Garmin Cluj

Security Engineer

• Lead and develop the Cybersecurity Engineering teams across Endpoint, Perimeter, and Cloud Security: set clear goals and priorities, provide day‑to‑day technical and people leadership, coach and mentor engineers, participate in hiring, and conduct regular performance and skills assessments.
• Establish and maintain a documented training and certification plan for the team (including progression paths and succession planning), aligned with industry best practices and Garmin standards.
• Contribute to the security engineering roadmap for Endpoint, Perimeter, and Cloud Security: provide significant input to strategy, translate business and risk requirements into actionable initiatives, and manage prioritization, trade‑offs, and delivery.
• Contribute to the definition, implementation, and continuous improvement of security controls and architectures for endpoints, network/perimeter, and cloud environments (e.g., hardening standards, secure baselines, network segmentation, identity and access controls, data protection).
• Drive improvements across people, process, and technology (operating model, tooling integration, automation, documentation, and cross‑team hand‑offs).
• Define, track, and report meaningful engineering metrics and KPIs (e.g., control coverage, time to remediate, patch/coverage SLAs, vulnerability closure rates, endpoint compliance, perimeter rule hygiene) using industry and Garmin standards.
• Guide, develop, document, and periodically test operational runbooks and playbooks for handling security‑related events and issues across endpoint, network, and cloud; ensure lessons learned are captured and fed back into engineering improvements.
• Ensure that Cloud Security, Perimeter Security, and Endpoint Security requirements are consistently met or exceeded in all supported environments and projects.
• Support risk assessments and technical security reviews by contributing expertise on endpoint, perimeter, and cloud security domains.
• Foster a strong security culture by promoting best practices, awareness, and shared accountability across engineering and IT teams.
• Implements strategies and solutions based on a broad understanding of Garmin's business model.

Team Leader – Cybersecurity Engineering

Data Engineer

• Provide technical input to feature development plans and concept documents.
• Configure and administer data servers and Hadoop components.
• Develop scalable, extensible solution architectures leveraging contemporary big-data technologies in an evolving operational framework.
• Analyze existing data structures and recommend improvements.
• Partner with team lead to identify technical requirements and alternatives to accomplish projects, lead major incident troubleshooting involving multiple disciplines and develop reliable solutions to complex problems which require ingenuity and creativity.
• Participate in design, code, test, maintenance, enhance and decommission phases throughout software life cycle to contribute technical expertise and to identify issues.
• Participate in and help guide research POCs, including design, coding, and performance and efficacy measurement.
• Provide significant contributions to defining team roadmap and priorities, facilitate team discussions and plans, and offer innovative suggestions within area of discipline.
• Research new technologies, propose cost effective solutions and contribute input to broader technology solutions outside of discipline.

Data Scientist

• Lead the design, development, and deployment of advanced machine learning models and algorithms to solve complex business problems.
• Provide technical leadership and mentorship to junior data scientists, fostering a culture of continuous learning and improvement.
• Drive the strategic planning and execution of data science projects, ensuring alignment with business goals and timelines.
• Collaborate with cross-functional teams, including engineering, product management and business stakeholders, to define project requirements and deliver data-driven solutions.
• Conduct advanced exploratory data analysis (EDA) to uncover insights, trends, and patterns in large and complex datasets.
• Develop and implement scalable data pipelines and workflows to support the end-to-end data science lifecycle.
• Evaluate and integrate new data science techniques, tools, and technologies to enhance the company’s data capabilities.
• Communicate complex analytical concepts and results to non-technical stakeholders through clear and compelling data visualizations and presentations.
• Ensure the robustness, scalability, and performance of deployed models, monitoring their impact and iterating as necessary.
• Champion best practices in data science, including data governance, model validation, and ethical AI considerations.
• Identify and prioritize opportunities for leveraging data to drive business growth and operational efficiency.
• Lead the development of custom machine learning models and algorithms tailored to specific business needs.
• Own team-level success by monitoring, modifying and creating team processes to help ensure consistency, continuity, efficiency and impact in analysis and ML pipelines.
• Pioneer peer reviews and foster a culture of continuous improvement and learning.
• Develop and enforce data governance policies and procedures to ensure data integrity and security.
• Monitor compliance with data privacy laws and regulations and implement measures to protect sensitive information.

iOS Engineer

• - Create and execute designs for software components within a larger project;
• - Mentor and provide guidance to less experienced Software Engineers;
• - Collaborate and add value through participation in peer code reviews, providing comments and suggestions;
• - Estimate level of effort, evaluate new options of similar technology, offer suggestions to improve processes;
• - Perform technical root cause analysis and outlines corrective action for given problems.

iOS Software Engineer

Business Analyst

• Gather, document and communicate user requirements for medium to large size projects of average to significant complexity.
• Work closely with the project team, including product owner to ensure requirements are understood and deliverables are aligned with project objectives.
• Lead stakeholder management discussion to ensure alignment, get buy-in or consensus.
• Drive collaboration with other teams and departments.

Business Analyst – Subscriptions Team

Full-stack Engineer

• Lead and mentor your development team, ensuring they are motivated and equipped to succeed.
• Take ownership and responsibility for the applications owned by the team.
• Oversee software development lifecycle, evaluating workload, adjusting schedules and priorities to make sure projects are delivered on time.
• Drive, coordinate, supervise and facilitate the work processes of our team while being involved hands on in the day-to-day project delivery.
• Active leading the solution creation, effort estimation, development, and project implementation.
• Align the team and individual goals with the ones of the organization.
• Create, maintain, offer and improve needed resources in order to increase performance of the team members.
• Track KPIs for your team and drive continuous process improvement.
• Collaborate with cross-functional teams, including product management and design, to align development activities.
• Ensure efficient communication between teams.
• Support team members, peers, and other Garmin associates by actively seeking feedback, building networks, sharing successes, tools and knowledge.

Team Leader – Cybersecurity Engineering

Data Engineer

Data Scientist

iOS Software Engineer

Business Analyst – Subscriptions Team

Team Leader, Software Engineering