Senior Engineer (Multicloud)
Pragmatike is hiring a Senior Engineer (Multicloud) for a remote role open to applicants in United States. Level rates it ; you can apply on Pragmatike.
Level's read on this job
- Level rates this role Builds AI ●●●●: the job is building AI systems.
- The posting lists this role as remote.
- Tools and skills the posting cites include Databricks.
- Level classifies it as a senior role.
- Level lists 51 other open roles at Pragmatike.
AI in this role
Location: Cambridge, MA (Eastern Time / UTC -4) Relocation package available or Remote option for Out-Of-State applicants
Start date: ASAP
Languages: English (required)
About the Role
Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers.
We are searching for a Senior Cloud Engineer (Multicloud) with deep, hands-on experience building, operating, and scaling production infrastructure across AWS, GCP, and Azure. You will work directly on the cloud and platform layer supporting large-scale, distributed AI systems used by Fortune 500 customers.
This role is ideal for an engineer who has operated real multicloud environments in production—not someone limited to a single provider. You will be responsible for building reliable, scalable systems while navigating the complexity of differing cloud primitives, networking models, and operational trade-offs.
What Youll Do
Build, deploy, and operate production infrastructure across AWS, GCP, and Azure.
Maintain consistent environments using Infrastructure as Code (Terraform preferred).
Deploy and operate Kubernetes clusters and containerized workloads across multiple cloud providers.
Design and manage cloud networking (VPC/VNet design, peering, load balancing, private connectivity).
Implement monitoring, logging, alerting, and incident response for multicloud systems.
Optimize performance, reliability, and cost across providers through autoscaling and capacity planning.
Support AI training and inference workloads in multicloud environments.
Troubleshoot complex production issues spanning compute, networking, storage, and Kubernetes layers.
Collaborate closely with AI, backend, and platform teams to support production systems.
What Were Looking For
5+ years of experience as a Cloud / Platform / Infrastructure Engineer.
Hands-on production experience with AWS, GCP, and Azure (deep expertise in at least one).
Strong experience running Kubernetes in production across multiple clouds.
Strong Terraform experience managing multicloud infrastructure.
Solid understanding of cloud networking differences and security models across providers.
Experience operating distributed systems with on-call ownership.
Ability to work across provider-specific services while maintaining consistent abstractions.
Bonus Points
Experience supporting AI/ML or data-intensive workloads in production.
Exposure to GPU-enabled cloud infrastructure or high-performance compute.
Experience with CI/CD automation and release pipelines.
Familiarity with compliance requirements (SOC 2, ISO 27001).
Startup experience or comfort in fast-moving, ambiguous environments.
Why This Role Will Pivot Your Career
Research pedigree: MIT CSAIL founders with deep systems and AI expertise.
Customer impact: Infrastructure powering Fortune 500 companies.
Industry momentum: Alumni behind major acquisitions (MosaicML Databricks, Run:AI NVIDIA, W&B CoreWeave).
Funding & growth: Oversubscribed seed round, next funding planned for 2026.
Ownership: Operate and scale real multicloud production systems.
Technical depth: Solve hard reliability and scaling problems across providers.
Benefits
Competitive salary & equity options
Sign-on bonus
Health, Dental, and Vision
401(k)
Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.
How we rate this
Senior Engineer (Multicloud) at Pragmatike rates 86 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- What's a project where you used Databricks hands-on?
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: Databricks. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. You get your review by email within 24 hours.
Get new remote software engineering jobs (Builds AI ●●●●) by email
One email a week with the new remote software engineering jobs (Builds AI ●●●●), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Software Engineering roles that build AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step