Top Software Engineer Jobs

Lead the engineering team to develop Tulip's new agent-native app-building product, managing technical architecture and fostering AI-driven development practices.

Build and own the decision engine powering hospital staffing recommendations, alerts, and workflows. Design systems that balance staffing rules, hospital policies, patient needs, and operational constraints. Partner with product, design, engineers, and clinical leaders to create explainable, trustworthy automation. Improve the product through customer feedback, production data, and real-world outcomes while determining where automation should end and human judgment should remain.

Owns the architecture, design, development, integrations, and implementation of complex ServiceNow solutions. Configures platform components, establishes development standards, resolves complex issues, maintains Service Portal pages, and partners with stakeholders to deliver scalable, upgrade-safe solutions. Requires advanced JavaScript, ServiceNow administration and development expertise, API integration experience, and knowledge of ITIL and Customer Service Management processes.

Leads and develops a software engineering team through coaching, feedback, hiring, and career growth. Partners with product and engineering leadership on priorities, execution, architecture, and technical strategy. Reviews system designs, evaluates tradeoffs, supports code reviews, and drives improvements in scalability, reliability, performance, testing, and engineering processes. Works remotely with cross-functional leaders to deliver and maintain veterinary software products.

Build and optimize distributed compute infrastructure for large-scale analytical and AI workloads. Responsibilities include improving query execution, scheduling, resource allocation, reliability, workload routing, and compute efficiency across Spark and related systems. The role involves debugging performance bottlenecks, optimizing joins, scans, shuffles, caching, partitioning, and memory usage, and working with lakehouse formats and cloud object storage. Candidates will implement workload optimization algorithms and may contribute to open source or research.

Leads a full-stack engineering growth pod, owning its roadmap, delivery quality, team culture, hiring and career development. The manager remains hands-on by writing and reviewing code, shaping architecture, coaching engineers, and participating in technical decisions. The team rapidly experiments with product experiences, using data-driven insights to help people discover and understand Atticus services. The role partners closely with product, design, and data science while operating in an ambiguous, resource-constrained startup environment.

Own technical strategy and architecture for agent infrastructure, tax computation, data pipelines, evaluation systems, and filing workflows. Design and ship highly available, correctness-critical systems; lead infrastructure investments; make build-versus-buy decisions; create technical roadmaps; advise founders and engineering leadership; and raise engineering quality through designs, code, reviews, and technical direction without direct authority.

Build and support partner-facing API integrations across Bilt’s payments, loyalty, commerce, and subscription ecosystem. Write production Java, SDKs, reference implementations, documentation, and prototypes; troubleshoot cross-system issues; define API contracts and architectures; support testing and launches; lead technical demos; and advocate internally for partner and platform improvements. The role requires close collaboration with partner engineers, product, sales, partnerships, and support teams.

Own the end-to-end process of transforming partner workflows into evaluation datasets and reinforcement learning environments. Work directly with AI researchers, executives, and organizational leaders to identify capability gaps, manage technical and relationship lifecycles, shape the product roadmap, and build reusable infrastructure that improves partner onboarding. The role requires strong engineering, communication, systems thinking, judgment, ownership, and comfort in an ambiguous, high-intensity environment.

Build and deploy AI-driven automations, agents, integrations, and workflows for logistics clients. Conduct operational discovery, integrate with TMS, WMS, and ERP systems, tune prompts and voice or transcription models, debug production issues, and translate recurring customer needs into reusable platform capabilities. The role requires rapid software delivery, direct collaboration with nontechnical stakeholders, and travel to client engagements and the Chicago office.