg. Bolt, Lovable, Cursor) to speed up iteration & prototyping Nice to Have: Worked with real-time data collection and/or processing Worked in an More ❯

Familiarity with DevOps, CI/CD, and automation tools. Strong communication skills and ability to work with technical and non-technical teams. Nice to have: Cloud computing experience (Azure, AWS, or GCP). Knowledge of AQR Reporting (ECB). Exposure to Agile delivery environments. Understanding of enterprise architecture standards. Apply now or email Barry.Ansell@HarringtonStarr.com for a faster review. More ❯

control Experience working with JavaScript frameworks such as React, Redux , Vue, Backbone, or Angular. Experience deploying software to at least one of the leading cloud computing platforms (i.e., GCP, AWS, Azure) Understanding of SQL and NoSQL databases Proficiency in object-oriented programming , data structures , algorithms and web application development . More ❯

have strong Python backend software engineering skills You have experience of building FastAPIs You have a good knowledge of public cloud services, they're using Azure but experience with AWS or GCP is fine You have experience of working with data at scale You have strong SQL skills (PostgreSQL, SQL Server and ideally Databricks, or happy to learn it) You More ❯

and engineers Explore new tools to boost ML performance and reliability What are we looking for? Solid MLOps or ML Engineering experience Strong Python & SQL skills Hands-on with AWS, Azure, Terraform Great communication & problem-solving skills Bonus: Familiarity with finance or data viz tools (Power BI/Tableau, Excel More ❯

Have Experience & Skills: Proven experience as a Senior or Full-Stack Data Scientist, with a track record of taking ML projects from conception to deployment in a cloud environment (AWS preferred). Strong proficiency in Python for data science (Pandas, NumPy, Scikit-learn) and SQL (PostgreSQL is a plus). Hands-on experience with the full data lifecycle: data ingestion More ❯

world systems and reason about scale, latency, and trade-offs Comfortable building from zero — greenfield work doesn’t scare you; in fact, you prefer it Experienced with cloud infrastructure — AWS, GCP, or similar; IaC (Terraform, Pulumi, etc.) is a plus Competent with databases and data modeling — SQL and NoSQL, designing schema for scale Comfortable writing tests and deploying production systems More ❯

with SQL best practices, ELT patterns, and modern data transformation frameworks such as dbt Competence in at least one programming language (Python preferred) for automation. Experience with cloud platforms (AWS, Azure, or GCP), including security, IAM, and storage services Experience deploying and maintaining production pipelines using tools such as Airflow or Dagster Understanding of CI/CD principles, version control More ❯

databases. Familiarity with data visualisation tools (e.g., Plotly Dash, Power BI). Understanding of software development best practices (Git, CI/CD, testing). Exposure to cloud computing platforms (AWS or Azure). Excellent analytical and communication skills. If you are interested or would like to know more, please email jonathan.la@focusonsap.org with your CV and availability to speak. Applicants More ❯

internal platform or developer-focused products. Deep understanding of cloud computing, infrastructure-as-code, DevOps tooling , and data/AI platforms. Hands-on experience with one or more of: AWS, Azure, GCP, Kubernetes, Terraform, Databricks, or Vertex AI . Proven ability to collaborate with engineering and research teams to align platform capabilities with end-user needs. Skilled in stakeholder management More ❯

platform is also increasingly AI-powered, so familiarity with implementing AI solutions (RAG etc) is an advantage. You’ll be working on a project where everything is hosted in AWS and we have a lightweight automated deployment process. You’ll work alongside a very small team, meaning you’ll have loads of responsibility and will make a huge impact on More ❯

/AdTech ecosystems. Hands-on exposure with at least two major MarTech products (Adobe AEP/AEM, Braze, SFMC, Tealium, Segment, or mParticle). Deep understanding of cloud platforms (AWS/GCP/Azure), streaming technologies (Kafka, Pub/Sub), and data warehouses (Snowflake, BigQuery). Proficiency in SQL, a scripting language (Python/Node.js), and familiarity with infrastructure-as 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 ❯