Sia Partners
Lead Software Engineer
Job Description
Company Description
Sia Partners is a next-generation management consulting firm. We offer a unique blend of AI and design capabilities, augmenting traditional consulting to deliver superior value to our clients. With expertise in more than 30 sectors and services, we optimize client projects worldwide. Through our Consulting for Good approach, we strive for next-level impact by developing innovative CSR solutions for our clients, making sustainability a lever for profitable transformation.
Heka.ai is the independent brand of Sia Partners dedicated to AI solutions. We host many AI-powered SaaS solutions that can be combined with consulting services or used independently, to provide our customers with solutions at scale.
Job Description
As a Lead Software Engineer, you will be at the forefront of designing and developing innovative AI-powered solutions and driving large-scale projects in Python back-end development. You will architect complex systems, lead a team of engineers, and ensure smooth integration of AI and machine learning models into back-end infrastructures. We are seeking a highly skilled Lead Software Engineer to drive the architecture and proof of concepts (POCs). In this role, you will mentor a team of engineers and act as the technical subject matter expert, solving complex programming and design challenges.
Key Responsibilities
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Lead the architecture, design, and development of back-end systems using Python, with a focus on integrating AI and machine learning models into scalable applications.
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Collaborate closely with data scientists to deploy, optimize, and scale AI/ML models, ensuring their seamless functionality in production environments.
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Lead efforts to containerize AI-driven applications using Docker and Kubernetes, managing both development and production environments.
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Use Terraform and Helm to manage cloud infrastructure, automating deployment processes and ensuring scalability on platforms like GCP and AWS.
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Oversee database interactions, optimize performance, and ensure data integrity across SQL and NoSQL databases (PostgreSQL, MongoDB).
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Set up monitoring (using Prometheus, Grafana) and logging frameworks (Loki, ELK stack) to ensure the reliability and security of deployed AI models and applications.
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Participate in client-facing consulting projects, providing technical leadership and expertise in developing AI-powered SaaS solutions.
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Participation in our consulting assignments with our clients
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Development of our Software-as-a-Service products from Heka.ai
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Support to Data Scientists, Data Engineers, and DevOps Engineers in projects with a strong Data component:
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Back-end software development in Python: development of microservices and tools executed on the server (interaction with a database, REST API server, authentication, etc.)
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Deploy and manage containerized applications using Docker and Kubernetes.
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Continuous integration: management of continuous software integration (tests writing, artifacts building, etc.)
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Contribution to the back end, front-end and software architecture of applications
Qualifications
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Education: Bachelor’s/master’s degree in computer science, Software Engineering, or a related field.
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Experience: 6+ years of experience in software development, with a focus on Python back-end development.
- Skills:
- Strong proficiency in Python and experience with frameworks like Flask or Django.
- Extensive experience with cloud platforms (GCP, AWS) and microservices architecture.
- Strong knowledge of Docker, Kubernetes, and CI/CD pipelines (GitLab).
- Database management with PostgreSQL / MongoDB.
- Proficiency in Terraform for infrastructure as code (IaC).
- Experience mentoring and leading engineering teams.
Additional Information
What We Offer
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Opportunity to lead cutting-edge AI projects in a global consulting environment.
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Leadership development programs and training sessions at our global centers.
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A dynamic and collaborative team environment with diverse projects.
Position based in Mumbai (onsite)
Sia Partners is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.