Search the 15 jobs at Scalable Systems

The Inside Sales Intern at Scalable Systems will focus on customer acquisition by cold calling potential clients, qualifying leads, setting appointments, and assisting the sales team. This role requires a recent college graduate or soon-to-be graduate with strong organizational, communication, and computer skills.

Sr. Full-Stack Engineer role at Scalable Systems, a Big Data and Digital Transformation company. Develop core technology for a product-first startup using cutting-edge software technologies. Collaborate with a diverse international team and participate in the full product development process.

A senior full stack developer with experience in AWS as a DevOps engineer. This developer will be responsible for documentation, coding, releases, test automation, and AWS account management. Ideal candidate should have startup experience.

Design and implement data strategies tailored for AI/ML solutions, collaborate with AI/ML Engineers, monitor data-related issues, act as interface between AI Scrum team and data management team.

Develop and deploy machine learning models to solve complex business problems, analyze data and provide recommendations, perform technical documentation and code reviews to ensure model quality and reliability.

Seeking a senior Palo Alto Networks network engineer with experience in Rubrik data security and ideally Azure DevOps skills. Must have expertise in Palo Alto Networks firewall (hardware and NGFW) and data security with Rubrik. Environment is hybrid with Azure and on-premises infrastructure.

Create diverse language tasks, optimize performance, detect biases, test robustness and security of language models. Strong coding skills for AI test implementation.

Seeking a Senior Principal AI / ML professional with 10 years of experience in software engineering-related fields. Responsibilities include building cloud-based services, developing and deploying machine learning models, performing pull requests and code reviews, and working with NoSQL databases. Required qualifications include a Bachelor's or Graduate degree in relevant fields, proficiency in technical documentation, and experience with Python packages and cloud technologies.

Testing the AI Foundation for functionality, performance, and compatibility with various AI use cases. Experience in automated and manual testing in Azure environments, particularly for AI/ML applications.

Seeking a QA Tester for AI/ML with 5+ years of experience to work on testing components and automation in Azure environments for AI/ML applications. Responsibilities include test automation, translating requirements into test plans, and collaborating with product managers and engineering teams.

Lead QA role at Scalable Systems, a USA-based Big Data, AI, and Digital Transformation company. Responsibilities include ensuring data integrity, testing, and quality assurance practices. Required skills include Tosca Data Integrity, Tricentis q Test, SQL, BI, Agile, with a preference for Power BI and DevOps knowledge.

Lead Data Engineer position at Scalable Systems, a USA-based Big Data, Analytics, and Digital Transformation Company. Requires expertise in Snowflake, AWS/Azure, SQL, DBT, Terraform, and English (B2+ or C1 level)

Senior Bioinformatics Data Scientist with 4 years of experience working with GWAS Biobank, GWAS statistics harmonization, genetics statistical analysis, co-localization analysis, and multi-omics data.

Senior Java Software Engineer advocating for cutting-edge technology, building intelligent products, and architecting reusable front-end systems. Collaborating with multidisciplinary teams, driving internal initiatives, and working on projects for multinational brands.

Lead and mentor a team of Site Reliability Engineers (SREs) to ensure operational excellence and maximize system reliability. Architect and design scalable infrastructure solutions, collaborate with cross-functional teams, establish service level objectives, implement observability practices, drive continuous improvement, and stay current with industry trends.