201 to 225 of 375 Amazon S3 Jobs

to off-hours deployment such as evening or weekends. Skills: Understanding of cloud architectures and enabling tools and technologies, such as, AWS Cloud (GovCloud/C2S) Familiar with Amazon Web Managed Services (AWS) Proficient … experience utilizing JavaScript, Angular, Typescript, Node.js, MongoDB, JSON, SQL, XML High experience level with back-end programming languages (Java/Spring, Python) Working knowledge with datastores MongoDB, DynamoDB, PostgreSQL, S3, Redshift, Redis, and Elasticsearch Familiar with technologies jQuery, ASP/.Net, NoSQL, PL/SQL, LDAP, HTTP, REST/SOAP, RDBMS Familiar with Configuration Management and CI Tools, such More ❯

requirements and translate them into technical specifications. Develop and consume RESTful APIs to enable seamless front-end and back-endcommunication. Integrate applications with cloud services such as AWS (EC2, S3, Lambda,RDS, etc for deployment and scalability. Write clean, efficient, and maintainable code following best practices. mentor junior team members and participate in code reviews. Utilize DevOps tools such … experience with React.js for front-end development. Proven experience building RESTful services and microservicesarchitectures. Proficient in SQL databases such as MySQL, PostgreSQL, or Oracle. Familiarity with AWS services (EC2, S3, Lambda, RDS, CloudFormation Working knowledge of version control tools like Git. Experience with CI/CD pipelines using Jenkins, Docker, Kubernetes, Maven,etc. Strong understanding of responsive design principles More ❯

and frontend in support of the U.S. government, but you will also contribute to core product development. You will develop APIs, integrate with various AWS services such as EC2, S3, Lambda, RDS, Fargate, and EKS along with focusing on scalability, security, cost, and performance of the software. You will collaborate with cross-functional teams, including satellite operators, customers, and … Next.js, Refine (or Blitz.js/RedwoodJS) • Strong knowledge of containerized applications and serverless architecture • Experience with Kubernetes and preferred experience with AWS services such as Lambda, ECS, EKS, CloudWatch, S3, EFS/EBS, EC2, and RDS • Strong knowledge of task automation and CI/CD pipeline building, preferably with GitHub actions but not required • Familiarity with Git and GitLab More ❯

related field, or equivalent professional experience. 3-8 years of experience in DevOps, Site Reliability Engineering, or Infrastructure roles. Strong experience with public cloud environments, particularly AWS (e.g., EC2, S3, RDS, IAM, EKS). Familiarity with AWS ETL services (e.g., Glue Jobs, Athena, Firehose). Experience with AWS migration tools (e.g., DMS, DataSync). Ability to manage AWS Organizations … architectures. Tech Stack: Cloud: AWS, OCI ZTN: Cloudflare Application: Kong (API Gateway), Java Spring Boot, Python, Go, TypeScript Monitoring: Prometheus Stack (Prometheus, Grafana, Loki) Compute: ECS, EC2, Lambda Frontend: S3, CloudFront Data: Glue, S3, PostgreSQL CI/CD: GitHub Actions IaC: Terraform, AWS SAM Why Join Us? At Intelmatix, you'll work on impactful technology alongside a global More ❯

AWS Public Sector Senior Cloud Architect - Databases The AWS Professional Services (ProServe) team is seeking a skilled Senior Delivery Consultant - Databases to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be … to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most … and priorities in a fast-paced environment - AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) and knowledge of the primary AWS services (EC2, ELB, RDS, Route53, S3) Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience More ❯

Proven experience in creating, managing, and deploying ML models using core AWS services such as Amazon SageMaker (for model building, training, and deployment), EC2 (for compute instances), S3 (for data storage), and Lambda (for serverless functions). o Experience with AWS Textract for document data extraction. o Demonstrable experience in designing, developing, and maintaining automated data processing … data ingestion, transformation, and storage strategies within the AWS ecosystem. o Experience in optimizing AWS resource usage for cost-effectiveness and efficiency in ML operations. o Experience with Amazon Bedrock for leveraging and managing foundation models in generative AI applications. o Knowledge of database services like Amazon RDS or Amazon DynamoDB for storing metadata More ❯

networks. Demonstrated experience working within cloud computing environments (AWS), Linux, and Unix-based operating systems. Demonstrated experience in platform and application automated deployment. Demonstrated experience using AWS to include S3, EBS, and EC2. Demonstrated experience using requirements tracking programs such as JIRA or Confluence. Demonstrated experience implementing DevSecOps CI/CD pipelines to support a multi-tenant environment. Demonstrated More ❯

experience working within cloud computing environments (AWS), Linux, and Unix-based operating systems. 6. Demonstrated experience in platform and application automated deployment. 7. Demonstrated experience using AWS to include S3, EBS, and EC2. 8. Demonstrated experience using requirements tracking programs such as JIRA or Confluence. 9. Demonstrated experience implementing DevSecOps CI/CD pipelines to support a multi-tenant More ❯

orchestration. Strong knowledge of networking technologies (LAN/WAN, SD-WAN, SASE, MPLS, VLAN, WiFi). Experience with modern storage solutions (SAN, NAS, vSAN, Pure Storage, Azure Blob, AWS S3). Proficiency in scripting (PowerShell, Python) and automation. Advanced understanding of backup, disaster recovery, and system hardening. Relevant certifications (AWS Solutions Architect, Azure AZ-305, CCNP) highly desirable. What More ❯

EventStoreDB). Strong programming skills in Golang, Python, and JavaScript/TypeScript. Experience with cloud-based data solutions (AWS, GCP, or Azure) and data warehousing. Experience working with AWS S3 for scalable storage solutions and OpenSearch for search functionality. Proficiency in developing and managing APIs using FastAPI. Experience using Trino for query optimization and distributed SQL processing. Proficiency in More ❯

retrieval-augmented generation pipelines Prompt engineering skills with demonstrated ability to optimize for specific outputs Production experience with AI features in customer-facing applications AWS fundamentals - comfortable with Lambda, S3, API Gateway, and basic cloud architecture Collaborative mindset - able to work effectively with full-stack engineers and product teams Experience with vector databases Nice to have AWS certifications (any More ❯

Framework - JPA/Hibernate Good knowledge and experience in Docker and Kubernetes 1+ years of experience in designing and Implementing cloud-based solutions in various AWS Services (EC2, IAM, S3, Lambda, etc) Experience with OAuth implementation using Ping Identity Familiarity with API Management (Apigee) and Service Mesh (Istio) Experience with Elasticsearch, Logstash & Kibana Good knowledge and experience in any More ❯

LLMs , Object Detection , and OCR Leveraging frameworks like Hugging Face Transformers , PyTorch , YOLO , OpenCV , and Pillow Designing and deploying AI services via FastAPI , AWS Lambda , EKS/ECS , and S3 Creating scalable data pipelines with Pandas , NumPy , SQLAlchemy , and Airflow Supporting real-time model inference, edge deployments, and API integrations Working closely with a technical lead in a service More ❯

Proficiency in scripting and programming languages like Python and Golang to drive automation, manage deployments, and create tooling. Cloud Connectivity: Expertise in AWS connectivity solutions and foundational services (e.g., S3, EC2, EBS). Experience in container management and orchestration with Docker and Kubernetes. Adaptability: Ability to quickly adopt and adapt to new technologies, frameworks, and cloud-native tools to More ❯

chance to learn and grow your skillset. We are looking for someone who can demonstrate an aptitude or willingness to learn some or all of the following technologies. AWS - S3, IAM, RDS, EMR, EC2, etc Linux Commands Trino Apache Spark Node.js JavaScript Preact.js Postgres MySQL HTML CSS Target Salary Range is $125k-$150k or more depending on experience. We More ❯

Core skills Languages: Node.js, TypeScript Front-end: Next.js and Vercel, Tailwind CSS Back-end: OpenAPI Infrastructure: AWS (ECR, ECS, Fargate, Elasticache/Redis, SQS, SES, Cognito, RDS, Bedrock, KMS, S3) Databases: MongoDB and PostgreSQL This is a hybrid role - 4 days per week in office (London N1) and 1 day remote A starting salary in the region of c More ❯

Object Detection, YOLO v8, SAM, Stable Diffusion (2.1, 2.x, tiny-SD) Frameworks: Python (scikit-learn, pandas, NumPy), Keras, TensorFlow, Pyspark, Streamlit Data Visualization Tools: Matplotlib, Seaborn, Advanced Excel Cloud: S3, Lambda, API Gateway, EC2, Athena, Glue, OpenSearch, Bedrock, SageMaker, Azure Functions, Azure SQL, Azure ML Studio, GCP Vertex AI, GitHub Database: MySQL, Postgres, BigQuery Location: Preferred Sunnyvale/Bay More ❯

services as required Essential Requirements 3+ years consulting/managed services experience Solid Data Lake experience with AWS data solutions (Redshift, Glue, Athena, Lake Formation) Advanced AWS skills (EC2, S3, VPC, IAM, Lambda) Infrastructure as Code experience (CloudFormation/Terraform) AWS Solutions Architect Associate certification Strong communication and presentation abilities Desirable Skills Azure fundamentals knowledge FinOps and cost management More ❯

Excellent knowledge of Kubeflow and similar systems, e.g. MLflow Good programming ability in Python with familiarity with Linux systems including scripting and system configuration. Experience using AWS, e.g, Cognito, S3, EC2, Lamdas, etc. Experience with ML toolkits, e.g. PyTorch, Lightning, etc., along with a solid understanding of how these fit into ML Ops pipelines and tools. Be able to More ❯

U.S. Citizenship required Nice to have, but not required: • Creating and editing Helm charts • Deploying and working with Argo CD and Argo Workflows • Creating GitLab CI jobs • Familiar with S3/MinIO and related APIs • Publishing and subscriber queues like RabbitMQ or Kafka More ❯

Excellent problem-solving and communication skills Solid understanding of software engineering principles (testing, version control, CI/CD) Nice to Have Experience with AWS services such as Glue, Aurora, S3, and RDS Ability to design and optimize schemas for structured and semi-structured data Familiarity with authentication protocols (OAuth2, API keys) Experience working with highly diverse datasets in technically More ❯

Demonstrated experience with the ability to consume complex REST APIs. • Demonstrated experience with tools, languages, and frameworks: Python, PySpark, JavaScript, Vue, Nuxt.js, and Viz.js • Demonstrated experience with AWS services: S3 and EC2. • Demonstrated experience with databases: relational, graph (Neo4J/Graph-Tool), and NoSQL/document (MongoDB). • Demonstrated experience deploying software using: Linux, Docker, and Kubernetes Why Go More ❯

data engineers and support their growth. Implement best practices for data security and compliance. Collaborate with stakeholders and external partners. Skills & Experience: Strong experience with AWS data technologies (e.g., S3, Redshift, Lambda). Proficient in Python, Apache Spark, and SQL. Experience in data warehouse design and data migration projects. Cloud data platform development and deployment. Expertise across data warehouse More ❯

like Burp Suite, ZAP, Metasploit, Checkmarx, andAppScan.Hands-on experience with DAST and SAST tools such as IBM AppScan, HP WebInspect, andAcunetix for vulnerability assessments.Practical experience with AWS services(EC2, S3, KMS, RDS) and security best practices relevant to cloud environments.Familiar with Azure cloud security architecture,VNets, and Azure DevOps pipelines.Proficient in Python, Perl, PHP, Java, and Objective Cfor security More ❯

on developer platforms or infrastructure tooling . Hands-on experience in software engineering, cloud architecture, or SRE. Deep technical understanding of AWS, including services like RDS, DynamoDB, Kinesis, IAM, S3, and others. Experience with PostgreSQL, MySQL, MongoDB, Cassandra, Redis, and other datastores. Confident communication skills and the ability to lead technical conversations and influence senior stakeholders. Strategic thinker with More ❯