Tech Lead

Tech Lead / Lead Engineer - Pricing & Analytics Platforms

About the Role
We are seeking an experienced Tech Lead / Lead Engineer to spearhead the design, development, and delivery of our next-generation pricing, sales, and marketing platforms, including a dynamic pricing software solution. This individual will lead a team of engineers to build a data-intensive application leveraging AWS cloud services, Java, and Python, ensuring high scalability, performance, and robustness.

This is a hands-on leadership role: you will set the technical vision, guide architectural decisions, and contribute directly to coding and solution design while mentoring and developing your team.
Key Responsibilities

Leadership & Strategy

• Define and drive the technical roadmap for the dynamic pricing platform.
• Lead, mentor, and grow a cross-functional team of software and data engineers.
• Champion engineering best practices, agile development, and DevOps culture.

Architecture & Development

• Architect a cloud-native, data-heavy pricing system on AWS with high reliability and scalability.
• Oversee core modules for pricing algorithms, real-time data processing, and analytics integration.
• Ensure seamless integration of data pipelines, APIs, and third-party systems.
• Write clean, high-performance code in Java and Python while setting coding standards.

Data & Performance

• Design systems capable of ingesting, transforming, and analyzing large-scale structured and unstructured datasets.
• Optimize computation-heavy models and queries for low-latency, high-throughput operations.
• Implement monitoring, alerting, and cost optimization strategies in AWS.

Collaboration & Delivery

• Work closely with product managers, data scientists, and stakeholders to align technology with business outcomes.
• Translate complex pricing or sales requirements into scalable, production-ready software.
• Ensure timely delivery of features with a balance of speed, quality, and technical debt management.

Qualifications

Technical Expertise

• Bachelor's or Master's degree in Computer Science, Software Engineering, or related field.
• Strong programming background in Java and Python.
• Proven experience designing and implementing large-scale, data-intensive systems.
• Hands-on experience with Apache Spark, particularly PySpark, deployed via AWS Glue.
• Deep knowledge of AWS cloud services (e.g., EC2, S3, RDS, EMR, Lambda, ECS/EKS, Glue, Redshift).
• Proficiency in building APIs, microservices, and distributed systems.
• Understanding of data modeling, ETL pipelines, and high-performance computing.

Leadership & Delivery

• 5+ years of experience in software engineering, with at least 2+ years in a lead role.
• Demonstrated ability to lead and inspire engineering teams, drive architectural decisions, and deliver complex projects.
• Experience with agile methodologies and CI/CD pipelines.

Preferred

• Exposure to machine learning / optimization algorithms applied to pricing or related domains.
• Knowledge of containerization and orchestration (Docker, Kubernetes).
• Experience in fintech, e-commerce, travel, or retail pricing systems.