The Java Architect will design AI-augmented SDLC pipelines, manage multi-agent systems, integrate AI with quality tools, and develop automated testing processes.
JD 1. Agentic SDLC Design — Architect and implement end-to-end AI-augmented SDLC pipelines using autonomous agents and sub-agents that handle tasks spanning requirements analysis, code generation, review, testing, and deployment. 2. GitHub Copilot Agent Engineering — Design, configure, and extend GitHub Copilot agents, custom skills, and agent instructions to automate repetitive engineering tasks, enforce coding standards, and accelerate developer productivity across teams. 3. Multi-Agent Orchestration — Build and manage multi-agent systems with clearly defined agent roles, skills, and handoff protocols — including planner agents, coder agents, reviewer agents, and test agents — ensuring reliable and deterministic outcomes. 4. AI-Driven Code Quality & Governance — Integrate AI agents with static analysis, linting, and security scanning tools (e.g., SonarQube, CodeRabbit) to enforce quality gates, detect vulnerabilities, and provide real-time feedback within CI/CD pipelines. 5. Automated Testing with AI Agents — Leverage AI agents to auto-generate unit tests, integration tests, BDD scenarios (Gherkin/Cucumber), and test data — continuously improving test coverage with minimal manual effort. 6. Prompt Engineering & Skill Development — Design reusable, parameterised prompts and agent skills
Similar Jobs
Information Technology
Leads the full lifecycle architecture and development of complex Java and JavaScript software products. Designs scalable full-stack applications, APIs, integrations, data solutions, and browser applications while establishing technical standards, patterns, security practices, and documentation. Collaborates with customers, technical leads, Scrum Masters, and cross-functional teams in an Agile environment. Provides technical leadership, drives architectural roadmaps, supports application modernization, and ensures adherence to non-functional, accessibility, and quality requirements.
Top Skills:
AgileAngularAppianAtlassian JiraBashCasConfluenceCrowdEclipseExtjsGitGradleIntellij IdeaJavaJavaScriptJboss BpmLinuxMaterial UiMavenOauthOracleOsgiPostgresPostmanRestRhelScrumSection 508SoapSoapuiSpringSpring BootSQLSshWcag 2.0
Artificial Intelligence • Information Technology • Software
Lead diagnosis and optimization of enterprise Java performance across application, JVM, middleware, database, OS, and infrastructure. Use profiling, heap/thread dumps, APM and observability tools to identify root causes, design scalable architectures, recommend remediation, and guide implementations while leading client-facing discovery and technical workshops.
Top Skills:
APIsAppdynamicsCloud PlatformsDatadogDb2DockerDynatraceGatlingJavaJava Flight RecorderJava Mission ControlJbossJmeterJvmKubernetesLoadrunnerMicroservicesNew RelicOpen LibertyOraclePostgresSplunkSpringSpring BootSQL ServerTomcatVisualvmWeblogicWebsphereWildfly
Artificial Intelligence • Big Data • Machine Learning
Lead per-SYSID assessments and design L2 sequence and data-flow diagrams. Define Kafka topic topology and microservice boundaries, plan Oracle AQ to Confluent Kafka migrations, assess Spring Boot migration paths, design AWS Step Functions for batch orchestration, and produce current vs. future-state architectures.
Top Skills:
Amazon EksApache KafkaAws Step FunctionsConfluent PlatformCqrsEvent SourcingIbm MqIrsaJavaKarpenterKubernetesOpenshiftOracleOracle AqPostgresSagaSpring Boot
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
