Top Remote Senior Level Jobs in Wichita, KS

Own and extend Rightway’s commercial systems, especially Salesforce, by building Apex, Lightning Web Components, integrations, automations, and AI-powered tools. Improve commercial data quality, connect systems to the central data warehouse, and deliver solutions for sales and client success teams. The role is the first dedicated commercial systems engineer, with potential to mentor and manage future team members.

Designs, architects, and develops enterprise Pega solutions for Department of Veterans Affairs projects. Responsibilities include requirements gathering, Pega PRPC implementation, cloud and API integration, data modeling, code reviews, performance optimization, technical documentation, and stakeholder collaboration within Agile DevSecOps teams.

Designs and builds enterprise-scale Azure lakehouse platforms for claims data using Databricks, Spark, Delta Lake, PySpark, and SQL. Responsibilities include developing Medallion Architecture, ETL/ELT pipelines, data models, governance, access controls, lineage, performance optimization, CI/CD, and production support. The role translates business and data requirements into technical designs while partnering with engineers, analysts, and stakeholders.

Leads QA automation by designing Playwright UI frameworks, REST API test suites, and Python-based backend validation. Integrates regression testing with Selenium Grid and Jenkins, reviews AI-generated automation using GitHub Copilot and Devin, authors Devin Playbooks, and collaborates on Agile planning, defect resolution, and test strategy. Mentors junior automation engineers and promotes quality throughout the software development lifecycle.

Designs and leads scalable, secure, and cost-efficient Snowflake data platforms supporting enterprise analytics, operational reporting, and generative AI applications. Serves as the technical authority for data architecture, modeling, lakehouse design, Snowflake services, dbt transformation frameworks, and Python/Snowpark development. Provides hands-on architectural leadership while influencing executive-level technology strategy.

Leads development of cloud-native, AI-powered applications using Python, React.js, OpenAI APIs, Azure OpenAI Service, and Azure AI services. Designs backend services, REST APIs, responsive front ends, third-party integrations, and generative AI capabilities including prompt engineering, embeddings, vector search, and RAG. Responsible for testing, deployment, monitoring, optimization, and collaboration across application development initiatives.

Leads and builds Grace Hill’s Account Management function, owning enterprise retention, renewals, and expansion. Partners with Sales to establish playbooks, forecasting, pricing, multiyear contracts, and account health processes. Serves as executive relationship owner for strategic customers, recruits and develops the team, and drives cross-functional collaboration across Sales, RevOps, Solutions Engineering, and Customer Success. Applies AI to improve account planning, forecasting, customer insights, and workflow efficiency.

Leads the Revenue Finance organization and owns company-wide ARR, GRR, subscription metrics, revenue forecasting, planning, reporting, and policy decisions. Manages a five-person team, partners with executive and go-to-market leaders, presents insights to the CFO and board, oversees revenue systems and process automation, and supports M&A and new product revenue integration.

Staff Software Engineer leading hands-on full-stack development across C#/.NET services, Angular interfaces, databases, and AWS-hosted applications. Builds healthcare data integrations using HL7, FHIR, and X12 EDI; modernizes legacy systems; improves performance; applies secure coding and HIPAA practices; supports production incidents; reviews code; mentors engineers; and collaborates with product and QA teams.

Lead end-to-end deployment of Tines’ workflow automation platform for public sector and federal customers. Integrate systems, configure workflows, troubleshoot production issues, train stakeholders, drive adoption, identify new use cases, and serve as the primary technical advisor. Build executive and user relationships, communicate customer insights to internal teams, and travel 20–40% to customer sites.

Researches, develops, tests, and maintains materials-aware machine learning models and software. Designs scalable ML systems, improves model interpretability and uncertainty quantification, and develops inverse-design capabilities. Collaborates with product, engineering, and external research teams to deliver customer-focused AI solutions, publishes research, reviews code, analyzes model performance, and mentors developers.

Own the catalysis product strategy, roadmap, and commercial expansion for an AI-driven materials discovery platform. Translate CHIPS Act objectives into product requirements and fulfillment evidence, define scientific datasets and model benchmarks, guide reaction-level modeling, and quantify customer value. Partner with scientists, program managers, business development teams, industrial customers, semiconductor organizations, catalyst manufacturers, and national laboratories. Lead segmentation, packaging, pricing, strategic partnerships, KPIs, and build-versus-buy decisions across refining, chemicals, emissions control, semiconductors, and energy-transition markets.