
Role Overview:
The SEO Analyst is responsible for optimizing the organization’s online presence by improving search engine rankings, driving organic traffic, and enhancing user engagement. This role requires expertise in SEO strategies, analytics, and a strong understanding of mental health-related content to ensure alignment with the organization’s mission.
Key Responsibilities:
- SEO Strategy Development and Execution:
- Develop and implement effective SEO strategies to improve website rankings and increase organic traffic.
- Conduct keyword research to identify high-value terms relevant to mental health services and integrate them into the content strategy.
- Content Optimization:
- Collaborate with content teams to optimize on-page elements, including meta tags, headers, and keywords.
- Ensure that content adheres to SEO best practices while maintaining accuracy and sensitivity in mental health-related topics.
- Performance Monitoring and Reporting:
- Monitor website performance using tools such as Google Analytics, Google Search Console, and other SEO software.
- Analyze data to evaluate the effectiveness of SEO efforts and provide regular reports to the marketing team.
- Technical SEO Management:
- Conduct technical audits to identify and resolve issues affecting website performance, such as page speed, mobile usability, and broken links.
- Ensure the website is optimized for search engine crawlers and adheres to the latest algorithm updates.
- Competitor and Market Analysis:
- Conduct competitive analysis to identify trends, opportunities, and gaps in the market.
- Research emerging SEO techniques and tools to maintain a competitive edge in the mental health sector.
- Local SEO:
- Develop and manage local SEO strategies to enhance visibility in specific geographic areas.
- Optimize Google My Business profiles and manage location-based search strategies.
- Collaboration and Training:
- Work closely with content creators, developers, and social media teams to align SEO initiatives with broader marketing goals.
- Provide training and guidance to team members on SEO best practices.
Qualifications and Requirements:
Education:
- Bachelor’s degree in Marketing, Computer Science, or a related field.
Experience:
- 2–5 years of experience as an SEO Analyst or in a similar role.
- Proven experience in optimizing content for the mental health or healthcare sector is mandatory.
Skills and Knowledge:
- Proficiency in SEO tools such as Google Analytics, Google Search Console, SEMrush, and Ahrefs.
- Strong understanding of technical SEO, keyword research, and link-building strategies.
- Familiarity with content management systems (e.g., WordPress).
- Knowledge of HTML, CSS, and basic coding practices is a plus.
- Excellent analytical and problem-solving skills.
Personal Attributes:
- Strong attention to detail with the ability to manage multiple projects simultaneously.
- Excellent communication and collaboration skills.
- Sensitivity and awareness when working with mental health-related content.
Key Competencies:
- Expertise in SEO strategies and best practices.
- Data-driven decision-making and performance analysis.
- Ability to adapt strategies to the unique needs of mental health-related audiences.
- Strong alignment with the organization’s mission to promote mental health awareness.

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📌 Job Description – Cybersecurity Professional
Position Title: Cybersecurity Professional
Location: Chandigarh
Department: IT Security & Compliance
Employment Type: Full-Time
Reporting To: Chief Information Security Officer (CISO) / IT Security Manager
Role Overview
We are seeking a highly skilled Cybersecurity Professional to safeguard our IT infrastructure, applications, and data assets against evolving cyber threats. The role involves conducting vulnerability assessments, penetration testing, network and cloud security, compliance audits, incident response, and employee training. The ideal candidate should have hands-on expertise across prevention, detection, response, and compliance frameworks (e.g., NIST, ISO 27001, HIPAA, SOC2).
Key Responsibilities
- 🔍 Security Assessments & AuditsPerform vulnerability assessments and penetration tests across networks, servers, endpoints, and applications.
- Conduct configuration audits of firewalls, routers, and cloud environments.
- Support and maintain compliance with HIPAA, PCI DSS, SOC2, ISO 27001, GDPR, NIST.
- 🌐 Network, Infrastructure & Cloud SecurityConfigure, monitor, and manage firewalls, IDS/IPS, and VPNs.
- Implement Zero Trust security models and secure remote access.
- Secure cloud environments (AWS, Azure, GCP) with IAM, encryption, and monitoring.
- Protect wireless and IoT networks from unauthorized access.
- 💻 Endpoint & Application SecurityDeploy and manage EDR/XDR solutions across endpoints.
- Ensure timely patch management for all critical systems.
- Perform secure code reviews, API testing, and DevSecOps integration.
- Manage Mobile Device Management (MDM) for BYOD and enterprise devices.
- 📊 Threat Monitoring & DetectionOperate and maintain SIEM platforms (Splunk, QRadar, ELK).
- Work with SOC teams to monitor logs and detect anomalies.
- Conduct threat hunting activities to uncover hidden risks.
- Respond to security alerts in real time.
- 🚨 Incident Response & RecoveryLead incident detection, containment, and eradication efforts.
- Perform digital forensics on compromised systems.
- Develop and maintain Disaster Recovery (DR) and Business Continuity Plans (BCP).
- Conduct post-incident analysis and provide lessons learned reports.
- 🔑 Identity & Access Management (IAM)Manage user provisioning, role-based access control, and Privileged Access Management (PAM).
- Implement Multi-Factor Authentication (MFA) and Single Sign-On (SSO).
- Ensure compliance with least-privilege and Zero Trust principles.
- 📜 Governance, Risk & Compliance (GRC)Develop and enforce cybersecurity policies, SOPs, and guidelines.
- Conduct risk assessments and maintain a risk register.
- Collaborate with auditors for compliance certifications (SOC2, ISO, HIPAA, GDPR).
- Assess and monitor third-party vendor security.
- 🎓 Security Awareness & TrainingDeliver cybersecurity awareness training for employees.
- Conduct phishing simulations and share reports.
- Educate executives and stakeholders on cyber risks and strategy.
- 🔒 Data Protection & PrivacyImplement data encryption (at rest and in transit) and DLP controls.
- Manage secure data backup and recovery processes.
- Conduct Privacy Impact Assessments to ensure regulatory compliance.
- Key Performance Indicators (KPIs)≥ 95% critical vulnerabilities remediated within SLA.
- ≥ 99% uptime of security monitoring tools.
- Zero major security incidents causing data loss/financial loss.
- Achieve/maintain compliance certifications (SOC2, ISO 27001, HIPAA, PCI DSS).
- ≥ 90% employee completion of cybersecurity awareness training.
Qualifications & Skills
- 🎓 Education & Experience3–7 years of experience in cybersecurity roles (analyst, engineer, consultant).
- Experience working with North American/Global clients preferred.
- 🛠 Technical SkillsStrong knowledge of firewalls, SIEM, IDS/IPS, EDR/XDR, and IAM solutions.
- Hands-on with penetration testing tools (Nmap, Metasploit, Burp Suite, Nessus, Wireshark).
- Familiarity with cloud security (AWS/Azure/GCP).
- Knowledge of compliance standards: HIPAA, PCI DSS, SOC2, ISO 27001, NIST CSF.
- Scripting/automation in Python, PowerShell, or Bash is a plus.
- 📜 Certifications (Preferred)CEH (Certified Ethical Hacker)
- CISSP (Certified Information Systems Security Professional)
- CISM (Certified Information Security Manager)
- CompTIA Security+ / CySA+
- CCSP (Certified Cloud Security Professional)
- ISO 27001 Lead Auditor (advantageous)
- Why Join Us?Work on cutting-edge cybersecurity projects with global clients.
- Gain cross-industry exposure in healthcare, fintech, retail, logistics, IT.
- Opportunity to lead projects in cloud security, compliance, and incident response.
Competitive salary, certification sponsorship, and performance incentives.
Job Title: Hotel Operations Executive
Experience: 6 Months to 1+ Years
Job Summary:
We are looking for a Hotel Operations Executive to manage post-booking activities, including modifications, cancellations, and customer support. The role requires coordination with hotels, handling escalations, and ensuring a smooth guest experience.
Key Responsibilities:
- Manage post-booking queries, modifications, and cancellations.
- Coordinate with hotels for confirmations and issue resolution.
- Provide customer support via calls, emails, and chats.
- Handle escalations, refunds, and payment discrepancies.
- Maintain booking records and improve processes.
Requirements:
- Experience: 6 Months to 1+ years in hotel reservations, operations, or customer service.
- Skills: Strong communication, problem-solving, and coordination.
- Technical: Familiarity with OTA booking systems is a plus.
JD/Skills:-
L1 Tech Support, application support.
Good on SQL Queries.
Decent comm skills.
This will be Mumbai Location.
5 days working.
CTC is good as per market norms.

We are looking for a full time Reactjs Developer who is well-versed with the process of combining the art of programming with the art of designing.
**Responsibilities:-**
1) Translation of the UI/UX design wire-frames to actual code that will produce visual elements of the application.
2) Work with the UI/UX design team and bridge the gap between graphical design and technical implementation.
3) Should take an active role on both sides and help in defining the look and functionality of the application.
**Skills**
1) Deep knowledge in React.JS Practices
2) Must have minimum 3 years hands-on experience with with NgRX or Redux.
3) Knowledge of JavaScript and HTML5
4) Knowledge of CSS and JS methods.
5) Writing non-blocking code and resorting to advanced techniques such as multi-threading
6) Build and deployment process knowledge. Roles and Responsibilities
Desired Candidate Profile
Perks and Benefits
Our technology-based client is backed-up by venture capitalist and angel investor. It has onboarded over 1000 sellers so far and has facilitated transactions over 6 crores. Their top clients include CBRE, FedEx, Swiggy etc.
They are currently developing India’s first dedicated B2B Service Procurement Platform.
What you will do:
- Handling recruitment cycle for both technical as well as non-technical roles
- Understanding the hiring requirements from various hiring managers
- Sourcing potential candidates through various platforms, efficiently
- Screening the profiles based on the requirement specified
- Evaluating applications and screening candidates via calls or emails
- Scheduling interviews for shortlisted candidates with the concerned business units
- Following-up and ensuring that the offer letter/ appointment letter is released to the selected candidates on-time
- Following-up on collecting relevant and necessary documents from the candidates who are shortlisted
- Ensuring that the shortlisted candidates are on-boarded on-time and the hiring requirement is closed
- Acting as a point of contact for the shortlisted candidates and building professional candidate relationships during the selection process
- Working closely with internal stakeholders such as internal teams and external stakeholders such as vendors
- Maintaining and updating recruitment database and reporting the same to the management in regular intervals
Desired Candidate Profile
What you need to have:- Graduation is a must
- 2 – 4 years of relevant work experience in the entire recruitment cycle
- Knowledge and work experience in recruiting for both technical as well as non-technical roles
- Ability to multi-task and exceptional ability to source, screen and interview candidates
- Excellent communicating, listening and negotiating skills
CarWale Job Opportunity |Key Account Manager - Delhi & Mumbai - Enterprise Solutions
Department - Enterprise Solutions
About CarWale:
- About CarWale
CarWale is India’s largest and most preferred auto destination. We have been assisting buyers to make an informed buying decision through our website and mobile app. Over the last 14 years, our only aim has been to make car buying simple for our consumers. Today we serve over 20 million unique visitors every month, and at least one third of the country’s car buyers go through Carwale.com at some point during their pre purchase research.
Before you sign up with us, we would love to tell you more about the team you are going to be part of and believe, it will help you take the right decision.
About Enterprise Solutions:
Enterprise Solutions is the core solutions team within the company that interfaces with the largest advertising clients and devises customized marketing and technology solutions to suit their needs.
Role Requirement
Exp req- 1-3 yrs, from Tier 1 MBA College
Skills req- Sales, Business Development, Presales.
Auto, Consulting background preferred
Primary responsibilities:
- Architect, Design and Build high performance Search systems for personalization, optimization, and targeting
- Designing systems with Solr, Akka, Cassandra, Kafka
- Algorithmic development with primary focus Machine Learning
- Working with rapid and innovative development methodologies like: Kanban, Continuous Integration and Daily deployments
- Participation in design and code reviews and recommend improvements
- Unit testing with JUnit, Performance testing and tuning
- Coordination with internal and external teams
- Mentoring junior engineers
- Participate in Product roadmap and Prioritization discussions and decisions
- Evangelize the solution with Professional services and Customer Success teams



Role and Responsibilities
- Execute data mining projects, training and deploying models over a typical duration of 2 -12 months.
- The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
- Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android).
Core Qualifications
Candidates must meet ALL of the following qualifications:
- Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
- Three years of industry work experience, developing data mining models which were deployed and used.
- Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas.
- Data mining algorithm experience in at least 3 algorithms across: prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles), clustering (k-means, DBSCAN or other) or Bayesian networks
Bonus Qualifications
Any of the following extra qualifications will make a candidate more competitive:
- Soft Skills
- Sets expectations, develops project plans and meets expectations.
- Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function.
- Technical skills
- Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered.
- Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
- Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job.
- Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
- OpenCV or other image processing tools or libraries
- Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations.
- Decision trees like XGBoost or Random Forests is helpful.
- Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
- Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
- Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
- Experience with PMML is of interest (see www.DMG.org).
- Vertical experience in Industrial Internet of Things (IoT) applications:
- Energy: Oil and Gas, Wind Turbines
- Manufacturing: Motors, chemical processes, tools, automotive
- Smart Cities: Elevators, cameras on population or cars, power grid
- Transportation: Cars, truck fleets, trains
About FogHorn Systems
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications.
Press: https://www.foghorn.io/press-room/">https://www.foghorn.io/press-room/
Awards: https://www.foghorn.io/awards-and-recognition/">https://www.foghorn.io/awards-and-recognition/
- 2019 Edge Computing Company of the Year – Compass Intelligence
- 2019 Internet of Things 50: 10 Coolest Industrial IoT Companies – CRN
- 2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine
- 2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020)
- 2018 Winner in Artificial Intelligence and Machine Learning – Globe Awards
- 2018 Ten Edge Computing Vendors to Watch – ZDNet & 451 Research
- 2018 The 10 Most Innovative AI Solution Providers – Insights Success
- 2018 The AI 100 – CB Insights
- 2017 Cool Vendor in IoT Edge Computing – Gartner
- 2017 20 Most Promising AI Service Providers – CIO Review
Our Series A round was for $15 million. Our Series B round was for $30 million October 2017. Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive.
About the Data Science Solutions team
In 2018, our Data Science Solutions team grew from 4 to 9. We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects. About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining.
Our data scientists like our team because:
- We care about “best practices”
- Have a direct impact on the company’s revenue
- Give or receive mentoring as part of the collaborative process
- Questions and challenging the status quo with data is safe
- Intellectual curiosity balanced with humility
- Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning


