Lynx Analytics

SoftwareEngineer

₹22–35L ~AI est. Pune, Maharashtra, India Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Software Engineer at Lynx Analytics. Skills: Python development, Cloud platforms, AI solutions. Design software platforms. Build software platforms”

What You'll Achieve.

Measurable business impact

Industry & Context.

Eligibility Requirements

Overlap Pacific Time, 3 hours daily

What They're Looking For.

Must Have

Bachelor’s degree in Computer Science, 5+ years Python experience, SQL skills, Hands-on cloud experience, Practical Docker knowledge, Practical Kubernetes knowledge

Nice to Have

Systems design experience, Cloud-native environments experience, Distributed environments experience

What You'll Do.

Design software platforms

Build software platforms

Operate software platforms

Develop software solutions

Maintain software solutions

Contribute to system architecture

Manage containerized applications

Support AI development

Support analytics deployment

Collaborate with teams

Participate in technical discussions

Participate in architectural reviews

Participate in code reviews

Adhere to data protection policies

Ensure security standards

How You'll Work.

Team & Collaboration

Multidisciplinary teams; Cross-functional teams; Client-facing teams; Global team; Data scientists

Full Job Description

We are looking for a Software Engineer to join our growing engineering team. In this role, you will design, build, and operate scalable software platforms that support analytics and AI solutions. You will contribute to system architecture, cloud deployments, and modern containerized environments, while collaborating with multidisciplinary teams across regions. What This Involves: Develop and maintain high-quality software solutions using Python. Contribute to the design and evolution of scalable and maintainable software architectures. Deploy, operate, and monitor applications in cloud environments (AWS, Azure, or GCP). Manage containerized applications using Docker and Kubernetes. Support the development and deployment of AI and analytics solutions, working closely with data scientists and data engineers. Collaborate with cross-functional and client-facing teams to deliver end-to-end solutions. Participate in technical discussions, architectural and code reviews, and continuous improvement initiatives. Adhere to internal and client-mandated data protection and compliance policies, ensuring all handling, storage, and sharing of data meets required security and privacy standards. Requirements: Bachelor’s degree in Computer Science or related fields. Strong Python knowledge with 5+ years of experience building production-grade software. Strong SQL skills, including writing complex queries, joins, and aggregations. Hands-on experience operating and deploying solutions in cloud environments (any major cloud provider). Practical knowledge of container technologies and architectures, including Docker and Kubernetes. Basic understanding of AI solution components and technologies, such as LLMs, vector databases, APIs/protocols, and supporting infrastructure. Experience in systems design, particularly in cloud-native or distributed environments is a plus. Ability to overlap with Pacific Time business hours for a minimum of 3 hours per day. Why You Will Love It Here: Work on

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