Job description
We are supporting a specialized VC firm in financial services, with offices in New York, London, and Berlin, focused on building, backing, and buying technology-enabled financial and business services companies. The firm is incubating a new insurtech venture aimed at digitizing life-insurance distribution across North America and expanding into wealth-advisory use cases.
What you’ll own
- A monorepo structure with clear conventions for all services.
- A fully working example service that shows developers how everything should be built and deployed.
- Terraform modules for all infrastructure (networking, compute, storage, IAM).
- CI/CD pipelines that define the standard path from build → test → deploy.
- Docker image standards and ECS/Fargate deployment patterns.
- Secret management (IAM, KMS, SSM/Secrets Manager), you control and maintain secure keys.
- Baseline monitoring, logging, metrics, and alerting for all services.
- Documentation and runbooks that make onboarding and scaling easy.
Requirements
- AWS expert: VPC, IAM, ALB, CloudWatch, S3, RDS/DynamoDB, Secrets Manager.
- Terraform expert: authored modules, complex state mgmt, multi-environment design.
- CI/CD builder: pipelines designed or rebuilt from scratch (GitHub Actions preferred).
- Docker + ECS: deployed containers with autoscaling, health checks, log routing.
- Ability to set up basic monitoring, logs, metrics, and alerts for ECS-based services (CloudWatch preferred).
- Experience maintaining a monorepo or creating deployment boilerplate/templates.
- Strong experience with secret and key management (IAM policies, KMS, SSM).
Nice to have
- Experience with Datadog, Prometheus/Grafana, or CloudWatch dashboards.
- Background in security hardening, IAM least-privilege, and image scanning.
- Prior startup or high-growth experience.
- Cost optimization experience on AWS.
Additional Information
- 1-year contract with extensions based on performance
- Competitive USD hourly rates aligned to experience
- Remote in Latin America (EST)
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
