Role Description We are hiring a Senior Platform Engineer to lead security tooling and enablement within Platform Engineering for our global SaaS environment. This role focuses on building the platforms, automation, and guardrails that help engineering teams adopt security requirements in practical, scalable ways across the software development lifecycle. You will work at the intersection of Security, Platform Engineering, and development teams. In our model, the Security team defines policies, standards, and best practices, and Platform Engineering enables and enforces them through engineering solutions. This is a senior individual contributor role for an engineer who can lead proofs of concept, drive initiatives with limited guidance, and turn complex problems into clear, executable solutions. What you will do: - Lead security tooling across application security, dependency and supply chain security, artifact and container security, cloud security posture, and policy-driven workflows. - Build, integrate, and operate tools such as GitHub Advanced Security, JFrog Xray, Prisma, Black Duck, Checkmarx, and similar platforms. - Design automation for vulnerability detection, dependency hygiene, patch planning, remediation tracking, and governed security workflows. - Partner with Security and Engineering to turn defined policies and best practices into practical controls, delivery pipeline guardrails, and developer-friendly workflows. - Improve the developer experience of security tooling by reducing noise, improving remediation clarity, and helping teams move faster without weakening security controls. - Drive security-focused initiatives and OKR efforts by defining technical approaches, breaking down work, and leading execution. - Support the ongoing health and improvement of security tooling, including internally built or AI-assisted security automation where appropriate. - Work with operational teams to support secure adoption of AI-enabled engineering tools and build controls around their use where needed. Qualifications - 5+ years of experience in security engineering, platform engineering, development operations, site reliability engineering, or software engineering in production environments. - Strong programming or scripting skills in Go, Python, Bash, or similar languages. - Hands-on experience with security tooling and practices across areas such as code scanning, dynamic testing, software composition analysis, secret scanning, container or image scanning, artifact security, cloud security posture management, and policy enforcement. - Experience with or exposure to tools such as GitHub Advanced Security, JFrog Xray, Prisma, Black Duck, Checkmarx, Dependabot, Renovate, or similar security and dependency management platforms. - Strong understanding of vulnerability management, dependency management, and security controls within software delivery and developer workflows. - Familiarity with Kubernetes, containers, cloud platforms, Git-based workflows, and infrastructure as code concepts. - Ability to lead technical initiatives, run proofs of concept, and deliver solutions from ambiguous requirements. - Strong collaboration and communication skills, with the ability to translate security needs into practical engineering solutions. Requirements - Experience using AI-assisted tools to improve engineering productivity, security workflows, and developer experience. - Familiarity with AI-assisted coding tools such as GitHub Copilot or Cursor for work such as code review, documentation, and test generation. - Experience applying AI to security use cases such as log analysis, threat investigation, remediation support, or security documentation. - Familiarity with large language model APIs, agent-based workflows, or internally built AI tooling, along with the ability to evaluate and enable these tools responsibly within engineering environments. - Understanding of security considerations for AI tools, including data leakage, prompt injection, shadow AI, and compliance with enterprise AI policies. Preferred Skills - Exposure to compliance-driven environments such as SOC 2 or similar frameworks. - Experience supporting AI-assisted or internally built security automation. - Familiarity with modern software delivery environments where security tooling must balance risk reduction with engineering velocity.

Role Description As a Senior Platform Engineer within our Tech team, you will own the infrastructure that brings our AI and ML products to life. Reporting to the Platform and Infrastructure Lead, you will work at the intersection of software engineering and operations: deploying applications and pipelines, managing our machine learning infrastructure, and solving complex technical challenges at scale. At Senior level, you work largely independently, lead projects end to end, and help elevate the rest of the team. Your work has a direct impact on the reliability, performance, and scalability of Idoven’s Health SaaS platform. What You’ll Do - Design, build, and maintain infrastructure for production applications with attention to performance, cost, and reliability - Collaborate with the Platform and Infrastructure Lead and the Tech team to bring ML models into production - Define and manage technical solutions for product development projects, taking ownership from design to delivery - Identify and resolve issues proactively, seeking full automation wherever possible - Contribute to Agile processes, documentation, and team-wide engineering practices - Participate in recruitment interviews and help build a diverse, high-performing team - Communicate technical concepts clearly to both technical and non-technical audiences, including through presentations and documentation - Improve and evolve platform observability to provide deep, end-to-end visibility into system behavior, performance, and reliability Qualifications - 5+ years of platform engineering experience - Solid understanding of IaC concepts and tooling, Terraform experience is a plus - Deep familiarity with containerization concepts and architecture, preferably with Docker and Kubernetes - Proven experience with CI/CD workflows and building scalable services - Hands-on experience with public cloud technologies, preferably GCP (AWS experience is also valuable) - Comfortable working in Linux environments - Familiarity with modern software development environments; Python experience preferred - Strong analytical mindset and creative problem-solving approach - Clear written and verbal communication in English and Spanish - Prior experience with ML application development or MLOps is a strong advantage Benefits - 🚀 Be part of one of the most disruptive startups in HealthTech and AI and make a difference - 🏆 Personal and professional growth as part of a fast-growing, international team - 🎧 No corners cut in having the best tech equipment to do your job - 🙋 Unlimited remote working environment, where you can choose to work from home and attend our Madrid office whenever you want to - 📚 Learning and development opportunities and training budget - 💸 Flexible Remuneration - 👩🏻‍⚕️ Health Insurance covered by IDOVEN - 🏋 Access to Wellhub (Gympass), empowering your physical and mental wellness! - 🖥️ Remote Work Allowance for your home office setup! - 🌴 23 holidays, your birthday off, and December 24th and 31st half days to celebrate! - 😎 Regular team events and Thursday happy hours - And much more! Diversity & Inclusion At Idoven, we believe diverse teams build better products. We are an equal opportunity employer and welcome applicants from all backgrounds, regardless of race, gender identity, age, religion, sexual orientation, or disability.

• Administer and manage Azure SQL Managed Instance and Azure SQL databases in production environments • Perform database performance tuning, including indexing strategies, query plan analysis, and workload optimization • Diagnose and resolve locking, blocking, and concurrency issues • Implement and manage database security, user access, and role-based permissions • Ensure robust backup, recovery, and high availability practices • Design, build, and maintain ADF pipelines for batch and incremental data loading • Administer ADF environments, including monitoring, scheduling, and failure handling • Troubleshoot pipeline failures, integration issues, and performance bottlenecks • Take end-to-end ownership of data loading processes, from ingestion through validation • Lead efforts to stabilize, standardize, and improve existing pipelines • Develop and maintain automation using Python and/or PowerShell

Role Description Join us to do the best work of your career, solving meaningful problems with remarkable teams. This is an independent contractor engagement in Argentina. Deel will serve as Contractor of Record and will contract with and pay the independent contractor. The independent contractor will provide services to Greenhouse on a non-exclusive basis, may provide services to other clients, and will be responsible for determining the manner and means of performing the services, subject to the applicable statement of work and agreed deliverables. This engagement is not an employment relationship with Greenhouse. No employment relationship, social benefits, or labor entitlements under Argentine Law 20,744 are created by this engagement. Through this arrangement, Deel is hiring an independent contractor to provide services to the Enterprise Apps team at Greenhouse. EA's charter is to take toil off every other team in the company so they can focus on the work only they can do. In 2026, we're using that charter to build something more ambitious: an AI-native operating layer for Greenhouse, with internal tooling, agents, skills, and automations that any team can build on, deploy to, and run against Greenhouse's data and tools. We're early enough in the work that the team will help shape what the platform actually becomes. This is the role for the engineer who will provide services related to EA's platform end-to-end. Two things sit on your plate: - The surface that lets people across Greenhouse, including engineers and over time non-engineers, build, deploy, and run their own agents and automations. - Whatever infrastructure EA needs to ship reliably (services, runtime, deployment, observability) and EA's AWS footprint underneath it. This role will support the development and maintenance of the Company’s web-based applications as part of an approximately 12-month engagement. In this role, you will focus on high-quality feature execution and technical reliability across the application stack for the Company. This is a collaborative, execution-focused, non-exclusive engagement. Services will include design, development, and delivery of platform infrastructure as scoped with the EA team. Qualifications - 5+ years of production engineering experience, including substantial work on a platform, SDK, framework, or developer-experience product that other engineers built on. - Strong Python and TypeScript. Comfortable designing APIs that strangers will read first and ask questions about second. - Hands-on experience operating production services on AWS and/or GCP, including compute, networking, IAM, secrets, and deployment automation/Terraform. - Strong instincts for evaluation and observability of non-deterministic systems. - Solid PostgreSQL and data-modeling skills. - A track record of working closely with users (engineers and non-engineers) and shaping the product based on what they actually do. - Production security fundamentals: secrets management, OAuth/OIDC, least-privilege, dependency hygiene. Requirements - Help build the platform that lets people across Greenhouse build, deploy, and run their own agents and automations against Greenhouse's data and tools. - Stand up whatever infrastructure EA's application engineers need to ship reliably, including services, runtime, deployment, scheduling, and observability. - Provide services related to EA's AWS footprint end-to-end, including networking, IAM, secrets, security posture, and deployment automation. - Build the evaluation and observability practices that let us trust AI in front of real workflows. - Think holistically about EA's role across the business; spot the platform investments that pay off across multiple teams, not just one. - Partner with EA's application engineers so the platform actually fits the workflows they're shipping. - At Greenhouse's request, provide availability during agreed windows for production support activities. Benefits - Remote-first company with shared office spaces in New York City and Ireland. - Performance review program committed to providing actionable feedback. - Bonus structure that rewards great performance. - Commitment to designing and responsibly using AI tools. - Inclusive culture that nurtures leaders and invests in employee resource groups.