Analytics Engineer
The Analytics Engineer will design and maintain complex data models and pipelines within Snowflake using dbt. They will also leverage AI-driven insights and BI tools to provide actionable data analysis for cross-functional teams.
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The Analytics Engineer will design and maintain complex data models and pipelines within Snowflake using dbt. They will also leverage AI-driven insights and BI tools to provide actionable data analysis for cross-functional teams.
The Application Security Engineer will implement and operationalize SAST tooling and integrate security controls into CI/CD pipelines. They will also provide expert guidance to clients on secure development practices and vulnerability remediation across the SDLC.
You will design and implement machine learning models to detect and sanitize sensitive data like PII and PHI across large-scale enterprise datasets. Additionally, you will build validation infrastructure and automated test suites to ensure high data quality and compliance with privacy standards.
You will define the target architecture and build strategy for a major revenue management platform modernization while directing an external delivery partner. You are responsible for ensuring the system's correctness, maintainability, and operational readiness through rigorous specification and acceptance gates.
The Enterprise Technology Solutions Engineer will design, build, and deploy AI-driven automations and custom internal applications to streamline workflows across various business departments. They will also manage enterprise software architecture, cloud infrastructure, and ensure the security and governance of AI tools and data.
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You will own and extend the customer data ingestion platform while building large-scale pipelines to power AI products. Additionally, you will architect data infrastructure and collaborate with teams to improve the reliability and performance of the data stack.
The role involves commissioning greenfield office networks in India to corporate standards and serving as the primary Tier 3 escalation resource for local NOC staff. You will also manage in-country vendor coordination and implement network solutions designed by the US-based architecture team.
The Principal Security Engineer will own the security architecture across Azure and AWS, including tenant design, network segmentation, and workload isolation. They will also lead infrastructure vulnerability management and establish secure-by-default practices for cloud and containerized environments.
You will partner with account teams to architect and deliver technical demos and proof-of-concepts that showcase Teleport's identity-based security solutions. Additionally, you will act as a trusted advisor to engineering and security leaders while providing feedback to product teams to drive market needs.
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You will collaborate with cross-functional teams to design and scope new features for the core platform. Additionally, you will architect solutions and design data schemas that evolve with business needs while working within the Salesforce ecosystem.
The Sales Engineer will perform aftermarket sales for cryogenic pumps and turbo expanders while developing business plans to grow the service unit. They are responsible for managing customer relationships, negotiating contracts, and promoting service agreements and repairs within the assigned territory.
You will jointly own strategic enterprise accounts, developing account strategy and driving the technical sales process from discovery through technical close. You will serve as a trusted advisor to customers, helping them solve complex challenges across endpoints, applications, and networks.
The Staff Data Engineer is responsible for designing, building, and operating enterprise-scale data platforms and products within the Enterprise Data Warehouse. This role involves defining architectural standards, driving platform modernization, and mentoring other engineers while remaining hands-on in complex backend data engineering tasks.
The Production Engineer will support daily manufacturing operations to ensure safety, quality, and efficiency while identifying opportunities for process improvement. They will lead root cause analysis and collaborate with cross-functional teams to implement Lean and Six Sigma methodologies.
Develop and implement data pipelines and tooling for cost attribution, performance-informed financial modeling, and data transparency. Maintain end-to-end ELT/ETL processes to support stakeholders in making data-driven decisions.
Lead technical discovery and define the architecture for a new patient-facing digital health application. Collaborate with stakeholders to translate product requirements into scalable, secure, and maintainable technical solutions.
You will own the corporate IT environment, managing Microsoft 365, identity controls, and server infrastructure. Additionally, you will collaborate with engineering teams on network connectivity, traffic analysis, and troubleshooting for edge-connected systems.
The Azure Kubernetes Platform Engineer is responsible for designing, deploying, and operating production-grade AKS clusters with a focus on security, reliability, and performance. This role acts as the subject-matter expert for Kubernetes deployments, troubleshooting, and infrastructure lifecycle management.
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You will architect and optimize cloud infrastructure for a global HR tech platform, focusing on Azure and Kubernetes environments. The role involves automating CI/CD pipelines, managing containerized applications, and collaborating with cross-functional teams to ensure system reliability.
The AI Applications Engineer will design and execute fine-tuning workflows for large language models using supervised and reinforcement learning techniques. They will also lead dataset construction, build scalable training pipelines, and collaborate with cross-functional teams to operationalize AI solutions.
The Reinforcement Learning Engineer will design, train, and deploy RL-based systems for complex decision-making problems in both real and simulated environments. They will also build scalable training infrastructure and monitor production models for performance, safety, and stability.
You will design, develop, and deploy AI-powered features and backend services while collaborating with cross-functional teams to ensure high-quality code. The role involves building LLM agents, managing MCP servers, and contributing to technical architecture discussions.
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