Lead the engineering and SaaS operations organization end to end, defining how the organization builds and runs software in the AI era, owning people, architecture, quality, delivery, production reliability, and customer outcomes.
Compensation
CAD $260,000/year
Responsibilities
Lead, hire, and develop Directors, architects, and their teams; set and hold the hiring bar
Make AI-assisted development, testing, review, and operations the way the organization works
Run engineering experiments with baselines and clear scale, modify, or stop decisions
Own quality, releases, and production reliability: uptime and SLAs, on-call, incidents, security operations, and cloud cost
Own architecture across our products, including legacy modernization and standards for AI-generated code
Build and maintain infrastructure for OPSWAT’s MetaDefender Cloud platform, ensuring fast, secure, and highly available operations across multiple AWS regions.
Responsibilities
Build and maintain Infrastructure as Code with Terraform, Kubernetes manifests with Kustomize and Helm, delivered through GitOps (Argo CD) across multiple AWS regions
Operate and improve CI/CD pipelines in GitHub Actions
Support development teams in deploying and running containerized microservices on Amazon EKS
Monitor system health, performance and cost; troubleshoot and respond to production incidents
Automate routine operational tasks such as scaling, patching, backups and new-region setup
Requirements
Bachelor’s degree in Computer Science or a related field, or equivalent practical experience
Build responsive, high-performing user experiences across Risk Cloud®, our market-leading AI GRC platform, designing, developing, and shipping scalable front-end features using TypeScript and Angular, while collaborating with product, design, QA, and back-end teams.
Compensation
The anticipated base salary range for the role is $105,000 - $130,000 per year + variable + equity + benefits.
Responsibilities
Design, build, and ship scalable features using TypeScript and Angular on the front end and interfacing with Java, Kotlin, and Spring Boot on the back end.
Build and evolve REST APIs with consuming front-end interfaces in mind, maintaining stable, versioned, and clearly documented contracts for cross-squad integration.
Own the health of released features by investigating customer-reported issues alongside Support and QA, translating findings into actionable fixes and enhanced monitoring.
Partner with Product, Design, QA, and fellow engineers during Agile sprints, working primarily from our Chicago HQ to foster in-person collaboration, rapid iteration, and team trust.
Operate in a self-directed manner to estimate effort, deliver on sprint commitments, and proactively communicate blockers or updates in Jira and shared team channels.
We’re hiring a Senior Software Engineer to own the design and delivery of significant features on a mature, cloud-based production platform, and to lift the quality of the engineers around you while you do it.
Compensation
Competitive compensation based on experience
Responsibilities
Build what matters
Design and deliver complex features end to end, from requirements through rollout and iteration, using Java and PHP on the back end and contributing to the front end as needed.
Work with PMs and designers to shape requirements: ask who the user is, challenge assumptions, and propose simpler paths.
Define what success looks like before you build, then measure it after you ship.
Write clean, maintainable, well-tested code and set the standard in code reviews.
Requirements
Bachelor’s degree in Computer Science or a related field, or equivalent experience
Windows Application Packaging and Deployment Engineer responsible for enterprise software lifecycle, packaging, and deployment across corporate Windows ecosystem.
Locations (2)
Boston, Massachusetts, United States
Hingham, Massachusetts, United States
Responsibilities
Convert vendor executables into standardized Windows Installer and virtualized packages
Develop unattended and silent installation routines using PowerShell, VBScript, and PSADT
Configure and execute enterprise-wide software distribution using Intune and MECM/SCCM
Collaborate with software owners to define installation switches and dependencies
Conduct smoke testing, UAT, and compatibility validation
Legal AI Engineer fluent with both lawyers and technical teams, designing legal workflows, engineering prompts, and bridging law and engineering to improve AI tools for legal use cases.
Compensation
The estimated base salary range for this position is $185,000 to $250,000 at the time of posting.
Responsibilities
Design legal workflows
Engineer prompts
Bridge law and engineering
Configure and test AI tools
Champion user support for lawyers
Requirements
JD
Nice to have: Legal tech experience
Nice to have: Startup experience
Nice to have: No-code/low-code builders (Framer, Squarespace)
Design and build computer vision and machine learning solutions for Apple products, collaborating with experts in graphics, vision, and ML to create high-impact features.
Responsibilities
Collaborate with multimodal GenAI researchers and engineers to develop audio‑video perception algorithms
Build, integrate, and maintain complex real‑time systems within a large production software stack
Optimize on‑device performance and low‑level systems programming
Develop user‑facing APIs for complex systems
Profile and optimize performance‑critical code or ML inference on device
Requirements
Bachelor's degree in Computer Vision, Computer Graphics, Machine Learning, Computer Science, Computer Engineering or related fields
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