cover image
Shields Group Search

Shields Group Search

www.shieldsgroupsearch.com

3 Jobs

8 Employees

About the Company

Shields Group Search specializes in serving early stage VC and PE backed companies. We offer recruitment and hiring solutions that are industry-agnostic with a particular emphasis on commercial and operational roles. Leveraging tech enabled sourcing and an unwavering commitment to selectivity, our firm identifies and recruits the best candidates to meet your business needs. Backed by a team of seasoned professionals, we ensure confidentiality, quality, and efficiency, in every search, providing our clients with a distinctive competitive edge. At Shields Group Search, we don't just fill roles; we build partnerships. Official Recruitment Partner of LvlUp & NextUp Ventures: https://www.lvlup.vc/ General Inquiries: contact@shieldsgroupsearch.com Recruitment Services: thomas@shieldsgroupsearch.com

Listed Jobs

Company background Company brand
Company Name
Shields Group Search
Job Title
DevOps Engineer
Job Description
**Job Title:** DevOps Engineer **Role Summary:** Join a fintech software engineering team to design, deploy, and manage infrastructure for on-premises and cloud-agnostic fintech software solutions. Focus on automation, security, and operational excellence to support global clients in digital asset integration. **Expectations:** Proven fintech experience required. 5+ years in DevOps, SRE, or infrastructure engineering roles. Expertise in on-premises enterprise software deployments and cloud-agnostic design (AWS preferred). Strong hands-on proficiency with infrastructure and CI/CD tools. **Key Responsibilities:** - Design, implement, and manage infrastructure for on-premises and cloud fintech software. - Develop and maintain Helm, Kubernetes, Docker, Terraform, and CI/CD pipelines for automation and scalability. - Troubleshoot infrastructure, deployment, and application runtime issues. - Collaborate with engineering teams to optimize reliability, security, and performance. - Document deployment processes, disaster recovery, and operational best practices. - Support technical client engagements, including incident resolution and deployment guidance. - Enforce secure release management and compliance with regulatory standards. - Stay current on fintech infrastructure security, compliance (e.g., SOC2, ISO 27001), and operational practices. **Required Skills:** - Proficiency in Helm, Kubernetes, Docker, Terraform, and CI/CD tools (GitHub Actions). - Linux administration, networking, and security best practices (secret management, HSMs). - Experience with compliance frameworks: SOC2, ISO 27001, CIS Kubernetes Benchmarks, IAM. - Strong problem-solving and communication skills for technical documentation and client interfacing. - Knowledge of traffic management, RBAC, gateway-level routing, and monitoring tools. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, or related field. - Certifications in DevOps, Kubernetes, Terraform, and security audit standards (e.g., SOC2, ISO 27001) preferred.
New york, United states
Hybrid
03-10-2025
Company background Company brand
Company Name
Shields Group Search
Job Title
Machine Learning Engineer
Job Description
**Job Title** Machine Learning Engineer **Role Summary** Build and maintain the core AI infrastructure for a fashion‑design platform, focusing on diffusion‑based image generation and related computer‑vision tasks. Own the end‑to‑end ML lifecycle: fine‑tuning models, deploying scalable services, and ensuring reliability, security, and performance of production systems. **Expectations** - Deliver production‑ready ML solutions that accelerate design workflows. - Own the ML stack from experimentation to high‑availability deployment. - Rapidly prototype and iterate on models in a high‑growth startup environment. - Collaborate across product, design, and engineering teams to translate research into user‑centric features. **Key Responsibilities** - Fine‑tune and implement diffusion (transformer) models for image generation and in‑painting. - Develop image classification, segmentation, and related computer‑vision models. - Design, deploy, and maintain cloud‑based inference pipelines and APIs. - Convert research prototypes into robust demos/MVPs using tools such as Streamlit or Gradio. - Manage data, experiments, and model versioning throughout the ML lifecycle. - Optimize inference latency and scalability; enforce security and high‑availability best practices. - Monitor, log, and observe ML systems; troubleshoot and improve reliability. **Required Skills** - Strong Python programming; proficiency with the ML ecosystem (data analysis, NN architectures). - Expertise in PyTorch and/or TensorFlow. - Deep experience with diffusion models for image generation and in‑painting. - Cloud deployment on AWS or GCP; familiarity with Docker, Kubernetes, and container orchestration. - Rapid prototyping with Streamlit, Gradio, or similar UI tools. - Knowledge of distributed task queues and scalable model‑serving architectures. - Experience with monitoring, logging, and observability for ML systems. - Prior work in a startup or early‑stage environment. - (Nice to have) Image recognition/segmentation models, database/streaming technologies, security best practices for ML APIs, low‑latency inference systems. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field (master’s degree or equivalent experience is preferred). - No mandatory certifications required.
New york, United states
On site
19-11-2025
Company background Company brand
Company Name
Shields Group Search
Job Title
Biomedical Engineer
Job Description
**Job Title** Chief Operating Officer / Biomedical Engineering Lead **Role Summary** Lead end‑to‑end product development, regulatory strategy, and day‑to‑day operations for a class I/II light‑based wound‑care medical device at an early‑stage medtech company. Drive prototype to commercialization, secure regulatory clearance, and build cross‑functional teams while managing budgets and investor reporting. **Expectations** - Design, prototype, and scale a clinically validated device and hydrogel system. - Secure Health Canada/FDA/CE regulatory submissions and maintain ISO 13485 QMS. - Operate as senior leader, ensuring project milestones, burn‑rate, and team accountability. - Translate technical progress into clear investor and stakeholder updates. - Forge and maintain supplier, CRO, and clinical partner relationships. **Key Responsibilities** 1. **Device Architecture & Innovation** – Define system integration (optics, electronics, light therapy), ergonomics, and packaging; oversee rapid prototyping and functional validation; plan next‑phase development (e.g., advanced hydrogel cartridges, AI diagnostics). 2. **Regulatory & Clinical Pathway** – Lead Health Canada (or FDA/CE) submissions, coordinate with consultants and CROs, translate technical data into submission‑ready packages, sustain ISO 13485/IEC 60601 compliance. 3. **Operational Leadership** – Manage day‑to‑day operations, delegate engineering and project management tasks, ensure delivery of hardware, AI/ML, and usability testing milestones. 4. **Quality & Risk Management** – Oversee bench‑validation, implement CAPA procedures, map outsourced hydrogel and regulatory outputs to device requirements. 5. **Strategic & Financial Integration** – Tie technical milestones to business outcomes, control budget, burn rate, and resource allocation; prepare KPI‑driven investor reports. 6. **Collaboration & Partnerships** – Build and sustain relationships with universities, CROs, labs, and suppliers; synchronize in‑house and outsourced deliverables. **Required Skills** - Hands‑on device design for Class I/II devices from concept to scalable manufacturing. - Deep knowledge of ISO 13485, IEC 60601, risk management, QMS documentation, and CAPA systems. - Regulatory submission experience (Health Canada, FDA, or CE). - Mechanical and electrical system integration, optics, electronics, and hydrogel compatibility. - Leadership: building, mentoring, and managing multidisciplinary teams (hardware, AI/ML, regulatory, operations). - Budgeting, burn‑rate monitoring, and investor communication. - Strong project management, stakeholder coordination, and problem‑solving skills. **Required Education & Certifications** - Bachelor’s or Master’s degree in Biomedical Engineering, Mechanical Engineering, Electrical Engineering, or related field. - Proven experience with Class I/II medical device development and regulatory clearance. - Familiarity with ISO 13485 QMS implementation and maintenance. - Certifications in regulatory affairs or quality management (e.g., Certified Regulatory Affairs Professional, Certified Quality Engineer) are preferred.
Toronto, Canada
On site
04-12-2025