Software Engineer III

Overview

Data Direct Networks (DDN) is a global market leader renowned for powering many of the world's most demanding AI data centers, in industries ranging from life sciences and healthcare to financial services, autonomous cars, Government, academia, research and manufacturing. DDN is the global leader in AI and multi‑cloud data management  cutting‑edge data intelligence platform is designed to accelerate AI workloads, enabling organizations to extract maximum value from their data.

With a proven track record of performance, reliability, and scalability, DDN empowers businesses to tackle the most challenging AI and data‑intensive workloads with confidence.

We are seeking a Software Engineer III to join our GRIDScaler team. The ideal candidate will be a highly experienced engineer with deep expertise in distributed systems, storage, observability, and Linux internals
. This role demands strong hands‑on development skills in Go, Rust, and Python
, coupled with the ability to design system architecture, lead technical initiatives, and mentor engineers
. The candidate will also drive efforts in telemetry, monitoring, APIs, and developer tooling
, ensuring the GRIDScaler product continues to scale for enterprise and HPC environments.

• Architect, design, and review complex software systems and frameworks for scalability, performance, and reliability.
• Provide technical leadership and mentorship to engineers across multiple teams and geographies.
• Define and implement long‑term product and system architecture strategies
  , including telemetry, observability, and monitoring solutions.
• Develop and guide implementation of CLI tools, REST APIs, and automation frameworks for internal and external use.
• Own the design and integration of telemetry and monitoring pipelines (e.g., Open Telemetry, Prometheus, Grafana, custom agents).
• Collaborate with product management and engineering managers to translate requirements into technical roadmaps and architecture designs
  .
• Oversee and review code quality, testing practices, and CI/CD pipelines (Jenkins or equivalent).
• Lead complex debugging and performance tuning efforts in distributed and storage systems.
• Represent the team in cross‑functional technical discussions with customers, partners, and executive stakeholders.
• Contribute to and validate technical documentation and architectural design documents
  .

• BS/MS/PhD in Computer Science, Computer Engineering, or related field with 10+ years of software engineering experience (with at least 3+ years in technical leadership/architect role
  ).
• Proven expertise in Linux system programming and strong understanding of Linux internals
  .
• Deep hands‑on programming experience with Golang, Rust, and Python
  .
• Strong background in distributed systems, storage systems, HPC, or parallel file systems (e.g., IBM Spectrum Scale (GPFS), Lustre, Ceph).
• Experience designing telemetry, observability, and monitoring frameworks for large‑scale distributed products.^
• Expertise in building scalable APIs and developer‑facing CLI tools
  .
• Familiarity with cloud‑native architectures (Kubernetes, containers, microservices) and deployment on AWS, Azure, or hybrid cloud environments is highly desirable.
• Solid knowledge of CI/CD systems (e.g., Jenkins, Git Lab CI) and modern Dev Ops workflows.
• Strong leadership skills: ability to mentor, influence technical direction, and make architecture decisions
  .
• Exceptional debugging, performance analysis, and problem‑solving skills in complex distributed environments.
• Excellent written and verbal communication skills with the ability to articulate technical vision to engineers and leadership
  .

Data Direct Networks (DDN) is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, gender expression, transgender, sex stereotyping, sexual orientation, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.