Software Engineer

About RADICL RADICL is the leading provider of Cybersecurity‑as‑a‑Service (CSaaS), revolutionizing advanced cyberthreat protection for small and medium‑sized businesses (SMBs) in the U.S. Defense Industrial Base (DIB) and other regulated industries. We deliver turn‑key, affordable cyberthreat protection via an AI‑powered virtual SOC platform, allowing human and digital agents to quickly become SMBs’ day‑to‑day compliance and security operations team. Our offering combines compliance management with AI and expert‑driven 24/7 security operations, guiding customers to regulatory and best‑practice adherence with standards such as CMMC and NIST CSF while providing threat monitoring, deep‑Spectrum threat hunting, incident response, vulnerability management, and security awareness training. With RADICL customers can stay mission focused and confidently protect their front, rear, and flank affordably and without compromise. About the Role RADICL is looking for a Senior Software Engineer to join our platform team. You will design and build API integrations and highly scalable data processing pipelines that ingest security data, handling both structured and unstructured data from diverse security tools and log sources. Your work will directly impact how quickly and accurately new data sources are onboarded and how effectively our AI‑powered virtual SOC delivers threat detection and compliance capabilities. You will also help implement agentic automation for parsing and mapping dynamic data sources. About You You thrive in fast‑paced environments, bring a positive attitude, and excel at getting things done. You are self‑directed, a team player, top‑tier talent, and enjoy helping others raise their game. You enjoy interacting with customers, communicate clearly, and appreciate meaningful work. Key Responsibilities Build cloud‑native, distributed systems with reliability, performance, and security on AWS, GCP, or Azure; microservices; Docker and Kubernetes; CI/CD (e.g., GitHub Actions). Shape system architecture and quality: code review, testing, documentation, and clear trade‑offs in multi‑tenant, mission‑critical environments. Design and build API integrations for ingesting security data from third‑party tools (EDR, cloud providers, compliance platforms, and other security data sources). Develop log parsing and data mapping pipelines to normalize structured and unstructured log formats into our unified schema. Integrate with log collectors and forwarders (Fluentd, Fluent Bit, Vector, Logstash, Elastic Beats). Create and maintain data mappings between source schemas and our internal data model. Optimize ingestion performance and ensure data quality, completeness, and timeliness. Document integration specifications and support internal and external stakeholders with technical guidance. Contribute to the design of our emerging agentic parsing pipeline (LLM‑powered extraction for complex formats). Qualifications Data integration fundamentals: ETL design, RESTful API development, data mapping, and schema design. Log parsing and normalization: experience with regex, Grok‑style patterns, or similar; comfortable with structured (JSON, CEF, syslog, CSV) and unstructured log formats. Log collection/forwarding tools: experience with Fluentd, Fluent Bit, Vector, Logstash, Elastic Beats (Filebeat, Winlogbeat), OpenTelemetry Collector, rsyslog, or syslog‑ng. Security data platforms: familiarity with security data ingestion patterns; experience with Splunk, Microsoft Sentinel, Graylog, Sumo Logic, Google Chronicle, IBM QRadar, or similar platforms is valuable. Programming: strong proficiency in Go, Kotlin, and/or TypeScript. Data modeling: ability to design schemas for security/observability data; familiarity with Elasticsearch and Elastic Common Schema is a plus. Cloud and infrastructure: experience with AWS, Azure, or GCP; familiarity with Kafka or streaming pipelines is a plus. Security domain awareness: understanding of SIEM concepts, security tooling (EDR, firewalls, cloud logs), and compliance data (CMMC, NIST) is highly valued. Agentic/AI pipelines: interest or experience with LLM‑based data extraction (nice‑to‑have). Education: bachelor’s degree in computer science, data engineering, or related field—or equivalent professional experience (typically 3–6+ years). Workplace RADICL values culture and collaboration. We offer a hybrid work model: office in Boulder, CO on Monday/Wednesday/Thursday with work‑from‑home on Tuesdays and Fridays. Remote candidates may travel to Boulder for company events and collaboration opportunities. We provide comprehensive, competitive benefits including health, dental, vision, 401K, and a responsible PTO plan. Employee parking is available at our downtown Boulder office. Pay Range 140,000 – 185,000 USD per year (CO). #J-18808-Ljbffr