Build secure, high-availability AWS infrastructures for new and existing applications.
Hire AWS developers to select appropriate services for compute, networking, and storage, architect multi-tier systems, and implement configurations that grow with your business.
Eliminate manual configuration and reduce deployment errors with infrastructure as code.
Hire AWS engineers to define your version-control infrastructure changes and automate resource provisioning across development, staging, production, and disaster-recovery environments.
Develop event-driven applications without managing servers.
Hire AWS Lambda developers to design API Gateway endpoints, orchestrate Step Functions workflows, integrate managed services for authentication and messaging, and tune cold-start performance.
Accelerate software delivery with automated build and deployment workflows.
Hire AWS DevOps engineers to configure CodePipeline or Jenkins for continuous integration, automate testing and security scanning, implement deployment strategies, and containerize applications.
Protect cloud resources with AWS security best practices.
Hire AWS cloud engineers to configure IAM roles and policies, set up VPC network segmentation and security groups, implement encryption, and establish monitoring.
Process and analyze large datasets with AWS data services.
Hire AWS data engineers to build ETL workflows using AWS Glue, move data into S3 data lakes and Redshift warehouses, set up Kinesis streams, and create analytics dashboards.
JAVA
Amazon EC2
Amazon S3
AWS Lambda
Amazon RDS
AWS CloudWatch
AWS EMR
AWS Kinesis
Amazon DynamoDB
AWS IAM
JAVA
AWS CloudFormation
Terraform
Docker
Kubernetes
Flexible sizing
Full OS control
Scalable capacity
Extreme durability
Unlimited storage
Secure access
No server management
Event-driven scaling
Pay-per-use
free requests per month
minute maximum execution time per function
Managed backups
Multi-AZ failover
Multiple engines
SQL database engines supported
Real-time monitoring
Custom metrics
Automated responses
AWS services natively integrated
Managed big data
Auto-scaling clusters
Multiple frameworks
faster performance than standard Apache Spark
Real-time processing
Scalable ingestion
Multiple data destinations
Low latency
Auto-scaling
NoSQL flexibility
lower cost of equivalent database environments
million+ customers
Fine-grained policies
Role-based access
Multi-account control
Repeatable infrastructure
Version-controlled config
No extra cost
year of launch (one of the first AWS IaC tools)
Multi-cloud support
Rich module ecosystem
Declarative syntax
of professional developers use Terraform
Consistent environments
Easy deployment
Portable containers
of professional developers use Docker
Automated scaling
Self-healing
Multi-service orchestration
of developers use Kubernetes
pay only the rates of hired AWS developers
hire across the USA, LATAM, and Eastern Europe
payroll, legal, admin,
and HR managed by DOIT
Access a vetted talent pool of 712 AWS specialists with proven experience in cloud architecture design, infrastructure automation, serverless development, and data pipeline engineering. Tell us what you need, and DOIT will match you with the first qualified AWS developers within 5 business days. From recruitment to post-hire support, DOIT will guide you every step of the way.
$55/hour
Cipolletti, Argentina
Full-time
Tech stack: Docker, AWS, Terraform, AWS CLI, AWS CloudFormation, Nginx, Jenkins, AWS EKS, Kubernetes, Apache, PostgreSQL, MySQL, Prometheus, Ansible
An AWS DevOps engineer with 6 years of commercial experience automating cloud infrastructure and deployment pipelines. Builds CI/CD workflows in Jenkins with automated testing and blue/green deployments, paired with containerized application stacks on Docker and EKS. Implements infrastructure as code with Terraform and AWS CloudFormation, and runs observability with Prometheus across AWS services. Has experience tightening AWS security through IAM policy design, KMS encryption, VPC segmentation, and audit-log review.
Full-time
$58/hour
Rzeszów, Poland
Full-time
Tech stack: AWS (EC2, RDS, Lambda, CloudFormation), GCP, Azure, Kubernetes, Docker, Terraform, Node.js, PostgreSQL, MongoDB, Redis, Kafka, Prometheus, Grafana
A cloud solutions architect with 8 years of commercial experience designing multi-cloud infrastructures across AWS, Google Cloud, Azure, and on-prem environments. Builds architecture blueprints for migrations from on-premises systems into AWS, with provider-appropriate service selection across compute, storage, databases, and networking.
Implements infrastructure as code with Terraform across cloud platforms and ships CI/CD pipelines on GitLab and Jenkins. Has experience leading platform migrations, multi-region rollouts, observability with Prometheus and Grafana, and cost optimization across multi-cloud setups.
Full-time
$54/hour
Liberec, Czechia
Full-time
Tech stack: AWS Lambda, Amazon API Gateway, DynamoDB, Amazon S3, Amazon SNS, Amazon SQS, Node.js, AWS Fargate, Docker, Redis, JavaScript
An AWS developer with 5 years of commercial experience building cloud-native applications on AWS serverless. Builds Lambda functions in Node.js to handle business logic and connects them via API Gateway for RESTful endpoints. Implements low-latency data persistence in DynamoDB and event handling across SNS, SQS, EventBridge, and Fargate-backed services. Has experience leading serverless project teams and mentoring engineers on AWS architecture patterns.
Full-time
$85/hour
San Antonio, TX, United States
Part-time (20 hrs/week)
Tech stack: AWS, AWS Redshift, Snowflake, AWS Glue, AWS Lambda, AWS Athena, Python, PySpark, Apache Airflow, AWS SQS.
A data engineer with 4 years of experience building end-to-end data infrastructure on AWS. Constructs data ingestion and ETL pipelines using AWS Glue, Airflow, and PySpark. Designs schemas for analytics and employs Lambda for data transformations. Has experience in data modeling and warehousing with AWS Redshift and Snowflake.
Part-time (20 hrs/week)
$49/hour
Lviv, Ukraine
Full-time
Tech stack: AWS IoT Core, AWS IoT Greengrass, Kinesis, AWS Lambda, Amazon DynamoDB, Timestream, MQTT, C++, Python.
An AWS IoT developer with 5 years of commercial experience connecting and managing IoT solutions on AWS. Builds device onboarding in AWS IoT Core and defines rules to route telemetry data into Kinesis and Lambda. Implements data transformations in Lambda before storing IoT streams in DynamoDB and Timestream for time-series queries. Has experience deploying AWS IoT Greengrass for local processing on edge devices and writing MQTT-based device firmware in C++ and Python.
Full-time
$50/hour
Brașov, Romania
Full-time
Tech stack: Amazon SageMaker, AWS Lambda, AWS Step Functions, Amazon S3, AWS Glue, TensorFlow, PyTorch, Amazon EC2, Amazon Rekognition.
A machine learning engineer with 6 years of commercial experience building and operationalizing ML models on AWS. Builds training and inference pipelines in Amazon SageMaker, with GPU-backed EC2 for model training and endpoint deployment. Implements ML workflow orchestration in Step Functions and preprocesses large datasets in AWS Glue against S3 data. Has experience deploying ML pipelines for image classification, recommendation systems, document processing, and Rekognition-powered vision tasks.
Full-time
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