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Forward Deployed Engineer - Infrastructure
Thought Machine · United States, New York, New York City
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What Thought Machine asks for
From Thought Machine's Forward Deployed Engineer - Infrastructure ad, checked 4 Nov 2026.
Cloud infrastructure deployment
Hands on work designing and preparing cloud infrastructure for large scale systems, including planning for high availability, disaster recovery, redundancy, and security.
Terraform and automation
Experience using automation and configuration management tools such as Terraform, Puppet, Chef, or Ansible to manage infrastructure.
Technical consulting and communication
Acting as a technical interface for clients, explaining technical concepts to stakeholders and acting as a bridge between product engineering and delivery teams.
Mission critical production support
Experience supporting high profile, mission critical production systems, particularly for large financial institutions.
Based in New York City. The ad requires travel to client sites up to 25% of the time. Candidates are encouraged to apply even if their experience does not accurately match the description.
How the example answers the ad
Terraform and automation
“Provisioned scalable cloud environments using Terraform to support 5 major banking application rollouts”
Using Terraform to provision scalable environments for five major application rollouts answers the need for automation and configuration management tools.
Technical consulting and communication
“Delivered technical roadmaps to C-suite executives, resulting in a 30% increase in platform feature adoption”
Delivering roadmaps to C-suite executives shows the technical consulting and communication requirement through explaining concepts to high-level stakeholders.
Cloud infrastructure deployment
“Architected multi-region disaster recovery plans for tier-one financial clients, ensuring recovery time objectives under 15 minutes”
Planning for multi-region disaster recovery and recovery time objectives for tier-one clients covers the disaster recovery and high availability portions of cloud infrastructure deployment.
Mission critical production support
“Designed high-availability infrastructure for mission-critical ledger services supporting 10,000+ transactions per second”
Work on ledger services handling 10,000+ transactions per second provides the mission critical production support experience requested for large financial institutions.
The whole example as text
Amara Diallo · Forward Deployed Engineer
Summary
Forward deployed engineer with 6 years of experience delivering cloud infrastructure for global financial institutions. Orchestrates high-availability systems on AWS and GCP, ensuring 99.99% uptime for mission-critical banking applications. Streamlines deployment workflows through advanced Terraform automation and Kubernetes cluster management, reducing environment provisioning time by 45%. Communicates complex technical strategies to executive stakeholders and bridges the gap between engineering teams and enterprise client requirements.
Experience
Forward Deployed Engineer · Stripe
New York, NY · 2024 - Present
- Architected multi-region disaster recovery plans for tier-one financial clients, ensuring recovery time objectives under 15 minutes
- Managed Kubernetes migrations for enterprise partners, migrating 500+ microservices without service interruption
- Delivered technical roadmaps to C-suite executives, resulting in a 30% increase in platform feature adoption
Site Reliability Engineer · Goldman Sachs
New York, NY · 2022 - 2024
- Reduced incident response time by 40% through the implementation of customized Prometheus and Grafana alerting frameworks
- Led the optimization of cloud spending on AWS, cutting operational infrastructure costs by 22% annually
- Designed high-availability infrastructure for mission-critical ledger services supporting 10,000+ transactions per second
Cloud Infrastructure Engineer · JPMorgan Chase
New York, NY · 2021 - 2022
- Provisioned scalable cloud environments using Terraform to support 5 major banking application rollouts
- Automated continuous delivery pipelines that reduced manual deployment errors by 55%
- Collaborated with cross-functional teams to migrate legacy database workloads to cloud-native storage solutions
Software Engineer, Infrastructure · Capital One
McLean, VA · 2020 - 2021
- Built automated testing suites for internal cloud platforms, increasing deployment frequency by 20%
- Assisted in the hardening of cloud network architectures to meet stringent financial data security standards
- Developed custom monitoring scripts to track resource consumption across hybrid cloud environments
Education
Master of Science in Systems Engineering · Carnegie Mellon University
Pittsburgh, PA · 2018 - 2020
- Completed thesis on distributed fault-tolerant systems in cloud-native environments
- Graduated with 3.9 GPA and honors in software architecture research
Bachelor of Science in Computer Science · Georgia Institute of Technology
Atlanta, GA · 2014 - 2018
- Earned Dean's List honors for eight consecutive semesters
- Led undergraduate capstone project on automated banking security protocols
Skills
Frequently asked questions
Is the example from an employee?
No. It is an AI-written example for this ad, made to show how a resume can answer it.
Do I need to be an expert in every listed technology?
No. The ad states that you are encouraged to apply even if your experience does not accurately match the job description, and for the technical requirements, it asks for hands on experience of some or all of the listed tools.
Where do I apply?
On the official Thought Machine posting, through the job link on this page.
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