Full Stack Java Technical Lead - React.js

# Full Stack Java Technical Lead - React.jsYochanaBe an Early ApplicantFull TimemidHybridCAPosted Today## Resume Keywords to IncludeMake sure these keywords appear in your resume to improve ATS scoringJavaReactSpringAWSAzureKubernetesKafkaSparkCI/CDDevOpsMicroservicesSign up free to auto-tailor your resume with all these keywords and get a higher ATS score## Job DescriptionRole: Full Stack Java Technical Lead - React.js –Hybrid Mississauga or Toronto ONFull timeSection Title: Job Summary### Job SummaryDeep expertise in Java (8+), Spring Boot, Microservices & Enterprise ArchitectureStrong experience in designing & integrating AI/ML and GenAI solutions into enterprise platformsSolid foundation in cloud-native architectures (AWS/Azure), Kubernetes, CI/CDExposure to Big Data ecosystems (Kafka, Spark, Hadoop, Data Lakes, Streaming architectures)Ability to design end-to-end scalable data + AI platformsProven leadership in mentoring teams and influencing architectural decisionsExperience in BFSI / large enterprise ecosystems is a strong plusWhat you’ll do:Lead AI/ML and GenAI initiatives (NLP, intelligent automation, copilots, RAG-based systems)Design data-driven architectures leveraging Big Data pipelines & real-time processingDefine reference architectures and governance standards across programsCollaborate with product, data science, and business stakeholders on high-impact initiativesLONGDESCRIPTION section. 2 of 6.Section Title: Key ResponsibilitiesKey ResponsibilitiesDeep expertise in Java (8+), Spring Boot, Microservices & Enterprise ArchitectureStrong experience in designing & integrating AI/ML and GenAI solutions into enterprise platformsSolid foundation in cloud-native architectures (AWS/Azure), Kubernetes, CI/CDExposure to Big Data ecosystems (Kafka, Spark, Hadoop, Data Lakes, Streaming architectures)Ability to design end-to-end scalable data + AI platformsProven leadership in mentoring teams and influencing architectural decisionsExperience in BFSI / large enterprise ecosystems is a strong plusWhat you’ll do:Lead AI/ML and GenAI initiatives (NLP, intelligent automation, copilots, RAG-based systems)Design data-driven architectures leveraging Big Data pipelines & real-time processingDefine reference architectures and governance standards across programsCollaborate with product, data science, and business stakeholders on high-impact initiativesLONGDESCRIPTION section. 3 of 6.Section Title: Skill RequirementsSkill RequirementsDeep expertise in Java (8+), Spring Boot, Microservices & Enterprise ArchitectureStrong experience in designing & integrating AI/ML and GenAI solutions into enterprise platformsSolid foundation in cloud-native architectures (AWS/Azure), Kubernetes, CI/CDExposure to Big Data ecosystems (Kafka, Spark, Hadoop, Data Lakes, Streaming architectures)Ability to design end-to-end scalable data + AI platformsProven leadership in mentoring teams and influencing architectural decisionsExperience in BFSI / large enterprise ecosystems is a strong plusSKILL section. 4 of 6.Section Title: Must Have SkillsMust Have Skills* Click Enter to show the proficiency description of React.jsReact.js* Click Enter to show the proficiency description of Java Full StackJava Full Stack* Click Enter to show the proficiency description of DevopsDevopsSKILL section. 5 of 6.Section Title: Good to have SkillsGood to have SkillsLONGDESCRIPTION section. 6 of 6.Section Title: Other RequirementsOther Requirements1.Relevant certifications in DevOps, React.js, or full stack development are
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