AWS Migration Engineer -OBSV2 to S3 Migration @need local to texas

Project overview

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

Expected Deliverables

Preferred Experience

Mandatory Technical Skills

AWS Serverless

AWS Compute and Containers

AWS Storage

Object Storage Migration

rclone

Python Development

DynamoDB

Networking

IAM and Security

Observability

CI/CD and Deployment

Job Facts: Contract Independent | Contract W2 | 12 Months | Hybrid | Depends on Experience

Skills: AWS, Migration, IAM, Networking, Dynamo DB, gateway, NAT, python, API, JSON, lambda, rclone, DELL ECS, serverles

Reference: Dice Id: 10500016 | Position Id: 9123875

• 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.
• 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.
• 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.
• Hands-on experience with AWS Lambda, Step Functions, SQS, SNS, EventBridge, API Gateway, SSM Parameter Store, and Secrets Manager.
• Strong working knowledge of ECS Fargate, AWS Batch, container task definitions, sidecar patterns, resource sizing, and runtime environment configuration.
• Deep understanding of Amazon S3, S3 Intelligent-Tiering, S3-compatible APIs, object metadata, prefix structures, large object transfers, and lifecycle considerations.
• Experience migrating large object datasets from on-premises or S3-compatible platforms such as Dell ECS/OBSv2 to AWS S3.
• 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.
• Strong Python skills for Lambda and Fargate services, including boto3, JSON processing, exception handling, logging, dataclasses, streaming files, and API integration.
• Ability to design and operate DynamoDB tables, keys, indexes, scans, updates, batch writes, Decimal handling, and state-management patterns.
• Understanding of AWS Direct Connect, Transit Gateway, VPCs, private subnets, routing, S3 Gateway Endpoints, NAT Gateway scoping, and high-throughput network design.
• Strong knowledge of IAM roles, cross-account access, STS assume-role, API keys, Secrets Manager, least-privilege design, and secure operational access.
• Experience with CloudWatch metrics, logs, alarms, dashboards, structured logging, operational telemetry, and migration progress reporting.
• Experience with GitLab repositories, CI/CD pipelines, environment-specific configuration, infrastructure deployment, and safe teardown procedures.

Project details

• Start: flexible
• Duration: 12 Months
• Remote: hybrid
• Location: Dallas, TX, US, US