Content Specialist & Digital Marketing Manager

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 

Position Overview:

We are seeking a highly motivated and analytical individual to join our team as a Market Research and

Competitive Intelligence Analyst, specializing in enterprise technologies and telecom markets. As an integral

member of our organization, you will be responsible for gathering, analyzing, and interpreting data to provide

strategic insights and recommendations to support our business decisions and competitive positioning. This role

requires a deep understanding of the enterprise technologies and telecom sectors, as well as strong research,

analytical, and communication skills

 Job Description:

o Conduct comprehensive market research:

 Identify and analyze market trends, industry developments, and emerging technologies in the

enterprise technologies and telecom markets.

 Gather data on market size, market share, growth rates, customer needs, and competitive landscapes.

 Monitor regulatory changes, industry standards, and policy developments impacting the sector.

 Utilize primary and secondary research methods to collect relevant data, including surveys, interviews,

and data analysis tools.

o Perform competitive intelligence analysis:

 Identify key competitors in the enterprise technologies and telecom markets and track their activities,

strategies, and performance.

 Analyze competitors' product offerings, pricing strategies, market positioning, and go-to-market

approaches.

 Evaluate strengths, weaknesses, opportunities, and threats (SWOT) of competitors.

 Conduct benchmarking analysis to assess our company's performance against competitors and identify.

areas for improvement.

o Generate strategic insights and recommendations:

 Synthesize market and competitive data to extract meaningful insights and actionable

recommendations.

 Collaborate with cross-functional teams to provide strategic guidance for product development,

marketing campaigns, and sales strategies.

 Present findings, reports, and recommendations to senior management and stakeholders in a clear and

concise manner.

 Stay abreast of industry trends, best practices, and technological advancements to inform strategic

decision-making.

o Maintain industry knowledge and expertise:

 Continuously update knowledge of enterprise technologies and telecom markets through research,

industry events, and networking.

 Build relationships with industry experts, analysts, and vendors to gain insights and access to relevant

information.

 Act as an internal subject matter expert, providing guidance and training to colleagues on market.

research and competitive intelligence methodologies.

 Team Management:

 Qualifications and Skills/ Experience, Expertise:

o Previous Experience in a Related Field Preferred; Proven work experience as a Market Research Analyst,

o bachelor's degree in business, marketing, economics, or a related field. A master's degree is preferred.

o Proven experience in market research, competitive intelligence, or related fields within the enterprise

technologies and telecom sectors.

o In-depth knowledge of enterprise technologies, such as cloud computing, cybersecurity, artificial intelligence,

and data analytics.

o Familiarity with telecom services, network infrastructure, wireless technologies, and telecommunications

regulations.

o Proficient in gathering, analyzing, and interpreting quantitative and qualitative data from various sources.

o Strong analytical and critical thinking skills, with the ability to translate data into actionable insights and

recommendations.

o Excellent written and verbal communication skills, including the ability to present complex information in a clear

and concise manner.

o Proficiency in using market research tools, data analysis software, and Microsoft Office suite.

o Detail-oriented with strong organizational and project management skills.

o Ability to work independently, prioritize tasks, and meet deadlines in a fast-paced environment.

o Strong business acumen and a keen interest in staying up to date with industry trends and developments

o Strong interpersonal skills and an ability work as part of a team, both physical and virtual

o Ability and willingness to work on short deadlines; Strong organizational skills with a problem-solving attitude;

Strong listening and storytelling skills.

o Enthusiasm for working in a high profile, fast-paced startup culture.

o Responsible and self-motivated; Strong analysis skills; Ability to learn new technologies; Ability to multitask and

prioritize between competing activities

o Expertise in MS office - Excel, Word & Power Point documents.

 Key Deliverables: Key Performance Indicators (KPIs) and Key Result Areas (KRAs) for the Market Research and

Competitive Intelligence Analyst. These KPIs and KRAs are designed to evaluate the performance and contribution of the Market Research and Competitive Intelligence Analyst in enterprise technologies and telecom markets. They focus on areas such as market share analysis, competitor analysis, customer insights, strategic recommendations, research accuracy, industry expertise, cross-functional collaboration, and process improvement.

o KPI: Market Share Analysis

 Measure and track changes in market share for our company and key competitors.

 Assess the impact of market share changes on business performance.

 Develop strategies to improve or maintain market share in target markets.

o KPI: Competitor Analysis

 Monitor and analyze competitor activities, including product launches, marketing campaigns, and

pricing strategies.

 Provide regular updates on competitor strengths, weaknesses, and market positioning.

 Identify opportunities and threats in the competitive landscape and propose counterstrategies.

o KPI: Customer Insights

 Gather customer feedback and conduct surveys to understand customer preferences, needs, and

satisfaction levels.

 Translate customer insights into actionable recommendations for product development, marketing,

and customer service improvements.

 Track customer satisfaction scores and measure the impact of initiatives on customer loyalty and

retention.

o KPI: Strategic Recommendations

 Provide timely and valuable strategic recommendations based on market research and competitive

intelligence.

 Evaluate the potential impact of strategic initiatives on business performance and market positioning.

 Monitor the implementation of strategic recommendations and measure their effectiveness.

o KPI: Research Accuracy and Timeliness

 Ensure accuracy and reliability of research data and information.

 Adhere to research methodologies, data collection processes, and quality standards.

 Deliver research reports and insights within defined timelines to support decision-making processes.

o KPI: Industry Knowledge and Expertise

 Stay updated with industry trends, emerging technologies, and regulatory changes in enterprise.

technologies and telecom markets.

 Participate in industry events, webinars, and conferences to expand knowledge and network with

industry professionals.

 Share industry insights and best practices with the team and contribute to thought leadership

activities.

o KRA: Cross-functional Collaboration

 Collaborate with product management, sales, and marketing teams to align market research findings.

with business strategies.

 Provide support and guidance for product development, marketing campaigns, and sales initiatives

based on market insights.

 Foster a culture of knowledge sharing and collaboration across departments.

o KRA: Process Improvement

 Identify opportunities to streamline and improve market research and competitive intelligence.

processes.

 Implement best practices, tools, and technologies to enhance efficiency and effectiveness.

 Measure the impact of process improvements on the quality and timeliness of deliverables.

Education: Any graduate, with digital certifications (a must)

ML Engineer

HackerPulse is a new and growing company. We help software engineers showcase their skills using AI powered profiles. As a Machine Learning Engineer, you will have the opportunity to contribute to the development and implementation of advanced Machine Learning (ML) and Natural Language Processing (NLP) solutions. You will play a crucial role in taking the innovative work done by our research team and turning it into practical solutions for production deployment. By applying to this job you agree to receive communication from us.

*Make sure to fill out the link below*

To speed up the hiring process, kindly complete the following link: https://airtable.com/appcWHN5MIs3DJEj9/shriREagoEMhlfw84

Responsibilities:

1. Contribute to the development of software and solutions, emphasizing ML/NLP as a key component, to productize research goals and deployable services.
2. Collaborate closely with the frontend team and research team to integrate machine learning models into deployable services.
3. Utilize and develop state-of-the-art algorithms and models for NLP/ML, ensuring they align with the product and research objectives.
4. Perform thorough analysis to improve existing models, ensuring their efficiency and effectiveness in real-world applications.
5. Engage in data engineering tasks to clean, validate, and preprocess data for uniformity and accuracy, supporting the development of robust ML models.
6. Stay abreast of new developments in research and engineering in NLP and related fields, incorporating relevant advancements into the product development process.
7. Actively participate in agile development methodologies within dynamic research and engineering teams, adapting to evolving project requirements.
8. Collaborate effectively within cross-functional teams, fostering open communication and cooperation between research, development, and frontend teams.
9. Actively contribute to building an open, transparent, and collaborative engineering culture within the organization.
10. Demonstrate strong software engineering skills to ensure the reliability, scalability, and maintainability of deployable ML services.
11. Take ownership of the end-to-end deployment process, including the deployment of ML models to production environments.
12. Work on continuous improvement of deployment processes and contribute to building a seamless pipeline for deploying and monitoring ML models in real-world applications.

Qualifications:

1. Degree in Computer Science or related discipline or equivalent practical experience, with a strong emphasis on machine learning and natural language processing.
2. Proven experience and in-depth knowledge of ML techniques, with a focus on implementing deep-learning approaches for NLP tasks in the context of productizing research goals.
3. Ability to apply engineering best practices to make architectural and design decisions aligned with functionalities, user experience, performance, reliability, and scalability in the development of deployable ML services.
4. Substantial experience in software development using Python, Java, and/or C or C++, with a particular emphasis on integrating machine learning models into production-ready software solutions.
5. Demonstrated problem-solving skills, showcasing the ability to address complex situations effectively, especially in the context of improving models, data engineering, and deployment processes.
6. Strong interpersonal and communication skills, essential for effective collaboration within cross-functional teams consisting of research, development, and frontend teams.
7. Proven time management skills to handle dynamic and agile development situations, ensuring timely delivery of solutions in a fast-paced environment.
8. Self-motivated contributor who frequently takes initiative to enhance the codebase and share best practices, contributing to the development of an open, transparent, and collaborative engineering culture.

Hiring for Fullstack Developer - Shopify

Profile - Full stack Shopify Developer

Skills: Nodejs/Reactjs/ Angular , Shopify, Mysql, Rest API

Experience: 3+yrs

Location: Bangalore(WFO)

Notice: Immediate to 1 week

Interested ones kindly share cv at jyoti.kaur(at)programming.com

Thank You

Jyoti

Responsibilities: 

- Develop and execute successful SEO strategies 

- Manage team of SEO Executives 

- Conduct keyword research to guide content teams 

- Review technical SEO issues and recommend fixes 

- Optimize website content, landing pages and paid search copy 

- Direct off-page optimisation projects (e.g. link-building) 

- Collect data and report on traffic, rankings and other SEO aspects 

- Work with social media and PPC teams to optimize campaigns 

- Keep abreast of SEO and integrated marketing trends 

Requirements: 

- 5+ years of SEO Experience. Proven experience as SEO Manager, SEM Manager/ similar role - Knowledge of standard and current SEO practices 

- Knowledge of HTML/CSS 

- Experience with SEO reporting 

- Familiarity with relevant tools (e.g. Conductor, Screaming Frog, MOZ) and web analytics tools  (e.g. Google Analytics, WebTrends) 

- Strong organizational and leadership skills, Analytical mindset with numerical aptitude

What you need to have:

• Create and maintain optimal data pipeline architecture
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Author data services using a variety of programming languages
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Snowflake Cloud Datawarehouse as well as SQL and Azure ‘big data’ technologies
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and Azure regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Work in an Agile environment with Scrum teams.
• Ensure data quality and help in achieving data governance.

• 3+ years of experience in a Data Engineer or Software Engineer role
• Undergraduate degree required (Graduate degree preferred) in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
• Experience using the following software/tools:
• Experience with “Snowflake Cloud Datawarehouse”
• Experience with Azure cloud services: ADLS, ADF, ADLA, AAS
• Experience with data pipeline and workflow management tools
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Understanding of Datawarehouse (DWH) systems, and migration from DWH to data lakes/Snowflake
• Understanding of ELT and ETL patterns and when to use each. Understanding of data models and transforming data into the models
• Strong analytic skills related to working with unstructured datasets
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
• Experience supporting and working with cross-functional teams in a dynamic environment.

Please find below the required skill set

Skillsets:

• Strong Experience in Ruby on Rails
• Solid understanding of Ruby principles and core concepts.
• Good understanding of Object Oriented Concepts and principles.
• Understanding of RESTful/ SOAP APIs.
• Good understanding of front-end technologies including HTML5, CSS3, JavaScript, jQuery, ReactJS and Bootstrap framework.
• Knowledge/ Experience in SQL and PL/SQL programming.
• Excellent communication Skill.