About Intellistack
At Intellistack, we're committed to revolutionizing the way organizations collect information, automate workflows, and create seamless digital experiences. Founded with the belief that work should be simplified, Intellistack has grown into a leading provider of powerful, no-code productivity solutions that help teams do more with less. Across thousands of organizations worldwide, our tools and platform empower users to quickly build custom forms, automate document generation, capture eSignatures, and streamline data-driven processes—all without needing to write a single line of code.
Who We Are
At Intellistack, we don’t do status quo. We move fast, think deep, and build what’s next—powered by people, supercharged by AI. We’re a team of builders: curious, driven, and relentless about solving the real problem. Around here, feedback is fuel, clarity wins, and change is the default setting.
Who You Are
You are a pragmatic software engineer who enjoys solving complex technical problems and building scalable, secure systems. You have a strong foundation in backend development and a passion for identity, authentication, and platform services.
What You’ll Do
As a Software Engineer at Intellistack you’ll be part of the team that develops and owns identity and authentication, policy and access control, integrations, notifications, and AI services including Omni. Your work will directly contribute to platform security, enterprise customer adoption, product innovation, and business growth.
- Design and build RESTful APIs and microservices that support internal and external platform capabilities
- Design, develop, test, and maintain backend services using Java and Python
- Build and enhance identity platform capabilities supporting OAuth 2.0, OpenID Connect (OIDC), SSO, and SCIM-based provisioning
- Develop scalable event-driven services and integrations using Kafka
- Deploy, monitor, and optimize applications running in Kubernetes environments
- Partner with Product, Security, and Infrastructure teams to deliver secure, reliable, and high-performing platform services
- Participate in architecture discussions, technical design reviews, and engineering planning
- Troubleshoot production issues, perform root cause analysis, and implement durable solutions
- Contribute to CI/CD pipelines, observability practices, and engineering automation initiatives
- Leverage AI-powered development tools to improve productivity, quality, and delivery velocity
Why You’ll Love Working Here
- Flexible PTO that empowers work-life balance
- Health and wellness benefits that support you and your family
- Professional development support, including a learning stipend to help you grow
- A flexible hybrid work environment that balances autonomy with opportunities for in-person collaboration
- An inclusive, authentic community where your voice matters and you can be yourself
What We’re Looking For
- 3+ years of professional backend software engineering experience developing backend or platform services
- Strong proficiency in Java and Spring Boot
- Experience building and consuming RESTful APIs and microservices
- Working knowledge of identity and access management concepts, including OAuth 2.0, OpenID Connect (OIDC), SSO, and SCIM
- Experience with event-driven architectures using Kafka or similar messaging technologies
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform
- Strong understanding of software engineering best practices, including testing, observability, and CI/CD
- Excellent communication, collaboration, and problem-solving skills
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
Bonus Points
- Experience deploying and supporting applications in Kubernetes environments
- Experience integrating with Okta, Auth0, Ping Identity, or Keycloak
- Experience building enterprise SSO, SAML, or user provisioning solutions
- Familiarity with Terraform or Infrastructure as Code practices
- Experience with OpenTelemetry, Datadog, Grafana, or similar observability platforms
- Experience working in a SaaS product environment
- Experience leveraging AI-assisted development tools to improve engineering productivity
