About Kinetic Backed by Nationwide, Kinetic is a tech-first Managing General Agent (MGA) focused on leveraging AI-driven technology and expert human support to transform workers' compensation claims management. By utilizing data to create actionable steps from the moment of injury through closure, Kinetic works to reduce workplace injuries, streamline the claims process, and lower premiums for midsize and large businesses in safety-critical industries like parcel delivery, manufacturing, and wholesale/warehousing operations. We also work directly with enterprise clients. We’re a remote-first team headquartered in New York City, growing fast—10x in the past two years—and driven by accountability, continuous improvement, and collaboration. If you're excited to build a career with impact, we’d love to meet you. Kinetic was named to Business Insurance's Best Place to Work in Insurance 2025. The role: Reporting to the VP of Engineering, this role will lead our Data team which is responsible for developing and maintaining our production data lake and our LLM-based AI solutions that serve as the foundation for Kinetic’s industry leading workers compensation insurance products. You will be hands-on, contributing directly to the design, development, and deployment of new data integrations and Agentic AI solutions in a Python-focused and cloud-native stack. You will also lead and manage a small team of engineers ensuring high performance, working alongside a dedicated Product Manager. This role is extremely cross-functional, and provides the opportunity for deep exposure to and support of business units across the organization. We’re looking for someone who enjoys tackling complex, real-world challenges, thrives in a fast-paced environment, and is eager to learn and adapt as technologies evolve. You’ll contribute to everything from core infrastructure to experimental features, helping deliver high-impact solutions that reduce workplace injuries and improve operational outcomes for our customers. A strong engineering foundation, curiosity, and a collaborative mindset are key to success in this role. Responsibilities: - Own the architectural direction of Kinetic's data platform and AI products, operating as a player-coach who balances rapid experimentation with production reliability while contributing significant hands-on code. - Design, develop, and implement robust, cloud-native data and AI solutions, writing clean, well-tested, and maintainable code in a team environment. - Participate in architecture and code reviews to ensure high-quality, scalable systems, and implement best practices for security, reliability, and observability. - Lead root-cause analysis of complex data and AI system issues, driving durable fixes and continuous improvement. Basic Qualifications: - Bachelor's degree in Computer Science or a related field and at least 5 years of relevant hands-on software engineering experience. - At least 2 years experience leading projects and mentoring engineers, with the ability to manage and grow a small team. - Deep experience building and operating Python-based data pipelines and production-grade cloud-native systems (CI/CD, monitoring, long-term maintainability). - The working language at Kinetic is English. Preferred Qualifications: - Experience developing and deploying AI features in production software, especially those leveraging LLMs or agentic AI patterns. - Experience with AWS, Apache Airflow, and Terraform. - Strong testing and documentation practices. - Experience with production security practices in the cloud including building systems that meet enterprise security standards and industry best practices. - Experience operating in early-stage or high-growth startup environments where pragmatism and speed matter.

• Design and implement scalable data ingestion and processing pipelines using AWS services and modern data tools • Perform data ingestion, validation, and transformation using existing data frameworks • Develop and enhance data ingestion frameworks to support fast and reliable data onboarding • Process structured and semi-structured data using batch processing and store data in S3 • Transform and load data into Redshift and manage data operations using DBT • Build and manage workflow orchestration using Airflow or Step Functions • Export and integrate processed data with external systems via S3 • Implement data validation, auditing, and monitoring to ensure data quality and reliability • Create configurable data pipeline steps using JSON, tables, or similar methods for non-technical users • Support containerized deployments using Docker and contribute to deployment processes

WHAT WE DO Founded in 2007, Growth Acceleration Partners (GAP) is a consulting and technology services company. We consult, design, build and modernize revenue-generating software and data engineering solutions for clients. With modernization services and AI tools, we help businesses achieve a competitive advantage through technology. GAP’s remote, integrated engineering teams use end-to-end solutions to innovate and align with your business goals. We have 600+ English-speaking engineers based in Latin America and approximately 20 U.S.-based engineers. With some of the highest customer satisfaction scores in the industry, GAP’s focus is customer and employee success. GAP is a woman-owned company headquartered in Austin Texas. We are a values-based company focused on growing our people by investing in education, onsite English classes and training in the latest technologies, including AI, data analytics and machine learning. Our goal is to provide solutions for our customers that help them achieve critical business outcomes, while enabling our GAPSters and our communities to attain long-term success. Summary We are looking for a Staff Data Platform Engineer with deep expertise in large-scale analytical databases and real-time data platforms. In this role, you will lead the design, optimization, and scalability of high-performance OLAP systems that power analytics, AI pipelines, and intelligent connectivity platforms. You will architect and optimize distributed analytical databases such as ClickHouse while ensuring the platform can process multi-terabyte datasets efficiently. This role combines data architecture, performance engineering, and platform design, with a strong focus on real-time analytics and large-scale data processing. As a Staff Engineer, you will also guide engineering teams on best practices for data modeling, distributed query optimization, and system scalability, ensuring that data systems deliver reliable insights and support advanced AI-driven workloads. Education - Bachelor’s or Master’s Degree in Computer Science, Data Science, Engineering, or related field, or equivalent practical experience. Professional Experience - +10 years of experience building and operating data engineering or analytics platforms - Strong experience working with OLAP databases or analytical data systems - Experience designing distributed data systems handling multi-terabyte datasets - Proven experience optimizing high-performance analytical queries and data pipelines - Experience mentoring engineers and guiding data architecture decisions Key Responsibilities Data Platform Architecture - Architect and optimize large-scale ClickHouse or OLAP databases - Design distributed data systems capable of handling multi-terabyte datasets - Define best practices for analytical data models and query performance - Ensure high availability, scalability, and reliability of data systems Performance Optimization - Tune analytical queries for maximum performance and efficiency - Optimize storage structures, indexing strategies, and partitioning - Improve query latency for real-time analytics workloads - Monitor and address performance bottlenecks in distributed data systems Data Pipeline & Platform Integration - Integrate ClickHouse with analytics platforms, dashboards, and AI pipelines - Design efficient data ingestion and transformation pipelines - Support real-time analytics use cases across distributed systems - Enable downstream consumption by analytics and product teams Engineering Leadership - Mentor engineers on distributed data system design and performance optimization - Guide teams in building scalable analytics infrastructure - Contribute to architectural decisions across the data platform - Promote best practices for data architecture and data reliability Cross-Team Collaboration - Work closely with data scientists, analytics teams, and backend engineers - Ensure the data platform supports real-time analytics and AI-driven features - Communicate complex data architecture decisions clearly to technical teams Required Technical Skills Data Platforms & Databases - Deep experience with ClickHouse or similar OLAP databases - Experience with analytical databases such as Druid, DuckDB, or similar systems - Strong experience managing multi-terabyte data environments - Deep understanding of distributed data system architecture Data Engineering & Analytics Systems - Experience building and operating analytics platforms and data pipelines - Knowledge of high-performance query optimization - Experience designing analytical schemas for fast querying - Experience integrating data platforms with analytics or AI systems Nice to Have - Experience with real-time data streaming architectures - Experience working with vector databases or AI data pipelines - Experience with cloud-based data infrastructure - Experience supporting large-scale analytics platforms Soft Skills - Advanced English proficiency - Strong communication and collaboration skills - Builder mindset with strong curiosity and experimentation attitude - Ability to explain complex technical concepts clearly At Growth Acceleration Partners, we're an equal opportunity employer committed to building a diverse and inclusive team. We value everyone's unique background, and we provide equal opportunities regardless of race, color, creed, religion, sexual orientation, gender identity, age, national origin, disability, marital status, veteran status or any other personal right protected by law. We foster a culture of belonging and strive to provide a welcoming environment where everyone feels safe to contribute and grow.

Lyric is an AI-first, platform-based healthcare technology company, committed to simplifying the business of care by preventing inaccurate payments and reducing overall waste in the healthcare ecosystem, enabling more efficient use of resources to reduce the cost of care for payers, providers, and patients. Lyric, formerly ClaimsXten, is a market leader with 35 years of pre-pay editing expertise, dedicated teams, and top technology. Lyric is proud to be recognized as 2025 Best in KLAS for Pre-Payment Accuracy and Integrity and is HI-TRUST and SOC2 certified, and a recipient of the 2025 CandE Award for Candidate Experience. Interested in shaping the future of healthcare with AI? Explore opportunities at lyric.ai/careers and drive innovation with #YouToThePowerOfAI. Applicants must already be legally authorized to work in the U.S. Visa sponsorship/sponsorship assumption and other immigration support are not available for this position. This role plays a pivotal part in ensuring the security, efficiency, reliability, and scalability of our cloud infrastructure and related operations. ESSENTIAL JOB RESPONSIBILITIES & KEY PERFORMANCE OUTCOMES - Primary responsibility will be to architect, implement, and optimize cloud-based solutions while leveraging industry best practices. - Provide mentorship and guidance to junior engineers and drive continuous improvement and innovation across our CloudOps and DevOps practices. - Collaborate closely with cross-functional teams to design and deploy robust, automated systems that support our organization's mission-critical applications and services. - Monitor and maintain the health of our cloud environment, identifying and resolving issues proactively to minimize downtime and incidents. REQUIRED SKILLS & EXPERIENCE Required: - Masterful understanding of advanced Kubernetes technologies and ability to design and diagnose production grade deployments at scale. - Proven AWS cloud experience with Azure and GCP being a bonus. - Infrastructure as Code (IaC) experience with Terraform and/or AWS CloudFormation. - Containerization experience with the docker ecosystem and related tooling. - Production grade coding experience with languages such as Bash, Python and Golang for scripting and automation of services. - Understanding of advanced AWS networking technologies such as VPC, TGW related technologies. - A solid grasp of cloud security and best practices and an understanding of compliance standards such as HIPAA and HITRUST. GENERAL COMPETENCIES Required: - Strong collaboration and communication skills. - Ability to design and present complex topics to the team. - Adept at critical thinking and problem solving. ***The US base salary range for this full-time position is: $125,241.00 - $187,862.00 The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. Please note that the compensation details listed in US role postings reflect the base salary only, and does not reflect the value of the total rewards compensation. *** Lyric is an Equal Opportunity Employer that strives to create an inclusive environment, empower employees and embrace collaborative success.