Job Oppourtunities at Solutech Limited

Job Description

• Implement and manage security controls and monitoring systems, ensuring compliance with data protection rules.
• Lead security audits and assessments, including data protection impact assessments (DPIAs)
• Lead DevSecOps responsibilities, including integrating security into the development pipeline, automating security testing, and ensuring secure coding practices
• Lead or support response to security incidents and breaches, including data breaches, and prepare comprehensive reports.
• Plan, set up, and implement the security infrastructure for the Company, ensuring compliance with data protection laws.
• Provide advice and recommendations to the Company regarding data protection rules
• Maintain up-to-date and relevant data and security policies in line with various security and data protection laws
• Perform vulnerability assessments on applications and cloud infrastructure, and collaborate with the engineering team to resolve issues
• Conduct investigations in situations where data breach occurs or is detected, and prepare comprehensive reports
• Prepare material and train staff on security and data protection practices
• Collaborate with development, and QA teams to prioritize security tasks and ensure security best practices are followed throughout the development lifecycle

Requirements

• Bachelor's degree in Computer Science, Information Security, or related field
• 3-5 Years experience in Cyber Security or related field
• Certifications such as CompTIA Security+, eCPPT, eJPT, PNPT, GIAC, S-DPP or any related certifications are a plus
• Knowledge of various security frameworks
• In-depth understanding of data protection regulations
• Ability to interpret and apply regulatory requirements to the organization’s data processing activities
• Proficiency in secure coding practices and software development life cycle
• Familiarity with security tools and relevant software

Benefits

• At Solutech, we understand the importance of maintaining a healthy work-life balance for our team. We believe that a harmonious integration of personal and professional lives leads to enhanced well-being, increased productivity, and overall satisfaction. To support our employees in achieving this balance, we are committed to providing the following perks:
• Generous Paid Time Off (21 Days Annual Paid Leave and Paid Sick Leave)
• Parental leave / maternity / paternity
• Health Insurance for You + Your Family
• Free Meals on Fridays
• Generous In Office Beverages
• Free Gym On Site
• Technology and Resources (Company Phone, Laptop and Educational Resources)
• Recognition and Appreciation (Including Annual Bonus Program)
• Social and Community Engagement (Social Impact through CSR)
• ​ESOP (In Development)

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About the job

• Collaborate with cross-functional teams to understand business needs and identify data analytics opportunities. 
• Analyze large, complex datasets to identify trends, patterns, and insights and present them to stakeholders in a clear and understandable manner 
• Develop and implement machine learning algorithms and statistical models to improve our processes or product functionality 
• Collect, clean, and preprocess large datasets from diverse sources 
• Create visualizations using state of the art visualization tools. 
• Assist in the integration of data analytics findings into operational processes and strategic planning. 
• Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions. 
• Stay up-to-date with advances in data science and technology and suggest improvements we can make in our processes and offerings. 
• Any data related task that may be required of you from time to time. This may include data engineering tasks or creation of APIs to facilitate consumption of data 

Requirements

• 3-5 years of experience in building data driven solutions with a bias towards machine learning.2. 2+ years experience with python 
• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. 
• Proficiency in data analytics and machine learning tools (e.g., Python, R, SQL, TensorFlow, PyTorch). 
• Experience with cloud computing platforms (e.g., AWS, Google Cloud) and their data analytics services. 
• Strong understanding of data preprocessing, exploratory data analysis, and predictive modeling techniques. 
• Familiarity with big data technologies (e.g., BigQuery, Spark, Power BI) is an advantage.