Top Senior Software Engineer Jobs in Rochester, NY

Lead engineering for a hyperscale deployment platform serving Microsoft 365 services. Design and deliver scalable deployment features across the full software lifecycle, mentor engineers, and drive automation and AI-powered solutions that improve reliability, efficiency, performance, and operational excellence. Collaborate with product managers and partner teams while ensuring high-quality, maintainable, production-grade software.

Own and evolve patient-facing clinical application surfaces, including a React widget, clinician portal, and Python service layer. Lead full-stack architecture, AI application integrations, encounter data flows, internal tooling, versioned shared components, and operational reliability. Partner with AI engineers on LLM-enabled workflows, maintain dependencies, protect consumers from breaking changes, and mentor junior engineers. The role requires durable ownership of rapidly built systems and delivery of critical healthcare technology.

Build and maintain developer-facing tools and APIs for MongoDB Atlas and Compass. Work full-stack on customer-facing UIs and backend services, design scalable, highly available web applications, collaborate cross-functionally, troubleshoot distributed systems, and improve performance and developer experience.

Design, build, deploy, and operate scalable backend platform services and shared libraries. Contribute to architecture, reliability, developer experience, continuous delivery, monitoring, alerting, and incident response. Investigate production issues, implement lasting fixes, participate in technical reviews, mentor engineers, and collaborate cross-functionally to deliver business value. The role also encourages thoughtful use of AI tools to improve productivity.

Lead the design and development of Azure Compute Fleet capabilities that orchestrate Virtual Machine Scale Sets across regions. Build distributed control-plane services, APIs, and workflows for capacity placement, scaling, failover, and lifecycle management. Collaborate across Azure engineering teams, drive AI-enabled engineering improvements, participate in on-call operations, and improve reliability, observability, performance, and recovery for hyperscale cloud services.

Leads end-to-end design, development, quality, and integration of complex software solutions and cloud services. Provides technical leadership for enterprise-wide projects, manages engineering processes, risks, dependencies, and delivery priorities, and writes code across the software ecosystem. Collaborates with multidisciplinary teams to deliver measurable, user-centric technology solutions, primarily supporting healthcare caregivers.

Lead full-stack software development across frontend and backend systems, delivering user-facing healthcare features from concept through iteration. Design APIs and application architecture, write technical specifications, improve testing and CI practices, collaborate with product, AI/ML, clinical, and UX teams, and guide cross-team technical decisions. The role involves React, Python, cloud infrastructure, databases, asynchronous workflows, and healthcare data technologies.

Leads software design, architecture, development, testing, deployments, production support, and technical debt reduction for WEX Health applications. Mentors engineers, coordinates cross-functional delivery, reviews code, and guides feature lifecycles. Uses AI-assisted development practices, including GitHub SpecKit, model selection, MCP integration, prompt engineering, automated testing, refactoring, and governance of AI-generated code. Requires strong C#, ASP.NET MVC, SQL, DevOps, infrastructure-as-code, communication, and leadership skills.

Work with customers and cross-functional teams to design, build, and deliver cloud-based solutions. Lead design, identify dependencies, mentor engineers, act as DRI and on-call, and improve availability, reliability, observability, and performance. Contribute to open-source assets and collaborate with Microsoft product teams to produce extensible, maintainable code and scalable solution patterns.

Build and evolve scalable systems that capture, ingest, and process real-time and recorded audio/video streams from telephony and meeting platforms. Design distributed media pipelines optimized for reliability, performance, and low latency; provide technical leadership and mentorship; solve complex systems problems; implement testing and quality practices; contribute to architecture and code reviews; and maintain security and compliance standards.

Build and ship product features incorporating machine intelligence and large language models. Architect scalable AI-powered functionality, conversational agent experiences, data pipelines, and third-party integrations. Collaborate with subject-matter experts and designers, make pragmatic technical decisions, and mentor teammates on data and AI practices. The role requires hands-on server-side web development, flexible scripting skills, strong system design judgment, and experience delivering AI-enabled products in a startup environment.

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.

Own and lead Coinbase’s developer infrastructure platforms, including CI, build systems, and deployment orchestration. Set technical direction for complex cross-team initiatives, improve build and deployment performance, manage reliability and observability, and drive platform migrations and adoption. Partner with engineering leaders, operate production systems, mentor engineers, and deliver scalable tools used across the organization.

Owns delivery of backend money movement and card ledger systems, leading engineers through complex problems and ambiguity. Collaborates with product, design, analytics, and engineering stakeholders; defines scalable technical solutions; supports system availability, monitoring, on-call operations, code quality, and engineering standards. The role also includes mentoring and developing team talent while building highly available distributed systems for Affirm’s financial products.

Lead design and implementation of Azure full‑stack, scalable skilling platform features. Drive CI/CD, reliability, automation, and AI/LLM-enabled capabilities. Mentor engineers, enforce engineering best practices, coordinate cross-team dependencies, and improve test automation and observability for enterprise-scale services.

Own and evolve Thrive Global’s enterprise identity platform, including sign-up, authentication, authorization, user identity management, and integrations with enterprise identity providers. Independently deliver complex projects, partner with Product and stakeholders, maintain reliability, participate in on-call and incident response, and ensure secure, scalable systems using modern identity protocols and credential-management practices.

Design and build automation platforms, validation systems, telemetry pipelines, performance frameworks, and diagnostic tools for qualifying next-generation Azure Storage hardware. Investigate distributed software, hardware, firmware, networking, and operating-system issues; analyze performance data; improve scalability and reliability; and contribute to technical architecture across Azure Storage infrastructure.

Lead the architecture, development, and evolution of Keeper Commander, including Python and .NET SDKs, CLI tooling, APIs, and developer automation. Remain hands-on with coding, debugging, architecture, integrations, security, testing, and release engineering while mentoring a small team. Partner with Product, QA, and Security teams, support the open-source ecosystem, improve developer experience, and guide technical strategy for enterprise and DevOps integrations.

Designs and implements protocols and features for highly scalable distributed block storage, focusing on durability, availability, performance, reliability, and observability. Responsibilities include coding, optimization, debugging, design documentation, stakeholder collaboration, incident response, on-call operations, and mentoring engineers. The role requires expertise in C or C++, distributed systems, cloud backend development, multithreaded programming, and large-scale software delivery.

Develop and maintain Akamai’s custom Linux kernel and distribution. Responsibilities include adding performance, reliability, and security features; porting modifications to newer kernel versions; debugging production and test issues; improving build and continuous-testing automation; collaborating with platform, application, test, and hardware teams; and contributing work upstream to the Linux community.

Own and develop safety-critical firmware for autonomous transit vehicles, including RTOS applications, communication architectures, bootloaders, drivers, board bring-up, diagnostics, and automated testing. Lead cross-functional embedded projects, optimize performance on resource-constrained platforms, establish engineering standards, conduct code reviews, and mentor engineers. The role requires expert C or C++, embedded systems experience, safety-critical development, and typically seven or more years of production embedded software experience.

Lead the technical vision and architecture for scalable, secure, high-performance distributed systems. Provide engineering leadership, mentorship, and architectural guidance while driving reliability, automation, CI/CD, security, performance optimization, and technical strategy. Investigate emerging technologies, oversee complex problem-solving, establish engineering standards, and collaborate with product and business stakeholders to align technology roadmaps with organizational goals.

Designs and develops software to automate onboarding, validation, management, tracking, and lifecycle operations for new hardware deployed in Microsoft datacenters. Responsibilities include requirements analysis, system design, coding, debugging, optimization, reliability engineering, monitoring, on-call support, and incident response. The role collaborates with Azure teams and stakeholders while improving scalability, security, availability, observability, and performance across cloud and distributed systems.

Design, implement, optimize, and operate highly available distributed data streaming platforms across FedRAMP environments. Develop concurrent, low-latency software using C, C++, Go, or Java; support full-stack data delivery; troubleshoot complex network and distributed-system issues; and provide technical guidance through code reviews and mentoring.

Own end-to-end architecture and implementation quality for an accounting and payments pod. Lead migration of billing processing to Go worker routines, build a reusable invoicing SDK with Storybook, define testing strategies, reduce technical debt, mentor engineers, participate in customer discovery, and promote AI-assisted development. The role requires strong backend, frontend, database, architectural, and mentoring experience in a fully remote product-led environment.