Bluprynt
Senior DevOps Engineer
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Devops
- Posted
Skills
Must have
- 8+ years of DevOps, SRE, or infrastructure engineering experience
- Strong production experience building with AI coding agents, including guardrails and review processes
- Hands-on production AWS experience with EC2, ECS/EKS, Lambda, RDS, S3, VPC networking, IAM, and cost management
- Infrastructure-as-code experience using Terraform, CDK, or similar
- Experience building and operating high-volume ingestion, streaming, warehouses, and ETL orchestration
- Production experience with Docker, Kubernetes, or ECS
- Experience designing CI/CD at scale, ideally in a monorepo
- Experience with observability tools such as Datadog, Grafana, Prometheus, or OpenTelemetry
- Coding ability in TypeScript, Go, Rust, or Python
- Experience as an early engineer at a seed or Series A startup or in a comparable high-ownership role
- Strong English communication skills
- Ability to work core EST hours
Full description
You will own cloud infrastructure, CI/CD, deployment pipelines, data infrastructure, security, and observability end to end. You will lead the transition to a unified monorepo and AWS-based architecture, build AI-agent workflows, maintain reliable blockchain data integrations, and support customer deployments. You will review pull requests, strengthen engineering practices, and make onboarding fast and effective.
Responsibilities
- Own cloud infrastructure, CI/CD, and deployment pipelines as code
- Lead the move to a unified monorepo and pipeline with branch protection, required reviews, and automated checks
- Maintain reliable blockchain data integrations, including RPC providers, failover, rate limits, and indexing
- Build agentic development workflows, including agent-driven CI, automated review, test generation, and environment setup
- Improve engineer onboarding so new hires can ship quickly
- Set up observability, alerting, incident response, and cost controls
- Own security, secrets management, access control, and infrastructure hardening
- Deploy, debug, and adapt the platform with customers and internal teams
- Review pull requests and maintain standards for quality, context, and documentation
- Own the transition from the current stack to the target architecture
Requirements
- 8+ years of DevOps, SRE, or infrastructure engineering experience
- Strong production experience building with AI coding agents, including guardrails and review processes
- Hands-on production AWS experience with EC2, ECS/EKS, Lambda, RDS, S3, VPC networking, IAM, and cost management
- Infrastructure-as-code experience using Terraform, CDK, or similar
- Experience building and operating high-volume ingestion, streaming, warehouses, and ETL orchestration
- Production experience with Docker, Kubernetes, or ECS
- Experience designing CI/CD at scale, ideally in a monorepo
- Experience with observability tools such as Datadog, Grafana, Prometheus, or OpenTelemetry
- Coding ability in TypeScript, Go, Rust, or Python
- Experience as an early engineer at a seed or Series A startup or in a comparable high-ownership role
- Strong English communication skills
- Ability to work core EST hours
Benefits
- Ground-floor equity
- Autonomy to shape the engineering organization, stack, and culture