Nova Intelligence Logo

Nova Intelligence

Senior Infrastructure Engineer

Reposted 2 Months Ago
Be an Early Applicant
In-Office
New York, NY, USA
Senior level
In-Office
New York, NY, USA
Senior level
Own and maintain Nova's cloud infrastructure and connectivity (primarily AWS) using Terraform and CI/CD. Troubleshoot VPNs, routing, CIDR conflicts and collaborate with customer IT. Lead ISO 27001 and SOC 2 Type 2 compliance efforts using tooling like Vanta, support audits and pen tests, and automate security and compliance processes.
The summary above was generated by AI

At Nova Intelligence, we’re building the most powerful AI Agent Platform for SAP teams.

Founded by top AI researchers, successful repeat entrepreneurs, and the co-inventor of SAP HANA.

Join us if you’re eager to solve the most urgent, complex problems for many of the largest companies in the world and disrupt a $100B+/year industry.

Check out the Launch Video

The Role

You will own two critical areas for Nova: Building/maintaining our infrastructure (IaC, cloud, and connectivity) so that Nova works reliably and securely for customers across cloud environments and strengthening and maintaining our ISO 27001 and SOC 2 Type 2 compliance posture.

Responsibilities

Infrastructure as Code & Connectivity

  • Design, build, and maintain Terraform modules for Nova's core infrastructure (primarily AWS).

  • Manage deployments via GitHub Actions or equivalent CI/CD tooling.

  • Troubleshoot and resolve connectivity issues between Nova infrastructure and customer environments — networking, VPNs, firewall rules, CIDR conflicts, routing, etc.

  • Collaborate with customer IT / network teams to design secure, robust connectivity solutions.

  • Support deployments and connectivity for customers using AWS, GCP, Azure, or hybrid on-prem/cloud setups.

  • Build automation and tooling to detect, surface, and debug connectivity and infra issues proactively.

Security & Compliance

  • Maintain and improve Nova's information security management system aligned with ISO 27001 and SOC 2 Type 2.

  • Use Vanta (or similar tooling) to manage evidence collection, control mapping, policy and documentation updates.

  • Work with internal teams to ensure continuous adherence to security and compliance requirements.

  • Support external audits, pen tests, and remediation planning.

  • Automate and document security and compliance processes to enable scaling as we grow.

Minimum Qualifications
  • Significant experience (5+ years) in cloud infrastructure / DevOps / security engineering.

  • Hands-on experience with Terraform in production environments.

  • Strong expertise in AWS (VPC, networking, VPNs, IAM, compute, etc.).

  • Solid networking fundamentals (VPNs, subnets, routing, firewalls, CIDR planning, DNS, etc.).

  • Familiarity with compliance frameworks — ideally SOC 2 and ISO 27001 (or willingness to learn quickly).

  • Experience with CI/CD tooling (GitHub Actions or similar).

  • Ability to communicate clearly with internal teams and external customer stakeholders.

  • Problem-solving mindset: debugging connectivity, infra and cloud issues across environments.

Preferred Qualifications
  • Experience with GCP or Azure (or other cloud providers) — especially in multi-cloud setups.

  • Familiarity with security/compliance tooling (e.g., Vanta, GuardDuty, CloudWatch, etc.).

  • Prior exposure to enterprise or regulated customers (finance, manufacturing, SAP, etc.).

  • Experience working in fast-paced, early-stage or startup environments.

  • Automation and scripting skills to build internal tooling or diagnostic utilities.

Benefits & Perks
  • Small, mission-driven team shipping production AI every sprint.

  • Competitive salary, meaningful equity, full health, dental, and vision coverage.

  • Inclusive culture that prizes curiosity, impact, and continuous learning.

Even if every box isn’t checked, we encourage 0→1 builders, fast learners, and team players to apply.

Similar Jobs

11 Days Ago
Hybrid
New York, NY, USA
110K-160K Annually
Senior level
110K-160K Annually
Senior level
Healthtech • Machine Learning • Software • Biotech • Pharmaceutical
Own the infrastructure powering machine learning and AI agent platforms across company and customer cloud environments. Build GitOps-driven deployments, secure multi-tenant Kubernetes sandboxes, hardened CI/CD pipelines, restricted-egress partner environments, and reliable GPU training and inference systems. Collaborate with ML engineers and scientists while implementing observability, SLOs, cost controls, and on-call operations across GCP and AWS.
Top Skills: Argo CdArgo WorkflowsAWSCi/CdCiliumGCPGitopsGpuGvisorHelmHpcKata ContainersKnativeKubernetesOpentofuPythonShellSlosTerraformVllm
11 Days Ago
In-Office
2 Locations
153K-204K Annually
Senior level
153K-204K Annually
Senior level
Cloud • Information Technology • Machine Learning
Build and maintain fault-tolerant Kubernetes infrastructure on bare metal, including automated control-plane provisioning, cluster lifecycle management, operators, testing, reliability improvements, and production support. Develop tooling with Python, Golang, and Bash; troubleshoot Linux and Kubernetes systems; use GitOps, Ansible, CI/CD, and Grafana; and participate in an on-call rotation.
Top Skills: AnsibleAnsible TowerAwxBashCluster ApiGithub ActionsGitlab CiGoGrafanaKubeadmKubeceptionKubernetesKubesprayLinuxPython
17 Days Ago
Remote or Hybrid
Brooklyn, NY, USA
165K-250K Annually
Senior level
165K-250K Annually
Senior level
Cloud • Digital Media • News + Entertainment • On-Demand
Build and operate Philo’s ML and LLM infrastructure, including AWS and Kubernetes platforms, GPU scheduling, model serving, inference optimization, monitoring, evaluation, experimentation, and CI/CD. The role establishes infrastructure best practices, reliability, security, scalability, and Infrastructure as Code while supporting recommendation, video classification, and agent workloads. It also involves collaborating with engineers and vendors to deploy, instrument, and manage production systems.
Top Skills: AirflowAlbAmazon BedrockAnthropicAWSC++CloudFormationCloudwatchDagsterDatadogDnsDockerDvcElasticacheElbElkFeastFluentdGitlabGoGrafanaHTTPIamInfluxdbJavaScriptJenkinsKubeflowKubernetesLakefsLinuxLitellmMetaflowMlflowNlbNvidia TritonOpenaiPgvectorPineconePrometheusPythonRagRayRdsRoute 53RubySqsTcp/IpTectonTensorrt-LlmTerraformTgiTickTypescriptVllmVpcWeaviateWeights & Biases

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

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account