Platform Engineer
Job Location:
Dallas, IA - USA
Hourly Salary:
USD 50 - 50
Posted:
25 October 2026 (8 hours ago)
Application Deadline:
22 January 2027
Vacancies:
1 Vacancy
Job Summary
Title: Platform Engineer
Location: Onsite -Day 1- Dallas TX
Open on contract and fulltime
F2F interview mandatory
Pay Rate-$50/hr on c2c
Job Description Role Purpose
Lead the design build and operation of a secure scalable migration platform to move object data from OBSv2 to AWS S3. The role focuses on reliable execution automation governance monitoring and production support for large-scale enterprise data migration.
Key Responsibilities
Own the end-to-end migration workflow from OBSv2 source buckets to AWS S3 destination buckets.
Build and operate AWS-based orchestration using Step Functions Lambda Fargate AWS Batch DynamoDB SQS and rclone.
Support both manifest-based and dynamic migration approaches including batching sharding task sizing and retry handling.
Implement governance for bandwidth allocation queue management prioritisation throttling and job tracking.
Build observability through CloudWatch dashboards logs metrics alerts health checks and progress reporting.
Support secure multi-account deployment IAM controls privacy safeguards testing performance tuning and production cutover.
Expected Deliverables
Production-ready migration orchestration platform supporting both manifest and no-manifest paths.
Hub-side governance for bandwidth control queue processing throttling and completion reporting.
Reusable rclone-based migration runtime with progress reporting and dynamic throttle support.
DynamoDB-backed job task queue bandwidth and summary state management.
CloudWatch dashboards alarms logs runbooks deployment automation and operational documentation.
Preferred Experience
Experience with Dell ECS OBSv2 or other S3-compatible enterprise object storage platforms.
Experience delivering enterprise-scale migrations in regulated production environments.
Experience with hub-and-spoke operating models across multiple AWS accounts.
Ability to produce clear technical documentation and leadership-ready reporting.
Mandatory Technical Skills
AWS Serverless
Hands-on experience with AWS Lambda Step Functions SQS SNS EventBridge API Gateway SSM Parameter Store and Secrets Manager.
AWS Compute and Containers
Strong working knowledge of ECS Fargate AWS Batch container task definitions sidecar patterns resource sizing and runtime environment configuration.
AWS Storage
Deep understanding of Amazon S3 S3 Intelligent-Tiering S3-compatible APIs object metadata prefix structures large object transfers and lifecycle considerations.
Object Storage Migration
Experience migrating large object datasets from on-premises or S3-compatible platforms such as Dell ECS/OBSv2 to AWS S3.
rclone
Hands-on experience configuring and operating rclone for high-volume transfers including transfers checkers retries checksum validation no-traverse behaviour stats logs and bandwidth limiting.
Python Development
Strong Python skills for Lambda and Fargate services including boto3 JSON processing exception handling logging dataclasses streaming files and API integration.
DynamoDB
Ability to design and operate DynamoDB tables keys indexes scans updates batch writes Decimal handling and state-management patterns.
Networking
Understanding of AWS Direct Connect Transit Gateway VPCs private subnets routing S3 Gateway Endpoints NAT Gateway scoping and high-throughput network design.
IAM and Security
Strong knowledge of IAM roles cross-account access STS assume-role API keys Secrets Manager least-privilege design and secure operational access.
Observability
Experience with CloudWatch metrics logs alarms dashboards structured logging operational telemetry and migration progress reporting.
CI/CD and Deployment
Experience with GitLab repositories CI/CD pipelines environment-specific configuration infrastructure deployment and safe teardown procedures.
Know-How Skills and Domain Understanding
Understand large-scale object storage migration patterns including manifests prefix-based partitioning batching and validation.
Balance migration performance across data volume object count compute resources network capacity and rclone concurrency.
Design fair bandwidth allocation throttling queue handling retry and escalation models for production migrations.
Apply strong operational discipline across monitoring runbooks restart procedures completion checks and stakeholder reporting.
Maintain clear technical documentation architecture notes input contracts implementation details and support procedures.
Location: Onsite -Day 1- Dallas TX
Open on contract and fulltime
F2F interview mandatory
Pay Rate-$50/hr on c2c
Job Description Role Purpose
Lead the design build and operation of a secure scalable migration platform to move object data from OBSv2 to AWS S3. The role focuses on reliable execution automation governance monitoring and production support for large-scale enterprise data migration.
Key Responsibilities
Own the end-to-end migration workflow from OBSv2 source buckets to AWS S3 destination buckets.
Build and operate AWS-based orchestration using Step Functions Lambda Fargate AWS Batch DynamoDB SQS and rclone.
Support both manifest-based and dynamic migration approaches including batching sharding task sizing and retry handling.
Implement governance for bandwidth allocation queue management prioritisation throttling and job tracking.
Build observability through CloudWatch dashboards logs metrics alerts health checks and progress reporting.
Support secure multi-account deployment IAM controls privacy safeguards testing performance tuning and production cutover.
Expected Deliverables
Production-ready migration orchestration platform supporting both manifest and no-manifest paths.
Hub-side governance for bandwidth control queue processing throttling and completion reporting.
Reusable rclone-based migration runtime with progress reporting and dynamic throttle support.
DynamoDB-backed job task queue bandwidth and summary state management.
CloudWatch dashboards alarms logs runbooks deployment automation and operational documentation.
Preferred Experience
Experience with Dell ECS OBSv2 or other S3-compatible enterprise object storage platforms.
Experience delivering enterprise-scale migrations in regulated production environments.
Experience with hub-and-spoke operating models across multiple AWS accounts.
Ability to produce clear technical documentation and leadership-ready reporting.
Mandatory Technical Skills
AWS Serverless
Hands-on experience with AWS Lambda Step Functions SQS SNS EventBridge API Gateway SSM Parameter Store and Secrets Manager.
AWS Compute and Containers
Strong working knowledge of ECS Fargate AWS Batch container task definitions sidecar patterns resource sizing and runtime environment configuration.
AWS Storage
Deep understanding of Amazon S3 S3 Intelligent-Tiering S3-compatible APIs object metadata prefix structures large object transfers and lifecycle considerations.
Object Storage Migration
Experience migrating large object datasets from on-premises or S3-compatible platforms such as Dell ECS/OBSv2 to AWS S3.
rclone
Hands-on experience configuring and operating rclone for high-volume transfers including transfers checkers retries checksum validation no-traverse behaviour stats logs and bandwidth limiting.
Python Development
Strong Python skills for Lambda and Fargate services including boto3 JSON processing exception handling logging dataclasses streaming files and API integration.
DynamoDB
Ability to design and operate DynamoDB tables keys indexes scans updates batch writes Decimal handling and state-management patterns.
Networking
Understanding of AWS Direct Connect Transit Gateway VPCs private subnets routing S3 Gateway Endpoints NAT Gateway scoping and high-throughput network design.
IAM and Security
Strong knowledge of IAM roles cross-account access STS assume-role API keys Secrets Manager least-privilege design and secure operational access.
Observability
Experience with CloudWatch metrics logs alarms dashboards structured logging operational telemetry and migration progress reporting.
CI/CD and Deployment
Experience with GitLab repositories CI/CD pipelines environment-specific configuration infrastructure deployment and safe teardown procedures.
Know-How Skills and Domain Understanding
Understand large-scale object storage migration patterns including manifests prefix-based partitioning batching and validation.
Balance migration performance across data volume object count compute resources network capacity and rclone concurrency.
Design fair bandwidth allocation throttling queue handling retry and escalation models for production migrations.
Apply strong operational discipline across monitoring runbooks restart procedures completion checks and stakeholder reporting.
Maintain clear technical documentation architecture notes input contracts implementation details and support procedures.
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Required Experience:
IC