426 to 450 of 4,825 Permanent AWS Jobs

scrums-based delivery), Confluence and Gitlab tooling is crucial Experience of delivering Infrastructure as Code (IaC) using tools such as Ansible/Terraform Broad knowledge of cloud services Azure, AWS, GCP Excellent written English, presentation skills with a strong attention to detail Excellent problem-solving ability and organization skills with a focus on goals and the ability to balance multiple More ❯

tools such as Junit. Extensive experience with scripting languages such as Python and Bash. Experience working in an Agile development environment. Experience with development on Commercial Cloud Platforms (e.g., AWS, Google Cloud, Azure). Experience with cloud data services (e.g., S3, RDS, EFS). Excellent written and verbal communication skills. Proficiency with version control systems. Experience using issue/problem More ❯

software engineering concepts and principles with a deep understanding of emerging technologies and industry trends Deep expertise of at least one programming language Deep understanding of cloud deployment (e.g. AWS, Azure) Linux scripting (e.g. bash) Deep understanding of data analysis methodologies and best practices A holistic understanding of the software development process, from design through to deployment, and associated project More ❯

experience Experience with full stack development frameworks and techniques including React, SpringBoot, Python Flask/Django, ReST, JMS, WebSockets, JSoN and XML serialization Strong knowledge in cloud environments, specifically AWS Ability to support infrastructure, platform, and application systems to develop, deploy and operate software systems Addresses complex development and software engineering problems in areas such as systems integration, compatibility, and More ❯

as a cloud-native pioneer, we have a proven track record in helping organizations leverage public cloud for quick wins, savings, and sustainable value. We are triple-certified across AWS, Azure, and Google Cloud, with over 1,300 employees across 10 European hubs, delivering over 1,000 successful cloud projects for companies of all sizes. Our expertise guides best practices More ❯

tools, such as JUnit. Proficiency in scripting languages like Python and Bash. Significant experience working in an Agile development environment. Extensive experience with development in commercial cloud platforms (e.g., AWS, Google Cloud, Azure). Experience with cloud data services (e.g., S3, RDS, EFS). Excellent communication skills, both written and verbal. Proficiency in using version control systems. Proficiency in using More ❯

and communication - able to break down complex problems, describe technical trade-offs, and collaborate with cross-functional partners (e.g. technical program managers, product managers) Bonus: Experience using Python and AWS in a production environment Bonus: experience with payments/financial software and/or experience with microservice/serverless architecture Compensation At GiveDirectly, we strive to pay our employees generously More ❯

and communication - able to break down complex problems, describe technical trade-offs, and collaborate with cross-functional partners (e.g. technical program managers, product managers) Bonus: Experience using Python and AWS in a production environment Bonus: experience with payments/financial software and/or experience with microservice/serverless architecture Compensation At GiveDirectly, we strive to pay our employees generously More ❯

testing performance tools, such as JUnit. Proficiency in scripting languages like Python and Bash. Experience working in an Agile development environment. Experience with development in commercial cloud platforms (e.g., AWS, Google Cloud, Azure). Experience with cloud data services (e.g., S3, RDS, EFS). Excellent communication skills, both written and verbal. Educational and Experience Requirements: Master's degree with 15+ More ❯

Ability to work in an Agile development environment Technical, diagnostic, and troubleshooting skills Understanding and knowledge of TypeScript, Docker and Mongo Knowledge and experience of cloud-based infrastructure, ideally AWS Proactive communicator with colleagues Desirable Skills: Knowledge of database management Linux system administration skills Experience or interest in CI/CD flowsand orchestration Monitoring, logging, and alerting for cloud-basedsoftware More ❯

scalable deployment of ML pipelines in production environments Knowledge of CloudOps practices, with expertise in managing scalable, cost-optimized, and resilient data and ML workloads across major cloud platforms (AWS, Azure, or GCP) Experienced in architecting scalable ML solutions on cloud platforms, leveraging cloud-native services for data pipelines, model deployment, and system reliability Deep understanding of DevOps principles, including More ❯

paid Life insurance 100% • Employer paid Short-term and Long-term disability 100% • Annual training, continued education, and professional memberships reimbursement • Unlimited access to Red Hat Enterprise Linux and AWS training and accreditation • Annual reimbursement for technology i.e. phones, computers, printers, etc. • 401(k) with company match up to 5% with 100% immediate vesting (after 90 days of employment) The More ❯

such as MySQL and PostgreSQL including data modelling, SQL scripts, store procedures Shift to the left: Functional test automation (API testing, UI testing cucumber, nightwatch ) Nice to have skills: AWS Knowledge of Open Source BPMN workflow engines (Camunda, Activiti or Flowable) Experience on a front-end javascript framework such as react, angular or vue.js RedHat OpenShift for container orchestration Knowledge More ❯

e.g., Ansible, Puppet, Chef). Expertise in setting up and maintaining monitoring systems (e.g., Prometheus, Grafana). Some other highly valued skills may include: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes). Ability to quickly diagnose and resolve production incidents. Strong interpersonal skills to work effectively with cross More ❯

e.g., Ansible, Puppet, Chef). Expertise in setting up and maintaining monitoring systems (e.g., Prometheus, Grafana). Some other highly valued skills may include: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes). Ability to quickly diagnose and resolve production incidents. Strong interpersonal skills to work effectively with cross More ❯

paid Life insurance 100% • Employer paid Short-term and Long-term disability 100% • Annual training, continued education, and professional memberships reimbursement • Unlimited access to Red Hat Enterprise Linux and AWS training and accreditation • Annual reimbursement for technology i.e. phones, computers, printers, etc. • 401(k) with company match up to 5% with 100% immediate vesting (after 90 days of employment) The More ❯

and timeframes. Mentoring of team members where necessary. What we're looking for: The highest level of proficiency developing applications using most of the following: C# ASP.NET, .Net Core AWS products like Lambdas, DynamoDB, etc but also comfortable in Azure and Azure devops Containerisation and IaC approach (Terraform it's definitely a plus) A good understanding of development methodologies and More ❯

and version control systems (e.g., GitHub). Strong communication skills with an ownership mindset and a focus on delivering high-quality outcomes. Desirable Experience (Nice to have): Experience with AWS, Tailwind CSS, PostgreSQL, Express, GraphQL, Terraform, .NET Core, or C#. Familiarity with multi-tenanted architecture and accessibility standards. Knowledge of mobile application development. Enthusiasm for using AI development tools (such More ❯

/alerting tools (e.g., Prometheus, Grafana, ELK stack). Proficient in Git or other version control systems. Desirable Knowledge, Skills and Experience: Certifications in OCI or other cloud platforms (AWS, GCP). Experience with security tools like OWASP ZAP, Burp Suite, etc. Familiarity with Jira, Confluence, or similar tools. Knowledge of compliance frameworks (e.g., GDPR, HIPAA, ISO 27001, ISO More ❯

these, but if not we'll help you with them Machine Learning softwaree.g. Amazon and Azure machine learning, or Google'sTensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration and deployment e.g. Ansible How we will support you Work-life balance is important; you can More ❯

these, but if not we'll help you with them Machine Learning softwaree.g. Amazon and Azure machine learning, or Google'sTensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational, document, or graph database systems Software configuration and deployment e.g. Ansible How we will support you Work-life balance is important; you can More ❯

across the data and ML engineering domain on technical approaches to balance delivering near-term commercial impact and building long-term foundations. Our Tech Stack Cloud Data Warehouse - Snowflake AWS Data Solutions - Kinesis, SNS, SQS, S3, ECS, Lambda Data Governance & Quality - Collate & Monte Carlo Infrastructure as Code - Terraform Data Integration & Transformation - Python, DBT, Fivetran, Airflow CI/CD - Github Actions More ❯

configuration, secrets, encryption, etc. • Use Infrastructure as Code (IaC) tools like Terraform or Ansible securely. • Scan IaC templates for misconfigurations (e.g., with Checkov, tfsec, Terrascan). • Secure cloud resources (AWS, Azure, GCP) using Cloud Security Posture Management (CSPM) tools. • Set up IAM policies, network segmentation, and encryption at rest/in transit. • Participate in threat modeling sessions with development teams. More ❯

information security. Knowledge of virtualization technologies such as VMware and Docker. Experience in developing and implementing disaster recovery plans and managing IT risks. Proficiency in major cloud platforms (e.g., AWS, Azure, GCP), Cloud Security and Data Management practices. Knowledge of DevOps practices and tools, such as CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes), helps in automating and streamlining More ❯

where applicable. Leverage existing security best practices while ensuring infrastructure remains compliant and secure. Requirements Technical proficiency Must haves: Deep understanding of DevOps principles, practices and tooling Expertise in AWS Expertise in using tools like Terraform to manage infrastructure configuration Expertise with containerisation and orchestration tools like Docker and Kubernetes Knowledge of building and maintaining CI/CD pipelines for More ❯