Cloud Migration Consultant

Role Overview

Avashya is an AI-first, platform-led services company founded by engineers and specialists with experience at AWS and Microsoft. This role owns enterprise cloud migration and modernisation work end to end: moving clients off infrastructure that holds them back and onto cloud foundations they can build on.

Responsibilities

• Extend migration and modernisation accelerators, including assessment tooling, landing-zone patterns, and reusable infrastructure code. Where a client estate breaks the template, build the pattern that handles it.

• Turn learning from each migration into reusable reference architectures, cutover runbooks, and tested rollback paths.

• Take client estates—such as monoliths, on-premise server fleets, and legacy data platforms—from discovery and dependency mapping through cutover and steady state.

• Choose the right modernisation depth per workload: rehost where speed matters, replatform onto managed services, or refactor to containers or serverless where the business case supports it.

• Stay accountable after cutover, including workload behaviour and cost.

• Make client-specific tradeoffs between big-bang cutovers and incremental strangler approaches.

• Hold workloads to cost and latency expectations throughout the move; a migration that lands slower or more expensive is a regression.

• Gate go-live on measured validation of data integrity, performance parity, security posture, and cost against the pre-migration baseline.

• Investigate cutover issues quickly with a rollback ready before it is needed.

• Review architecture and code, and mentor as the team grows.

Required Depth

Migration strategy and architecture:

• Practical command of the 7 Rs: knowing where rehost, replatform, and refactoring to containers or serverless are appropriate.

• Cloud landing zones and multi-account foundations, including account structure, guardrails, network topology, hybrid connectivity, and when well-architected defaults fail real estates.

• Discovery, dependency mapping, migration-wave sequencing, and cutovers that can be rolled back.

• Data migration that preserves consistency and validation without extended downtime.

Modernisation:

• Compute modernisation through containerisation, monolith decomposition, and serverless where it fits.

• Data and integration modernisation from legacy databases and ETL to managed and event-driven patterns.

• Infrastructure as code, CI/CD for infrastructure, and repeatable environment builds.

Cost, Security, and Validation:

• Right-sizing and source-estate baselining to prove the migrated workload is cheaper to run.

• Identity and access, encryption in transit and at rest, network segmentation, and regulated-data handling including HIPAA, GDPR, and data residency.

• Validation of data integrity, performance parity, and security posture against pre-migration baselines, including P50/P95/P99 latency where relevant.

Experience

2+ years of work experience with AWS Cloud Migration. Depth matters more than tenure.

Compensation

Top-of-market; pay reflects depth, not tenure.