Top Senior Software Engineer Jobs

Senior Software Engineer responsible for designing scalable, reliable, observable, and well-tested backend or distributed systems. The role requires expertise in C, C++, or Rust; data modeling, APIs, service-oriented architectures, SQL, networking, and infrastructure. The engineer will work in AI-assisted development workflows, validate AI-generated code, contribute to architecture and technical direction, document designs, mentor peers, and collaborate across Product, UX, and Engineering.

Leads design, development, modernization, testing, deployment, and production support for business-critical IBM z/OS applications. Builds and maintains COBOL batch and online systems using CICS, JCL, and VSAM; drives Git-based CI/CD, test automation, security, resiliency, and performance improvements. Provides technical leadership without direct people management, reviews designs and code, supports API and cloud integration, leads incident analysis, and ensures compliance with operational, risk, audit, and change-management standards.

Leads global software engineering teams delivering enterprise applications and modernization projects. Responsibilities include technical design, architecture, requirements analysis, development lifecycle leadership, troubleshooting, testing, deployment planning, documentation, stakeholder collaboration, interviewing, and team development. The role requires designing scalable software, managing multiple complex projects, and guiding teams through Agile delivery.

Leads a 10–12 person engineering team building Java and AWS cloud-based geospatial microservices. Establishes engineering standards, oversees architecture and delivery, mentors developers, and drives Agile, DevSecOps, CI/CD, automated testing, and cloud-native practices. Designs scalable services for geospatial querying, analytics, ETL, visualization, and mission applications while integrating AI and ML capabilities. Collaborates with stakeholders, manages technical execution, conducts reviews, and supports secure, reliable enterprise systems.

Design, develop, and deploy scalable full‑stack web applications. Lead architecture and technical planning, build React UIs, implement backend services in Python/Go, optimize PostgreSQL schemas, leverage AWS, mentor engineers, and own features end‑to‑end in an Agile environment.

Develop and maintain BCycle software across front-end, back-end, databases, external APIs, mobile applications, and station integrations. Design scalable and reliable solutions, conduct code reviews, mentor engineers, collaborate with product and QA teams, participate in Scrum ceremonies, support deployments and on-call operations, troubleshoot production issues, and improve engineering practices and system performance.

Owns data infrastructure for storage, lineage, governance, lifecycle controls, customer data commitments, and cost attribution. The role maps data flows across services, clouds, queues, databases, analytics systems, and third parties; builds policy and identity propagation; enforces retention, deletion, export, and legal holds; develops Terraform modules, libraries, schemas, and automated guardrails; and enables sales, support, legal, security, and finance teams to self-serve reliable data and cost answers.

Develops and maintains secure, accessible iOS and Android applications using React Native and TypeScript. Participates throughout the software development lifecycle, including requirements, design, coding, testing, deployment, and release management. Applies mobile security and healthcare privacy practices, uses AI tools responsibly, promotes engineering standards, troubleshoots performance issues, and mentors colleagues through collaboration, code reviews, and knowledge sharing.

Design, build, and operate scalable, production distributed systems for publisher onboarding, ad quality, and monetization. Gather requirements, write reusable code, break down work, act as on-call DRI, and improve availability, performance, and observability while leveraging cloud and AI/ML technologies.

Design and operate production infrastructure for AI agent systems, including high-performance Rust services for model inference, orchestration, and execution. Build scalable distributed systems, MLOps capabilities, observability, guardrails, and failure recovery for millions of users. Optimize latency, throughput, reliability, and cost while partnering with agent systems and infrastructure teams to harden experimental prototypes for production.

Build and own end-to-end features for a fast-paced mobile cryptocurrency trading app. Design scalable, high-performance, secure backend and full-stack systems; solve distributed systems and data-processing challenges; improve product efficiency; and collaborate autonomously with a small remote team across time zones.

Architect and build CADET’s production system for customer-grounded Copilot evaluations. Own end-to-end architecture spanning customer-signal capture, data enrichment, evaluation generation and execution, quality attribution, reporting, observability, and retention. Develop scalable services and pipelines, establish schemas and data contracts, automate quality gates, implement human-in-the-loop controls, and ensure privacy, security, reliability, reproducibility, and regression protection. Provide principal-level technical leadership across engineering, science, product, and platform teams while mentoring engineers and driving reusable capabilities.

Designs, implements, and leads large-scale distributed systems and foundational AI infrastructure. Responsibilities include technical strategy, architecture, observability, security, testing, production automation, incident resolution, open-source collaboration, cross-team influence, mentoring, and improving infrastructure for AI workloads such as model inference.

Build and operate data services, pipelines, schemas, dashboards, metric APIs, and AI-powered tools that measure and improve software engineering productivity. Partner with development teams to define productivity metrics, ensure data quality and privacy, develop analytics and MCP capabilities, and apply disciplined AI-first engineering practices. Responsibilities include improving technology stacks, validating AI-generated code, monitoring production systems, and translating quantitative and qualitative user feedback into secure, actionable insights.

Lead development of core backend systems for a high-volume messaging platform, including routing, delivery, automation, and queue-based infrastructure. Build reliable, high-performance services and launch new product areas from concept to production. Work closely with a small engineering team, drive technical projects independently, and solve complex infrastructure challenges.

Build and operate headless Shopify e-commerce experiences for Lume and Mando. Lead storefront initiatives, own technical quality, make architecture decisions, integrate third-party SaaS platforms, debug across the stack, and improve performance, reliability, observability, and testing. Translate business needs into technology, build consensus across teams, create reusable engineering frameworks and documentation, and mentor less experienced engineers. The role focuses on storefront performance, subscriptions, loyalty, experimentation, and revenue-generating digital commerce.

Lead the technical vision, architecture, and roadmap for Galileo, a large-scale simulation platform supporting autonomous-driving development. Design distributed systems for simulation orchestration, test management, result analysis, data processing, visualization, and developer tooling. Drive cross-functional initiatives, improve performance and reliability, establish operational excellence, mentor engineers, and influence architecture across teams. The role requires building scalable production platforms and translating customer needs into effective technical strategies.

Develop scalable backend services, APIs, event-driven workflows, metadata pipelines, configuration tools, deployment controls, and observability for vehicle data collection across fleets. The role owns production systems, improves data quality and campaign monitoring, leads cross-team technical initiatives, and contributes through architecture reviews, testing, code reviews, mentorship, and production support. Collaboration spans AI research, data engineering, vehicle engineering, autonomy, privacy, product, and operations teams.

Staff Software Engineer responsible for designing, building, and maintaining robust SaaS applications and REST APIs. The role involves solving complex system-level problems, developing in Python, working with big data technologies, optimizing infrastructure, and delivering features through continuous delivery. Responsibilities include leading large technical initiatives, mentoring engineers, improving engineering practices, collaborating with product teams, and integrating AI-powered development tools and potentially AI/ML capabilities into production systems.

Develops secure, scalable full-stack and cloud-native applications using Java, JavaScript, TypeScript, Angular, Vue, React, Node.js, AWS, APIs, and microservices. Designs and deploys enterprise solutions, integrates relational and NoSQL databases, implements CI/CD, testing, monitoring, and observability, and supports multiple corporate initiatives. Responsibilities include technical analysis, application design, documentation, user acceptance testing, post-installation testing, and project planning.

Develops and architects complex, scalable software solutions using Java, Spring, Kafka, Oracle, microservices, cloud platforms, and modern UI frameworks. Leads application architecture, testing, CI/CD, infrastructure automation, project planning, risk management, documentation, and technical strategy. Coordinates multiple projects, resolves business and technology issues, mentors junior engineers, and delivers secure, high-quality applications within Agile environments.

Develops and supports complex backend applications, APIs, test automation frameworks, and cloud solutions using Python and AWS or Azure. Designs application architecture, data lakehouse pipelines, messaging integrations, and CI/CD workflows. Leads technical analysis, QA readiness, documentation, project planning, risk management, and stakeholder coordination. Advises management on technical strategy, resolves technology issues, and mentors junior engineers. Requires expertise with FastAPI, Flask, Spark, Delta Lake, Snowflake, Kafka, Python data libraries, BI tools, Oracle DB, and DevOps platforms.

Designs and develops complex brokerage regulatory reporting applications using KDB, Q, Java, Python, AWS, Spring Boot, and Kafka. Defines application architecture, translates business requirements into technical solutions, supports QA readiness, manages project plans and risks, and ensures regulatory compliance with FINRA CAT requirements. Provides technical leadership, documentation, stakeholder liaison, senior-management advisement, and mentorship across multiple projects.

Designs and develops cloud-based trade flow and order management applications using Java, Spring Boot, AWS, microservices, Kubernetes, Docker, Kafka, and multiple database technologies. Leads architecture, testing, documentation, project planning, risk management, and technical strategy across complex initiatives. Ensures software quality and delivery, advises management, resolves technology issues, and mentors junior engineers.

Designs, develops, tests, documents, and maintains scalable full-stack applications and middleware for financial services. Builds web interfaces, APIs, distributed systems, cloud-native applications, and CI/CD pipelines using multiple programming languages, databases, and cloud platforms. Collaborates with architecture, data services, product, design, and engineering teams to deliver business solutions, improve application performance, and support investment processes.