Top Software Engineer Jobs

Develop and optimize Azure SQL and SQL Server databases, including queries, stored procedures, indexing, triggers, data warehousing, and ETL. Build and maintain AI agents using autonomous and multi-agent architectures, prompt engineering, and RAG pipelines. Support Azure App Services and C# .NET applications, troubleshoot performance issues, lead database projects, mentor junior developers, and document technical solutions.

Build and ship cross-platform Electron desktop applications for macOS and Windows, integrating AI capabilities, enterprise systems, APIs, and secure identity services. Automate fragmented workflows through native-feeling experiences, local synchronization, notifications, and OS integrations. Own desktop release, testing, monitoring, and phased rollout practices while contributing to architecture, platform standards, user research, and stakeholder alignment. Mentor engineers and collaborate with product, design, architecture, and operations teams to deliver measurable business value.

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.

Designs, develops, deploys, tests, monitors, troubleshoots, and maintains cloud and on-premise integrations using MuleSoft, Workato, or similar iPaaS platforms. Translates client requirements into integration and transformation solutions, supports production environments, documents implementations, leads SIT and UAT activities, manages change support, resolves integration issues, and mentors developers and architects.

Designs, builds, and ships AI-enabled mobile experiences for frontline and field teams using Tulip. The role digitizes manual workflows, supports offline-first capabilities, integrates enterprise and AI services, and contributes to platform architecture, security, testing, observability, and release practices. The engineer conducts field discovery, partners with product and design teams, mentors peers, and delivers secure, accessible, high-performing applications aligned with measurable business outcomes.

Leads end-to-end technical solution design for Lending and Loan Operations platforms. Designs Azure cloud-native applications and enterprise APIs, reviews engineering plans and code, builds performance dashboards, ensures security, compliance, resilience, and regulatory alignment, and mentors engineers. Partners with architecture, product, business, security, and risk stakeholders while leading platform operations, incident support, business-as-usual activities, BCDR, and compliance initiatives.

Designs and develops APIs, system integrations, and AI-agent workflows for enterprise applications. Builds integrations with platforms such as Salesforce and REST APIs, deploys and supports solutions on AWS, and develops AI-powered automation using LLMs, tool calling, and multi-step workflows. The role includes client requirements gathering, troubleshooting, reliability optimization, cross-functional collaboration, and mentoring junior developers.

Designs and implements intelligent automation across ITSM, IT operations, observability, asset management, and employee support. Builds AI-assisted workflows, self-service capabilities, integrations, APIs, event-driven automations, automated remediation, and predictive operations. Partners with infrastructure, security, service desk, and business teams to modernize ITSM platforms, improve service delivery, reduce manual work, and measure operational outcomes. Ensures solutions meet security, governance, compliance, documentation, and audit requirements.

The Technical Lead will design, build, and modernize IVR and Voice Bot platforms, providing technical ownership and leadership in a hands-on role within the Contact Center Technology department.

As an AI Native Software Engineer, you'll build products using AI coding agents, translating customer needs into solutions, and ensuring quality delivery and documentation.

As a Forward Deployed Engineer at Remitly, you will leverage AI agents to build applications, translate customer needs, and evaluate outputs for quality and security, focusing on delivery speed and robustness.

As an Agentic Software Engineer, you'll build and deploy production-grade AI systems, reverse-engineer existing software, guide teams, and facilitate customer discovery.

Designs, develops, debugs, and delivers secure, scalable software solutions using modern SDLC and agile practices. Leverages enterprise-authorized AI-assisted coding tools, produces architecture and design artifacts, analyzes large data sets to improve systems, and ensures operational stability and secure coding standards.

Lead the technical direction of a backend engineering team while designing and building scalable, secure, cloud-native distributed systems. Architect event-driven services, data pipelines, search and retrieval capabilities, and AI-powered applications. Improve performance, reliability, observability, and cost efficiency; own initiatives through production operation; collaborate with cross-functional teams; and mentor engineers.

Own and extend Aledade’s AI enablement platform, including the MCP Gateway, connector integrations, plugin marketplace, model gateway, observability, telemetry, and cost attribution. Build secure authentication and authorization flows, CI/CD and distribution tooling, evaluation harnesses, model routing, and agent collaboration features. Mentor engineers, document platform practices, run enablement sessions, triage requests, and support on-call operations for gateway and marketplace availability.

Develop and integrate cloud software, AI/ML capabilities, distributed analytics, and microservices on AWS and large-scale compute clusters. Responsibilities include requirements analysis, Java development, cloud deployment, testing, troubleshooting, RESTful services, Hadoop-based big-data processing, infrastructure as code, CI/CD, and Linux systems work. The role requires active TS/SCI clearance with polygraph and one approved cloud developer certification.

Develop and sustain cloud software for cyber intelligence and AI/ML capabilities. Responsibilities include requirements analysis, Java development, distributed systems, cloud deployment, software integration, testing, troubleshooting, analytics development, and technical documentation. The role uses AWS, Kubernetes, infrastructure-as-code, CI/CD, Hadoop technologies, Linux, microservices, LLMs, and RAG frameworks while supporting large-scale data processing and national security missions.

Develop and sustain cloud software for national security missions, including requirements analysis, integration, testing, validation, and issue resolution. Build AWS-based services and distributed systems using Java, Kubernetes, infrastructure-as-code, CI/CD, Linux, and microservices. Integrate AI/ML capabilities, LLMs, and RAG frameworks while supporting large-scale compute clusters, big-data technologies, RESTful services, and cloud security practices. The role requires active TS/SCI clearance with polygraph and collaboration in a mission-driven cyber intelligence environment.

Builds and ships user-facing product experiences and integrations using low-code, no-code, and AI-assisted development tools. Translates stakeholder needs into maintainable solutions, integrates platform services and APIs, applies authentication, security, privacy, and compliance controls, and partners with Product, Architecture, DevOps, Security, and QA. The role also defines testing, telemetry, documentation, runbooks, acceptance criteria, and post-launch product health metrics.

Develops scalable applications that transform complex data into mission capabilities. Collaborates with data scientists and mission analysts to prototype, build, integrate, test, deploy, and maintain analytic tools in enterprise environments. Applies software development, data science, machine learning, distributed data processing, and Agile practices to deliver reliable applications and improve mission workflows.

Lead engineering execution and technical direction while remaining approximately 75% hands-on. Responsibilities include developing LLM- and AI-powered products, coding, code review, debugging, platform performance, sprint planning, cross-functional coordination, technical mentorship, recruiting, and supporting engineers’ growth. The role partners closely with founders and product teams and offers a path toward Engineering Manager responsibilities.

Develop, test, maintain, and improve software solutions using established development practices. Write clean code, assist with feature implementation, debug issues, and collaborate remotely with team members. Support AI technology integration, automation, and AI-powered development workflows. Research emerging AI tools, document technical processes, and continuously develop programming skills.

The Grid Engineer designs and supports grid infrastructure for EDA workflows, enhancing performance and collaborating with engineering teams.

The Senior Engineer collaborates with teams, designs and implements technical features, writes production-ready code, and ensures high-quality deliverables, while also engaging in research and learning on new technologies.

Develop and maintain business web applications for a government customer as part of an Agile team. Responsibilities include gathering requirements, designing and coding software, implementing business logic, developing web API interfaces, conducting unit and formal testing, managing configuration changes, estimating enhancements, troubleshooting production issues, and supporting user documentation and training.