Senior Software Architect

CyberSolve is a fastest growing IAM Specialist firm in the US with poised to become the world's largest company in the IAM space. CyberSolve’s 250+ specialists solve interesting puzzles in Non-Employee IAM, Rapid App onboarding, access certifications, etc. for some of the largest retailers, banks, pharma giants, governments and airlines. We are expanding rapidly and searching for Senior Software Architect. On offer is a role with one of the most powerful IAM teams in the industry, solid projects, competitive salary, ability to expand into other areas of IAM etc. We invite you to join this team. A detailed Job description for this role is as under: Job Title: Senior Software Architect Location: Hybrid / Remote (Global) Experience Level: 12+ years (minimum 5 years as a hands-on architect) Department: Product Engineering & Platform Architecture About the Role We are seeking a hands-on Senior Software Architect to lead the end-to-end design and development of next-generation products. The ideal candidate combines deep expertise in distributed systems, microservices, data engineering, and security architecture with the ability to code, mentor, and own technical outcomes from concept to deployment. You will define architectural blueprints, lead engineering design reviews, implement core components, and ensure the platform’s scalability, resilience, and compliance in hybrid-cloud environments. Key Responsibilities 1. Architecture Ownership - Architect, design, and validate a 7-tier distributed architecture spanning ingestion, streaming, correlation, analytics, APIs, and presentation layers. - Define and maintain system-wide logical, physical, and data architectures, ensuring modularity and scalability across microservices. - Translate complex business requirements into domain-driven design models and well-defined service boundaries. 2. Technical Design & Development - Lead by example: design and develop Spring Boot microservices, data processing pipelines, and core APIs. - Define best practices for event-driven and reactive architectures using Kafka, WebFlux, and Redis. - Oversee design of the Angular-based UI, ensuring seamless integration via REST/GraphQL APIs and secure OIDC authentication. - Optimize data flow across PostgreSQL, ElasticSearch, Neo4j, and S3/Object Store. 3. Agentic AI Integration - Architect and implement Agentic AI modules that autonomously analyze data, detect risk patterns, and recommend remediation. - Collaborate with AI/ML teams to integrate LangChain4J, OpenAI API, or Vertex AI models into backend workflows. - Define autonomous orchestration loops where AI agents trigger correlation, policy tuning, or connector optimization. - Drive innovation in AI observability — ensuring transparency, explainability, and compliance of AI-driven actions. 4. Vibe Coding & AI-Augmented Engineering - Leverage vibe coding skills — advanced proficiency in collaborating with AI coding assistants (e.g., GPT-5, Copilot, CodeWhisperer) for rapid prototyping and code generation. - Establish patterns and best practices for AI pair programming, agentic code scaffolding, and autonomous test generation. - Mentor teams on how to effectively integrate AI tools into development, CI/CD, and data pipelines to accelerate delivery. - Lead by example through hands-on, AI-assisted coding sessions to drive productivity and innovation. 5. Data Engineering & AI Integration - Design robust data ingestion and correlation pipelines using Kafka, Spark, and Flink. - Integrate ML models (e.g., anomaly detection, risk scoring) into real-time workflows using Python-based services. - Collaborate with data scientists to operationalize ML models for access risk prediction and anomaly detection. - Govern schema evolution and data lineage through Kafka Schema Registry and version-controlled ETL processes. 6. Security, Compliance & Governance - Enforce Zero Trust principles across all tiers: mutual TLS, JWT authentication, and least-privilege service accounts. - Integrate with Vault, Keycloak, and OPA for secrets management, identity federation, and policy enforcement. - Define architecture for immutable audit logging and compliance zones (SOX, HITRUST, NIST). 7. Integration Leadership - Architect and oversee integrations with variety of cloud and on-premises solutions. - Standardize connector SDKs, webhooks, and SCIM/Syslog ingestion patterns. - Define API governance, versioning, and documentation standards (OpenAPI/Swagger, GraphQL schemas). 8. DevOps, Observability & Performance - Define CI/CD pipelines using GitLab/Jenkins/ArgoCD for continuous integration and deployment. - Establish observability with Prometheus, Grafana, and OpenTelemetry; define SLOs and performance KPIs. - Design for resilience: implement horizontal scaling, async retry mechanisms, caching, and partitioning strategies. 9. Leadership & Mentorship - Mentor a cross-functional team of backend, frontend, and data engineers. - Conduct design and code reviews, ensuring architectural consistency and technical excellence. - Partner with product management and stakeholders to align technical roadmaps with business vision. Required Technical Skills Core Architecture & Development - Strong command of Java 17+, Spring Boot 3.x, Spring Cloud, Spring WebFlux - Proficiency in Angular 16+/TypeScript, NgRx, RxJS - Experience with Kafka, Redis, PostgreSQL, Elasticsearch, Neo4j, S3/Azure Blob - Deep understanding of microservices, event-driven, and domain-driven architectures - AI & Agentic Systems - Hands-on experience integrating LLMs (OpenAI / Vertex / LangChain4J) into production-grade systems. - Knowledge of autonomous agent frameworks, AI toolchains, and vector databases. - Proven proficiency in vibe coding — leveraging AI pair programmers for design, code, and documentation. Data & Analytics - Proficient with Apache Kafka Streams / Flink / Spark for ETL and stream processing - Familiarity with ML model integration (Python, REST, or LangChain4J) - Knowledge of graph analytics and identity correlation models Security & Compliance - Expertise in OAuth2, OIDC, SAML, and Keycloak - Hands-on with Vault, OPA, TLS/mTLS, RBAC, audit logging - Knowledge of Zero Trust, IAM/PAM/IGA ecosystems, and regulatory frameworks Cloud & DevOps - Experience deploying to AWS EKS / Azure AKS, with Kubernetes, Docker, and Helm - CI/CD automation via Jenkins, GitLab CI, or ArgoCD - Observability stack: Prometheus, Grafana, ELK, OpenTelemetry Preferred Experience - 12+ years in software engineering, including 5+ as a principal or lead architect. - Experience designing AI-augmented enterprise SaaS platforms or security analytics ecosystems. - Background in data engineering, agentic AI systems, and hybrid-cloud architecture. - Strong communication, mentorship, and cross-functional collaboration skills.