Attune Insurance

• Design, implement, and manage cloud infrastructure primarily within AWS • Lead the implementation and maintenance of infrastructure using Terraform or similar tools • Develop and maintain automation scripts (Python, Bash, or Go) • Manage and optimize containerized application environments using Docker and orchestration platforms • Design and support CI/CD pipelines • Implement and manage modern observability frameworks • Monitor system capacity and performance • Enforce infrastructure security best practices • Partner with leadership to monitor cloud spend • Troubleshoot complex infrastructure-related issues • Maintain high-quality technical documentation

Title: Senior Underwriter Location: Remote Job Description: At Attune, we're changing small business insurance in a big way. Small business owners need insurance to protect their businesses, but when it comes time to get a policy, they’re bogged down by hundreds of questions, lots of paperwork, and a seemingly never-ending timeline stretching for weeks or months. We are changing all that. By using data and technology expertise to understand risk, automating legacy processes, and creating a better user experience for brokers, we’re able to provide policies that are more applicable and more transparent in just minutes. Simply put, we’re pushing insurance into the future, focusing on accuracy, speed, and ease. Our mission and our team are growing. In staying true to our values, we’ve earned our spot on many workplace award lists. Attune is dedicated to creating a diverse team of curious, focused, and motivated people who are excited about changing the future of an entire industry. General Purpose: Utilize underwriting expertise, communication and problem-solving skills to create a preeminent experience for our customers, while ensuring that workers’ compensation insurance policies are underwritten profitably, fairly and accurately. Essential Duties / Responsibilities: - Product Expertise - Apply comprehensive Workers Compensation knowledge to review applications and policies, ensuring that exposures are classified correctly and accurately priced, while following appropriate state rules (NCCI or independent bureau states) and statutes. - Maintain a deep understanding of Workers Compensation Insurance, staying current with industry trends, regulations, and best practices. - - Customer & Agent Advocate - Educate and guide customers and agents through the complicated world of workers’ compensation insurance, ensuring that their policy is written accurately and, just as importantly, that they understand it. - Partner with agents to identify and implement opportunities to grow with us. - - Innovator - Collaborate with our cross functional team to identify and share customer pain points, helping drive solutions that decrease cost, continually improve customer satisfaction that aligns with our philosophy of any easy, straight through experience for our agents. - Assist with continually improving internal processes with a strong emphasis on Lean methodology and philosophy. - - Decision Scientist - Apply data analytics and pricing tools to appropriately price workers’ compensation policies and identify actionable insights for customers. - Utilize workers’ compensation knowledge to review applications and policies, ensuring that exposures are classified correctly and accurately priced, while following NCCI rules and state statutes. - - Sales Executive - Drive new business growth by leveraging sales techniques to build strong relationships with partners, customers, and agents, guiding them effectively through the sales process. - - Additional Duties: - Participate in MGA launch activities, to ensure continued profitable growth and smooth transition to “steady state”. - Participate in customer worksite visits, agency visits and other key business meetings. - Serve as a trusted underwriting expert on projects and committees throughout the organization. - Perform other duties as assigned. - Minimum Qualifications: - In addition to the competencies outlined below, a successful candidate will have two or more years previous experience working directly with customers and be comfortable operating in a sales environment. Bilingual is a plus. Five or more years workers’ compensation underwriting experience required. - Competencies: - Interactive Communication - Communicates complex issues clearly and credibly with widely varied audiences; overcomes resistance and secures support for ideas or initiatives through high-impact communication - Strategic Thinking - Systematically solves problems and anticipates customer pain points, expectations and needs; collaborates with team members to devise solutions to solve complex challenges - Impact and Influence - Uses rational and emotional approaches to comfortably drive negotiation with customers and agents - Initiative - Goes out of the way to complete a job; has a relentless drive to achieve results - Customer Focus - Genuinely cares about our customers; empathizes with individuals of all backgrounds and situations, with a positive, solution-oriented mindset - Expertise - Independently navigates high complexity underwriting scenarios and key stakeholder relationships - Developing Others - Enthusiastically provides formal mentorship for team members seeking to grow their underwriting expertise - What We Offer: - Flexible PTO - Generous parental and caregiver leave - 401K match - Excellent medical, dental, and vision plans - Remote-first culture - Annual $1000 tuition reimbursement stipend - And more! -

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Infrastructure Engineer is responsible for designing, implementing, and managing the cloud infrastructure and platform services that power the Company’s applications, data systems, and internal tools. This role helps ensure systems are secure, reliable, and scalable to support ongoing business operations and growth. Working closely with engineering, data, and product teams, the Infrastructure Engineer assists with managing cloud environments, automating infrastructure provisioning, supporting application deployments, and monitoring system performance. This role contributes to maintaining stable technology platforms and improving infrastructure processes that support the Company’s products and services. Qualifications - Bachelor's degree in computer science, Information Systems, Engineering, or a related field preferred. Equivalent practical experience may be considered. - 3–5 years of experience in infrastructure engineering, DevOps, systems engineering, or related technology roles. - Proven experience managing production-grade AWS environments. - Strong hands-on experience with Terraform (module development and state management). - Experience managing Linux-based systems at scale (Ubuntu, Amazon Linux, or RHEL). - Direct experience building and maintaining CI/CD pipelines (e.g., GitHub Actions, GitLab CI, or Jenkins). Requirements - Deep understanding of AWS networking (VPC, Peering, Transit Gateways) and security groups. - Proficiency in Docker; experience with Kubernetes (EKS) is highly desirable. - Proficiency in at least one scripting language (Python preferred). - Expert knowledge of Git-based workflows. - Strong analytical skills with the ability to troubleshoot complex, distributed systems. - Excellent verbal and written communication skills with the ability to explain technical concepts to non-technical stakeholders. Benefits - Flexible PTO - Generous parental and caregiver leave - 401K match - Excellent medical, dental, and vision plans - Remote-first culture - Annual $1000 tuition reimbursement stipend - And more! Company Description The expected annual salary for this position is between $120,000 and $140,000, with the opportunity to earn an annual bonus of up to 15% of the base salary.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Data Scientist is responsible for applying advanced analytics, statistical modeling, and machine learning techniques to support strategic decision-making across the organization. This role partners closely with stakeholders in Underwriting, Actuarial, Claims, Product, Revenue, and Customer Experience to translate business questions into analytical solutions that improve operational performance, risk evaluation, and customer outcomes. - Develop predictive models, explore new data sources, and generate actionable insights that support pricing, underwriting, claims management, and operational efficiency. - Contribute to the development and operationalization of models and analytics solutions by working with engineering and product teams to integrate insights into business tools, dashboards, and workflows. Qualifications - Bachelor's degree in data science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field required. - Advanced degree (MS or PhD) preferred. - 3 - 7 years of experience in data science, advanced analytics, or statistical modeling roles. - Experience working with large datasets and complex analytical problems. - Strong programming skills in Python and SQL. - Experience with statistical modeling and machine learning techniques. - Experience with data visualization and analytical tools (e.g., Tableau, Power BI, Looker, or similar). - Ability to translate complex analytical findings into clear business insights. - Strong problem-solving and critical thinking skills. - Ability to collaborate effectively with both technical and non-technical stakeholders. Requirements - Partner with stakeholders across Underwriting, Actuarial, Claims, Product, and Revenue to identify opportunities where data can inform better business decisions. - Translate business questions into analytical frameworks, hypotheses, and statistical approaches. - Analyze customer, broker, and operational data to identify trends, anomalies, and opportunities to improve engagement, retention, and operational performance. - Conduct exploratory data analysis to investigate business problems and generate actionable insights. - Communicate analytical findings through visualizations, dashboards, and written summaries. - Develop predictive models and statistical analyses to support pricing, underwriting, claims, reserving, and operational initiatives. - Apply machine learning techniques including regression, classification, clustering, and other statistical learning methods to solve complex business problems. - Evaluate model performance and continuously improve models based on new data and changing business needs. - Explore internal and third-party data sources to enhance model performance and uncover new insights. - Collaborate with engineering and product teams to deploy analytical models into production systems and operational workflows. - Support the implementation of MLOps practices, including model versioning, deployment pipelines, monitoring, and lifecycle management. - Monitor models for performance degradation, bias, or drift and implement improvements as needed. - Document model assumptions, methodology, and validation processes to support transparency and governance. - Contribute to the improvement of internal data infrastructure, ETL pipelines, and reporting architecture. - Support the development and optimization of dashboards and analytics tools used by business teams. - Ensure data quality, consistency, and reliability across analytical workflows. - Identify opportunities to automate recurring analyses and reporting processes. - Work closely with business stakeholders to ensure analytics solutions align with operational needs and strategic objectives. - Partner with product and engineering teams to integrate analytical capabilities into internal platforms and decision tools. - Provide analytical support for ad-hoc requests and strategic initiatives. - Other duties as assigned. Benefits - Flexible PTO - Generous parental and caregiver leave - 401K match - Excellent medical, dental, and vision plans - Remote-first culture - Annual $1000 tuition reimbursement stipend - And more!

Position Summary The Infrastructure Engineer is responsible for designing, implementing, and managing the cloud infrastructure and platform services that power the Company’s applications, data systems, and internal tools. This role helps ensure systems are secure, reliable, and scalable to support ongoing business operations and growth. Working closely with engineering, data, and product teams, the Infrastructure Engineer assists with managing cloud environments, automating infrastructure provisioning, supporting application deployments, and monitoring system performance. This role contributes to maintaining stable technology platforms and improving infrastructure processes that support the Company’s products and services. Essential Duties and Responsibilities - Cloud Architecture: Architect and manage scalable, secure, and highly available cloud infrastructure primarily within Amazon Web Services (AWS), including EC2, RDS, S3, VPC, and IAM. - Infrastructure-as-Code (IaC): Lead the implementation and maintenance of infrastructure using Terraform or similar tools, ensuring all environments are version-controlled and reproducible. - Automation & Scripting: Develop and maintain automation scripts (Python, Bash, or Go) to eliminate manual tasks and improve operational efficiency. - Containerization: Manage and optimize containerized application environments using Docker and orchestration platforms (e.g., Kubernetes or AWS ECS). - CI/CD Pipeline Management: Design and support robust Continuous Integration and Continuous Deployment (CI/CD) pipelines to automate application releases and reduce deployment risk. - Observability & Reliability: Implement and manage modern observability frameworks (logging, metrics, and tracing) to proactively monitor system health and performance. - Performance Engineering: Monitor system capacity and performance, performing right-sizing exercises and scaling configurations to meet business growth. - Security & Compliance: Enforce infrastructure security best practices, including access control (Least Privilege), network hardening, and automated vulnerability scanning. - FinOps & Cost Control: Partner with leadership to monitor cloud spend and implement cost-optimization strategies. - Incident Response: Troubleshoot complex infrastructure-related issues and participate in a blameless post-mortem culture to prevent recurrence. - Documentation: Maintain high-quality technical documentation for infrastructure designs, standard operating procedures, and disaster recovery plans. - On-Call Support: Participate in an on-call rotation to ensure the 24/7 reliability of production systems. - Other duties as assigned. Qualifications Education Bachelor's degree in computer science, Information Systems, Engineering, or a related field preferred. Equivalent practical experience may be considered. Experience - 3–5 years of experience in infrastructure engineering, DevOps, systems engineering, or related technology roles. - Proven experience managing production-grade AWS environments. - Strong hands-on experience with Terraform (module development and state management). - Experience managing Linux-based systems at scale (Ubuntu, Amazon Linux, or RHEL). - Direct experience building and maintaining CI/CD pipelines (e.g., GitHub Actions, GitLab CI, or Jenkins). Knowledge, Skills, and Abilities - Cloud Proficiency: Deep understanding of AWS networking (VPC, Peering, Transit Gateways) and security groups. - Container Mastery: Proficiency in Docker; experience with Kubernetes (EKS) is highly desirable. - Scripting: Proficiency in at least one scripting language (Python preferred). - Version Control: Expert knowledge of Git-based workflows. - Problem Solving: Strong analytical skills with the ability to troubleshoot complex, distributed systems. - Communication: Excellent verbal and written communication skills with the ability to explain technical concepts to non-technical stakeholders. Preferred Qualifications - Experience with Serverless architectures (AWS Lambda, Fargate). - AWS Certified Solutions Architect or SysOps Administrator certification. - Experience with Data Infrastructure (managing Snowflake, Redshift, or Kafka clusters). - Familiarity with container orchestration technologies such as Kubernetes or ECS. Physical Requirements This position primarily operates in a professional office or remote environment and routinely uses standard office equipment such as computers and phones. The ability to remain stationary for extended periods and operate a computer is required. What We Offer: - Flexible PTO - Generous parental and caregiver leave - 401K match - Excellent medical, dental, and vision plans - Remote-first culture - Annual $1000 tuition reimbursement stipend - And more! The expected annual salary for this position is between $120,000 and $140,000, with the opportunity to earn an annual bonus of up to 15% of the base salary.