Lead Software Engineer - Product
- Compensation
- Not disclosed
- Location
- Pune, Maharashtra, India
- Work setup
- Onsite
- Seniority
- Lead
- Employment
- Full time
- Experience
- 6+ years
- Category
- Software engineering
- Posted
Skills
Must have
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.
- 6–10+ years of hands-on experience in building and scaling software products, with at least 2–3 years in a technical leadership or lead engineer role.
- Strong proficiency in Python and backend frameworks such as Django or Flask.
- Solid experience with data engineering and big-data ecosystems, including SQL/NoSQL databases, Spark, Kafka, Airbyte, Databricks, Snowflake, or similar technologies.
- Good understanding of data modeling, ETL/ELT pipelines, and data warehousing concepts.
- Experience working with at least one modern front-end framework (React, Angular, Vue.js, etc.) and collaborating closely with UI teams.
- Hands-on experience with cloud platforms (AWS preferred; Azure or GCP acceptable).
- Practical experience with CI/CD tools (Jenkins, GitLab CI, TeamCity), containerization (Docker, Kubernetes), and monitoring/logging solutions (Prometheus, Grafana, ELK stack).
- Exposure to integrating AI/ML models into applications; experience with generative AI, LLMs, and agent frameworks (e.g., CrewAI, LangChain) is a strong plus.
- Familiarity with security, compliance, and data privacy considerations (HIPAA, CCPA, SOC) in regulated environments.
- Knowledge of life sciences or biopharma domain and commercial datasets (IQVIA, Symphony, Komodo, Veeva, OCE, etc.) is highly desirable.
- Strong problem-solving skills with a pragmatic, delivery-oriented mindset.
- Excellent communication skills and the ability to influence across engineering, product, and business teams.
Full description
Job Title: Lead Software Engineer, ProductAbout Improzo & the iZO Platform
At Improzo (derived from Improve + Zoe, the Greek word for Life), our mission is to improve lives by transforming how life sciences enterprises extract value from technology and data. Founded by seasoned industry leaders, we deliver AI & Analytics-Led, Product-Enabled solutions, combining deep domain data engineering, Agentic AI, and pre-built analytical frameworks to rapidly accelerate commercial and medical business outcomes for global life sciences clients.
At the heart of our strategy is iZO, our next-generation, AI-first decision intelligence platform. iZO empowers enterprise leadership across Commercial (field force effectiveness, omnichannel marketing, HCP personalization) and Medical Affairs (KOL mapping, scientific communication analytics, real-world evidence insights) by converting complex datasets into autonomous workflows and high-impact actions.
At Improzo, you won't be confined to a cubicle—you’ll be navigating open waters with an agile, high-caliber team of domain experts, technologists, and data strategists. We foster an environment of continuous learning, cross-functional ownership, and rapid innovation where you work alongside industry veterans to shape the future of life sciences intelligence.
People are at the heart of our success, so we have defined our CARE values framework with a lot of effort, and we use it as our guiding light in everything we do. We CARE!
- Customer-Centric: Client success is our success. Prioritize customer needs and outcomes in every action.
- Adaptive: Agile and Innovative, with a growth mindset. Pursue bold and disruptive avenues that push the boundaries of possibilities.
- Respect: Deep respect for our clients & colleagues. Foster a culture of collaboration and act with honesty, transparency, and ethical responsibility.
- Execution: Laser focused on quality-led execution; we deliver! Strive for the highest quality in our services, solutions, and customer experiences.
About the Role:
We are looking for an experienced and hands-on Lead Software Engineer to lead the design and development of core components of our next-generation Analytics Platform with a growing suite of AI-powered applications. In this role, you will combine strong technical depth with people leadership, guiding a team of engineers to build scalable, high-quality solutions in the data analytics and AI/ML space for the Life Sciences industry.
You will play a critical role in translating platform architecture into robust implementations, driving engineering best practices, and ensuring timely, high-impact delivery of features that empower our users across the Life Sciences value chain (Product Launch, Segmentation, Brand Management, Sales Force Effectiveness, Reporting & Dashboards, etc.).