• Lead and grow the Identification Accuracy team — a multidisciplinary group of ML Engineers, Data Scientists, Analysts, and Analytics Engineers — fostering psychological safety, technical excellence, and a culture of continuous improvement. • Own the team's roadmap in close partnership with senior engineering leadership and cross-functional stakeholders, driving innovative solutions to identification-specific challenges and continuously raising the bar on model quality. • Drive model accuracy outcomes by enabling your team to design, train, evaluate, and ship ML models that improve identification accuracy at scale across billions of devices. • Build bridges across the organization — partnering closely with the Identification Engineering team (who operates the API your models power) as well as Product, and customer-facing teams to translate customer needs into technical priorities. Communicate effectively across technical and non-technical audiences, translating model performance and roadmap tradeoffs into language that resonates with business stakeholders and executive leadership.

• Criar e evoluir plataformas e sistemas de dados que possam ser usados por diferentes áreas da empresa; • Garantir que os fluxos de dados sejam seguros, escaláveis e resilientes; • Liderar a equipe na construção de pipelines (caminhos automáticos) para coleta, processamento e organização de dados entre nuvem e ambientes próprios; • Integrar soluções de dados entre áreas usando ferramentas modernas; • Implementar boas práticas de monitoramento, controle de custos e segurança dos ambientes; • Disseminar padrões técnicos, revisar códigos e apoiar a automação de processos; • Ser referência técnica para o time e para outros times da empresa.

Role Description The Manager, AI-Native Software Engineering leads a team of engineers building and maintaining the platforms that power Libra Solutions’ products within an agentic delivery model. This role combines people leadership with technical oversight, and is accountable for delivering high-quality software, growing the team’s AI-native capabilities, and ensuring the team operates effectively in a pod model where AI agents are active participants in the SDLC alongside human engineers. The ideal candidate is a player-coach who manages and develops a team effectively while staying connected to the technical work. They bring strong engineering depth in the Microsoft / Azure stack, proven people leadership skills, and demonstrated experience leading teams. This role partners closely with Engineering, Product, and business stakeholders to deliver high-quality software at scale. This position reports to the Director of Engineering and can be based in any of our office locations in Denver, CO, Huntersville, NC, Rosemont, IL or Las Vegas, NV. We welcome strong remote candidates, with occasional travel to Las Vegas as needed. Qualifications - Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent professional experience - 7+ years of professional software development experience - 2+ years of people management or team leadership experience - Strong hands-on background in C# / ASP.NET Core, Entity Framework Core, SQL Server / Azure SQL, and React or Angular - Experience with Azure DevOps, CI/CD pipelines, and cloud-native deployment practices on Azure - Experience partnering closely with engineering, product, and business stakeholders in an agile delivery environment - Demonstrated ability to lead, develop, and retain a high-performing engineering team - Strong problem-solving, communication, organizational, and coaching skills - Hands-on familiarity with AI-assisted development tooling (GitHub Copilot, Claude, Azure OpenAI) and a demonstrated commitment to building AI-native engineering practices - Experience leading teams within agentic or AI-accelerated delivery models, or a clear understanding of how agentic workflows change team rhythms, role expectations, and quality ownership Requirements - Manage, mentor, and develop a team of software engineers across all experience levels - Conduct regular 1:1s, provide timely and constructive feedback, and support each engineer’s professional growth and career development - Partner with recruiting to grow the team by attracting and hiring engineers aligned with the team’s AI-native technical direction - Set clear expectations, foster accountability, and build a culture of trust, collaboration, and continuous improvement - Address performance issues constructively and proactively - Own the team’s delivery commitments; ensure features, bug fixes, and technical investments are completed on time and meet quality standards - Participate in sprint planning, backlog refinement, and prioritization discussions with Product and stakeholders - Remove blockers, manage dependencies, and ensure the team has what it needs to execute effectively - Monitor and continuously improve team velocity, predictability, and delivery health within the agentic pod model - Maintain strong technical engagement: participate in architecture discussions, code reviews, and technical planning - Ensure the team adheres to engineering standards for C# / .NET, API design, database patterns, front-end development, and CI/CD using Azure DevOps - Identify and address technical debt; champion sustainable engineering practices - Drive adoption and effective use of AI-assisted development tools across the team - Partner with other engineering leaders to define and uphold organizational AI development standards, prompt engineering practices, and AI output review requirements - Track and evaluate team-level engineering metrics to identify systemic issues and drive continuous improvement - Use data to communicate engineering health, technical decisions, tradeoffs, and statuses clearly to stakeholders and leadership - Contribute to engineering-wide initiatives including hiring practices, standards, tooling, and process improvement Benefits - Competitive compensation - Medical, dental, vision, and life insurance plans - 401k match - Paid time off

Role Description We are looking for an experienced Engineering Manager to take ownership of TuxCare's Language Security Research function — a group of four teams responsible for delivering security patches for end-of-life and non-EOL open-source language runtimes and frameworks. This is a manager-focused role within a technical delivery environment, where broad language ecosystem expertise and strong engineering leadership are both essential. You will manage four teams (~18 engineers) across Java, JavaScript/Go, Python, and PHP disciplines, setting the technical direction and operational standards for the entire function. What You Will Own - People & Teams - Lead and develop four teams (Java, JavaScript/Go, Python, PHP) totaling ~18 engineers - Build a culture of technical excellence, accountability, and continuous improvement - Define hiring plans, conduct performance reviews, and drive career development for your reports - Manage onboarding and ramp-up of new team members, projects, and libraries into the team's scope - Technical Direction - Set and enforce standards for CVE analysis, vulnerability assessment, patch backporting, and security release processes across all language ecosystems - Drive consistency in tooling and workflows across teams (CI/CD pipelines, patch delivery, release processes) - Evaluate and guide AI-assisted automation for backporting and vulnerability discovery - Serve as the final technical escalation point for complex or cross-team security issues - Delivery & Operations - Own SLA compliance across all language platforms - Align team efforts with client expectations and delivery commitments - Organise and continuously improve development workflows and engineering processes - Coordinate internal documentation and ensure it reflects the actual state of each project - Ensure smooth coordination between language teams and OS, Docker, and platform teams - Manage scope boundaries and overlap with OS and platform teams, particularly around shared dependencies and cross-ecosystem vulnerabilities Qualifications - Strong background in software development across multiple language ecosystems — at least 6 years of hands-on experience - 3+ years of engineering leadership experience (Team Lead or Engineering Manager) in a product company - Proven experience with technical delivery and accountability for team outcomes - Solid working knowledge of at least 3 of the 5 languages your teams cover: Java, JavaScript, Go, Python, PHP - Hands-on experience with security research or vulnerability analysis: CVE triage, patch backporting, or similar - Ability to work effectively in distributed teams and within larger organisational structures - Strong communication skills — capable of interfacing with stakeholders and meeting external delivery expectations - Experience building or improving engineering processes from scratch - Experience with CI/CD systems (GitLab CI, Jenkins) and dependency management tooling (Maven/Gradle, npm, pip, Go modules) - Upper-intermediate or higher English (written and spoken) Nice to have - Hands-on experience identifying and analysing vulnerabilities in language-ecosystem applications - Understanding of the security vulnerability lifecycle (CVE, CVSS, CWE, CSAF/VEX) - Background in open-source security, supply chain security, or ELS-type products - Experience integrating AI tooling into research or patching workflows - Knowledge of Docker, Kubernetes, or cloud-native ecosystems Benefits - A strong focus on professional development with opportunities for learning and growth - Interesting and challenging projects - Mentor and other knowledge-exchange programs - Fully remote work with flexible working hours, allowing you to schedule your day and work from any location worldwide - Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves to ensure you maintain a healthy work-life balance - Compensation for private medical insurance - Co-working and gym/sports reimbursement - The opportunity to receive a reward for the most innovative idea that the company can patent, fostering a culture of creativity and innovation