The #1 Converged Identity Platform with Intelligent Access Governance for Employees, Third Parties & Machines.

Principal Software Engineer, Request Team

Full-stack EngineerSoftware EngineerFull TimeRemoteTeam 501-1,000Since 2010H1B SponsorCompany Site LinkedIn

Location

California

Posted

112 days ago

Salary

$245K - $255K / year

Bachelor Degree10 yrs expEnglishAWSAzureCloudDockerElastic SearchJavaKafkaKubernetesMicroservicesRedisSDLCSpringSQL

Job Description

• Design and develop secure, scalable, multi-tenant software solutions that run seamlessly across major cloud platforms like AWS and Azure • Lead the design and implementation of highly complex, secure, and scalable multi-tenant architectures across cloud platforms • Act as a technical expert and thought leader, influencing product direction and engineering best practices • Drive continuous improvement in engineering processes, tooling, and operational reliability • Collaborate with internal teams to produce software design and architecture • Develop state-of-the-art enterprise identity cloud solutions • Test and deploy applications and systems • Revise, update, refactor and debug code • Ability to start a program from scratch as well as maintain existing services • Develop documentation throughout the software development life cycle • Serve as an expert on applications and provide technical support

Job Requirements

10+ years of software engineering experience
Expert-level ability utilizing technologies such as Java, Spring Framework, REST and Microservices
Strong Experience as a Java Engineer developing applications based on Security principles, cloud platforms (AWS, Azure, or Google Cloud) and Containerization (Docker, Kubernetes)
Deep understanding of data structures, algorithms, and design patterns
Hands on experience with SQL, ElasticSearch, Redis, CI/CD, AWS Glue, Kafka
Experience in increasing levels of responsibility managing application development, solution architecture, design and delivery, and process improvement
Experience with Git (GitHub/GitLab), automatic deployments, continuous integration
Experience with AI development tools in SDLC such as Amazon Q, Github Copilot, Cursor, and similar productivity assistants
Familiarity with various architectural patterns (e.g., event-driven, microservices, serverless) and their trade-offs