Top Tech Jobs & Startup Jobs

Design and develop Java Spring Boot backend microservices for a Master Data Management platform, including data ingestion, validation, match-merge, golden records, workflows, REST APIs, and downstream integrations. Build AWS-based processing and orchestration solutions, implement security controls, optimize performance, write tests, support containerized CI/CD deployments, and contribute to architecture, documentation, code reviews, and Agile delivery.

Design and build scalable data solutions on Palantir Foundry, including data ingestion, pipelines, transformations, enterprise data models, and applications supporting analytics and AI/ML use cases. Develop large-scale data platforms using Python, AWS, Snowflake, microservices, distributed systems, Docker, Kubernetes, and CI/CD. Optimize performance and deliver complex solutions in agile environments. Insurance industry experience and Palantir Foundry certification or project experience are preferred.

Scrum Master responsible for Agile delivery across two parallel full-stack development teams. Facilitates Scrum ceremonies, coordinates sprint and release planning, manages dependencies and impediments, tracks Agile metrics, maintains backlogs, coaches teams toward self-organization, and manages stakeholder expectations. The role also administers Jira or Azure DevOps boards and requires strong SDLC knowledge, facilitation skills, and cross-team release coordination experience.

Develop and support high-performance Java and Kafka applications using Spring Boot, microservices, REST APIs, and event-driven architecture. Build Kafka producers, consumers, topics, partitions, and schemas; integrate enterprise systems; optimize availability, resilience, and performance; and work with SQL and NoSQL databases. Collaborate with architects, business analysts, and DevOps teams, contribute to CI/CD and automated testing, provide technical guidance, and help lead solution development and technical teams.

Lead marketing analytics and modeling to grow lending business: design experiments, build and validate campaign pipelines, measure funnel and ROI, manage direct-mail campaign selection and execution, create dashboards and provide data-driven recommendations to marketing and senior leadership.

Serves as the senior authority for life and annuity insurance products, pricing, administration, and operations. Partners with actuarial, finance, product, technology, and carrier-client teams to translate product mechanics and pricing assumptions into administration platforms and servicing models. Oversees configuration, testing, migrations, compliance, and financial accuracy while managing client relationships, supporting commercial engagements, and leading a team of product and pricing specialists.

Designs scalable data solutions, builds and maintains large-scale data pipelines, models enterprise datasets, and enables analytics and AI/ML use cases using Palantir Foundry. The role involves developing Foundry applications and custom TypeScript frontends, integrating AWS data services and machine learning frameworks, optimizing distributed systems, and applying DevOps practices. Candidates should have data engineering, Python, TypeScript, cloud, big data, and Palantir Foundry experience; insurance industry experience and Palantir certification are preferred.

Owns product requirements within an Agile Scrum team by eliciting business needs, mapping processes, documenting functional specifications, writing and prioritizing user stories, coordinating sprint activities, and validating delivered features with QA and business stakeholders. Serves as the customer voice and translates healthcare payment business needs into clear, testable technical requirements.

Leads enterprise Snowflake architecture, Center of Excellence initiatives, governance, security, modernization, and adoption. Designs scalable data platforms, establishes modeling and ELT standards, optimizes performance, and implements Snowflake capabilities including Snowpark and Cortex. Provides architecture guidance, conducts design reviews, mentors engineering teams, and develops AI-powered analytics solutions. The role requires extensive data architecture experience, strong SQL and cloud platform expertise, CI/CD knowledge, and technical leadership.

Leads data and analytics transformation strategy for major client programs, defining roadmaps, use cases, architecture direction, and operating models. Advises senior stakeholders, facilitates strategy workshops, aligns programs to KPIs and value frameworks, supports governance and risk management, contributes to proposals and pre-sales, and mentors consulting and analytics teams.