Senior Software Engineer, Backend
Job type: Full Time · Department: Engineering · Work type: On-Site
Miami, Florida, United States
About Iru
Iru is the AI-powered security & IT platform used by the world’s fastest-growing companies to secure their users, apps, and devices. Built for the AI era, Iru unifies identity & access, endpoint security & management, and compliance automation—collapsing the stack and giving IT & security time and control back.
Iru is backed by some of the smartest investors in tech—General Catalyst, Tiger Global, Felicis, Greycroft, and First Round Capital. In July 2024, Iru raised $100 million from General Catalyst, valuing the company at $850 million. Customers include Notion, Cursor, Lovable, Replit, and Mercor, and Iru partners with industry leaders such as ServiceNow and AWS. Iru was named to Forbes’ America’s Best Startup Employers 2025 list for employee engagement and satisfaction.
The Opportunity
As a Senior Software Engineer, you will play a key role in shaping the architecture, tools, and development processes for one of Iru’s product lines. You will collaborate with developers to design, build, and evolve the product while focusing on reliability, scalability, and security concerns. You will work closely with product designers to transform ideas into technical solutions, and help oversee AI implementations.
Required to work on-site in our Coral Gables office Monday - Friday.
How You Will Make a Difference Day to Day:
Build and Maintain Service Architecture: Architect and implement reliable, scalable backend services to support the application.
Drive Infrastructure Improvements: Partner with the infrastructure team to evolve CI/CD pipelines and service deployment patterns.
Mentor and Lead by Example: Lead technical development with knowledge of up-to-date best practices, and guide other engineers through code reviews, architectural discussions, and technical decision-making.
Design for Scalability and Resilience: Build systems that handle growth gracefully and are resilient to failure across distributed environments.
Evolve Messaging and Integration Patterns: Contribute to the adoption and evolution of event-driven architectures and asynchronous service communication using tools like Kafka or similar.
Champion Developer Productivity: Ensure our tooling provides developers with the best environment to develop locally, test, and ship their code.
Continuously Improve Systems: Proactively identify bottlenecks and technical debt, leading efforts to improve platform stability and performance.
Minimum Qualifications:
5+ years of professional software engineering experience.
Strong proficiency in backend programming languages (e.g., Python, Go, Java, or similar).
Experience with event-driven architectures and message brokers (e.g., Kafka, Kinesis, RabbitMQ).
Knowledge of security and compliance considerations.
Deep understanding of service-oriented architecture and microservices best practices.
Prior experience in a fast-paced startup environment.
Proficiency with cloud platforms such as AWS or GCP.
Ability to identify problems/opportunities, break them down into critical parts, and design scalable solutions.
Hands-on experience with CI/CD pipelines, infrastructure automation, and deployment strategies.
Strong knowledge of RESTful APIs and/or gRPC.
Experience writing unit and integration tests to ensure high-quality software.
Experience with Docker and container orchestration platforms such as Kubernetes or ECS.
Proficiency in SQL and experience with relational databases such as Postgres or MySQL.
Strong experience with peer code reviews, offering and receiving constructive feedback to maintain and elevate coding standards.
Preferred Qualifications:
Exposure to frontend architecture (e.g., React)
Familiarity with content delivery networks (CDNs) and caching strategies.
Familiarity with E2E testing systems (e.g. Playwright)
Familiarity with integrating and scaling backend systems that interact with Large Language Models (LLMs).
Experience with API gateways (e.g., Kong, AWS API Gateway).
Familiarity with service meshes (e.g., Dapr, Linkerd, Istio).
Experience with observability tools and practices, including distributed tracing, logging, and monitoring.
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