76 to 100 of 384 DemandTrendPermanent Amazon S3 Jobs

DevOps & more Collaborative Culture - Inclusive, tight-knit team that values innovation Competitive Pay & Perks - Up to £75K DOE + comprehensive benefits Your Toolkit Java & Spring Boot AWS (Lambda, ECS, S3, etc.) React.js CI/CD & DevOps tooling Bonus: AI/ML, Kubernetes, serverless architecture Security Clearance Note Due to the nature of our work, you'll need to be More ❯

own robust, scalable .NET Core microservices, shaping the backbone of our next-generation platform Containerize & Orchestrate: Assist in deploying and managing containerized applications using Docker and Kubernetes/Amazon ECS/Fargate Integrate & Innovate: Integrate NDDS microservices with a diverse ecosystem of enterprise (OpenShift, Kubernetes) and AWS cloud services, including MongoDB, Splunk, RabbitMQ, and Keycloak Streamline Delivery: Help More ❯

260k (will fluctuate pending experience) Qualifications: • 6-8+ years of experience in SRE, DevOps, or Cloud Engineering roles. • Hands-on experience with AWS GovCloud, including EC2, EKS, MSK, S3, RDS, IAM, CloudTrail, and CloudWatch. • Strong expertise in Infrastructure as Code (Terraform, Ansible). • Experience with FedRAMP, NIST 800-53, and cloud security best practices. • Proficiency in Kubernetes, Docker More ❯

integration and continuous delivery pipelines and developing strategic plans to introduce or improve DevOps best practices. REQUIRED SKILLS: • Documented Experience with DevOps/Platforms: Amazon Web Services (S3, RDS, EC2, ECS, Lambda, SQS, SNS, CloudFormation) • Experience implementing Infrastructure as Code and orchestration. • Experience with containerization technologies (Docker). • Excellent understanding of Python, Perl and Java. • Demonstrated experience … automating infrastructure build-out using Amazon Web Services (AWS). • Demonstrated experience utilizing DevOps tools, such as GitHub and Jenkins, to enable continuous integration and continuous delivery. • Demonstrated experience supporting and monitoring highly available, production web applications. • Demonstrated experience working with PKI certificates. • Demonstrated experience working with Agile Scrum based development team. • Demonstrated experience developing highly available systems … DESIRED SKILLS: • Experience developing Applications using the following technologies or something similar: SOLR, Elastic, RDS • Able to work with both relational and non-relational database systems such as Amazon RDS, DynamoDB, and Postgres. • Experience with troubleshooting of Internet and Web related protocols and technologies such as Tomcat, Nodejs, Web Services, or SSL. • Demonstrated hands-on experience and troubleshooting More ❯

troubleshoot, hardware and networks. The Contractor shall design, develop or maintain SQL-based databases. Systems Engineering DevOps Support: Demonstrated experience working with ElasticSearch. Demonstrated experience using AWS to include S3, EBS, and EC2. Demonstrated experience in platform and application automated deployment. Demonstrated experience in cloud deployment, DevOps, containerization, web service and API management, and computing optimization. Demonstrated experience in More ❯

or more high-level languages, such as Python, Java, C/C++, Ruby, and JavaScript - Experience with distributed storage technologies such as NFS, HDFS, Ceph, and Amazon S3, as well as dynamic resource management frameworks (Apache Mesos, Kubernetes, Yarn) - Proactive approach to identifying problems, performance bottlenecks, and areas for improvement Agile/Scrum experience. More ❯

Collaborate across disciplines and contribute to documentation, test strategies, and team processes. Work with SQL and NoSQL databases (PostgreSQL, MongoDB, Elasticsearch, Neo4j). Deploy and scale apps on AWS (S3, EC2, IAM, etc.). Required Skills/Experience: 8+ years of software development with strong expertise in Python. Experience building and supporting scalable backend systems. Deep knowledge of cloud More ❯

Continuous Integration/Continuous Deployment. Desirable Experience extracting, loading and transforming large data sets (>100GBs). Experience with schema evolution tools such as flyway or liquibase. Experience with AWS (S3, IAM, RDS). Translate internal data user needs into building BI Dashboards to answer their key business questions. Data capabilities outside of engineering (e.g. data catalogue, data modelling, data More ❯

is preferrable Solid understanding of networking protocols and concepts (TCP/IP, DNS, SSL/TLS, routing, etc.). Proficient with AWS services including EC2, ELB, VPC, IAM, CloudWatch, S3,VPC Lattice, Transit Gateway, VPN and more. Practical knowledge of DevOps tools: Git, Jenkins, Docker, Ansible, Terraform. Strong scripting skills (Bash, Python, or equivalent). Experience in managing production More ❯

analysis and self-serve data exploration Redis for caching and task queues GitHub , Codeship and Heroku for seamless code review, integration and deployment Claude Code for agentic coding AWS S3 , CloudFront and Lambda for storage and content delivery Cypress for end-to-end testing Third party APIs: OpenAI, Stripe, Twilio, Sendgrid, Mailchimp and more We follow an agile development More ❯

Lead development projects, data modelling, and cloud data platform deployments. Mentor data engineers and contribute to best practices across the team. Key skills: Strong experience with AWS data services (S3, Redshift, Glue, Lambda, Lake Formation, CloudFormation). Proficiency in SQL, Python (Pandas), Spark or Iceberg. Experience with data warehouse design, ETL/ELT, and CI/CD pipelines (GitHub More ❯

Lead development projects, data modelling, and cloud data platform deployments. Mentor data engineers and contribute to best practices across the team. Key skills: Strong experience with AWS data services (S3, Redshift, Glue, Lambda, Lake Formation, CloudFormation). Proficiency in SQL, Python (Pandas), Spark or Iceberg. Experience with data warehouse design, ETL/ELT, and CI/CD pipelines (GitHub More ❯

field. Professional certification in AWS (e.g., AWS Certified Solutions Architect, AWS Certified Developer, or AWS Certified SysOps Administrator) is highly preferred. Solid experience with AWS services such as EC2, S3, RDS, ELB, VPC, CloudFormation, etc. Experience with cloud automation and scripting tools (e.g., Terraform, CloudFormation, Ansible). Knowledge of programming and scripting languages such as Python, Bash, or JavaScript. More ❯

ll have the autonomy to make technical decisions and help shape how platform engineering is done as the team continues to scale. Tech stack AWS (Core services - EC2, RDS, S3, IAM, etc.) Configuration Management Ansible Monitoring and Observability Grafana, Prometheus Kubernetes (building and managing production clusters) Terraform (IaC provisioning) GitHub Actions (CI/CD pipelines) What They’re Looking More ❯

and automated cloud infrastructure. Key Responsibilities: Contribute to the re-platforming of legacy systems to a modern, serverless AWS architecture using services such as EKS, Lambda, Aurora, DynamoDB, EC2, S3, and API Gateway. Design, build and maintain CI/CD pipelines using GitHub Actions, focusing on automation, system stability and deployment efficiency. Implement Infrastructure as Code (IaC) with Terraform More ❯

AppSync. Communication Protocols: gRPC + protobuf, NATS, SQS Frameworks & Tools: Fiber, Express, Gin, Docker, AWS Amplify (plus) AWS Services: Lambda, ECS, ECR, RDS, CloudWatch, SQS, SNS, SES, Cognito, Redis, S3, CloudFront Testing: Jest, wire-mock, localstack Blockchain: Solana (Helius, Anchor framework, SPL token, Token 2022), Ethereum Monitoring: DataDog, CloudWatch Requirements 4+ years of backend development experience. Production experience with More ❯

s degree in computer science, Engineering, or a related field. 5+ years of experience in software development focusing on .NET technologies. Strong experience with AWS services such as EC2, S3, Lambda, RDS, and others. Proficiency in C# and .NET Core. Solid understanding of RESTful APIs and web services. Experience with database technologies like SQL Server, MySQL, or PostgreSQL. Familiarity More ❯

in database technologies (SQL Server, Redshift, PostgreSQL, Oracle). Desirable Skills: Familiarity with machine learning pipelines and MLOps practices. Additional experience with Databricks and specific AWS such as Glue, S3, Lambda Proficient in Git, CI/CD pipelines, and DevOps tools (e.g., Azure DevOps) Hands-on experience with web scraping, REST API integrations, and streaming data pipelines. Knowledge of More ❯

in database technologies (SQL Server, Redshift, PostgreSQL, Oracle). Desirable Skills: Familiarity with machine learning pipelines and MLOps practices. Additional experience with Databricks and specific AWS such as Glue, S3, Lambda Proficient in Git, CI/CD pipelines, and DevOps tools (e.g., Azure DevOps) Hands-on experience with web scraping, REST API integrations, and streaming data pipelines. Knowledge of More ❯

in database technologies (SQL Server, Redshift, PostgreSQL, Oracle). Desirable Skills: Familiarity with machine learning pipelines and MLOps practices. Additional experience with Databricks and specific AWS such as Glue, S3, Lambda Proficient in Git, CI/CD pipelines, and DevOps tools (e.g., Azure DevOps) Hands-on experience with web scraping, REST API integrations, and streaming data pipelines. Knowledge of More ❯

and helping us prevent problems before they happen What we’re looking for Solid background in DevOps, SRE, or Platform Engineering Strong AWS experience (VPC, EC2, ECS/EKS, S3, RDS, IAM, Route53) Good knowledge of Terraform and automation tools Hands-on with containers and orchestration (Docker, ECS/EKS, Helm) Experience with CI/CD pipelines (GitHub Actions More ❯

equivalent combination of education, technical training, or work/military experience. 6+ years of experience in DevOps/Data Engineering Extensive familiarity with AWS services to include CloudFormation, EC2, S3, and RDS CloudFormation, Ansible, Git, Jenkins, Bash Programming Languages: Python, Java or Scala Processing Tools: Elasticsearch, Spark, NiFi, and/or Docker Datastore Types: Graph, NoSQL, and/or More ❯

Join a tight-knit team that values innovation and inclusion Competitive Pay & Perks : Salaries up to £70K DOE + comprehensive benefits Ideal Skills: Java & Spring Boot AWS (Lambda, ECS, S3, etc.) React.js CI/CD & DevOps tooling Bonus: Experience with AI/ML, Kubernetes, or serverless architecture Important: Due to the nature of the work, SC Clearance eligibility is More ❯

Redux Visualization: Chart.js, D3.js, Recharts Backend: Django, MySQL, SQLite, Postgres, Redis Systems & Tools: Elasticsearch, WebSockets, Docker, Kubernetes, CI/CD, XP/Agile, Git, Linux (CentOS/RHEL), Cloud (S3, EC2, RDS), XKS Bonus: Software reverse engineering, prior CNO experience BENEFITS Healthcare: CareFirst BlueChoice (Medical & Vision) Dental: Delta Dental Disability: Guardian (Short & Long Term) ️ Life Insurance: Guardian 401k: Safe More ❯

labeling to enable data analytics. • Familiarity with various log formats such as JSON, XML, and others. • Experience with data flow, management, and storage solutions (i.e. Kafka, NiFi, and AWS S3 and SQS solutions) • Ability to decompose technical problems and troubleshoot both system and dataflow issues. • Must be certified DoD IAT II or higher (CompTIA Security+ highly preferred) • Willingness to … including unit and integration testing. • Python: Experience with Python is desired. • SQL: Familiarity with SQL schemas and statements. Tools and Technologies: • Data Flow Solutions: Experience with Kafka, NiFi, AWS S3, and SQS. • Version Control and Build Tools: Proficiency with Maven and GitLab. • Data Formats: Familiarity with JSON, XML, SQL, and compressed file formats. • Configuration Files: Experience using YAML files … for data model and schema configuration. • Apache NiFi: Significant experience with NiFi administration and building/troubleshooting data flows. • AWS S3: bucket administration. • IDE: VSCode, Intellij/Pycharm, or other suitable Technical Expertise: • ETL creation and processing expertise. • Experience with code debugging concepts • Expertise in data modeling design, troubleshooting, and analysis from ingest to visualization. • Conducted data model reviews More ❯