Top Software Engineer Jobs

Develop and support Java/Spring Boot microservices for a high-volume, event-driven notification platform. Responsibilities include designing features, writing automated tests, contributing to Kafka-based modernization, improving resiliency and performance, supporting cloud-native deployments, monitoring production systems, responding to incidents, and troubleshooting application and infrastructure issues. The role collaborates with product, architecture, QA, TPM, and engineering teams while participating in Agile delivery and mentoring junior engineers.

Design, develop, test, deploy, and support secure, scalable software applications and services for Mastercard’s payment network. Translate requirements into maintainable solutions, contribute to architecture and code reviews, build automated tests, troubleshoot issues, optimize performance, and support production readiness. Collaborate with Product and Engineering stakeholders in Agile environments while using CI/CD, automation, observability, and modern software delivery practices.

Designs, develops, tests, and delivers database and platform software for Imprivata’s enterprise access management appliances across on-premises and cloud environments. Responsibilities include distributed database architecture, replication, networking, multithreaded development, automated testing, security vulnerability remediation, platform configuration, and customer issue resolution. The role requires Linux development, database engineering, software design, and full software development lifecycle experience.

Leads hands-on Java and Spring Boot engineering for alternative investment platforms. Designs, develops, tests, and operates secure cloud-native services on AWS, modernizes on-premises applications, and builds resilient messaging and event-streaming integrations. Provides technical guidance, reviews code, governs AI-assisted engineering practices, and establishes standards for secure, reliable, and observable software delivery.

Develops secure, scalable software solutions using Java, Python, AWS, Terraform, and Kafka. Designs complex applications, creates architecture artifacts, delivers end-to-end systems, and ensures testing and operational stability. Leads responsible adoption of AI-assisted development tools, validates AI outputs, improves automation and CI/CD practices, and analyzes data to enhance code quality and system architecture. Collaborates within agile teams supporting corporate technology functions.

Designs, develops, tests, deploys, and maintains secure enterprise applications for Internal Audit. Builds Java and Python microservices, REST APIs, React interfaces, CI/CD pipelines, and cloud-native services using Docker, ECS, Kubernetes, and AWS. Participates in code reviews, Scrum ceremonies, operational support, monitoring, incident resolution, and root-cause analysis. Applies responsible AI-assisted development practices and may integrate LLM-based capabilities or AI agent workflows.

Develops secure, scalable software and data solutions using Python, PySpark, AWS, and Databricks. Designs applications, writes production code, troubleshoots systems, creates architecture artifacts, and analyzes large datasets. Builds and optimizes Spark clusters, validates data quality with SQL, deploys machine learning models, and applies responsible AI-assisted development practices. Collaborates within agile teams to improve application resiliency, security, automation, and operational stability.

Develops secure, maintainable C#/.NET software and cloud-native AWS services for healthcare payment workflows. Responsibilities include system design, application development, testing, troubleshooting, SDLC execution, observability, resiliency, scalability, and operational stability. The engineer also integrates AI/ML and GenAI capabilities for automation, fraud detection, and data-driven decisions, while validating AI-assisted coding outputs through testing, peer review, and secure engineering practices.

Develops secure, scalable, high-quality .NET/C# applications for healthcare payments. Responsibilities include software design, coding, testing, troubleshooting, architecture documentation, SQL optimization, data analysis, application resiliency, security, and agile delivery. The role also uses and evaluates enterprise AI-assisted development tools, supports automation, and guides peers on responsible AI practices. Familiarity with JavaScript, React, and cloud platforms is preferred.

Design, build, and maintain Android features using Kotlin and Java; integrate secure backend services; implement automated testing; improve application stability, performance, and accessibility; and enhance CI/CD workflows. The role also involves technical design contributions, secure mobile development, release readiness, modularization, mentoring, and validated use of approved AI coding assistants.

Develop and maintain scalable AEM as a Cloud Service applications for client-facing digital experiences. Responsibilities include software design, development, testing, troubleshooting, performance optimization, secure coding, AI-assisted development, and collaboration with agile engineering and product teams. The role requires expertise in AEM templates, components, client libraries, widgets, deployment processes, and headless capabilities, while supporting application resiliency and continuous delivery.

Designs, develops, tests, and maintains scalable, secure systems using Java or Python; applies enterprise AI-assisted coding tools; contributes to architecture, data-driven improvements, CI/CD, and resilient production delivery within agile teams.

Develops and maintains Salesforce CRM solutions using Apex, Lightning, LWC, APIs, integrations, and enterprise development practices. Designs secure, scalable software, troubleshoots technical issues, creates architecture artifacts, and improves data quality through reports and dashboards. Collaborates within an agile team, applies CI/CD and resiliency standards, and uses AI-assisted tools for coding, testing, documentation, and productivity while validating outputs for security and correctness.

Designs, develops, and troubleshoots secure, high-quality payment software; creates and executes automated tests and BDD Gherkin scripts; leverages enterprise AI-assisted development tools; produces architecture artifacts; partners with Operations, Product, and Technology; monitors and reports defects, validates test results, and steps in for Test Manager when needed.

Develops and maintains secure, scalable Python and AWS applications within an Applied AI/ML engineering team. Responsibilities include system design, architecture, testing, troubleshooting, code reviews, agile planning, MLOps integration, reliability collaboration with SRE teams, and analyzing data to improve application quality and system architecture. The role also requires responsible use of AI-assisted development tools and collaboration with data scientists.

Design, develop, test, and maintain scalable, secure systems using Java or Python. Contribute to architecture, SDLC practices, CI/CD, automated testing, and data-driven improvements. Use enterprise-authorized AI-assisted development tools responsibly, validate outputs, and support cross-team collaboration and inclusion.

Designs, develops, debugs, and delivers secure, production-grade full‑stack Java/Spring Boot and React applications. Leads technical evaluations, drives automation and CI/CD, improves application resiliency and operational stability, and promotes best practices across engineering teams.

Participate in a two-day social-impact hackathon building tech solutions for nonprofits. Develop, test, and troubleshoot software; write secure code; collaborate with engineers and stakeholders; use automation and approved AI development tools responsibly; attend training and mentorship; and potentially be considered for a 2027 Software Engineer Program Summer Internship.

Design, develop, and operate a production agentic data platform using Spark, Kafka, Airflow, Snowflake and AWS. Write secure high-quality code across frontend and backend, leverage enterprise AI-assisted development and LLMs (Claude Code, agents, RAG, embeddings), build autonomous agents and MCP server components, apply secure/responsible AI practices, troubleshoot systems, and own full-stack application/platform delivery with CI/CD, containers, and observability.

Designs, develops, debugs, and maintains secure, scalable software components as part of an agile team. Writes high-quality code (Scala/Java/Python), applies SDLC tooling and CI/CD, works with big-data and AWS services, and drives adoption of enterprise-authorized AI-assisted engineering practices while ensuring resiliency, security, and operational stability.

Develops secure, scalable full-stack applications for Asset Management. Responsibilities include software design, coding, testing, troubleshooting, architecture, data analysis, visualization, and operational stability. Uses enterprise-authorized AI coding tools responsibly to improve development productivity while validating outputs for security and correctness. Builds services with Hibernate, Spring JPA, PostgreSQL, REST APIs, and GraphQL, with preferred experience in Kafka, Avro, React, and AWS.

Build and maintain Java and Kotlin JVM microservices for fixed-income portfolio management, analytics, reporting, trade sizing, exposure monitoring, order management, scenario analysis, compliance checks, and order submission. Design resilient REST APIs, relational database schemas, SQL queries, and migrations. Contribute to architecture, testing, operational stability, data analysis, secure AI-assisted development, CI/CD, and agile engineering practices.

Design, build, test, and maintain Java-based Spring Boot applications on AWS. Contribute to migration and modernization efforts, practice TDD and CI/CD, lead adoption of AI-assisted development, troubleshoot production issues, mentor junior engineers, and collaborate with global teams while following change management and security/resiliency practices.

Develops and troubleshoots secure, scalable full-stack software for JPMorganChase Asset & Wealth Management. Responsibilities include writing high-quality code, designing user-centered interfaces, analyzing data, testing, automation, system integration, technical troubleshooting, and supporting application resiliency throughout the software development lifecycle. The role also uses and validates AI-assisted development tools within agile engineering workflows.

Develops secure, scalable full-stack software solutions within an agile team. Responsibilities include designing applications, writing and troubleshooting production code, creating architecture artifacts, analyzing data for system improvements, and maintaining operational resiliency. The role requires Java, React, and Spring experience, software development lifecycle knowledge, testing, application security, CI/CD, and responsible use of AI-assisted development tools.