SwiftLynx

AI-driven resume screening and shortlisting platform

Staff Software Engineer

Platform Engineering +1Confirmed live in the last 24 hours

Full-timeSan Francisco, CA, USANo salary listed

About the Job

Requirements

At least 8 years of software engineering experience, including at least 3 years focused on Infrastructure, Site Reliability Engineering, or Platform Engineering.
Deep experience with TypeScript and Node.js ecosystems.
Understanding of serverless functions, including Lambdas and Vercel, edge functions, and cold starts.
Proficiency with Terraform, Pulumi, or SST.
Experience managing connection pooling, caching strategies such as Redis, and database migrations at scale.
Familiarity with OAuth flows, webhooks, and rate-limiting strategies.
Ability to balance technical purity with business needs and determine when to ship a sufficient solution versus engineering for significant scale.

Responsibilities

Design and maintain infrastructure on Vercel and AWS.
Transition the platform from simple serverless functions to an event-driven architecture capable of handling high-volume webhook ingestion and data processing.
Implement tracing, logging, and alerting to ensure 99.99% uptime for API integrations.
Build internal tooling and continuous integration and continuous delivery pipelines using GitHub Actions to help product engineers ship features safely and quickly.
Manage and scale the data layer, optimizing Upstash (Redis/Kafka) and primary databases (Postgres/SQL) for performance and cost.
Lead SOC 2 compliance, data encryption, and secure credential-management initiatives, including secure handling of OAuth tokens.
Mentor senior and mid-level engineers, drive technical RFCs, and make build-versus-buy decisions for the technology stack.

Desired Qualifications

Experience with Next.js internals and Vercel infrastructure.
Experience implementing queueing systems such as BullMQ, SQS, or Kafka for asynchronous job processing.
Background in the human resources technology or applicant tracking system space, including Ashby, Lever, or Greenhouse.

About the Role

We are looking for a Staff Infrastructure Engineer to lead the evolution of our cloud architecture. As SwiftLynx AI scales, we need to move from "moving fast" to "moving fast with stability." You will be the technical lead for our infrastructure, responsible for reliability, scalability, and—most importantly—developer velocity.

You won't just be writing Terraform; you will be defining how our engineering team ships code, manages state, and handles API reliability across thousands of integrations.

What You’ll Do (Responsibilities)

Architect for Scale: Design and maintain our infrastructure on Vercel and AWS. Transition us from simple serverless functions to a robust, event-driven architecture capable of handling high-volume webhook ingestion and data processing.

Reliability & Observability: Own the "production readiness" of our platform. Implement comprehensive tracing, logging, and alerting (e.g., Datadog, OpenTelemetry) to ensure 99.99% uptime for our API integrations.

Developer Experience (DevEx): Build internal tooling and CI/CD pipelines (GitHub Actions) that allow product engineers to ship features safely and quickly without worrying about infrastructure.

Data Infrastructure: Manage and scale our data layer, specifically optimizing our usage of Upstash (Redis/Kafka) and our primary databases (Postgres/SQL) for performance and cost.

Security & Compliance: Lead initiatives for SOC2 compliance, data encryption, and secure credential management (handling OAuth tokens securely is critical to our business).

Technical Leadership: Mentor senior and mid-level engineers, drive technical RFCs, and make build-vs-buy decisions for our tech stack.

What We’re Looking For

Experience: 8+ years of software engineering experience, with at least 3+ years focused on Infrastructure, SRE, or Platform Engineering.

Modern Stack Expertise: Deep experience with TypeScript/Node.js ecosystems. You understand the nuances of Serverless (Lambdas/Vercel), Edge functions, and cold starts.

Infrastructure as Code: Proficiency with Terraform, Pulumi, or SST. You believe infrastructure should be versioned and reviewed just like application code.

Database Scaling: Experience managing connection pooling, caching strategies (Redis), and database migrations at scale.

Integration Knowledge: Familiarity with OAuth flows, Webhooks, and rate-limiting strategies (concepts vital to our product).

Strategic Mindset: Ability to balance technical purity with business needs. You know when to ship a "good enough" solution and when to engineer for 10x scale.

Bonus Points

Experience with Next.js internals and Vercel’s infrastructure.

Experience implementing Queueing systems (BullMQ, SQS, Kafka) for asynchronous job processing.

Background in the HR Tech / ATS space (Ashby, Lever, Greenhouse).

Our Tech Stack

Frontend/Backend: Next.js (App Router), TypeScript, React

Infrastructure: Vercel, AWS

Data: Upstash (Redis), Postgres

CI/CD: GitHub Actions

Observability: [Your Tool, e.g., Sentry, Datadog]

About the Company

SwiftLynx

AI-driven resume screening and shortlisting platform

SwiftLynx.ai provides an AI-powered resume screening tool that helps recruiting firms, in-house hiring teams, and startups speed up talent acquisition by automatically analyzing large volumes of resumes and turning them into ranked, shareable shortlists. The platform uses multi-layer AI to assess fit for a job description beyond keyword matching, scoring, ranking, and vetting candidates, and then generating evidence-backed reports with match scores, strengths, potential risks, and actionable insights. Users can share shortlists via a single link to align on who to interview next. SwiftLynx.ai integrates with major ATS systems like Lever, Greenhouse, and Ashby, enabling automatic analysis as candidates apply, and also supports upload workflows through Google Drive and Google Sheets for teams without an ATS. The goal is to streamline hiring workflows, reduce time-to-shortlist from hours to minutes, and speed up decisions to move candidates to the interview stage.

Company size: 1-10
Company stage: Not listed
Total funding: Not listed
Headquarters: Not listed
Founded: 2025

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