Solutions Architect

Overview Design and evolve complex, distributed software systems, ensuring they are scalable, secure, and aligned with the company’s strategic goals. The base salary range for this position is $115,690-$181,798. Actual pay will be determined based upon a candidate’s job-related knowledge, skills, education, experience, geographic location, and may include other job-related factors such as certification(s), professional licensure, or internal equity considerations. Responsibilities Partner with engineering and product teams to define scalable, maintainable microservices architecture using domain-driven design and distributed systems principles. Design and implement event-driven architectures with Apache Kafka (or similar), including asynchronous messaging, event sourcing, sagas, schema management, and service integration. Define architecture for mobile and backend integration, including data modeling, offline synchronization, conflict resolution, BFF patterns, and API design. Standardize containerization with Docker across development, staging, and production environments. Deploy and manage applications on Kubernetes to ensure scalability, resilience, and high availability. Design and deploy cloud-native solutions on AWS using services such as EKS, EC2, S3, RDS/Aurora, Lambda, and API Gateway. Implement Infrastructure as Code using Terraform or AWS CDK/CloudFormation to automate provisioning and support GitOps. Establish best practices for security, resilience, observability, and operational excellence acrossmicroservices and event-driven systems. Ensure architectures meet security, compliance, and HIPAA requirements through encryption, access controls, audit logging, and secure configurations. Prototype and validate architectural solutions through spikes and proof of concepts to reduce risk and align with business goals. Lead architecture reviews, threat modeling, and code reviews to ensure architectural standards, performance, and security. Create and maintain architectural documentation, including ADRs, C4 diagrams, data flow diagrams, runbooks, and technical guidance. Collaborate closely with other internal stakeholders to ensure alignment on technical strategies, roadmaps, and objectives. Contribute to technology evaluations, tool selection, and the ongoing evolution of the platform toward well-structured, domain-drive, and event-driven microservices. Support onboarding and enablement of engineering teams on architectural patters, tools, and standards adopted by the platform. Qualifications Bachelor's Degree or above in Computer Science or related field coupled with 8+ years of experience in software engineering with at least 4+ years in a Solution Architect, Principal Engineer, or equivalent technical leadership role designing and delivering complex, distributed production systems. Previous experience in highly regulated industries with strict requirements around data privacy preferred. Expertise with Java, Spring Boot, and reactive programming in large-scaled production environments. Experience designing, building, and operating GraphQL APIs, including schema design, authorization, performance optimization, pagination, caching strategies, and resolver/federation patterns. Experience with event-driven architecture and Apache Kafka in production: topics, partitions, consumer groups, exactly-once processing, schema registry/Avro/Protobuf, dead-letter queues, and integration/messaging patterns. Experience with relational databases (PostgreSQL strongly preferred), NoSQL, caching strategies (Redis), and thoughtful data modeling for distributed, eventually consistent systems. Ability to design offline-first or hybrid online/offline mobile architectures, including robust synchronization strategies, conflict resolution, and Backend-for-Frontend patterns. Knowledge of security architecture in distributed systems and resilience/observability patterns. Experience with containerization, container orchestration, and modern cloud-native deployment practices on AWS. Experience with Infrastructure as Code and familiarity with GitOps workflows. Experience rapidly prototyping architectural options and making pragmatic, data-driven technology decisions. Excellent verbal and written communication skills with both technical and non-technical stakeholders.