3 months ago
Remote, IndiaStaff+
Responsibilities
- Drive architecture and technical direction across multiple services and teams.
- Lead complex cross-cutting initiatives involving migrations, modernization, and platform or system evolution.
- Own reliability and performance at scale and make high-leverage engineering tradeoffs.
- Raise engineering standards through design documents, standards, and reviews.
- Mentor senior engineers and influence technical strategy beyond a single team.
- Partner with engineering leadership and cross-functional stakeholders on technical roadmaps.
Requirements
- 8–12 years of software engineering experience with a record of technical leadership.
- Experience driving architecture and technical direction across multiple services or teams.
- Demonstrated cross-team influence in platform or system evolution and engineering standards.
- Deep expertise in distributed systems and cloud-native architecture with strong engineering judgment.
- Experience leading migrations or modernization initiatives and owning reliability and performance at scale.
- History of mentoring senior engineers and producing design documents and standards adopted by others.
- A degree in Computer Science, IT, or a related engineering field is preferred but not required.
- AI platform architecture experience is preferred.
- Agentic systems or LLM infrastructure experience is preferred.
Benefits
- Bangalore, India location with in-office/hybrid work arrangement.
- Five-day workweek and flexible working hours.
- Collaborative and supportive work environment with experienced colleagues.
- Competitive compensation is mentioned, but no amount is stated.
About Turing
Turing builds AI data pipelines and systems for enterprises and AI labs. It creates large-scale datasets and reinforcement-learning environments to train and evaluate models, and deploys agentic AI applications in domains like software engineering and enterprise workflows. The company also operates an AI-powered talent cloud to match and manage developers and AI trainers. Founded in 2018 and headquartered in San Francisco, it is privately held and serves Fortune 500 customers.