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Staff ML Ops Engineer
Albert Invent Corp. · Remote (United States), United States · Remote · Active · Rippling ATS
Job facts
| Field | Value |
|---|---|
| Company | Albert Invent Corp. |
| Title | Staff ML Ops Engineer |
| Normalized title | - |
| Department / team | AI/ML |
| Location | United States |
| Work model | Remote / Remote |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Rippling ATS |
| Posted / first seen | 2026-01-27 / 2026-05-29 |
| Changed / last seen | 2026-06-06 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Albert Invent Corp.. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Rippling ATS. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Department jobs | Active postings in AI/ML. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Albert Invent Corp. |
| Source | 0de813ed-2178-4e6c-8990-15bff8111fb8 |
| ATS provider | Rippling ATS |
Description
company
Albert’s mission is to digitalize the world of chemistry. Using data and machine learning, Albert enables R&D organizations to dramatically accelerate the invention of new materials. Our platform helps scientists and engineers build structured data foundations, digitize formulation and testing workflows, and apply AI to innovate faster, smarter, and at scale.
role
About the role As our Backend & Infrastructure Engineer, you will architect and build the core systems that power everything our AI/ML team delivers—the APIs, infrastructure, and distributed systems that make intelligent capabilities possible at scale. This is a foundational role: you'll shape how AI gets built and shipped here.
We are seeking a highly motivated and talented individual with deep expertise in Python backend development, Kubernetes, and distributed systems. You'll be embedded with ML engineers and researchers, building robust systems that turn ambitious AI ideas into production realities—whether that's powering agent-based workflows, scaling inference, or enabling scientific computing pipelines. The infrastructure you build will directly enable researchers at the world's largest chemical and materials companies to leverage AI in ways that weren't possible before—accelerating discovery, enabling inverse design of novel materials, and transforming how science gets done.
What you'll do Infrastructure & Kubernetes:
Design, deploy, and maintain Kubernetes infrastructure supporting AI/ML workloads Manage containerized services, autoscaling, networking, and resource optimization Backend Development:
Design and build high-performance Python APIs and services using FastAPI or similar frameworks Architect backend systems for scalability, reliability, and low latency Build integrations between AI/ML systems and the broader Albert platform Distributed Systems:
Build and operate distributed systems that handle compute-intensive and high-throughput workloads Design for fault tolerance, graceful degradation, and horizontal scalability Implement async workflows, job queues, and task orchestration as needed Data Infrastructure:
Architect and maintain data pipelines and storage systems supporting AI/ML workflows Work with vector databases, caches, and other data stores as required by ML systems Ensure efficient data access patterns for training and inference workloads Reliability & Operations:
Implement observability including logging, metrics, tracing, and alerting Own system reliability—troubleshoot issues, conduct post-mortems, and continuously improve Design CI/CD pipelines and promote automation best practices Implement infrastructure-as-code practices using Terraform, Helm, ArgoCd, Pulumi, or similar tools Collaboration:
Partner closely with ML engineers to understand requirements and deliver production-ready infrastructure Translate ML prototypes and research code into scalable, maintainable systems Contribute to technical decisions that shape the team's architecture You will have Deep expertise in Python backend development and distributed systems Strong Kubernetes and cloud infrastructure experience A builder's mindset—you want to create foundational systems that others build on Genuine interest in science and technology; curiosity about how your work enables scientific discovery A commitment to building systems that are reliable, maintainable, and scalable
Key competencies A degree in Computer Science or a related field with 7+ years of industry experience (Bachelor's) or 5+ years (Master's or PhD) in software engineering Experience supporting AI/ML teams or deploying ML systems in production Experience with GPU workloads and scheduling Advanced proficiency in Python including async programming and performance optimization Deep experience with Kubernetes—cluster management, networking, autoscaling, and troubleshooting Strong background in distributed systems and microservices architecture Experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code Proficiency in REST API development using FastAPI, Flask, or similar Experience with containerization and CI/CD pipelines Track record of operating production systems at scale
Preferred/Bonus Points Familiarity with scientific computing or research environments Background in or curiosity about chemistry, materials science, or related fields Familiarity with data engineering tools (Airflow, Dagster, or similar) Experience with vector databases or search infrastructure Expertise in observability tools (Prometheus, Grafana, Datadog) Experience with message queues and event-driven architectures (Kafka, Redis, RabbitMQ) Contributions to open-source projects Experience mentoring engineers Why Albert? We have a huge impact. Albert is a growing team with a big reach. Our Platform facilitates the invention of materials for tens of thousands of companies and hundreds of thousands of applications - from coatings used on rockets to adhesives used in electric vehicles to 3D printed medical devices. We love distributed teams. Albert’s home-base is in the California Bay Area, but we have multiple offices and employees sprinkled around the globe. In fact, over 50% of our employees work outside of California! An international remote culture is in our DNA. We care about you. Albert works hard to create a positive environment for our employees, and we think your life outside of work is important too. We work hard and we play hard. We value diversity. Growing and maintaining our inclusive and diverse team matters to us. We are committed to being a company where our employees feel comfortable bringing their authentic selves to work and have the ability to be successful -- every day. We’re always looking for humble, sharp, and creative folks to join the Albert team. If you think you might be a fit please apply!
Full job record
| Job ID | 26a8a2a8b424d3c87739df311d656dae2f9d9068 |
| Org ID | ebfa7e10-7892-4020-8407-38eba354ea7d |
| Source ID | 0de813ed-2178-4e6c-8990-15bff8111fb8 |
| Board ID | 0de813ed-2178-4e6c-8990-15bff8111fb8 |
| Provider | rippling |
| Provider Job Key | a4ae752d-5999-4bdf-a7b7-86a432c84a77 |
| Title | Staff ML Ops Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Remote (United States), United States |
| Department | AI/ML |
| Team | — |
| Employment Type | full_time |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | United States |
| Region | — |
| City | — |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://ats.rippling.com/albert-invent-corp/jobs/a4ae752d-5999-4bdf-a7b7-86a432c84a77 |
| Apply URL | https://ats.rippling.com/albert-invent-corp/jobs/a4ae752d-5999-4bdf-a7b7-86a432c84a77 |
| First Seen At | 2026-05-29 07:14:55Z |
| Last Seen At | 2026-06-06 19:07:25Z |
| Last Checked At | 2026-06-06 19:07:25Z |
| Last Changed At | 2026-06-06 19:07:25Z |
| Inactive At | — |
| Source Posted At | 2026-01-27 22:13:02Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=rippling/board=albert-invent-corp/date=2026-06-06/2026-06-06T19-07-24-342Z-ce90e669974ccba9aa41f300b433a800432b562dcd3e985cbf9da484dbb7b12e.json |
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"role": "<meta><h5 style=\"font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:15pt;font-weight:600;letter-spacing:0px;margin-top:10px;margin-bottom:4px;padding-left:0px;\"><span style=\"white-space:pre-wrap;\">About the role</span></h5><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;text-align:left;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">As our Backend & Infrastructure Engineer, you will architect and build the core systems that power everything our AI/ML team delivers—the APIs, infrastructure, and distributed systems that make intelligent capabilities possible at scale. This is a foundational role: you'll shape how AI gets built and shipped here. </span></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;text-align:left;\"><br></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"white-space:pre-wrap;\">We are seeking a highly motivated and talented individual with deep expertise in Python backend development, Kubernetes, and distributed systems. You'll be embedded with ML engineers and researchers, building robust systems that turn ambitious AI ideas into production realities—whether that's powering agent-based workflows, scaling inference, or enabling scientific computing pipelines. The infrastructure you build will directly enable researchers at the world's largest chemical and materials companies to leverage AI in ways that weren't possible before—accelerating discovery, enabling inverse design of novel materials, and transforming how science gets done. </span></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><h5 style=\"font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:15pt;font-weight:600;letter-spacing:0px;margin-top:10px;margin-bottom:4px;padding-left:0px;\"><span style=\"white-space:pre-wrap;\">What you'll do</span></h5><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;text-align:left;\"><b><strong style=\"font-size:12pt;white-space:pre-wrap;\">Infrastructure & Kubernetes:</strong></b><span style=\"font-size:12pt;white-space:pre-wrap;\"> </span></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Design, deploy, and</span><span style=\"white-space:pre-wrap;\"> </span><span style=\"font-size:12pt;white-space:pre-wrap;\">maintain</span><span style=\"white-space:pre-wrap;\"> </span><span style=\"font-size:12pt;white-space:pre-wrap;\">Kubernetes infrastructure supporting AI/ML workloads </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Manage containerized services, autoscaling, networking, and resource optimization </span></li></ul><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;text-align:left;\"><b><strong style=\"font-size:12pt;white-space:pre-wrap;\">Backend Development:</strong></b><span style=\"font-size:12pt;white-space:pre-wrap;\"> </span></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Design and build high-performance Python APIs and services using</span><span style=\"white-space:pre-wrap;\"> </span><span style=\"font-size:12pt;white-space:pre-wrap;\">FastAPI</span><span style=\"white-space:pre-wrap;\"> </span><span style=\"font-size:12pt;white-space:pre-wrap;\">or similar frameworks </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Architect backend systems for scalability, reliability, and low latency </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Build integrations between AI/ML systems and the broader</span><span style=\"white-space:pre-wrap;\"> </span><span style=\"font-size:12pt;white-space:pre-wrap;\">Albert</span><span style=\"white-space:pre-wrap;\"> </span><span style=\"font-size:12pt;white-space:pre-wrap;\">platform </span></li></ul><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;text-align:left;\"><b><strong style=\"font-size:12pt;white-space:pre-wrap;\">Distributed Systems:</strong></b><span style=\"font-size:12pt;white-space:pre-wrap;\"> </span></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Build and</span><span style=\"white-space:pre-wrap;\"> </span><span style=\"font-size:12pt;white-space:pre-wrap;\">operate</span><span style=\"white-space:pre-wrap;\"> </span><span style=\"font-size:12pt;white-space:pre-wrap;\">distributed systems that handle compute-intensive and high-throughput workloads </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Design for fault tolerance, graceful degradation, and horizontal scalability </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Implement async workflows, job queues, and task orchestration as needed </span></li></ul><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;text-align:left;\"><b><strong style=\"font-size:12pt;white-space:pre-wrap;\">Data Infrastructure:</strong></b><span style=\"font-size:12pt;white-space:pre-wrap;\"> </span></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Architect and</span><span style=\"white-space:pre-wrap;\"> </span><span style=\"font-size:12pt;white-space:pre-wrap;\">maintain</span><span style=\"white-space:pre-wrap;\"> </span><span style=\"font-size:12pt;white-space:pre-wrap;\">data pipelines and storage systems supporting AI/ML workflows </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Work with vector databases, caches, and other data stores as required by ML systems </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Ensure efficient data access patterns for training and inference workloads </span></li></ul><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;text-align:left;\"><b><strong style=\"font-size:12pt;white-space:pre-wrap;\">Reliability & Operations:</strong></b><span style=\"font-size:12pt;white-space:pre-wrap;\"> </span></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Implement observability including logging, metrics, tracing, and alerting </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Own system reliability—troubleshoot issues, conduct post-mortems, and continuously improve </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Design CI/CD pipelines and promote automation best practices </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Implement infrastructure-as-code practices using Terraform, Helm,</span><span style=\"white-space:pre-wrap;\"> </span><span style=\"font-size:12pt;white-space:pre-wrap;\">ArgoCd,</span><span style=\"white-space:pre-wrap;\"> </span><span style=\"font-size:12pt;white-space:pre-wrap;\">Pulumi, or similar tools </span></li></ul><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;text-align:left;\"><b><strong style=\"font-size:12pt;white-space:pre-wrap;\">Collaboration:</strong></b><span style=\"font-size:12pt;white-space:pre-wrap;\"> </span></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Partner closely with ML engineers to understand requirements and deliver production-ready infrastructure </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Translate ML prototypes and research code into scalable, maintainable systems </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Contribute to technical decisions that shape the team's architecture </span></li></ul><h5 style=\"font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:15pt;font-weight:600;letter-spacing:0px;margin-top:10px;margin-bottom:4px;padding-left:0px;\"><span style=\"white-space:pre-wrap;\">You will have</span></h5><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Deep</span><span style=\"white-space:pre-wrap;\"> </span><span style=\"font-size:12pt;white-space:pre-wrap;\">expertise</span><span style=\"white-space:pre-wrap;\"> </span><span style=\"font-size:12pt;white-space:pre-wrap;\">in Python backend development and distributed systems </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Strong Kubernetes and cloud infrastructure experience </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">A builder's mindset—you want to create foundational systems that others build on </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Genuine interest in science and technology; curiosity about how your work enables scientific discovery </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">A commitment to building systems that are reliable, maintainable, and scalable </span></li></ul><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><h5 style=\"font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:15pt;font-weight:600;letter-spacing:0px;margin-top:10px;margin-bottom:4px;padding-left:0px;\"><span style=\"white-space:pre-wrap;\">Key competencies</span></h5><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">A degree in Computer Science or a related field with 7+ years of industry experience 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0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Deep experience with Kubernetes—cluster management, networking, autoscaling, and troubleshooting </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Strong background in distributed systems and microservices architecture </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Proficiency</span><span style=\"white-space:pre-wrap;\"> </span><span style=\"font-size:12pt;white-space:pre-wrap;\">in REST API development using</span><span style=\"white-space:pre-wrap;\"> </span><span style=\"font-size:12pt;white-space:pre-wrap;\">FastAPI, Flask, or similar </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Experience with containerization and CI/CD pipelines </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Track record</span><span style=\"white-space:pre-wrap;\"> </span><span style=\"font-size:12pt;white-space:pre-wrap;\">of operating production systems at scale </span><span style=\"font-size:11pt;white-space:pre-wrap;\"> </span></li></ul><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><h5 style=\"font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:15pt;font-weight:600;letter-spacing:0px;margin-top:10px;margin-bottom:4px;padding-left:0px;\"><span style=\"white-space:pre-wrap;\">Preferred/Bonus Points</span></h5><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Familiarity with scientific computing or research environments </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Background in or curiosity about chemistry, materials science, or related fields </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Familiarity with data engineering tools (Airflow,</span><span style=\"white-space:pre-wrap;\"> </span><span style=\"font-size:12pt;white-space:pre-wrap;\">Dagster, or similar) </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Experience with vector databases or search infrastructure </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Expertise</span><span style=\"white-space:pre-wrap;\"> </span><span style=\"font-size:12pt;white-space:pre-wrap;\">in observability tools (Prometheus, Grafana, Datadog) </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Experience with message queues and event-driven architectures (Kafka, Redis, RabbitMQ) </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Contributions to open-source projects </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Experience mentoring engineers </span></li></ul><h5 style=\"font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:15pt;font-weight:600;letter-spacing:0px;margin-top:10px;margin-bottom:4px;text-align:justify;padding-left:0px;\"><span style=\"white-space:pre-wrap;\">Why Albert?</span></h5><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;text-align:justify;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">We have a huge impact. Albert is a growing team with a big reach. Our Platform facilitates the invention of materials for tens of thousands of companies and hundreds of thousands of applications - from coatings used on rockets to adhesives used in electric vehicles to 3D printed medical devices. We love distributed teams. Albert’s home-base is in the California Bay Area, but we have multiple offices and employees sprinkled around the globe. In fact, over 50% of our employees work outside of California! An international remote culture is in our DNA. We care about you. Albert works hard to create a positive environment for our employees, and we think your life outside of work is important too. We work hard and we play hard. We value diversity. Growing and maintaining our inclusive and diverse team matters to us. We are committed to being a company where our employees feel comfortable bringing their authentic selves to work and have the ability to be successful -- every day. We’re always looking for humble, sharp, and creative folks to join the Albert team. If you think you might be a fit please apply!</span></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p>",
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"detail_errors": []
}Get this page with API
Rendered from the bluedoor Job Postings API. Reproduce it:
GET https://api.bluedoor.sh/job-postings/v1/jobs/26a8a2a8b424d3c87739df311d656dae2f9d9068?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/ebfa7e10-7892-4020-8407-38eba354ea7dJSONGET https://api.bluedoor.sh/job-postings/v1/sources/0de813ed-2178-4e6c-8990-15bff8111fb8JSONGET https://api.bluedoor.sh/job-postings/v1/jobs/26a8a2a8b424d3c87739df311d656dae2f9d9068/eventsJSON