Top Software Engineer Jobs

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.

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.

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.

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.

Develops production solutions using Power Apps, Power Automate, Dataverse, SQL, and AI agents. Responsibilities include designing applications, workflows, integrations, secure APIs, database schemas, and Copilot Studio agents; implementing ALM and CI/CD with Azure DevOps; and supporting documentation, training, troubleshooting, and production operations.

Build AI-assisted, production-ready full-stack applications from concept and prototype through deployment, with a strong frontend focus. Develop accessible React, Vue, and Nuxt interfaces aligned with design systems, implement backend APIs and services, manage SQL and NoSQL databases, and optimize authentication, caching, performance, and scalability. Collaborate with designers and innovation teams while using AI design tools, Figma, specification-driven workflows, and cloud deployment practices.

Develop C#/.NET APIs for an enterprise data platform, perform gap analysis, and build REST integrations using microservices and event-driven architecture. Implement CI/CD, containerization, and API management. In a later phase, integrate LLMs, build RAG and AI APIs, use orchestration frameworks, tune prompts and model parameters, and implement AI gateway capabilities such as token limits and model routing.

Lead full-stack software engineering initiatives and developer teams building distributed, cloud-native systems and developer experience platforms. Design architectures, implement high-reliability services, shape technology roadmaps, mentor engineers, and collaborate with product and architecture leaders. Work with Java, Python, front-end frameworks, APIs, databases, Docker, Kubernetes, cloud platforms, CI/CD, infrastructure as code, automated testing, observability, and AI-based development tools.

Leads full-stack software engineering initiatives using cloud technologies, distributed microservices, databases, APIs, and modern programming languages. Provides technical direction across Agile teams, mentors engineers, partners with architects and product managers, establishes engineering standards, improves system performance, reduces technical debt, and evaluates emerging technologies including AI-based development tools.

Build and lead full-stack software engineering projects using Java, Python, cloud platforms, microservices, databases, containers, and AI-enabled development tools. Provide technical leadership across Agile teams, define service architectures and integration patterns, improve system performance, reduce technical debt, establish engineering standards, mentor developers, and deliver secure cloud-based solutions supporting enterprise and regulatory needs.