Top Software Engineer Jobs

Build and maintain MongoDB’s distributed database infrastructure for cluster scalability. Design data partitioning, data movement, dynamic scaling, workload execution, and resilient distributed protocols. Solve complex performance and low-latency systems problems, contribute production-quality C++ code, participate in design and code reviews, lead new feature development, and mentor engineers.

Leads enterprise accessibility engineering strategy for Spectrum’s digital products. Embeds accessibility standards into design and engineering processes, oversees automated and manual testing, guides remediation and AI-enabled innovation, and partners with Compliance and cross-functional teams. Manages accessibility roadmaps, budgets, contractors, vendors, performance targets, product initiatives, and executive communications while developing leaders and advancing accessible customer experiences.

Develop and maintain high-performance C++ backend systems for Celonis’s query engine and core mining platform. Responsibilities include designing query optimization, transaction management, and distributed data processing algorithms; resolving scalability bottlenecks; implementing parallel execution and resource management; improving database reliability and performance; mentoring engineers; reviewing code; and delivering production features.

Design, build, and operate Vercel’s Workflows, Queues, and Cron platform capabilities. Develop APIs, SDKs, and tooling for durable, event-driven, and scheduled workloads. Solve distributed-systems challenges involving message delivery, retries, execution, state, concurrency, and fault tolerance. Collaborate with product, infrastructure, and developer experience teams, engage with developers and open-source communities, and maintain high standards for tested code, technical communication, and production ownership.

Develop and support Manufacturing Execution Systems across multiple manufacturing sites. Responsibilities include Ignition application development, MES implementations, requirements gathering, testing, deployment, troubleshooting, process standardization, stakeholder training, and continuous improvement. The role also analyzes and enhances software code, supports production systems, and translates manufacturing requirements into functional MES solutions.

Design, develop, optimize, deploy, and maintain high-performance market data and automated trading systems. Process raw market data feeds, implement CME and Cboe exchange protocols, and optimize concurrency, throughput, scalability, and ultra-low-latency performance. Collaborate with traders, quantitative researchers, analysts, and engineers while supporting critical applications, automated testing, peer reviews, and best practices. Coach junior engineers and take ownership of projects from design through maintenance.

Owns end-to-end EDI integration implementations, including requirements analysis, mapping, development, testing, deployment, monitoring, troubleshooting, and post-production support. The role serves as an integration subject matter expert, develops sustainable data transformation solutions, manages implementation workflows, mentors integration specialists, and collaborates with business, product, and technical stakeholders. Experience with Cleo Integration Cloud, CIC Studio, EDI tools, JSON, databases, and advanced integration methods is required.

Build and scale client-facing and internal servicing applications used by millions of homeowners. Own full-stack features from problem definition through production deployment, measurement, and iteration. Develop with Next.js or React, NestJS, and GraphQL; operate applications on AWS and Amazon EKS through CI/CD. Apply AI-assisted development workflows, contribute to architecture and technical strategy, collaborate across teams, mentor engineers, and participate in production on-call support.

Design and implement scalable, secure, high-performance software systems and public-facing APIs. Lead system design, apply agentic coding workflows, collaborate with Product and Data Science, mentor engineers, and own initiatives improving efficiency, performance, and customer satisfaction. The role requires extensive experience with highly available distributed systems, API versioning and rate limiting, modern backend and frontend technologies, AWS, and Domain-Driven Design.

Develop, test, deploy, and maintain full-stack enterprise applications using modern programming languages, frameworks, and DevSecOps practices. Integrate AI capabilities such as generative AI APIs and machine learning models, participate in code and design reviews, collaborate with agile teams to refine requirements, and troubleshoot production incidents. The role requires software development experience, object-oriented programming, relational databases, and SQL, with preferred exposure to cloud, CI/CD, application security, and AI/ML technologies.