Quantiphi

• Design, develop, and maintain scalable data pipelines using Databricks and Apache Spark. • Build and optimize ETL/ELT workflows to ingest, transform, and curate large datasets. • Implement data solutions following Medallion Architecture (Bronze, Silver, Gold). • Develop high-performance PySpark and Spark SQL transformations. • Optimize Delta Lake tables using partitioning, optimization, vacuuming, and time travel capabilities. • Orchestrate and monitor Databricks Workflows and scheduled jobs. • Collaborate with analytics, engineering, and product teams to deliver reliable data products. • Apply software engineering best practices, including version control, automated testing, and CI/CD. • Utilize AI-assisted development tools for code generation, debugging, documentation, and productivity while validating outputs to ensure quality and accuracy. • Contribute to data quality, performance tuning, and operational excellence across the platform.

• Lead Enterprise EKS Audit • Architect a strategic consolidation plan • Serve as the technical authority on CNI & Service Mesh • Design and establish the standardized 'Golden Cluster' architecture • Architect disaster recovery and CI/CD infrastructure • Establish Zero-Trust Security Postures

• Quantiphi is seeking a Senior Software Developer to design and build scalable, high-performance web applications using a modern Java-based stack. • Design, develop, test, and deploy scalable full stack applications using Java, Spring Framework, jQuery, React and SQL. • Build and maintain backend services and APIs with a focus on performance, security, and scalability. • Develop responsive, user-friendly front-end components leveraging modern JavaScript practices. • Collaborate with cross-functional teams including product managers, data engineers, and designers to deliver high-quality solutions. • Optimize database performance and write efficient queries across relational databases. • Participate in code reviews and contribute to best practices in coding, architecture, and design. • Support CI/CD pipelines and contribute to improving deployment processes. • Contribute to automated testing strategies and improve overall code quality. • Mentor junior developers (Senior level) or actively learn and grow within the team (Intermediate level).

• Define the program's strategic objectives in collaboration with client stakeholders. • Develop and manage the integrated program plan, aligning technical requirements with business priorities, team capacity, and project timelines. • Architect, implement, and manage Agile framework for the program. • Establish and facilitate the program's cadence, including Program Increment (PI) Planning, Scrum of Scrums, and cross-pillar synchronization meetings. • Lead the end-to-end Program Increment Planning process, from preparation and readiness to facilitation and follow-up, ensuring the creation of a committed and aligned plan for the Agile Release Train. • Proactively identify, track, and drive the resolution of program-level risks and cross-team dependencies to ensure a smooth flow of value delivery. • Provide expert guidance, mentorship, and coaching to Scrum Masters and agile teams. • Serve as the primary point of communication for program status, progress, and metrics.

• Champion and facilitate all scrum ceremonies, ensuring they are productive, time-boxed, and contribute to the team's goals. • Act as the primary liaison between the agile squad and application owners. • Coach the team on agile principles and practices, promote transparency on progress and impediments. • Proactively identify and surface risks, dependencies, and gaps through offline working sessions and continuous collaboration. • Ensure the accuracy and integrity of team artifacts, including Jira boards, dashboards, and sprint reports.

• Conduct comprehensive organizational impact analyses to understand how the cloud migration will affect various user groups, processes, and roles. • Use findings to develop a tailored and strategic change management plan. • Design and execute a multi-channel strategic communications plan to build awareness, manage expectations, and keep all stakeholders informed of progress, timelines, and key decisions. • Develop a holistic training and enablement strategy. Design, create, and deliver user-facing training materials and support documentation to ensure users are proficient and confident with new systems and processes. • Identify key stakeholders across the organization, analyze their needs and develop targeted engagement plans to build a strong support for the program. • Work with technical teams to assess organizational readiness for migration waves. Develop and track key metrics to measure the effectiveness of change initiatives and report on adoption progress to program leadership.

• Lead strategic discussions with client stakeholders to define the end-to-end migration roadmap, including target state architecture, cloud platform selection, and integration patterns. • Conduct comprehensive assessments of the existing on-premise VMware infrastructure to identify architectural challenges, inter-dependencies, and potential migration risks, providing expert recommendations for mitigation. • Establish and govern a set of cloud architecture principles and migration best practices. Author and maintain technical design documents that enforce security, scalability, and operational excellence. • Design and implement robust cloud network and security frameworks, integrating solutions like Palo Alto to protect migrated workloads and ensure seamless connectivity between on-premise and cloud environments. • Actively participate in and oversee the hands-on execution of migrating virtual machines and complex application workloads to the designated public cloud platforms (ROSA, AWS, Azure, GCP).

Role Description We are seeking a highly experienced Senior DevOps/Observability Engineer with over 8 years of experience to lead the design and implementation of our next-generation, unified observability platform. This pivotal role will focus on architecting a sophisticated observability pipeline from the ground up, leveraging a modern, open-source-centric stack on Amazon Web Services (AWS). The ideal candidate will have deep expertise in designing and deploying observability solutions, with a strong emphasis on OpenTelemetry (OTel) and Kubernetes observability. You will be responsible for deploying, configuring, and integrating a suite of tools including Prometheus, Grafana, and Splunk to provide comprehensive insights into our complex, distributed systems. This is a hands-on role for a technical leader who is passionate about building scalable, reliable, and efficient monitoring and logging systems. Qualifications - Unified Pipeline Architecture: Proven ability to design and implement end-to-end observability pipelines using OpenTelemetry, Prometheus, and Grafana on centralized infrastructure. - Cross-Account AWS Observability: Deep expertise in centralizing AWS telemetry, including multi-account CloudTrail organization trails, cross-account CloudWatch metrics/logs, and VPC Flow Logs. - Log Aggregation & Routing: Strong experience designing log aggregation strategies, implementing noise reduction/filtering at the collector level, and configuring Splunk HTTP Event Collector (HEC) integrations. - Advanced Alerting & Dashboarding: Hands-on experience building comprehensive alerting frameworks using Alertmanager and CloudWatch Alarms, coupled with advanced dashboard engineering in Grafana (using PromQL). - Infrastructure as Code (IaC): Advanced proficiency in writing Terraform modules specifically for deploying and managing observability stacks and EC2 infrastructure. Requirements - Enterprise Scale Log Management: Demonstrated experience managing, routing, and optimizing log pipelines at massive scale (TB/day). - Kubernetes/Container Observability: Experience deploying Prometheus and OTel within Kubernetes (EKS) or containerized (ECS) environments. - Cost Optimization: Proven track record of reducing observability spend through strategic metric dropping, log filtering, and efficient storage tiering. Benefits - Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale. - Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges. - Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents. - Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling. - If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

• Provide high-level functional guidance on P&C product development, underwriting, and claims optimization for both personal and commercial lines • Lead/Advise on the implementation and migration of core insurance platforms (e.g., Guidewire, Duck Creek, or proprietary systems), ensuring business requirements align with technical capabilities • Ensure products and processes comply with California-specific mandates, including wildfire mitigation pricing, Prop 103 requirements, and CDI rate-filing changes • Map "As-Is" vs. "To-Be" business workflows to eliminate operational friction and improve the Combined Ratio • Evaluate and integrate emerging Insurtech solutions, focusing on AI-enabled straight-through processing (STP) and advanced catastrophe (CAT) response modeling • Translate complex insurance concepts into actionable technical specifications for engineering teams and present strategic roadmaps to executive leadership

• Design and build scalable full stack applications using React, TypeScript, and Next.js on the frontend and Python (FastAPI) and/or Node.js on the backend • Architect and maintain RESTful APIs and microservices with strong versioning, backward compatibility, and API-first design principles • Develop distributed systems leveraging event-driven architectures, messaging systems (Kafka, Pub/Sub), and asynchronous processing • Build and integrate LLM-powered applications, including RAG pipelines, agentic workflows, and tool-calling frameworks (LangChain, LangGraph) • Collaborate with AI/ML teams to integrate model serving platforms and orchestrate multi-agent systems • Implement real-time capabilities using WebSockets, Server-Sent Events (SSE), or streaming frameworks • Ensure high-quality engineering standards across testing (TDD/BDD), CI/CD pipelines, and infrastructure-as-code • Deploy and manage cloud-native applications on GCP and/or Azure, leveraging Docker and Kubernetes • Champion observability and monitoring using logging, metrics, and tracing (e.g., OpenTelemetry) • Build developer-friendly tools including SDKs, documentation, and API portals • Mentor engineers and contribute to system design, architecture reviews, and best practices