The Jira Service Management Engineer will collaborate with Sales and Marketing stakeholders to design, configure, and maintain JSM solutions that support business processes. This includes managing workflows, SLAs, automation, and providing ongoing technical support for the JSM environment.
Design, build, and maintain scalable Atlassian solutions to support enterprise workflows across HR and Finance functions. Lead the integration of APIs and provide expert guidance on platform strategy and governance frameworks.
Design, develop, and maintain scalable full-stack web applications while integrating AI/ML models. Manage CI/CD pipelines using GitHub Actions and ensure optimal performance across backend and frontend services.
Design and implement scalable microfrontend architectures while leading development efforts focused on performance, accessibility, and SEO. Collaborate with cross-functional teams to enforce coding standards, conduct code reviews, and mentor developers on modern cloud deployment patterns.
The Principal Software Engineer will provide high-level technical leadership to design robust, scalable distributed systems and cloud-native platforms. They will also integrate AI-native engineering practices to accelerate development lifecycles while ensuring operational excellence and system reliability.
The Senior Technical Business Analyst will drive requirements engineering for enterprise applications by analyzing systems and translating business needs into structured technical specifications. They will serve as a liaison between business stakeholders and technical teams to ensure solutions are clearly defined, testable, and ready for implementation.
The Senior Agentic AI Engineer will design, develop, and deploy enterprise-grade AI agents and multi-agent workflows using Python and agentic frameworks. They are responsible for building scalable RAG solutions, implementing AI observability, and ensuring governed, reliable AI performance across enterprise systems.
Design, develop, and optimize Generative AI and machine learning solutions, including RAG pipelines and AI agents. Collaborate with engineering teams to deploy, monitor, and evaluate models for enterprise-scale applications.
The Lead Jira Admin will design, build, and maintain enterprise-grade Atlassian solutions while translating business requirements into technical configurations. They will also manage integrations with enterprise platforms and drive process automation to improve organizational efficiency.
Develop and operate Java Spring Boot microservices deployed on Kubernetes. Focus on diagnosing production performance issues, managing CI/CD pipelines, and remediating security vulnerabilities.
Provide L2/L3 application support for SAP SuccessFactors Recruiting and Onboarding modules, focusing on ticket resolution and change requests. Maintain documentation and support future migration initiatives involving SAP SuccessFactors Smart Recruiting.
Develop user-facing features and reusable UI components using React.js and atomic design principles. Integrate applications with CMS platforms and ensure responsive, cross-browser compatible interfaces.
Develop and maintain high-performance web applications using Next.js and React.js. Focus on building responsive UI components and optimizing applications for speed, SEO, and scalability.
Develop and maintain scalable web applications using Vue 3 and Nuxt.js while translating UI/UX designs into responsive interfaces. Collaborate with backend teams to integrate APIs and optimize applications for speed, performance, and SEO.
You will design, develop, and deploy robust web applications while collaborating with cross-functional teams to translate business requirements into technical solutions. Additionally, you will maintain RESTful APIs, mentor junior team members, and ensure high-quality code through reviews and troubleshooting.
You will design, build, and maintain AI platforms and ML pipelines while collaborating with data scientists and business stakeholders. The role involves prototyping agentic workflows, integrating LLMs into products, and automating systems via APIs and microservices.
