System Administrator

Osprey Life Sciences; Massachusetts; On-site; USD 100,000 - 150,000; Full time

Job summary

Osprey Life Sciences in Massachusetts seeks a Systems Administrator – Research AI & Applications to support cloud-hosted research apps, AI-enabled systems, and scientific SaaS platforms. You will work across cloud infrastructure, containers, AI models, APIs, and third-party services to ensure secure, reliable, and compliant operations.

Ideal candidates combine hands-on cloud and systems administration with modern AI infrastructure knowledge and collaborate with scientists, developers,

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, Technology, or a related field with 3+ years of relevant experience.
• Hands-on experience administering production systems in GCP, AWS, Azure, or comparable cloud environments.
• Experience with Linux, Docker/containers, Python environments, APIs, networking, DNS, TLS, IAM, and secrets management.
• Knowledge of Cloud Run and/or Kubernetes, CI/CD, infrastructure as code, monitoring, incident management, backup/recovery, and vulnerability remediation.
• Familiarity with ServiceNow and Jira.
• Strong troubleshooting, documentation, communication, and cross-functional collaboration skills.

Responsibilities

• Administer research applications and infrastructure across GCP, AWS, and scientific SaaS environments.
• Support Cloud Run, containers, registries, DNS, TLS, load balancing, APIs, and Identity-Aware Proxy (IAP).
• Maintain AI-enabled and agentic systems, including AI models, MCP servers, tools, data sources, integrations, permissions, and orchestration frameworks.
• Manage user and system access using RBAC, including API keys, tokens, certificates, secrets, and service accounts.
• Maintain Docker/container environments, Python and application dependencies, CI/CD pipelines, and infrastructure-as-code configurations.
• Monitor availability, performance, errors, security vulnerabilities, cloud usage, and cost; troubleshoot incidents and support recovery.

Skills

Troubleshooting

Documentation

Communication

Cross-functional collaboration

Education

Bachelor's degree (CS/IS/Engineering/Tech)

Tools

ServiceNow

Jira

Job description

Systems Administrator – Research AI & Applications

A World Class Company

Osprey Life Sciences, LLC is a leading consulting and services firm specializing in providing comprehensive technology solutions for Life Sciences IT organizations. Our primary focus is on assisting these organizations in effectively and efficiently delivering solutions that support their business objectives and their mission to enhance human health and improve lives.

Position Overview

We are seeking a Systems Administrator – Research AI & Applications to support cloud-hosted research applications, AI-enabled systems, and scientific SaaS platforms. This hands-on role will work across cloud infrastructure, containers, AI models and agents, APIs, scientific applications, and third-party services to ensure systems are secure, reliable, compliant, and supportable.

The ideal candidate combines strong cloud and systems administration experience with modern AI/application infrastructure knowledge and can effectively collaborate with scientists, developers, cybersecurity, cloud engineering, data teams, and vendors.

Key Responsibilities

• Administer research applications and infrastructure across GCP, AWS, and scientific SaaS environments, including IAM, service accounts, networking, storage, compute, and platform configurations.
• Support Cloud Run, containers, registries, DNS, TLS, load balancing, APIs, and Identity-Aware Proxy (IAP) across development, test, validation, and production environments.
• Maintain and support AI-enabled and agentic systems, including AI models, MCP servers, tools, data sources, integrations, permissions, and orchestration frameworks.
• Manage user and system access using role-based access controls and least-privilege principles, including API keys, tokens, certificates, secrets, and service accounts.
• Maintain Docker/container environments, Python and application dependencies, CI/CD pipelines, and infrastructure-as-code configurations.
• Monitor application availability, performance, errors, API/model failures, security vulnerabilities, cloud usage, and cost.
• Troubleshoot complex application, integration, cloud, AI, and infrastructure issues and support incident resolution, root-cause analysis, backup/recovery, and service continuity.
• Manage incidents, service requests, problems, and changes through ServiceNow and Jira, maintaining appropriate documentation and traceability.
• Help transition scientist-developed prototypes into secure, documented, repeatable, and production-ready solutions.
• Partner with scientists, developers, cybersecurity, cloud/platform teams, networking, data teams, and vendors to support security, compliance, auditability, change control, and system lifecycle management.

Required Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, Technology, or a related field with 3+ years of relevant experience.
• Hands-on experience administering production systems in GCP, AWS, Azure, or comparable cloud environments.
• Experience with Linux, Docker/containers, Python environments, APIs, networking, DNS, TLS, IAM, and secrets management.
• Knowledge of Cloud Run and/or Kubernetes, CI/CD, infrastructure as code, monitoring, incident management, backup/recovery, and vulnerability remediation.
• Familiarity with ServiceNow and Jira.
• Strong troubleshooting, documentation, communication, and cross-functional collaboration skills.

Preferred Qualifications

• Experience with Google Cloud IAP, Cloud Run, Secret Manager, Artifact Registry, Cloud Monitoring, Gemini, or Vertex AI.
• Familiarity with AI agents, MCP servers, LLM/model APIs, and agent orchestration frameworks.
• Experience supporting scientific computing, bioinformatics, laboratory automation, multiomics, research data platforms, or scientific SaaS applications.
• Knowledge of container security, software supply-chain security, data integrity, and auditability.
• Relevant cloud, systems engineering, IT service management, or cybersecurity certifications are a plus.

Successful Candidates Will Have

• A hands-on, problem-solving mindset with the ability to troubleshoot complex cloud, application, integration, and AI-related issues.
• The ability to understand complex technical architectures and translate that understanding into reliable, secure, and supportable operations.
• Comfort working in an evolving AI and research technology environment, including emerging tools, platforms, and integration approaches.
• Strong attention to security, compliance, documentation, change control, and operational discipline.
• The ability to collaborate effectively with scientists, developers, cybersecurity, cloud/platform teams, data teams, and vendors.
• A proactive approach to identifying risks, resolving issues, and improving the reliability and supportability of research applications and services.

We offer an excellent compensation and benefits package with challenge and opportunity to learn, grow and contribute to a stimulating, fast-paced environment. Osprey is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, protected veteran status or any other characteristic protected by law.