Cypress Auto Tester

Job Title: Lead DevOps Engineer

Experience Required: 8+ years in DevOps or related fields

Employment Type: Full-time

About the Role:

We are seeking a highly skilled and experienced Lead DevOps Engineer. This role will focus on driving the design, implementation, and optimization of our CI/CD pipelines, cloud infrastructure, and operational processes. As a Lead DevOps Engineer, you will play a pivotal role in enhancing the scalability, reliability, and security of our systems while mentoring a team of DevOps engineers to achieve operational excellence.

Key Responsibilities:

Infrastructure Management: Architect, deploy, and maintain scalable, secure, and resilient cloud infrastructure (e.g., AWS, Azure, or GCP).

CI/CD Pipelines: Design and optimize CI/CD pipelines, to improve development velocity and deployment quality.

Automation: Automate repetitive tasks and workflows, such as provisioning cloud resources, configuring servers, managing deployments, and implementing infrastructure as code (IaC) using tools like Terraform, CloudFormation, or Ansible.

Monitoring & Logging: Implement robust monitoring, alerting, and logging systems for enterprise and cloud-native environments using tools like Prometheus, Grafana, ELK Stack, NewRelic or Datadog.

Security: Ensure the infrastructure adheres to security best practices, including vulnerability assessments and incident response processes.

Collaboration: Work closely with development, QA, and IT teams to align DevOps strategies with project goals.

Mentorship: Lead, mentor, and train a team of DevOps engineers to foster growth and technical expertise.

Incident Management: Oversee production system reliability, including root cause analysis and performance tuning.

Required Skills & Qualifications:

Technical Expertise:

Strong proficiency in cloud platforms like AWS, Azure, or GCP.

Advanced knowledge of containerization technologies (e.g., Docker, Kubernetes).

Expertise in IaC tools such as Terraform, CloudFormation, or Pulumi.

Hands-on experience with CI/CD tools, particularly Bitbucket Pipelines, Jenkins, GitLab CI/CD, Github Actions or CircleCI.

Proficiency in scripting languages (e.g., Python, Bash, PowerShell).

Soft Skills:

Excellent communication and leadership skills.

Strong analytical and problem-solving abilities.

Proven ability to manage and lead a team effectively.

Experience:

8+ years of experience in DevOps or Site Reliability Engineering (SRE).

3+ years in a leadership or team lead role, with proven experience managing distributed teams, mentoring team members, and driving cross-functional collaboration.

Strong understanding of microservices, APIs, and serverless architectures.

Nice to Have:

Certifications like AWS Certified Solutions Architect, Kubernetes Administrator, or similar.

Experience with GitOps tools such as ArgoCD or Flux.

Knowledge of compliance standards (e.g., GDPR, SOC 2, ISO 27001).

Perks & Benefits:

Competitive salary and performance bonuses.

Comprehensive health insurance for you and your family.

Professional development opportunities and certifications, including sponsored certifications and access to training programs to help you grow your skills and expertise.

Flexible working hours and remote work options.

Collaborative and inclusive work culture.

Join us to build and scale world-class systems that empower innovation and deliver exceptional user experiences.

About Us

We are a fast-growing startup based in Pune, India, specializing in cutting-edge Data Science and Data Engineering solutions. Our team of dedicated professionals is committed to solving complex data challenges for companies worldwide.

Our Culture We foster a vibrant startup culture that values: • Intellectual curiosity • Continuous learning • Positive work environment • Collaborative problem-solving

Role Overview

We are seeking a versatile and proactive Data Scientist to join our dynamic team. The ideal candidate will possess a blend of technical expertise in modern AI/ML technologies, strategic planning, and effective communication skills. This role demands critical thinking, applying data science and problem-solving skills to a wide variety of real-world problems, adaptability to rapidly evolving technologies, and a strong foundation in both traditional and generative AI principles.

Key Responsibilities • Deliver end-to-end data science projects by applying Machine Learning and Deep Learning fundamentals to solve complex problems • Derive actionable insights for a variety of problems, industries, and domains using statistical analysis and advanced data science techniques • Develop high-quality software solutions with Python and other programming languages. Collaborate with developers to understand and improve existing code or create new solutions • Build and deploy production-ready LLM applications using modern frameworks and best practices • Design and implement RAG (Retrieval-Augmented Generation) architectures using vector databases and embedding models • Perform prompt engineering and optimization to maximize LLM performance for specific use cases • Implement agentic AI systems and multi-agent workflows for complex automation tasks • Evaluate and benchmark LLM outputs using appropriate metrics and testing frameworks • Build sophisticated data pipelines for large-scale data processing using modern orchestration tools • Optimize database performance and create efficient SQL queries • Deploy and monitor ML models in production using MLOps practices and containerization • Practice active listening to understand project requirements and team inputs • Collaborate with clients to translate business requirements into data science solutions • Communicate complex ideas and results clearly to stakeholders through both verbal and written formats • Apply responsible AI principles and ensure ethical considerations in model development • Demonstrate punctuality and a strong sense of ownership in all tasks • Plan strategically and multitask efficiently to meet project deadlines • Employ critical thinking to break down problems and debug effectively • Take initiative and be biased towards action to drive project progress Required Skills Core Programming & ML • Strong Python programming skills with hands-on project experience • Expertise in Machine Learning and Deep Learning algorithms (Random Forests, GBMs, Neural Networks, CNNs, RNNs, Transformers, Ensemble methods) • Proficiency in TensorFlow or PyTorch, along with scikit-learn and pandas • Familiarity with modern ML techniques: Transfer Learning, Few-shot Learning, Self-supervised Learning • Experience with NLP, Computer Vision, or Time Series Analysis Generative AI & LLMs • Hands-on experience with LLM providers (OpenAI, Anthropic Claude, Google Gemini, or open-source models) • Proficiency with GenAI orchestration frameworks (LangChain, LangGraph, LlamaIndex, or DSPy) • Experience building RAG applications with vector databases (Pinecone, Weaviate, Chroma, FAISS) • Strong prompt engineering skills and understanding of prompt optimization techniques • Knowledge of fine-tuning techniques (LoRA, QLoRA) and when to apply them • Understanding of LLM evaluation metrics and benchmarking methodologies • Familiarity with agentic AI architectures and multi-agent systems MLOps & Deployment • Experience with MLOps practices and tools (MLflow, Kubeflow, Weights & Biases) • Proficiency with containerization using Docker and orchestration with Kubernetes • Experience with cloud platforms (AWS, Azure, or GCP) for ML model deployment and monitoring • Understanding of CI/CD pipelines for ML applications • Knowledge of model serving frameworks and API development (FastAPI, Flask, or Django) Data Engineering & Databases • Solid understanding of SQL, including advanced concepts like windowing functions and query optimization • Experience with data pipeline orchestration tools (Airflow, Prefect, or similar) • Familiarity with both SQL and NoSQL databases Soft Skills & Professional Attributes • Strong critical thinking and problem-solving skills • Excellent written and verbal communication abilities • Demonstrated ability to work well in a team and independently • High degree of flexibility and adaptability to rapidly evolving technologies • Understanding of AI safety principles and responsible AI practices

Nice-to-Have • Experience with big data technologies (Spark, Hadoop, Databricks) • Familiarity with BI tools and dashboard creation (Tableau, Power BI, Looker) • Knowledge of graph databases and knowledge graph construction • Experience with real-time streaming data processing • Active participation in data science competitions (Kaggle, DrivenData) • Contributions to open-source AI/ML projects or technical blog • Experience with multimodal AI models (vision-language models, audio processing) • Published research papers or conference presentations

Qualifications • Data Scientist I: 0-2 years of hands-on experience in Data Science projects • Data Scientist II: 2-5 years of hands-on experience in Data Science projects • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related technical field • Demonstrated commitment to continuous learning through courses, certifications, or self-study (especially in GenAI and modern ML techniques)

What We Offer • Competitive salary commensurate with experience • Opportunity to work on diverse, cutting-edge AI/ML projects • Collaborative and innovation-driven work environment • Rapid growth and continuous learning opportunities • Exposure to latest AI technologies and industry best practices

Link for application -  https://forms.gle/9GENVfPeXdtgi7Zj7

• Strong Behavioral Data Analyst Profiles
• Mandatory (Experience 1): Minimum 4+ years of experience in user analytics or behavioural data analysis, focusing on user app and web journeys
• Mandatory (Experience 2): Experience in analyzing clickstream and behavioral data using tools such as Google Analytics, Mixpanel, CleverTap, or Firebase
• Mandatory (Skills 1): Hands-on experience in A/B testing, including hypothesis design, experimentation, and result interpretation.
• Mandatory (Skills 2): Strong analytical ability to identify behavioral patterns, anomalies, funnel drop-offs, and engagement trends from large datasets.
• Mandatory (Skills 3): Hands-on proficiency in SQL, Excel, and data visualization tools such as Tableau or Power BI for dashboard creation and data storytelling.
• Mandatory (Skills 4): Basic understanding of UX principles and customer journey mapping, collaborating effectively with UX/CX teams
• Mandatory (Company): B2C product Companies (fintech, or e-commerce organizations with large user behavior dataset is a plus)
• Mandatory (Note): Don't want data analysis but business/product/user analyst

Company: MyOperator

Location: Noida Sector 2

About Us:

MyOperator is a leading provider in the customer experience space, dedicated to transforming how businesses interact with their customers. We are seeking a strategic and visionary Customer Success Team Manager to spearhead our customer success department and drive impactful, long-term relationships with our valued clients.

Role Overview:

As the Customer Success Team Manager, you will be the strategic leader responsible for overseeing the entire customer success department. Your primary goal will be to design and execute customer success strategies that align with our company's business objectives, ensuring exceptional customer satisfaction and retention. You will lead a high-performing team of customer success professionals, identify process gaps, and implement innovative solutions to enhance the customer journey.

Requirements

Key Responsibilities:

Strategic Development and Execution:

Develop and implement comprehensive customer success strategies that align with MyOperator's business goals.

Set clear customer success targets and KPIs, establish processes and policies, and monitor key metrics to drive team and customer success.

Design and roll out programs that enhance customer experience, boost revenue potential, and minimize churn.

Team Leadership and Management:

Lead, mentor, and manage a team of customer success professionals, setting performance goals and providing ongoing coaching and feedback.

Conduct performance reviews and implement development plans to ensure team effectiveness and professional growth.

Customer Satisfaction and Retention:

Drive initiatives to maximize customer satisfaction and loyalty through proactive engagement, issue resolution, and the development of customer loyalty programs.

Analyze customer feedback and data to identify trends and areas for improvement, ensuring the team effectively addresses customer needs and concerns.

Operational Excellence:

Identify and address process gaps, implementing scalable solutions to improve the customer experience and operational efficiency.

Utilize data-driven insights to track progress towards success goals and inform decision-making.

Cross-Departmental Collaboration:

Collaborate with Sales, Marketing, Product, and other departments to ensure alignment with the company’s overall strategy and enhance the customer journey.

Share customer insights and feedback to drive product improvements and refine marketing strategies.

Recruitment and Training:

Oversee the hiring process for customer success professionals, ensuring the team is equipped to meet revenue goals and customer expectations.

Develop and deliver training programs to enhance team skills and knowledge, ensuring high standards of customer support.

Requirements:

Experience: 4-9 years of experience in customer-facing roles, including customer service, technical support, or sales, with a proven track record of managing and leading teams.

Leadership: Demonstrated experience in leading teams, setting strategic goals, and driving performance metrics.

Technical Proficiency: Strong understanding of technical concepts and the ability to communicate them effectively to both team members and customers.

Communication Skills: Excellent verbal and written communication skills, with the ability to engage effectively with customers, team members, and stakeholders.

Analytical Skills: Proven ability to use data to drive decisions, optimize performance, and identify areas for improvement.

Strategic Thinking: Ability to develop and implement strategies that align with company goals and enhance customer success.

Why Join Us:

At MyOperator, you’ll be at the forefront of customer success innovation, leading a dynamic team and driving meaningful change. We offer a collaborative work environment, opportunities for professional growth, and a commitment to your career development.

Apply Now:

If you’re a strategic leader with a passion for customer success and a track record of achieving results, we’d love to hear from you. Apply today to join our team and make an impact at MyOperator!

#Hiringalerts #Colleges

TECHFIN is Hiring For Sales Role.

A call to Placement Coordinators.

Job Title: Business Development Associate 

Location: Kolkata

Working: Work From Office (WFO )

Industry: Ed-Tech

Roles & Responsibilities :

The sales Representative at Techfin will be responsible for assisting and guiding the right offer/course to the consumers and getting them to purchase the right learning course.

Responsibilities:

1. Understanding the offerings for the students and guiding them throughout the process to choose the right option for them

2. Initiating phone conversations with clients who complete the demo session. 

3. Intensely following up with the prospects and closing the sales within the sales cycle.

4. Diligently communicating and priming the lead through channels like email, and calls.

5.Ensuring accurate and proper record-keeping of call information in electronic and digital format.

6. Achieving the monthly targets while completing all the input metrics targets.

7. Good communication skills. 

8. Good decision making skills. 

9. Good negotiation skills. 

10. Boost growth and sales. 

Important Criteria -

 Willing to work 6 days a week.

 Willing to work in a Start-up (High Intensive learning and Rapid 

 Growing atmosphere)

Job Location – #Kolkata

Immediate Joining

• Product Manager leads multiple inter-dependent work-streams, each with massive business potential and scale, immediately:
• Complete end-to-end product design for web-based Ed-Tech Platform with blockbuster in-market results as we go from MVP to scaled product.
• Lead complexity of creating a platform that should be absolutely delightful for kids 6-14 while delivering perceived academic value to parents.
• Have a global aesthetic—the product will expand globally in 3 months time and aesthetic should transcend cultural boundaries to deliver a true global experience.
• Have strong detail orientation—the product will have inter-dependent flows on both front-end as well as teacher/admin/ops back-end.

• 7-10 years of experience with at least 6 years of experience as a Product Manager
• Scaled consumer product experience
• Building a product from scratch and grown to 2x or 3x.
• Good to have candidates from IIT/NIT/BITS Pilani and Top colleges

• Bachelor/Diploma in Fine Arts or Multimedia Institution.
• Experience of 6+ years as Sr. Visualizer or Art Director in Creative/Ad Agency or Design Firm
• Hands-on experience in CorelDraw, Photoshop, Illustrator, InDesign.
• Able to understand the brief of the client & transform them into tangible designs.
• Visual thinker & Ideator, who can come up with concepts and ideas in a very creative and innovative manner.
• Experience in Print & Digital media
• Passed Commercial Art from a reputed institute
• Comfortable on both Windows and Mac.