Build and evolve the investigation surface, alert-to-case lifecycle, response automation, integrations, and operability for Todyl's security platform.
Locations (3)
Denver, Colorado, United States
Augusta, Georgia, United States
Atlanta, Georgia, United States
Compensation
The anticipated base salary range for this position is $160,000-190,000 annually, with final compensation determined based on experience, skills, qualifications, and other job-related factors.
Responsibilities
Build and evolve the tooling our analysts use to triage and investigate
Build and own services along the path from signal to case to resolution
Build response actions and playbook capabilities on our SOAR and workflow layer
Build partner-tool integrations and sharpen the framework underneath them
Instrument what you build so failures surface before partners feel them
Requirements
Bachelor's degree in Computer Science, Cybersecurity, or a related field
Nice to have: Experience at a security vendor, MDR, MSSP, or in-house SOC tooling team
Nice to have: Familiarity with MSP/MSSP or multi-tenant environments
Nice to have: Contributions to open security or detection tooling
A hands-on technical leadership role within the Behavioural team focused on building intelligence layers that turn customer signals into marketing triggers.
Compensation
The base pay range for this position is $147,300 - $192,000 CAD/year, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.
Responsibilities
Shape the Behavioral Platform Architecture: Help define the technical vision, system boundaries, and architecture for services that transform customer activity signals into actionable trigger events.
Lead by Example: Be a hands-on technical leader who contributes directly to high-impact work through design, implementation, code review, debugging, and production support.
Build the Behavioral Decisioning Engine: Design and implement services that detect behavioral patterns across events, correlate signals across time windows, and determine trigger eligibility.
Design Stateful Contact Context: Help architect systems that maintain the short-lived behavioral state and lookback windows needed to evaluate patterns like ‘action without completion,’ multi-event intent signals, and state-change-driven triggers.
Establish a Reusable Pattern Framework: Help build declarative or rule-based capabilities that allow new behavioral triggers to be defined, configured, evaluated, and extended efficiently over time.
The EDGE Discovery team at Crunchyroll is focused on powering content discoverability experiences across the platform. We build and evolve the backend systems that enable anime fans worldwide to seamlessly discover, browse, search, and engage with Crunchyroll’s catalog.
Compensation
$203,400—$235,000 USD
Responsibilities
Design, develop, and evolve scalable backend systems that power search, recommendations, personalization, and content discovery experiences across Crunchyroll platforms
Lead architectural decisions for distributed systems with a focus on scalability, low latency, resiliency, observability, and operational excellence
Build and optimize APIs, metadata services, indexing pipelines, ranking systems, and recommendation infrastructure that support high-throughput user experiences
Partner closely with product, machine learning, data, and platform teams to improve discovery relevance, personalization quality, and experimentation capabilities
Drive backend platform improvements that enhance developer productivity, deployment safety, and service reliability
Technical lead for the W2 agentic layer, focusing on building AI agents to automate localization workflows. This is an individual contributor role involving architecture, backend services, and frontend applications.
Responsibilities
Build agents that use W2 tools and data to analyse situations, recommend actions and run workflows such as content analysis, routing and progress tracking.
Build the backend services, APIs and W2 integrations the agents depend on.
Build the web applications people use to configure agents, review and approve recommendations and inspect what an agent did and why, or adapt open-source tools where they give us a better start.
Implement retrieval and context handling so agents get the right data at the right time.
Make agents dependable: retries, recovery, idempotent actions, permissions and audit trails.
Seeking a Software Engineer to join the TEM Semiconductor value stream, driving the development of innovative 4D-STEM and Image Processing solutions for semiconductor metrology workflows. The role involves high-performance software development in Python, C#, and Rust.
Responsibilities
Design, develop, test, and maintain robust, scalable, and high-performance software solutions for advanced 4D-STEM applications.
Develop image-processing software and libraries to support advanced microscopy and metrology applications.
Develop scientific and computational software using Python, contributing to data acquisition, processing, analysis, and visualization workflows.
Write and maintain high-quality unit tests, integration tests, and system-level component tests to ensure software reliability and performance.
Participate in code reviews, promoting software quality, maintainability, and adherence to engineering best practices.
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