Senior Software Engineer – Distributed Systems & AI Platforms

Job Description

🏢Company: Turing
📍Location: Bengaluru, Karnataka, India 🇮🇳
💼Job Type: Full-time
🏢Work Mode: In-office / Hybrid
⏳Experience: 6–8 Years
🎓Education: Degree in Computer Science, Information Technology, or a related engineering field preferred
💰Expected Salary: ₹30–₹45 Lakhs per year
📊Job Category: Engineering, Information Technology, Software Engineering, Backend Development, Cloud Computing, Distributed Systems, AI Engineering
🌐Website: Website
📞Contact: Contact us

🌟Build Systems That Power the Next Wave of AI

Great engineers don’t just write code — they build reliable systems, solve complex technical problems, and raise the standards of the teams around them. If you have 6–8 years of software engineering experience and enjoy owning products from design to production, this opportunity at Turing could be your next career move.

🌟About Turing:
Turing is a technology company headquartered in San Francisco that works with leading AI labs and Fortune 500 enterprises. It develops high-quality AI training datasets, reinforcement learning environments, research benchmarks, and enterprise AI systems.

Its mission is to accelerate superintelligence and turn advances in AI research into practical economic progress.

💡About the Role:
Turing is looking for a Senior Software Engineer to take end-to-end ownership of important product and platform components. You will design scalable distributed systems, make key architectural decisions, improve production reliability, and mentor engineers while collaborating with product and design teams.

This is an opportunity for an experienced engineer who combines strong technical judgment with an AI-forward mindset.

📌Key Responsibilities:

• Own software features and services from initial design through deployment and production operations.
• Design scalable, reliable distributed systems and guide important technical decisions.
• Investigate production incidents, troubleshoot complex issues, and improve system performance.
• Conduct constructive code and design reviews to strengthen engineering standards.
• Mentor junior engineers and contribute to a culture of technical excellence.
• Collaborate with product, design, and cross-functional teams to deliver reliable solutions.
• Track measurable improvements in scalability, reliability, and engineering quality.

🎯Requirements:

• 6–8 years of professional software engineering experience, preferably in product-focused technology companies.
• Demonstrated ownership of end-to-end software delivery and production debugging.
• Strong understanding of distributed systems and cloud engineering.
• Experience with at least one major cloud platform: AWS, Google Cloud Platform (GCP), or Microsoft Azure.
• Strong software design, coding, testing, and code-review practices.
• Experience contributing to architecture decisions and measurable system improvements.
• Ability to mentor colleagues, communicate clearly, and work across teams.

🌟Preferred Skills:

• Microservices architecture and platform engineering.
• AI/LLM platform integrations and AI-enabled software solutions.
• Cloud-native application development and distributed application reliability.
• Technical leadership, system design, and performance optimization.

🎁Why Join Turing?

• 🚀 Work on projects connected to advanced AI research and frontier AI models.
• 🧠 Help develop datasets, reinforcement learning environments, and research benchmarks.
• 🌍 Contribute to enterprise AI solutions used in mission-critical business workflows.
• 🤝 Learn alongside experienced professionals from leading technology companies.
• 📈 Take ownership of meaningful engineering challenges in a fast-moving environment.
• 💡 Work in a culture that values client success, startup speed, and AI-driven productivity.

🔥Career Insight:
At the senior engineering level, writing excellent code is only part of the job. Employers also value engineers who can make sound architectural decisions, improve reliability in production, and help other developers perform at their best. Be ready to demonstrate the measurable impact of systems you have built or improved.