Senior Software Engineer

As the leading provider of Cybersecurity-as-a-Service (CSaaS), RADICL is revolutionizing advanced cyberthreat protection for small and medium-sized businesses (SMBs) in the U.S. Defense Industrial Base (DIB) and other regulated industries. No longer should SMBs be satisfied with lack luster solutions delivering lack luster protection. RADICL is ushering in a new era of turn-key and affordable cyberthreat protection via its AI-powered virtual SOC platform that allows human and digital agents to quickly and seamlessly become SMBs’ day-to-day compliance and security operations team. 

RADICL’s turn-key CSaaS offering uniquely combines compliance management with AI and expert-driven 24/7 security operations. We guide customers to regulatory and best practice adherence with standards like CMMC and NIST CSF while also delivering 24/7 threat monitoring, deep-spectrum™ threat hunting, incident response, vulnerability management, and security awareness training. 

With RADICL, customers can stay mission focused, confident their front, rear, and flank are protected, affordably and without compromise. 

If you’re excited about working with industry experts to help SMBs focus on growing their businesses without the constant worry of security and compliance risks, we invite you to join us in our mission to protect American businesses and drive innovation in cybersecurity.

RADICL is seeking a Senior Software Engineer to join our platform team. You'll design and build API integrations and highly scalable data processing pipelines that power our security data ingestion, handling both structured and unstructured data from diverse security tools and log sources. You'll be integrating log collectors and forwarders (Fluentd, Fluent Bit, Vector, Logstash, Elastic Beats) and working with data from EDR platforms, cloud providers, compliance tools, and other security data sources. Your work will directly impact how quickly and accurately we onboard new data sources and how effectively our AI-powered virtual SOC delivers threat detection and compliance capabilities. You will also be a key part of implementing our agentic automation for parsing and mapping dynamic data sources. 

If the above excites you, RADICL is seeking high-performing, motivated individuals to join our mission. As an early member, you will work closely alongside an experienced founding team. You will work with the latest tech stack tools and platforms. You will have a significant impact on the growth of an innovative cybersecurity offering in the SMB space. You will receive an outsized equity grant and realize the life-changing experience of building a company.

• Cloud-native, distributed systems — reliability, performance, and security in AWS, GCP, or Azure; microservices; Docker and Kubernetes; CI/CD (e.g. GitHub Actions).

• Architecture and quality — help shape how systems connect; code review, testing, documentation, and clear tradeoffs 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 (e.g., 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)

• 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; comfort with both structured (JSON, CEF, syslog, CSV) and unstructured log formats

• Log collection/forwarding tools: Experience with one or more of 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 or similar 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)