Domino

Software engineering internship focused on building full-stack platform features, APIs, integrations, and enterprise software for data science and AI/ML workflows. The role offers mentorship and hands-on experience with scalable systems and cloud technologies.

Forward Deployed Engineer Interns write code and design customer-facing solutions for real-world AI/ML and data science applications. Candidates should be pursuing a bachelor’s or master’s degree, graduating in Spring 2027 or later, and have programming experience in Python, R, or another industry-standard language.

New graduate software engineer building scalable data science infrastructure across backend, frontend, APIs, and cloud integrations. Requires strong computer science fundamentals, proficiency in modern development technologies, and graduation in Spring 2027.

New-grad Forward Deployed Engineer developing custom AI solutions and enhancing customer workflows while working directly with clients. Requires programming experience, passion for AI/ML and data science, strong communication skills, and a 2027 degree graduation date.

Leads technical cloud operations by standardizing production changes, building service procedures, and improving automation, documentation, and self-service. The role requires production cloud or SaaS operations experience, strong operational judgment, and familiarity with cloud-native systems such as AWS and Kubernetes.

Own and evolve a scale and reliability platform, diagnosing distributed-system performance issues, improving observability, and automating cloud-based testing. The role requires staff-level infrastructure or SRE experience, strong Python skills, Kubernetes expertise, and hands-on performance troubleshooting.

Provides global Tier 1 and Tier 2 IT support, device lifecycle management, onboarding and offboarding, identity administration, and IT process improvement. Requires 5+ years of IT experience and advanced expertise across endpoint, identity, security, and access technologies.

Design and lead technical evaluations, prototypes, and architectures for life sciences customers, translating scientific and operational needs into production-ready solutions. Requires Python or R proficiency, life sciences domain knowledge, and experience with customer-facing technical engagements and proof-of-concepts.

Forward-deployed engineer supporting public sector accounts by building and deploying MLOps and AI solutions in regulated environments. The role combines Python and cloud infrastructure expertise with customer discovery, technical solutioning, and strategic advisory responsibilities.

Provides hands-on technical support for enterprise customers using Kubernetes, cloud infrastructure, and ML platforms. The role requires strong Linux and troubleshooting skills, customer-facing communication, and 3–5 years of relevant experience.

Leads the Solutions Engineering function, establishing pre-sales standards, evaluating enterprise deal quality, coaching the team, and partnering with executives on complex $5M+ opportunities. Requires 8+ years in enterprise pre-sales or sales engineering, people leadership, strong judgment, and AI/ML technical fluency.

Owns secure container image pipelines and automates vulnerability remediation for regulated, on-premises, and air-gapped deployments. The role requires deep container expertise, Kubernetes and Helm knowledge, Go or Python automation skills, and strong technical writing for auditors and customer security teams.

The Vulnerability Engineer will assess, reproduce, prioritize, and validate vulnerabilities across a SaaS environment, while maintaining scanning automation and partnering with Engineering on remediation. The role requires vulnerability-management experience, scripting skills, exploit validation, and knowledge of cloud, containers, and application security.

Owns hands-on compliance and quality operations, including questionnaires, audit and certification support, QMS records, control reviews, and GRC reporting. The role requires 2–5 years of experience, strong technical writing, Jira and Confluence fluency, and practical experience with agentic AI workflows.

Technical Product Manager owning AI governance, extensions framework, and ML lifecycle capabilities for regulated enterprise AI platforms. Requires 5+ years PM experience shipping to technical users, strong CS background, and enterprise customer ownership.

Build and deploy production-grade MLOps solutions for Life Sciences customers on the Domino platform. Serve as a trusted technical advisor, own customer engagements end-to-end, troubleshoot complex infrastructure, and translate field learnings into product improvements. Requires strong Python, Kubernetes, cloud, and ML deployment experience plus comfort in regulated environments.

Solutions Engineer supporting pre-sales technical evaluations, POCs, and solution architecture for Domino's AI/ML platform with U.S. public sector and defense customers. Requires active Secret clearance, public sector experience, Python/R proficiency, and knowledge of containers, govcloud platforms, and the AI lifecycle.

Drive customer renewals, expansions, and migrations to Domino Cloud for enterprise accounts. Leverage MLOps/AI expertise for consultative conversations, identify upsell opportunities, and partner with sales to ensure retention and growth while managing a portfolio of ~10 accounts.

Staff Software Engineer building and enhancing the Governance feature in Domino's open-source data science platform. Requires 5+ years backend experience with distributed systems (Hadoop, Spark, Kafka), strong proficiency in Scala/Go, API design, cloud technologies, and system architecture.

Enterprise Account Executive selling Domino's data science and AI/ML platform into Life Sciences accounts. Responsible for building executive relationships, generating pipeline, closing multi-million dollar software deals, and hitting $2.5M+ ARR targets.