Top Senior Software Engineer Jobs in Cleveland, OH

Leads the development and deployment of data solutions using Palantir Foundry and AIP. Manages engineering teams, coaches team members, oversees project planning and execution, analyzes system interactions, manages client relationships, and drives innovation. The role applies software engineering, data engineering, analytics, and AI/ML techniques to deliver scalable client solutions while maintaining technical and professional standards.

Leads the development and deployment of software and data solutions using Palantir Foundry and AI/ML technologies. Responsibilities include data engineering, analytics, system improvement, client account management, project ownership, team leadership, coaching, stakeholder engagement, and continuous improvement. The role requires building scalable applications with large datasets and delivering customer-focused solutions.

Build and operate high-throughput backend services for AI agents, calendar, scheduling, integrations, real-time data pipelines, and APIs. Design platform infrastructure, event-driven systems, and client-server protocols using Go, PostgreSQL, Kubernetes, and cloud platforms. Collaborate with AI, product, and frontend teams, improve reliability through testing and infrastructure as code, and mentor junior engineers.

The Founding Engineer will lead the development of Sailor Health's AI-powered platform, building systems for patient care and mentor the engineering team.

Build the core AI platform for an AI-native trading experience. Develop a high-performance Rust backend supporting streaming responses, low-latency tool execution, caching, and model orchestration. Design secure, observable APIs and runtime components with authentication, authorization, rate limiting, auditing, tracing, retries, and fallbacks. Build safe trading action infrastructure with deterministic previews, confirmations, idempotency, and audit logs while partnering with product and frontend teams.

Own and improve Hex’s cloud infrastructure, CI/CD, observability, databases, security, cost management, and single-tenant deployment systems. The role involves selecting and delivering infrastructure projects, operating Kubernetes and AWS environments, scaling PostgreSQL, implementing infrastructure as code, and building customer-facing platform capabilities. Engineers are expected to handle on-call responsibilities, write application code when needed, and independently turn ambiguous infrastructure problems into shippable solutions.

Build and ship backend features end-to-end using Ruby on Rails and SQL. Lead complex technical projects, solve architecture challenges, establish standards, conduct meaningful code reviews, resolve high-risk bugs, document systems, collaborate across engineering teams, and mentor junior engineers.

Own QA strategy and release quality for POS, back-office, and payments products. Build automated unit, integration, API, contract, and end-to-end tests; integrate testing into GitHub Actions; validate hardware, offline modes, payment flows, and upgrades; establish release gates and test environments; monitor quality metrics; reproduce merchant issues; and coach engineers on testable design and quality practices.

Design, build, deploy, and maintain resilient, scalable software for Toast Delivery Services. Develop real-time delivery tracking, driver matching, pricing, refunds, and payment-related systems. Solve distributed-systems and scaling challenges, integrate with partner APIs, uphold production reliability, promote strong engineering practices, and mentor teammates.

Own the architecture and technical direction for provider-sourced client products, including lead management, caseload migration, AI-powered inquiry workflows, and provider marketing tools. Partner cross-functionally with product, design, data, sales, customer experience, and pricing teams. Build reliable user-facing systems, guide technical decisions across teams, measure product impact through experimentation, and influence teams without direct authority.

Leads AWS cloud production management and site reliability engineering across business-critical services. Defines SLI/SLO practices, error budgets, observability, capacity planning, resiliency, infrastructure automation, and cost optimization. Drives major incident response, root-cause analysis, production readiness, disaster recovery, and durable remediation across engineering teams. Establishes responsible AI-assisted development practices and communicates complex technical strategies to leadership in a regulated environment.

Architect and operate Affirm’s large-scale Amazon EKS compute platform, including cluster lifecycle, node management, autoscaling, shared components, infrastructure automation, workload safety policies, observability, cost and capacity optimization, and self-service workflows. The role drives technical strategy, mentors engineers, partners cross-functionally, and participates in on-call incident response.

Build and ship a full-stack data collection and search platform for defense and intelligence users. Develop frontend, backend, data ingestion, storage, indexing, APIs, and agentic AI capabilities using TypeScript, React, Tailwind, Node.js, PostgreSQL, and AWS. Partner with mission owners, customers, designers, and engineers to translate intelligence workflows into intuitive, mission-ready products supporting information analysis and visualization.

Designs, develops, tests, and maintains software systems, applications, database enhancements, and cloud-based tools. Translates business requirements into technical specifications, writes scalable code, fixes defects, documents solutions, and provides technical support. Collaborates with business analysts, QA testers, and project managers to deliver high-quality software. The role emphasizes Oracle Financials Cloud solutions, microservices, relational databases, SQL, integration patterns, and financial-domain implementations.

Build and optimize automated release engineering systems, including CI/CD pipelines, build and deployment tooling, and AWS cloud infrastructure. Ensure software delivery quality, security, compliance, and reliability. Lead complex projects, participate in on-call support, mentor teammates, and promote technical excellence. The role uses Go, Java/Kotlin, TypeScript, GitHub Actions, PostgreSQL, DynamoDB, Backstage, AWS, and AI development tools.

Leads software reliability engineering for cloud applications and infrastructure. Designs CI/CD pipelines, infrastructure as code, observability, monitoring, and scalable production systems. Responds to alerts, provides on-call support, improves service reliability, and promotes SRE practices. Develops data pipelines and coaches teams on secure, responsible AI-assisted engineering, including validation of AI-generated code and recommendations.

Build and optimize growth systems that increase patient bookings and engagement. Design experiments across messaging, outreach, and in-product booking flows; develop backend systems for experimentation and activation; monitor funnel metrics; analyze drop-offs; prioritize growth opportunities; and collaborate with product, design, data, and operations teams. The role emphasizes rapid experimentation, product-led growth, and measurable improvements in activation, conversion, retention, and booking.

Leads software engineering for mainframe applications within an agile banking technology team. Responsibilities include designing, developing, testing, debugging, and reviewing secure production code; adopting AI-assisted engineering practices; improving application stability; evaluating architectures and vendors; modernizing mainframe systems toward cloud-native technologies; and mentoring software engineers. The role requires extensive COBOL-based mainframe experience, architectural expertise, cloud-native knowledge, and leadership across software development and operational stability.

Lead the architecture and technical strategy for Affirm’s high-volume observability platform. Design telemetry pipelines and sampling strategies, improve reliability and cost efficiency, integrate observability into AI-assisted development, and drive platform adoption across engineering teams. Remain hands-on while mentoring six engineers, leading cross-functional initiatives, establishing engineering standards, and overseeing monitoring, alerting, on-call operations, and system availability.

Staff Software Engineer responsible for leading design and delivery of large-scale order platform capabilities spanning cloud and point-of-sale systems. The role drives architecture, performance, reliability, API design, code quality, incident response, and technical roadmap alignment. It also requires cross-team collaboration, domain expertise in order processing and synchronization, mentoring engineers, and using AI-assisted development tools to improve productivity.

Drives performance engineering and scalability across software systems by identifying bottlenecks, optimizing code, queries, databases, and architecture, and implementing fixes. Builds performance frameworks, data-generation tools, benchmarks, and CI/CD automation using k6, JavaScript, Grafana, and InfluxDB. Establishes performance standards, investigates distributed systems and cloud environments, documents architectural decisions, and collaborates with engineering teams to improve throughput, latency, reliability, and efficiency.

Lead full-stack development of secure, scalable digital banking applications using Angular, TypeScript, Java, Spring Boot, microservices, GCP, and Kubernetes. The role involves architecture, API design, DevOps, CI/CD, distributed systems, observability, security, and technical leadership. Responsibilities include mentoring engineers, conducting design reviews, improving engineering standards, supporting resilient cloud-native platforms, and evaluating AI-assisted development tools.

Lead frontend technical strategy for Affirm’s checkout decision orchestration systems. Design and architect scalable web applications, guide major technical initiatives, improve reliability and operational processes, establish engineering quality standards, collaborate with product, design, and analytics, and mentor engineers. The role focuses on building fast, clear, and reliable checkout experiences using modern declarative UI frameworks.

Design and maintain automated testing frameworks for cloud-scale distributed systems. Build performance, load, stress, integration, API, end-to-end, chaos, security, and infrastructure tests. Integrate continuous testing into CI/CD pipelines, analyze observability data, validate Kubernetes and microservices environments, and collaborate with Engineering and SRE teams to improve reliability. The role also participates in on-call rotations and helps establish QA strategy and standards across GPU infrastructure, serverless endpoints, storage, billing, and event-driven systems.

Design and build reusable backend platform services, libraries, frameworks, integrations, and AWS infrastructure abstractions. Establish reliability, security, observability, testing, compatibility, and deployment standards for consuming teams. Direct AI-agent implementation through specifications and contracts, review generated and human code, manage incidents, and drive production adoption of shared platform capabilities.