Senior Software Engineer

RADICL•Boulder, CO, CO

8d•$140,000 - $185,000•Hybrid

About The Position

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. About You You enjoy fast-paced environments, bring a positive attitude, and excel at getting things done. You enjoy being part of a high performing team and are also able to self-direct and self-start. You consider yourself to be top tier talent and are eager to help others raise their game. You enjoy working with customers, are an excellent communicator, and able to engage and interact with people of various backgrounds and skill levels. You want your work to have meaning, to be important. You want to be part of creating something great.

Requirements

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
Education: Bachelor's degree in computer science, data engineering, or related field—or equivalent professional experience (typically 3–6+ years)

Nice To Haves

Agentic/AI pipelines: Interest or experience with LLM-based data extraction

Responsibilities

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)