Top Senior Software Engineer Jobs in Wichita, KS

Leads complex systems analysis, software design, application development, testing, debugging, documentation, and technical project planning. Oversees development resources, coordinates technology and business teams, evaluates vendor software, maintains supported applications, recommends technology improvements, and supports budgets, risk controls, audits, and regulatory requirements. Mentors less experienced staff and serves as a technical leader across complex projects.

Leads delivery for a payroll engineering team while contributing hands-on to complex payroll and tax features. Responsibilities include mentoring engineers, conducting code reviews, partnering with Product Management, translating roadmaps into engineering work, and ensuring reliable releases. The role champions AI-assisted development, supports CI/CD and DevOps practices, communicates technical risks, and helps resolve production issues affecting payroll processing.

Leads the architecture, development, testing, deployment, troubleshooting, and sustainment of Appian applications supporting Army systems. Provides technical leadership, code reviews, mentorship, secure coding enforcement, requirements collaboration, Agile participation, integrations, documentation, and compliance with DoD cybersecurity, RMF, STIG, and privileged-access requirements.

Lead software engineering for the Patient Onboarding team, building and improving registration, insurance verification, and care-access workflows. Write full-stack production code, lead complex cross-team initiatives, shape technical direction, improve engineering foundations, and support modern AI-enabled development practices. Collaborate with Product, Design, Analytics, and Engineering to improve patient conversion and system reliability.

Lead frontend and full-stack engineering, architect scalable features, integrate APIs and cloud services, optimize rendering and performance, establish engineering standards, conduct code reviews, and mentor developers. Collaborate with product, UX, and backend teams to deliver user-focused software while managing priorities in an ambiguous environment.

Designs, builds, and scales backend services and integrations for payments, billing, identity, and partner connectivity. Sets technical vision and architecture for distributed systems, leads cross-team delivery, manages production rollouts, builds fault-tolerant services and data pipelines, and mentors engineers. The role partners with product, design, and engineering teams to deliver frequent, reliable improvements for Flex’s rent payment platform.

Design, build, and scale backend services and integrations for payment, billing, identity, and partner systems. Own API scoping, design, implementation, deployment, and production operations with minimal oversight. Build fault-tolerant systems, data pipelines, and scalable architectures while collaborating with product, design, engineering, and external partners. Contribute to reliability monitoring, observability, automation, technical standards, and mentoring in a distributed team.

Build and own full-stack MarTech services, scalable APIs, event-driven systems, data pipelines, and customer-facing web experiences. Integrate advertising, analytics, messaging, and marketing platforms while supporting attribution, identity resolution, experimentation, acquisition, and retention. Collaborate cross-functionally with marketing, product, data, design, and engineering teams to launch measurable growth initiatives. Mentor engineers and establish technical best practices across high-scale marketing infrastructure.

Design and build backend services and APIs for identity resolution and platform integrations. Optimize event-driven pipelines processing billions of signals, deploy cloud-native services on AWS EKS and Kubernetes, and ensure reliability, observability, and scalability. Collaborate with engineering, product, and data teams to deliver identity solutions while mentoring junior engineers. The role requires expertise in backend or data engineering, distributed systems, streaming technologies, cloud deployment, data modeling, and high-throughput databases.

Build and scale backend-focused systems supporting truckload freight operations, including high-volume carrier quotes, automated transactions, distributed services, and APIs. Design scalable data models and architectures, contribute across the React and TypeScript stack, make key technical decisions, mentor engineers, and collaborate with product leadership. The role also involves developing AI-powered logistics tools and maintaining reliable, secure infrastructure on Kubernetes and GCP.

Build and own the technical roadmap: design AI-first interfaces and APIs, architect scalable ETL pipelines, develop data models for ML features, ship autonomous B2B workflows (PO generation, vendor sync, schedule optimizations), and establish engineering standards, CI/CD, and mentoring.

Design, develop, and modernize enterprise-scale applications, RESTful APIs, microservices, and distributed systems. Build cloud-neutral solutions across AWS and Azure, support legacy application migrations, participate in architecture and code reviews, troubleshoot production issues, document technical designs, and mentor engineers. The role emphasizes scalable, secure, high-performance backend systems, technical leadership, and engineering best practices.

Provides architectural leadership for complex CX orchestration platforms built on AWS, Genesys Cloud, and Salesforce. Designs integrations and distributed systems, establishes engineering standards, leads governance and technical roadmaps, resolves high-impact production issues, evaluates technologies, and mentors senior engineers and technical leaders. The role influences enterprise architecture, risk mitigation, platform strategy, and cross-functional technical decisions.

Lead the architecture, development, deployment, and reliability of cloud-based customer experience platforms using AWS, Genesys Cloud, and Salesforce Service Cloud. Design integrations, data pathways, CI/CD pipelines, and infrastructure automation while ensuring security, compliance, scalability, and performance. Serve as a technical subject matter expert, guide global agile teams and vendors, coach engineers, establish DevOps practices, and troubleshoot critical production issues.

Build and maintain Safari AI’s cloud infrastructure, including production services, system design, reliability, documentation, and security compliance. The role sets technical direction for the cloud stack, collaborates with engineering and operations teams, improves development processes, and delivers incremental features. Candidates should have 4–6 years of software engineering experience, public cloud expertise, and experience taking complex services from concept through production. Streaming processing and machine learning experience are advantageous.

Develop and maintain Medicare claims-processing software in a mainframe environment using COBOL and related technologies. Responsibilities include technical design, coding, unit testing, debugging, defect resolution, deployment to testing regions, documentation, requirements decomposition, project estimation, and Agile team coordination. The role provides technical guidance and mentorship to developers while supporting complex DME contract maintenance and operations.

Build, test, support, and enhance scalable web applications using Node.js, React, MongoDB, and APIs. Collaborate with cross-functional teams, troubleshoot production issues, contribute to architecture and technical documentation, and lead medium-complexity initiatives. Participate in code reviews, Agile development, on-call support, technical debt reduction, and monitoring. Mentor junior engineers and promote engineering best practices, automated testing, CI/CD, and software quality standards.

Build and operate reliable backend services for a developer-focused email platform. Responsibilities include owning features end-to-end, designing APIs and relational data models, scaling databases, building distributed systems with queues and background workers, managing AWS infrastructure, improving observability and deployments, participating in on-call, and partnering with customers and support to improve the product.

Design and implement infrastructure services for a GPU-as-a-Service platform. Build REST and gRPC APIs, bare-metal provisioning workflows, Kubernetes cluster automation, reconciliation loops, and durable asynchronous operations. Manage server enrollment, inspection, OS provisioning, cluster creation, hardware inventory interfaces, error handling, idempotency, and multi-tenant infrastructure reliability.

Lead complex systems analysis, software design, development, testing, debugging, documentation, and application support. Coordinate technical project plans, evaluate vendor solutions, manage milestones, and collaborate with technology teams, business units, clients, and vendors. Mentor less experienced staff, monitor performance, recommend technology and process improvements, support budgets and risk controls, and contribute to strategic studies and due diligence.

Develops, tests, documents, enhances, and maintains software solutions using Appian and related technologies. Designs integrations with external systems, resolves technical issues, remediates security vulnerabilities, improves performance, participates in requirements analysis and Agile development processes, and documents standards. The role also contributes to planning, mentors other engineers, collaborates with team members, and stays current with software development practices and technologies.

Own performance optimization, reliability, observability, capacity modeling, and automated failover for Coinbase’s blockchain node infrastructure. Diagnose resource bottlenecks, reduce infrastructure costs, define SLOs and SLIs, support protocol upgrades, and improve node performance across distributed systems at scale. Collaborate with protocol integration, wallet, and indexer teams while applying backend programming and systems profiling expertise.

Develop and maintain Java enterprise applications using Spring Boot, microservices, REST APIs, Oracle, and MongoDB. Design scalable systems, conduct testing, remediate vulnerabilities, troubleshoot distributed environments, participate in code reviews, document solutions, and mentor junior developers. The role also involves Linux, Git, Maven, Docker, Kubernetes, CI/CD, and cloud platforms such as OCI or AWS. An active Public Trust clearance and cybersecurity certification are required.

Lead technical ownership of InfiniBand and GPU interconnect fabric operations for hyperscale AI supercomputers. Drive incident response, deep multi-layer debugging across hardware/firmware/drivers/OS, and define failure models, playbooks, telemetry, and automation to improve reliability, observability, and scalability of GPU clusters and platform SLAs.

Design, build, and operate scalable, secure data platform infrastructure for ingesting, processing, cataloging, and accessing petabytes of data. Improve Spark/Databricks reliability and developer experience, build ingestion/replication systems, develop internal libraries and tooling (Go/Python), and collaborate with cross-functional teams to support analytics, ML, and customer-facing data products.