Top Remote Python Jobs in Houston, TX

Build, maintain, and operate Ookla’s globally distributed infrastructure platform at massive scale. Responsibilities include managing cloud instances, containers, serverless applications, databases, streaming systems, and big-data tooling; supporting 24/7 production operations and on-call rotations; implementing security programs; improving deployment pipelines, monitoring, observability, and reliability; and guiding software and data engineering teams on operational best practices and troubleshooting.

The DevOps Engineer supports software development teams across development platforms, compilation, deployment, monitoring, and the SDLC. Responsibilities include managing deployments, creating release structures, maintaining CI/CD processes, facilitating development and infrastructure team communication, researching new technologies, developing proofs of concept, and documenting systems and processes. The role requires enterprise IT engineering experience, systems administration knowledge, monitoring expertise, and familiarity with automation, containers, testing, and version control.

Own reliability, monitoring, and incident response for AI infrastructure; build automation and CI/CD tooling; manage Kubernetes/Docker production workloads; partner with infrastructure, security, and compliance; improve observability and documentation; develop internal full‑stack tooling in Go or Python.

Build and lead a centralized observability platform for satellite, ground-station, and distributed network systems. Responsibilities include scaling metrics, logging, and tracing infrastructure; defining SLOs, SLIs, and error budgets; enabling application instrumentation; automating deployments with Terraform and ArgoCD; monitoring Kubernetes, GCP, and AWS environments; and developing incident response, alerting, and reliability practices. The role includes on-call responsibilities and requires an active Top Secret/SCI clearance.

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

Build scalable backend services, APIs, workflow orchestration, integrations, and AI agent infrastructure for enterprise procurement, invoicing, contracts, and payments. Develop agent runtimes, multi-agent coordination, observability, evaluation, and testing systems. Ensure reliability, security, compliance, auditability, performance, and fault tolerance across distributed systems handling sensitive financial and operational data.

Build and maintain CI/CD pipelines, cloud infrastructure, Terraform automation, database systems, monitoring, and observability on Google Cloud. Support reliability, security, compliance, incident response, and shared on-call operations while applying backend engineering expertise to production services. The role manages PostgreSQL, Redis, BigQuery, Bigtable, and Firestore environments and contributes to disaster recovery and operational tooling.

Design, deploy, and maintain scalable AWS data and document-processing pipelines and production ML platforms. Build containerized workloads, automate infrastructure with Python and infrastructure-as-code, implement CI/CD, and manage security, networking, databases, monitoring, and observability. Operate GPU and CPU workloads, integrate generative AI and ML inference, resolve production incidents, optimize cost and performance, and collaborate with application, DevOps, data, infrastructure, and client teams.

Architect and operate North’s AWS and multi-cloud infrastructure, establishing IaC, CI/CD, security, observability, and disaster-recovery standards. Build AIOps capabilities including anomaly detection, predictive scaling, self-healing remediation, AI-assisted tooling, and cloud cost optimization. Collaborate with DevOps, SRE, Product Engineering, and InfoSec teams to deliver resilient, compliant, highly scalable platforms.

Lead the design, delivery, and production adoption of integrations-platform features, including SDKs, agents, job pipelines, developer tooling, and related services. Drive AI-enabled integration authoring, reliability, scalability, observability, and cross-platform support. Partner across product, platform, and customer teams to translate needs into technical solutions while providing architectural leadership, mentorship, and hands-on guidance across distributed systems and workflow orchestration.

Develop and operate highly scalable backend systems and AWS infrastructure. Responsibilities include maintaining Python HTTP services, working with DynamoDB, Elasticsearch, and Redis, provisioning cloud resources through infrastructure as code, reasoning about distributed systems, and owning software from design through monitoring. The role also focuses on reliability, security, performance, cost optimization, observability, technical roadmaps, and collaboration with engineering and product stakeholders.

Build and own Alkami’s next-generation sales demo tooling across front-end and back-end systems. Partner with Sales Engineering, Sales Leadership, Product, and Engineering to identify gaps, develop API- and SDK-based tools, evaluate technical stacks, and improve sales win rates. Provide technical expertise during complex financial-services deals, coach Sales Engineers, communicate technical value to senior stakeholders, and champion AI-assisted development workflows.

Design and build Go-based control-plane services, CSI drivers, storage integrations, observability tools, and infrastructure automation for Kubernetes AI platforms. Integrate enterprise and scale-out storage, support bare-metal and hybrid provisioning, and deliver declarative Terraform/OpenTofu and GitOps workflows. Architect reliable storage solutions for Kubernetes clusters, air-gapped environments, and sovereign infrastructure, including artifact mirrors and PKI/TLS.

Lead the design and development of mission-relevant software, build backend services and APIs, mentor engineers, and support technical demos.

Leads platform incident investigations, coordinates detection and resolution, performs root cause analyses, and designs customer-focused monitoring, alerting, and observability workflows. Builds automation, improves platform reliability, mentors engineers, and participates in on-call rotations. The role requires cloud, container orchestration, monitoring, logging, alerting, incident management, and production automation expertise.

Designs, develops, and supports enterprise-scale ETL/ELT pipelines and data warehouse solutions using Ab Initio, Snowflake, Azure, SQL, Python, and shell scripting. Responsibilities include metadata and lineage management, dimensional and Data Vault modeling, data quality validation, CI/CD, production troubleshooting, and batch, real-time, file-based, and API integrations. The role supports healthcare data domains such as claims, membership, providers, health plans, and benefits.

Build and maintain secure cloud-native platforms supporting Navy application teams. Integrate, package, deploy, and operate applications across Kubernetes and UDS environments; develop infrastructure as code, CI/CD pipelines, Helm configurations, and automation. Troubleshoot application and platform issues, implement security controls and vulnerability remediation, support observability, collaborate across technical teams, and contribute to platform strategy. The role also involves mentoring engineers and supporting Kubernetes distributions including EKS and RKE2.

Own portfolio-wide data center network architecture, structured cabling, security, OT segmentation, colocation connectivity, commissioning, and production operations. Design standards and construction specifications, review contractor work, manage monitoring, changes, capacity, incidents, and documentation, and serve as the escalation point for live-site network issues. The remote role requires heavy travel to active construction and commissioning sites.

Designs, engineers, deploys, commissions, and supports ROADM-based DWDM and OTN optical transport networks supporting 100G/400G services and IP/MPLS core connectivity. Responsibilities include optical link engineering, capacity planning, equipment specifications, vendor evaluation, automation, fault isolation, service provisioning, network turn-up, documentation, and technical mentorship. The role coordinates with architecture, operations, vendors, and fiber providers; participates in on-call support and travels to project sites as required.

Lead full-stack growth engineering across eligibility, identity, access, client configuration, and reporting systems. Build Python-based GraphQL and REST APIs, React and React Native experiences, scalable database systems, and secure HIPAA- and GDPR-compliant solutions. Own ambiguous cross-domain technical projects, write RFCs, coordinate roadmap delivery, mentor engineers, contribute to engineering strategy, and participate in on-call operations and remediation.

Build and maintain scalable microservices, APIs, and responsive React/TypeScript UIs for a modular security-operations platform. Integrate sensors and devices, implement real-time features (WebSockets, Kafka), design data models, participate in CI/CD, code reviews, sprint planning, and optimize full-stack features in a DevOps environment.

Build and operate scalable AWS cloud infrastructure using Terraform and infrastructure-as-code best practices. Develop enterprise cloud solutions focused on security, resilience, performance, and availability. Automate CI/CD pipelines using GitOps, ArgoCD, GitHub Actions, and Azure DevOps. Manage Kubernetes, service mesh, serverless applications, patching, upgrades, and infrastructure operations while collaborating with engineering, architecture, security, and customer teams.

Develop and maintain software in an agile, test-driven environment using pair programming. Lead technical decisions involving application and data model design, mentor engineers, collaborate cross-functionally with product and design, and ensure application stability and performance. Participate in on-call support and improve system reliability. Use AI developer tools to accelerate development and improve code quality.

Own the reliability, performance, availability, scalability, and cost efficiency of production Aurora MySQL databases on AWS. Responsibilities include observability, alerting, query optimization, replication, backups, disaster recovery, schema migrations, reader topology, cost optimization, runbooks, incident response, and database performance reviews. The role partners with engineering teams, supports HIPAA-compliant handling of PHI, and establishes reliable database operating practices.

Develop and implement embedded device and system software, analyze system efficiency and stability, optimize I/O performance, support software quality assurance, and code, test, and troubleshoot low-level software. The internship provides hands-on engineering experience, mentorship, and professional development. Candidates must be pursuing a relevant engineering or computer science degree and remain enrolled after the internship.