The Senior Software Engineer will design and deliver enterprise applications, mentor junior engineers, and integrate AI capabilities into Java systems, focusing on scalable solutions.
ImagineX is a tech company that deploys AI-assisted teams to build and secure mission-critical enterprise solutions with our clients – spanning software, data, and AI. Structured like a software company, not a traditional consultancy, we blend deep technical expertise with authentic values, achieving world-class satisfaction (NPS 91). Our dedicated teams specialize in software, data, and AI across the U.S. and LATAM, bridging the gap between boutique agility and enterprise scale.
As a Software Engineer II specializing in Java full‑stack development with a strong focus on AI‑enabled engineering, you will design and deliver complex enterprise applications while shaping how AI accelerates our development lifecycle. With 7+ years of hands‑on experience, you’ll contribute to architecture, mentor junior engineers, and integrate AI‑powered capabilities into modern Java systems. This role is ideal for an engineer who thrives in full‑stack environments, understands scalable distributed systems, and is excited to apply AI to improve both product functionality and engineering velocity.
Responsibilities- Design, develop, and maintain backend services using Java, Spring Boot, and modern architectural patterns
- Build intuitive, performant front‑end experiences using React, Angular, or Vue
- Lead technical design discussions and contribute to architectural decisions
- Integrate AI/ML capabilities into applications (e.g., embeddings, LLM‑powered features, intelligent automation)
- Use AI‑assisted development tools to accelerate coding, testing, documentation, and refactoring
- Mentor junior engineers and promote engineering best practices across the team
- Collaborate closely with product, data, and AI teams to deliver end‑to‑end solutions
- Contribute to CI/CD pipelines, cloud deployments, observability, and performance optimization
- Ensure security, scalability, and maintainability across the full stack
- 7+ years of professional software engineering experience
- Advanced proficiency in Java, Spring Boot, and microservices architectures
- Strong experience with front‑end frameworks such as React, Angular, or Vue
- Experience integrating AI/ML services or building AI‑enhanced features (LLMs, vector search, model inference, etc.)
- Familiarity with cloud platforms (AWS, Azure, or GCP) and container orchestration (Docker, Kubernetes)
- Strong understanding of distributed systems, API design, and modern DevOps practices
- Experience with relational and NoSQL databases
- Ability to lead technical initiatives and mentor less‑experienced engineers
- Excellent communication skills and the ability to collaborate with cross‑functional teams
Similar Jobs
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Develop and maintain scalable control-plane software for DigitalOcean’s network products. Responsibilities include building APIs and microservices, implementing and optimizing services, troubleshooting customer issues, supporting existing products, improving development processes, and contributing to architecture and engineering best practices. The role involves end-to-end SDLC ownership, CI/CD deployment, distributed systems, containerized workloads, and collaboration across networking teams.
Top Skills:
ChefCi/CdConsulDnsDockerGitGoGrafanaGrpcJIRAKafkaKubernetesLightstepPrometheusSQL
Healthtech • Information Technology • Software • Telehealth
Build and operate data platform services, APIs, SDKs, schemas, validation tools, event-driven pipelines, and reverse ETL workflows. Improve Kafka-based data delivery, schema evolution, observability, lineage, access controls, privacy, and compliance. Partner with engineering, analytics, data science, security, and infrastructure teams to create reliable, self-service data workflows. Operate AWS services, infrastructure as code, monitoring, alerting, and incident response.
Top Skills:
Apache IcebergAPIsAutomated TestingAvroAWSC#Continuous DeliveryData WarehousingDatabricksInfrastructure As CodeJavaJson SchemaKafkaKotlinLakehouseObservabilityOpenapiProtobufPythonReverse EtlSdksSnowflakeSQLTypescript
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Build and scale mission-critical tips, earnings, and payroll platforms for restaurant employees. Own systems end to end, lead complex projects from design through deployment, improve reliability and correctness, collaborate with product and design, review code, mentor engineers, and deliver scalable backend services that affect employee pay and product revenue.
Top Skills:
Alternative Data StoresClaudeDistributed SystemsEnterprise Messaging SystemsGraphQLJavaKotlinMicroservicesReactRestTraditional DatabasesTypescript
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
