Superblocks
Infrastructure Engineer & SRE
Similar Jobs
Healthtech • Software
Own reliability, security, and continuity of Medgen production environments. Manage Windows and Linux servers, HA configurations, backups, DR, deployments, and CI/CD automation. Coordinate vulnerability assessments, incident response, cloud/hybrid evaluations, and infrastructure modernization.
Top Skills:
.NetAWSAzureBackupsCi/CdDisaster RecoveryDnsFirewallsGCPIisJavaScriptLinuxMicrosoft TfsNetwork SegmentationSQLTcp/IpVpnsWindows Server
Healthtech • Software
Own reliability, security, and continuity of Labgen production: manage Windows/Linux servers, HA, networking, backups/DR, production deployments, CI/CD, monitoring, cloud evaluation, incident response, vendor relations, and compliance.
Top Skills:
.NetApacheAWSAzureBashCentosCertificates/PkiCvsDatadogDnsElkFirewallsGCPGitGrafanaJavaScriptJenkinsLinux (RhelPrometheusPythonSentineloneSql/Relational DatabasesTcp/IpUbuntu)VpnWindows Server
Healthtech • Insurance
Lead design, implementation, and reliability of cloud infrastructure and SRE practices. Own medium-to-large infrastructure projects, mentor engineers, define SLOs, reduce failure domains, build resilient systems, and collaborate cross-team to deliver secure, automated, scalable CI/CD and production environments.
Top Skills:
ArgocdAWSCi/CdGCPGithub ActionsGrafanaIamIstioKubernetesPrometheusTerraformVpc Peering
Superblocks is building the frontier platform that enables a billion non-engineers to create software with AI. We are reinventing how enterprises build internal systems and redefining the future of SaaS.
Our platform runs massive parallel AI agents, executes untrusted code securely, and integrates deeply with enterprise systems across clouds. Reliability here is not a support function. It is the product.
You will design systems that make AI fast, safe, and scalable at global scale.
What you will work on
- Large scale untrusted code execution and sandboxing
- Massively parallel AI agent runtime and scheduling systems
- Multi cloud and customer VPC deployment architecture
- Right now we are looking for two main roles:Highly reliable distributed systems with strict security and data guarantees
- Deep observability across AI workflows and infrastructure
- Enterprise grade integration and metadata platforms
What we look for
- Strong background in distributed systems, scalability, multi cloud architecture, and security
- Experience with operating systems, containers, K8s, cloud networking, and event driven runtimes like Knative or KEDA
- Passion for building simple, elegant solutions to hard systems problems
- Experience designing, building, and operating large scale infrastructure
- Strong zero to one mindset
Why this role matters
- You will define how AI systems run in production safely
- You will work on problems where traditional infrastructure patterns break
- You will define the operating system for future AI development
Superblocks New York, New York, USA Office
We're headquartered in Union Square, with easy access to nearly every major subway line (L, N, Q, R, W, 4, 5, 6). The neighborhood is a hub for both startups and established companies making it a great place to connect, collaborate, and enjoy some of the best food and coffee in the city.
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory


