2,201 to 2,225 of 7,469 Permanent AWS Jobs

help the team make better product decisions through technical options, fast delivery and strong operational ownership. TECH STACK Backend: Node.js/TypeScript on AWS — serverless services using Lambda, API Gateway, DynamoDB, S3, SNS, SQS, EventBridge and Kinesis, alongside containerised workloads where needed Frontend: React Native/Expo/React/… Proven experience as a product‐minded backend, frontend or full‐stack engineer building and running production systems Strong Node.js/TypeScript experience, ideally with AWS and event‐driven or serverless architectures Experience building customer‐facing web or app features, preferably with React Native/Expo/React/Next.js ...

troubleshooting Support Windows environments (~30%), including core services such as Active Directory, DNS, RDS, and Group Policy Design, deploy, and manage infrastructure in AWS (primary cloud) including EC2, VPC, IAM, S3, and CloudWatch Support and maintain infrastructure in GCP environments (Compute Engine, Cloud Storage, IAM), as part of a multi … CloudWatch, Prometheus, Grafana, Zabbix) to ensure system health and performance Ensure backup, disaster recovery, and data protection strategies are in place and operational (Veeam, AWS Backup, GCP Backup and DR) Enforce security best practices, IAM policies, and compliance standards across hybrid and multi-cloud infrastructure Collaborate with DevOps, Security, Monitoring ...

tool servers (e.g. MCP) that connect AI agents to our data and services. Working in a multi-language, hybrid-cloud setting utilising Python, TypeScript, AWS, GCP and more, you'll build high-performance solutions while contributing innovative ideas for future capabilities. The goal is to provide clear user interfaces … generation systems, and ensuring applications meet performance and security requirements for enterprise deployment. Qualifications: Expert-level Python development experience building production applications Expert-level AWS experience, including Lambda, S3, and API Gateway Proven experience deploying and managing containerized applications Hands-on experience with Infrastructure as Code tools, particularly Terraform Experience ...

production environments Advanced proficiency in Python for building production-grade services and tooling Proficiency with automation and continuous delivery methods Hands-on experience with AWS and Terraform for infrastructure delivery and lifecycle management Strong understanding of site reliability engineering practices, including incident management, root-cause analysis, runbooks, and reliability patterns ...

/Swift and Android/Kotlin understanding; deep mobile specialization is not required Database: PostgreSQL – strong data modeling, query optimization, transactions, and scaling Cloud: AWS, containers, deployment pipelines, monitoring, security, and modern CI/CD Core Engineering: APIs, distributed systems, scalability, reliability, system design, and secure financial infrastructure What Success … reviews, technical decision‐making, mentoring, code reviews, and engineering standards. Strong PostgreSQL fundamentals, including data modeling, transaction handling, query optimization, and scale. Experience with AWS and modern cloud engineering practices such as containers, CI/CD, monitoring, deployment pipelines, and security. Strong communication skills and the ability to work directly ...

ship it, you operate it” culture with a strong emphasis on ownership, experimentation, and continuous improvement. Frontend : React, TypeScript, Storybook Backend: Python (Django) Infrastructure: AWS, Docker, ECS, PostgreSQL, Redis, SQS, SNS Tooling & Delivery :GitHub, GitHub Actions, CI/CD pipelines Testing: Strong focus on unit, integration … decisions and priorities. Bonus points if you have experience with: High-traffic consumer or marketplace platforms Integration and E2E testing using Cypress or Playwright AWS-based distributed systems and observability tooling Our Ways of Working: We all come into the office on Tuesdays and Thursdays , with the option to work ...

maintenance of CI/CD pipelines. Contribute to creation and maintenance of automated test scripts. Use GenAI in the form of GitHub Copilot or AWS Kiro to embed quality early in the AI-DLC to reduce risk and accelerate defect-free product development. Skills and experience Below is an overview ...

Doing Building C#/.NET/ASP.NET Core applications Designing APIs & microservices Working on high-volume, transaction-heavy platforms Deploying to Azure/AWS Owning features end-to-end in a product team What Youll Need Strong C#/.NET Core/Web API experience Solid SQL/database skills ...

pipelines, multi-agent systems or LLM-based products at enterprise scale Deep hands-on experience with at least one major cloud AI platform (AWS Bedrock, GCP Vertex AI or Azure AI Studio) Experience designing eval frameworks, red-teaming processes and quality measurement for AI systems A portfolio or track record … awareness Deep practical experience with: Agentic frameworks: LangGraph, LangChain, CrewAI, Agentforce or similar Foundation model providers: Claude Code/Codex/Gemini, OpenAI or AWS Bedrock Vector databases: Pinecone, Weaviate, LlamaIndex or pgvector Cloud platforms: AWS Bedrock, GCP Vertex AI or Azure AI Studio CI/CD for AI: version ...

support junior/mid-level engineers and act as a technical point of contact across teams. Skills, Knowledge & Expertise Hands-on cloud security experience — AWS, Azure, or GCP. Either: Advanced Splunk (SPL); YARA, and EDR detection logic. or Experience with Cribl, Kinesis, S3, Amazon Security Lake, and OCSF/data ...

support junior/mid-level engineers and act as a technical point of contact across teams. Skills, Knowledge & Expertise Hands-on cloud security experience — AWS, Azure, or GCP. Either: Advanced Splunk (SPL); YARA, and EDR detection logic. or Experience with Cribl, Kinesis, S3, Amazon Security Lake, and OCSF/data ...

support junior/mid-level engineers and act as a technical point of contact across teams. Skills, Knowledge & Expertise Hands-on cloud security experience — AWS, Azure, or GCP. Either: Advanced Splunk (SPL); YARA, and EDR detection logic. or Experience with Cribl, Kinesis, S3, Amazon Security Lake, and OCSF/data ...

pipelines, multi‐agent systems or LLM‐based products at enterprise scale Deep hands‐on experience with at least one major cloud AI platform (AWS Bedrock, GCP Vertex AI or Azure AI Studio) Experience designing eval frameworks, red‐teaming processes and quality measurement for AI systems A portfolio or track record … awareness Deep practical experience with: Agentic frameworks: LangGraph, LangChain, CrewAI, Agentforce or similar Foundation model providers: Claude Code/Codex/Gemini, OpenAI or AWS Bedrock Vector databases: Pinecone, Weaviate, LlamaIndex or pgvector Cloud platforms: AWS Bedrock, GCP Vertex AI or Azure AI Studio CI/CD for AI: version ...

thrive in collaborative field teams, enjoy mentoring others, and value clear, concise communication and documentation. You are familiar with cloud platforms (such as AWS, Azure, or GCP) and how SaaS and edge platforms integrate into broader enterprise architectures. You have empathy for developers and a passion for great developer experience ...

Doing Building C#/.NET/ASP.NET Core applications Designing APIs & microservices Working on high-volume, transaction-heavy platforms Deploying to Azure/AWS Owning features end-to-end in a product team What You'll Need Strong C#/.NET Core/Web API experience Solid SQL/database ...

/mid-level engineers and act as a technical point of contact across teams. Skills, knowledge and expertise or Hands-on cloud security experience — AWS, Azure, or GCP. Either: Advanced Splunk (SPL); YARA, and EDR detection logic. Experience with Cribl, Kinesis, S3, Amazon Security Lake, and OCSF/data normalisation. ...

Active Workspace customizations Familiarity with P&O, ACLs, Workflows, Rules, Preferences etc. Experience with SAFe (Scaled Agile Framework) and AZURE DevOps (ADO). AWS skills working in PLM TC environment AI Exposure - any of AWS Kiro, Codex, Claude, Python, etc. skills Benefits provided: 401K, medical, dental, and vision, sick time ...

with global delivery footprint With 3,800+ people and revenues exceeding 347m/£302m , our client is a market leader in Oracle, Microsoft, and AWS consulting services and one of the fastest-growing digital consultancies in Europe. Job Description Senior Oracle Cloud Technical Consultant YOU MUST BE SC CLEARED ...

with global delivery footprint With 3,800+ people and revenues exceeding €347m/£302m , our client is a market leader in Oracle, Microsoft, and AWS consulting services and one of the fastest-growing digital consultancies in Europe. Job Description Senior Oracle Cloud Technical Consultant YOU MUST BE SC CLEARED ...

with global delivery footprint With 3,800+ people and revenues exceeding €347m/£302m , Version 1 is a market leader in Oracle, Microsoft, and AWS consulting services – and one of the fastest-growing digital consultancies in Europe. Senior Oracle Cloud Technical Consultant YOU MUST BE SC CLEARED OR ELIGIBLE ...

input and evidence Guide secure coding practices, authentication/authorization, API security, secrets management, and secure deployment patterns Contribute to security monitoring, including IAM, AWS WAF, SIEM rules, alerting logic, and logging improvements Participate in security alert triage, investigation, incident response, and on-call rotation Collaborate with engineering teams …/DAST/SCA/secret scanning, IaC/dep scanning) Proficiency in Python or another high-level language (Go, Java) Good understanding of AWS security concepts (IAM, WAF, Kubernetes, containers, IaC) Experience with security monitoring, SIEM use cases, logging, and WAF tuning Familiarity with security and compliance frameworks (NIST ...

artificial intelligence, machine learning, mobile, etc.) Preferred Qualifications, Capabilities, and Skills: Familiar with modern front-end technologies and frameworks Exposure to cloud technologies, especially AWS (Amplify, S3, Lambda) Experience with front-end build tools and bundlers (Webpack, Babel, npm, Yarn) Experience with testing frameworks and tools (Jest, React Testing Library ...

Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data … orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside automated cost‐control systems (such as Karpenter, Infracost, OpenCost, or Cloud Custodian). Domain & Sector Experience Regulated Industries ...

Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data … orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside automated cost‐control systems (such as Karpenter, Infracost, OpenCost, or Cloud Custodian). Domain & Sector Experience Regulated Industries ...

Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying and maintaining data … orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside automated cost‐control systems (such as Karpenter, Infracost, OpenCost, or Cloud Custodian). Domain & Sector Experience Regulated Industries ...