Top Remote Tech Jobs

Build and maintain cloud-native infrastructure, automate manual operations, develop Terraform modules and Helm charts, manage Kubernetes and service mesh configurations, monitor GCP databases and services, improve observability, maintain CI/CD pipelines, and use AI coding agents to enhance infrastructure development. Collaborate with engineering teams on instrumentation, architecture, capacity planning, scalability, reliability, security, and developer experience.

Own full-cycle, net-new enterprise sales for the MapQuest mapping platform. Build outbound pipeline across targeted verticals, sell location APIs and SDKs to technical executives, manage technical evaluations and proofs of concept, negotiate enterprise contracts, and close multi-year deals. Partner with Solutions Architecture, procurement, product, and company leadership while providing market feedback. This is a remote individual-contributor role with prospect and event travel.

Build and lead MapQuest APIs' technical selling function for enterprise customers. Conduct technical discovery, create proofs using customer geospatial data, win competitive evaluations, develop migration tools and code samples, and own technical customer sign-off through implementation handoff. The role combines solutions architecture, development, technical sales, and geospatial investigation while supporting enterprise API revenue growth.

Leads the Launch and Sandboxes engineering team building cloud execution environments, job submission services, compute orchestration, and HPC integrations. Owns roadmap delivery, architecture, reliability, technical debt, customer outcomes, and cross-team coordination. Develops engineers into autonomous leaders while maintaining technical fluency in Go, Python, Kubernetes, distributed systems, authentication, and billing infrastructure.

Architect and develop production-grade GenAI systems, including LLM-powered agents, RAG pipelines, tool integrations, multi-agent coordination, memory systems, and chatbot experiences. Lead AI productization across engineering, product, and research teams; establish architecture, infrastructure, observability, coding standards, and delivery practices. Mentor engineers, guide technical roadmaps, and ensure scalable end-to-end deployment across frontend, backend, and ML components.

Lead development and production deployment of machine learning systems for time-series anomaly detection in connected-device environments. Build streaming and MLOps pipelines, tune alerts, monitor model drift, and integrate AI systems with LLM-based assistants. Guide architecture, tooling, observability, and production readiness while mentoring and managing applied AI and full-stack engineers. Collaborate across engineering, product, data, and research teams.

Provides administrative, operational, and program support for employee experience, engagement, and business partner teams. Responsibilities include responding to employee and manager questions, coordinating lifecycle processes, maintaining Workday transactions and records, supporting performance and talent programs, analyzing employee feedback, and administering culture, recognition, mentorship, and engagement initiatives. The role also supports communications, events, reporting, scheduling, and cross-functional talent programs while handling sensitive information with discretion.

Provides executive, technical, and people leadership for enterprise integration engineering teams. Defines integration strategy, governance, architecture standards, and modernization roadmaps across Salesforce, GCP, and other enterprise platforms. Leads the design, deployment, scalability, resilience, and support of integration and automation solutions while partnering with senior executives, mentoring engineering leaders, and fostering technical innovation.

Own the agentic analytics platform for Capital One Shopping’s AI Enablement team. Partner with engineers to build trusted AI products, govern enterprise data and metrics, define agent boundaries, validate system performance, prioritize stakeholder needs, and improve deployment efficiency. The role requires strong product leadership, data platform expertise, SQL proficiency, familiarity with modern data tools and AI agents, executive communication, and experience operating internal platforms or production deployments.

Leads multiple software engineering teams and defines enterprise technology strategy, architecture standards, and platform roadmaps. Partners with product and executive leaders to deliver scalable full-stack solutions, improve engineering practices, and ensure system resilience. Responsibilities include talent development, succession planning, architectural governance, Agile delivery, AWS deployments, and innovation involving distributed systems, machine learning, and agentic AI tools.

Designs, deploys, and operates global network infrastructure, including Meraki environments, office networks, ISP circuits, Zero Trust, VPNs, firewalls, and monitoring. Administers enterprise AI platforms, develops AI-enabled automations, and enforces data protection and access controls. Builds scripts and API integrations, documents systems, supports complex IT escalations, evaluates vendors, collaborates cross-functionally, and participates in a global on-call rotation.

Targets and closes new business with Fortune 1000 and other strategic customers. Builds enterprise relationships, uncovers cloud-scale technology challenges, sells Datadog solutions, negotiates pricing, expands existing accounts, develops pipelines, and maintains accurate forecasts. Requires enterprise technology sales experience, strong prospecting and closing skills, large-deal experience, and regular travel to client sites.

Leads engineering, strategy, and operational maturity for enterprise end-user experience observability platforms. Oversees network, application, synthetic, and service-path telemetry; improves monitoring, alerting, automation, and incident diagnosis; and integrates observability technologies. Partners with engineering, operations, cloud, infrastructure, and AI Operations teams while managing vendors and governance. Develops engineers and communicates platform performance and risks to senior leaders.

Strategically develops and writes competitive healthcare proposal responses by researching customer needs, articulating value propositions, incorporating product and financial information, and collaborating with sales and proposal teams. The role manages deadlines, reviews final proposals, uses RFP and marketing tools, and maintains knowledge of healthcare and managed care trends.

Leads credit strategy and analytics for small-business lines of credit and card products. Oversees underwriting, originations, account management, exposure management, portfolio monitoring, credit policy, governance, and risk optimization. Manages credit strategy teams and partners with Product, Finance, Risk, Compliance, Operations, and Technology. Presents portfolio performance and recommendations to executives, supports audits and regulatory interactions, and builds scalable credit-risk frameworks for a growing lending platform.

Own and define IAM strategy for corporate and production environments. Migrate Okta to Terraform, design least-privilege access, automate provisioning/deprovisioning and access reviews, build/manage MDM/MAM tooling, partner with platform and engineering teams, and serve as the IAM subject matter expert across Security, IT, and Engineering.