Lead Software Engineer @ Sia
Your Application Journey
Email Hiring Manager
Job Details
Company Description
Sia is a next-generation, global management consulting group born digital in 1999. Its independent AI brand, Heka.ai, drives AI-powered SaaS solutions combined with consulting services.
Job Description
As a Lead Software Engineer, you will design and develop innovative AI-powered solutions with a focus on Python back-end development. You will architect complex systems, lead a team of engineers, mentor team members, and integrate AI/ML models into scalable applications.
Key Responsibilities
- Lead architecture, design, and development of Python back-end systems.
- Collaborate with data scientists to deploy and optimize AI/ML models.
- Containerize applications using Docker and Kubernetes for all environments.
- Manage cloud infrastructure with Terraform and Helm on AWS and GCP.
- Oversee and optimize database interactions using PostgreSQL and MongoDB.
- Set up monitoring and logging frameworks (Prometheus, Grafana, Loki, ELK).
- Participate in client-facing consulting projects and SaaS product development with Heka.ai.
- Support cross-functional teams including Data Scientists, Data Engineers, and DevOps.
Qualifications
Bachelor’s/master's degree in computer science or related field, with 6+ years of experience in software development, specializing in Python back-end and cloud-based solutions.
Key skills include proficiency in Python, Flask/Django, cloud platforms (AWS, GCP), Docker, Kubernetes, CI/CD, Terraform, and database management.
What We Offer
- Opportunity to lead cutting-edge AI projects in global consulting.
- Leadership development programs and training at global centers.
- A dynamic, collaborative team environment with diverse projects.
- Onsite position based in Mumbai.
Key skills/competency
Lead Software Engineer, Python, AI, Machine Learning, Docker, Kubernetes, Terraform, Cloud, Microservices, Consulting
How to Get Hired at Sia
🎯 Tips for Getting Hired
- Customize Resume: Tailor skills to Python and cloud experience.
- Highlight Leadership: Emphasize past team mentoring and project management.
- Demonstrate Expertise: Include AI, Docker, and Kubernetes projects.
- Showcase Consulting Experience: Mention client-facing roles.