Job Summary
We are seeking an experienced, hands-on Staff Engineer to design and develop highly scalable, performant full-stack applications. The ideal candidate is deeply skilled in Java backend technologies, Spring Boot, ReactJS and Micro-frontend architectures.
In this role, you will act as a core technical contributor, leveraging your expertise in Kafka and Kubernetes to build robust microservices and event-driven systems.
Responsibilities
- Full Stack Development: Execute complex development efforts across the stack, bridging the gap between backend logic using Java, Spring Boot and Spring Cloud and modern frontend interfaces using ReactJS
- Event-Driven: Implement robust messaging patterns using Kafka to ensure high availability and data consistency
- Micro-Frontend Strategy: Build modular user interfaces using Micro-frontend (MFE) patterns to ensure maintainability and independent deployability
- Code Quality & Design: Apply and implement software engineering best practices (SOLID principles, design patterns, clean code, TDD) within the codebase
- Cloud Native Engineering: Manage containerization and orchestration strategies using Docker and Kubernetes within a CI/CD environment
- Data Layer Design: Work across various data storage engines, designing efficient models for RDBMS (Oracle, Postgres) and NoSQL (Redis, ElasticSearch)
- System Optimization: Analyze and optimize system performance, reliability and scalability for high-throughput applications
- Communication Skills: Ability to articulate technical challenges and solutions clearly in both written and verbal formats
- Interpersonal Skills: Proven ability to work collaboratively within a team and build rapport with cross-functional partners (Product, UX, QA)
Qualifications
- Experience: Bachelor's or master's degree in computer science/engineering with 5+ years of software engineering experience
- Java Ecosystem: Deep expertise in the enterprise Java stack: Java/JEE, Spring Boot, Spring Cloud, Reactive Spring, JPA/Spring Data and Hibernate
- Frontend Mastery: Strong proficiency in ReactJS with hands-on experience in Micro-frontend (MFE) architecture
- Event Streaming: Advanced skills in event-driven architecture; Kafka experience (producer/consumer patterns, event schema design) is a must
- DevOps & Infrastructure: Strong hands-on experience with Kubernetes (K8s), Docker and CI/CD pipelines (GitHub Actions)
- API Design: Proven expertise in designing and securing RESTful APIs (Swagger/OpenAPI)
- Database Skills: Strong proficiency in SQL (Relational) and familiarity with NoSQL data stores (Redis, Elasticsearch)
- Core Fundamentals: Strong grasp of Data Structures, Concurrency, Algorithms and Object-Oriented Design patterns
- Tooling: Proficient with Git, Maven/Gradle, Grafana and Kibana
Nice to Have
- Workflow Orchestration: Experience with workflow engines such as Temporal, Camunda, or custom business process automation tools
- Networking Protocols: Familiarity with network device protocols (gNMI, SNMP) or network automation
- AI/ML Integration: Experience or interest in AI development areas: NLP, predictive analytics, or LLM integration
- Polyglot Programming: Experience with Python or Golang
- Graph Databases: Familiarity with GraphDB technologies
- Public Cloud: Experience with cloud platforms (AWS, Azure, or GCP)
Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing [this form](
Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.
We use artificial intelligence in our hiring process. Learn more [ here ]( .
This posting is a new position within our organization. **