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Review Criteria:

Mandatory:

• Strong AI Runtime Engineering (Lead / Staff) Profiles
• Must have 4+ years of software engineering experience
• Must have proven 1+ years of experience designing, building, and owning AI runtime infrastructure supporting distributed training and/or inference at scale
• Must have hands-on experience optimizing deep learning runtimes such as PyTorch, TensorFlow, etc
• Must have strong low-level performance engineering experience, including profiling, debugging, and optimizing system throughput, latency, and reliability
• Must have experience leading or mentoring a team, including technical guidance, code reviews, and delivery ownership
• Must have strong programming skills in Python, Java, C++ , etc

Preferred:

Experience with Kubernetes, Ray, TorchElastic, or custom AI job orchestration frameworks

Exposure to LLM training pipelines, checkpointing, elastic or distributed training orchestration

Role & Responsibilities:

As Lead/Staff AI Runtime Engineer, you’ll play a pivotal role in the design, development, and optimization of the core runtime infrastructure that powers distributed training and deployment of large AI models (LLMs and beyond). This is a hands-on leadership role - perfect for a systems-minded software engineer who thrives at the intersection of AI workloads, runtimes, and performance-critical infrastructure. You’ll own critical components of our PyTorch-based stack, lead technical direction, and collaborate across engineering, research, and product to push the boundaries of elastic, fault-tolerant, high-performance model execution.

What you’ll do:

Lead Runtime Design & Development:

• Own the core runtime architecture supporting AI training and inference at scale.
• Design resilient and elastic runtime features (e.g. dynamic node scaling, job recovery) within our custom PyTorch stack.
• Optimize distributed training reliability, orchestration, and job-level fault tolerance.

Drive Performance at Scale:

• Profile and enhance low-level system performance across training and inference pipelines.
• Improve packaging, deployment, and integration of customer models in production environments.
• Ensure consistent throughput, latency, and reliability metrics across multi-node, multi- GPU setups.

Build Internal Tooling & Frameworks:

• Design and maintain libraries and services that support model lifecycle: training, check pointing, fault recovery, packaging, and deployment.
• Implement observability hooks, diagnostics, and resilience mechanisms for deep learning workloads.
• Champion best practices in CI/CD, testing, and software quality across the AI Runtime stack.

Collaborate & Mentor:

• Work cross-functionally with Research, Infrastructure, and Product teams to align runtime development with customer and platform needs.
• Guide technical discussions, mentor junior engineers, and help scale the AI Runtime team’s capabilities.

Ideal Candidate:

• 5+ years of experience in systems/software engineering, with deep exposure to AI runtime, distributed systems, or compiler/runtime interaction.
• Experience in delivering PaaS services.
• Proven experience optimizing and scaling deep learning runtimes (e.g. PyTorch, TensorFlow, JAX) for large-scale training and/or inference.
• Strong programming skills in Python and C++ (Go or Rust is a plus).
• Familiarity with distributed training frameworks, low-level performance tuning, and resource orchestration.
• Experience working with multi-GPU, multi-node, or cloud-native AI workloads.
• Solid understanding of containerized workloads, job scheduling, and failure recovery inproduction environments.

• Strong Digital Data Operations Profile
• Mandatory (Experience 1) – Must have 6+ YOE in Marketing tech operation/digital operations
• Mandatory (Experience 2) - Must have 2+ YOE using Datadog for setup, real-time monitoring and implementation for web pages
• Mandatory ((Experience 3) – Must have experience in incident management processes, including defining SLAs and triaging incident for the marketing universe
• Mandatory (Experience 4) - Must have experience in Real User Monitoring (RUM) across all marketing pages to capture data on performance (page load times, web-vitals), user behavior (heatmaps, device types, geography), and experience quality
• Mandatory (Experience 5) - Must have experience in developing and maintaining dashboards (using PowerBI, Tableau, or similar tools) to visualize incident trends, SLA adherence, and usage metrics from both synthetic and real user monitoring.
• Mandatory Note: Avoid Candidates from Hyderabad (native)

Preferred

• Preferred (Skills 1) – Experience in creatig dashboards with tools like Power BI or Tableau or strong aptitude and willingness to learn these tools as part of the role.
• Preferred (Skills 2) – Experience Adobe Analytics
• Preferred (Skills 3) – ITIL Knowledge/Certification

Job Title: Deployment Lead (Python, Linux, AWS) 

Location: Coimbatore

Overview 

We are seeking an experienced Deployment Lead to oversee the end-to-end deployment lifecycle of our applications and services. The ideal candidate will have deep expertise in Python, strong Linux administration skills, and hands-on experience with AWS cloud infrastructure. You will work closely with engineering, DevOps, QA, and product teams to ensure reliable, repeatable, and scalable deployments across multiple environments. 

Key Responsibilities 

• Lead and manage deployment activities for all application releases across development, staging, and production environments. 
• Develop and maintain deployment automation, scripts, and tools using Python and shell scripting. 
• Own and optimize CI/CD pipelines (e.g., GitHub Actions, Jenkins, GitLab CI, or AWS CodePipeline). 
• Oversee Linux server administration, including configuration, troubleshooting, performance optimization, and security hardening. 
• Design, implement, and maintain AWS infrastructure (EC2, S3, Lambda, IAM, RDS, ECS/EKS, CloudFormation/Terraform). 
• Ensure robust monitoring, logging, and alerting using tools such as CloudWatch, Grafana, Prometheus, or ELK. 
• Collaborate with developers to improve code readiness for deployment and production reliability. 
• Manage environment configurations and ensure consistency and version control across environments. 
• Lead incident response during production issues; conduct root-cause analysis and implement long-term fixes. 
• Establish and enforce best practices for deployment, configuration management, and operational excellence. 

Required Skills & Qualifications 

• 5+ years of experience in deployment engineering, DevOps, or site reliability engineering roles. 
• Strong proficiency in Python for automation and tooling. 
• Advanced experience with Linux systems administration (Ubuntu, CentOS, Amazon Linux). 
• Hands-on work with AWS cloud services and infrastructure-as-code (CloudFormation or Terraform). 
• Experience with containerization technologies such as Docker and orchestration platforms like ECS, EKS, or Kubernetes. 
• Strong understanding of CI/CD tools and automated deployment strategies. 
• Familiarity with networking concepts: DNS, load balancers, VPCs, firewalls, VPN, and routing. 
• Expertise with monitoring, alerting, and logging solutions. 
• Strong problem-solving and analytical skills; able to lead troubleshooting efforts. 
• Excellent communication and leadership abilities. 

Job description

1.Minimum 1-2 Years of Experience in Web Application Development.

2.Knowledge of PHP web frameworks including Laravel and Codeigniter is a plus.

3.Knowledge of front-end technologies including JavaScript, AJAX is a plus.

4.Understanding of object-oriented PHP programming.

5.Previous experience creating scalable applications.

6.Exposure to code versioning tools including Git, Mercurial, CVS and SVN.

7.Familiarity with SQL Databases is a plus.

8.Good logical and analytical skills.

Key Performance Indicators:

1.Collaborate with team members to determine best practices and client requirements for software development.

2.Solve complex performance problems and architectural challenges.

3.Write “clean”, well-designed code.

4.Good understanding of data structures & algorithms and their space & time complexities.

5.Strong technical aptitude and a good knowledge of CS fundamentals.

About Bynaric Systems:

We are a young, IT / EdTech small start-up having a strong presence in Institutional ERP product market; we build everything around “People”. A Team of agile software engineers addicted to new technologies, love programming and inclined towards new technologies. Work/life balance is a priority for us, with a Strong Roadmap, we are on a growth path and looking for a passionate, self-starter.

Interested applicants share your resume at hrbynaric.in

• Monitoring room sales and improving sales technique
• Answering questions about property facilities/services and room accommodations
• Handling inquiries and obtaining correct information regarding details of reservation
• Confirming and processing reservation requests
• Ensuring all information pertaining to reservations are properly taken and entered into the system
• Overseeing accuracy of room blocks, reservations, and group market codes
• Keeping up to date rooms available for sale and any changes in hostel room rates
• Helping maximize room sales by upselling through different packages
• Maintaining and updating all room reservation transactions, room availabilities
• Handling group bookings as well as end to end reservations processes
• Working closely with Sales Front Desk, Marketing and other departments, to ensure guest requirements are met

Desired Candidate Profile

• Experience in voice and email process both
• Background in handling reservation for Hotels/Travel/Tourism in BPO/Call Centre(Hospitality)    

At Klozet, We are building a launchpad for fashion designers and a virtual cloud-based wardrobe for the consumers. To do that we are creating a simple and beautiful product experience.
We are looking for a mindful, empathetic, self-motivated member to join our team to help us move thinking forward. With a strong focus on growth and personal development, Klozet is the ideal place to take your career to the next level in a fast-paced environment built on mutual trust and respect.

What will you do?

As a core technical member of the team, you'll architect and build the mobile app from scratch. You'll be working closely with the core and technology team to lead engineering planning, and bring an innovative and delightful product to life. You'll sweat the details and make things shine. You'll grow our engineering team and build a high-performance engineering culture.

Who are you?

• You have 2+ years of experience in high scale products. Experience in e-commerce products will be a plus.
• You have experience in React native development and have built products in a start-up environment.
• You have a stronghold on programming, architecture, design pattern to lead long term scalable, stable and flexible tech.
• You are flexible, dedicated, team leader, curious and passionate about learning.

We'd particularly love it if:

• Firm grasp of the JavaScript language and its nuances, including ES6+ syntax
• You have experience with react native build tools.
• You are familiar with native iOS and android development.
• You have experience in RESTful APIs, automated testing suites like Jest & mocha.

Sounds like you? We'd love to hear from you.

This role is based out of Gurgaon.