Job Responsibilities
- Collaborate with the CTO and engineering teams to define a clear technology vision and roadmap for our platform.
- Architect and implement a robust data-first application platform implemented primarily in Java/JEE and Python.
- Design and optimize microservices and REST APIs to facilitate seamless data interaction across the platform.
- Develop strategies for both SQL and non-SQL databases, ensuring data integrity, retrieval speed, and scalability.
- Integrate message queues and document storage solutions to enhance data flow and accessibility.
- Contribute to the secure platform architecture for AI/ML vector-based data extraction, indexing pipelines, and semantic search.
- Evaluate and incorporate external vendor services, iPaaS connectors, and AWS PaaS services to support the platform.
- Create both strategic greenfield architectures and tactical remediation plans to manage and reduce technical debt.
- Establish best practices for high availability, reliability, security, and serviceability within the platform architecture.
- Inform and guide teams about the cost of operations of different architecture options for existing and new feature sets by defining and implementing methods and models for cost measurement, estimation, and optimization.
- Other duties as assigned
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
- 12+ years of experience in software development and systems architecture in a cloud-based environment, with expertise grounded in database and data centric applications implemented in Java/JEE.
- Demonstrated experience architecting and building secure and scalable microservices with REST APIs and modern authentication standards (e.g., Oauth, OpenID, JWT).
- Strong understanding of SQL and non-SQL database technologies, with practical experience in data modeling and optimization of transactional and batch-oriented workloads.
- Strong understanding of serverless computing (e.g., Lambda), containers (e.g., Docker), container orchestration (e.g., Kubernetes), and when to use them.
- Solid understanding of web application platform infrastructure components and topologies, including data caching (e.g., Redis, Valkey), reverse proxy (e.g., Nginx), load balancers, SSL certificates, and web application firewalls.
- Experience architecting SaaS services for high availability, high reliability, high performance, scalability, and disaster recovery.
- In-depth knowledge of cloud architecture, particularly AWS PaaS service offerings.
- Proven experience with message queues and document storage systems to support scalable applications.
- Familiarity with AI/ML frameworks and the ability to design effective data pipelines.
- Excellent communication skills, capable of conveying complex concepts to diverse stakeholders.
- Proven ability to lead cross-functional teams and foster a culture of innovation and continuous improvement.
Preferred Qualifications
- Relevant certifications in cloud technologies (e.g., AWS Certified Solutions Architect or similar).
- Experience with front-end frameworks for developing SPA web user interfaces (e.g., React, Angular).
- Understanding of DevOps practices and experience in implementing CI/CD pipelines for efficiency.
- Knowledge of data security and compliance standards, including best practices for data encryption and data privacy.
- Experience delivering enterprise-grade software solutions within an agile SDLC environment.
- A passion for mentoring and developing talent within engineering teams.
- Familiarity with agile methodologies and experience in leading iterative development cycles.
- Awareness of emerging technologies and trends in SaaS, particularly regarding data management and application architecture.
- If you are a forward-thinking software platform architect ready to shape the future of our data-first application platform, we encourage you to apply and become a key contributor to our success!
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