Cyber Security Platform Engineer

Galway
2 weeks ago
Create job alert

Galway based - must be commutable hybrid working

Senior & Mid Level roles available

€65k - €75k base + up to 20% bonus + health + pension

Your Expertise

Hands-on experience with automation and CI/CD pipeline implementation (including testing, continuous integration, and continuous delivery).

Exposure to application security practices such as penetration testing, Static Composition Analysis (SCA), Static Application Security Testing (SAST), and Dynamic Application Security Testing (DAST) is highly desirable.

Understanding of API security concepts, frameworks (REST, SOAP, GraphQL, gRPC), and authentication/authorization protocols (OAuth2, OIDC, JWT, etc.).

Familiarity with secure coding best practices and key security frameworks such as OWASP Top 10 and OWASP API Security Top 10.

Experience working in cloud environments (AWS certification is a plus).

Knowledge of data processes such as ETL, ELT, Data Modeling, and experience with BI tools (e.g., Power BI, Tableau) and relational databases (e.g., Oracle) is an advantage.

Your Skills & Strengths

Strong grasp of engineering principles, patterns, and best practices.

Experience with modern agile engineering methodologies, emphasizing operational excellence.

Ability to collaborate effectively with cross-functional teams and external vendors to achieve successful outcomes.

Excellent communication and interpersonal skills.

Strong analytical mindset with the ability to navigate complex or ambiguous challenges, making sound decisions based on facts, experience, and judgment.

Passion for continuous learning and a willingness to mentor, support, and guide team members.

What You’ll Deliver

Design, develop, implement, and maintain SAST, SCA, and secret scanning tools within the CI/CD pipeline and developer workflows.

Assess and integrate open-source or vendor technologies to help developers identify and eliminate security vulnerabilities.

Drive engineering excellence by enhancing automation, expanding test coverage, improving release cycles, and ensuring production stability.

Solve real-world challenges, delivering solutions that have a tangible impact.

Document configurations, processes, and best practices to facilitate knowledge sharing across the organization.

Engage in meaningful technical discussions, bringing both expertise and collaboration to an autonomous team that owns all aspects of development, security, and operations (DevSecOps).

Build strong relationships with key stakeholders, fostering trust and alignment to ensure successful solution delivery.

Stamp 4 visa or EU/UK passport are essential to be considered for this role, along with living within 1hour to Galway. 

If you have the right technical experience along with this criteria, please click APPLY to be immediately considered

Related Jobs

View all jobs

Data Architect

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Cyber Services Advisor

Senior Data Scientist

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.