Effectual Logo

Effectual

Cloud Migration Engineer - Contract

Job Posted 8 Days Ago Posted 8 Days Ago
Remote
Mid level
Remote
Mid level
The AWS Cloud Migration Engineer will lead cloud migration projects to AWS, utilizing AWS tools and services, and providing technical guidance to clients and internal teams.
The summary above was generated by AI

Position Summary

The AWS Cloud Migration Engineer will be an integral member of a migration team assisting clients who are migrating from on-premises infrastructure or VMC to AWS cloud native services. You will work with a technical leader to implement, and manage, and migrate workloads to AWS cloud environments, while maintaining optimal migration strategies for diverse application portfolios. The engineer will utilize AWS-native services, containerization, serverless architectures, and advanced analytics capabilities to modernize and migrate applications, ensuring seamless transitions that align with best practices and the Well-Architected Framework. The engineer will lead clients through Assess, Mobilize, and Migrate phases of an AWS MAP migration. This positions reports to Sr Director, Cloud & Migration.

A Glimpse into the Daily Routine of a Cloud Migration Engineer

As an AWS Cloud Migration Engineer, you will be responsible for planning, executing, and optimizing cloud migration projects on the AWS platform. You will leverage your expertise in AWS migration tools and methodologies to ensure successful and efficient migrations for our clients. Additionally, you will provide technical leadership and mentorship to customer engineers as they begin to adopt AWS services.

Responsibilities

  • Utilize AWS migration tools and methodologies to assess, plan, and execute migrations of workloads to the AWS platform.
  • Design, deploy, and maintain scalable and highly available cloud infrastructure solutions.
  • Collaborate with cross-functional teams to ensure seamless application migrations across compute, storage, networking, and security.
  • Utilize AWS services such as AWS Migration Hub (MGN) Database Migration Service to facilitate migrations
  • Implement and manage cloud services and resources, such as virtual machines, containers, storage, networking, and serverless computing
  • Develop and maintain automation scripts and infrastructure-as-code (IaC) templates to streamline the provisioning and configuration of cloud resources
  • Monitor and optimize cloud infrastructure performance, ensuring efficient resource utilization and cost optimization
  • Provide technical guidance and expertise to client cloud engineers and support teams as they adopt AWS
  • Collaborate with security teams to implement and enforce cloud security measures, including access controls, encryption, and threat detection.
  • Support incident response and troubleshooting of cloud infrastructure-related issues, ensuring minimal service disruptions

Qualifications

  • 4+ year of experience developing AWS cloud infrastructure
  • 2+ years Hands-on experience with AWS migration services such as AWS Migration Hub (MGN), Database Migration Service (DMS), and AWS Cloud Migration Services.
  • Solid experience planning and executing cloud migration projects, preferably on the AWS platform, including Mobilize (wave planning) and Migrate phases of an AWS Migration.
  • Proficient in developing Infrastructure-as-Code (e.g.: Terraform / AWS CloudFormation)
  • Work with multiple clients, in parallel
  • Experience with AWS including core services and infrastructure components
  • Proficiency in scripting and automation using languages like Python, PowerShell, or Bash
  • 2+ years experience with infrastructure-as-code tools such as Terraform or CloudFormation

Nice to have

  • Experience with log management, monitoring, and data analysis
  • Familiarity with virtualization, containerization, and orchestration technologies (e.g., Docker, Kubernetes)
  • Knowledge of networking concepts and protocols, including virtual private clouds (VPCs), subnets, load balancers, and DNS
  • Understanding of cloud security principles and best practices, including access controls, encryption, and security groups
  • Experience in data and database management, including data integration, ETL processes, SQL query optimization, and database administration
  • Familiarity with relational databases (e.g., MySQL, PostgreSQL, SQL Server) and NoSQL databases (e.g., MongoDB, Cassandra)
  • Strong problem-solving and troubleshooting skills, with the ability to diagnose and resolve cloud infrastructure and data-related issues
  • Effective communication and collaboration skills to work effectively with cross-functional teams and stakeholders in English language
  • Continuous learning mindset to stay updated with emerging cloud technologies and industry trends
  • Knowledge of Agile / Scrum SDLC methodologies
  • Ability to work Eastern Standard Time Zone schedule
  • AWS Solution Architect Associate Certification
  • Experience in VMWare hosted Virtual Machine Infrastructure
  • Cloud Cost Optimization (Right-Sizing, Cost Management Tools)

Location: Remote

This job description may not be inclusive of all assigned responsibilities, or aspects of the job described, and may be amended anytime at the sole discretion of the Employer. Responsibilities are subject to possible modification to reasonably accommodate individuals with disabilities. This document does not create an employment contract, implied or otherwise, other than an "at will" relationship. Effectual Inc. is an EEO employer and does not discriminate on the basis of any protected classification in its hiring, promoting, or any other job-related opportunity.

Top Skills

AWS
Aws Migration Hub
Bash
Cassandra
Containers
Database Migration Service
Docker
Kubernetes
MongoDB
MySQL
Postgres
Powershell
Python
Serverless Computing
SQL
Terraform

Effectual Seattle, Washington, USA Office

1730 Minor Avenue, Seattle, WA, United States, 98101

Similar Jobs

2 Hours Ago
Remote
Hybrid
Boston, MA, USA
140K-185K Annually
Mid level
140K-185K Annually
Mid level
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
As a Partner Solutions Engineer at Dynatrace, you'll provide technical support to the sales team, perform demos, manage projects, and engage with customers, focusing on log management and analytics.
Top Skills: .NetAnsibleAWSAzureCriblCSSFluentbitGCPGoHTMLJavaJavaScriptKqlLogstashNode.jsOpentelemetryPHPPuppetSplSQLTerraform
2 Hours Ago
Remote
Hybrid
Waltham, MA, USA
Expert/Leader
Expert/Leader
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Lead development and scaling of technical solutions for Dynatrace, collaborating with cross-functional teams to enhance product offerings and customer experience.
Top Skills: .NetDockerJavaLinuxNode.jsParallelsPHPVirtualboxVMwareWindows
3 Hours Ago
Remote
Hybrid
United States
175K-190K Annually
Senior level
175K-190K Annually
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Security • Software • Cybersecurity • Generative AI
Responsible for maintaining production environment reliability and availability, implementing automation for operational issues and collaborating with engineering teams on services and infrastructure improvements.
Top Skills: AWSDockerJavaKubernetesLinuxPerlPHPPythonRuby

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
By clicking Apply you agree to share your profile information with the hiring company.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account