Top Senior Software Engineer Jobs in Cleveland, OH

Lead the architecture and delivery of scalable backend systems supporting customer onboarding, account lifecycle management, billing, metering, marketplace integrations, revenue data synchronization, and customer-facing usage reporting. Build reliable distributed systems, data pipelines, and integrations while ensuring correctness, observability, compliance, and operational readiness. Partner with Finance, RevOps, Sales, Support, Product, and Engineering, provide technical leadership, mentor engineers, and improve customer and developer experiences.

Build and evolve Nexus interfaces across Temporal SDKs, integrating language runtimes with durable, deterministic workflow execution. Design APIs, implement concurrent distributed-system features, support multiple programming languages, collaborate with open-source communities, debug complex issues, and document technical concepts. The role also contributes foundational runtime capabilities for agentic AI systems and requires occasional coworker travel.

Design and develop electromagnetic warfare and spectrum operations software, including data models, RF propagation integrations, C2 and sensor APIs, AI-assisted coding workflows, and deployments across cloud, on-premises, and edge environments. Demonstrate software to customers, translate feedback into requirements, document and test solutions, mentor developers, and support agile delivery. The role requires an active US Top Secret/SCI clearance and travel to customer sites.

Designs, develops, maintains, troubleshoots, and enhances enterprise mainframe applications using COBOL, CICS, JCL, DB2, and VSAM. The role includes performance tuning, database optimization, incident and change request management, technical documentation, requirements analysis, and implementation planning. Acts as a technical lead, supports critical applications, works across Agile and waterfall methodologies, and guides junior team members.

Build and maintain Doowii's core product: front-end interfaces and UX for data querying, backend APIs and cloud infrastructure, real-time data interaction and optimized data models, ingestion pipelines (NiFi->Kafka->Iceberg->BigQuery), and model evaluation/LLM-driven features to deliver accurate, performant conversational analytics for education.

Design and deliver scalable control-plane and management services for Azure Storage at hyperscale. Lead architecture, reliability, and performance work for storage platforms that support AI workloads, adopt AI-assisted engineering practices, and own system health, incident response, and long-term technical roadmaps.

Design, build, ship, and own high-scale, user-facing product features across frontend, backend, and data systems. Define problems, scope and prioritize work, collaborate with Product, monitor production usage, debug incidents, improve reliability, review code, and mentor engineers. The role requires strong backend expertise alongside React proficiency and ownership from product discovery through long-term maintenance.

Design and deliver scalable, secure, and maintainable software systems. Contribute to architecture, build CI/CD pipelines, design distributed systems and APIs, mentor engineers, collaborate with product and design, and improve observability, performance, and operational reliability across teams.

Build, operate, and extend data platform and application-layer services enabling secure, self-service data applications at scale. Implement provisioning, CI/CD, access control, integrations, observability, automation, and incident response while contributing to semantic layer and AI-ready tooling roadmaps.

Design and implement scalable first-mile networking solutions for Microsoft 365 Substrate and COSMIC. Drive design, dependency identification, coding, optimization, debugging, and on-call monitoring. Analyze production telemetry to improve reliability, performance, and observability. Act as a DRI, lead design and release plans, and collaborate with stakeholders to meet product requirements at global scale.

Design, implement, debug, and ship features for Azure Storage front end at cloud scale. Drive design, dependency identification, automation, reliability, observability, and on-call incident response while collaborating with stakeholders and mentoring engineers.

Designs, develops, and maintains automated test frameworks and suites for complex API and web applications. Tests software functionality, performance, scalability, and database integrations; debugs defects and verifies fixes. Collaborates with engineering, QA, product, and cross-functional teams on test strategy, code reviews, sprint planning, and root-cause analysis. Contributes to CI/CD automation and creates test plans, cases, procedures, and reports.

The Open Source Engineer will expand LanceDB's integration with big data systems, manage dataset operations, and enhance open-source community efforts.

Leads software design, development, debugging, testing, deployment, and production support for web applications. Conducts code reviews, builds reusable code, improves legacy systems, monitors system health, optimizes performance, and responds to on-call incidents. Collaborates with engineering, product, design, customers, and vendors; mentors junior engineers; maintains development standards; and champions API-first development. Requires full-stack experience, cloud-native application deployment, database expertise, REST APIs, testing, and AI-assisted development workflows.

Lead design and implementation of scalable backend solutions, collaborate on requirements and specs, troubleshoot complex technical issues, conduct and lead code reviews, ensure rigorous automated testing, leverage AI tools to improve workflows, and support high-volume transactional processing.

Develop and maintain high-scale JavaScript and TypeScript monetization solutions using Prebid.js, Prebid Server, and Google Ad Manager. Own the header bidding wrapper, integrate auction and ad-tech standards, optimize Core Web Vitals and client-side performance, operate Google Cloud services, review code, document architecture, and resolve production issues.

Lead frontend development for a satellite-data monitoring application serving defense and intelligence customers. Design and implement React and TypeScript features, guide frontend architecture, contribute to backend APIs, mentor engineers through reviews and technical discussions, and collaborate with product managers and designers. Own feature delivery from discovery through deployment while improving state management, data fetching, component design, testing, and frontend best practices.

Design, implement, and maintain scalable backend systems supporting Alpaca’s financial ledger and brokerage infrastructure. Own high-visibility features from design through deployment, collaborate with finance, operations, product, and engineering stakeholders, and improve system health. Build performant, reliable, maintainable services using modern distributed systems technologies while ensuring the ledger remains a correct source of truth for account transactions, reporting, and compliance.

Owner of core clinical backend systems: design and build TypeScript/Nest.js APIs, model clinical domains in PostgreSQL/Prisma, implement onboarding/migration flows, ensure CI/CD, monitoring, HIPAA/SOC2 readiness, collaborate with clinical stakeholders, and build monitoring/reporting with Sentry/Datadog on AWS.

Design, develop, and operate distributed services for Azure Storage geo-replication. Improve durability, regional resiliency, failover readiness and disaster recovery. Collaborate across teams, analyze telemetry, diagnose production issues, act as a DRI, and leverage AI-assisted engineering tools to improve productivity and reliability.

Design and deliver distributed storage systems for AI and machine learning workloads at hyperscale. Lead architecture, development, testing, deployment, and innovations in scalability, performance, security, and efficiency. Collaborate with AI researchers and cloud infrastructure engineers, mentor engineers, and guide technical strategy for high-availability, durable, high-performance storage supporting training and inference.

Design and deliver large-scale, cloud-native and AI-enabled Kubernetes/AKS solutions. Implement, optimize, and maintain Kubernetes components and container orchestration across Azure, on-prem, and edge. Integrate AI capabilities, participate in on-call rotations, mentor engineers, and collaborate cross-functionally to improve reliability, observability, performance, and operational consistency at scale.

Design and operate large-scale, AI-native cloud infrastructure (especially Kubernetes/AKS). Improve service quality, automate incident prevention/remediation, accelerate engineering productivity, and integrate AI tools into development workflows.

Designs and develops high-performance Azure Storage Infrastructure solutions involving hardware accelerators, processors, transports, filesystems, and cluster-scale improvements. Responsibilities include software design, coding, optimization, debugging, performance tuning, reliability improvements, operational support, monitoring, root-cause analysis, and serving as a designated responsible individual. The engineer collaborates across Research, Storage, Compute, and other organizations while guiding engineers and supporting cloud-scale services.

As a Senior Backend Engineer, you'll build cloud-native backend services using Golang, deploy in Kubernetes, and lead architecture projects in a startup environment.