Senior Software Engineer

🕒 May 6

🏢🏡 Boston – Hybrid

💵 $125k - $150k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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Verisk

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1971

💰 $500M Post-IPO Debt on 2023-03

Insurance • Data Analytics • Risk Management

Verisk is a company that specializes in providing advanced data analytics, technology, and scientific research to the global insurance industry. It delivers solutions across various insurance sectors such as Property & Casualty, Life and Annuities, Reinsurance, and Specialty Markets, helping clients to assess and price risks with speed and precision. Verisk's offerings include underwriting and rating support, claims management, compliance, catastrophe risk modeling, and insights into extreme event risks. Additionally, Verisk serves other industries such as construction, real estate, and transportation by offering data-driven insights and solutions for risk assessment and business optimization, while also contributing to sustainability and resilience initiatives through its research and analytics.

📋 Description

• Design, build, and deploy machine learning models and AI-powered features into production SaaS products • Maintain scalable data pipelines for ingestion, transformation, and enrichment of large, complex datasets • Develop model-serving infrastructure using AWS SageMaker, Lambda, and container-based deployment patterns • Apply LLM integrations, RAG architectures, and generative AI capabilities where appropriate to enhance product functionality • Own data quality, observability, and monitoring for AI/ML workloads in production • Lead the design and implementation of cloud-native microservices and APIs (Python, C#/.NET) on AWS • Drive best practices in design, code quality, and system design across the team • Contribute to all stages of the SDLC: requirements review, design, development, testing, and deployment • Conduct code reviews and mentor team members on engineering standards • Proactively identify technical risks and communicate them early to course-correct • Participate in roadmap planning, scoping, and technology feasibility assessments • Contribute to a culture where solving customer problems is always the highest priority

🎯 Requirements

• B.S. in Computer Science, Mathematics, Statistics, or a related quantitative field; M.S. or Ph.D. preferred • 5+ years of software engineering experience, with at least 2 years in a senior or lead role on cloud-native AWS products • Strong Python skills for data engineering, ML pipelines, and API development • Hands-on experience with ML frameworks such as scikit-learn, PyTorch, TensorFlow, or XGBoost • Experience building and deploying production ML systems — model training, evaluation, versioning, and serving • Proficiency with AWS data and AI services: SageMaker, S3, Glue, Athena, Lambda, EC2, CloudWatch • Experience with data pipeline tooling: Apache Spark, Airflow, dbt, or equivalent • Solid understanding of data modeling, SQL, and working with large-scale databases (PostgreSQL, MSSQL, or similar) • Strong grasp of software engineering fundamentals: CI/CD, DevOps, testing, and system design • Familiarity with REST API design, microservices, and containerization (Docker, Kubernetes) • Experience with Agile development methodologies • Nice to Have: Experience with LLMs, prompt engineering, or RAG (Retrieval-Augmented Generation) systems • Familiarity with MLflow, Weights & Biases, or other ML lifecycle management tools • AWS Certification (Machine Learning Specialty, Solutions Architect, or equivalent) • Experience with geospatial data, catastrophe modeling, or climate/weather datasets • Full-stack experience with Angular or React and .NET Core • Background in the insurance, reinsurance, or financial services industries

🏖️ Benefits

• Health Insurance • a Retirement Plan • Disability benefits • Paid Time Off