Staff Software Engineer

About Invisible

Invisible Technologies is the AI training and scaling partner for the leading foundation model providers, enterprises, and governments, bridging the gap between AI potential and production. Invisible’s unique AI Process Platform combines elite global human expertise, cutting edge technology, and deep institutional knowledge gained by training 80% of the world’s leading AI models. Trusted by AWS, Microsoft, and Cohere, we have an unparalleled ability to operationalize AI for real-world applications. Our explosive growth landed us the #2 spot on the Inc. 5000 in 2024, closing the year on $134m revenue.

About The Role

We are seeking a highly experienced and technically profound Staff Software Engineer to join our distributed engineering team. In this role, you will be a key contributor to the design, development, and scaling of the core platform services that power our AI Process Platform. You will work on complex, distributed systems at the intersection of AI, automation, and human-in-the-loop workflows, ensuring our platform is robust, scalable, and highly performant.

This is an opportunity to make a significant impact on a rapidly growing product, solve challenging engineering problems, and directly contribute to shaping the future of AI-powered operations.

What You’ll Do

• Lead the design and implementation of critical backend services and APIs, ensuring high availability, scalability, and security.
• Drive architectural decisions and technical vision for core platform components, contributing to our overall system design.
• Collaborate with product managers, AI researchers, and other engineering teams to translate complex requirements into technical solutions.
• Mentor junior and mid-level engineers, fostering a culture of technical excellence and best practices.
• Troubleshoot and resolve complex production issues across a distributed microservices environment.
• Contribute to the evolution of our CI/CD pipelines, monitoring, and operational excellence.
• Champion engineering best practices, code quality, and maintainability.

What We Need

• 6+ years of professional experience in software development, with a significant focus on backend systems and distributed architectures.
• Expertise in microservices architecture, including designing and implementing RESTful APIs and/or gRPC services.
• Strong proficiency in at least one of the following programming languages: Python, Java, or TypeScript, with a preference for experience in more than one.
• Familiarity with event-driven architectures and hands-on experience with event queues or message brokers (e.g., Kafka, Google Pub/Sub, AWS SQS, Azure Service Bus).
• Strong understanding of database technologies, both relational (SQL like PostgreSQL, MySQL) and non-relational (NoSQL like MongoDB, Cassandra, DynamoDB), including schema design, query optimization, and data modeling.
• Demonstrated experience deploying and operating production services in cloud environments (GCP, AWS, or Azure).
• Desired experience with Kubernetes for container orchestration and deployment.
• Experience with building scalable, resilient, and observable systems.
• Excellent problem-solving skills, ability to debug complex systems, and a proactive approach to engineering challenges.
• Strong communication skills and ability to thrive in a remote, highly collaborative environment.

What’s In It For You

Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity.

For this position, the annual salary ranges by location are:

Tier 1$182,000—$214,000 USDTier 2$165,000—$194,000 USDTier 3$149,000—$175,000 USD

An Invisible Talent Acquisition Partner can provide more information on which locations are included in each of our geographic pay tiers during the interview process. For candidates outside the U.S., compensation will be adjusted to reflect local market conditions and cost-of-living differentials.

Bonuses and equity are included in offers above entry level. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process.

What It's Like to Work at Invisible:

At Invisible, we’r