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Job Title : Senior System Administrator

Experience : 7 to 12 Years

Location : Bangalore (Whitefield/Domlur) or Coimbatore

Work Mode :

• First 3 Months : Work From Office (5 Days)
• Post-Probation : Hybrid (3 Days WFO)
• Shift : Rotational (Day & Night)
• Notice Period : Immediate to 30 Days
• Salary : Up to ₹24 LPA (including 8% variable), slightly negotiable



Role Overview :

Seeking a Senior System Administrator with strong experience in server administration, virtualization, automation, and hybrid infrastructure. The role involves managing Windows environments, scripting, cloud/on-prem operations, and ensuring 24x7 system availability.

Mandatory Skills :

Windows Server, Virtualization (Citrix/VMware/Nutanix/Hyper-V), Office 365, Intune, PowerShell, Terraform/Ansible, CI/CD, Hybrid Cloud (Azure), Monitoring, Backup, NOC, DCO.

Key Responsibilities :

• Manage physical/virtual Windows servers and core services (AD, DNS, DHCP).
• Automate infrastructure using Terraform/Ansible.
• Administer Office 365, Intune, and ensure compliance.
• Support hybrid on-prem + Azure environments.
• Handle monitoring, backups, disaster recovery, and incident response.
• Collaborate on DevOps pipelines and write automation scripts (PowerShell).

Nice to Have :

MCSA/MCSE/RHCE, Azure admin experience, team leadership background

Interview Rounds :

L1 – Technical (Platform)

L2 – Technical

L3 – Techno-Managerial

L4 – HR

Job Title: Tutor or Assistant Professor – Cardiac Technology

Department: Cardiac Technology

Institution Type: KGiSL Educational Institution

Job Summary:

The Tutor or Assistant Professor – Cardiac Technology will be responsible for teaching undergraduate students, conducting practical and clinical training sessions, guiding academic projects, and supporting departmental academic and research activities. The candidate should possess strong theoretical and practical knowledge in cardiac diagnostic and therapeutic procedures.

Minimum Qualification:

B.Sc. in Cardiac Technology (or equivalent qualification in Cardiac Technology)

Minimum 2 years of relevant teaching or clinical experience

Key Responsibilities:

Deliver lectures and conduct practical sessions in cardiac technology subjects as per curriculum requirements.

Train students in ECG, TMT, Echocardiography, cardiac catheterization lab procedures, and other non-invasive and invasive cardiac diagnostic techniques.

Prepare lesson plans, teaching materials, and evaluation methods.

Supervise students during clinical postings and hospital training.

Assess student performance through internal assessments, practical examinations, and viva voce.

Maintain academic records, attendance registers, and examination documentation.

Participate in curriculum development and departmental planning activities.

Guide students in academic projects, case studies, and research activities.

Ensure proper maintenance and safe handling of cardiac diagnostic equipment.

Contribute to seminars, workshops, research publications, and institutional development activities.

Required Skills:

Strong knowledge of cardiovascular anatomy, physiology, and cardiac diagnostic procedures.

Proficiency in handling cardiac diagnostic equipment.

Effective teaching and presentation skills.

Good communication and interpersonal abilities.

Research aptitude and academic writing skills.

Basic computer proficiency (MS Office and academic software).

Preferred Attributes:

Experience in teaching within an educational institution.

Clinical exposure in reputed hospitals or cardiac centers.

Participation in professional development programs and conferences.

Your Responsibilities

what you will wake up to solve.

• Process-First AI Strategy: Principal Technical Expert: Act as a hands-on leader and the core technical authority tasked with "futurifying" client businesses through advanced AI. Take full ownership of the AI Engineering squad, transforming ambitious concepts into high-impact, tangible realities.
• Engineering & Intelligent Deployment: Execute the full-lifecycle development of innovative AI/ML solutions, including hands-on design, coding, testing, and deployment of robust, scalable systems that prioritize technical excellence and business relevance.
• Scalability & Architectural Optimization: Directly build and optimize high-performance AI architectures and core system components to ensure solutions are reliable, production-ready, and optimized for long-term operational success.
• Impact-Driven Technical Expertise: Deliver intelligent client outcomes through direct technical contribution, maintaining an "Always Beta" mindset and a relentless focus on solving complex engineering challenges.
• Leadership through Action: Lead by example rather than control, coaching and mentoring a high-performing squad of "happier Do-ers" to foster a vibrant culture of continuous innovation and technical excellence.
• Strategic Integration & Collaboration: Partner across internal teams to translate chaotic business challenges into precise technical requirements, ensuring seamless solution integration and adoption for global clients.
• The "Agentic" Shift: You will lead the transition from simple predictive models to Agentic Workflows. You will build systems where AI agents can plan, reason, and execute complex tasks autonomously to solve intricate business problems.
• Talent & Culture: You will mentor a high-performance squad of AI Engineers and Data Scientists. You will teach them to look beyond the algorithm and understand the business outcome.

Functional Skills

Scaling Intelligent Workforce through Delivery Excellence

• Deep Technical Acumen: Operates at the cutting edge of AI, applying advanced technical knowledge to engineer and implement groundbreaking solutions, and guide the squad in developing future capabilities.
• Client Advocacy & Revenue Growth: Skill in cultivating and maintaining trusted client partnerships. Drives strategic engagement that results in repeat business and expanded client portfolios within the region.
• Contract & Risk Governance: High proficiency in reviewing and managing complex project agreements (SoW), mitigating delivery risks, and navigating commercial negotiations to safeguard BU profitability.
• Structured Problem-Solving: Simplifies chaotic technical challenges for the squad by breaking them into solvable chunks using first-principles thinking.
• Squad Delivery Ownership: Follows through on the squad's solution execution—owning technical outcomes from ideation to deployment with rigor, precision, and pride, ensuring tangible, real-world business value.

Technical Oversight & Execution Charter

• Technical Troubleshooting & Crisis Resolution: Actively manages technical roadblocks within the squad, personally intervening to troubleshoot ML or MLOps constraints. You ensure the protection of sprint timelines and the guaranteed performance of deployed models through hands-on problem-solving.
• Cloud-Native Technical Command: Maintains deep, functional knowledge of modern AI system design (e.g., RAG Frameworks, Agentic Workflows, and Inference Optimization) across GCP and AWS. You hold the responsibility to validate squad-level technical roadmaps, ensuring they are technically feasible and production-hardened.
• End-to-End Project Management: Expertly manage all aspects of a project, including scope, budget, timelines, and stakeholder communication. Accountable for the entire delivery, not just the technical parts.
• Talent Strategy & Mentorship: Drive the hiring and development of specialized talent. You will be responsible for defining and optimizing effective team structures while proactively fostering an environment that champions creative problem-solving and technical agility.

Tech Superpowers

• Deep AI Engineering Mastery & Guidance: Possesses profound, hands-on expertise in engineering, optimizing, and deploying foundational models, custom AI solutions, and complex multi-modal systems. You'll also guide your squad in understanding model architectures, training methodologies, and ethical AI development from the ground up, ensuring their collective proficiency.
• Intelligent Systems Architecture & Oversight: You'll directly contribute to and oversee the coding and implementation of robust, scalable, and production-grade AI platforms and MLOps components for your squad's projects. You'll translate abstract technical requirements into high-performance, maintainable AI system designs, always considering reliability, security, and future extensibility across the squad's work.
• Cloud-Native AI capability: More than cloud-certified, you are deeply cloud-capable in applied AI engineering. You proficiently leverage and guide your team in utilizing leading cloud AI/ML ecosystems to build, deploy, and manage AI solutions.
• Technical Integrity & Ethical Governance: Establishes and audits mandatory technical quality benchmarks, ensuring strict adherence to rigorous policies regarding model validation, automated testing coverage, and ethical governance.

Experience & Relevance

• A value-driven AI/ML Engineering Manager with 8+ years of experience in building and scaling end-to-end AI engineering and solution delivery.
• Leadership Track Record: Proven track record as a hands-on builder, and lead, contributing to the design, development, and deployment of complex, enterprise-grade AI/ML platforms and solutions. Expert in leveraging Google Cloud's AI/ML ecosystem (Vertex AI, BigQuery ML, GKE for MLOps) to deliver highly performant, scalable, and impactful AI transformations.
• Delivery & Advisory Record: Experience in building and optimizing intelligent systems and personally driving the technical execution from conception to scalable deployment.
• Applied AI & Domain Expertise: Hands-On AI Deployment: Extensive hands-on experience deploying AI-powered workflows, copilots, and automation solutions in production environments.
• Client-Facing Lead: Demonstrated hands-on experience as an AI/ML Product Manager, Data Science Manager, or Technical Architect in client-facing capacities. This involves directly building, implementing, and advising on complex AI solutions, consistently acting as the trusted technical authority for strategic clients.

Bonus Points (you will thrive if you have)

• Founder’s Energy: Bias for action, thrive in ambiguity, relentless focus on outcomes.
• Low-Code/No-Code Fluency: Experience with AI integrations via Power Platform or similar.
• AI Copilots & Extensions: Built plugins, copilots, or agentic automation frameworks.
• Thought Leadership DNA: Industry content creation, technical blogs, public speaking.
• Ethical Compass: Strong commitment to responsible AI practices.
• Engineer at Heart: Background in product development or engineering before moving into architecture.

We are seeking a dynamic and knowledgeable Assistant Professor in the Department of Computer Science to deliver high-quality teaching, engage in impactful research, and contribute to departmental and institutional service activities. The candidate must demonstrate a passion for education and an ability to inspire and mentor students.

We are seeking an experienced and passionate Cloud and DevOps Trainer to join our training and development team. The trainer will be responsible for delivering high-quality, hands-on training in Cloud technologies (such as AWS, Azure, or GCP) and DevOps tools and practices to students or working professionals.

Requirements:

• Bachelor’s degree in computer science, computer engineering or similar.
• Previous work experience as an AngularJS developer.
• Proficient in CSS, HTML, and writing cross-browser compatible code.
• Experience using JavaScript building tools like Gulp or Grunt.
• Knowledge of JavaScript MV-VM/MVC frameworks including AngluarJS.
• Technical lead skills. Can handle a team or independent technical delivery
• Proven experience implementing front-end and back-end JavaScript applications.
• Excellent communication skills.
• Critical thinker and good problem-solver.

• Write content for website funnels, web pages, blogs & marketing

• Create website content that is accurate, attention-grabbing, well-researched, and meets the needs of international clients

• Edit, proofread work to ensure high editorial standards are met across all content outputs

• Collaborate with creative, product, marketing teams to assess project needs and help with messaging

• Speak with internal, external stakeholders to learn about their content needs, develop and implement brand guidelines

• Work closely with the accounts, design teams to brainstorm ideas & create concepts, develop messaging

• Assist in other aspects of the creative or research processes to create accurate content and maximize growth

• Stay current on trends and competitors within the editorial sphere

• See projects through the whole creative lifestyle, from inception to deployment (digitalyards.in)

• Meeting with technology managers to determine application and website requirements.
• Upgrading existing .NET websites and applications.
• Analyzing system requirements and delegating development tasks.
• Developing technical specifications.
• Writing scalable code for .NET software applications.
• Reviewing and debugging .NET applications.
• Providing support for junior developers.
• Deploying functional websites, programs, and applications.
• Drafting software and application operating procedures.
• Training junior staff.

• Bachelor’s degree in computer science or information technology.
• Previous experience as a .NET developer.
• High-level managerial skills.
• Knowledge of .NET languages including C#, Visual Basic.NET, C++/CLI, J#, and JScript.NET.
• Proficient with front-end development languages including JavaScript, HTML5, and CSS.
• Ability to project manage.
• Excellent problem-solving skills.
• Good verbal and written communication skills.