SoTalent

23 Jobs

6 Employees

About the Company

At SoTechTalent, we specialise in connecting forward-thinking tech companies with world-class talent. With deep expertise in SaaS, AI, Cybersecurity, Data and Fintech, we provide bespoke hiring and recruitment solutions tailored to help your business thrive. Whether you're scaling a startup or building a powerhouse team, we're here to make finding exceptional talent effortless and impactiful.

Listed Jobs

Company Name: SoTalent
Job Title: Software Development Engineer
Job Description: Job title: Software Development Engineer Role Summary: Design, develop, and maintain secure, automated, and scalable security solutions on Google Cloud, focusing on SIEM/SOAR platforms, log ingestion, and AI/ML integration to enhance threat detection and response capabilities. Expectations: - Deliver end‑to‑end security orchestration and automation features using the Google SecOps stack. - Engineer robust log ingestion pipelines that parse, normalize, and enrich data for SIEM analysis. - Build, test, and optimize detection rules, analytics, and correlation searches in partnership with SOC analysts. - Create automation playbooks and workflows to reduce response times and improve security operations efficiency. - Integrate advanced AI/ML tools (e.g., Google Gemini) into security processes for next‑generation automation. - Produce detailed technical documentation and performance reports validating security automation initiatives. - Collaborate with cross‑functional teams to enforce best practices and solve complex security challenges. Key Responsibilities: - Develop and maintain SIEM/SOAR solutions on Google Cloud. - Build and enhance log ingestion pipelines for accurate data processing. - Design and fine‑tune detection rules, analytics, and correlation searches. - Create automation playbooks and workflows for incident response. - Integrate AI/ML capabilities into security operations. - Document technical designs, performance metrics, and impact assessments. - Coordinate with SOC analysts, engineers, and product teams to drive security improvements. Required Skills: - 5–8 years of cybersecurity engineering experience, specifically SIEM/SOAR development. - Strong knowledge of Google Cloud Platform and cloud security implementations. - Proficiency in Python for scripting, automation, and API integrations. - Ability to analyze security event data, troubleshoot issues, and optimize detection logic. - Experience in dynamic, fast‑paced, cross‑functional environments. - Exposure to AI/ML frameworks and enthusiasm for applying them in cybersecurity. - Excellent communication, collaboration, and analytical skills. Required Education & Certifications: - Bachelor’s degree in Computer Science, Information Security, or a related field. - Preferred certifications: Google Professional Cloud Security Engineer, CISSP.

Austin, United states

Hybrid

Mid level

03-11-2025

Company Name: SoTalent
Job Title: Cyber Security Engineer
Job Description: Job Title: Cyber Security Engineer Role Summary: Design, implement, and operationalize security controls across GCP cloud environments, driving automation and policy-as-code within IaC and CI/CD pipelines to enhance cloud security posture at scale. Expectations: - Deliver robust security solutions that align with business and technical objectives. - Communicate risks and requirements effectively to engineering, DevOps, and business stakeholders. - Continuously improve tooling, monitoring, and automation to support secure cloud operations. Key Responsibilities: - Implement and fortify security controls across GCP cloud environments. - Build and mature cloud security tooling, automation, and monitoring solutions. - Partner with engineering and IT teams to design scalable, secure cloud architectures. - Recommend and integrate modern security technologies and best practices. - Drive policy‑as‑code and security‑as‑automation within IaC and CI/CD pipelines. - Enhance cloud security operations through scripting, automation, and APIs. - Communicate security risks and requirements to both technical and business teams. Required Skills: - 1–5 years of hands‑on experience securing GCP environments. - Proficiency with cloud security platforms such as Wiz, Prisma, Orca, Zscaler. - Practical knowledge of IaC tools (Terraform, Pulumi, Ansible, Bicep, etc.). - Experience in DevSecOps or CI/CD environments (GitLab, GitHub, Bitbucket). - Strong understanding of cloud security concepts and secure architecture design. Required Education & Certifications: - Bachelor’s degree in Computer Science, Information Security, or related field preferred. - Security certifications (CISSP, CCSP, CCSK, or equivalent cloud security credentials) highly regarded.

Omaha, United states

Hybrid

04-11-2025

Company Name: SoTalent
Job Title: Machine Learning Engineer (Python) / Ingénieur Machine Learning Python
Job Description: Job Title: Machine Learning Engineer (Python) Role Summary: Design, develop, optimize, and deploy computer‑vision machine learning models for medical technology products, ensuring seamless integration, rigorous testing, and high‑quality documentation. Expectations: Deliver production‑ready models that meet client validation standards, collaborate cross‑functionally, maintain code quality, participate in agile ceremonies, and communicate progress clearly. Key Responsibilities • Develop and fine‑tune deep learning models using TensorFlow or PyTorch for computer‑vision tasks. • Integrate ML solutions into enterprise software pipelines and APIs. • Collaborate with software, systems, and QA engineers to validate model performance in production. • Conduct formal testing, client validation, and iterative improvement. • Produce technical documentation and maintain model versioning and reproducibility. Required Skills • Python programming at an advanced level (NumPy, Pandas, sklearn). • Deep‑learning stack experience (TensorFlow, PyTorch). • Knowledge of computer‑vision techniques (CNNs, object detection, segmentation). • Familiarity with model deployment, containerisation (Docker), and CI/CD pipelines. • Experience with software testing, validation, and quality assurance processes. • Professional English communication skills. Required Education & Certifications • Master’s degree (Bac+5) in Computer Science, Artificial Intelligence, or related field. • Minimum 5 years of professional experience in machine‑learning and computer‑vision engineering.

Company Name: SoTalent
Job Title: Head of CRM
Job Description: **Job Title:** Head of CRM **Role Summary:** Strategic leader responsible for designing, implementing, and operating an omnichannel CRM strategy on Salesforce (Sales Cloud & Marketing Cloud). Leverages AI-driven marketing tools to enhance personalization, automation, and performance while ensuring data governance and regulatory compliance. Reports to the CMO and oversees a cross‑functional team and external vendors. **Expectations:** - Define and execute a unified CRM vision aligned with business objectives. - Deliver measurable improvements in customer conversion, engagement, churn reduction, and NPS. - Maintain high data quality and GDPR compliance across all CRM activities. - Provide strong leadership, fostering collaboration among marketing, sales, tech, and data teams. **Key Responsibilities:** - Develop and communicate the omnichannel CRM strategy (Sales Cloud + Marketing Cloud). - Design, build, and optimize automated customer journeys (email, SMS, WhatsApp, push, call). - Own the Salesforce roadmap: architecture, integrations, data governance, and AI feature adoption (Einstein, GPT). - Create and maintain CRM performance dashboards; define KPIs, SLAs, and service standards. - Institutionalize A/B testing frameworks and predictive scoring models. - Lead a team of 4‑5 CRM, data, and commercial‑animation professionals. - Coordinate campaign execution with marketing, sales, and content teams. - Manage CRM/MarTech vendors and integration partners. - Act as the internal champion for CRM and AI best practices. **Required Skills:** - Deep expertise in Salesforce Sales Cloud and Marketing Cloud (implementation, automation, integration, reporting). - Proven experience with AI/ML marketing tools (predictive segmentation, scoring, ChatGPT/Einstien integration). - Strong analytical ability to build dashboards, interpret metrics, and drive data‑based decisions. - Excellent leadership and people‑management skills. - Project management and roadmap planning competence. - Knowledge of GDPR and data‑privacy regulations. - Effective communication and stakeholder‑management across marketing, sales, and technology functions. **Required Education & Certifications:** - Master’s degree (or equivalent) in Digital Marketing, Data Science, Engineering, or related field. - 8–12 years of large‑scale CRM experience (≥1 M contacts), with at least 5 years on Salesforce. - Relevant Salesforce certifications (e.g., Salesforce Administrator, Marketing Cloud Consultant, Einstein Analytics) preferred.

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