Staff Software Engineer - Backend

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Bengaluru

On-site

INR 1,200,000 - 2,000,000

Full time

14 days+

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Job summary

A reputable tech company is seeking a Staff Software Engineer Backend to lead large-scale technology initiatives and architect secure, scalable enterprise applications. The ideal candidate will drive AI integration efforts and mentor engineers while collaborating with cross-functional teams. Key responsibilities include designing durable software solutions, developing CI/CD pipelines, and staying updated with industry advancements. If you have strong leadership skills and cloud computing experience, apply now for this challenging opportunity in Bengaluru.

Qualifications

  • Proven leadership in technology initiatives across multiple layers.
  • Expertise in AI integration and cloud solutions.
  • Experience in enterprise architecture design.

Responsibilities

  • Drive technology initiatives end to end across multiple architectural layers.
  • Architect and develop scalable secure enterprise applications.
  • Collaborate with global cross functional teams.

Skills

Leadership skills
AI integration
Cloud computing
Enterprise architecture

Job description

As a Staff Software Engineer Backend you will lead large scale technology initiatives and architect scalable secure and maintainable enterprise applications. You will drive AI integration across systems collaborate with cross functional global teams and mentor engineers while building next generation financial technology solutions.

Responsibilities
  • Drive technology initiatives end to end across multiple architectural layers.
  • Architect and develop scalable secure enterprise applications.
  • Design and implement durable software solutions for critical customer problems.
  • Provide best practices for application platform and developer tooling.
  • Stay updated with industry advancements and apply cutting edge technologies.
  • Collaborate with global cross functional teams.
  • Mentor junior engineers and guide AI integration efforts.
  • Build and deploy applications into cloud environments.
  • Develop and maintain CI/CD pipelines.
  • Integrate AI models into production and monitor performance metrics.
Preferred qualifications

Strong leadership skills, AI integration expertise, cloud computing experience, enterprise architecture knowledge.

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