Top Software Engineer Jobs

The Salesforce Technical Architect will design and implement Agentforce solutions, collaborating with various stakeholders to enhance business outcomes through AI-driven strategies.

As a Salesforce Technical Architect, you'll design and execute technical solutions using Agentforce, collaborating with teams to address business needs while overseeing project lifecycles from design to deployment.

Design and implement AI-driven applications using Verint technology, working with cross-functional teams to enhance customer experience and operational efficiency.

As a Principal Software Engineer, you will architect AI-enabled systems, mentor teams, and guide technical decisions for scalable products.

The Gen AI Data Engineer will design and build distributed data systems, develop data pipelines, manage data infrastructure, and integrate technologies for real-time and batch processing, contributing to scalable analytics solutions.

As a Senior Software Architect, you will set the technical direction for client products, lead the integration of AI in development workflows, ensure system scalability and security, and mentor teams while aligning architecture with product strategies.

Lead backend engineering for a cloud-native, data-intensive finance and P&L platform. Build and operate services (Java/Scala/Python) on Databricks and cloud, design secure scalable APIs, collaborate with finance and UI teams, and apply engineering best practices and AI/ML where valuable.

Design, build, test, deploy, and maintain cloud-based applications, microservices, and infrastructure. Ensure application performance and quality, fix bugs, write automated tests, and collaborate on new features. Use AI-assisted development tools daily and implement IaC and modern architecture patterns to deliver secure, maintainable code.

Lead technical strategy and architecture for data-centric solutions across programs. Oversee data acquisition, harmonization, processing, storage, analysis, dissemination, and product lifecycle. Serve as technical lead/Product Owner, define enterprise data standards, decompose backlogs, prioritize features, advise leadership on analytics opportunities, and ensure mission-focused delivery within high-clearance environments.

Build and maintain AI-enabled execution systems: workflow automation, integrations, APIs, data, and lightweight UIs. Use low-code platforms and AI-assisted tools to deliver reusable, observable, and supportable solutions, participate in agile sprints, and produce documentation and runbooks for operational handoffs.

Develop and enhance user-facing features for an LLM observability platform using React and TypeScript. Build reusable components and front-end libraries, translate designs into performant UI code, optimize cross-device/browser performance, and collaborate with backend engineers and designers to improve usability.

Build and maintain AI-enabled, reusable execution systems spanning APIs, integrations, workflow automation, low-code platforms, and lightweight UIs. Use AI-assisted development tools, ship with operability (logging, monitoring, runbooks), create reusable patterns, and collaborate in agile sprints producing documentation and clean handoffs.

Lead design and delivery of scalable, cloud-native platform capabilities and ML integrations. Drive full SDLC (design, coding, testing, CI/CD, deployment, monitoring), mentor engineers, influence architecture, and build resilient ML pipelines and AI-driven applications.

Design, build, and operate scalable data pipelines and storage/indexing for an AI-driven legal platform. Implement queue-based asynchronous processing, multi-tenant architectures, observability, migration strategies, and system design documentation. Collaborate across engineering, product, and security to ensure data reliability, performance, and operational readiness.

Lead and develop a high-performing engineering team for software solutions in AI and cloud technologies. Oversee delivery, security compliance, and operational excellence while mentoring talent and driving innovation.

The Engineering Manager will lead teams in developing and managing Blackbaud's Data & AI platform, focusing on scalability, security, and cost-efficiency.

Modernize and maintain Magnus and Goliath platforms across Java, Go, and JavaScript. Build AI-powered features (LLMs, tool-calling), integrate BigQuery, GCP, MySQL and internal APIs, diagnose production issues, write automated tests, and own projects end-to-end from design through deployment and support.

Lead North America execution of AI-first SDLC transformation and quality platforms for a multi-tenant SaaS identity product. Define system validation and quality platform strategy, enable agentic quality workflows, drive shift-left developer-owned testing, own CI/CD quality gates and telemetry, improve production readiness and release confidence, and hire and coach senior technical contributors while partnering across Dev, SRE, DevTools, Product, and AI teams.

Lead architecture and development of scalable full-stack applications and distributed backend services (TypeScript/React/Node/GraphQL). Drive technical strategy, cross-functional collaboration with manufacturing, robotics, and operations teams, establish engineering best practices, mentor engineers, and deliver production-grade, reliable, observable software for factory and manufacturing platforms.

Design, build, and maintain custom applications using Google AppSheet; integrate apps with Excel and SQL databases; gather requirements from stakeholders; implement workflows, dashboards, and data models; monitor and optimize app performance; provide user training and documentation; apply AI and process-improvement methods to automate and enhance PMO operations.

The role leads application systems analysis and programming, drives architecture strategy, evaluates technologies, and influences senior stakeholders in the investment domain.

As a Senior Full Stack Developer, you will build an AI voice agent SaaS platform, work across the stack, lead through code quality, and automate development processes.

Lead architecture, development, and operational health of enterprise applications and AI platforms. Mentor junior engineers, set coding and security standards, evaluate new technologies, perform code reviews, and drive platform reliability, performance, and documentation across the organization.

Design and implement complex backend services for Binance Square. Collaborate with product, DevOps, and QA to deliver high-quality microservices, promote engineering best practices, and perform code reviews.

Early-career full stack engineer role to build end-to-end product features, integrate AI coding tools into the workflow, mentor peers, improve cross-team efficiency, and contribute across the product lifecycle from design through deployment.