Resilinc

Pune
344 Total Employees
Year Founded: 2010

Jobs at Resilinc

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Recently posted jobs

9 Days AgoSaved
Remote
India
Information Technology • Software
Design and develop scalable end-to-end features across Java, Python, Angular, and Azure. Lead technical decisions, code reviews, engineering best practices, deployment strategies, CI/CD improvements, and observability initiatives. Collaborate with product, data science, and design teams to create AI-powered user experiences while contributing technical insight to product planning.
9 Days AgoSaved
Remote
India
Information Technology • Software
Design and develop scalable full-stack features using Java, Spring Boot, Python, FastAPI, Angular, and Azure. Lead technical decisions, backend architecture, API design, code reviews, engineering standards, deployment strategies, CI/CD improvements, cloud deployments, and observability. Collaborate with product, data science, and design teams to build AI-powered user experiences, contribute technical insights to roadmap planning, and balance hands-on coding with technical leadership.
Information Technology • Software
Creates and scales AI-enabled digital learning content for customers, partners, and internal teams. Produces product videos, tutorials, interactive modules, onboarding journeys, certifications, assessments, and enablement assets. Uses AI and multimedia tools for scripting, editing, translation, voiceover, graphics, and content repurposing. Partners with subject matter experts to simplify technical concepts, manages Academy publishing and content quality, and uses engagement analytics to improve learning experiences and self-service adoption.
One Month AgoSaved
Remote
India
Information Technology • Software
Design, build, and operate scalable batch and real-time data pipelines and analytics platforms. Partner with enterprise customers to define requirements, own technical delivery from discovery to adoption, and present architectures to stakeholders. Drive data governance, observability, CI/CD, and platform optimization while mentoring junior engineers and collaborating with Product, Engineering, and Customer Success teams to enable analytics and AI/ML applications.