Top Senior Scala Jobs in Houston, TX

Lead design and implementation of Affirm's Lakehouse Platform using Iceberg, Spark, Snowflake, and cloud storage. Drive platform roadmap, governance, access controls, performance and cost optimization, analytics engineering best practices, observability, and on-call readiness. Partner cross-functionally, mentor engineers, and build scalable, secure, self-service data infrastructure and semantic/agentic data tools.

The Senior Quality Engineer will enhance the automation framework, improve automated coverage, drive quality in compliance-critical software, and establish testing pipelines while collaborating with multiple teams.

Design, build, and operate scalable, secure data platform infrastructure for ingesting, processing, cataloging, and accessing petabytes of data. Improve Spark/Databricks reliability and developer experience, build ingestion/replication systems, develop internal libraries and tooling (Go/Python), and collaborate with cross-functional teams to support analytics, ML, and customer-facing data products.

Design and develop software solutions enhancing user experience for Governance features, contribute to open-source software, communicate technical designs, and support team quality through reviews.

Design and develop backend services and APIs for identity resolution, optimize event-driven systems, and enhance system reliability. Mentor engineers and influence architectural decisions.

As a Staff Software Engineer, you'll design and operate traffic infrastructure, lead multi-team projects, ensure service reliability, and mentor engineers while utilizing AI tools for development efficiency.

Develop and manage high-performance back-end systems, design secure APIs, optimize performance in cloud environments, conduct testing, and manage ML model lifecycles.

The Senior Backend Engineer will develop the Payroll product, overseeing the entire development cycle from design to deployment, in a microservices architecture.

The Senior Software Engineer will build and enhance 15Five's Data Intelligence Platform while collaborating with Data Science and Product Engineering teams.

Own and set technical direction for the Everand backend, building scalable, reliable systems for discoverability, personalization, and core consumption journeys. Drive architecture, platform health (CI/CD, staging, DBs, queues, cost, observability), mentor engineers, lead cross-team planning, modernize legacy systems, and partner with product, design, analytics, web/mobile, and ML to support experimentation and telemetry-driven decisions.

As a Senior Architect, you will lead teams in modern data architecture, design data pipelines, and deliver analytical solutions while mentoring junior members and managing technical projects.

Lead a team of 4 to 6 software engineers, driving operational, technical, and communication efforts to deliver impactful software solutions in healthcare technology.

The Software Engineer will modernize the platform, enhance legacy systems, design new services, and collaborate on architecture, leveraging various technologies and engineering practices.

As a Staff Software Engineer, you'll design and develop systems to integrate AI in healthcare payment processes, mentor engineers, and optimize workflows.

The Staff Software Engineer will design and build scalable backend systems, lead projects, and contribute to enterprise software solutions, focusing on application architecture, API development, and ML techniques.

Lead backend development for MapMyFitness, collaborate with product/marketing/design, build and maintain APIs for mobile clients, respond to bugs, monitor and resolve incidents, ensure high availability, ship maintainable/testable code, and drive major architectural changes for a platform used by millions.

Lead two engineering teams owning the WMS platform: people management, predictable sprint delivery, platform enhancements, production reliability, incident leadership, and cross-team alignment with product and peers.

Design, build, and scale event-driven, distributed backend systems in Python to extract and enrich metadata at massive scale. Lead architecture, mentor engineers, integrate ML/LLM components, optimize performance, and ensure observability and reliability across AWS-based pipelines.

Design, implement, and scale event-driven, distributed backend systems in Python on AWS to process and enrich large-scale document and media datasets. Lead technical projects, mentor engineers, integrate ML/LLM components, optimize performance, maintain observability, and collaborate with Data Science, ML Engineering, and Product to deliver reliable high-throughput content processing services.

The Senior Backend Engineer will design and build backend systems for a multi-cloud platform, ensuring performance, scalability, and high quality while collaborating with various teams and stakeholders.

Develop and maintain language frontends for the Joern platform for automated software vulnerability analysis, collaborating with a global team.

Lead and grow a Data Engineering team to build production data pipelines, medallion datasets, and reusable data products. Drive architecture, engineering standards, design reviews, and cross-functional delivery. Partner with Product, Analytics, Data Science, and Platform to enable governed, reliable data foundations for analytics and AI. Mentor engineers and manage multiple concurrent initiatives to deliver predictable outcomes.

As a Senior Solutions Architect, you will engage with customers, develop strategies with Account Executives, and coach junior staff while promoting the Databricks platform through technical engagements and community involvement.

The Senior Backend Engineer will develop financial technology solutions, focusing on transparency in consumer lending through modern API development and data analytics, while collaborating with various teams to enhance product offerings.

Design, develop, maintain, and troubleshoot automated deployment pipelines and CI/CD infrastructure across Linux/AWS environments. Create build/deploy scripts, integrate CI/CD tools, automate testing, onboard developers, enforce policies, and support deployments to staging and production.