As a Staff Software Engineer for GI, you will lead the development of a new digital care experience for gastrointestinal conditions, driving innovation and mentoring other engineers.
Software Development Engineer III (ML Platform)
📜 Description
- Owns a core sub-system, a significant slice of a technology pillar, or complex business-critical features.
- Leads the design of complex features, services, or new sub-systems, including component contracts and high-throughput data pipelines.
- Directly drives progress on highly complex tasks involving multiple cross-functional dependencies and high business impact.
- Influences team-level architecture and implementation approaches, contributing to strategic technical decisions.
🛠️ Requirements
- Typically, 6+ years of relevant software engineering experience (or 3+ years of highly accelerated experience in a specialized global SaaS or high-growth technology environment).
- Minimum Requirement: Bachelor’s degree in computer science, Engineering, or a related technical field (or equivalent practical experience).
- Programming Proficiency: In-depth knowledge of at least one relevant language (e.g., Python, JavaScript/TypeScript, C++), with strong programming skills to build and operate robust services.
- System Architecture: Strong understanding of distributed systems, microservices, and modern software engineering architectures.
- Linux & Systems Engineering: Excellent troubleshooting skills within Linux environments (including log investigations, performance tests, and connectivity analysis).
- Best Practices: Solid understanding of engineering best practices, CI/CD pipelines, observability setups, and operational readiness.
- Problem Solving: Exceptional practical problem-solving and analytical skills, with a proven ability to navigate ambiguity and construct efficient solutions.
- Communication: Strong written and verbal technical communication skills, including the ability to lead collaborative design discussions and constructive reviews.
- Results-Oriented: Self-learning capability with strong attention to detail, a drive to achieve objectives efficiently, and a focus on delivering high customer satisfaction.
Full job description
The Role
At Everseen, we are scaling the global ML Platform powering our computer vision lifecycle. As a Senior SDE III, you will design and deliver the strategic, high-impact MLOps services that accelerate engineering iteration and bring transparency to our massive GPU workloads.
You’ll navigate architectural ambiguity, partner closely with AI Research, and mentor junior team members to raise our overall engineering bar.
You will get the opportunity to work on:
- Scale Inference & MLOps: Build high-performance, shared inference services with unified model catalogs, priority queuing, and full call auditability.
- Empowering AI Scientists: Architect the robust training infrastructure and registries that make every global training run 100% reproducible.
- Trace Data Lineage: Connect our platform ecosystem by extending lineage tracking and designing stable, reliable API contracts.
- Optimize GPU Utilization: Create the multi-tenant cost-tracking layers, quotas, and fairness primitives across our massive GPU clusters.
- Platrform Craft: Design APIs, SDKs and React dashboards with the same rigor you would apply to an external commercial SaaS product.
Our Technology Stack
As an Engineer with the ML Platform team at Everseen, you’ll have the opportunity to work with and develop your skills across a modern, high-performance tech stack:
What you’ll do
Collaborating With
Profile and Skills
Experience & Education Requirements
-
Typically, 6+ years of relevant software engineering experience (or 3+ years of highly accelerated experience in a specialized global SaaS or high-growth technology environment).
-
Minimum Requirement: Bachelor’s degree in computer science, Engineering, or a related technical field (or equivalent practical experience).
Technical Skills & Competencies
-
Programming Proficiency: In-depth knowledge of at least one relevant language (e.g., Python, JavaScript/TypeScript, C++), with strong programming skills to build and operate robust services.
-
System Architecture: Strong understanding of distributed systems, microservices, and modern software engineering architectures.
-
Linux & Systems Engineering: Excellent troubleshooting skills within Linux environments (including log investigations, performance tests, and connectivity analysis).
-
Cloud & Infrastructure: Strong understanding of major cloud platforms, including container orchestration, storage services, and cloud security and scalability principles. Excellent understanding of cloud computing service models, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) architecture.
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Best Practices: Solid understanding of engineering best practices, CI/CD pipelines, observability setups, and operational readiness.
Soft Skills & Leadership Attributes
-
Problem Solving: Exceptional practical problem-solving and analytical skills, with a proven ability to navigate ambiguity and construct efficient solutions.
-
Communication: Strong written and verbal technical communication skills, including the ability to lead collaborative design discussions and constructive reviews.
-
Results-Oriented: Self-learning capability with strong attention to detail, a drive to achieve objectives efficiently, and a focus on delivering high customer satisfaction.
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