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Senior DevOps Engineer

Avantos • 🌐 Remote

Remote Posted 1 week, 2 days ago

Job Description

Company overview

Avantos is building the industry's first AI-native operating system for financial services, redefining how firms onboard clients, deliver advice, and manage core servicing workflows. Our platform unifies fragmented data, automates complex processes, and embeds intelligent decision-making across every step of the client lifecycle.

We partner with leading financial institutions and are scaling rapidly. We're an execution-driven, design-obsessed, product-led team composed of founders and leaders from Wharton, MIT, top design programs, and prior unicorn SaaS companies. We move fast, solve deep industry problems, and build technology that puts users back in control of their workflows.

If you love client impact, product design, complex problem solving, and bringing AI-enabled change to real-world businesses, Avantos is where you will thrive.

Job summary

We're seeking a Senior DevOps Engineer / Site Reliability Engineer to own and evolve our infrastructure, reliability, and deployment practices. You'll be responsible for building the foundational platform that enables our engineering teams to ship quickly and reliably while maintaining the security and compliance standards required in financial services.

Design, implement, and maintain our AWS cloud infrastructure using infrastructure-as-code principles with Terraform

Build and optimize CI/CD pipelines to enable rapid, safe deployments across multiple environments

Own observability strategy—implement comprehensive monitoring, logging, and alerting systems using Datadog and other tooling

Architect and manage containerized workloads on ECS Fargate and evaluate migration paths to Kubernetes

Establish and enforce security best practices, working closely with compliance teams on financial services requirements

Design and implement disaster recovery, backup, and business continuity strategies

Optimize system performance, cost efficiency, and resource utilization across AWS services

Collaborate with engineering teams to improve service reliability, reduce toil, and establish SLOs/SLIs

Participate in incident response and conduct thorough post-mortems to drive continuous improvement

Mentor engineers on DevOps practices, cloud architecture patterns, and operational excellence

Your skills will include

8+ years of experience in DevOps, SRE, or infrastructure engineering roles

Expert-level proficiency with AWS services including ECS Fargate, ALB, Cognito, S3, SQS, and related services

Deep hands-on experience with Terraform for managing complex, multi-account AWS environments

Strong scripting and automation skills in Python and/or Bash

Proven experience designing and implementing CI/CD pipelines (GitHub Actions, ArgoCD, or similar)

Solid understanding of containerization technologies (Docker) and orchestration platforms (Kubernetes/ECS)

Experience with observability and monitoring tools (Datadog, CloudWatch, or equivalent)

Deep knowledge of networking, security, and AWS best practices

Strong problem-solving abilities and experience troubleshooting complex distributed systems

Excellent communication skills and ability to work cross-functionally with engineering teams

Nice to haves

Experience in financial services or highly regulated industries

Familiarity with event-driven architectures and message queue systems (Kafka, SQS)

Experience with PostgreSQL performance tuning and RDS management

Knowledge of microservices architecture patterns and service mesh technologies

Experience with security tooling, vulnerability scanning, and compliance frameworks

Familiarity with our application stack (Golang, Next.js, PostgreSQL)

Experience managing AI/ML infrastructure and AWS Bedrock

What we offer:

Competitive compensation + meaningful equity

Opportunity to build production infrastructure from the ground up for a rapidly scaling AI platform

A culture optimized for engineering excellence, focus, deep work, and ownership—not ticket factories

Remote work flexibility

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