Sr. QA Engineer

Technical Support Engineers (TSE) make up a small, talented, and dedicated global team providing an important part of the Pendo experience through guidance and consulting to customers. We pride ourselves on prompt responses to customers with a range of technical capabilities to ensure the success of customers across our web and mobile features as part of the Engineering organization. While the entire company has a customer focus, TSEs make champions out of our customers and provide a partnership experience through professional and accurate technical support.

Responsibilities:

• Answer customer questions through our support queue
• Be the voice of the customer to the Product and Engineering organizations
• Debug customer issues, create reproducible test cases for developers, and validate fixes and workarounds
• Take ownership of pushing cases to resolution, including working with developers
• Actively contribute to knowledge documentation through the creation of internal and customer-facing documentation
• Qualifications (your experience):
• Highly empathetic and passionate about helping others at a moment's notice
• Applied coding knowledge - Front End or API
• Reliable and active team member
• Ability to learn technical concepts and translate them to business solutions for customers with a thirst for knowledge
• Conversational fluency in spoken and written English
• 2+ years of professional experience in JavaScript, HTML, CSS and/or Mobile Development
• 2+ years of professional experience working in a customer-facing role
• Proven record of continued education/pursuit of knowledge in technology (computer science degree, coding school, other relevant courses)

Role & Responsibilities

Design, develop, and implement high-quality software solutions for payment processing.

Maintain a regular release cadence and manage the product backlog.

Ensure timely and lossless communication across teams.

Uphold engineering values and best practices.

Collaborate with international teams to ensure successful product development and delivery.

Ideal Candidate

A strong technical background in software engineering and architecture, with experience in modern programming language

Ability to work independently with very little direction, taking full ownership of projects.

Identifying blind spots, anticipate challenges, and prioritize work effectively

Exceptional communication and organizational skills.

A Bachelor's degree in Computer Science, Engineering, or equivalent experience.

8+ years of relevant experience preferred

Proficiency using Python, Kafka, Kubernetes, and AWS

Experience with Distributed Task Queues such as Celery and RabbitMQ is preferred.

Experience with RDBMS/SQL is also preferred.

TensorIoT: 

• AWS Advanced Consulting Partner (for ML and GenAI solutions) 
• Pioneers in IoT and Generative AI products. 
• Committed to diversity and inclusion in our teams.  

TensorIoT is an AWS Advanced Consulting Partner. We assist companies to realize the value and efficiency of the AWS ecosystem. From building Proof of Concepts and Product Prototypes to production-ready applications, we analyze complex business problems every day and develop solutions to drive customers’ success.

The founders of TensorIoT, have previously helped build world-class IoT and AI platforms in AWS and Google. Our mission now is to help connect devices and make them intelligent. We firmly believe in the transformative power of smart devices to enhance our quality of life. 

TensorIoT is proud to be an equal opportunity employer. We are committed to diversity and inclusion and encourage people from all backgrounds to apply. We do not tolerate discrimination or harassment of any kind, and make our hiring decisions based solely on qualifications, merit, and business needs at the time.

Job Description 

At the TensorIoT India team, we look forward to bringing on board mid-level and senior Machine Learning Engineers / Data Scientists. In this section, we briefly describe the work role, the minimum and the preferred requirements to qualify for the first round of the selection process. Please note: A candidate needs to qualify at least 4 of the 7 preferred qualifications listed below, to be eligible for the task / first round of interviews. 

What are the kinds of tasks Data Scientists do at TensorIoT?

As a Data Scientist, the kinds of tasks revolve around the data that we have and the business objectives of the client. The tasks generally involve: Studying, understanding, and analyzing datasets; feature engineering, proposing and solutions, evaluating the solution scientifically, and communicating with the client. Implementing ETL pipelines with database/data lake tools. Conduct and present scientific research/experiments within the team and to the client. 

Preferred Requirements: 

• PhD in the domain of Data Science / Machine Learning 
• M.Sc | M.Tech in the domain of Computer Science / Machine Learning 
• Hands-on experience in MLOps (model deployment, maintenance). 
• Some experience working with Generative AI (LLM). 
• Some experience in creating cloud-native technologies, and microservices design. 
• Well-rounded exposure to Computer Vision, Natural Language Processing, and Time-Series Analysis. 
• Hands-on experience with Docker.

Minimum Requirements: 

• Masters + 3 years of work experience in Machine Learning Engineering OR B.Tech (Computer Science or related) + 5 years of work experience in Machine Learning Engineering 1 year of Cloud Experience. 
• Clear concepts of the following:
• - Supervised Learning, Unsupervised Learning, Reinforcement Learning
• - Statistical Modelling, Deep Learning
• - Interpretable Machine Learning
• - Linear Algebra 
• Scientific & Analytical mindset, proactive learning, adaptability to changes. 
• Strong interpersonal and language skills in English, to communicate within the team and with the clients. 

CV Tips: 

Your CV is an integral part of your application process. We would appreciate it if the CV prioritizes the following: 

• Focus: 
• More focus on technical skills relevant to the job description. 
• Less or no focus on your roles and responsibilities as a manager, team lead, etc. 
• Less or no focus on the design aspect of the document. 
• Regarding the projects you completed in your previous companies, 
• Mention the problem statement very briefly. 
• Your role and responsibilities in that project. 
• Technologies & tools used in the project. 
• Always good to mention (if relevant): 
• Scientific papers published, Master Thesis, Bachelor Thesis. 
• Github link, relevant blog articles. 
• Link to LinkedIn profile. 
• Mention skills that are relevant to the job description and you could demonstrate during the interview/tasks in the selection process.  

We appreciate your interest in the company and look forward to your application.

Reviewing resumes and applications

Conducting initial telephonic screenings and scheduling interviews

Managing the end-to-end recruitment process

Sourcing candidates through job portals and social media

Client coordination and relationship management

Negotiation and candidate engagement throughout the hiring cycle

Compensation & Benefits:

Competitive salary based on experience and interview performance

Provident Fund, Medical & Accident Insurance

24 days of annual paid leave

Performance-based incentives

Primary responsibilities:-

1. Ensure timely delivery as per the product plan.
2. Track implementations across clients and ensure delivery in coordination with the technology team.
3. Highlight Risks in the project, to ensure everyone understands overall risk.
4. Manage the QA process, to help iterate on the products.
5. Manage project scope and changes. Ensure that the project is within the scope, schedule, budget and quality standards.
6. Coach, the mentor, motivate and supervise the project team. Delegate tasks and responsibilities to appropriate personnel.
7. Keep detailed track of projects and share updates with clients.
8. Manage client expectations for projects. 9.Customer visits.

Skills required:-

1.Should have good knowledge of any technology
2.Good experience in customer management and people management.
3.Full project life cycle ownership: successful project delivery will include full implementation from initiation to deployment for one major or several minor initiatives simultaneously.

1. Experience with enterprise products is desirable
2. Experience in banking and finance domain is a bonus
3. Client facing experience in the role of a project manager.

Desired experience:-

Should have handled small/medium projects in the past.
Prepare product and project plans in coordination with the sales team and tech team.
Should have worked with technical architects and developers and understands the terminology and concepts.
Proven ability to demonstrate a drive for results and accountability of business needs.
Experience of 3-4 years in Project Management
2-3 years in a PMO role
Overall experience of 6-8 years
Preferably from Product Organisations. But not a must.
Experience in preparing and reviewing Project Plans
Understanding of project governance and process compliances
Deep understanding of Project tracking and Risk assessment.
Experience of preparing Project reports, Snapshots, MIS.
Good team player - as he/she will need to work closely with PMs and other internal teams.