Turing: Software Engineer — Bengaluru, Karnataka, India

About Turing

Turing provides remote engineering and AI services. It connects companies, including frontier AI laboratories, with datasets, evaluation environments and a vetted pool of remote software engineers and domain specialists, supporting large language model post-training and software delivery. Companies use the pool for software projects as well as AI model development work, and its employer feed lists recruiting and programme roles managing this talent across time zones.

The position and its setting

Turing lists Software Engineer in Bengaluru, Karnataka, India, under reference 6115695004. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Product
• Employer listing date: 15 July 2026

Responsibilities and work described

• We're hiring a Senior Software Engineer to own significant pieces of our product and platform end-to-end
• You'll lead the design and delivery of complex systems, raise the engineering bar through reviews and mentorship, and partner across functions to ship reliable software at scale
• This is a high-ownership role for an engineer who combines distributed-systems depth with sound design judgment and an AI-forward mindset
• Own end-to-end delivery of features and services — from design through production operation
• Design: scalable, reliable distributed systems and drive key technical decisions
• Debug and resolve production issues; improve reliability and performance
• Raise code quality and design standards through thorough, constructive reviews
• Mentor junior engineers and contribute to a engineering culture
• Collaboration: cross-functionally with product, design, and other teams

Essential requirements and candidate background

• 6–8 years
• 6–8 years of software engineering experience, ideally at scalable product companies
• Ownership: end-to-end delivery, production debugging, and mentoring more junior engineers
• Distributed systems and cloud engineering skills (AWS, GCP, or Azure)
• Code quality, testing, and design practices
• A track record with measurable scale, reliability improvements, and architecture participation
• Cross-functional collaboration and clear communication

Preferred experience and additional strengths

• A degree in Computer Science, IT, or a related engineering field is preferred but not required — we weight work outcomes most heavily
• Microservices / platform engineering experience
• AI/LLM platform integrations
• We are an equal-opportunity employer
• We evaluate candidates on demonstrated skills and impact and welcome applicants from all backgrounds

Location, schedule and contract conditions

• Advertised location: Bengaluru, Karnataka, India

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Software Engineer vacancy is not an offer for reference 6115695004; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Turing

Applications follow the official employer page linked below.

Open the official Turing posting below and match the title and reference 6115695004.

Compare your qualifications and experience with the essential conditions for the Bengaluru, Karnataka, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: AWS

For AWS experience, describe the workload and the services you actually configured or operated. Useful detail includes deployment, access controls, monitoring, recovery or cost decisions where those were your responsibility.

Relevant skills

• AWS
• GCP
• Azure
• AI/ML
• LLMs
• Google Cloud
• AI
• communication