Attune
What's your favorite small business? Is it the pizza spot down the street? Maybe it's your local main street store? No matter what it is, all of them need an insurance policy to protect them from risk. The process to get a policy is complex, stressful, and long, and there's a lot of opportunity to improve it. That's where we come in.
Attune is using data and technology expertise to understand risk, automate legacy processes, and create a better user experience for brokers. In an industry that usually takes weeks or months to provide a policy, we’re proud to provide policies that are more applicable and more transparent in just minutes.
Simply put, we’re pushing small business insurance into the future, focusing on accuracy, speed, and ease.
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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.
Ready to apply?
Apply to Attune
Position Summary
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.
The Data Scientist develops predictive models, explores new data sources, and generates actionable insights that support pricing, underwriting, claims management, and operational efficiency. This role also contributes 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.
Essential Duties and Responsibilities
- 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.
Qualifications
Education & Experience
- 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.
Knowledge, Skills, and Abilities
- 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.
Preferred Qualifications
- Experience working with Property & Casualty (P&C) insurance data, including underwriting, claims, or pricing analytics.
- Familiarity with advanced statistical techniques such as Bayesian modeling or hierarchical models.
- Experience with MLOps frameworks, model deployment pipelines, and model monitoring tools.
- Experience working in cloud data environments (AWS, GCP, Azure).
- Familiarity with data engineering concepts, including ETL pipelines and data warehouse architectures.
- Experience conducting experiments or A/B testing to evaluate business initiatives.
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 $150,000, with the opportunity to earn an annual bonus of up to 15% of the base salary.
Ready to apply?
Apply to Attune
About Attune
Attune streamlines small business insurance by replacing manual, antiquated workflows with data-driven automation. Traditional commercial insurance requires extensive documentation and month-long lead times; our platform delivers precise, transparent coverage for Main Street businesses in minutes.
By leveraging advanced data science and automating legacy underwriting processes, we empower brokers to provide immediate value to their clients. Attune is digitizing a multi-billion dollar industry with a focus on accuracy, speed, and operational excellence.
Our commitment to innovation and culture has consistently earned Attune recognition on premier workplace award lists. We are building a diverse team of curious, motivated professionals dedicated to architecting the future of insurance.
As a Senior Product Manager at Attune, you will lead the strategy, development, and execution of products across the Attune platform. You will be the primary driver of customer value, translating complex market needs into high-impact features that power insurance access for small businesses nationwide.
This senior-level role focuses specifically on Attune’s proprietary insurance products. You will partner with our underwriting team and carrier partners to ensure new offerings maintain rigorous compliance and underwriting integrity while providing a frictionless user experience. You will own the product lifecycle from initial discovery to market launch, iterating rapidly based on quantitative feedback and managing high-level stakeholders across the organization.
This role offers the option to be hybrid (Dallas, Denver, New York City, Omaha) or fully remote. Remote team members must reside and work within the United States and maintain access to reliable, high-speed internet.
Ready to apply?
Apply to Attune