Anthelioncap
Infrastructure Engineer
New York City
Sponsorship not specified$140k-$225kDetected 109 days ago
PythonGitCloud PlatformsDockerKubernetesCI/CDDevOpsSite Reliability EngineeringPlatform EngineeringMachine LearningAirflowData EngineeringAgentic AIMLOpsAI OrchestrationManual TestingLoad BalancingUnderwriting
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37Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
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About the role
- You will work across the infrastructure layer beneath our data and ML/AI workflows cloud provisioning, container orchestration, CI/CD, and monitoring keeping our platform reliable, scalable, and secure.
Responsibilities
- Deploy, configure, and maintain shared platform services as containerized workloads including end-to-end ownership of networking, access, and connectivity between services.
- Manage cloud infrastructure, including container registries, managed identities, Key Vault secrets, storage backends, and virtual network configurations.
- Build and maintain CI/CD pipelines, branch protection policies, and release management workflows across repositories.
- Support the buildout and operationalization of agentic AI workflows, including agent hosting, lifecycle management, and integration with Model Context Protocol (MCP) servers.
- Help build shared tooling and infrastructure that enables data scientists to develop, test, and deploy agents with minimal friction.
- The platform integrates structured and unstructured data, advanced analytics, and automated workflows to drive superior, risk-adjusted returns in private credit and structured finance.
- Takes full ownership of outcomes and drives problems to resolution.
- Approaches challenges with a solutions-first mindset and delivers measurable results.
- Maintains composure under pressure while keeping momentum and focus.
- you will own the cloud infrastructure, deployment pipelines, orchestration, networking, and observability that everything else runs on.
Requirements
- 3+ years of experience in infrastructure, DevOps, platform engineering, or SRE roles with a clear track record of building and maintaining production systems.
- Experience with workflow orchestration tools (Prefect, Airflow, Dagster, or similar) in production environments.
- Strong documentation habits and the ability to communicate technical architecture clearly to diverse stakeholders.
- For those interested in growing into AI systems work, there is real room to do so over time - though none of the following is required to be successful in this role:
Nice to have
- Familiar with agentic workflow frameworks (e.g., MCP, LangChain, or similar).
- Experience with MLOps or ML infrastructure, including model training, retraining, and inference workflows.
- Familiarity with model serving and deployment patterns (batch inference, real-time APIs, feature stores).
- Experience standing up and maintaining third-party AI/ML platform tools (e.g., Langfuse, MLflow, or similar observability and evaluation platforms).
- Experience managing internal Python package distribution (private PyPI, Artifactory, or similar).
- Openness to flexing into adjacent engineering work data engineering, software engineering, and similar to help fill extra capacity where the team needs it.
- Work on greenfield architecture with high autonomy and technical depth.
- Culture grounded in technical excellence, transparency, and measurable impact.
Compensation
- $140,000 to $225,000 per year
Benefits
- Comprehensive health, dental, and vision insurance.
- Retirement savings plan with company match.
- That work is a welcome bonus rather than a prerequisite the heart of this role is building and maintaining the infrastructure around those platforms.
- Hybrid/flexible work arrangements and a supportive work environment.
Company info
- We are engineers and investors working together to redefine how institutional investment decisions are made faster, smarter, and more transparent.
- Anthelion is a next-generation investment firm building a proprietary AI and data platform that powers our investment lifecycle from underwriting to portfolio management.
- We are looking for an Infrastructure Engineer to build and operate the foundational systems that power our data, analytics, and AI platform.
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This listing is sourced directly from Anthelioncap's careers page and normalized into a canonical job model.