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OBSv2 to AWS S3 Migration Platform

HyrUS Inc. · DALLAS, TX, US · Vor Ort · Senior

  • DALLAS, TX, US · Vor Ort

Indexiert (vor 3 Tagen) · laufend aktualisiert

Start
flexible
Arbeitsmodell
Vor Ort
Vertrag
Freelance / B2B
Erfahrungslevel
Senior
Referenz
91175618

Geforderte Skills

Jobbeschreibung

Project overview

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.

Job Facts: Full Time | Part Time | On-site | USD 120000-120000/yr

Skills: API, GITLAB, AWS LAMBDA, AMAZON S3, AWS, CI/CD

Reference: Dice Id: 91175618

Project details

  • Start: flexible
  • Remote: onsite
  • Location: DALLAS, TX, US, US

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