Top Remote Platform Engineer Jobs

Lead the design and hands-on development of an enterprise AI/ML lifecycle governance platform. Build integrations connecting intake, governance gating, routing, observability, monitoring, alerting, feedback, and containment. Define data flows and technical contracts, develop production-grade Python services, implement automated testing, and guide cross-functional engineering teams. The role also evaluates cloud-native platforms, AI observability, governance automation, and responsible AI practices.

Leads platform enhancements and enterprise technology programs by translating workflows, APIs, diagrams, and business needs into technical requirements and deliverable solutions. Manages refinement backlogs, prioritizes requirements, monitors roadmaps, identifies risks, and coordinates product owners, designers, engineers, testers, and architecture teams in an agile environment. Also mentors business analysts and delivers release notes and product reviews.

Develop and integrate SystemC/C++ transaction-level models for virtual SoCs and pre-silicon software development. Design test environments, define coverage metrics, perform hardware/software co-simulation and system debugging, and support RTL verification. Collaborate with architects, IP teams, EDA partners, and distributed engineering groups while maintaining simulation infrastructure. The role also involves embedded software, emulation, ASIC development, continuous integration, technical communication, and potentially mentoring other engineers.

Build testing tools, frameworks, metrics, and standards for Cedar’s engineering teams. Improve test-suite reliability, speed, coverage, service-to-service testing, and CI/CD integration. Establish testing best practices, connect tests to product behavior, and lead quality-improvement projects from investigation through adoption. The role requires strong software development and testing expertise in Python and JavaScript/TypeScript, with experience using modern testing frameworks and measuring test performance and reliability.

Design, build, and operate bare-metal Kubernetes platforms for defense missions. Responsibilities include hardware bring-up, cluster lifecycle management, infrastructure automation, CI/CD for disconnected environments, monitoring, incident response, capacity planning, networking, security hardening, and NIST/RMF accreditation support. The role collaborates with development, product, network, security, operations, and customer teams and provides on-call support during surge events.

Own and improve Dropbox’s Windows endpoint platform, including provisioning, application delivery, patching, compliance, security configuration, troubleshooting, fleet health, and automation. Build code-managed endpoint operations using Intune, FleetDM, osquery, infrastructure-as-code, and GitOps practices. Lead cross-functional improvements, establish reliable deployment workflows, mentor engineers, review code and designs, and document reusable operational practices.

Staff Software Engineer responsible for building and operating Block’s card issuing platform at the network boundary. The role requires deep expertise in card networks, ISO 8583, authorization and clearing flows, certifications, mandates, and direct network connectivity. Responsibilities include writing production code, developing conformance tooling, debugging protocols, leading cross-team technical initiatives, influencing network requirements, mentoring engineers, supporting AI-assisted development, and participating in on-call operations for critical financial systems.

Build and operate highly reliable card-issuing software and tooling across authorization, clearing, settlement, certification, and network integrations. Serve as a technical expert on card-network specifications, protocols, mandates, and production behavior. Lead complex cross-team engineering work, debug protocol-level issues, influence network requirements, mentor engineers, improve platform reliability, and participate in on-call support for critical financial systems.

Build and improve the Enterprise AI operating model through AI-enabled processes, operational reporting, knowledge management, stakeholder forums, intake governance, and asset registry oversight. The role translates complex program information into executive narratives, coordinates decision-making, enables cross-functional alignment, and continuously improves planning, prioritization, governance, communication, and execution mechanisms.

Designs and delivers large-scale, governed data pipelines and infrastructure across the full data lifecycle. Responsibilities include coding in Python and SQL, optimizing Airflow, dbt, AWS, Kafka, and Iceberg/Parquet workflows, implementing data quality and observability, contributing to architecture and tool evaluations, mentoring engineers, collaborating with stakeholders, and participating in on-call support.

Design, operate, and improve highly scalable hybrid multi-cloud Kubernetes platforms supporting business-critical systems. Responsibilities include optimizing reliability, managing large-scale infrastructure, integrating open-source technologies, guiding Kubernetes platform evolution, and mentoring engineers. The role requires expertise with Kubernetes clusters containing thousands of nodes, observability tools, Golang, Linux, AWS, GCP, OCI, custom data centers, and on-call operations. Candidates must be eligible for CJIS clearance and periodically complete government-required background and fingerprint checks.

Leads the design, development, and operation of cloud and AI platforms, supporting scalable technology solutions for clients.

Lead the architecture, deployment, configuration, and sustainment of an Azure and Kubernetes-based Software Factory for the US Space Force. Manage DevSecOps tools, IaC and CI/CD pipelines, Linux infrastructure, security requirements, monitoring, patching, upgrades, and vulnerability remediation. Provide technical leadership, coach DevSecOps and application teams, onboard users, establish platform standards, and advance secure software delivery practices. Travel is required up to 25%.

Design, build, secure, and operate production Azure platforms for regulated, multi-tenant enterprise workloads. Responsibilities include infrastructure as code, identity and access management, secure CI/CD, observability, disaster recovery, customer isolation, compliance support, incident response, and on-call operations. The Platform Lead additionally owns architecture, engineering standards, team coordination, and client security discussions.

Design, deploy, secure, automate, and operate enterprise MongoDB platforms across on-premises infrastructure and MongoDB Atlas. Responsibilities include replica sets, sharding, high availability, disaster recovery, backup and recovery, performance tuning, monitoring, security controls, migrations, incident response, and lifecycle management. The role partners with application, cloud, infrastructure, security, and SRE teams; develops operational standards and automation; supports mission-critical environments; and provides technical leadership and mentorship.

Build, administer, automate, and support enterprise Redis environments across on-premises and multi-cloud platforms. Responsibilities include configuration, upgrades, migrations, high availability, backup and recovery, performance tuning, monitoring, security, incident response, infrastructure as code, and operational documentation. The engineer collaborates across application, infrastructure, security, SRE, network, and cloud teams, participates in on-call rotations, and works overnight hours.

Build, operate, and evolve Lantern’s cloud infrastructure and engineering platform. Responsibilities include managing GCP infrastructure, Terraform-based infrastructure as code, CI/CD, observability, databases, security, automation, developer tooling, reliability, and incident response. The role partners with product engineers to improve deployment safety and developer experience, participates in an on-call rotation, and supports production systems across networking, IAM, secrets, monitoring, and cloud-native services.

Build and operate CLEAResult’s Databricks data platform, including ingestion, transformation, governed silver and gold layers, analytics data products, orchestration, and AI-assisted pipelines. Responsibilities include Salesforce ingestion, Unity Catalog governance, PII masking, infrastructure-as-code deployment, CI/CD, LLM endpoint evaluation, pipeline troubleshooting, and documentation. The role requires strong Python, SQL, PySpark, Databricks, Azure, and data governance experience, along with effective communication across technical and business teams.

Designs and owns reusable Terraform modules, multi-cloud abstractions, internal SDKs, code-generation tools, testing frameworks, and policy controls. Develops platform components, CI/CD pipelines, and cloud-native automation across Azure and AWS. Leads architecture, code reviews, technical initiatives, incident response, and root-cause improvements while mentoring engineers. Participates in on-call rotations, improves Agile delivery practices, and implements AI-assisted and agentic engineering workflows.

Designs and owns reusable Terraform modules, multi-cloud abstractions, internal SDKs, code-generation tools, testing frameworks, and policy controls. Develops platform components, CI/CD pipelines, cloud automation, and AI-assisted engineering workflows across Azure and AWS. Leads architecture, code reviews, incident response, root-cause analysis, technical initiatives, and operational improvements while mentoring engineers and participating in on-call rotations.

Develop and maintain reusable cloud platform software and Terraform infrastructure across Azure and AWS. Build GitLab CI/CD pipelines, implement secure cloud capabilities, write tested production code, and improve reliability, observability, and maintainability. Participate in code reviews, Agile delivery, weekly on-call rotation, incident response, documentation, and approved AI-assisted engineering workflows.

Designs, deploys, and supports technology platforms across complex production environments. Responsibilities include troubleshooting hardware and software issues, improving performance and reliability, establishing technical standards, evaluating technologies, managing code promotions, documenting solutions, analyzing requirements, and mentoring junior engineers. The role partners with business stakeholders to deliver scalable technical solutions and supports system administration, technical design, releases, and special projects.

Architect and operate Affirm’s large-scale Amazon EKS compute platform, including cluster lifecycle, node management, autoscaling, shared components, infrastructure automation, workload safety policies, observability, cost and capacity optimization, and self-service workflows. The role drives technical strategy, mentors engineers, partners cross-functionally, and participates in on-call incident response.

Build and operate production AI agents, agentic workflows, MCP servers, and CX applications. Develop Python and TypeScript services, AWS infrastructure, integrations, testing, observability, security controls, and CI/CD pipelines. Partner with Customer Success and other CX teams to prototype solutions, translate workflows into technical plans, and deliver reusable platforms. Mentor engineers and non-engineers, document systems, establish governance, and support reliable handoff and shared ownership.

Design, build, operate, and support backend services powering an enterprise AI platform. Responsibilities include developing APIs, gateways, orchestration, tenancy, entitlements, metering, integrations, governed data access, and distributed platform capabilities. The engineer owns services across design, implementation, testing, deployment, monitoring, reliability, and support while addressing failure modes, consistency, idempotency, and scalability.