Top Remote Senior Level Software Engineer Jobs

Develop and maintain the 1035YellowPages platform using legacy and modern Microsoft technologies. Responsibilities include full-stack development, database work, web services, defect resolution, performance troubleshooting, client integrations, onboarding, and support escalations. The engineer will own the AI development roadmap, use AI-assisted tools, mentor junior staff, document system knowledge, and independently ship production enhancements in a fully remote, high-autonomy environment.

Build and operate full-stack, cloud-native applications for network automation and mission platforms using Python, Go, JavaScript, and TypeScript. Develop APIs, AI agents, generative user interfaces, integrations, and telemetry workflows. Contribute to CI/CD, Infrastructure as Code, containerized deployments, production troubleshooting, security, observability, and architecture. Collaborate across software, cloud, platform, product, and security teams in an ambiguous, mission-focused environment.

Develop and maintain Java applications, RESTful services, and Angular frontends using Spring Boot and NgRx. Deploy applications to cloud platforms, practice TDD, manage CI/CD with Jenkins, and work with Oracle and PostgreSQL databases. Participate in agile processes, collaborate with cross-functional teams, mentor engineers, and independently lead technical initiatives and feature delivery.

Own strategic customer deployments of the Securiti AI platform across cloud, hybrid, and on-premises environments. Build integrations, automations, data pipelines, classifiers, and agent workflows; configure Kubernetes and cloud infrastructure; troubleshoot complex deployment and integration issues; translate security, privacy, governance, and AI objectives into technical solutions; and lead customer technical sessions while partnering with Sales Engineering, Product, and Engineering.

Build, test, support, and enhance scalable web applications using Node.js, React, MongoDB, and APIs. Collaborate with cross-functional teams, troubleshoot production issues, contribute to architecture and technical documentation, and lead medium-complexity initiatives. Participate in code reviews, Agile development, on-call support, technical debt reduction, and monitoring. Mentor junior engineers and promote engineering best practices, automated testing, CI/CD, and software quality standards.

Design, build, and operate payment services for card processing, refunds, reconciliation, and processor integrations. Develop scalable Kotlin and Java Spring Boot APIs, optimize PostgreSQL schemas and SQL, and implement idempotency, retries, webhooks, audit trails, and reconciliation. Respond to payment incidents, conduct root cause analysis, collaborate cross-functionally, review architecture and code, and mentor engineers. The role requires strong distributed-systems, payments, PCI DSS, debugging, and production operations experience.

Leads two distributed frontend engineering squads responsible for platform foundations, navigation, search, and resource organization. Oversees hiring, team development, technical direction, delivery, customer discovery, roadmap prioritization, and operational excellence. Partners with Product and Design, drives AI and automation adoption, maintains engineering standards, participates in management on-call, and improves productivity, reliability, accessibility, and customer outcomes across Grafana’s open-source and cloud products.

Build and operate scalable backend services for connected devices, including device connectivity, telemetry ingestion, health monitoring, command and control, and data pipelines. Collaborate with firmware, mobile, and product teams on APIs and workflows. Use AWS, microservices, streaming systems, observability tools, and AI coding agents to deliver reliable features, participate in incident response, and improve automation and engineering practices.

Build and operate reliable backend services for a developer-focused email platform. Responsibilities include owning features end-to-end, designing APIs and relational data models, scaling databases, building distributed systems with queues and background workers, managing AWS infrastructure, improving observability and deployments, participating in on-call, and partnering with customers and support to improve the product.

Design and implement infrastructure services for a GPU-as-a-Service platform. Build REST and gRPC APIs, bare-metal provisioning workflows, Kubernetes cluster automation, reconciliation loops, and durable asynchronous operations. Manage server enrollment, inspection, OS provisioning, cluster creation, hardware inventory interfaces, error handling, idempotency, and multi-tenant infrastructure reliability.