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Talkdesk is seeking a Software Engineer II to join our Bengaluru Engineering team and help redefine the customer experience through innovative cloud contact center solutions. In this hands-on role, you will design, build, and operate highly reliable, feature-rich SaaS services hosted on AWS, with a strong focus on leveraging AI tools, agent-based systems, and copilots to drive productivity and innovation. You will have end-to-end ownership of microservices, working in a modern agile environment with automated testing and continuous deployment practices.
You will collaborate closely with cross-functional teams including Product, Principal Engineers, SRE, and Platform teams to design and implement scalable, secure, and reliable enterprise-grade contact center applications. Your responsibilities will include implementing microservices with Security, Reliability, and Telemetry as first principles, managing technical debt, participating in on-call rotations, and continuously adopting emerging AI tools and engineering practices to improve team productivity. This role requires a growth mindset and commitment to writing clean, maintainable code while embracing AI-assisted development workflows.
With 2–5 years of experience building highly available SaaS applications and strong expertise in backend distributed systems, AWS, and modern development practices, you will be empowered to drive meaningful impact at a global leader in Customer Experience Automation. Talkdesk offers the stability of a mature company ($10B+ valuation, #8 on Forbes Cloud 100) combined with the agility of a disruptor, fostering an inclusive culture where diverse perspectives drive success.
Responsibilities
- Design, implement, test, and maintain SaaS services and features hosted on AWS, ensuring timely delivery, high quality, and five 9's reliability standards, leveraging AI tools and copilots daily
- Maintain a growth mindset by continuously adopting emerging technologies and proactively automating repetitive processes
- Work in a modern agile software engineering environment, actively using AI-assisted workflows across the dev/stage/prod lifecycle with strong automated testing and continuous deployment practices
- Manage work through GitHub, Jira, and internal systems, incorporating AI tools for task automation, code insights, and productivity improvements
- Have end-to-end ownership of microservices, applying agent-based delivery models and AI-assisted development practices while adhering to safe deployment and DevOps principles
- Implement microservices with Security, Reliability, and Telemetry as first principles, leveraging AI-driven insights to proactively identify risks and avoid technical debt
- Implement automated unit, API, and functional tests in a CI/CD environment, utilizing AI tools for test case generation, coverage improvement, and validation
- Work closely with cross-functional teams using AI-assisted analysis and collaboration tools to align on design and implementation
- Actively participate in backlog grooming, design discussions, and code reviews, leveraging AI for code analysis, review assistance, and design validation
- Identify and prioritize technical debt, using AI tools to surface inefficiencies and suggest refactoring opportunities
- Own reliability for services and participate in on-call rotation; use AI-assisted observability and incident analysis tools for faster triage and resolution of production issues
- Continuously research and adopt emerging AI tools, agent frameworks, and engineering practices, integrating them into daily workflows
- Ensure all engineering work complies with industry regulations and standards, leveraging AI for compliance checks and documentation
Skills
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Colegas fantásticos em muitas equipas. Benefícios como semana de 4 dias em Agosto. Flexibilidade de trabalho remoto. Produto com potencial.
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