Live Events. Exclusive Content. Be there.
Staff Data Platform Engineer
Location
Texas
Posted
5 days ago
Salary
0
Seniority
Lead
Job Description
Staff Data Platform Engineer
FloSports
• Lead the architecture and design of complex, large-scale distributed systems • Design, develop, and maintain scalable, fault-tolerant microservices for both real-time and batch data processing • Build and maintain high-performance REST APIs with a focus on scalability, reliability, and maintainability • Design and implement data models and queries for efficient storage and retrieval across SQL and NoSQL databases • Lead data quality initiatives to ensure consistency, accuracy, and reliability of data across the platform • Collaborate with cross-functional teams to translate platform requirements into effective technical solutions • Drive technical standards and best practices for code quality, testing, and observability across engineering teams • Mentor and provide technical guidance to engineers through code reviews, design discussions, and direct support • Take end-to-end ownership of the software development lifecycle, including deployment, monitoring, and incident response
Job Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a related field or foreign equivalent
- Minimum 10 years of industry experience with a focus on backend and data engineering
- Proven experience designing and operating distributed data systems using a micro-services architecture, with a solid understanding of scalability, fault tolerance, performance, and observability best practices
- Hands-on experience with CI/CD pipelines and deployment automation
- A track record of writing high-quality, maintainable code across multiple services and teams
- Strong leadership skills to guide, mentor, and support engineers while fostering a collaborative team culture
- Excellent communication, analytical, and problem-solving skills
- Ability to adapt to a rapidly changing environment with evolving or ambiguous requirements
- Demonstrated ability to work independently, take ownership of complex projects, and drive them to completion with minimal supervision
- Ability to leverage AI-powered tools and frameworks to enhance developer productivity, automate workflows, and optimize data-driven systems
- Experience with AWS serverless technologies (e.g., SST, CDK, Terraform), NoSQL databases (e.g., DynamoDB), stream processing (e.g., Kinesis, DynamoDB Streams)
- Experience developing backend services using modern languages such as TypeScript and Node.js
- Experience deploying and managing applications on public cloud platforms (e.g., AWS, GCP)
Benefits
- Recognized three years in a row as a Top Workplace by the Austin-American Statesman
- Flexibility at work - you can take control of your profession and personal schedule
- All-hands events hosted in beautiful Austin, Texas
- Annual equity awards for all top performers
- Competitive and comprehensive medical, dental and vision plans
- Peace of mind through company-paid short-term disability, long-term disability and life insurance
- Generous 401(K) company match vested immediately
- Progressive parental leave policies
- Flexible paid time off
- Hack-a-thons and a full calendar of team-building and social events
- Company donation to youth teams and leagues that our employees coach
- Stocked snack bar, catered lunch and breakfast tacos every week
Related Guides
Related Categories
Related Job Pages
More Platform Engineer Jobs
• Lead the design, development, integration, deployment, and ongoing support of the organization's AI platform and related engineering capabilities • Define and implement platform architecture, engineering standards, and development practices • Partner with product, data, infrastructure, security, and business teams to align platform capabilities with enterprise needs • Oversee engineering teams in building reusable platform services, tools, and components • Drive modernization and integration efforts to connect existing systems and processes with AI platform capabilities • Monitor platform performance and operational health • Establish effective operating models, support processes, and governance practices • Communicate platform priorities, delivery progress, technical risks, and investment needs to senior leaders
Executive Director, AI Platform Engineering Lead
NovartisNovartis is a leading global pharmaceutical and healthcare research and solutions company dedicated to improving patient lives by uncovering solutions to curren
• Define and lead the engineering strategy, roadmap, and operating model for the organization’s agentic AI platform. • Oversee the design, development, integration, deployment, and ongoing operation of platform capabilities. • Establish platform engineering standards, architectural principles, and development practices. • Lead cross functional engineering teams in building reusable platform services, tools, and components. • Partner with product, data, infrastructure, security, and business teams. • Drive platform performance, operational excellence, and continuous improvement. • Guide the modernization of existing systems and processes. • Communicate platform strategy, technical direction, delivery progress, risks, and investment needs to senior executives and key stakeholders.
Platform Engineer II
First AmericanFirst American is on a mission to deliver a variety of real estate-focused services and solutions. As an employer, First American has been recognized for its ex
• Administer Oracle E-Business Suite R12.2.x, including installation, cloning, upgrades, online patching, and lifecycle management. • Manage Oracle Database 19c RAC environments, including backup and recovery, high availability, disaster recovery, and performance tuning. • Support Oracle Fusion Middleware and WebLogic administration, deployments, monitoring, and performance tuning. • Execute database, EBS technology stack, middleware, and security patching, including Linux administration and vulnerability remediation for Oracle application and database servers. • Support cloud or hybrid environments across OCI, AWS, or Azure, including automation, monitoring, and production operations. • Use approved AI tools to explore enterprise use cases and improve productivity, automation, documentation, and service delivery.
Architect – Platform Engineer
QuantiphiPioneering AI-first solutions, solving complex business challenges through expertise, cloud, data engineering, and AI.
• Design and implement scalable infrastructure for LLM and GenAI workloads across multi-GPU environments. • Perform GPU profiling, benchmarking, and performance optimization for distributed training workloads. • Manage and schedule compute-intensive jobs using Slurm-based clusters and OpenShift/Kubernetes environments. • Enable and optimize the NVIDIA GPU stack (CUDA, cuDNN, NCCL, Triton, RAPIDS, etc.). • Collaborate with cross-functional teams to deploy models in research and production environments. • Build and support GenAI pipelines (fine-tuning, RAG, multi-modal inferencing, LLMOps). • Develop reusable infrastructure templates using tools like Terraform and Helm.




