Lead Quality Assurance (QA) Engineer

About Product :

Instanodes:

Instanodes is a leading provider of Web3 infrastructure, offering robust and scalable solutions for blockchain developers and businesses. Our mission is to simplify the complexities of blockchain technology, enabling our clients to focus on building innovative and disruptive applications. We are passionate about empowering the decentralized future and are seeking a talented and driven Product Manager to join our team.

About the Role:

We are looking for an experienced and entrepreneurial Product Manager to lead the growth and development of Instanodes. You will be responsible for the overall product strategy, roadmap, and execution, with a keen focus on driving P&L, securing fundraises, and shaping the long-term vision of the product. You will work closely with engineering, marketing, sales, and leadership to ensure Instanodes remains at the forefront of the Web3 infrastructure landscape.

Responsibilities:

• Product Strategy & Roadmap: Define and champion the product vision, strategy, and roadmap for Instanodes, aligning with the company's overall goals and objectives.
• Market Analysis & Competitive Intelligence: Conduct in-depth market research, analyze competitor offerings (Zeeve, Alchemy, Quicknode, etc.), and identify opportunities for differentiation and growth.
• User Research & Customer Understanding: Deeply understand the needs and pain points of Web3 developers and businesses through user research, customer interviews, and data analysis.
• Product Development & Execution: Translate user needs into detailed product specifications and user stories, prioritize features, and manage the product backlog. Collaborate closely with engineering to ensure timely and high-quality product delivery.
• Go-to-Market Strategy & Launch Planning: Develop and execute go-to-market strategies for new product features and releases.
• Growth & Metrics: Define and track key performance indicators (KPIs) to measure product success. Analyze product usage data to identify areas for improvement and growth.
• P&L Management: Own the P&L for Instanodes, focusing on revenue generation, cost optimization, and profitability.
• Fundraising: Support fundraising efforts by developing compelling investment materials, presenting to investors, and contributing to due diligence processes.
• Team Leadership & Collaboration: Foster a collaborative and high-performing product team environment. Mentor and guide junior product team members.

Qualifications:

• 5+ years of experience in product management, with a focus on B2B SaaS or infrastructure products.
• Strong understanding of blockchain technology, Web3 concepts, and the decentralized ecosystem.
• Familiarity with the competitive landscape of Web3 infrastructure providers (Zeeve, Alchemy, Quicknode, etc.).
• Proven track record of successfully launching and growing products.
• Excellent analytical and problem-solving skills.
• Strong communication, interpersonal, and presentation skills.
• Experience with agile development methodologies.
• Experience with P&L management and fundraising is a plus.

We are seeking an experienced AI Architect to design, build, and scale production-ready AI voice conversation agents deployed locally (on-prem / edge / private cloud) and optimized for GPU-accelerated, high-throughput environments.

You will own the end-to-end architecture of real-time voice systems, including speech recognition, LLM orchestration, dialog management, speech synthesis, and low-latency streaming pipelines—designed for reliability, scalability, and cost efficiency.

This role is highly hands-on and strategic, bridging research, engineering, and production infrastructure.

Key Responsibilities

Architecture & System Design

• Design low-latency, real-time voice agent architectures for local/on-prem deployment
• Define scalable architectures for ASR → LLM → TTS pipelines
• Optimize systems for GPU utilization, concurrency, and throughput
• Architect fault-tolerant, production-grade voice systems (HA, monitoring, recovery)

Voice & Conversational AI

• Design and integrate:
• Automatic Speech Recognition (ASR)
• Natural Language Understanding / LLMs
• Dialogue management & conversation state
• Text-to-Speech (TTS)
• Build streaming voice pipelines with sub-second response times
• Enable multi-turn, interruptible, natural conversations

Model & Inference Engineering

• Deploy and optimize local LLMs and speech models (quantization, batching, caching)
• Select and fine-tune open-source models for voice use cases
• Implement efficient inference using TensorRT, ONNX, CUDA, vLLM, Triton, or similar

Infrastructure & Production

• Design GPU-based inference clusters (bare metal or Kubernetes)
• Implement autoscaling, load balancing, and GPU scheduling
• Establish monitoring, logging, and performance metrics for voice agents
• Ensure security, privacy, and data isolation for local deployments

Leadership & Collaboration

• Set architectural standards and best practices
• Mentor ML and platform engineers
• Collaborate with product, infra, and applied research teams
• Drive decisions from prototype → production → scale

Required Qualifications

Technical Skills

• 7+ years in software / ML systems engineering
• 3+ years designing production AI systems
• Strong experience with real-time voice or conversational AI systems
• Deep understanding of LLMs, ASR, and TTS pipelines
• Hands-on experience with GPU inference optimization
• Strong Python and/or C++ background
• Experience with Linux, Docker, Kubernetes

AI & ML Expertise

• Experience deploying open-source LLMs locally
• Knowledge of model optimization:
• Quantization
• Batching
• Streaming inference
• Familiarity with voice models (e.g., Whisper-like ASR, neural TTS)

Systems & Scaling

• Experience with high-QPS, low-latency systems
• Knowledge of distributed systems and microservices
• Understanding of edge or on-prem AI deployments

Preferred Qualifications

• Experience building AI voice agents or call automation systems
• Background in speech processing or audio ML
• Experience with telephony, WebRTC, SIP, or streaming audio
• Familiarity with Triton Inference Server / vLLM
• Prior experience as Tech Lead or Principal Engineer

What We Offer

• Opportunity to architect state-of-the-art AI voice systems
• Work on real-world, high-scale production deployments
• Competitive compensation and equity (if applicable)
• High ownership and technical influence
• Collaboration with top-tier AI and infrastructure talent

MUST-HAVES: 

• Machine Learning + Aws + (EKS OR ECS OR Kubernetes) + (Redshift AND Glue) + Sage maker
• Notice period - 0 to 15 days only 
• Hybrid work mode- 3 days office, 2 days at home

SKILLS: AWS, AWS CLOUD, AMAZON REDSHIFT, EKS

ADDITIONAL GUIDELINES:

• Interview process: - 2 Technical round + 1 Client round
• 3 days in office, Hybrid model. 

CORE RESPONSIBILITIES:

• The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency
• Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.
• Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.
• Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.
• System Integration: Integrate models into existing systems and workflows.
• Model Deployment: Deploy models to production environments and monitor performance.
• Collaboration: Work closely with data scientists, software engineers, and other stakeholders.
• Continuous Improvement: Identify areas for improvement in model performance and systems.

SKILLS:

• Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).
• Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaos search logs, etc. for troubleshooting; Other tech touch points are Scylla DB (like BigTable), OpenSearch, Neo4J graph
• Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.
• Knowledge of model monitoring and performance evaluation.

REQUIRED EXPERIENCE:

• Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sage maker pipeline with ability to analyze gaps and recommend/implement improvements
• AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services in ML workflows
• AWS data: Redshift, Glue
• Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)

JOB DETAILS:

* Job Title: Lead UX designer

* Industry: Banking and Finance

* Salary: Best in Industry

* Experience: 9 to 13 years

* Location: Pune, Maharashtra

Criteria

Strong UX Design / Product Design profile

Minimum 9+ YOE in UX / Product Design

Strong portfolio of UX / Product Design works,

Team handling of UX designers and project management

Design Education (BDes, MDes, BFA, MFA or Similar Design Degrees)

Should NOT have more than 12 Years of Total Experience

Role & Responsibilities

• Leverage one’s Customer Experience (CX) design skills and deliver an engaging customer-focused digital experience across company assets like website, customer service portal.
• Deliver a human-centered design to create customer journeys, identify pain points and design solutions that deliver superior digital customer experience.
• Translate business requirements into compelling UIUX solutions and develop end-to-end customer journey maps by applying principles of customer-centered design.
• Analyse and map consumer behaviour on all assets using digital experience analytics platforms like Content square, Smartlook, Glassbox etc.
• Hands-on experience on design tools like Sketch, Figma, Zeplin, Invision, Adobe XD and the likes is a must.
• Create customer journeys maps basis the user behaviour analysis, customer segments and personas.
• Conduct usability testing of customer journeys with a tools like UsabiltyHub, UserZoom and objectively evaluate and refine the concepts of UIUX based on the output of the test.
• Own and deliver the KPIs for a zero-error environment, increased journey completion rate and high NPS.
• Work with cross-functional teams to directly influence customer roadmaps that deliver best-in-class digital experiences.
• Build a partner ecosystem to deliver the CX objectives for the company.
• Continuously assess customer experience trends and market landscape to generate most up-to-date insights, findings and the best customer-centric UIUX practices across platforms.
• Ideate and build a comprehensive library of interactive prototypes to define the micro interactions and micro animations.

Ideal Candidate

• Bachelor’s degree in design or a related field
• Working knowledge of UX design principles
• Knowledge of Wireframing/prototyping tools
• Good knowledge of UX design tools such as Figma, Axure, or InVision
• Experience with user testing and usability analysis

Mission Statement for the Role: Drive revenue growth by achieving weekly targets through consultative inside sales techniques, focusing on high-intent nurtured leads without cold-calling.

Roles & Responsibilities: The Business Development Consultant engages with parents or adult learners post-demonstration classes, guiding them through the decision-making process and facilitating their enrollment in the program.

Key responsibilities include:

1. Inviting parents or adult learners to participate in personalized video counseling sessions.

2. Conducting detailed video counseling sessions, addressing concerns, and guiding decision-makers towards program enrollment.

3. Managing the entire sales lifecycle, from initial engagement to final conversion and enrollment.

Differentiators of Sales at PlanetSpark:

1. High-Intent Leads: Access to leads who have already experienced a demo class.

2. Comprehensive Training: Receive extensive instructor-led and on-the-job training.

3. Career Progression: Opportunities for rapid career growth and advancement in designation and compensation.

4. Recognition and Rewards: Outstanding performers are acknowledged through weekly rewards ceremonies.

Career Path:

Business Development Consultant -> Senior Business Development Consultant-> Assistant Manager-> Manager -> Senior Manager -> Associate Director -> Associate Vice President -> Vice President.

Key Skills for Success:

1. Excellent communication, interpersonal, presentation, and problem-solving abilities.

2. Proactive attitude with a focus on achieving targets.

3. Strong influencing skills and adaptability.

4. Performance-driven mindset with adherence to organizational guidelines.

Qualifications: We welcome candidates with a passion for sales and career growth, regardless of specific degrees or GPAs. Candidates must be located in Gurgaon or willing to relocate.

This is an office-based role requiring availability six days a week, with Tuesday off. Saturdays and Sundays are pivotal for conducting counseling sessions.

Join us at PlanetSpark, where ambition meets opportunity, and drive your sales career to new heights.

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Provide information of Products / Services / Offers to customers.

Handling inbound calls & outbound calls

Understand customer need

Solve customers query over the phone

• 8+ years of hands-on experience in enterprise software development using Java, and J2EE Framework. 
• Experience with http://react.js/">React.js, AngularJS, strong knowledge of JavaScript, CSS, HTML5
• Passion for building enterprise web applications leveraging modern architecture principles, strong prior experience as a full stack developer. 
• Expertise with CSS and building responsive pages, with a keen eye for UI design and usability
• Experience with web-accessibility/WCAG standards
• Experience working collaboratively with a globally distributed team.
• Experience with agile methodologies and good exposure to DevOps/CICD models.
• Passion for keeping up with new trends and developments in the programming community and is eager to find ways to incorporate these new ideas into our codebase.

What roles and responsibilities will be performed by the selected candidate?

§ Should be able to handle all ETL Datawarehouse testing phases (Azure environment).

§ Should be able to test complex SQL scripts including Spark SQL

§ Should be able to apply business and functional knowledge including testing standards, guidelines, and testing

methodology to meet the teams overall test objectives.

§ Should be able to identify business requirements including data sources, target systems, transformations

required, business rules required to be applied and existing data model from the mapping document.

§ Define Testing strategy, Test approach, Test suites and Test cases.

§ Run, test and debug ETL jobs (Azure environment).

§ Identify and track defects to closure and keep defect log.

§ Should be able to produce test result documentation that are clear and concise along with documentation of

tests performed, test coverage, test risks, assumptions, issues, and dependencies.

§ Bringing in industry best practices in ETL Testing.

§ Should be able to test complex SQL scripts including Spark SQL

§ Should be able to test pandas data frame ETL transformations.

What is the expectation from the candidate’s current role/profile?

§ 2-5 years of experience in core ETL testing expertise with strong exposure to agile methodology.

§ Ability to apply business and functional knowledge, to define testing strategy, test approach and test case

design.

§ Should have excellent SQL skills

§ Should have worked on ETL project involving multiple layers/stages of database processing with various kinds

of sources/targets like files, Oracle, SQL Server, Webservices. Delta Lake etc…

§ Should have at least intermediate level knowledge of python scripting and pandas (Python data analysis

library).

§ Knowledge of Software Development Lifecycle including the functional and non-functional test phases

§ Good interpersonal, communication and organizational skills

§ The ability to work and team effectively with team and management personnel across