Network Engineer L2

You will be at the forefront of Byteridge's AI infrastructure capabilities, helping customers unlock the full potential of foundation models through expert-level deployment on GPU infrastructure.

This highly technical role requires deep expertise in machine learning infrastructure, GPU optimization, and production ML systems, combined with the ability to translate complex technical concepts into customer success.

What You'll Do

Model Deployment & Optimization

• Lead end-to-end deployments of large language models on AWS infrastructure for strategic

customers

• Design and implement training, fine-tuning, and inference pipelines using Amazon SageMaker AI

• Optimize model performance through GPU-level tuning, kernel optimization, and infrastructure

configuration

• Deploy models on diverse GPU architectures including NVIDIA and AWS custom silicon (Trainium,

Inferentia)

Infrastructure Architecture & Performance

• Architect scalable ML infrastructure using SageMaker AI Inference, HyperPod, and distributed

training frameworks

• Implement CUDA-level optimizations and custom kernels for improved model performance

• Design storage and networking architectures optimized for high-throughput ML workloads

• Troubleshoot and resolve complex performance bottlenecks at the GPU driver and kernel level

Customer Engagement & Technical Leadership

• Partner with AWS AI Specialist Solution Architects and customer ML teams to understand model

requirements and deployment constraints

• Provide technical guidance on model selection, fine-tuning strategies, and production best practices

• Conduct performance benchmarking and cost optimization analysis for ML workloads

• Share field insights with AWS product teams to influence infrastructure and service roadmaps

What We're Looking For

Core Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience (Master's or

PhD preferred)

• 5+ years of experience in machine learning infrastructure, model deployment, or GPU computing

• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, JAX)• Deep understanding of LLM architectures, training methodologies, and inference optimization

Technical Expertise (High-Level Alignment)

• Hands-on experience training, fine-tuning, or deploying large language models in production

• Proficiency with GPU programming, CUDA, and kernel-level optimization techniques

• Experience with distributed training frameworks and multi-GPU/multi-node orchestration

• Strong knowledge of AWS core services: EC2 (GPU instances), S3, EFS, VPC, and networking

Preferred Experience

• Direct experience with Amazon SageMaker AI (Training, Inference, HyperPod) or equivalent ML

platforms

• Understanding of GPU architectures (NVIDIA A100, H100) and AWS custom silicon (Trainium,

Inferentia)

• Experience with model compression techniques (quantization, pruning, distillation)

• Knowledge of MLOps practices, model monitoring, and production ML system design

• Background in high-performance computing, distributed systems, or systems programming

Essential Attributes

• Ability to dive deep into technical problems and debug complex infrastructure issues

• Strong analytical skills with data-driven approach to optimization

• Excellent communication skills to explain complex technical concepts to diverse audiences

• Comfortable working in ambiguous, fast-paced environments with evolving requirements

• Ownership mindset with ability to drive projects from architecture to production

Primary Skills

• Observability: ELK (Elasticsearch/Kibana), Prometheus, Grafana, PromQL
• Automation: Java/Vert.x or Python (FastAPI), Shell/Bash, REST/SOAP APIs
• Cloud & Platform: Docker, Kubernetes, Kafka, Redis
• Reliability Engineering: Distributed Systems, Microservices, Event-Driven Architecture, DR & Incident Management
• Stakeholder Management & Cross-functional Collaboration

Secondary Skills

• Agentic AI: LangChain, LangGraph, RAG, MCP
• LLM Integration & AI Frameworks
• Python (FastAPI)

Key Responsibilities

• Build and deploy LLM-powered Agentic AI solutions with tool calling and autonomous workflows.
• Integrate AI capabilities into existing applications using modern AI frameworks.
• Own platform reliability through SLAs, SLOs, error budgets, MTTD/MTTR, and operational governance.
• Enhance observability using ELK, Prometheus, Grafana, and advanced alerting.
• Lead incident response, RCA, disaster recovery, and resiliency initiatives.
• Drive production readiness, automation, platform stability, and infrastructure optimization.

Required Experience

Experience Range: 3–6 Years

Candidate should have experience in one or more of the following:

• B2B SaaS sales
• Health-tech software sales
• Hospital software / HIS / LIS / EMR sales
• Medical technology solution sales
• Enterprise software sales to institutions

Preferred Industry Background

Highly preferred:

• Healthcare technology
• Hospital management software
• Blood bank / laboratory systems
• Medical SaaS platforms

Required Skills

• Strong consultative and solution selling skills
• Experience in enterprise/client-facing product demos
• Ability to sell to institutional decision-makers
• Strong negotiation and closing capability
• Excellent communication and presentation skills
• CRM proficiency (HubSpot, Zoho, etc.)

Preferred Qualifications

• Bachelor’s degree in Business, Marketing, Healthcare Administration, or related field
• MBA preferred but not mandatory
• Familiarity with healthcare compliance environments is an advantage 

Key Responsibilities

1. Business Development & Lead Generation

• Identify and generate new sales opportunities in hospitals, blood banks, healthcare institutions, NGOs, and government health organizations
• Build and maintain a healthy sales pipeline through prospecting, networking, referrals, and outreach campaigns
• Develop strategic territory and account plans for assigned regions

2. Product Selling & Client Acquisition

• Present and demonstrate RAKT to prospective clients
• Understand customer pain points and map software solutions accordingly
• Conduct consultative selling to explain business and operational benefits of the platform
• Drive complete sales cycle from lead qualification to contract closure

3. Stakeholder Relationship Management

• Build relationships with:
• Blood bank administrators
• Hospital procurement teams
• Medical directors
• Operations heads
• Maintain strong post-demo engagement to accelerate decision-making

4. Sales Closure & Revenue Achievement

• Meet and exceed monthly, quarterly, and annual revenue targets
• Negotiate commercials, pricing proposals, and contract terms
• Ensure timely closure of opportunities in CRM pipeline

5. Market Intelligence & Feedback

• Gather competitor intelligence and market insights
• Provide feedback to product and leadership teams on customer needs and feature demands
• Track healthcare digitization trends relevant to blood bank operations

6. CRM & Reporting

• Maintain accurate pipeline and forecasting updates in CRM systems
• Submit weekly sales reports, funnel metrics, and conversion status updates
• Track lead-to-demo and demo-to-closure ratios 

The Company

Mira Network is a decentralized AI verification protocol backed by $9M in funding. We're building infrastructure that makes AI outputs trustworthy and verifiable at scale — think of us as the trust layer for the AI economy.

Inside Mira, we're now building applications on top of this infrastructure. The first is Nola — an AI-first stablecoin neobank.

Nola isn't a banking app with a chatbot bolted on. It's an AI product with a bank attached. The AI agent is the primary interface — it manages your money, moves funds, earns yield on your idle balance, buys eSIMs, sets spending limits, and handles your financial life through conversation. You get a Visa card, a smart savings account, and cross-border payments — all orchestrated by an AI that actually does things for you, not one that just answers questions.

We're building for a global user — not India-first. Our ICP is the digitally native, globally mobile person who earns, spends, and saves across borders. The product is English-first, and the design language, UX patterns, and brand identity need to feel native to a global audience

The Role

You'll be the first and only designer at Nola. This is a zero-to-one role where you own everything visual — product, brand, marketing, and everything in between.

We currently work with a design agency for specific deliverables, but we need someone in-house who lives and breathes the product every day, ships fast, and holds an extremely high bar for craft and taste.

What you'll own:

• Product Design — End-to-end UX for an AI-native financial product. Onboarding flows, chat interfaces, card management, vault screens, transaction views, settings, error states, empty states. You'll work directly with engineering to ship pixels, not just hand off Figma files.
• Brand & Identity — Evolving and maintaining Nola's brand system. Logo, iconography, color, type, illustration style, tone of visual communication. The brand needs to feel warm, confident, and unmistakably premium — globally, not just locally.
• Marketing & Growth Design — Landing pages, social assets, launch videos, waitlist pages, pitch decks, investor materials. If it has pixels, it's yours.
• Design Systems — Building and maintaining a component library that scales. You'll establish the foundations that the product grows on.
• AI-Native UX — This is where it gets interesting. Nola's primary interface is a conversational AI agent. You'll be designing chat widgets, agentic workflows, confirmation patterns, and entirely new interaction paradigms that don't have established playbooks yet. If you've been thinking about what AI-native UI looks like beyond a chat bubble, this is your playground.

Who You Are

• Zero-to-one experience is non-negotiable. You've been the first or sole designer at a startup and shipped real products from blank canvas to live users. No hiding behind processes.
• You've designed for consumers, not dashboards. Your portfolio has B2C products, apps real people choose to open daily, not enterprise tools they're forced to use. Delight and brand perception matter as much as usability.
• You're multi-disciplinary. Product, brand, marketing, motion — you context-switch without losing quality. You don't need a team of specialists behind you.
• Your taste is global, not local. You reference Revolut, Cash App, Wise, Mercury, Arc, Linear — and can articulate why they work. Your portfolio competes internationally, not just within the Indian startup ecosystem.
• You're AI-native. Cursor, Midjourney, Figma AI, Claude — these are core to your workflow, not novelties. You ship at a pace that would be impossible without them, and you know when AI output needs a human hand.
• Your craft bar is extremely high. You obsess over spacing, type hierarchy, and micro-interactions. The gap between "good enough" and "exceptional" is where you live.
• You ship. Weekly sprints. 90% right and iterate. You know when to cut corners and when to go all out.

Qualifications

Must-haves

• 3–5 years of design experience, with meaningful time at early-stage startups or as a solo/first designer
• Demonstrated experience designing consumer-facing products (B2C apps, fintech, social, marketplace, or similar — not primarily B2B/SaaS/enterprise)
• Strong portfolio demonstrating product design, brand work, and marketing design — ideally all three
• Expert in Figma — prototyping, design systems, and auto-layout at scale
• AI-native workflow — you actively use tools like Cursor, Midjourney, Figma AI, Claude, etc. as core parts of how you design and ship, not as experiments

Good-to-haves

• Familiarity with frontend fundamentals (HTML/CSS, React basics) — you don't need to code, but being able to inspect, communicate constraints, and occasionally vibe-code a prototype is a plus
• Experience designing for mobile-first products (iOS specifically)
• Exposure to fintech, crypto, or AI products
• Strong written and verbal English communication

Why Nola

• Backed by real funding and infrastructure. Mira Network has raised $9M and has a live, functioning protocol. This isn't a two-person garage operation — it's a well-funded bet with real technical infrastructure underneath.
• Global product, global ambition. You're designing for the world, not a single market. The problems are harder, the design space is wider, and the impact is bigger.
• Small team, massive ownership. There's no design committee. No layers of approval. You'll present directly to the product lead and ship within the week. Your work will be the thing users see, touch, and judge the product by.
• Competitive compensation. We offer a competitive salary benchmarked to senior IC roles at well-funded Indian startups.
• Fully remote. Work from anywhere. We're a distributed team across India and we communicate asynchronously. We care about output, not office hours.

We are looking for a resilient, empathic Business Development Executive to contribute to the growth of our company. Business development executives are responsible for finding and retaining clients, encouraging extant clients to purchase added products or features, and remaining abreast of changes in consumption.

The ideal candidate is a self-motivated, multi-tasker, and demonstrated team-player. You will be a lead developer responsible for the development of new software products and enhancements to existing products. You should excel in working with large-scale applications and frameworks and have outstanding communication and leadership skills.

Qualifications

• 2-4 years of relevant experience in developing complex enterprise applications using Java, Spring Boot, Message Queues ( like Apache Kafka, RabbitMQ, etc...),Multithreading, and SQL
• Ability to write high-quality code with speed
• Should have experience in building various end to end feature
• Product and startup background is preferred
• Have a good understanding of SDLC, Agile, and design patterns
• Have a working experience with Github and Jira tool
• Should be able to mentor and lead the team in fast-paced environments.
• High growth\Startup mindset
• Open Source contribution\Active Git profile big plus
• Interest in cloud security is a big plus
• Experience developing data center applications in cloud security, backup, and disaster
• recovery, is a big plus
• Knowledge of AWS\Azure is a big plus

Why LiftOff? 

We at LiftOff specialize in product creation, for our main forte lies in helping Entrepreneurs realize their dream. We have helped businesses and entrepreneurs launch more than 70 plus products.

Many on the team are serial entrepreneurs with a history of successful exits.

As a Data Engineer, you will work directly with our founders and alongside our engineers on a variety of software projects covering various languages, frameworks, and application architectures.

About the Role

If you’re driven by the passion to build something great from scratch, a desire to innovate, and a commitment to achieve excellence in your craft, LiftOff is a great place for you.

• Architecture/design / configure the data ingestion pipeline for data received from 3rd party vendors
• Data loading should be configured with ease/flexibility for adding new data sources & also refresh of the previously loaded data
• Design & implement a consumer graph, that provides an efficient means to query the data via email, phone, and address information (using any one of the fields or combination)
• Expose the consumer graph/search capability for consumption by our middleware APIs, which would be shown in the portal
• Design / review the current client-specific data storage, which is kept as a copy of the consumer master data for easier retrieval/query for subsequent usage

Please Note that this is for a Consultant Role

Candidates who are okay with freelancing/Part-time can apply

Job Summary

We are looking for a meticulous Software Development Engineer in Test (SDET) to review and contribute to production software, for someone with advanced programming skills who can create automation tests to augment/assist the manual testing process. As such, the SDET's responsibilities will include both software development and testing tasks, focusing on the testability, robustness, and performance of software.

Essential Duties & Responsibilities

· Understanding the flow of code and how it interacts with different components.

· Understanding project documents, customer demands, and product objectives to create and execute test cases.

· Setting up, maintaining, and performing test automation frameworks on multiple application platforms, such as Mobile, Desktop, and Web, and building test scenarios and acceptance tests.

· Investigating customer problems referred to you by the technical support team, testing bugs, and creating and managing bug reports.

· Handling technical communications and understanding customers' systems.

· Working with deployments teams, resolving level issues for systems, coordinating on product design, and offering inputs on the testability of functional elements and product designs.

· Noting/Communicating all testing actions you have performed in daily and weekly reports.

· Analyzing and disintegrating software systems and coordinating with other teams to enhance the overall design.

· Researching test tools, methodologies, and trends and upgrading existing practices and processes.

· Managing/Owning the final quality on production release.

· Be able to participate as the quality representative on agile development teams with minimal supervision

· Have demonstrated ability to lead testing efforts, able to make their whole team better

· Demonstrate a solid understanding of Greenway’s QA Best Practices and be able to communicate those same practices and principles to QA team members as well as to scrum team members.

Experience

Education

· Bachelor’s degree in Computer Science, Technology or other related field.

· Equivalent work experience may substitute for a degree.

Minimum Qualifications

· Minimum of 2 years of experience with software development applications OR a minimum of 2 years of experience with software testing and quality assurance experience with demonstrated programming knowledge like C# or Java

Skills/Knowledge

· Experience with Jasmine, Karma, Jest, SonarQube is a huge plus

· Demonstrable knowledge of basic programming concepts and patterns

· Hands on experience with Cypress/Protractor/similar tools.

· Hands on strong knowledge of SQL

· Experience in Javascript or Typescript

· Experience in full engineering lifecycle of automation code including code reviews

· Experience in designing, creating, and maintaining automated testing for APIs/Microservices

· Experience in pair programming for unit tests / automation suites

· Experience producing defect reports

· Experience testing interfaces between multiple complex software systems

· Strong communication / organizational skills, analytical ability, and attention to detail required

· Experience working as part of an Agile development team

· Excellent designing and programming skills

· Knowledge of multiple programming languages and process management methodology

· Knowledge of test methodologies and tools

· Exposure to Behavior Driven Development and experience in programming and testing

· The ability to recognize risks and errors in an application

· Excellent verbal and written communication skills

· Solid problem-solving, time management and prioritization skills

· The ability to keep current with the constantly changing technology industry

· A passion for testing, development, and design

· Ability to track issues to a successful resolution

· Ability to adapt in a fast-paced, collaborative and interactive environment in which priorities and deadlines may change