Senior / Lead Software Engineer

Your New Company

Your New Role

Senior or Lead Engineer

• , you aren't just writing code; you are architecting the platforms that make AI operational at scale.
• Your focus will be on engineering excellence and cross-functional leadership:
• **Architecture & Full-Stack Mastery:**
• Design and develop high-performance backend services and APIs.
• You will lead the creation of intuitive interfaces using React or Angular, ensuring every product is scalable and secure.
• **Infrastructure as Code:**
• Own the cloud infrastructure strategy (Azure, AWS, or GCP).
• You will be responsible for building high-availability environments and robust CI/CD pipelines using GitHub Actions or Azure DevOps.
• **Production-Grade AI (MLOps):**
• Bridge the gap between research and reality.
• You will operationalize ML models using Docker and Kubernetes, ensuring AI solutions are monitored, performant, and reliable in production.
• **Technical Leadership:**
• Act as a mentor to mid-level engineers, driving code quality through rigorous testing and best practices.
• You will translate high-level product requirements into actionable technical roadmaps.
• **Agile Advocacy:**
• Foster a culture of iterative delivery, helping product owners and data scientists align engineering efforts with long-term business impact.

What You'll Need to Succeed

• We are looking for a high-energy, ownership-driven engineer who thrives when given a complex problem and a blank canvas.
• **Experience:**
• 6+ years in a software engineering or DevOps role, with a clear track record of technical leadership or leading complex project lifecycles.
• **Tech Stack:**
• Mastery of

Python

• and one other language (Java/TypeScript), alongside deep proficiency in SQL/PL-SQL.
• **Cloud & DevOps:**
• Extensive experience with

Docker, Kubernetes, and Terraform

• .
• Familiarity with MLOps frameworks like MLflow or Kubeflow is a significant advantage.
• **Systems Design:**
• A strong understanding of microservices, API architecture, and data engineering (Data Lakes/Warehousing).
• **Education:**
• Bachelor’s degree in Computer Science or Engineering (Master’s degree preferred).
• **Mindset:**
• You should be comfortable navigating ambiguity and capable of driving technical clarity for stakeholders across the organization.

What You'll Get in Return

• Competitive Salary & great benefits
• The opportunity to build a legacy within a department that is central to the digital transformation of a global powerhouse.
• Access to the latest tools in AI, Cloud, and Data Engineering within a highly collaborative and supportive environment.

What You Need to Do Now