Top Software Engineer Jobs

Develop Windows applications and complex software for national security and computer network operations. Collaborate with AI/ML and software engineering teams, apply network operations expertise, manage software lifecycle activities, and design, test, validate, and deploy Windows-focused solutions. The role requires object-oriented programming experience, strong C/C++/C# skills, familiarity with Rust or Python, and a TS/SCI clearance with polygraph.

Lead a product-focused engineering team building WorkOS Dashboard features for onboarding, growth, billing, monetization, and AI assistance. Responsibilities include technical strategy, architecture, prototyping, product decision-making, customer discovery, roadmap development, hiring, mentoring, and team growth. The role partners closely with product, design, finance, go-to-market, recruiting, and engineering teams while balancing rapid delivery with reliability, billing correctness, and AI quality.

Leads the global Shop Floor Control and MES engineering organization across wafer fabs. Defines the technology strategy and roadmap, oversees delivery, modernizes legacy platforms, and partners with manufacturing and automation teams. Provides technical direction for production execution, lot tracking, equipment integration, WIP management, data collection, and factory event processing. Builds organizational capability through hiring, coaching, and succession planning while ensuring scalable, resilient, secure, and standardized manufacturing systems.

Participate in a 12-week primarily remote technical internship, contributing to projects in software engineering, AI/ML, cloud and DevOps, cybersecurity, data, or research. Interns collaborate with technical teams, participate in Agile ceremonies, receive mentorship, develop and document solutions, communicate progress, and present a final capstone project. Attendance at a required onsite summit in Bridgeport, West Virginia is included.

Manages secure desktop and web application integrations, automation, APIs, and vendor-supported systems. Designs, develops, tests, documents, upgrades, and troubleshoots integrations while supporting application security assessments, vulnerability resolution, and compliance. Collaborates with business teams to translate processes into technology requirements, evaluates new applications, writes maintainable code, and provides technical support. Preferred experience includes PowerShell automation, API development tools, AI and bot development, cloud SaaS, and complex SQL.

Deploy Nexus enterprise AI software for customers, from technical discovery through production validation and handoff. Build integrations, Python and SQL transformations, notebooks, APIs, and automation; validate data pipelines and semantic models; resolve technical issues; document and stabilize deployments; communicate with customer stakeholders; and convert recurring deployment challenges into reusable engineering improvements.

Build and productionize data and AI applications on Palantir Foundry for biomedical domain teams. Responsibilities include designing data pipelines, transformations, ontology models, workflow applications, integrations, access controls, data quality checks, and production monitoring. The role leads discovery and iterative delivery, partners with product, data, governance, and platform teams, supports user adoption, and creates reusable delivery patterns. Candidates need strong programming, data and application engineering, stakeholder management, and biomedical domain experience.

Designs scalable systems, leads end-to-end technical execution, drives cross-team initiatives, and contributes hands-on production code. The role maintains engineering standards across architecture, testing, CI/CD, observability, and DevOps; leads incident response and root-cause analysis; mentors engineers; troubleshoots production issues; and aligns technical delivery with product priorities.

Leads distributed, cross-regional software engineering teams responsible for Conference Tech platform integrations. Drives the integration roadmap, cloud architecture, API-centric and event-driven platform development, engineering excellence, SDLC rigor, quality, responsible AI adoption, and organizational change. Partners with business and IT leaders to deliver secure, scalable enterprise solutions aligned with strategic priorities and improved conference attendee experiences.

Leads engineering managers, software engineers, architects, data engineers, and support teams responsible for enterprise fraud technology platforms. Oversees real-time fraud detection, transaction monitoring, risk scoring, identity and payments fraud controls, case management, and 24x7 operations. Sets technology strategy, budgets, governance, SLAs, security, resiliency, and modernization standards. Drives cloud-native architecture, CI/CD, Infrastructure as Code, SRE, observability, event-driven systems, and real-time analytics while partnering with risk, cybersecurity, compliance, fraud operations, and business leaders.

Leads engineering strategy, teams, budgets, modernization, and operational accountability for enterprise AML technology platforms. Oversees transaction monitoring, risk scoring, investigations, case management, regulatory reporting, and financial crime detection capabilities. Drives cloud modernization, resiliency, security, CI/CD, Infrastructure as Code, SRE, observability, advanced analytics, machine learning, and graph analytics. Partners with AML Operations, Compliance, Risk, Cybersecurity, Audit, and business leaders while managing vendors, governance, controls, talent development, and platform performance.

Develops, tests, and optimizes signal-processing and physiological measurement algorithms for medical devices. Analyzes clinical and physiological datasets, performs modeling and experimentation, and supports algorithm development from feasibility through validation and product integration. Collaborates with software, hardware, systems, clinical, and quality engineering teams, and contributes to clinical data collection and human-subject study analysis.

Develop and maintain GUIs, dashboards, AWS applications, automated workflows, and AI/ML integrations. Responsibilities include coding, testing, debugging, software integration, requirements analysis, database querying, documentation, and process improvement. The role requires collaboration throughout the software development lifecycle and a current active TS/SCI clearance with a Maryland polygraph.

Develop full-stack applications and complex technical architectures using Java, Spring, Python, and AWS. Design, implement, and manage cloud solutions; explore AI and machine learning technologies; collaborate with teams and stakeholders; define technical vision; solve complex issues; and work in Agile environments using JIRA. The role requires an active TS/SCI with Polygraph clearance and a bachelor’s degree.

Lead a small engineering team while remaining hands-on in production coding. Deliver scalable product features, make architecture decisions with the CTO, apply AI-assisted development workflows, mentor engineers, and contribute to machine learning and product roadmaps. The role requires full-stack expertise with backend strength, applied machine learning knowledge, startup or core product ownership, and on-site work in New York City.

Develops and maintains database systems, analytical tools, data visualizations, reporting processes, and data governance practices for pavement research. Collaborates with research staff to improve data collection, processing, analysis, and presentation. Integrates artificial intelligence into analytical workflows, supports automated reporting, documents software and data workflows, and implements new technologies and infrastructure for continuous improvement.

Lead and scale the engineering organization during rapid growth. Responsibilities include hiring and coaching engineering managers, designing organizational structures across time zones, establishing planning and performance processes, partnering with leadership on workforce strategy, and representing engineering externally. The role requires technical judgment in applied AI and production infrastructure, experience scaling engineering teams, strong communication, and on-site work in New York City.

Lead engineering teams and technology projects that build reliable, cloud-native, full-stack systems. Design and implement distributed microservices, APIs, databases, and shared cloud platforms using Java, Python, AWS, containers, and modern AI tools. Provide technical leadership on architecture, resilience, observability, performance, coding standards, platform roadmaps, and enterprise technology strategy while mentoring engineers and partnering with product and architecture leaders.

Leads engineering execution across multiple teams, sets technical direction, drives 0-to-1 product initiatives, embeds AI tooling into development workflows, and develops future engineering leaders. Partners with product, design, and recruiting to deliver high-quality software, make architectural decisions, scale platform capabilities, and connect engineering outcomes to customer and business results. This is a hybrid role requiring commutability to the NYC headquarters and in-office attendance three to four days weekly.

Develop and maintain full-stack applications, including front-end interfaces, back-end services, REST APIs, Oracle database solutions, and AI-assisted development workflows. Participate in requirements analysis, design, testing, deployment, troubleshooting, security, and operational support. Collaborate with technology teams and business users, apply Agile practices, assess risks, and mentor junior analysts while operating with substantial autonomy.

Build complete applications, workflow automations, and basic AI agents using AI coding tools. Translate customer needs into specifications, deploy solutions, measure usage and outcomes, evaluate AI-generated code for security and reliability, identify automation opportunities through customer conversations, and document effective prompts and development patterns.

Develop full-stack tools and automation for deploying and managing cloud infrastructure. Responsibilities include designing software solutions, collaborating with business partners, developing architecture and automation strategies, reporting on projects, and providing technical leadership. The role requires React and Go development, API integration, CI/CD, automated testing, version control, security-focused coding, troubleshooting, documentation, and applying AI technologies to improve workflows and decision-making.

Leads engineering teams building AI-native ITOM Discovery products. Owns technical strategy, architecture, delivery, reliability, hiring, coaching, and organizational development. Diagnoses architecture, UX, data, cost, and feedback-loop issues; establishes engineering standards and reusable patterns; and collaborates with Product, Design, Security, Operations, Sales, and Customer Success to align roadmaps, releases, compliance, and customer value.

Design and operate production software supporting scientific data and wet-lab workflows. Own compound registration, experimental data ingestion, validation, transformation, publishing, APIs, data pipelines, and integrations with scientific platforms. Partner with scientists to translate ambiguous research operations into scalable technical solutions. Establish architecture, testing, monitoring, CI/CD, deployment, documentation, and operational practices for reliable cloud-native systems.

Build backend services, tooling, APIs, and infrastructure for deploying, testing, operating, and scaling AI agents. Responsibilities include Kubernetes operations, workflow orchestration, state management, CI/CD integration, observability, distributed systems reliability, performance optimization, and developer-experience improvements. The role collaborates with engineering, product, and AI teams while contributing to architecture and technical decisions.