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SherlockTalent

Backend Dev/Architect & Infrastructure DevOps Engineer

Career Insights for Infrastructure Architect

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What they do

An Infrastructure Architect designs and installs computer systems and system upgrades for a business or organization. Develops technical design for new software to be integrated into computer systems and manages the integration of new system architecture. Reviews computer system performance and security and recommends upgrades and design improvements.

$138,689 / year median in the U.S.

+3% projected growth

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Job Description

Position:
Backend Dev & Infrastructure DevOps Engineer Level:
Senior /
Mid-Senior Location:
Remote, Miami-based Compensation:
Competitive Hourly Rate, 12+ month contract Reports to:
Lead Full-Stack Cloud Architect Engagement:
1+ year contract, remote Overview This role merges backend/serverless data engineering with cloud infrastructure — one person who owns the data layer and also owns containerization and load balancing. You implement the persistence and data-access layer the architect specs (potentially different databases per client, depending on the architects decision), wire in authentication, and make the whole thing deployable, observable, and resilient against a 99.95% uptime target. If the platform runs on AWS, this role lives in Lambda day to day, using Amazons own APIs for data access; on Azure, the equivalent serverless/data-access stack applies. What Youll Build Serverless backend functions end-to-end (AWS Lambda, or Azure Functions if thats the chosen provider) — daily-driver work, not occasional serverless Data access layer against per-client databases (Mongo and/or SQL, per architecture decision) using the cloud providers native APIs Authentication/authorization implementation Silo enforcement — no clients data path touches anothers Containerization strategy (Docker/ECS/EKS or Azure equivalent) Load balancing — configured per client where required CI/CD, observability, and failover engineered to hit 99.95% uptime, with a costed path to 99.99% if the business wants it later Must Have 6+ years backend/infrastructure, including 2+ years building on AWS Lambda or Azure Functions in production at volume, and hands-on container orchestration in production Comfortable in Java, Python, or Go (explicitly not Node.js) Experience with both document (MongoDB/DynamoDB) and relational (SQL) persistence AWS or Azure load-balancing and multi-tenant deployment experience Financial-services or other high-compliance backend/infra experience Has actually owned an uptime SLA in the 99.9-99.99% range and can explain the architecture tradeoffs at each tier, not just repeat "high availability" back to you Not for you? Sherlock loves to share referral success bonuses. Add your name in the referral field.