Senior Software Development Engineer - Big Data

We are seeking a highly experienced Senior Software Development Engineer to design and build scalable data platforms that power analytics, machine learning, and AI-driven products. In this role, you will develop reliable, secure, and high-performance data pipelines and services that transform complex datasets into valuable business insights. You will also contribute to the development of a shared AI context layer and agent platform, enabling teams to build intelligent applications and deliver enhanced customer experiences. Working at the intersection of software engineering, distributed systems, and artificial intelligence, you will collaborate with cross-functional teams to turn business and technical requirements into production-ready solutions. You will help establish engineering best practices, improve platform reliability, and mentor other engineers. This fully remote opportunity offers the chance to solve complex data challenges at scale while shaping the future of AI-powered technology in a collaborative and innovative environment.

• Education: Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or an equivalent combination of education and professional experience.

• Professional experience: At least 8 years of software engineering experience, with a strong focus on building, deploying, and operating data-intensive applications or distributed systems.

• Big data engineering expertise: Demonstrated experience designing, implementing, and supporting production-grade data pipelines and platforms using modern big data, streaming, and/or cloud-native technologies.

• Data architecture and systems design: Strong understanding of scalable data processing, data modeling, storage strategies, distributed computing, system reliability, and performance optimization.

• Production engineering: Experience developing and maintaining reliable data services, including automated testing, monitoring, observability, alerting, and operational troubleshooting.

• AI and agentic technologies: Hands-on experience building agentic solutions or AI-powered capabilities using major AI tools and shared internal platforms. Experience with Databricks is considered an advantage.

• API and platform development: Ability to build robust services, integrations, authentication mechanisms, and APIs that support scalable data and AI applications.

• Cross-functional collaboration: Proven ability to work effectively with product, analytics, data science, and engineering stakeholders to deliver solutions aligned with business objectives.

• Technical leadership: Strong problem-solving skills and the ability to lead design discussions, conduct code reviews, mentor engineers, and promote consistent engineering standards.

• Communication and documentation: Excellent written and verbal communication skills, with the ability to explain complex technical concepts, document architectures, and collaborate effectively across distributed teams.

• Adaptability and continuous learning: Ability to navigate evolving technologies, evaluate new tools, manage competing priorities, and continuously improve engineering practices in a fast-paced environment.