Your Security. Your Rules.

Type : Full-Time

Number of Requirements : 01

Experience Range : 3–5 Years in one or more of: Infrastructure Engineering, DevOps / Platform Engineering, Systems Engineering, or Site Reliability Engineering (SRE)

Key Responsibilities :

• Manage and maintain virtualization infrastructure
• Operate internal technology platforms and services
• Maintain secure networking and remote access infrastructure
• Implement monitoring, alerting, and backup systems
• Improve infrastructure documentation and operational processes
• Lead and mentor junior IT / infrastructure engineers

Compliance & Governance :

• Support and maintain organizational compliance requirements related to IT and cybersecurity
• Ensure infrastructure and systems align with defined security and compliance standards
• Assist in audits by providing required technical evidence and documentation
• Maintain proper access controls, logging, and system configurations as per compliance needs
• Continuously improve infrastructure practices to align with evolving compliance requirements

Required Skills :

Candidates should have experience with:

• Linux system administration
• Virtualization platforms (Proxmox / VMware / KVM)
• Networking fundamentals
• VPN technologies
• Infrastructure monitoring
• Backup systems
• Infrastructure documentation

Preferred Experience :

Exposure to any of the following is beneficial:

• Developer platforms (GitLab Premium/Ultimate)
• Identity and access management systems
• Containerization technologies
• Infrastructure automation
• Storage systems

Ideal Candidate :

• Hands-on with infrastructure technologies — proprietary as well as open source
• Experience managing production environments
• Values documentation and structured operations
• Comfortable working in a fast-growing technical organization
• Experience with compliance frameworks (ISO 27001, ISO 9001, STQC, SOC2, etc.) is a plus

Important Note : This role focuses on infrastructure engineering and platform operations, and is not a helpdesk or desktop support role.

How to Apply :

• Email your CV + short intro to career@secninjaz.com
• Subject : "Application - Infrastructure & Platform Lead - Your Name"

Apply Now

Type : Full-Time

Number of Requirements : 01

Job Description :

We are looking for an experienced and hands-on Principal Solutions Architect who has successfully delivered real-world systems across system design, architecture, and product engineering domains. This role requires deep technical expertise combined with strong product thinking and the ability to translate business needs into scalable, secure, and resilient architectures. The ideal candidate has architected and delivered complex systems in production environments and can lead architecture decisions across multiple projects.

Key Responsibilities :

System Architecture & Design

• Design scalable, distributed, high-availability systems
• Define end-to-end architecture for products and solutions
• Create architecture diagrams, design documents, and technical blueprints
• Evaluate and select appropriate technologies and frameworks
• Define integration strategies across services and third-party systems

Product Architecture

• Work closely with product and business teams to translate requirements into scalable technical designs
• Ensure non-functional requirements (performance, security, scalability, reliability) are built-in from day one
• Participate in roadmap planning from a technical feasibility perspective
• Drive architectural decisions aligned with long-term product strategy

Technical Leadership

• Review and validate system designs created by engineering teams
• Establish architectural standards, best practices, and design guidelines
• Mentor senior engineers and technical leads
• Conduct architecture reviews and risk assessments

Solution Engineering

• Design tailored solutions for enterprise customers
• Support pre-sales by validating feasibility and estimating effort
• Present architecture to stakeholders and leadership teams

Governance & Quality

• Define DevOps, CI/CD, security, and reliability standards
• Drive observability and monitoring strategy
• Ensure compliance with security and industry best practices

Required Skills & Experience :

• 10+ years in software engineering
• 5+ years in architecture/system design roles
• Proven track record of delivering large-scale production systems
• Strong expertise in distributed systems and microservices
• Experience with API design and system integration
• Hands-on experience with cloud platforms (AWS / Azure / GCP)
• Strong understanding of CI/CD and DevOps practices
• Experience with SQL and NoSQL databases
• Knowledge of security and performance optimization
• Experience with event-driven architectures (Kafka, queues)
• Experience with containerization (Docker, Kubernetes)

Preferred Experience :

• Experience designing enterprise-grade solutions
• Experience leading multi-team architecture initiatives
• Experience working in high-scale environments
• Strong documentation and technical communication skills

Ideal Candidate :

• Strong problem-solving and systems thinking mindset
• Ability to balance pragmatism with ideal architecture
• Excellent communication skills
• Comfortable challenging assumptions
• Business-aware and outcome-oriented

How to Apply :

• Email your CV + short intro to career@secninjaz.com
• Subject : "Application - Principal Solutions Architect - Your Name"

Apply Now

Type : Full-Time

Job Description :

The Technical Project Lead – AI Development will lead and manage the entire AI division while ensuring successful execution of AI initiatives. This role requires strong technical expertise, strategic thinking, project management excellence, and proven leadership capability. The selected candidate will be responsible for complete ownership of AI strategy, team management, model development, training, deployment, governance, and delivery execution. The candidate must have successfully executed at least five (5) AI/ML projects end-to-end in production environments.

Mandatory Experience Requirements :

• Minimum 8+ years of total experience in Artificial Intelligence / Machine Learning
• Minimum 3+ years in a leadership or project management role
• Successfully executed at least 5 AI/ML projects from concept to production
• Experience managing cross-functional AI teams
• Proven experience delivering enterprise-grade AI systems
• Strong background in model training, deployment, and monitoring

Key Responsibilities :

AI Team Leadership & Management

• Lead, manage, and scale the entire AI/ML department
• Hire, train, and mentor AI engineers, data scientists, and ML engineers
• Define technical standards, development processes, and KPIs
• Conduct architecture reviews and performance evaluations
• Build internal AI training and capability development programs
• Ensure timely delivery of all AI initiatives

End-to-End AI Project Execution

• Requirement gathering and business analysis
• Data strategy and collection
• Model architecture design
• Model training and hyperparameter tuning
• Validation and testing
• Production deployment
• Monitoring and optimization

AI Model Development & Training

• Design and develop Deep Learning models (CNN, RNN, Transformers)
• Develop NLP and Large Language Models (LLMs)
• Build Generative AI applications
• Create predictive analytics systems
• Develop anomaly and threat detection systems
• Handle large-scale datasets and distributed training
• Optimize model accuracy, scalability, and efficiency
• Implement retraining pipelines and performance improvement cycles

MLOps & Production Deployment

• Design and manage CI/CD pipelines for ML systems
• Deploy models using Docker and Kubernetes
• Implement model versioning and lifecycle management
• Monitor model drift and implement automated retraining
• Ensure high availability, scalability, and performance

AI Security & Compliance

• Implement secure AI architecture aligned with Zero Trust principles
• Protect AI systems against adversarial attacks
• Ensure compliance with ISO 27001 and data protection standards
• Integrate AI systems with SIEM, SOC, and cybersecurity platforms

Required Skills :

• Strong expertise in Python
• TensorFlow / PyTorch
• Scikit-learn
• NLP, LLMs, Generative AI
• MLOps tools (MLflow, Kubeflow, Airflow)
• Docker & Kubernetes
• Cloud platforms (AWS, Azure, GCP)
• Experience with large-scale data processing

Leadership Competencies :

• Strategic AI roadmap planning
• Strong team-building and mentoring capability
• Decision-making and execution excellence
• Strong problem-solving skills
• Excellent communication and stakeholder management

How to Apply :

• Email your CV + short intro to career@secninjaz.com
• Subject : "Application - Technical Project Lead – AI Development - Your Name"

Apply Now