Ryan Gibson Email & Phone Number

United States

Greater Philadelphia

Greater Philadelphia

Responsible for defining and implementing the company’s strategic technical objectives, while specializing in bringing container native technologies to the embedded ecosystem.Established a software organization within the company to provide software services ranging from high-level architecture design to full-stack implementations of cloud-native software with a focus on quickly delivering high-quality, robust solutions leveraging best-of-breed modern technologies.Worked with the customer to design and implement an extensible open architecture-based middleware using modern, open standards to meet program objectives while satisfying strict timing and sizing requirements on an embedded platform. Leveraged technologies including k3s, gRPC, serverless workflow, and custom FPGAs.

Remote

Oversaw the company’s engineering organization, providing technical guidance to the executive team, coordinating with the Product organization to prototype and build out new product lines, while ensuring the uptime and overall stability of the company’s globally distributed, cloud- based infrastructure.

Remote

Oversaw the migration of the company’s monolithic ad tech stack off a bare-metal EC2 cluster onto Kubernetes, working across multiple teams to decompose the stack into micro-services.Re-organized the engineering team around full-cycle development, empowering team leads with better tooling and control over deployments by re-platforming onto Kubernetes.Successfully led the effort to establish a Data Lake capable of storing terabytes of analytics data to reduce the burgeoning costs of our Redshift cluster saving tens of thousands of dollars per year in cloud spend.Established and managed the Platform engineering department, responsible for providing the company’s product teams with self-service access to our Kubernetes-based platform.Introduced and championed an Incident Management process at the company to minimize the duration and stress of disruptions and as well as to limit the frequency at which they occur by establishing clear lines of responsibility, communication protocols, and exit criteria.Established a technical Career Ladder defining positions and track progressions to standardize expectations for career growth and development at the company.Developed and championed a company-wide process for creating, pitching, prioritizing, implementing, deploying, and auditing large projects, driven by business and/or technical needs.

Remote

Oversaw migration of static backend infrastructure (pets) to an elastic, configuration-driven, autoscaling stack (cattle).Managed the Backend and Ops/Infrastructure departments, consisting of 15 engineers.Revamped the company's ETL pipeline using a serverless stack (Kinesis, AWS Lambda) capable ofprocessing 100's of gigabytes of data per day with 5-minute end-to-end latency, saving $30k/month in server costs.

Remote

Remotely managed a team of 5 engineers responsible for the development and maintenance of a meta search backend using agile processes (Jira, Scrum).

Full stack engineer (PHP, SQL, Redis, Golang, Docker) leading the architecture, design, and implementation of a meta-search backend capable of querying and serving millions of ad impressions per day.Integrated dozens of third-party APIs and databases to help build a unified, high-performance experience for travel price comparison.

Baltimore, Maryland Area

Designed and implemented ATLA2S, a scalable data management application responsible for collecting, processing, and managing terabytes of integration and test data. The platform provides an extensible backend database, an intuitive plugin-enabled user interface, as well as a framework for deploying a reliable service-oriented architecture on high-performance computing clusters. Years later, ATLA2S is now used across the sector on dozens of programs, helping to save the company millions of dollars annually in engineering costs.

Baltimore, Maryland Area

Designed and implemented signal processing applications for a distributed ground processing system. Focused on parallel computing techniques for digital signal processing algorithms. Technologies: C++, Java, MATLAB

Greater Los Angeles Area

Led effort to define all operational command plans used to control the Space Based Infrared Systems (SBIRS) flight units. This effort required extensive subsystem analyses to ensure safe payload operation while meeting mission objectives.