Top Software Engineer Jobs

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.

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.

Develops secure, scalable software for Azure AI Platform services across air-gapped, sovereign, and commercial clouds. Responsibilities include coding, architecture, testing, deployment automation, security hardening, monitoring, incident response, reliability improvements, and on-call support. The engineer collaborates with partner teams, applies AI-assisted development practices, contributes to design and implementation plans, and ensures compliance, privacy, performance, and operational requirements for mission-critical AI infrastructure.

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 multiple .NET development teams and QA functions delivering secure, scalable Azure-hosted applications. Establishes Agile delivery practices, engineering metrics, testing standards, CI/CD and DevSecOps processes, application security controls, and production support practices. Drives adoption of AI-assisted development tools and leads AI-driven and agentic solution delivery. Partners with architecture, security, cloud, product, and business stakeholders while managing hiring, coaching, technical debt, compliance, and continuous improvement.

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.

Software Engineer Interns will own scoped projects from design through launch, building reliable, tested, production-quality software. They may contribute across backend services, product engineering, infrastructure, security, UI/full-stack, machine learning, NLP, or search. Interns will collaborate across teams, participate in code reviews, learn quickly, and measure project outcomes in a fast-paced environment.

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 and grow an engineering team while remaining hands-on in coding, design reviews, and debugging. Deliver customer-facing AI products, mentor senior engineers, manage recruiting and onboarding, and partner with business and customer-facing teams on product decisions. The role requires strong backend expertise, engineering management experience, and familiarity with machine learning or AI-driven systems.

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.

Serve as the first engineering hire, owning technical direction and the full stack from architecture through production operations. Lead the transition of a beta product to a scalable public launch, build production AI agent systems, work directly with early users to prioritize features, establish engineering standards, and help shape future hiring. The role requires independent execution across frontend, backend, infrastructure, and product development while working onsite in San Francisco.

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.

Lead finance technology modernization across legacy and contemporary systems. Develop full-stack applications using Python, Angular or React, optimize databases and SQL, build ETL pipelines, and apply AI to reconciliation, analytics, anomaly detection, and workflow automation. Own technology roadmaps, CI/CD pipelines, DevOps practices, software quality, security, scalability, and stakeholder communication within an asset-management environment.

Build and guide scalable full-stack portfolio management platforms using AI-enabled engineering practices. Define technical direction, architecture, specifications, and delivery plans; design resilient distributed systems; contribute to design and deployment reviews; provide production support with an SRE mindset; mentor engineers; establish governance and quality standards; and collaborate globally with product, engineering, and business leaders. The role emphasizes Java, React, Angular, APIs, event-driven architecture, TDD, BDD, cloud-native platforms, and responsible AI integration.

Paid 12-week software engineering internship involving coding and shipping product features, full-lifecycle development, technical training, mentorship, and collaboration on Atlassian cloud and core products. Interns will apply programming, data structures, algorithms, and software design fundamentals while working with senior engineers. Preferred experience includes prior software engineering projects or internships, AI/ML exposure, and familiarity with design patterns.