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.

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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.

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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.