Cloud Migration Engineer

Recrivio; Bengaluru; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Recrivio is seeking a highly skilled AWS Cloud Migration Engineer to support a high-visibility on-prem to cloud migration project in Bengaluru. You will drive workload discovery, capacity planning, platform configuration, migration execution, validation, performance tuning, and decommissioning of legacy hosts.

The role requires hands-on engineering experience, a structured delivery mindset, and strong collaboration with application, infrastructure, and platform teams to execute migrations safely

Qualifications

• Education: Bachelor's or Master's degree in Computer Science, Engineering, Applied Mathematics, or related quantitative discipline.
• 3–5 years hands-on engineering experience in a collaborative, team-based environment.
• Programming: proficiency in Python, Java or similar language.
• Strong Unix/Linux fundamentals with ability to troubleshoot on deployment and runtime issues.
• Familiarity with SDLC, CI/CD, change management, and Kubernetes-based deployments.
• Experience across AWS compute and migration patterns (ECS, EKS, Lambda).
• Experience with Python, Java, Shell for automation.
• RESTful APIs, API design, and API Gateway patterns.
• GitLab, Jenkins, Maven, or similar for automated pipelines.
• Batch scheduling platforms like Autosys, Control-M, Cron.

Responsibilities

• Assess on-prem hosts and perform discovery across processes to determine migration readiness.
• Analyze workloads for cloud compute placement based on criticality and resiliency.
• Plan and provision required cloud infrastructure capacity for migration and testing.
• Execute UAT and production parallel testing, capture evidence and troubleshoot.
• Perform performance tuning to ensure stable, scalable, production-ready workloads.
• Collaborate with cross-functional teams to finalize migration plans and rollouts.
• Manage release readiness, deployments, and post-release validation.
• Support legacy on-prem decommissioning after migration.
• Design automation frameworks and AI-assisted solutions for large-scale migrations.
• Document procedures, risks, and best practices to improve execution.

Skills

Python

Java

Unix/Linux

CI/CD

Kubernetes

AWS

Automation

REST APIs

Batch Scheduling

Problem Solving

Education

Bachelor's or Master's degree in Computer Science / related field

Tools

GitLab

Jenkins

Maven

Autosys

Control-M

Cron

CloudWatch

Splunk

Job description

We are seeking a highly skilled AWS Cloud Migration Engineer to join the team and support a high-visibility on-prem compute-to-cloud compute migration project. This role will focus on workload discovery, capacity planning, platform configuration, migration execution, validation, performance tuning, automation, and legacy host decommissioning. The ideal candidate will bring strong hands-on engineering experience, a structured delivery mindset, and the ability to

collaborate effectively with application, infrastructure, and platform teams to execute migrations

safely and at scale.

Key Responsibilities

• Assess on-prem hosts and perform discovery across business processes, CPU, memory, storage, dependencies, and runtime patterns to determine migration readiness.
• Analyze workloads based on functionality, business criticality, resiliency requirements, and interruption tolerance to determine appropriate cloud compute placement.
• Plan and provision required cloud infrastructure capacity to support migration, testing, and production execution.
• Execute UAT and production parallel testing, compare outcomes, capture evidence, and troubleshoot discrepancies through closure.
• Perform performance tuning and optimization to ensure migrated workloads are stable, scalable, efficient, and production ready.
• Partner with application engineering, infrastructure, and platform teams to finalize migration plans, release approach, validation criteria, and rollback considerations.
• Manage release readiness, execute production deployment activities, and complete post release checkout and validation procedures.
• Support legacy on-premises host decommissioning after successful migration and validation.
• Design, enhance, and implement automation frameworks and AI-assisted solutions to enable repeatable, efficient, large-scale cloud migrations.
• Document migration procedures, operational learnings, risks, and best practices to improve the factory execution model.

Required Qualifications

Basic Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Applied Mathematics, or a related quantitative discipline.
• Experience: 3-5 years of hands-on engineering experience in a collaborative, team-based environment.
• Programming: Professional proficiency in Python, Java or a similar programming/scripting language.
• Systems: Strong Unix/Linux fundamentals with the ability to troubleshoot application,
• deployment, environment, and runtime issues.
• Methodology: Familiarity with SDLC practices, CI/CD delivery models, change management, and Kubernetes-based deployments.
• Candidates are not expected to be experts in every tool, but should bring strong
• hands on experience across several of the following areas:
• AWS Services: Hands-on experience with AWS compute and migration patterns, including ECS, EKS, Lambda, CloudWatch, and related cloud services.
• Cloud Migration: Practical understanding of on-prem to cloud migration strategies, workload assessment, testing, cutover, and post-migration validation.
• Programming and Automation: Experience with Python, Java, Shell, or similar languages to build scripts, utilities, and automation frameworks.
• APIs and Integration: Working knowledge of RESTful APIs, API design, and API Gateway patterns.
• CI/CD and Version Control: Strong experience with GitLab, Jenkins, Maven, or similar tools supporting automated build, test, and deployment pipelines.
• Batch Scheduling: Experience with batch scheduling platforms such as Autosys, Control-M, Cron, or equivalent workflow orchestration tools.
• Observability: Familiarity with monitoring, logging, alerting, and troubleshooting using tools such as CloudWatch, Splunk, or equivalent platforms.
• Automation Excellence: Ability to design repeatable automation and apply AI-assisted engineering approaches to improve migration scale, quality, and efficiency.

Core Competencies:

• Exceptional analytical, troubleshooting, and debugging skills.
• Strong ownership mindset with the ability to drive work to closure and meet commitments.
• Clear written and verbal communication, including concise status updates, structured briefings, and proactive stakeholder management.
• Effective collaboration across application, infrastructure, platform, and global engineering teams.
• Ability to work constructively across time zones, build alignment, and resolve issues with urgency and professionalism.
• Strong integrity, sound judgment, and commitment to good conduct and ethical decision making.
• High energy, intellectual curiosity, and willingness to surface risks early, ask thoughtful