Asks for

The ad says“Set standards for production readiness across AWS services such as CloudFront, S3, API Gateway, ECS, Lambda, RDS, and related cloud-native infrastructure.”
The ad says“Set standards for production readiness across AWS services such as CloudFront, S3, API Gateway, ECS, Lambda, RDS, and related cloud-native infrastructure.”
The ad says“Strong experience with Docker or container platforms, GitHub, CI/CD, observability, and cloud security practices.”
The ad says“Set standards for production readiness across AWS services such as CloudFront, S3, API Gateway, ECS, Lambda, RDS, and related cloud-native infrastructure.”
The ad says“Strong experience with Docker or container platforms, GitHub, CI/CD, observability, and cloud security practices.”
The ad says“Set standards for production readiness across AWS services such as CloudFront, S3, API Gateway, ECS, Lambda, RDS, and related cloud-native infrastructure.”
The ad says“Strong experience with Docker or container platforms, GitHub, CI/CD, observability, and cloud security practices.”
The ad says“Set standards for production readiness across AWS services such as CloudFront, S3, API Gateway, ECS, Lambda, RDS, and related cloud-native infrastructure.”
The ad says“Lead the engineering of AI-enabled product capabilities, including LLM integrations, retrieval and evaluation pipelines, orchestration, tool use, and human-in-the-loop controls appropriate for enterprise workflows.”
The ad says“Design and evolve scalable APIs, distributed services, and data flows using TypeScript, Node.js, Redis, OpenSearch, PostgreSQL, and event-driven patterns.”
The ad says“Design and evolve scalable APIs, distributed services, and data flows using TypeScript, Node.js, Redis, OpenSearch, PostgreSQL, and event-driven patterns.”
The ad says“Lead the engineering of AI-enabled product capabilities, including LLM integrations, retrieval and evaluation pipelines, orchestration, tool use, and human-in-the-loop controls appropriate for enterprise workflows.”
The ad says“Drive secure-by-design implementation, including OWASP-aligned practices, tenant isolation, data protection, secrets management, access control, and compliance-aware engineering decisions.”
The ad says“Design and evolve scalable APIs, distributed services, and data flows using TypeScript, Node.js, Redis, OpenSearch, PostgreSQL, and event-driven patterns.”
The ad says“Demonstrated experience building or operating AI-enabled software in production, including LLM application patterns, RAG or retrieval systems, tool calling or workflow orchestration, evaluation, monitoring, and risk controls.”
The ad says“Set standards for production readiness across AWS services such as CloudFront, S3, API Gateway, ECS, Lambda, RDS, and related cloud-native infrastructure.”
The ad says“Design and evolve scalable APIs, distributed services, and data flows using TypeScript, Node.js, Redis, OpenSearch, PostgreSQL, and event-driven patterns.”
The ad says“Lead the engineering of AI-enabled product capabilities, including LLM integrations, retrieval and evaluation pipelines, orchestration, tool use, and human-in-the-loop controls appropriate for enterprise workflows.”
The ad says“Demonstrated experience building or operating AI-enabled software in production, including LLM application patterns, RAG or retrieval systems, tool calling or workflow orchestration, evaluation, monitoring, and risk controls.”
The ad says“Set standards for production readiness across AWS services such as CloudFront, S3, API Gateway, ECS, Lambda, RDS, and related cloud-native infrastructure.”
The ad says“Lead the engineering of AI-enabled product capabilities, including LLM integrations, retrieval and evaluation pipelines, orchestration, tool use, and human-in-the-loop controls appropriate for enterprise workflows.”
The ad says“Design and evolve scalable APIs, distributed services, and data flows using TypeScript, Node.js, Redis, OpenSearch, PostgreSQL, and event-driven patterns.”
The ad says“Demonstrated experience building or operating AI-enabled software in production, including LLM application patterns, RAG or retrieval systems, tool calling or workflow orchestration, evaluation, monitoring, and risk controls.”

Case IQ is a leading B2B SaaS company in the governance, risk, and compliance (GRC) space, helping organizations build safer, more accountable workplaces. We offer a comprehensive suite of solutions that enable organizations to move from reactive approaches to proactive risk management. Our software helps teams across compliance, HR, legal, and investigations report, manage, investigate, and prevent workplace risk - including ethics violations, fraud, harassment, discrimination, security incidents, and third-party issues - so they can better protect their people, culture, and business.

Backed by over 25 years of domain expertise and trusted by Fortune 500 companies, Case IQ has supported the management of millions of cases and helped mitigate billions in financial and reputational risk.

Role Summary

As a Senior Software Application Developer you will help set technical direction and deliver durable, secure software for Case IQ’s platform. You will help lead complex cross-functional initiatives, raise engineering standards, and shape how product teams use AI-native and agentic engineering practices to move from idea to production safely and effectively.

AI-Forward Ways of Working

At Case IQ, AI is part of how we build. We look for engineers who can use AI-assisted development and agentic workflows with strong technical judgment: defining clear intent and constraints, validating outputs, protecting customer data, and keeping humans accountable for production decisions. You will help establish practical patterns for responsible AI use across discovery, design, implementation, testing, observability, and operations.

What You’ll Do

Own the architecture and technical direction for high-impact platform capabilities, balancing product velocity, reliability, security, maintainability, and long-term operating cost.
Design and evolve scalable APIs, distributed services, and data flows using TypeScript, Node.js, Redis, OpenSearch, PostgreSQL, and event-driven patterns.
Lead the engineering of AI-enabled product capabilities, including LLM integrations, retrieval and evaluation pipelines, orchestration, tool use, and human-in-the-loop controls appropriate for enterprise workflows.
Establish agentic SDLC practices that improve delivery quality and speed: specification driven development, AI assisted design and implementation, automated test generation, code review support, release validation, and incident investigation.
Build robust evaluation and guardrail systems for AI assisted and agentic workflows, covering quality, safety, security, privacy, observability, cost, regression detection, and rollback.
Set standards for production readiness across AWS services such as CloudFront, S3, API Gateway, ECS, Lambda, RDS, and related cloud-native infrastructure.
Drive secure-by-design implementation, including OWASP-aligned practices, tenant isolation, data protection, secrets management, access control, and compliance-aware engineering decisions.
Lead ambiguous, multi-team initiatives from technical discovery through rollout; make sound trade-offs and communicate rationale clearly to engineering, product, design, QA, and leadership.
Raise the bar for engineering excellence through architecture reviews, high-signal code reviews, automated testing, CI/CD quality gates, reliability practices, and pragmatic documentation.
Mentor senior and developing engineers, multiply team capability, and help shape technical roadmaps, hiring, and engineering operating practices.

Who You Are

Bachelor’s degree in Engineering, Computer Science, or a related field, or equivalent depth of professional experience.
10+ years of software engineering experience, including substantial experience designing and operating large-scale, customer-facing SaaS systems; demonstrated technical leadership across teams is essential.
Deep expertise in TypeScript, Node.js, SQL, API design, distributed systems, and pragmatic system architecture.
Demonstrated experience building or operating AI-enabled software in production, including LLM application patterns, RAG or retrieval systems, tool calling or workflow orchestration, evaluation, monitoring, and risk controls.
Hands-on experience using and improving AI-native or agentic SDLC workflows while maintaining rigorous human review, test coverage, security controls, and accountable engineering ownership.
Strong experience with Docker or container platforms, GitHub, CI/CD, observability, and cloud security practices.
Expert judgment in event-driven architecture, multi-tenancy, performance, reliability, and security; able to choose simple, resilient solutions under real delivery constraints.
Exceptional written and verbal communication, with the ability to influence technical direction and explain complex trade-offs to varied audiences.
A coaching mindset and a track record of raising the effectiveness of teams through mentoring, standards, and collaborative technical leadership.

Perks and Benefits

Work remotely within a flexible work environment (We have employees spanning 7 countries!)
Competitive company-paid benefits plan starting day 1!
Generous professional development budget
RRSP/ 401k matching program
Half-day Fridays in the summer

Selected candidates will be contacted through BambooHR (please check your junk mail).

Case IQ is an equal opportunity employer. All qualified applicants are given consideration regardless of race, religion, color, gender, sex, age, sexual orientation, gender identity, national origin, marital status, citizenship status, disability, veteran status, or any other protected class as provided in applicable employment laws. If you have a disability or special need that requires accommodation, please contact us at hr@caseiq.com.