3+ Deployment management Jobs in Delhi, NCR and Gurgaon | Deployment management Job openings in Delhi, NCR and Gurgaon

Description

The Security Cloud Engineers form part of the Security Engineering team and are primarily responsible for building and maintaining a cloud environment for hosting security tools and for maintaining the cloud security tools that are used to secure production clouds. This is a proactive role and the successful candidate will have strong analytical and troubleshooting skills and a desire to learn new technologies.

The role would suit someone who has worked with a diverse set of IT/security products across a large on-premise infrastructure managed in house and who has experience of supporting the environment and who has existing experience of working with and securing cloud technologies.

Responsibilities

The responsibilities of the Information Security Cloud Engineers are:

• the support and maintenance of Cloud Security Tooling and Platforms including:
• implementing policy changes
• performing daily, weekly and monthly checks
• monitoring the availability of systems and responding to alerts
• monitor the capacity of systems & supporting infrastructure and project future capacity
• identifying and resolving issues
• preparing status reviews and reports
• managing support cases to ensure issues are recorded, tracked, resolved, and follow-ups are done in a timely manner
• to maintain a good working knowledge of current infrastructure and future trends
• to deliver excellent customer service
• to work with the third-party suppliers of the Security Products
• to maximise security value from existing investments
• to assist the wider Information Security Engineering team with the development of the security tooling
• to work collaboratively with wider Information Security team. This would include working with: The Incident Response team, assisting with incidents; and with the Security Consultants to provide additional technical knowledge
• to take part in post incident reviews and propose engineering resolution to improve results in any future recurrence
• to recognise that telemetry for security products will increasingly be curated in the cloud and be prepared to develop API endpoints and connections to collect and collate this knowledge
• to participate in the Information Security On-Call rota.

Essential Experience & Skills

• Proven experience of supporting IT/Security Infrastructure
• Strong technical background
• Hands of experience with a least 1 of the main cloud vendors (Amazon Web Services, Azure, Google Cloud Platform)
• Experience of Cloud Security Tools (e.g. AWS Security Hub, Azure Security Centre)
• The ability to pick up and learn new technology approaches and make rapid decisions on the best way to use these technology advancements for the betterment of the overall security posture.
• Excellent communication skills as the ability to communicate effectively, constructively, confidently and professionally is key to the success in the role as is the ability to work with IT and Information Security teams and the wider business.
• An excellent knowledge of Information Security principles and an understanding of the Cyber Kill Chain, MITRE ATT&CK and other information security defence and intelligence frameworks.
• Keen attention to detail and excellent analytical skills.
• Ability to actively manage workloads to meet business and department requirements.

Desirable Skills

• One or more technical Information Security Certifications such as:
• CompTIA: Security+
• GIAC Certification: GCWN, GSEC
• One or more cloud certifications such as:
• AWS Certified Solutions Architect – Associate
• Microsoft Certified: Azure Solutions Architect Expert
• Certified Cloud Security Professional (CCSP)
• Degree in an Information Security / Computing discipline
• Experience in ITIL concepts
• Experience working within in an Agile framework
• Experience with all the main cloud vendors (Amazon Web Service, Azure, Google Cloud Platform)
• Experience with Security Tools such as:
• Internet Filtering
• Email Filtering
• EndPoint Detection and Response
• Host Based Firewalling, HIDS/HIPS
• Antimalware
• Familiarity with a programming or scripting language
• Familiarity with regex / regular expressions
• A working knowledge of financial services and the typical business processes involved together with the threat actors and their relevant tactics, techniques and procedures would be of significant advantage.

Who Are We

A research-oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI-based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery.

ORBO's solutions are helping BFSI, beauty and personal care digital transformation and Ecommerce image retouching industries in multiple ways.

WHY US

• Join top AI company
• Grow with your best companions
• Continuous pursuit of excellence, equality, respect
• Competitive compensation and benefits

You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make cameras intelligent and images more informative.

To learn more about how we work, please check out

https://www.orbo.ai/.

Description:

We are looking for a computer vision engineer to lead our team in developing a factory floor analytics SaaS product. This would be a fast-paced role and the person will get an opportunity to develop an industrial grade solution from concept to deployment.

Responsibilities:

• Research and develop computer vision solutions for industries (BFSI, Beauty and personal care, E-commerce, Defence etc.)
• Lead a team of ML engineers in developing an industrial AI product from scratch
• Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment
• Tune the models to achieve high accuracy rates and minimum latency
• Deploying developed computer vision models on edge devices after optimization to meet customer requirements

Requirements:

• Bachelor’s degree
• Understanding about depth and breadth of computer vision and deep learning algorithms.
• Experience in taking an AI product from scratch to commercial deployment.
• Experience in Image enhancement, object detection, image segmentation, image classification algorithms
• Experience in deployment with OpenVINO, ONNXruntime and TensorRT
• Experience in deploying computer vision solutions on edge devices such as Intel Movidius and Nvidia Jetson
• Experience with any machine/deep learning frameworks like Tensorflow, and PyTorch.
• Proficient understanding of code versioning tools, such as Git

Our perfect candidate is someone that:

• is proactive and an independent problem solver
• is a constant learner. We are a fast growing start-up. We want you to grow with us!
• is a team player and good communicator

What We Offer:

• You will have fun working with a fast-paced team on a product that can impact the business model of E-commerce and BFSI industries. As the team is small, you will easily be able to see a direct impact of what you build on our customers (Trust us - it is extremely fulfilling!)
• You will be in charge of what you build and be an integral part of the product development process
• Technical and financial growth!

• Managing the project plan, budget, structure, schedule and staffing requirements for the delivery organization
• Creating and executing project work plans and revising as appropriate to meet changing needs and requirements for a workstream
• Being responsible for the deliverables, cost, schedule, and quality for a workstream
• Developing, reviewing and approving project plan(s) and scope; ensuring all facets of the project deliverables are met for a workstream
• Reviewing deliverables prepared by team before passing to client for a workstream
• Identifying and managing project risk for a workstream
• Ensuring project documents are complete, current, and stored appropriately for a workstream
• Reviewing the status reports of team members and addressing issues as appropriate for a workstream