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.