Staff Cloud Software Engineer

AeroVect

About The Position

We are looking for a seasoned Staff Cloud Software Engineer to join our team and take ownership of our cloud infrastructure, security posture, and developer tooling. In this role, you will architect, deploy, and operate scalable, fault-tolerant systems on AWS while driving engineering excellence across the organization. You will partner closely with engineering, security, and operations teams to build robust CI/CD pipelines, manage cloud costs, and mentor the next generation of engineers. This is a staff individual contributor or technical lead manager role with broad scope, high visibility, and the opportunity to shape how we build and run software at scale with high availability and safety critical impact.

Requirements

Bachelor’s or Master’s degree in Computer Science, Robotics, or a related field.
7+ years of experience building infrastructure and tooling for large-scale cloud operations.
Extensive hands-on experience with AWS development and administration, including ECS, ECR, and EC2.
Deep expertise in AWS IAM and user access management, including roles, policies, permission boundaries, and cross-account access patterns.
Proven experience with Google Workspace administration, including user lifecycle management, security settings, and integrations.
Strong proficiency with Terraform for infrastructure-as-code, including module design, state management, and remote backends.
Significant experience building and maintaining CI/CD pipelines using GitHub Actions and a variety of build, test, and deployment frameworks.
Demonstrated IT security experience spanning user account management, network security, and data and service access governance.
Experience managing virtualization technologies and related PaaS and SaaS solutions in AWS production environments.
A track record of designing and operating fault-tolerant, highly available systems in production at scale.
Experience with big data technologies such as DynamoDB, including data modeling, access patterns, and operational management.
Experience mentoring engineers and fielding platform or infrastructure support requests in a collaborative team environment.
Strong programming skills in Python and Bash for scripting, automation, and operational tooling.

Nice To Haves

Experience with additional AWS services including Lambda, Batch, SageMaker, and VPC design and management.
Experience with CloudFormation for automated provisioning.
Experience working with Autonomy or Robotics infrastructure.
Hands-on experience with ROS/ROS2 and robotic software deployment pipelines.
Proficiency in C++ development for performance-critical systems or systems programming contexts.
Experience working with AI in development support and project execution.
Engineering management or team lead experience, with a history of guiding technical direction and supporting team growth.
Familiarity with cloud cost optimization strategies.
Experience with cloud visualization, analytics, metrics, and dashboarding tools for operational visibility and observability.
Proficiency with Agile development methodologies and KPI-driven engineering practices.
Hands-on experience with Kubernetes, Docker, and Jenkins for container orchestration and legacy CI/CD workflows.

Responsibilities

Design, build, and operate fault-tolerant production systems on AWS, leveraging services such as ECS, ECR, and EC2 to deliver reliable, scalable applications.
Architect and manage cloud infrastructure using Terraform, enforcing infrastructure-as-code best practices and enabling repeatable, auditable deployments.
Administer and maintain Google Workspace environments, including user provisioning, access control, and security configurations.
Own IAM strategy and user access management across AWS accounts, ensuring least-privilege access and compliance with security policies.
Build and maintain CI/CD pipelines using GitHub Actions and related build and test frameworks, enabling fast, safe, and automated software delivery.
Enforce and continuously improve IT security practices across user accounts, networking, and data and service access controls.
Manage virtualization technologies, PaaS, and SaaS environments within AWS, ensuring availability, performance, and cost efficiency.
Design and maintain systems with fault tolerance and high availability as first-class requirements, using best practices for production resilience.
Work with big data technologies such as DynamoDB to support data storage, retrieval, and processing needs at scale.
Mentor junior and mid-level engineers through code reviews, architectural guidance, and knowledge sharing; actively support engineering growth across the team.
Field and resolve infrastructure and platform support requests, providing timely and effective responses to engineering and operational needs.
Write automation and tooling in Python and Bash to streamline operations and improve developer productivity.