MoxieIT Digital Private Ltd

Compensation

Full Description

Qualifications: Education: Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree or relevant certifications (e.g., AWS Certified Solutions Architect, TOGAF, CISSP) preferred. Experience: 5+ years of experience as a Solutions Architect, Systems Engineer, or similar role. Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their application in secure, high-availability environments. Technical Skills: Proficiency in software architecture design, including microservices, APIs, and database management (e.g., SQL, NoSQL). Knowledge of cybersecurity principles, encryption, and secure data storage for sensitive forensic data. Experience with programming languages (e.g., Python, Java, C#) and integration tools (e.g., REST, SOAP, middleware). Soft Skills: Exceptional communication skills to bridge technical and non-technical stakeholders, including forensic scientists and law enforcement personnel. Strong analytical and problem-solving abilities to address complex challenges in forensic workflows. Ability to work independently and collaboratively in a fast-paced, mission-critical environment. Preferred Qualifications, Experience, and Domain Knowledge 2 years of experience in forensic science, criminal justice, or a related field. Proven experience designing and implementing complex systems, such as LIMS, digital forensics tools, or evidence management platforms. Demonstrated experience applying hybrid project management methodologies (Waterfall, Agile, or Scrum) Familiarity with forensic science technologies, such as LIMS, ADAMS, CrimePad, QualTrax, and testing equipment software. Experience with AI/ML applications in forensic science (e.g., pattern recognition, predictive analytics). Background in cybersecurity or blockchain for secure evidence tracking. Prior work with government or law enforcement agencies on forensic technology projects. Understanding of forensic science processes, including evidence collection, chain of custody, and laboratory workflows. Familiarity with forensic standards and regulations (e.g., ISO 17025/17020, ANAB, OSAC, SWGDAM, NIST). Knowledge of legal and ethical considerations in forensic data handling.