Top Tech Jobs & Startup Jobs

Leads analysis of complex, high-severity security events across SIEM, network, cloud, and endpoint environments. Provides expertise in evidence preservation, mentors junior analysts, develops detection recommendations, supports SOC reporting, serves as shift technical lead, leads incident retrospectives, and partners with threat intelligence and hunting teams to operationalize indicators of compromise. Requires extensive cybersecurity experience, federal mission expertise, and advanced security certifications.

Leads Attack Sensing and Warning operations within a federal SOC, overseeing Tier I monitoring, Tier II analysis, incident triage, executive reporting, alert configuration, data spillage response, metrics, SOP compliance, stakeholder reporting, and analyst development. Requires extensive cybersecurity and risk experience, U.S. citizenship, and strong knowledge of incident response, detection, vulnerabilities, access controls, DLP, encryption, and advanced threat protection.

Supports and engineers an Enterprise Logging Solution/SIEM across cloud and on-premise environments. Responsibilities include architecture, implementation, data ingestion, system onboarding, dashboard development, correlation rules, signatures, risk scoring, whitelist and blacklist management, AI/ML integration, testing, change control, project scheduling, user support, and outage response. The role also performs security and logging compliance assessments, gap analyses, and ongoing operations and maintenance.

Crafts strategic copy for email and scripted phone campaigns, develops call-center scripts and training materials, collaborates with strategists, designers, technology teams, clients, and legal reviewers, conducts creative testing and quality assurance, maintains brand voice, and uses AI to improve drafting and proofreading.

Build and optimize batch and streaming data pipelines on Google Cloud for analytics and machine learning. Develop Python, SQL, Beam, and Spark transformations; deliver curated and ML-ready datasets; implement data quality, governance, security, monitoring, and schema management; optimize BigQuery; maintain Airflow DAGs; and manage Terraform-based infrastructure and CI/CD. Collaborate with architects, data scientists, ML engineers, and stakeholders while troubleshooting pipeline and data quality issues.

Build and optimize batch and streaming data pipelines for analytics and AI workloads using GCP services, Python, SQL, Beam, and Spark. Develop ML-ready datasets, implement data quality, governance, security, monitoring, and schema management, and optimize BigQuery performance. Maintain Airflow DAGs, Terraform infrastructure, and CI/CD pipelines. Troubleshoot production issues and collaborate with architects, data scientists, ML engineers, and stakeholders. The role requires U.S. citizenship, a bachelor’s degree, Public Trust eligibility, and 3–6+ years of experience.

Designs enterprise data lake, warehouse, streaming, governance, security, and AI/ML architectures on GCP. The role develops data models and pipelines, optimizes BigQuery and GCS performance and costs, establishes compliance and DevSecOps standards, leads architecture reviews, conducts proofs of concept, and mentors technical teams. Responsibilities include IAM, encryption, metadata, lineage, data quality, schema evolution, infrastructure as code, CI/CD, observability, and governed self-service analytics.

Serves as the technical authority for evaluating and integrating emerging technologies, including AI, machine learning, cloud, and advanced analytics. Develops technology roadmaps, governance frameworks, adoption strategies, and executive recommendations while ensuring enterprise architecture alignment, zero-trust security, secure integration, and cross-enclave interoperability. Collaborates with government, industry, academic, and research organizations to improve mission effectiveness and operational readiness in national security and other highly regulated environments.

Design, develop, configure, test, deliver, and maintain software systems for federal government clients. The role participates in multiple phases of the software development lifecycle, translates requirements into technical solutions, applies software development methodologies and tools, troubleshoots issues, and supports quality assurance, post-deployment maintenance, and enhancements.

Designs, develops, tests, deploys, and enhances Microsoft Power Platform applications and automated solutions. Translates user stories into secure, maintainable technical implementations using Power Apps, Power Automate, databases, web technologies, APIs, and low-code platforms. Responsibilities include agile collaboration, unit testing, troubleshooting, performance validation, documentation, training, knowledge transfer, and application security.