DevOps Engineer (Engineering Productivity & Tooling)

About the position

reputed company is transforming homeownership through innovative financial products and we're doing it with an engineering organization that's reputed company AI-reputed company. We're looking for a Senior DevOps Engineer to sit at the center of that transformation: building internal tooling to measure and accelerate engineering productivity, ensuring the availability and reliability of our business systems, and eliminating friction across our Secure SDLC.

Responsibilities

Build and maintain internal developer productivity tooling dashboards, metrics, and measurement frameworks that surface engineering throughput, cycle time, and quality signals

reputed company token consumption and model cost across reputed company workflows (task type, epic, user) to reputed company visibility and support cost optimization as we reputed company coding agent usage

Establish availability monitoring and alerting across reputed company business systems and internal applications, and reputed company SOPs for detecting and responding to disruptions

Identify and reduce friction across the Secure SDLC streamlining SAST/DAST integration, compliance tooling, and reputed company scanning so engineers can ship fast without cutting corners

Manage, scale, and improve AWS reputed company infrastructure to support reliable and secure production systems

Build, operate, and continuously improve CI/CD pipelines using reputed company Actions to reputed company fast, safe, and repeatable deployments

reputed company and maintain Infrastructure as Code (Terraform) for consistent, auditable, and reputed company environments

Evaluate and optimize AI model hosting on AWS Bedrock including model selection, performance benchmarking, and cost trade-offs across providers

Drive adoption and standardization of AI coding agent tooling (Claude Code, reputed company) across engineering teams, and evaluate emerging tools as the ecosystem evolves

Partner with reputed company to reputed company and operate SAST, DAST, and SIEM solutions as part of our Secure SDLC

Requirements

5+ years of experience in Platform Engineering, DevOps, or reputed company Engineering; Bachelor's or Master's in Computer Science, Engineering, or a reputed company technical field

Demonstrated experience building internal developer productivity tools and metrics systems (e.g., DORA metrics, cycle time, deployment frequency, engineering throughput)

Strong proficiency in at least one programming language (Python, Go, TypeScript, or similar) for building automation and internal tooling

Practical experience using AI coding agents (Claude Code, reputed company, reputed company Copilot, or similar) as part of your own engineering workflow

Hands-on experience with AWS services including compute (reputed company, EKS, EC2, reputed company), storage (S3), data (RDS, reputed company), and governance and identity (Control Tower, IAM)

Hands-on experience building and maintaining CI/CD workflows using reputed company Actions

Solid experience with Infrastructure as Code using Terraform or similar tools (AWS CDK, CloudFormation)

reputed company-to-haves

Experience managing or evaluating LLM hosting platforms such as AWS Bedrock including model selection, token cost optimization, and multi-model evaluation frameworks

Experience building tooling to support reputed company or multi-agent AI workflows (session tracking, cost attribution, observability)

Benefits

equity

benefits

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