Top Software Engineer Jobs in Cleveland, OH

Provides technical leadership across multiple agile engineering teams, designing, developing, and maintaining complex distributed software systems. Responsibilities include translating product requirements into scalable designs, writing and reviewing code, leading sprint teams, removing delivery impediments, mentoring engineers, collaborating with product managers, and guiding technical strategy. The role emphasizes microservices, cloud platforms, containerization, APIs, messaging, workflow orchestration, DevSecOps, observability, performance, security, and operational excellence.

Build and operate end-to-end, consumer-scale features across backend services, APIs, iOS, and Android for Life360’s Aging in Place vertical. Use AI-native and agentic workflows with LLMs, contribute to architecture and code reviews, participate in on-call response, mentor teammates, and establish AI engineering practices adopted across the organization. Collaborate with product and design while ensuring performance, reliability, accessibility, and member-focused outcomes.

The Lead Rust Software Engineer will design and build scalable applications, mentor teams on Rust, and contribute to complex product development.

Develop and maintain high-scale JavaScript and TypeScript monetization solutions for publisher websites. Own Freestar’s Prebid.js and Prebid Server header-bidding wrapper, including architecture, adapters, modules, releases, and performance. Integrate with Google Ad Manager, GPT, IMA SDK, and programmatic advertising systems. Monitor Core Web Vitals, reliability, and network performance while reviewing code, resolving critical issues, and guiding technical decisions.

Own and evolve cybersecurity platform integrations, parser frameworks, data normalization, and microservice-based solutions. Design secure APIs, process security logs from diverse sources, and ensure ingested data supports detection and analytics. Drive architecture decisions, improve framework reliability, mentor engineers, and use AI tools to accelerate development, testing, parsing, automation, and operational workflows.

Lead the design, development, testing, and maintenance of secure software tools and platforms supporting more than 50,000 developers. Responsibilities include code reviews, debugging, performance optimization, architectural planning, documentation, production support, adoption of AI-assisted development tools, and mentoring engineers. The role also drives engineering communities of practice and ensures developer tooling complies with enterprise security, resiliency, and policy standards.

Owns the end-to-end development of iOS monetization experiences, including paywalls, pricing, subscriptions, upgrades, and purchases across global storefronts. Partners with product, design, analytics, finance, and legal to prototype, experiment, launch, and optimize reliable consumer-scale features. Responsibilities include architecture, performance optimization, staged rollouts, code reviews, mentoring, and advancing AI-native engineering practices.

Build and maintain responsive web experiences, PWAs, and native-feeling mobile apps; design secure APIs and third-party integrations; develop conversational AI bots and support automation; implement ad-tech, segmentation, push notifications, analytics, and A/B testing; and optimize performance, reliability, and uptime. The role requires full-stack development, cloud and DevOps fundamentals, and collaboration in a fast-paced startup.

As a Sr. Software Engineer at Bloomerang, you will lead technical direction, mentor engineers, and enhance SaaS solutions while utilizing .NET and AI tools. You will ensure scalable, maintainable applications, advocate for Agile workflows, and focus on quality outcomes in software development.

Develop and maintain full-stack applications for veterinary and business-critical systems. Responsibilities include frontend development, backend services, APIs, database interactions, integrations, troubleshooting, testing, and Agile delivery. The role collaborates with Product and Engineering teams to translate requirements into scalable technical solutions, owns development tasks, and contributes throughout the software development lifecycle.

Build and scale Airbnb’s AirChatUI AI prototyping harness and native macOS/iOS applications. Lead architecture and implementation across web prototyping, iOS deployment, AI agent integrations, AirChat tooling, and Kyber platform integration. Develop declarative UI features, collaborate with infrastructure, product, security, and design teams, and establish scalable iOS patterns. Enable designers and product managers to create production-oriented prototypes while maintaining quality, accessibility, performance, availability, and release standards.

Leads technical strategy, architecture, and implementation for scalable clinical research software, data pipelines, and AI systems. Owns product-line architecture, resolves complex distributed-systems challenges, drives reliability, security, observability, and operational excellence, and mentors senior engineers. Builds information extraction and agentic AI applications, data modeling and processing pipelines, evaluation frameworks, and cost-efficient inference orchestration. Partners across Product, QA, Data Science, Architecture, Infrastructure, Cloud, and Support to deliver reliable, maintainable systems.

Develop and maintain semiconductor equipment automation and MES integrations using SECS/GEM, SEMI standards, Ignition, Python, REST APIs, and databases. Design equipment-to-host interfaces, station controllers, finite-state workflows, data collection, tags, and web or desktop applications. Validate MES processes, support SPC software, debug and host applications, and work with hardware and semiconductor manufacturing systems. The role also requires strong analytical, communication, leadership, project management, and application ownership skills.

Design and build applications using Python, manage component design, optimize performance, and collaborate with clients on innovative products.

Lead a small software engineering team supporting intelligence workflows. Build and maintain full-stack web applications, automate workflows, develop agentic AI tools, integrate data across agency elements, and support highside services. Engage directly with customers, leadership, analysts, and developers to understand mission needs, gather feedback, implement solutions, and deliver analytic and workflow support. Responsibilities also include relational database work, pipeline data processing, and cross-domain solution development.

Evaluates AI-generated software code for correctness, quality, architecture, and debugging performance. Creates challenging coding problems, reference solutions, and test cases, then reviews model reasoning and provides detailed technical feedback to improve AI performance on real-world software engineering tasks.

Lead architecture, development, scaling, and reliability for SingleStore Helios, a multi-cloud SaaS platform. Design Kubernetes operators, controllers, networking, routing, and distributed control planes across AWS, Azure, and GCP. Build resilient Go and Python systems, support AI and vector workloads, resolve complex Tier-3 production incidents, and maintain compliance controls. Mentor engineers, author architecture documents, and influence cross-functional technical strategy.

Build and operate reliable, maintainable software for appointment-based businesses. Own product and technical initiatives from design through production, collaborate with Product and Design, contribute to architecture, and develop frontend, backend, or full-stack systems. Ensure quality through testing, code review, observability, and production support while mentoring engineers and improving development practices with AI-assisted tools.

Build and operate high-volume AWS data pipelines and bidirectional CRM integrations for educational fundraising systems. Design idempotent consumers, incremental synchronization, rate limiting, replay, migrations, monitoring, and partner-facing APIs. Collaborate with product, partner, data science, and CRM teams while improving AI-assisted engineering practices. Own major system components or end-to-end architecture, depending on level, and mentor teammates at the higher level.

Build AI platform infrastructure and developer tooling, including API gateways, model routing, integrations, observability, retrieval, caching, and model-serving systems. Develop APIs, microservices, SDKs, and internal tools that connect proprietary real estate data and AI models to production applications. Collaborate with ML engineers, contribute to architecture decisions, and own features through deployment and monitoring.

Lead a portfolio company’s engineering function by writing production code, modernizing the software development lifecycle, coaching engineers, setting the product roadmap, and implementing AI-powered development and product capabilities. The role requires rapidly learning unfamiliar technology stacks, improving legacy codebases without rewrites, operating independently, and partnering closely with general managers, operators, and customers.

Lead development of full-stack, mission-critical products using Angular, React, Node.js, and AWS serverless technologies. Own projects from product definition through deployment, integrate GraphQL APIs and machine learning systems, improve developer experience and CI/CD, collaborate with clinicians and researchers, participate in customer discovery, and mentor engineers while shaping technical architecture and engineering culture.

Lead architecture and hands-on development of Azure Kubernetes Service capabilities for AI workloads. Design secure, reliable, scalable distributed systems; coordinate engineering teams; define testing and deployment strategies; improve observability and operational readiness; investigate production issues; and mentor engineers while advancing engineering practices.

Lead development of scalable Java backend applications and high-availability cloud services. Design architectures, REST APIs, databases, caching systems, and distributed session infrastructure. Mentor engineers, drive technical initiatives, address performance and scalability challenges, and uphold quality and automation practices for endpoint management products.

Lead backend engineering strategy for Affirm’s international Identity team. Design and launch highly available distributed systems supporting KYC, user lifecycle management, and identity decisioning. Drive technical planning, cross-functional collaboration, operational excellence, monitoring, testing, and on-call readiness. Establish engineering quality standards, influence architecture, mentor team members, and deliver scalable systems using Python or Kotlin, AWS, MySQL, Spark, and Kubernetes.