451 to 475 of 4,479 AWS Jobs

outcomes Experience with Infrastructure as Code using Terraform and/or CloudFormation, including environment provisioning and repeatable deployments Experience designing event-driven architectures using AWS services such as SQS, SNS, and Event Bridge, including asynchronous processing and resiliency patterns. ...

quality, maintainable solutions Demonstrate proficiency in Java and/or Python programming languages Deploy production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain Utilize cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools, and containerization/orchestration … including Retrieval-Augmented Generation (RAG), agentic system architectures, and Model Context Protocol (MCP) Exposure to vector stores such as Pinecone, GCP RAG engine, and AWS S3 Vector Buckets Previous experience deploying and managing ML models Experience working in highly regulated environments or industries We recognize that our people ...

using orchestration tools (Airflow, Azure Data Factory).- Understanding of JSON, XML, APIs, and data ingestion technologies. Cloud Experience:- Familiarity with cloud platforms (Azure, AWS, GCP) is a plus. Preferred Qualifications: Understanding of data governance and compliance.Experience with CI/CD pipelines and containerisation (Docker, Kubernetes).Background in Agile methodologies. ...

using orchestration tools (Airflow, Azure Data Factory). - Understanding of JSON, XML, APIs, and data ingestion technologies. Cloud Experience: - Familiarity with cloud platforms (Azure, AWS, GCP) is a plus. Preferred Qualifications: Understanding of data governance and compliance. Experience with CI/CD pipelines and containerisation (Docker, Kubernetes). Background ...

configuration workflows.Data pipelines.Vector databases and graph APIs.MCP integration.Security frameworks and compliance controls.Observability and logging.Preferred CertificationsKubernetes CKA/CKAD.Terraform Associate.Red Hat Ansible certification.Google Cloud, AWS, or Azure certification.Cisco, Juniper, Nokia, or Ericsson automation-related certifications.TM Forum Open API certification.Nice-to-Have QualificationsExperience with Google Vertex AI, Gemini APIs, BigQuery, or similar ...

model security, prompt‐injection defenses, supply chain security for open‐source/open‐weight models. Solutions‐architect level expertise in at least one hyperscaler (AWS, Azure, or GCP), including their native AI/ML services. Ability to design for hybrid on‐premises/cloud AI deployments, including data residency … multi‐vendor delivery teams. Certifications NVIDIA certifications (NCP‐AI Infrastructure, or NVIDIA Deep Learning Institute credentials) — strongly preferred. Cloud AI/ML certification: AWS Certified Machine Learning – Specialty, Microsoft Certified: Azure AI Engineer Associate, or Google Professional Machine Learning Engineer — at least one preferred. Kubernetes: CKA or CKAD — preferred. TOGAF ...

Software development skills using Linux or WSL SIEM and log routing experience in tools such as Splunk, Sentinel, Cribl, and ELK Familiarity with AWS, Azure, and GCP services Proficiency in scripting or programming (Python, Bash, PowerShell) Excellent problem-solving, analytical, and communication skills Experience with IDS/IPS solutions, vulnerability ...

technical business leaders. Advanced proficiency in Python and relevant libraries (NumPy, Pandas, PyTorch, or TensorFlow). Experience with Cloud AI Services (Azure AI Studio, AWS Bedrock, or Google Vertex AI [Preferred]). Knowledge of SQL and advanced data modeling for structured and unstructured data. Familiarity with MLOps tools (MLflow, Kubeflow …/ML engineering or architecture. Proven track record of delivering production-grade AI applications. AI-related certifications (e.g., Azure AI Engineer Associate, AWS Machine Learning Specialty) are highly preferred. Typical Education Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field ...

Wednesday onsite) Due to the location, you must have a full UK driving license. What you'll be doing Designing, building and evolving secure AWS cloud platforms using Infrastructure as Code. Developing robust CI/CD pipelines to enable faster, safer software delivery. Embedding DevSecOps principles and security tooling throughout … strategy and introducing new ideas that make a lasting difference. What we're looking for You'll have experience with most of the following: AWS Terraform Kubernetes (EKS would be advantageous) CI/CD pipelines and deployment automation Docker, containers and Linux DevSecOps, SAST/DAST and cloud security best ...

resilience planning. Experience designing human‐in‐the‐loop decision tools (explainability, constraints override, auditability, and traceable recommendations). Cloud platform experience (Azure/AWS/GCP) and building secure, scalable services. Experience with event‐driven architectures, streaming, and near‐real‐time optimisation. Experience with data science/ML components that ...

ability to guide peers on safe and effective usage within team practices. Preferred qualifications, capabilities and skills Knowledge of banking/finance. Certification in AWS, Kubernetes (CKE) and Terraform Familiar with databases (SQL or NoSQL). Experience with client/server software architectures & networking, or microservice architectures. Experience with observability ...

hands-on experience with Google Cloud Platform (GCP) and its associated services (e.g., Cloud SQL, Cloud Storage, Apigee). Experience with Azure or AWS is desirable but GCP is paramount. You can clearly articulate cloud concepts and guide implementation. and managing RESTful APIs, including API security, versioning, documentation (e.g., OpenAPI ...

Architect, Technical Architect or Senior Software Architect Strong background in modern software engineering using C#/.NET Extensive experience designing cloud-native applications on AWS Deep understanding of microservices architecture Experience with event-driven systems and asynchronous messaging API-first architecture and systems integration Container technologies (Docker, Kubernetes … what matters: designing robust cloud-native solutions, influencing engineering teams, and helping build software that scales. The environment is heavily centred around modern AWS architectures, microservices and event-driven design patterns that enable resilient, independently deployable services. ...

developing APIs and microservices Good understanding of frontend technologies such as React and Next.js Experience managing at least one cloud platform, such as Azure, AWS or GCP Experience working with AI development frameworks such as LangChain, foundation model platforms, vector databases, structured outputs, tracing and evaluation techniques Experience applying modern ...

troubleshoot complex infrastructure and application issues using monitoring insights Solid scripting experience (Python, PowerShell) for automation and integration Familiarity with cloud platforms (Azure, AWS) and monitoring containerised environments (Kubernetes, OpenShift) Strong problem-solving skills and analytical thinking to draw meaningful insights from data Excellent communication skills with the ability ...

professional development Degree in Data, Computer Science, Engineering, Information Systems or related discipline Desirable Relevant cloud, data or architecture certifications (e.g. Azure Data Engineer, AWS, TOGAF) Partnerships & Communities Essential Experience working across organisational boundaries to deliver shared outcomes in complex systems. Ability to build and maintain effective relationships with senior ...

ability to guide peers on safe and effective usage within team practices. Preferred qualifications, capabilities and skills Knowledge of banking/finance. Certification in AWS, Kubernetes (CKE) and Terraform Familiar with databases (SQL or NoSQL). Experience with client/server software architectures & networking, or microservice architectures. Experience with observability ...

tests Hands‐on experience with CI/CD pipelines (GitHub Actions) Experience using Git and GitHub Familiarity with Kubernetes Experience with AWS Serverless services and S3 Infrastructure as Code using Terraform Data & Streaming Experience with Snowflake Experience working with Kafka Observability & Monitoring Knowledge of tools such as NewRelic or Grafana ...

industry standard IdP solutions like EntraID, Okta, etc. Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred). Show a track record of independent ownership of successful engineering projects. Possess excellent communication and collaboration skills, and the ability to translate complex … technical stakeholders. Nice to haves: Experience securing API access and implementing access control mechanisms at the application level. Multi‐cloud infrastructure experience – AWS, Azure, GCP, and more. Proficiency in integrating IAM solutions with applications built using frameworks such as Java, Python, Node.js, or .NET. Mentorship/leadership experience supporting junior ...

communication skills with the ability to work closely with technical teams and stakeholders. Experience mentoring or supporting other engineers is highly desirable. Cloud experience (AWS, Azure or GCP) What's in it for you? Salary up to £60,000 1015% sign-on bonus Performance bonus Hybrid working (3 days ...

services, ingress, Helm, Kustomize, HPA, and RBAC CI/CD pipelines GitHub Actions, GitLab CI, Jenkins, or equivalent Infrastructure as code Terraform Cloud platforms AWS, GCP, or Azure Job Title: Senior Software Engineer Location: Sheffield, UK Rate/Salary: 550.00 - 600.00 GBP Daily Job Type: Contract Trading as TEKsystems. Allegis ...

similar languages, significantly reducing manual toil across our production environment Design and implement scalable, fault-tolerant infrastructure solutions on public cloud providers (AWS, GCP, Azure) to support WRITER's rapidly expanding, high-traffic AI platform Own the reliability, performance, and efficiency of WRITER’s core services, defining and upholding stringent … infrastructure engineering, DevOps, or a similar role focused on building and operating large-scale, high-availability production systems Deep expertise with cloud platforms (AWS strongly preferred), containerization technologies like Docker and Kubernetes, and Infrastructure-as-Code tools such as Terraform Strong proficiency in programming languages such as Python, Java ...

production-grade AI solutions for clients across government, healthcare, defence, and commercial sectors. Kainos is at the forefront of AI innovation, trusted by Microsoft, AWS, and others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine … grounding in software engineering best practices (CI/CD, testing, code reviews etc). Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker. Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data. Understanding of responsible ...

resilient infrastructure while cultivating top engineering talent. What You’ll Do: Architect and design scalable, resilient, high‐performance backend systems and platforms in AWS, prioritizing reliability, security, and cost efficiency. Contribute hands‐on to key initiatives—including design reviews, prototyping, coding, performance tuning, and debugging—typically 30% of your time … years of experience with Golang (preferred) and/or Java, plus strong computer science fundamentals (data structures, concurrency, distributed systems). Deep understanding of AWS cloud‐native architectures and services (e.g., ECS/EKS, Lambda, OpenSearch, DynamoDB, RDS, S3) and resilience patterns. Proficiency with microservices, API design, and event‐driven ...

production-grade AI solutions for clients across government, healthcare, defence and commercial sectors. Kainos is at the forefront of AI innovation, trusted by Microsoft, AWS and others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine … grounding in software engineering best practices (CI/CD, testing, code reviews etc). Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker. Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data. Understanding of responsible ...