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.