Top Remote Python Jobs in Houston, TX

Design, build, monitor, and maintain on-prem and cloud infrastructure for enterprise production systems. Improve automation, CI/CD pipelines, performance, and incident root-cause analysis while collaborating with development, operations, and security teams.

Design, build, and optimize Java-based data pipelines and integrations from SQL/NoSQL and cloud sources. Create BI dashboards and automated reports, design storage for structured/unstructured data, document processes, and follow production deployment best practices to deliver actionable analytics.

Build and maintain tools for merchandisers to manage product discovery. Deliver features for the Searchandizing dashboard, improve usability, own full stack projects from idea to production, work with PMs/Designers/EMs, and handle testing, CI/CD, deployment, and production ownership.

Drive reliability and observability of Epic's GCP-based platform. Own cloud infrastructure, container platform (Kubernetes/GKE), CI/CD, observability, and IaC (Terraform). Define SLOs/SLIs, reduce toil, manage security and compliance practices, participate in on-call rotations, lead incident response and post-mortems, and partner with product and data teams to troubleshoot and improve platform reliability.

Lead and mentor a team of full‑stack/backend engineers building integrations, identity verification, SSO, account opening, funding/ACH pipelines, and a public API platform. Drive architecture and delivery, champion quality and reliability, partner with Product and Implementation on roadmap and escalations, and remain hands‑on to guide technical decisions and ship production software.

Design and build cloud-native ETL/ELT pipelines and microservices, modernize on-prem systems to distributed services, implement authentication/authorization and data governance, ensure data quality and observability, drive architecture and CI/CD best practices, mentor engineers, and collaborate with stakeholders across a US Navy-focused defense program.

Own and operate scalable infrastructure on GCP (GKE, Cloud Run, AlloyDB); author Terraform modules; manage containerized workloads; build observability in Datadog; design CI/CD in GitHub Actions; automate operational workflows; lead incident response and post-mortems; partner with engineers to improve reliability, cost, and automation.

Design, develop, and operate monitoring and observability solutions for flagship supercomputers. Build data pipelines to process large telemetry and logs, respond to incidents, implement mitigations, write postmortems, and improve reliability, performance, and operational runbooks at scale.

Ensure reliability, scalability, and usability of network infrastructure for Akamai Connected Cloud. Define requirements and SLOs, build automation and CI/CD pipelines, collaborate with dev/QA to improve code and stability, troubleshoot complex network issues (on-call), and mentor teammates while driving architectural standards.

Lead a team of software engineers to deliver backend services, platform components, automation, observability, and AI-assisted tooling. Own end-to-end delivery, architecture, testing, and operational readiness. Drive engineering standards, cross-functional collaboration, hiring, coaching, and continuous improvement with emphasis on security, reliability, and scalable platform patterns.

Design, deploy, and operate large-scale RDMA/RoCE network fabrics for OCI AI/HPC customers. Lead lifecycle and incident management, perform root cause analysis, develop automation and tooling, collaborate with product and vendor teams, and mentor junior engineers to improve reliability and operational readiness.

Design, build, and operate large-scale, highly available distributed file storage services on Oracle Cloud. Lead architecture and development, troubleshoot and optimize performance, collaborate with product management, and establish operational best practices.

Designs, deploys, administers, and maintains enterprise SAN storage infrastructure (arrays, SAN switches). Performs provisioning, zoning, masking, replication, performance monitoring, troubleshooting, security remediation, compliance support, vendor coordination, lifecycle management, and provides on-call and onsite support for federal data center operations.

Drive cloud cost visibility and optimization across multi-cloud infrastructure. Implement tagging, cost allocation, forecasting, anomaly detection, dashboards, governance, and automation. Partner with engineering and finance to recommend reserved instances, rightsizing, savings plans, and architectural improvements while leveraging AI analytics to surface opportunities and protect service reliability.

Build and support TimescaleDB Enterprise on‑prem deployment and management platform. Develop frontend tooling (React/TypeScript), backend services (Go), deployment automation (Ansible), and operational PostgreSQL tooling. Write tests across unit to end-to-end, collaborate with cross-functional teams, translate operational requirements into pragmatic product solutions, and iterate on reliability and usability.

As a Community Engineer, you will develop AI-powered tools and maintain community operations, engaging with diverse software engineers and delivering projects independently.

Perform calibration, chip-level testing and validation of high-speed photonics/optoelectronic devices (up to 200GHz). Develop and execute test methods, analyze results, optimize performance, design high-speed devices, document procedures, mentor junior staff, and ensure safety and quality compliance.

Design, build, and operate a next-generation CDP/messaging platform at scale. Define infra topology, scaling, blast-radius limits, and safety guardrails for AI agents. Own reliability, capacity, cost, security boundaries, incident leadership, and author self-verifying runbooks and checks so automation can operate safely.

Senior backend-focused engineer to provide technical leadership across backend, APIs, and data pipelines. Collaborate with product, design, and stakeholders, author documentation, and drive engineering best practices on a distributed remote team building scalable energy software.

Design, automate, and maintain datacenter, cloud, and office networks. Develop automation (Ansible, scripts), troubleshoot connectivity, implement security, manage network OSes, participate in 24/7 on-call, and collaborate with engineering teams.

Design, implement, and manage secure, scalable AWS infrastructure using IaC (Terraform/CloudFormation), CI/CD pipelines, container orchestration (Docker/Kubernetes/EKS), cloud security controls, monitoring, and disaster recovery while collaborating with development teams to support reliable application deployments for a VA project.

Build and maintain cloud-native platform infrastructure and Kubernetes clusters, develop IaC and CI/CD pipelines, support IAM and monitoring, manage certificates and container security, participate in on-call incident response, and document runbooks and standards while mentoring junior engineers.

Design and implement scalable, highly available Azure Storage backend components. Maintain and automate storage repositories and DevOps pipelines, improve test automation, troubleshoot deployments and networking, act as on-call DRI for reliability, and collaborate on design and operational improvements.

The Machine Learning Engineer will build data-intensive products, deploy ML models, analyze datasets, and collaborate with product teams to enhance Nextdoor's platform.

Lead RTL verification for RAIN RFID reader ICs across product lifecycle. Develop verification methodologies, SystemVerilog/UVM testbenches, BFMs, assertions, coverage metrics, CI/CD automation, and constrained-random tests. Collaborate with digital, analog, and silicon teams to ensure tape-out quality and support post-silicon validation and product improvements.