Top Software Engineer Jobs in Buffalo, NY

Own the technical direction of a core Helius backend system, including architecture, reliability, performance, roadmap, and production operations. Design scalable distributed systems, storage, streaming, or edge infrastructure; drive profiling and performance improvements; establish operational excellence; partner with founders on strategy; mentor engineers; and lead ambiguous cross-team initiatives.

Own and advance a core Helius backend system supporting Solana infrastructure. Design and release high-performance products, optimize latency and throughput, make architectural decisions, improve observability and incident response, and mentor engineers. The role requires end-to-end ownership of production systems at scale, with close collaboration with founders and engineering leadership. Relevant systems include data streaming, historical APIs, account indexing, and access control infrastructure.

Develop full-stack solutions using TypeScript and AWS cloud technologies. Responsibilities include building GraphQL APIs, business logic libraries, AWS Lambda functions with CDK, AWS Glue automation, and Angular/Ionic user interfaces. The engineer will also support CI/CD, Git repositories, linting, developer workflows, requirements management, and HIPAA-compliant software development. Collaboration with engineers, management, and business analysts is required.

Execute scheduled, ad hoc, and release-milestone software tests; review test cases; report defects in issue-tracking systems; communicate status in standups; and collaborate with software test managers and development teams. The role requires knowledge of QA methodologies, black-box, grey-box, and white-box testing, strong communication and organization, independent and team-based work, and participation in planning and professional meetings.

Seeking a Senior Software Engineer with 5+ years of experience to design and develop large-scale distributed systems, mentor junior engineers, and manage complex projects in a dynamic setting.

Lead Elasticsearch performance engineering from architecture through production. Develop performance models, optimize distributed systems, profile bottlenecks, build benchmarks, detect regressions, and improve scalability across stateful and serverless architectures. Design AI-assisted optimization and benchmarking tools, collaborate across teams, define performance strategies, and mentor engineers. The role requires deep Java, JVM, concurrency, distributed systems, and search or data-store performance expertise.

Develop and optimize Elasticsearch performance across distributed and serverless architectures. Responsibilities include implementing performance models, profiling systems, identifying bottlenecks, building benchmarks and regression detection, improving logging, metrics, vector search, and ES|QL performance, and creating AI-assisted optimization tools. The role also involves architectural and code-level optimization, technical analysis, peer reviews, and guidance for fellow engineers.

Leads the technical strategy, architecture, implementation, and delivery of a scalable ecommerce platform for vehicle discovery, configuration, checkout, payments, order management, fulfillment, and ownership experiences. Builds and tests distributed systems, drives code quality and technical decisions, partners with product and UX teams, simplifies complex problems, and mentors engineers while balancing customer impact, business needs, and long-term technology excellence.

Develop and maintain enterprise applications supporting creator rights and royalty payments. Own features across Vue.js front ends and Java/Spring Boot back ends, participate in architecture and Agile development, write and review code, design and test data-driven solutions, improve engineering standards, collaborate with stakeholders, mentor junior engineers, and work with large-scale data, AWS services, distributed systems, and microservices.

Lead design, implementation, and operation of Signifyd's GCP/Kubernetes cloud platform. Architect scalable, secure infrastructure, embed AI-driven automation, own SLOs and incident response, improve developer experience via CI/CD/GitOps tooling, mentor engineers, manage cloud capacity/FinOps, and build observability and security into the platform.

Build and maintain full-stack donor-facing giving forms, payment flows, recurring giving, memberships, and administrative tools. Own projects from architecture through production support, ensuring reliability, accessibility, performance, and data integrity. Collaborate with product managers, designers, and engineers; mentor junior engineers; contribute to technical standards, security monitoring, hiring, and rotational on-call support. Potentially serve as a Tech Lead for roadmap implementation and technical decision-making.

Design, develop, and maintain Java-based backend services and APIs for KeeperApp. Own backend components, optimize MySQL schemas/queries, ensure performance and reliability, apply secure coding practices, participate in code reviews, and collaborate with product and engineering teams to deliver features iteratively.

Remote Senior Software Engineer who evaluates Microsoft and complementary technologies, designs and implements custom software (C#, JavaScript, SQL), applies cloud and DevOps practices (Azure/AWS, CI/CD, containers), mentors and networks professionally, and continuously learns and advises clients.

Lead development of the production toolchain that compiles complex Python packages (e.g., NumPy, SciPy, PyTorch). Build and maintain build/release pipelines, create and review conda recipes, automate processes, mentor engineers, run incident response and postmortems, and advise leadership on technical tradeoffs. Partner with distribution and wheels teams and validate AI-assisted code where used.

Design, build, and scale embedded connectivity and security for distributed energy devices. Implement networking (Ethernet/Wi‑Fi/Thread/Zigbee/BLE), secure provisioning, OTA firmware pipelines, telemetry, and diagnostics. Support testing, certification, manufacturing validation, and cross-functional collaboration from prototype to deployment.

Lead design and implementation of gameplay and engine systems on Linux platforms. Mentor engineers, define technical specs, manage Linux infrastructure, optimize performance and security, integrate art, maintain documentation, support live services and mobile (iOS/Android) ports, and coordinate cross-team standards and tooling.

Seeking a Staff Software Engineer to design and build cloud-deployed systems. Must have extensive programming and leadership experience in software engineering.

Expert-level software engineer responsible for writing secure, resilient code, coaching peers, reviewing designs and pull requests, ensuring SDLC compliance, driving testing and performance practices, contributing architecture feedback, liaising with stakeholders, and maintaining regulatory and internal control standards.

The Senior Software Engineer, Protocol will architect and develop core protocol components for a blockchain while optimizing distributed systems. Responsibilities include enhancing performance, solving distributed systems problems, and contributing to engineering standards in collaboration with research and product teams.

Develop and maintain scalable software solutions, mentor developers, and integrate AI tools. Collaborate on technical solutions aligned with business goals.

Lead development of automated API, UI, and end-to-end tests for a real-time trading platform. Extend AI-assisted test generation, build scalable CI/CD test frameworks for order lifecycles and market-data streams, reduce flakiness, triage failures, mentor engineers, and drive quality and testability across the product.

As a Senior Software Engineer, you will develop key product features for millions of users, collaborate with teams, and mentor others.

Lead development of AI-powered full-stack applications, mentor engineers, define technical direction, build performant front-end and scalable backend services, integrate LLMs/RAG, and establish engineering best practices for production AI workflows.

Design, build, and operate large-scale distributed web-crawling and data ingestion systems. Improve throughput, reliability, observability, and data quality. Develop backend services for job orchestration and asynchronous workloads, partner with product teams to create data products, and mentor teammates on domain-specific acquisition techniques.

Build and iterate growth experiments, onboarding flows, promotions, and re-engagement campaigns. Design and integrate services/APIs and cloud infrastructure, instrument and analyze product data, apply AI where useful, improve system reliability, and mentor peers to drive activation, engagement, retention, and monetization.