Top Software Engineer Jobs

Lead and architect production-grade trading systems for Credit Pre-Trade Technology, build AI-native platforms, develop and maintain secure scalable code, partner with trading and product teams, drive AI-assisted engineering practices, support production stability and automation, and lead technical evaluations and communities of practice.

Lead Software Engineer designs, develops, and delivers secure, scalable cloud-native applications (Python/Java/React/AWS). Leads architecture reviews, promotes AI-assisted engineering practices, drives CI/CD and automation, mentors teams, evaluates vendors, and improves operational stability and resiliency.

Lead design, development, deployment, and support of secure, scalable cloud-native Java/Spring Boot microservices on AWS. Build REST APIs, event-driven integrations with Kafka, promote CI/CD, observability, secure coding, and enterprise AI-assisted engineering practices; troubleshoot and mentor engineers.

Lead design, develop, and deliver secure, scalable production software. Drive architecture evaluations, improve operational stability via automation, and champion AI-assisted engineering practices. Mentor teams, enforce secure SDLC/CI/CD standards, and integrate cloud-native solutions using Python, Java, React, and AWS.

Lead the design and implementation of AI-enhanced, pixel-perfect React front-end interfaces for large-scale internal tools. Own and maintain code quality, performance, accessibility (WCAG), testing, and CI/CD practices. Collaborate with product, design, and backend teams, mentor junior engineers, and drive responsible adoption of enterprise-authorized AI-assisted development tools.

The Chief Architect leads the technical design and architecture for application engineering, oversees development, integration of best practices, and manages project documentation.

Lead Appian implementation teams to design, develop, and test scalable solutions. Advise clients on architecture, DevSecOps, integrations, and configuration management. Mentor teams, create best practices, support internal tools, and drive process improvement.

Design, develop, debug, and document complex software for semiconductor equipment components and devices. Create test procedures, specifications, and test plans for simulators, test benches, and lab environments. Troubleshoot software issues, implement fixes, analyze requirements, coordinate schedules, and communicate with internal and external customers. The role applies software engineering, machine learning, and AI concepts to semiconductor and display technology solutions.

The VP of Engineering will own engineering strategy, architecture, scaling, hiring, performance management, and people development. This hands-on leader will write and review code, establish technical direction across two pods, develop engineers into technical leads, represent engineering to executives, and partner cross-functionally to prioritize and deliver critical work. Experience in healthcare, HIPAA, or SOC 2 environments is preferred.

As a Lead Software Engineer, you'll design and develop GenAI platforms, integrate LLMs, mentor engineers, and solve technical challenges for scalable solutions.

You will lead the Mobile AI engineering team, defining roadmaps, improving product quality, and collaborating cross-functionally to deliver mobile AI solutions.

As a Graduate Engineer, you'll design and develop AI agents and features while learning finance operations, coding best practices, and developing APIs in a collaborative environment.

Develop AI agents for finance workflows, design APIs, enhance engineering practices, ensure data security, and facilitate user collaboration.

Lead technical strategy and architecture for CoreWeave's orchestration platform (SUNK). Own critical orchestration components, drive cross-org initiatives in scheduling, quota enforcement, and hyperscale scaling. Mentor senior engineers, establish reliability and observability best practices, and ensure workloads run reliably and efficiently for large GPU ML training and inference clusters.

Lead and scale engineering across application, backend, infrastructure, and data teams. Responsibilities include hiring and developing engineers, guiding architecture and system design, driving reliable product execution, establishing engineering standards, shaping platform strategy, and partnering with AI, product, and customer-facing teams. The role also requires maintaining strong reliability, security, and privacy practices for clinical patient data.

Leads Roku’s global Enterprise Engineering organization across custom applications, integrations, enterprise data, productivity platforms, and AI enablement. Sets technical and architectural direction, establishes cloud-native and secure engineering standards, develops agent-ready systems, drives AI-first engineering adoption, reshapes teams around outcomes, and coaches distributed engineering leaders. Owns enterprise governance, security, audit, compliance, and major cross-system initiatives while influencing executive stakeholders and transforming organizational operating models.

The role involves developing advanced computational methods for semiconductor manufacturing, leading innovation, and scaling software for high data processing needs.

Provides technical leadership for application development, support, and intelligent automation platforms. Leads software engineers and architects; owns strategy, roadmaps, governance, architecture, standards, and adoption for UiPath, ServiceNow, Power Automate, Copilot Studio, and AI integrations. Partners with business and IT stakeholders to prioritize automation opportunities, manage budgets, ensure application stability, and drive Agile software delivery, DevOps, security, technical debt management, and continuous improvement.

Build and own AI-powered research-enablement tooling, shape the engineering roadmap, make architecture decisions, establish engineering processes, and help scale the team. The role partners closely with research, sourcing, engineering, and the CEO to improve report-production speed and product adoption. Responsibilities also include delivery planning, communicating risks, designing technical interviews, and developing external API or MCP capabilities.

Support development of web and mobile applications, APIs, automation tools, and AI/ML integrations. Write, test, review, and document maintainable code; troubleshoot issues; optimize performance in cloud environments; assist with model deployment and validation; and collaborate with hardware, firmware, and product teams under mentorship.

Develop, integrate, test, deploy, and maintain scalable end-to-end analytics applications for federal government customers. Collaborate with data scientists and mission analysts to build front-end and back-end tools, operationalize data science, and support analyst workflows. Work with customer architectures, data repositories, big data, machine learning, and application development processes, including requirements analysis, design, implementation, testing, integration, deployment, and maintenance.

Lead development of agentic-AI capabilities and an evaluation/provenance harness to safely automate bulk code changes. Design CI/CD integrations, PR-provenance controls, observability, test/eval tooling, rollout of standards, and operational support to scale machine-authored changes while ensuring auditability, security, and reliability.

Design and build highly scalable cloud-native microservices and platform components for AI Detection and Response, ensure reliability through testing and root-cause analysis, integrate with CrowdStrike services/APIs, mentor engineers, and drive operational excellence for production systems handling massive event rates.

Lead design, build, and operation of AI-powered Growth experiences (conversational onboarding and AI-driven email). Own technical strategy for an AI Voice Agent and ACE-powered email systems, design APIs and frontend/backends, partner cross-functionally, establish applied-AI engineering patterns, measure impact, and mentor engineers to improve product quality and responsible AI use.

Configure, integrate, and deploy the BT tool stack (Snowflake, Salesforce, Streamlit, workflow tools). Build integrations and Streamlit apps, deploy AI-enabled automations, maintain Snowflake data models and reports, catalog assets with DataHub, implement SDLC/testing/guardrails, ensure data security, and partner with Engineering/InfoSec while mentoring BT team members.