Sr. IT Infrastructure Engineer
Description
Sr. IT Infrastructure Engineer (Contractor)
South San Francisco, CA
Position Description:
In this role, you will be responsible for maintaining and supporting existing on-premises infrastructure while partnering with IT and cross-functional teams to develop and execute a migration roadmap to GCP. You will play a critical role in ensuring operational stability, resilient system design, and engineering excellence for business-critical research workloads.
The successful candidate will bring deep expertise in traditional on-premises IT infrastructure, including physical and virtual servers, storage and file systems, Microsoft Active Directory, DNS, and related infrastructure services. The ideal candidate will also have strong experience with GCP cloud infrastructure, cloud IAM, networking, and infrastructure automation.
While this role will initially focus heavily on on-premises infrastructure, it will also help establish the systems, processes, standards, and automation practices needed to support cloud adoption and long-term infrastructure modernization.
Position Responsibilities:
● Maintain and support on-premises infrastructure, including HPC clusters, storage and file systems, physical and virtual servers, Active Directory, backups, and related infrastructure services.
● Partner with IT and cross-functional teams to define and execute a roadmap for migrating on-premises infrastructure to GCP.
● Drive efficient and well-planned migration efforts while minimizing disruption to R&D and scientific operations.
● Collaborate with Software Engineering, Data Science, ML Platform, and other teams to align on GCP infrastructure best practices.
● Promote scalable, secure, and standardized cloud infrastructure practices across teams.
● Work with technology partners, including Google Enterprise Network, Google Professional Services, sponsored research partners, and Contract Research Organizations, to support business and research needs.
● Develop and maintain clear architecture diagrams, infrastructure standards, operational runbooks, and support documentation.
● Identify opportunities to improve automation, infrastructure consistency, reliability, and operational efficiency.
Position Requirements:
● Bachelor’s degree in Computer Science, Information Systems, a related field, or equivalent practical experience.
● 5+ years of experience in on-premises infrastructure engineering, systems administration, or a related role.
● 5+ years of experience managing cloud infrastructure, preferably in GCP.
● Strong experience with enterprise infrastructure platforms, including virtualization, storage, backup, and data center operations.
● Expertise in Active Directory, Entra ID, Group Policy, DNS, DHCP, and hybrid identity management.
● Strong hands-on experience with Windows Server and Linux environments.
● Expertise in Google Cloud Platform, including Compute Engine, Cloud Storage, IAM, VPC, and hybrid connectivity.
● Experience with Google Kubernetes Engine (GKE), including cluster administration, workload management, and networking policies.
● Proficiency with infrastructure-as-code and automation tools such as Terraform, Ansible, or equivalent.
● Strong scripting experience with Python, Bash, or similar languages.
● Solid understanding of core networking concepts, including TCP/IP, DNS, DHCP, firewalls, routing, and troubleshooting utilities.
● Experience documenting architecture standards, recovery procedures, and operational runbooks.
● Familiarity with cybersecurity frameworks such as NIST CSF/CIS18, SOC 2, and ISO 27001.
● Ability to partner effectively with Information Security on hardening, compliance, vulnerability management, and incident response.
● Strong customer-service mindset and enthusiasm for supporting scientific software developers, data scientists, and R&D teams.
● Self-motivated, proactive, and able to work independently with minimal supervision. Comfortable working in ambiguous, fast-paced, and rapidly evolving R&D environments.
● Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.
● Must be willing to work onsite at least four days per week.
Nice to Have:
● Certifications such as Google Cloud Professional Cloud Architect, Certified Kubernetes Administrator (CKA), or equivalent.
● Experience administering source code repositories such as Git, GitLab, or GitHub.
● Experience with cluster file systems such as Ceph, Lustre, or similar technologies.
● Experience supporting research, biotech, life sciences, or scientific computing environments.
Job Type & Location
This is a Contract position based out of San Francisco, CA.
Pay and BenefitsThe pay range for this position is $85.00 - $90.00/hr.
Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave)
Workplace TypeThis is a hybrid position in San Francisco,CA.
Application DeadlineThis position is anticipated to close on Sep 16, 2026.
About TEKsystems
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
About TEKsystems and TEKsystems Global Services
We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.
Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.