Top Software Engineer Jobs

Design, develop, integrate, and support enterprise planning solutions across Kinaxis, SAP, and Blue Yonder. Troubleshoot complex systems and integration issues, assess impacts across business processes and data flows, support testing and validation, and drive continuous improvement. Apply AI, generative AI, LLMs, automation, and agentic AI to software development, analysis, root-cause investigation, testing, documentation, and supply chain process enhancement.

Develop and maintain software applications using Python, Java, JavaScript, and AI-enabled technologies. Translate business requirements into technical designs, build microservices and enterprise integrations, debug and test code, support CI/CD releases, troubleshoot issues, and apply quality standards. Collaborate with stakeholders, interpret data, contribute to solution design, improve user experience, manage workstreams, and mentor junior team members.

Design, develop, deploy, and maintain scalable distributed systems, microservices, APIs, data pipelines, event-driven applications, and cloud services for a marketing technology platform. Responsibilities include database optimization, observability, incident response, AI integration, production controls, technical documentation, code reviews, testing, and client implementation reviews.

Designs, develops, and deploys ServiceNow applications, Service Portal interfaces, ITSM workflows, platform automations, and backend integrations through MID Servers. Builds AI-powered solutions and intelligent workflows, performs testing and debugging, conducts code reviews, and documents technical solutions. The role requires extensive ServiceNow engineering experience, REST/SOAP integrations, JavaScript, HTML/CSS, JSON, and experience deploying AI or machine-learning components in production.

Build and productionize quantitative software for systematic macro research and trading. Responsibilities include prototyping research implementations, designing architectures, analyzing model impacts, evolving research systems, and partnering with quantitative researchers, product managers, engineering leaders, and business stakeholders. The role requires developing expertise across multiple research domains and delivering high-quality software products for macro instruments and markets.

Lead the architecture and evolution of quantitative software systems supporting forecasting, simulation, optimization, research, modeling, and trading. Define technical strategies, establish architectural standards, manage technical risks, balance business and long-term goals, serve as a technical expert, and mentor senior engineers. The role requires strong software engineering, quantitative, financial, communication, and relationship-building skills.

Develop and maintain software, analysis tools, and trading-platform capabilities that help quantitative researchers explore and implement trading strategies. Partner with researchers and traders to analyze data and performance, support new markets and asset classes, and improve productivity, risk reduction, and trading operations. The role requires strong software engineering fundamentals and programming experience in Python, Java, C, or C++.

Develop and productionize software for portfolio research, optimization, forecasting, and simulation. Partner with quantitative researchers to prototype architectures, accelerate research, analyze model impact, evolve core systems, and build expertise across portfolio research domains. The role requires strong software engineering and quantitative skills, including mathematical optimization, linear algebra, statistical methods, and numerical methods.

Manage a software engineering team building the Ovation Risk Platform. Lead architecture, design, development, performance management, and cross-functional delivery. Design fault-tolerant Kafka and Flink event-streaming systems, integrate AI and machine learning, optimize PostgreSQL databases, and provide technical product ownership. Apply expertise in options exchange operations, trade lifecycles, and clearing workflows while developing target-state architectures and complex enterprise solutions.

Leads software engineering for credit trading technology, designing and building secure, scalable Python systems and AI-enabled trading platforms. Partners with sales, trading, product, vendors, and support teams to deliver solutions, improve reliability, automate remediation, and modernize systems. Establishes engineering standards for AI-assisted development, testing, security, and responsible AI use. Requires strong cloud-native AWS, CI/CD, agile, application resiliency, and software development lifecycle expertise.

Build, test, debug, and ship web and mobile product features alongside senior engineers. Develop AI-powered automation, analyze product usage data, iterate through AI-assisted development, and expand technical skills across languages and frameworks. Interns will collaborate with engineers and data analysts, communicate technical tradeoffs, and work in person at the company’s Union Square NYC office.

Develop software, automation, dashboards, and web-based tools that help engineers analyze semiconductor manufacturing and product data. Responsibilities include processing large datasets, visualization, workflow automation, AI-assisted engineering applications, debugging, testing, documentation, and collaboration with engineering teams. The intern will own a project from problem definition through implementation and demonstration while gaining experience at the intersection of software, data analytics, and semiconductor manufacturing.

Leads and develops an architecture team supporting asset management technology. Defines data, automation, and AI strategies, target architectures, reference patterns, governance, and delivery roadmaps. Evaluates platforms, guides solution design, promotes responsible AI adoption, and partners with business, engineering, risk, cybersecurity, and enterprise architecture stakeholders. Oversees talent development, architecture decisions, modernization, data enablement, automation, and executive communication in a regulated financial-services environment.

Leads enterprise software engineering, platform reliability, release management, incident response, disaster recovery, and system performance initiatives. Designs and deploys Java, microservices, cloud, streaming, and AI-powered solutions; leads production war rooms and root-cause analysis; manages change workflows, security remediation, observability, and legacy-to-cloud modernization. Partners with Development, DevOps, Security, and vendors to improve availability, scalability, automation, and operational excellence.

Leads enterprise-scale software engineering for JPMorgan Chase’s Databricks data platform. Responsibilities include creating secure, scalable software frameworks, developing and reviewing production code, architecting AWS infrastructure, optimizing Databricks platforms, and governing agentic AI-enabled engineering workflows. The role advises cross-functional teams, influences senior stakeholders, establishes engineering standards, and drives adoption of responsible, secure, auditable automation practices across portfolios.

Supports technology operations and AI automation for cellular networking workflows. Identifies manual processes, documents requirements, develops scripts, applications, dashboards, integrations, and automation frameworks, and prototypes AI-assisted solutions. Cleans and validates operational data, performs testing, documents solutions, monitors deployments, and resolves issues. Collaborates with RAN engineering, construction, field operations, project management, and business teams while following cybersecurity, privacy, access-control, confidentiality, and responsible-AI requirements.

Build and deploy custom software solutions for customers using large-scale data and AI. Responsibilities include collaborating on architecture, developing applications, engaging technical and executive stakeholders, and leading projects from ideation through deployment. The role requires strong programming skills, analytical problem-solving, independent decision-making, and up to 25% travel to client sites.

Leads software engineering for tax technology solutions, overseeing architecture, coding, testing, deployment, project delivery, and AI-enabled innovation. Advises stakeholders, translates tax needs into scalable applications and microservices, evaluates technical tradeoffs, manages risks, and coaches engineering teams. Requires client collaboration, clear communication, systems thinking, and the ability to guide teams through complex and ambiguous situations.

Develop software solutions supporting tax service delivery and digital transformation. Responsibilities include coding, testing, debugging, application design, deployment, data analysis, defect resolution, requirements translation, code reviews, documentation, and collaboration with tax technology teams.

Build customer-specific software solutions using large-scale data and AI. Responsibilities include collaborating on architecture and design, developing custom applications, engaging with technical and executive stakeholders, and driving high-impact projects from ideation through deployment. The role involves working directly with customers, solving complex technical problems, and traveling to client sites as needed.

Forward Deployed Software Engineers design and build data- and AI-powered applications for customer organizations. They collaborate with engineers and stakeholders, analyze large-scale data, make architecture decisions, engage directly with technical and executive users, and lead projects from ideation through deployment. The role requires strong coding, analytical problem-solving, teamwork, adaptability, and willingness to travel up to 25% to client sites.

A 12-week unpaid fellowship providing hands-on training in Palantir Foundry and AIP. Participants attend live virtual instruction, complete technical projects, engage with Palantir engineers and leadership, and earn a professional certification. The program seeks builders with technical experience in software, data, automation, process improvement, prototyping, or related fields. Exceptional performers may interview for roles at Palantir or partner companies.

Leads the development and deployment of data solutions using Palantir Foundry and AIP. Manages engineering teams, coaches team members, oversees project planning and execution, analyzes system interactions, manages client relationships, and drives innovation. The role applies software engineering, data engineering, analytics, and AI/ML techniques to deliver scalable client solutions while maintaining technical and professional standards.

Leads the development and deployment of software and data solutions using Palantir Foundry and AI/ML technologies. Responsibilities include data engineering, analytics, system improvement, client account management, project ownership, team leadership, coaching, stakeholder engagement, and continuous improvement. The role requires building scalable applications with large datasets and delivering customer-focused solutions.

Leads a large software engineering organization supporting healthcare financial platforms, including HSA, FSA, HRA, COBRA, payment processing, and debit card systems. Defines technology strategy, modernizes legacy platforms through cloud and API adoption, governs architecture and roadmaps, ensures secure and resilient transaction processing, drives AI-enabled transformation, manages delivery and risk, and partners with business, product, compliance, banking, and payment stakeholders.