Jobgether

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

SaaS Platform Architect

Software EngineerSoftware EngineerFull TimeRemote

Location

United States

Posted

3 days ago

Salary

$250K - $350K / year

JavaSpring BootHibernateMy SQLRestful API DesignAWSDockerKubernetesCi/cdObservabilityGitInfrastructure AS CodeDistributed SystemsEvent Driven DesignMulti Tenant Saa S

Job Description

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

This is a high-impact technical leadership role focused on shaping the architecture of a large-scale, multi-tenant SaaS platform serving enterprise customers. The SaaS Platform Architect will define the long-term architectural strategy and guide the development of scalable, resilient, and secure cloud-native systems. Working closely with engineering, product, and leadership teams, this role ensures the platform can handle high data volumes, complex workloads, and strict reliability requirements. The position combines deep software architecture expertise with hands-on technical leadership, influencing backend systems, APIs, and data infrastructure. It also plays a key role in enabling AI-driven innovation and modern development practices. This is an opportunity to drive architectural excellence and impact millions of users through high-performance enterprise software.

  • Define and lead the architectural evolution of a multi-tenant SaaS platform, ensuring scalability, performance, security, and resilience at enterprise scale.
  • Design highly distributed, fault-tolerant backend services and establish architectural standards, patterns, and technical roadmaps.
  • Guide decisions around system decomposition, API strategy, extensibility, and large-scale data architecture.
  • Architect and optimize cloud-native infrastructure on AWS while ensuring cost efficiency, high availability, and strong security controls.
  • Oversee containerization and orchestration strategies using technologies such as Docker and Kubernetes.
  • Promote engineering best practices including CI/CD pipelines, observability, reliability engineering, and infrastructure-as-code.
  • Integrate and advance AI-assisted development practices and evaluate emerging AI/ML frameworks for platform innovation.
  • Lead architectural reviews, mentor senior engineers, and provide guidance on complex technical challenges across teams.
  • Collaborate cross-functionally with product, engineering, data, QA, and DevOps to ensure alignment between architecture and product goals.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (or equivalent professional experience).
  • 10+ years of experience designing and architecting enterprise-scale, multi-tenant SaaS platforms.
  • Strong expertise in Java, Spring Boot, Hibernate, MySQL, and RESTful API design.
  • Extensive experience with cloud-native systems on AWS, including compute, storage, networking, and managed services.
  • Deep knowledge of distributed systems architecture, event-driven design, and large-scale data modeling.
  • Proven experience designing systems for high availability, fault tolerance, and performance under high concurrency workloads.
  • Hands-on experience with containerization and orchestration technologies such as Docker and Kubernetes.
  • Strong DevOps knowledge including CI/CD pipelines, observability tools, Git-based workflows, and infrastructure-as-code practices.
  • Experience using generative AI coding tools such as GitHub Copilot, Cursor, or similar within professional development workflows.
  • Excellent technical leadership, communication, and cross-functional collaboration skills.
  • Preferred: experience with real-time messaging systems (Kafka, SQS), Elasticsearch, enterprise observability platforms, or AI/LLM integrations such as RAG pipelines or agentic workflows.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (or equivalent professional experience).
  • 10+ years of experience designing and architecting enterprise-scale, multi-tenant SaaS platforms.
  • Strong expertise in Java, Spring Boot, Hibernate, MySQL, and RESTful API design.
  • Extensive experience with cloud-native systems on AWS, including compute, storage, networking, and managed services.
  • Deep knowledge of distributed systems architecture, event-driven design, and large-scale data modeling.
  • Proven experience designing systems for high availability, fault tolerance, and performance under high concurrency workloads.
  • Hands-on experience with containerization and orchestration technologies such as Docker and Kubernetes.
  • Strong DevOps knowledge including CI/CD pipelines, observability tools, Git-based workflows, and infrastructure-as-code practices.
  • Experience using generative AI coding tools such as GitHub Copilot, Cursor, or similar within professional development workflows.
  • Excellent technical leadership, communication, and cross-functional collaboration skills.
  • Preferred: experience with real-time messaging systems (Kafka, SQS), Elasticsearch, enterprise observability platforms, or AI/LLM integrations such as RAG pipelines or agentic workflows.

Benefits

  • Competitive base salary ranging from $250,000 to $350,000 plus stock equity.
  • Comprehensive medical, dental, and vision plans with $0 monthly premium options available.
  • 401(k) retirement plan.
  • Flexible and fully remote work environment.
  • Discretionary paid time off and company holidays.
  • Paid parental leave.
  • Monthly wellness reimbursement.
  • Monthly meal or lunch stipend.
  • Opportunity to work on cutting-edge AI-driven SaaS technology with global impact.

Job Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (or equivalent professional experience).
  • 10+ years of experience designing and architecting enterprise-scale, multi-tenant SaaS platforms.
  • Strong expertise in Java, Spring Boot, Hibernate, MySQL, and RESTful API design.
  • Extensive experience with cloud-native systems on AWS, including compute, storage, networking, and managed services.
  • Deep knowledge of distributed systems architecture, event-driven design, and large-scale data modeling.
  • Proven experience designing systems for high availability, fault tolerance, and performance under high concurrency workloads.
  • Hands-on experience with containerization and orchestration technologies such as Docker and Kubernetes.
  • Strong DevOps knowledge including CI/CD pipelines, observability tools, Git-based workflows, and infrastructure-as-code practices.
  • Experience using generative AI coding tools such as GitHub Copilot, Cursor, or similar within professional development workflows.
  • Excellent technical leadership, communication, and cross-functional collaboration skills.
  • Preferred: experience with real-time messaging systems (Kafka, SQS), Elasticsearch, enterprise observability platforms, or AI/LLM integrations such as RAG pipelines or agentic workflows.

Benefits

  • Competitive base salary ranging from $250,000 to $350,000 plus stock equity.
  • Comprehensive medical, dental, and vision plans with $0 monthly premium options available.
  • 401(k) retirement plan.
  • Flexible and fully remote work environment.
  • Discretionary paid time off and company holidays.
  • Paid parental leave.
  • Monthly wellness reimbursement.
  • Monthly meal or lunch stipend.
  • Opportunity to work on cutting-edge AI-driven SaaS technology with global impact.

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