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Beacon Venture Capital

Software Engineer, Cloud Infrastructure – Multiple Seniority Levels

Beacon Venture Capital

. Cloud Infrastructure Setup and Maintenance: Design, provision, and maintain AWS infrastructure using IaC tools such as AWS CDK or Terraform.

Posted 5/15/2026full-timeSan Carlos • California • 🇺🇸 United StatesSenior💰 $130,000 - $230,000 per yearWebsite

Tech Stack

Tools & technologies
AirflowAWSCloudDynamoDBPostgresPythonTerraform

About the role

Key responsibilities & impact
  • Cloud Infrastructure Setup and Maintenance: Design, provision, and maintain AWS infrastructure using IaC tools such as AWS CDK or Terraform.
  • Build CI/CD and testing for apps, infra, and ML pipelines using GitHub Actions, CodeBuild, and CodePipeline.
  • Operate secure networking with VPCs, PrivateLink, and VPC endpoints. Manage IAM, KMS, Secrets Manager, and audit logging.
  • LLM Platform and Runtime: Stand up and operate model endpoints using AWS Bedrock and/or SageMaker; evaluate when to use ECS/EKS, Lambda, or Batch for inference jobs.
  • Build and maintain application services that call LLMs through clean APIs, with streaming, batching, and backoff strategies.
  • Implement prompt and tool execution flows with LangChain or similar, including agent tools and function calling.
  • RAG Data Systems and Vector Search: Design chunking and embedding pipelines for documents, time series, and multimedia. Orchestrate with Step Functions or Airflow.
  • Operate vector search using OpenSearch Serverless, Aurora PostgreSQL with pgvector, or Pinecone. Tune recall, latency, and cost.
  • Build and maintain knowledge bases and data syncs from S3, Aurora, DynamoDB, and external sources.
  • Evaluation, Observability, and Cost Governance: Create offline and online eval harnesses for prompts, retrievers, and chains. Track quality, latency, and regression risk.
  • Instrument model and app telemetry with CloudWatch and OpenTelemetry. Build token usage and cost dashboards with budgets and alerts.
  • Add guardrails, rate limits, fallbacks, and provider routing for resilience.
  • Safety, Privacy, and Compliance: Implement PII detection and redaction, access controls, content filters, and human-in-the-loop review where needed.
  • Use Bedrock Guardrails or policy services to enforce safety standards. Maintain audit trails for regulated environments.
  • Data Pipeline Construction: Build ingestion and processing pipelines for structured, unstructured, and multimedia data. Ensure integrity, lineage, and cataloging with Glue and Lake Formation.
  • Optimize bulk data movement and storage in S3, Glacier, and tiered storage. Use Athena for ad-hoc analysis.

Requirements

What you’ll need
  • End-to-End Ownership: Drives work from design through production, including on-call and continuous improvement.
  • LLM Systems Experience: Shipped or operated LLM-powered applications in production. Familiar with RAG design, prompt versioning, and chain orchestration using LangChain or similar.
  • AWS Depth: Strong with core AWS services such as VPC, IAM, KMS, CloudWatch, S3, ECS/EKS, Lambda, Step Functions, Bedrock, and SageMaker.
  • Data Engineering Skills: Comfortable building ingestion and transformation pipelines in Python. Familiar with Glue, Athena, and event-driven patterns using EventBridge and SQS.
  • Security Mindset: Applies least privilege, secrets management, network isolation, and compliance practices appropriate to sensitive data.
  • Evaluation and Metrics: Uses quantitative evals, A/B testing, and live metrics to guide improvements.
  • Clear Communication: Explains tradeoffs and aligns partners across product, security, and application engineering.
  • Bonus Points: 4+ years working with serverless or container platforms on AWS.
  • Experience with vector databases, OpenSearch, or pgvector at scale.
  • Hands-on with Bedrock Guardrails, Knowledge Bases, or custom policy engines.
  • Familiarity with GPU workloads, Triton Inference Server, or TensorRT-LLM.
  • Experience with big data tools for large-scale processing and search.
  • Background in aviation data or other safety-critical domains.
  • DevOps or DevSecOps experience automating CI/CD for ML and app services.

Benefits

Comp & perks
  • Healthcare: 100%* of employee medical premiums covered; 25% for dependents
  • Time Off: 3 weeks PTO plus 13+ paid company holidays
  • Stipends: Monthly phone and wellness benefits
  • 401(k): Offered (no current employer match, but we are committed to enhancing this benefit in the future).

ATS Keywords

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Hard Skills & Tools
AWSIaCTerraformGitHub ActionsCodeBuildCodePipelinePythonLangChainGlueAthena
Soft Skills
End-to-End OwnershipClear CommunicationSecurity MindsetEvaluation and Metrics