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.