Top Software Engineer Jobs

Leads the Product Acquisition engineering team and drives technology strategy, architecture, software delivery, DevOps maturity, platform adoption, vendor management, and operational excellence. Partners with product managers on roadmaps and business outcomes, ensures engineering standards and production support, and coaches, recruits, and develops engineers and consultants. Requires strong software development, product operating model, project management, stakeholder communication, and technical leadership experience.

The Staff Software Engineer will lead the development of cloud-native AI platforms, optimizing AI workload deployment in Kubernetes environments and collaborating with cross-functional teams.

Build and maintain scalable AI Search software across the full development lifecycle, including Java and front-end development, ServiceNow administrative tools, search UI components, GraphQL APIs, analytics dashboards, and machine-learning functionality. Own design, coding, testing, deployment, reliability, and performance optimization. Develop automated and manual tests using Jenkins, JUnit, Playwright, Selenium, and related frameworks. Collaborate with Product Owners and engineering teams in Agile Scrum processes while supporting customer-reported search UI and UX issues.

Develops, configures, tests, integrates, and supports ServiceNow solutions, workflows, applications, and ITSM capabilities. Applies generative AI, machine learning, and intelligent automation knowledge to design and implement AI-enabled ServiceNow solutions. Translates business requirements into technical designs, supports upgrades and production incidents, contributes to proofs of concept, performs troubleshooting and root cause analysis, and participates in on-call support, code reviews, and continuous improvement.

Leads the Database Monitoring engineering organization, owning product strategy, roadmap, AI feature development, market expansion, customer adoption, and commercial outcomes. Builds and scales engineering teams across geographies by hiring, mentoring, coaching, and structuring engineering managers and staff engineers. Partners with Product and customers to refine experiences, achieve product-market fit, and deliver measurable value. Requires experience deploying applications on PostgreSQL.

Lead development of AI infrastructure for large-scale GPU training and inference. Design workload scheduling, serving, orchestration, resource governance, failover, and multitenant Kubernetes platforms. Build reliable C# and Go services, optimize GPU fleet performance, and drive observability, diagnostics, and production operations. Provide technical leadership, architectural direction, mentoring, and cross-team collaboration across cloud infrastructure, hardware, networking, and AI deployment teams.

Design and deliver AWS-based integration architectures connecting clinical, supply chain, and enterprise systems. Implement API-first and event-driven patterns, infrastructure-as-code, CI/CD, and hybrid cloud integrations while ensuring regulatory compliance and supporting delivery teams.

Owns the strategy, development, integration, administration, governance, and continuous improvement of enterprise business applications. Designs workflows, automations, APIs, AI-enabled solutions, data models, reporting, and integrations across Dynamics 365, Power Platform, HubSpot, Copilot, and Azure services. Gathers requirements, documents processes, supports Agile delivery, manages vendors, develops training, and improves operational efficiency through automation and AI.

Build and optimize scalable frontend applications for Seekr’s AI platform using React and Next.js. Collaborate with ML, backend, DevOps, QA, and Product Design teams to rapidly deliver performant web features. Contribute to technical direction, automated testing, API integration, deployments, and continuous improvement of frontend architecture and user experiences.

Build enterprise Angular applications for conversational AI, agent workflows, dashboards, and real-time monitoring. Integrate APIs, LLMs, RAG, tool calling, streaming responses, and human-approval workflows. Develop reusable components, manage application state, ensure accessibility, security, performance, and cross-browser compatibility, and write unit and end-to-end tests. Collaborate with product, UX, backend, and AI teams while contributing to technical design, code reviews, and mentoring.

Build scalable AI capabilities for Fidelity Wealth, partnering with business, product, architecture, data, and platform teams. Develop secure, reliable, production-ready solutions; apply modern software architecture, cloud platforms, testing, and design patterns; lead technical discussions; mentor engineers; and deliver end-to-end full-stack systems.

Develop and deliver native iOS features for MyFitnessPal’s Cal AI food-logging experience. Responsibilities include building interfaces in Swift, optimizing UI, storage, and network performance, implementing tests, researching technical solutions, collaborating with product and design teams, promoting engineering best practices, and mentoring junior developers.

Manages multiple IT and data engineering teams, overseeing staffing, performance, priorities, delivery, metrics, and stakeholder communication. Leads the design, development, and delivery of Databricks-based data platform components using Raw, Refined, and Presentation medallion architecture layers. Applies AI and machine learning within data engineering, ensures operational standards, coaches employees, and balances immediate delivery needs with long-term engineering objectives.

A 12-month graduate program with two rotations developing software solutions across big data, AI, SRE, DevOps, cloud, and security engineering. Responsibilities include writing specifications, coding, code reviews, bug fixes, test-driven development, requirements analysis, troubleshooting, data modeling, and collaboration with stakeholders. Participants receive mentorship, training, and experience with AWS and Azure. Applicants must complete a computer science-related bachelor’s degree between May and December 2026.

Develop and support internal software, automation, AI tools, reports, dashboards, database queries, and system integrations supporting supply chain and business operations. Responsibilities include coding, testing, troubleshooting, ERP/MRP data cleanup, AI output validation, basic IT support, documentation, cybersecurity compliance, and user training.

Develop and maintain enterprise-scale platform services for Honeywell Forge and Cognition. Build containerized microservices, APIs, event-driven systems, database integrations, and Kubernetes deployments across multi-cloud and edge environments. Own features through design, implementation, testing, deployment, troubleshooting, and production readiness. Collaborate with architects, SRE, cybersecurity, QA, product, and engineering teams while supporting secure, scalable, and restricted-connectivity deployments.

Develop and maintain enterprise-scale full-stack platform services, APIs, microservices, distributed systems, and containerized deployments for Honeywell Forge and Cognition. Responsibilities include event-driven development, database and messaging integration, multi-cloud and edge deployment, Kubernetes operations, automated testing, security, observability, troubleshooting, and production readiness. The engineer owns features from design through deployment and collaborates with architecture, SRE, cybersecurity, QA, product, and engineering teams.

Develop and maintain enterprise-scale full-stack and platform services for Honeywell Forge and Cognition. Responsibilities include designing containerized microservices, REST APIs, event-driven services, distributed systems, cloud and edge deployments, database integrations, Kubernetes services, automated testing, observability, troubleshooting, and secure software delivery across multi-cloud and restricted-connectivity environments.

Develop and maintain enterprise-scale full-stack and platform services for Honeywell Forge and Cognition. Responsibilities include building containerized microservices, REST APIs, event-driven services, distributed systems, cloud and edge deployments, database integrations, automated testing, CI/CD, observability, troubleshooting, and secure software for Kubernetes, multi-cloud, restricted-connectivity, and air-gapped environments. Collaborate with architects, SRE, cybersecurity, QA, product, and engineering teams while owning features from design through production readiness.

Own and develop an AI platform using Python, FastAPI, Amazon Bedrock, React, TypeScript, and AWS serverless services. Provide architectural ownership across .NET case management and video systems, modernize legacy platforms, establish engineering standards, oversee security and CI/CD, guide integrations, and coach engineers. The role combines hands-on production coding with technical leadership, architecture reviews, cloud infrastructure ownership, and cross-platform modernization.

Leads development of scalable full-stack applications using Java, Angular, microservices, and event-driven architectures. Integrates and deploys agentic AI, GenAI, and LLM-enabled systems for M&A use cases in a regulated enterprise environment. Responsibilities include architecture, coding, testing, CI/CD, security, operational support, environment readiness, risk management, mentoring, code reviews, and stakeholder collaboration.

Leads architecture, development, and deployment of agentic workflows for banking use cases. Integrates agents with core banking systems, databases, microservices, and event streams. Establishes security controls, mentors engineers, conducts code and architecture reviews, assesses risks, and contributes to enterprise agent blueprints and reusable components.

Open application for future opportunities at a growing AI company, primarily across software development and sales. Potential technology roles include Clojure development, machine learning engineering, data engineering, DevOps, security engineering, and product design. Commercial opportunities include account executive and customer success positions. The company offers flexible work arrangements, professional growth, AI and deep learning exposure, competitive compensation, benefits, and six weeks of holiday.

Leads full-stack application development for BNY’s AI Hub Engineering team. Responsibilities include designing, developing, testing, integrating, securing, modernizing, and maintaining scalable front-end and back-end systems. The role advises business and IT leaders, resolves complex technical issues, supports enterprise technology strategies, conducts code reviews, mentors engineers, manages technical debt, and presents technology solutions to stakeholders.

Build and maintain premium mobile features, subscription and in-app purchase flows, paywalls, pricing experiences, and advertising functionality for Life360’s consumer app. Own feature quality, performance, reliability, experimentation, and incident response at 100M+ user scale. Collaborate with product, design, data science, and analytics teams; use AI coding agents extensively; contribute to architecture and code reviews; mentor engineers; and help evolve AI-native engineering practices.