Android Developer

Application Deployment Engineers / Deployment Engineer – Video Analytics / CCTV Solutions / Application Implementation Engineer

Company Name

Paralaxiom Technologies Private Limited

Company Website

https://www.vast.vision/

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

AI Lead (Backend Systems & Architecture)

This is not a feature-delivery role. This is an architecture, ownership, and AI systems leadership role.

At Techjays, we build production-grade AI platforms for global clients. We are looking for an AI Lead with strong backend engineering expertise—someone who can design, scale, and take complete ownership of intelligent systems end-to-end.

You will operate at the intersection of backend engineering, distributed systems, and applied AI, driving both technical direction and execution.

What You’ll Do

• Architect and scale backend systems powering AI-driven applications
• Design and implement AI workflows such as RAG pipelines, agents, and LLM integrations
• Own systems end-to-end: architecture, development, deployment, and scaling
• Build reliable, high-performance distributed systems
• Integrate and optimize LLMs (Claude, GPT, etc.) for real-world use cases
• Lead backend and AI initiatives with strong technical ownership
• Ensure performance, scalability, observability, and cost efficiency
• Mentor engineers and raise the technical bar across teams
• Collaborate with product and AI teams to build AI-native solutions

What We’re Looking For

• Proven experience in architecting and scaling backend systems end-to-end
• Strong expertise in Python (Django / Flask / FastAPI)
• Deep understanding of distributed systems and system design
• Hands-on experience with AWS or GCP in production environments
• Solid experience working with LLMs (Claude, GPT, etc.)
• Strong knowledge of:
• Retrieval-Augmented Generation (RAG)
• Vector databases (Pinecone, FAISS, Weaviate, etc.)
• Experience in building and managing microservices architectures
• Ability to lead teams, mentor engineers, and drive technical excellence
• Strong problem-solving skills with an ownership mindset

Nice to Have

• Experience building AI agents or autonomous systems
• Familiarity with real-time data systems or streaming (Kafka, etc.)
• Understanding of MLOps and AI system lifecycle
• Experience optimizing AI systems for latency, cost, and scalability

Who You Are

• You think in systems, not just features
• You take full ownership of what you build
• You are comfortable in fast-moving, ambiguous environments
• You stay updated with the latest advancements in AI and backend technologies

This role is ideal for someone who wants to lead, build, and scale AI-powered backend systems in production while driving real-world impact.

We’re hiring a remote, contract-based Backend & Infrastructure Engineer who can build and run production systems end-to-end.

You will build and scale high-throughput backend services in Golang and Python, operate ClickHouse-powered analytics at scale, manage Linux servers for maximum uptime, scalability, and reliability, and drive cost efficiency as a core engineering discipline across the entire stack.

What You Will Do:

Backend Development (Golang & Python)

• Design and maintain high-throughput RESTful/gRPC APIs — primarily Golang, Python for tooling and supporting services
• Architect for horizontal scalability, fault tolerance, and low-latency at scale
• Implement caching (Redis/Memcached), rate limiting, efficient serialization, and CI/CD pipelines

Scalable Architecture & System Design

• Design and evolve distributed, resilient backend architecture that scales without proportional cost increase
• Make deliberate trade-offs (CAP, cost vs. performance) and design multi-region HA with automated failover

ClickHouse & Analytical Data Infrastructure

• Deploy, tune, and operate ClickHouse clusters for real-time analytics and high-cardinality OLAP workloads
• Design optimal table engines, partition strategies, materialized views, and query patterns
• Manage cluster scaling, replication, schema migrations, and upstream/downstream integrations

Cost Efficiency & Cost Optimization

• Own cost optimization end-to-end: right-sizing, reserved/spot capacity, storage tiering, query optimization, compression, batching
• Build cost dashboards, budgets, and alerts; drive a culture of cost-aware engineering

Linux Server Management & Infrastructure

• Administer and harden Linux servers (Ubuntu, Debian, CentOS/RHEL) — patching, security, SSH, firewalls
• Manage VPS/bare-metal provisioning, capacity planning, and containerized workloads (Docker, Kubernetes/Nomad)
• Implement Infrastructure-as-Code (Terraform/Pulumi); optionally manage AWS/GCP as needed

Data, Storage & Scheduling

• Optimize SQL schemas and queries (PostgreSQL, MySQL); manage data archival, cold storage, and lifecycle policies
• Build and maintain cron jobs, scheduled tasks, and batch processing systems

Uptime, Reliability & Observability

• Own system uptime: zero-downtime deployments, health checks, self-healing infra, SLOs/SLIs
• Build observability stacks (Prometheus, Grafana, Datadog, OpenTelemetry); structured logging, distributed tracing, alerting
• Drive incident response, root cause analysis, and post-mortems

Required Qualifications:

Must-Have (Critical)

• Deep proficiency in Golang (primary) and Python
• Proven ability to design and build scalable, distributed architectures
• Production experience deploying and operating ClickHouse at scale
• Track record of driving measurable cost efficiency and cost optimization
• 5+ years in backend engineering and infrastructure roles

Also Required

• Strong Linux server administration (Ubuntu, Debian, CentOS/RHEL) — comfortable living in the terminal
• Proven uptime and reliability track record across production infrastructure
• Strong SQL (PostgreSQL, MySQL); experience with high-throughput APIs (10K+ RPS)
• VPS/bare-metal provisioning, Docker, Kubernetes/Nomad, IaC (Terraform/Pulumi)
• Observability tooling (Prometheus, Grafana, Datadog, OpenTelemetry)
• Cron jobs, batch processing, data archival, cold storage management
• Networking fundamentals (DNS, TCP/IP, load balancing, TLS)

Nice to Have

• AWS, GCP, or other major cloud provider experience
• Message queues / event streaming (Kafka, RabbitMQ, SQS/SNS)
• Data pipelines (Airflow, dbt); FinOps practices
• Open-source contributions; compliance background (SOC 2, HIPAA, GDPR)

What We Offer

• Remote, contractual role
• Flexible time zones (overlap for standups + incident coverage)
• Competitive contract compensation + equity
• Long-term engagement opportunity based on performance

his position lets you work from the comfort of your home. You would be required to work from 2:00 pm to 10:00 pm. You will receive 12 personal times off during the year. You would have to be available via skype during those times. The ideal candidate would have to know a lot about seo and code to fix issues that are required on google. You would be working on projects from job boards to crm to websites. Your primary job would be to write code. AWS operating systems knowledge is a requirement. But this position would be a lead position to get the job done.

Must have experience with google search engines.

Full Stack Developer Responsibilities:

Proficiency with server side languages such as html, Python, React, Ruby, Java, PHP and .Net. Django

• Developing front end website architecture.
• Designing user interactions on web pages.
• Developing back end website applications.
• Creating servers and databases for functionality.
• Ensuring cross-platform optimization for mobile phones.
• Ensuring responsiveness of applications.
• Working alongside graphic designers for web design features.
• Seeing through a project from conception to finished product.
• Designing and developing APIs.
• Meeting both technical and consumer needs.
• Staying abreast of developments in web applications and programming languages.Full Stack Developer Requirements:
• Degree in Computer Science.
• Strong organizational and project management skills.
• Proficiency in Python CRM application
• Proficiency with fundamental front end languages such as HTML, CSS and JavaScript.
• Familiarity with html, JavaScript frameworks such as Angular JS, React and Amber.
• Familiarity with database technology such as MySQL, AWS, Oracle and MongoDB.
• Excellent verbal communication skills.
• Good problem solving skills.
• Attention to detail.