Quanata

• Implement AWS cloud standards for infrastructure, networking, and software components, optimizing for security, speed, and cost-efficiency. • Support new technologies to stay ahead of the needs of the business. • Collaborate with development teams to ensure their applications are optimized for deployment in an IaC environment, and meet security and compliance requirements. • Support and maintain automation and deployment processes to enable and improve developer experience and efficiency. • Support our pattern libraries for IaC to enable developers to “plug-and-play” to build out their own environments. • Support monitoring and logging solutions to allow development teams to assure their platform is performing at its best. • Encourage developer autonomy and self-service by contributing to developer training and documentation for Platform products. • Promote a supportive culture focused on building reliable systems and processes based on established best practices in the industry. • Troubleshoot and resolve issues in AWS, including security, performance and scalability issues. • Support our security and compliance measures to ensure the AWS services meets regulatory requirements. • Participate in on-call rotation to provide support for internal developer services.

Role Description We’re looking for a Senior Data Engineer with a specialty in MLOps Engineering that can help drive the organization toward model development and delivery best practices. You will help shape and implement automation across the machine learning lifecycle from data collection to model training to model monitoring. In this high impact role, you will partner with both data engineers focused on data science service delivery and data scientists to develop a robust platform that shortens the time to market of new data science models at Quanata. Your day-to-day - Operationalize key data science solutions that enable risk‑prediction products across underwriting, pricing, claims routing, and marketing. - Design and build ML pipelines using industry best practices, primarily leveraging AWS services like SageMaker, and integrating with tools such as MLflow for experiment tracking and data platforms like Snowflake. - Stand‑up and operate a shared feature store (Snowflake Snowpark + Kafka) that supports both batch and real‑time feature retrieval. - Own real‑time inference services, exposing low‑latency endpoints (SageMaker endpoints or EKS micro‑services) and managing blue/green or canary deployments. - Implement comprehensive testing strategies (including Unit, integration, data validation, model validation, and performance testing) within robust CI/CD pipelines to maintain high platform quality. - Enable ML Governance: Manage ML models and data versioning, experiment tracking, and reproducibility. - Implement event‑driven orchestration that triggers automated retraining, evaluation, and redeployment based on data drift or business events. - Monitor production models for performance, drift, and data quality—and drive automated remediation. Qualifications - Bachelor degree or equivalent relevant experience. - 8 years of industry experience with 2 years focused in MLOps and 2 years in software engineering or equivalent experience. - Comprehensive experience in Python and Docker. Familiarity with build tooling such as Bash and Bazel. - Advanced proficiency in IaC principles and tools like Terraform. - Demonstrated expertise in designing, deploying, and managing scalable and resilient MLOps solutions on AWS. - Applied expertise in the end-to-end machine learning lifecycle, including data ingestion, preprocessing, model training, deployment, and production monitoring. - Excellent written and verbal communication with a strong collaborative focus. - Proficiency in designing and implementing workflows using tools like AWS Step Functions. - Experience with CI/CD tailored for machine learning systems (e.g., automating model training, validation, and deployment). Bonus points - Experience in designing and developing large-scale distributed systems, complex APIs, or contributing significantly to platform-level software engineering projects. - Proficiency in utilizing Snowflake's advanced capabilities for ML, such as Snowpark for Python/Java/Scala development, creating and managing user-defined functions (UDFs) for in-database scoring, or integrating directly with external model training and serving platforms. - Prior experience working within the insurance industry or another highly regulated environment, demonstrating an understanding of pertinent regulatory, security, and data governance challenges. Salary $213,000 to $300,000* *Please note that the final salary offered will be determined based on the selected candidate's skills, and experience, as well as the internal salary structure at Quanata. Our aim is to offer a competitive and equitable compensation package that reflects the candidate's expertise and contributions to our organization. Benefits - We provide a wide variety of health, wellness and other benefits. These include medical, dental, vision, life insurance and supplemental income plans for you and your dependents, a Headspace app subscription, monthly wellness allowance and a 401(k) Plan with a company match. - Given our virtual environment— in order to set you up for success at home, a one-time payment of $2K will be provided to cover the purchase of in-home office equipment and furniture at your discretion. Also, our teams work with MacBook Pros, which we will deliver to you fully provisioned prior to your first day. - All employees accrue four weeks of PTO in their first year of employment. New parents receive twelve weeks of fully paid parental leave which may be taken within one year after the birth and/or adoption of a child. The twelve weeks is applicable to both birthing and non-birthing parent. - We’re committed to investing in and helping our people grow personally and professionally. All employees receive up to $5000 each year for professional learning, continuing education and career development. All team members also receive LinkedIn Learning subscriptions and access to multiple different coaching opportunities through BetterUp. Location We are a remote-first company for most positions so you may work from anywhere you like in the U.S, excluding U.S. territories. For most positions, occasional travel may be requested or encouraged but is not required. Some positions might require travel per the job description provided to the employee. Employees based in the San Francisco Bay Area or in Providence, Rhode Island may commute to one of our local offices as desired. Hours We maintain core meeting hours from 9AM - 2PM Pacific time for collaborating with team members across all time zones. Equal Opportunity Statement Quanata, LLC is an equal opportunity workplace. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

• The SDET, Backend will ensure that API components of the backend work according to customer needs • Specific duties include: follow agile methodologies and participate in scrum meetings and software quality audits for all the phases of SDLC • Responsible for test creation, testing a large module or a large component and designing a feature, set of features, or whole feature area • Perform business requirement analysis by thoroughly understanding Project Design Document and Business Requirement Document • Develop scalable and robust test automation frameworks and scripts using Python, Pytest, BDD frameworks, and PyCharm • Execute integration, regression, and performance testing using industry standard tools • Research new or better alternate automated testing tools • Extensively use TestRail Test Management tool or equivalent to maintain the test suites, manage the automation test results and analyze the test failures • Work independently and collaborate across teams to drive quality initiatives and lead detailed software quality discussions • Demonstrate clarity of thought designing end to end test scenarios to work through limited information and vague problem definitions • Mentor other quality engineers • Other duties as assigned.

• Partner with Product and Engineering teams to integrate security into application design and development. • Lead threat modeling exercises and identify practical security solutions for complex systems. • Conduct secure code reviews, application security assessments, and vulnerability analysis. • Develop and implement automated security guardrails across the SDLC. • Investigate, prioritize, and drive remediation of application security findings. • Promote secure coding practices through training, coaching, and awareness initiatives. • Collaborate with Security, Privacy, and Business Assurance teams to support compliance and risk management objectives. • Create and maintain security standards, procedures, and best practices that scale across teams.

• Own production health, reliability, and operational support processes across critical systems and services. • Lead incident response efforts, stakeholder communication, root cause analysis, and post-incident reviews. • Identify patterns in production issues and drive improvements to reduce recurring incidents and operational overhead. • Design and implement AI-driven agents and workflows that automate support and operational tasks. • Partner with engineering, product, and AI orchestration teams to improve system resilience and operational efficiency. • Build and maintain operational runbooks, documentation, and knowledge base content for both human and AI-assisted workflows. • Support observability, monitoring, and troubleshooting efforts across cloud-based production environments. • Participate in on-call rotations and continuously improve operational readiness and response processes.

• Lead the vision, strategy, roadmap, and performance of the product portfolio. • Partner with executive and cross-functional leaders to translate company priorities into focused product initiatives. • Oversee product lifecycle management, including customer discovery, prioritization, roadmap planning, and launch readiness. • Establish and continuously improve the product operating model. • Use customer insights, direct client feedback, market intelligence, competitive analysis, and business performance data to identify opportunities for growth. • Collaborate closely with Technology, Data, Operations, and other business leaders to ensure product strategy is effectively delivered and operationalized. • Lead, coach, and develop a high-performing product organization. • Communicate product strategy, priorities, tradeoffs, risks, and performance clearly to senior leadership and stakeholders. • Define and track product success measures. • Make clear portfolio tradeoffs, including when to invest, pause, simplify, or sunset products or initiatives.

• Partner with leaders to align People strategies with team and business goals • Coach managers through performance conversations, feedback, development, and team dynamics • Lead complex employee relations matters, investigations, and conflict resolution efforts • Drive initiatives focused on engagement, retention, culture, and organizational effectiveness • Use people data and trends to identify opportunities and guide decision-making • Support change management efforts across evolving teams and business priorities • Partner cross-functionally on learning and development initiatives that support career growth • Help ensure People practices remain compliant, fair, and aligned with company values.

• Collaborate closely with Engineering, Data Science, and domain leads on detailed, complex requirements, bringing a solid technical understanding to every discussion. • Navigate high-ambiguity discovery across multiple workstreams; masters advanced qualitative and quantitative frameworks to disprove assumptions early and pivot the team toward the highest-value opportunities. • Manage scope, balance trade-offs, define goals, set priorities, and oversee the feature backlog from story creation through acceptance across Agile Scrum and Kanban methodologies. • Evaluate off-the-shelf solutions and make well-reasoned build vs. buy recommendations to optimize delivery and cost. • Facilitate development efforts, timelines, and deliverables across product owners, project managers, program managers, and scrum masters. • Drive technical design discussions, understand dependencies, and communicate requirements to your team while weighing performance, scalability, and security implications. • Set day-to-day priorities for your team, ensuring execution stays tightly aligned with strategic objectives. • Make and communicate decisions based on data and evidence, championing a culture of measurement and data collection within your team. • Communicate strategy, priorities, and the product roadmap to all relevant participants and stakeholders. • Work with multidisciplinary teams to prototype, test, learn, and deliver architecturally sound products and services.

• Bring order to chaos by building, implementing, and sustaining right-sized processes that empower the organization through clear workflows, communications, and reporting. • Support organizational leaders in building effective goals (OKRs) and partner with cross-functional leads to break work into portfolios, programs, and workstreams. • Ensure vertical and horizontal alignment and transparency at the appropriate level at the right time across all programs, projects, and services. • Guarantee execution against the highest level goals by driving program and project teams to hit expected delivery goals (OKRs). • Facilitate governance across their teams, with minimal guidance implement known governance processes and patterns, and manage escalations end-to-end. • Drive organizational change across large teams through independent identification and execution of process improvements. • Tackle volatile, uncertain, complex, and ambiguous challenges by driving planning cycles and ensure clarity of goals, schedules, milestones, and risks. • Provide program management direction within assigned programs, projects, and services. • Collaborate effectively with all cross-functional colleagues and stakeholders.

• Drive the successful execution of Enterprise projects, utilizing strong project management capabilities to ensure on-time and within-budget delivery, along with proactive risk management. • Administer and maintain the Enterprise network and VPN infrastructure. • Develop and implement automated solutions to replace manual operational tasks. • Contribute specialized technical knowledge to organization-wide initiatives, solving complex problems with creative and effective strategies. • Partner with diverse stakeholders to verify that Enterprise applications comply with established standards and security protocols. • Create, document, and maintain clear team processes and workflows to ensure smooth day-to-day operations. • Participate in an on-call rotation.