Top Remote Senior Level Jobs in Houston, TX

Performs incident response and digital forensics across enterprise and cloud environments. Responsibilities include real-time incident management, malware and memory analysis, evidence preservation, network and filesystem analysis, technical reporting, threat hunting, detection-rule development, security monitoring enhancement, customer assessments, tabletop exercises, and lessons learned. The role also maintains forensic laboratories, develops security procedures, supports SOC leadership, and participates in rotating on-call coverage.

The Senior Archer Engineer develops, implements, administers, and supports RSA Archer eGRC solutions. Responsibilities include custom Archer development, system administration, integrations through APIs, data imports and exports, reporting, user account management, troubleshooting, system availability, user training, and technical support. The role also applies NIST risk management and security control frameworks, collaborates with security and infrastructure teams, and participates in on-call support.

Provides security engineering and compliance expertise for FedRAMP Cloud Service Providers. Reviews cloud architectures, authorization packages, security controls, system security plans, assessment reports, vulnerability scans, and penetration tests. Leads architecture interviews, identifies technical and documentation gaps, advises government stakeholders on risk and compliance, supports continuous monitoring, and guides vendors on FedRAMP, NIST, FISMA, RMF, and agency requirements.

Lead backend development to scale and harden API infrastructures, implement unit testing playbooks, optimize core algorithms, support migration from Supabase to a robust cloud provider, ensure system reliability and scalability, collaborate with frontend and DevOps, and integrate AI workflows and RPA where applicable.

Build reference software codebases, support NGOs developing generative AI products, integrate diverse data sources, create experimentation tools, and deliver rapid cloud-based solutions. The role includes advising and mentoring partner organizations, conducting rigorous experiments, improving analytics infrastructure, organizing technical workshops, and visiting NGO sites to identify technical needs. Candidates need strong full-stack engineering, backend, data engineering, cloud, database, and generative AI experience.

Own and improve the organization’s internal operating systems. Lead scorecard, OKR, and KPI implementation; translate strategy into measurable goals; develop operational frameworks and policies; optimize cross-functional processes; identify bottlenecks and risks; and manage the technology stack. The role requires hands-on strategic execution, documentation, training, communication, and organization-wide adoption in a distributed APAC-based team.

Manages and evolves enterprise data lakes and warehouses, designing scalable AWS-based batch, CDC, and near-real-time ETL/ELT pipelines. Builds data quality, governance, lineage, security, monitoring, and recovery controls; optimizes Spark, Glue, Athena, Redshift, and S3 workloads. Develops reusable Python, SQL, and PySpark frameworks, supports schema evolution and analytical data modeling, and collaborates with business and technical stakeholders to deliver reliable data solutions.

Designs and evolves scalable, secure distributed systems and cloud-native microservices architectures. Responsibilities include event-driven architecture with Kafka, GraphQL and mobile/backend integration, Docker and Kubernetes deployment, AWS infrastructure, Infrastructure as Code, security, observability, HIPAA compliance, architecture reviews, threat modeling, documentation, prototyping, and technical enablement. The role partners with engineering, product, and business stakeholders to guide platform strategy and architectural standards.

Oversee database design, administration, security, performance, availability, backup, and recovery across cloud and on-premises environments. Install, configure, upgrade, patch, monitor, and troubleshoot PostgreSQL databases; administer Amazon RDS and Aurora; support migrations and data integration using AWS services. Develop database standards, optimize performance, maintain integrity controls, and collaborate with architecture, engineering, security, and organizational stakeholders.

Lead technical strategy for customer accounts, design scalable data engineering and real-time analytics architectures, and drive Databricks adoption. Advise senior customer stakeholders, lead architecture discussions, develop custom solutions for competitive opportunities, coordinate cross-functional teams, and influence product direction. The role requires deep expertise in Spark, Kafka, data warehousing, cloud platforms, Python, SQL, distributed systems, and production deployments. Travel may reach 30%.

Advise enterprise customers on designing, securing, administering, and deploying Databricks environments on Microsoft Azure. Architect scalable cloud infrastructure, networking, identity, disaster recovery, observability, and infrastructure-as-code solutions. Support pre-sales activities through proof-of-concept architectures and technical content, while sharing expertise through training, tutorials, hackathons, conferences, and open-source contributions.

Customer-facing technical leader who architects, builds, and optimizes large-scale data engineering and lakehouse solutions on Databricks. Supports pre-sales and delivery with POCs, performance/load testing, workload sizing, migrations, observability, and adoption through workshops and community engagement.

Own the strategy, roadmap, pricing, packaging, lifecycle, and commercial performance of Quest’s KACE endpoint management portfolio across SaaS, hosted, and on-premises models. Translate customer and market signals into product requirements, prioritize Agile development, support retention and renewals, conduct competitive research, and coordinate positioning, launches, analyst engagement, and enablement across Engineering, Sales, Marketing, Renewals, and Customer Success.

Own strategic enterprise customer relationships from deployment through adoption, value realization, renewal, and retention. Develop success plans, manage executive stakeholders, monitor customer health and KPIs, facilitate executive business reviews, identify expansion opportunities, handle escalations, and coordinate Sales, Support, Product, Renewals, and Professional Services. Mentor CSM peers and improve scalable customer success processes.

Investigates suspected insurance fraud across auto, property, casualty, workers’ compensation, and specialty lines. Reviews claims and policy files, identifies red flags, gathers and documents evidence, conducts field and desktop investigations, coordinates investigative vendors, and prepares detailed reports. Partners with claims, underwriting, legal teams, regulators, law enforcement, and fraud bureaus. Provides fraud detection training and uses investigative databases and AI-enabled tools to support analysis and decision-making.

Investigates suspected insurance fraud across auto, property, casualty, workers’ compensation, and specialty lines. Leads complex investigations, organized fraud cases, evidence gathering, interviews, investigative action plans, vendor coordination, and detailed reporting. Collaborates with claims, underwriting, legal partners, regulators, fraud bureaus, and law enforcement. Serves as a subject matter expert, mentor, and trainer on fraud detection, prevention, and investigative methodology.

Manage strategic K-12 SaaS accounts across Southern California, driving bookings, renewals, retention, and multi-suite expansion. Build territory plans, create pipeline, lead enterprise sales cycles from discovery through close, and manage RFPs, pricing, legal negotiations, and procurement. Maintain Salesforce forecasts and deal methodology standards while coordinating solution consulting, services, customer success, and partners. Develop executive relationships, conduct QBRs, relay market feedback, and travel 50–60% for strategic deals, demos, and workshops.

Leads product and portfolio strategy for Student Information and Family Engagement products. Conducts customer, market, competitive, and performance analyses; develops strategic recommendations, business cases, and executive-level narratives; and identifies growth, retention, pricing, packaging, partnership, and market opportunities. Partners cross-functionally with Product, Finance, Sales, Marketing, and Customer Success to inform roadmap prioritization and portfolio decisions, eventually owning a solution area.

Owns the full revenue lifecycle for named K-12 accounts, driving renewals, multi-suite expansion, pipeline creation, territory planning, executive engagement, and end-to-end deal execution. The role manages RFPs, pricing, legal and procurement processes, maintains Salesforce forecast discipline, coordinates overlay teams, conducts QBRs, relays market feedback, mentors sellers, and travels 50–60% for strategic customer initiatives.

Design, build, and deliver front-end features with strong UX focus. Own technical design, coding, testing, deployment, and monitoring in a continuous delivery, microservices environment. Collaborate with Product, implement automated QA practices, and contribute to production deployments while practicing robust testing methodologies.

Build and deploy production LLM agents for client engagements on the Gemini Enterprise Agent Platform. Responsibilities include agent development, tool and MCP integration, graph-based grounding, data pipelines, evaluation, observability, governance, infrastructure deployment, and catalog publishing. The role partners closely with client engineers, supports proofs of concept and demos, and transfers maintainable solutions to client teams.