Java Technical Architect

What success looks like in this role: We are looking for an experienced Architect to define and drive the technical vision for our platforms. You will own the end-to-end architecture of enterprise-grade applications spanning Java and PHP services, web service integrations, PostgreSQL data platforms, cloud infrastructure, and AI-enabled capabilities. You will guide engineering teams, set standards, and ensure solutions are scalable, secure, resilient, and aligned with business goals. Architecture & Design Define and own the enterprise and solution architecture across backend, data, integration, and cloud layers Design scalable, high-availability systems using microservices, event-driven, and API-first approaches Create architecture blueprints, HLD/LLD documents, and technical roadmaps Evaluate and select technologies, frameworks, and tools, with clear trade-off analysis Lead modernization of legacy PHP and Java monoliths into modular or cloud-native architectures Web Services & Integration Define API strategy and standards for REST, SOAP, GraphQL, and event-based integrations Design secure integration patterns with third-party and internal systems (API gateways, ESBs, message brokers) Ensure API governance, versioning, documentation, and lifecycle management Data Architecture Architect data models and database strategy using PostgreSQL and SQL Guide on indexing, partitioning, replication, high availability, backup/DR, and performance tuning Define data migration, retention, and governance approaches Cloud & Infrastructure Design and govern cloud architecture on AWS / Azure / GCP Drive adoption of containers, Kubernetes, serverless, and Infrastructure as Code Own non-functional requirements: scalability, performance, availability, cost optimization, and observability Establish DevOps and CI/CD best practices AI & Innovation Define the strategy for embedding AI/ML and Generative AI into products and platforms Architect solutions involving LLM integration, RAG pipelines, vector databases, embeddings, and AI agents Establish AI governance covering data privacy, model security, cost control, and responsible AI use Evaluate build vs. buy decisions for AI capabilities Security & Compliance Embed security by design (OAuth2, OIDC, JWT, encryption, OWASP, secrets management) Ensure compliance with relevant standards such as ISO 27001, SOC 2, GDPR, or HIPAA, as applicable Leadership & Collaboration Provide technical leadership and mentorship to senior engineers and tech leads Conduct architecture and design reviews, and enforce engineering standards Partner with product, business stakeholders, and executive leadership to translate business needs into technical solutions Support pre-sales, estimations, and client presentations where applicable Lead proof-of-concepts and technical risk assessments #LI-SS1 You will be successful in this role if you have: Required Qualifications 15+ years of software engineering experience, with 5+ years in an architect role Deep expertise in Java (Spring Boot, JPA/Hibernate, JVM tuning) and strong working knowledge of PHP (Laravel / Symfony) Extensive experience designing web services (REST, SOAP, JSON/XML, API gateways) Advanced knowledge of PostgreSQL and SQL, including performance engineering and HA/DR design Strong hands-on experience architecting solutions on at least one major cloud platform (AWS, Azure, or GCP) Practical experience designing AI/ML or GenAI-enabled solutions (LLM APIs, RAG, vector stores, LangChain or similar) Proven experience with microservices, event-driven architecture, domain-driven design, and design patterns Strong grasp of containerization and orchestration (Docker, Kubernetes) Experience with architecture frameworks and documentation (TOGAF, C4 model, UML, ADRs) Excellent communication, stakeholder management, and presentation skills Preferred Qualifications Experience with Kafka, RabbitMQ, or cloud-native messaging services Caching and search technologies (Redis, Elasticsearch/OpenSearch) Infrastructure as Code (Terraform, CloudFormation, Pulumi) Observability stack (Prometheus, Grafana, ELK, OpenTelemetry) Experience with MLOps or AI platform services (SageMaker, Azure OpenAI, Vertex AI, Amazon Bedrock) Cloud architect certifications (AWS Solutions Architect Professional, Azure Solutions Architect Expert, GCP Professional Cloud Architect) TOGAF or similar architecture certification Experience in a specific domain (e.g., Educational Technology, SaaS) Key Competencies Strategic and systems thinking Strong decision-making under ambiguity Ability to balance technical excellence with business pragmatism Influence without authority across teams Coaching and building engineering culture Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, blood type, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law. 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