As a Software Engineer IV, you are a senior technical leader within your engineering team. You are responsible for the end-to-end design and delivery of high-impact features that power the PODS digital experience. You lead by example, balancing high-velocity coding practices with the responsibility of ensuring your team adheres to rigorous standards for performance, scalability, and security.

You thrive on solving complex problems, whether it’s optimizing a React/Vite front-end for consumer speed or architecting resilient Kotlin microservices. You are a primary driver of our "test-and-learn" culture, ensuring that every feature is verifiable through robust experimentation frameworks and observable via Datadog.

General Benefits & Other Compensation

Medical, dental, and vision insurance
Employer-paid life insurance and disability coverage
401(k) retirement plan with employer match
Paid time off (vacation, sick leave, personal days)
Paid holidays
Parental leave / family leave
Bonus eligibility / incentive pay
Professional development / training reimbursement
Employee assistance program (EAP)
Commuter benefits / transit subsidies (if available)
Other fringe benefits (e.g. wellness credits)

A Day in the Life

Technical Lead: Act as a technical "anchor" for your team, taking ownership of the technical approach to feature development and being accountable for delivering on schedule.
Code Excellence: Set the benchmark for the team by writing clean, maintainable, and highly performant code. Lead constructive code reviews that elevate the "technical floor" of the entire team.
Observability First: Own the production health of your team’s domain. Build and maintain Datadog dashboards and monitors to track SLOs/SLIs and ensure rapid incident response.
Collaboration: Partner closely with Product, UX, and cross-team stakeholders to shape/inform business requirements into technical design docs and actionable tickets.
Rapid Experimentation: Implement and manage A/B tests using Harness or Eppo, helping the team iterate quickly based on real-time customer data.
Mentorship: Provide consistent technical guidance to peers, helping them navigate complex integrations (e.g., Salesforce) and debugging sessions.

Responsibilities

Full-Stack Delivery: Develop end-to-end solutions across our stack (React, TypeScript, Kotlin, Spring Boot) with a focus on modularity and system resilience.
Operational Ownership: Lead the "path to production" for your team, owning infrastructure and ensuring CI/CD pipelines in Azure DevOps are efficient and deployments are seamless.
System Integration: Manage the technical integration between web applications and core platforms like Salesforce CDP, Snowflake, and CMS’s.
Process Improvement: Identify and resolve bottlenecks in the SDLC, contributing to better RFC processes and engineering documentation.
Performance Optimization: Proactively identify and fix performance bottlenecks in the browser or on the server to ensure a premium customer experience.

Our Tech Stack

Front-end: React, Vite, Next.js, TypeScript.
Back-end: Kotlin, Spring Boot, PostgreSQL.
Cloud & Infrastructure: Microsoft Azure (Kubernetes, Functions, Front Door), Docker, Helm.
Data & Analytics: Snowflake, Salesforce CDP.
Experimentation & Observability: Harness, Eppo, Datadog.
DevOps: Azure DevOps (ADO), Pipelines.
AI Tooling: Claude Code

Qualifications

Basic Qualifications

Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience).
Experience: 8+ years of professional software engineering experience (or equivalent experience), with a proven track record of delivering complex, consumer-facing applications.
Full-Stack Mastery: Expert-level proficiency in React/TypeScript and modern back-end languages (Kotlin, Java, C#, etc.).
Cloud Fluency: Solid experience with cloud-native architectures (Azure preferred), including microservices and RESTful API design.
Testing & Quality: Strong commitment to automated testing (Unit, Integration, E2E) and a "shift-left" approach to security and quality.

Preferred Qualifications

Experience with Snowflake data integrations and data-warehouse native experimentation.
Proficiency in Datadog for RUM, APM, and log management.
Familiarity with Salesforce ecosystem integrations.
Experience implementing AI-powered features (AI Chat, Search, or RAG architectures).

DISCLAIMER

The preceding job description has been designed to indicate the general nature of work performed; the level of knowledge and skills typically required; and usual working conditions of this position. It is not designed to contain, or be interpreted as, a comprehensive listing of all requirements or responsibilities that may be required by employees in this job.

Unsolicited Resumes from Third-Party Recruiters

Please note that as per PODS policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our Inclusive Diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that PODS will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person, or entity.