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Application Deployment Engineers / Deployment Engineer – Video Analytics / CCTV Solutions / Application Implementation Engineer
Company Name
Paralaxiom Technologies Private Limited
Company Website
https://www.linkedin.com/company/paralaxiom
Company details
Paralaxiom Technologies is involved in deep learning algorithms to develop video analytics-based security and compliance applications. They offer OCR products and image classification tools enhanced by machine learning algorithms and robust statistical analysis. We are among the earliest practitioners of AI software and we have world-class credentials in these technologies. They offer products like Paralaxiom VAST(Video Analytics and Surveillance Toolkit) and Paralaxiom AMPLE(Paralaxiom natural language processing platform).
In today's world, all premises be it manufacturing, hospitals, offices, hotels, cities, airports, shops, warehouses etc. are covered with CCTV Cameras. Continuous monitoring through dedicated command center or e-surveillance is proving to be ineffective as well as costly to manage.
We have pioneered the use of AI / ML technologies to headlessly live monitor CCTV cameras to generate very accurate alerts, alarms & insights and deliver them directly to the right stakeholders for quick, proactive action.
We have worked closely with hundreds of customers from diverse industries, AI Hardware Partners, CCTV OEMs, VMSs, System Integrators & Consultants to bring to the world VAST, an enterprise-ready Video Surveillance as a Service (VSaaS) solution.
Location: Pune / Bangalore / Chennai
Mode of Working: Work From Office
Days of Working: 5 Days a week
Responsibilities
Position Overview:
Paralaxiom is a video analytics and machine vision company with its VAST product line a path-breaking product for safety, security, and operations for CCTV operations.
We are looking for application engineers for this product line.
Experience: 1 -2 years
Key Responsibilities:
1) Gathering information from customers on their needs and understanding how VAST software matches their desires
2) Design the solution and installation of the software
3 ) Making sure the VAST software continues to work properly after maintenance and testing
4) Take notes of all aspects of the application for future upgrades and maintenance
5) Troubleshooting the software
6) Training the end users
7) Excellent Knowledge of Python and shell scripting
8) Working knowledge of IP networking and troubleshooting
We need someone with 1-2 years of experience with the following skillset:
Great communication skills
Debugging and analytical skills
Knowledge of hardware and software integration will be a plus
Knowledge of Camera NVR will be a plus
Hands-on system and functional testing will be a plus
Interview process: 3 Video + Final Discussion - F2F
Role: DevOps Engineer
Exp: 4 - 7 Years
CTC: up to 28 LPA
Key Responsibilities
• Design, build, and manage scalable infrastructure on cloud platforms (GCP, AWS, Azure, or OCI)
• Administer and optimize Kubernetes clusters and container runtimes (Docker, containerd)
• Develop and maintain CI/CD pipelines for multiple services and environments
• Manage infrastructure as code using tools like Terraform and/or Pulumi
• Automate operations with Python and shell scripting for deployment, monitoring, and maintenance
• Ensure high availability and performance of production systems and troubleshoot incidents effectively
• Monitor system metrics and implement observability best practices using tools like Prometheus, Grafana, ELK, etc.
• Collaborate with development, security, and product teams to align infrastructure with business needs
• Apply best practices in cloud networking, Linux administration, and configuration management
• Support compliance and security audits; assist with implementation of cloud security measures (e.g., firewalls, IDS/IPS, IAM hardening)
• Participate in on-call rotations and incident response activities
If Interested kindly share your updated resume on 82008 31681
- Java
- Spring Boot
- Database (Preferably Mysql)
- Multithreading
- Low Level design (Any Module)
- Github
- Leetcode
- data structure
Programming Languages: Perl, Python, java. Perl programming with strong OOPs knowledge.
- UI: HTML, JS
- System: Linux must have – good knowledge and shell scripting experience.
- Prior experience in infrastructure automation, monitoring will definitely help.
Description:
The person in this role:
- Will be involved in developing new monitoring scripts, enhancement & defect fixes on existing monitors
- Have to be on-call to support any incoming production/P1 internal issues which need urgent attention (team members are on call for a week and we have a weekly rotation policy within the team)
Preferred skills:
Perl
- Shell scripting
- Unix
- Jenkins
Position: Backend Developer 1 / Backend Engineer:
Location: Bangalore
Experience: .5 to 4 years, preferably in an agile environment
Strong Knowledge Node.js and MongoDB
Good Knowledge on Flask, SQL and other databases
Good Knowledge on Deployment Process (Nginix, Docker, AWS, Digital Ocean)
Basic Knowledge on Python
- 10 + years of experience and expertise in database and systems architecture design, development and implementation;
- Expertise and experience in data structures, indexing, query, and retrieval;
- Excellent data management skills including ensuring data integrity, data access, security and archiving procedures;
- Knowledge of the language technology and video extraction research domains to be able to converse fluently with the research communities to transform research requirements into concrete formalisms.
- Experience in cross platform development for multiple variants of Unix, Linux including 32 and 64 bit
- Experience with NoSQL, SQL databases, statistics and algorithms
- Strong oral and written communication skills
- Design, implement and test novel database architecture designs to accommodate the multimodal data types used in Client managed technology evaluations
- Administer and monitor database and address data security solutions as applicable
- Design and develop efficient techniques for fast, optimized data access and transfer of distributed or networked database systems
- Design, implement and test novel data structures, data search, query and retrieval solutions to enable access to and processing of the multimodal data types used in Client managed technology evaluations

Next gen BI platform for data driven performance marketers
This leads to a very interesting and challenging use case in the emerging field of large scale distributed HTAP, which is still not mature enough to provide a solution out of the box that works for our scale and SLAs. So, we are building a solution that can handle the complexity of our use case and scale to several trillions of rows. As a "Database Engineer", you will evolve, architect, build and scale the core data warehouse that sits at the heart of Clarisights enabling large scale distributed, interactive analytics on near realtime data.
What you'll do
- Understanding and gaining expertise in existing data warehouse.
- Use the above knowledge to identify gaps in the current system and formulate strategies around what can be done to fill them
- Avail KPIs around the data warehouse.
- Find solutions to evolve and scale the data warehouse. This will involve a lot of technical research, benchmarking and testing of existing and candidate replacement systems.
- Bulid from scratch all or parts of the data warehouse to improve the KPIs.
- Ensure the SLAs and SLOs of data warehouse, which will require assuming ownership and being oncall for the same.
- Gain deep understanding into Linux and understand concepts that drive performance characteristics like IO scheduling, paging, processing scheduling, CPU instruction pipelining etc.
- Adopt/build tooling and tune the systems to extract maximum performance out of the underlying hardware.
- Build wrappers/microservices for improving visibility, control, adoption and ease of use for the data warehouse.
- Build tooling and automation for monitoring, debugging and deployment of the warehouse.
- Contribute to open source database technologies that are used at or are potential candidates for use.
What you bring
We are looking for engineers with a strong passion for solving challenging engineering problems and a burning desire to learn and grow in a fast growing startup. This is not an easy gig, it will require strong technical chops and an insatiable curiosity to make things better. We need passionate and mature engineers who can do wonders with some mentoring and don't need to be managed.
- Distributed systems: You have a good understanding of general patterns of scaling and fault-tolerance in large scale distributed systems.
- Databases: You have a good understanding of database concepts like query optimization, indexing, transactions, sharding, replication etc.
- Data pipelines: You have a working knowledge of distributed data processing systems.
- Engineer at heart: You thrive on writing great code and have a strong appreciation for modular, testable and maintainable code, and make sure to document it. You have the ability to take new initiatives and questioning status quo.
- Passion & Drive to learn and excel: You believe in our vision. You drive the product for the better, always looking to improve things, and soon become the go-to person to talk to on something that you mastered along. You love dabbling in your own side-projects and learning new skills that are not necessarily part of your normal day job.
- Inquisitiveness: You are curious to know how different modules on our platform work. You are not afraid to venture into unknown territories of code. You ask questions.
- Ownership: You are your own manager. You have the ability to implement engineering tasks on your own without a need for micro-management and take responsibility for any task that has been assigned to you.
- Teamwork: You should be helpful and work well with teams. You’re probably someone who enjoys sharing knowledge with team-mates, asking for help when they need it.
- Open Source Contribution: Bonus.


