Programming language knowledge - Java

India T&M Special Bonus:

Job Description: OBSv2 to AWS S3 Migration Platform Engineer

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.

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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, prioritization, 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.
  
  

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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.
  
  

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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.
  
  

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Mandatory Technical Skills

Skill Area Mandatory Skill Requirement

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 behavior, 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.

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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.