QA Lead

POSITION: Sr. QA Engineer  

We are looking for a seasoned and results-driven Senior QA Engineer with 7 to 8 years of experience in Manual and Automation Testing. The candidate should have deep expertise in QA processes, strong automation skills using Python or equivalent, and the ability to lead quality initiatives for our core product suite. You won't just be finding bugs — you will be building a resilient quality ecosystem that leverages modern tools. 

What You’ll Be Doing:  

● Understand business requirements and convert them into test scenarios and test cases 

● Perform Manual Testing including Functional, Regression, Integration, & System Testing 

● Develop, maintain, and execute Automation Scripts using Python 

● Identify, report, and track defects using defect management tools 

● Work closely with Developers, Product Managers, and QA team members 

● Lead requirement analysis, test planning, and test case reviews 

● Contribute to improving QA processes and automation coverage 

● Participate in sprint planning, retrospectives, and cross-functional reviews 

● Identify, report, and track defects using defect management tools; manage triage and resolution with development teams 

● Catch edge cases before they become production issues 

● Co-ordination is release processes 

Automation Skills:  

● Maintain, and extend robust Automation Frameworks ( PyTest / Selenium) for UI and backend services as well as design patterns, and CI/CD integration 

● Monitor nightly automation runs, troubleshoot defects 

● Ability to design, extend, debug, and maintain test frameworks independently 

API and Database Testing:  

● Perform contract testing and functional validation of REST APIs using Postman or similar tools. 

● Write complex SQL queries to validate data pipelines, migrations 

Qualifications:  

● Strong understanding of Software Testing concepts 

● Experience in writing Test Cases and Test Scenarios 

● Experience in Defect Tracking tools (JIRA, etc.) 

● Experience in CI/CD tools (Jenkins, GitHub Actions, GitLab CI) 

● Experience in Agile / Scrum methodology 

● Strong analytical and problem-solving skills with a 'break-it' mentality 

● Good communication skills — ability to articulate quality risks to non-technical stakeholders 

● Self-motivated, quick learner, and proactive in driving quality culture 

● Strong team player with empathy to help developers 'fix-it' 

● Exposure to Agentic AI testing frameworks 

The Role

As a DevOps Engineer at Blitzy's Pune headquarters, you'll build and operate the infrastructure that powers our AI agents and the applications they produce. You'll work at the intersection of cloud infrastructure, developer tooling, and AI-native systems — designing the pipelines, clusters, and automation that allow Blitzy to ship production-ready software at machine speed. This is a hands-on, high-ownership role for an engineer who moves fast, automates everything, and cares deeply about developer experience and system reliability.

What Success Looks Like

• Kubernetes clusters are running reliably at scale, with clear deployment standards, Helm-managed releases, and minimal manual intervention required from engineering teams.
• CI/CD pipelines are fast, consistent, and trusted — developers ship confidently knowing the automation handles the rest.
• Observability is comprehensive: alerts are actionable, dashboards are meaningful, and incidents are resolved faster because the right data is always available.
• Infrastructure provisioning is fully automated — no snowflake environments, no manual setup, everything reproducible through code.
• AI agent orchestration infrastructure is stable and scalable, directly enabling Blitzy's core product to deliver for enterprise customers.
• Engineering teams notice the difference — developer productivity is measurably higher and infrastructure is no longer a bottleneck to shipping.

Areas of Ownership

• Build and manage Kubernetes clusters supporting AI agent workloads and application deployment at scale.
• Design, implement, and maintain CI/CD pipelines for application and AI service delivery — ensuring speed, reliability, and repeatability.
• Automate infrastructure provisioning and dynamic scaling using Python scripts and Terraform IaC.
• Deploy and manage applications using Helm charts; own packaging standards and release automation.
• Build and maintain comprehensive observability stacks — alerting, distributed tracing, metrics, and logging (e.g., Prometheus, Grafana, Datadog, OpenTelemetry).
• Monitor and maintain production services and APIs; own incident response and drive blameless postmortems.
• Build dedicated infrastructure for AI agent orchestration and management, enabling Blitzy's core autonomous development capabilities.
• Collaborate with engineering teams on deployment strategies and continuously improve developer experience through tooling and automation.

Required Experience

• 5–8 years of DevOps, infrastructure, or platform engineering experience.
• Python proficiency for scripting, automation, and infrastructure tooling.
• Deep Kubernetes expertise — cluster management, workload deployment, scaling, and troubleshooting.
• Hands-on Helm experience for application packaging and release management.
• Proven ability to design and implement CI/CD pipelines across complex, multi-service environments.
• Practical experience with at least one major cloud platform (AWS, GCP, or Azure).
• Terraform proficiency for infrastructure-as-code provisioning and state management.
• Strong Linux administration and containerization fundamentals (Docker, OCI).

What Makes You Stand Out

• CKA (Certified Kubernetes Administrator) certification.
• Familiarity with MLOps tooling such as MLflow, Kubeflow, or similar platforms for AI/ML workload management.
• Experience with microservices architecture and distributed systems design.
• Knowledge of API gateways and service mesh technologies (Istio, Linkerd, or equivalent).
• Prior experience in a high-growth AI or software startup where you moved fast and owned broadly.
• Track record of meaningfully improving developer productivity through platform and tooling investments.

What Makes This Role Different

Most DevOps roles have you maintaining existing systems. At Blitzy, you're building the infrastructure layer for a platform that autonomously writes enterprise software — a genuinely new category of product. You'll work on AI agent orchestration, Kubernetes at scale, and developer tooling that is directly responsible for how fast Blitzy delivers value to Fortune 500 customers. As an early member of the Pune engineering team, you'll have outsized influence over our infrastructure culture and technical direction. High performers are eligible for company equity — giving you real ownership in what you build.

Role - Manager Programmatic

About our client :

Our Client is a digital- first global performance marketing agency& world's largest media investment company which is a part of WPP. They a global digital transformation agency with 1200 employees across 21 nations. Our team of experts support clients in programmatic, social, paid search, analytics, technology, organic search, affiliate marketing, e-commerce and across traditional channels.

Locations - Mumbai, Pune & Chennai

What your day job looks like :

- Manage a team of programmatic professionals with expertise in programmatic media

- Maintain positive client relationships, expectations, and communications

- Identify and solve client risks before they escalate to issues

- Oversee the cross-functional campaign development with internal SEO/Search/Content/Social teams as well as sister media agencies

- Build on existing level of programmatic expertise and develop a reputation for innovation and efficiency internally

- Ensure the integration of programmatic into the overall communications strategy

- Support and lead the strategic development and execution of programmatic campaigns

- Foster teamwork and create a constructive work environment

- Maintain a high level of employee commitment

- Provide team leadership that rewards creativity

- Demonstrate thought leadership for clients and the industry

- Educate clients on the importance of programmatic in the overall marketing mix

- Understand clients' business and generate new ideas to enhance client performance

- Provide effective analysis to support marketing recommendations.

What you'll bring:

- 4+ years of aligned industry experience, preferably within an agency

- Experience executing on Programmatic platforms (DV360, The Trade Desk, App Nexus (Xandr Invest), Amazon, etc.)

- Experience with analytical tools is an asset (Google Analytics, PMP Partners, Ad Servers, DMPs, etc.)

- Demonstrated strong client relationship responsibility

- Proven account management experience, including analytical and creative problem-solving skills

- Ability to interact in a professional manner and communicate with clients over calls

- Proven ability to lead successful campaigns

- Superior verbal and written skills with outstanding presentation ability

- High level of attention to detail and the ability to handle and prioritize multiple accounts

- High level of technical proficiency in Microsoft Office, specifically Excel and PowerPoint

- Come with experience of handling 6-7 direct reporters

Product Operations Analyst

Company:

It's a Trusted Exclusive Singles Club. We are an Applied AI start-up using technology to make online dating/matchmaking more efficient and healthier, given dating app fatigue/burnout is at an all-time high. Our founders are experienced alumni of Google, Zomato, Wharton, and IIT and believe high-performing companies can be created with a culture of respect & empathy. Come work with us in this exciting, fun space to combine a job with doing social good!

Job Description:

In the initial phase, the candidate will play a matchmaker to identify and connect individuals seeking romantic relationships. Responsibilities include conducting interviews, matching client profiles, arranging meetings and providing feedback.

As we automate the process, responsibilities will evolve to codifying tribal knowledge gained and human judgment that our AI algorithm can use, suggesting product & service improvement based on user interactions, and protecting the brand keeping the Club clean/free from bad actors.

Requirements:

●     Outstanding communication, empathy and interpersonal skills to connect with diverse clients and cater to their preferences and needs

●     Exceptional organizational and time-management skills to manage multiple clients simultaneously. A high bar for excellence

●      Working knowledge of Excel

●     High degree of integrity. Ability to maintain confidentiality and professionalism in all client interactions

●      Bachelor's degree in psychology, sociology, or a related field is preferred, but not required. Relevant work experience in client management/customer care of 1-2 years is valued

We're seeking a skilled Front-end Lead Engineer to lead an ongoing production-ready enterprise project and contribute to code while leading the frontend team. If you're adept at creating user-friendly products and eager to work with cutting-edge tech in a growing company, we want to hear from you. We value an entrepreneurial mindset and passion for technology in our team members.

Experience: 5+ Year

Working Time: 12.30 PM to 9.30 PM

• Collaborate closely with cross-functional teams, including design, engineering & QA, to deliver high-quality solutions.
• Participate in planning and decision-making processes related to technical architecture, design, and implementation.
• Lead and mentor the Front-end (FE) team, providing technical guidance, coaching, and support.
• Oversee the deployment of frontend applications, coordinating with teams as necessary.
• Drive agile development practices within the FE team, ensuring efficient project delivery.

Requirements

• Bachelor's degree in Computer Science or related field.
• Minimum of 3 years of experience in leading the front-end development team.
• Proven experience in frontend development, with expertise in ReactJS, NextJS, MaterialUI, and React Query.
• Proficient in TypeScript development, skilled in building type-safe applications and leveraging TypeScript configurations for enhanced development efficiency.
• Proven leadership skills, with the ability to lead and mentor a diverse team.
• Excellent communication and interpersonal skills, with the ability to collaborate with cross-functional teams.

Benefits

• Gain real-world experience in corporate functioning.
• Learn to collaborate with diverse teams and meet deadlines in a professional environment.
• Access various learning and development programs to explore your passion.
• Work in a fast-paced, rapidly expanding tech team undergoing a revamp, with exposure to advanced technology and tools relevant to your role

Job Responsibilities:

• Apply your knowledge of ML and statistics to conceptualise, experiment, develop & deploy machine learning & deep learning systems.
• Understanding the business objectives & defining the right target metrics to track performance & progress.
• Defining & building datasets with the appropriate representation techniques for learning.
• Training & tuning models. Running evaluation & test experiments on the models.
• Build ML pipelines end to end. (Everything MLOps.)
• Building pipelines for the various stages.
• Deploying models.
• Troubleshooting issues with models in production.
• Reporting results of model performance in production.
• Retraining, performance logging & maintenance.
• Help the business with insights for better decision-making. You will build many predictive models for internal business operations
  you will derive insights from the trained models & data to help the product & business teams make better decisions.

Requirements:

• 2+ years of work experience as an ML engineer or Data Scientist with a Bachelors Degree in Computer science or related field
• Theoretical & practical knowledge of Machine Learning, Deep Learning and Statistical methods. (NLP Tasks, Recommender Systems, Predictive Modelling etc)
• Since Pepper is a content company, you will work on many interesting text based problems. Solid understanding of Natural Language Processing techniques with Deep Learning is a must for this role.
• Familiarity with the popular NLP applications and text representation architectures & techniques: text classification, machine translation, named entity recognition, summarisation, question answering, zero-shot learning etc.  Bag of Words, TF-IDF, Word2vec, GloVe, BERT, ELMo, GPT etc.
• Experience with ML frameworks (like Tensorflow, Keras, PyTorch) & libraries like Sklearn.
• Experience with ML infrastructure & shipping models.
• Excellent programming & algorithmic skills. Good understanding of Data Structures and algorithms (fluent in at least one object oriented programming language). Proficiency in Python is a must.
• Strong understanding of database systems & schema design. Proficient in SQL

Please let us know if you are interested in the above opening and if interested please let us know your

Current CTC :

Expected CTC :

Notice Period :

Relevant experience in  Machine Learning :

Relevant experience in Deep Learning:

Relevant experience in NLP Applications:

Regards

Ashwini

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