Senior DevOps Engineer

Bluprynt; Washington (District of Columbia); Remote; USD 140,000 - 190,000; Full time

Job summary

Bluprynt is hiring a Senior DevOps Engineer to own cloud infrastructure, CI/CD, and end-to-end deployment pipelines. You will lead the move to a unified monorepo, ensure reliable data integrations, and build agent-driven workflows with AI at the core.

Strong AWS, IaC, and observability experience are essential, with EST-friendly remote hours. As a key member of a lean, high-ownership team, you will ship quickly without sacrificing quality or visibility, and collaborate closely with customers and

Qualifications

• 8+ years in DevOps, SRE or infrastructure engineering.
• Strong AWS production experience (EC2, ECS/EKS, Lambda, RDS, S3, VPC, IAM).
• Infrastructure as code using Terraform or CDK for AWS resources.
• Data infrastructure at scale: ingestion, streaming, warehouses, ETL orchestration.
• Containers and orchestration with Docker and Kubernetes in production.
• CI/CD design at scale, ideally in a monorepo.
• Observability tooling such as Datadog, Grafana, Prometheus or OpenTelemetry.
• Solid coding ability in TypeScript, Go, Rust or Python; you write tooling.

Responsibilities

• Own cloud infrastructure, CI/CD and deployment pipelines end to end, as code.
• Lead the move to a unified monorepo and pipeline with automated checks on every merge.
• Maintain reliable blockchain data integrations: RPC providers, failover, rate limits and indexing.
• Build agentic development workflows for the team: agent-driven CI, test generation and env setup.
• Make onboarding fast so new engineers ship within days.
• Set up observability, alerting, incident response and cost controls.

Skills

Agentic development with AI

Initiative and leadership

Attention to detail

Observability and monitoring

CI/CD design

Security and secrets management

Programming languages

Tools

AWS

Terraform / CDK

Docker

Kubernetes

Datadog

Grafana

Prometheus

OpenTelemetry

PostgreSQL

Node.js

Job description

Senior DevOps Engineer

Own how Bluprynt builds, ships and runs software: cloud infrastructure, CI/CD and data infrastructure, end to end, with AI agents at the core of the workflow.

Remote · EST hours
Full-Time
Reports to CPO

THE OPPORTUNITY

We're hiring a senior DevOps engineer with deep AWS and data infrastructure experience to own how Bluprynt builds, ships and runs software. You'll be one of a small number of engineers, so you'll own the platform end to end and set the standard for how the team works.

Bluprynt is the Compliance OS for digital assets—the enterprise-grade infrastructure layer linking off-chain compliance with on-chain identity, policy, and supervisory visibility. Trusted by leaders across TradFi and DeFi and built in close alignment with central banks and regulators worldwide, Bluprynt helps issuers, banks, and market participants meet regulatory expectations without sacrificing the speed and modularity of on-chain systems.

The company completed the EU's first MiCA pilot, launched Know Your Issuer (KYI) with Paxos and Circle, partnered with Chainlink on automated on-chain compliance enforcement, and closed an oversubscribed $4.25M Seed round in 2026.

This role is for someone who builds with AI agents as a core part of their workflow, not as an experiment. You'll design the pipelines, guardrails and review processes that let a lean team ship fast without losing quality or visibility. Strong English communication skills and the ability to work core EST hours are required.

WHAT WE ARE LOOKING FOR

The bar

What you'll do

• Own our cloud infrastructure, CI/CD and deployment pipelines end to end, as code.
• Lead the move to a unified monorepo and pipeline, with branch protection, required reviews and automated checks on every merge.
• Keep our blockchain data integrations reliable: RPC providers, failover, rate limits and indexing. No prior web3 experience required; we will get you up to speed.
• Build agentic development workflows for the whole team: agent-driven CI, automated review, test generation and environment setup.
• Make onboarding fast. A new engineer should be shipping within days, not still confused a month in.
• Set up observability, alerting, incident response and cost controls that a small team can actually run.
• Own security and secrets management, access control and infrastructure hardening.
• Work directly with customers and internal teams to deploy, debug and adapt our platform in real environments (forward-deployed engineering).
• Review PRs across the codebase and hold the bar on quality, context and documentation.

Non-negotiables

• Elite agentic development skills AI coding agents are central to how you build. You can show us workflows, tooling or pipelines you've built around agents, and you know where they fail and how to guard against it.
• Extreme attention to detail You read every line you approve. Small PRs, clear descriptions, tested changes and documentation are habits, not chores.
• Extreme initiative and leadership You find problems before they're assigned, fix them, and raise the bar for everyone around you. You speak up when something is wrong, including in code you reviewed.

What you bring

• 8+ years in DevOps, SRE or infrastructure engineering Minimum 8 years, with production systems you owned end to end.
• Strong agentic development experience A track record of building with AI coding agents in production work, including the guardrails and review processes around them.
• AWS in production Strong, hands-on AWS experience in production. AWS is our stack: you know EC2, ECS/EKS, Lambda, RDS, S3, VPC networking, IAM and cost management in depth.
• Infrastructure as code Terraform, CDK or similar for everything you run on AWS.
• Data infrastructure at scale Building and operating high-volume ingestion, streaming, warehouses and ETL orchestration that stay reliable as data grows.
• Containers and orchestration Docker, Kubernetes or ECS in production.
• CI/CD at scale CI/CD design at scale, ideally in a monorepo.
• Observability Datadog, Grafana, Prometheus, OpenTelemetry or similar.
• Solid coding ability At least one of TypeScript, Go, Rust or Python. You write tooling, not just config.
• Early-stage ownership Experience as an early engineer at a seed or Series A startup, or a comparable high-ownership role.

How we work

• Small team, full ownership Everyone specializes, but everyone can work in any part of the codebase.
• Real review Every merge needs an approval, and the approver owns it as much as the author.
• Visibility by default What ships each day is easy to see and easy to explain.
• Agents everywhere We expect you to multiply your output with AI and to help the rest of the team do the same.

Strong-to-Have

• Experience with blockchain RPC infrastructure: nodes, node providers, failover, archive data and chain reorgs.
• Familiarity with Ethereum/EVM chains or Solana.
• Experience with blockchain indexers and data pipelines (The Graph, Substreams, custom indexers).
• Forward-deployed or customer-facing engineering experience.
• Security or compliance work (SOC 2, key management, audits).

What you'll work with

TypeScript, Node.js, PostgreSQL, Heroku (migrating), multiple on-chain adapters (Solana SAS, EAS, Base, Plume, Sepolia, Aptos, Avalanche, Stellar).

AWS (ECS/EKS), PostgreSQL, Redis, infrastructure as code, a unified monorepo and pipeline with required reviews and automated checks on every merge.

You will own the transition from the current stack to the target architecture, end to end and as code.

The offer

• Ground-floor equity in a company building critical infrastructure for a multi-trillion-dollar market transition.
• Direct impact: the platform you build becomes the system that regulators, issuers, and exchanges depend on.
• A founder who has already mapped the compliance domain in depth—you are not figuring out the product alone.
• Autonomy to shape the engineering org, stack, and culture from the earliest stage.
• Competitive salary commensurate with experience (discuss in initial screen).

Bluprynt is building the compliance metadata foundation that makes credentials trustworthy. Credentials are the enforcement layer. Compliance metadata is the evidence layer. We link the two.