Engineering Head

We are looking for an energetic go-getter with at least 4 years of experience in B2B sales selling products &/ products through long sales cycles (6-18 months) to large MNCs, Industries & Institutions.

Job Responsibilities:

• To increase revenue by bringing in new clients for employee & student transportation services.
• To ensure profit margins are maintained.

Location:  Jayanagar, Bangalore, Karnataka, India

Work from office: 9 am to 6 pm (Mon - Sat)

Criteria:

• 4+ years of B2B sales experience 
• Prior experience selling to target customers (MNC’s, Industries, Institutions)
• Based in Bangalore.

Why join this role:

• Great incentives - 0.5% of revenue generated (our average deal size is >1 crore)
• Opportunity for gaining exceptional recognition by claiming credit for addition of any new business.
• Job security, Health insurance.
• The company is growing at over 20% y-o-y.

🔹 About the Role:

Title: Paid Marketing Executive — Mid-level (2+ years experience)

We’re looking for a data-driven Paid Marketing Executive to plan, execute, and optimize performance marketing campaigns across Google Ads, Meta Ads, and LinkedIn Ads.

The ideal candidate will have hands-on experience in lead generation, campaign analytics, and ROI optimization, with the ability to turn insights into impactful growth strategies

🎯 Key Responsibilities:

• Plan, launch, and optimize campaigns across Google, Meta, and LinkedIn Ads.
• Manage end-to-end campaign execution — targeting, ad setup, A/B testing, landing page optimization, and reporting.
• Drive lead generation and user acquisition while maintaining low CPA and high ROAS.
• Run remarketing, retargeting, and lookalike campaigns to improve conversion rates.
• Implement A/B testing for creatives, copies, and funnels to enhance performance.
• Utilize AI tools and automation to streamline campaign management and reporting.
• Monitor and analyze KPIs (CTR, CPC, CPA, ROAS, Conversion Rates) for ongoing performance improvement.
• Prepare and present reports using Google Analytics, GTM, Meta Ads Manager, and LinkedIn Campaign Manager.

🧩 Requirements:

• Minimum 2 years of experience in Performance Marketing / Digital Marketing (preferably B2B or Finance sector).
• Hands-on experience with Google Ads, Meta Ads, and LinkedIn Ads.
• Strong analytical mindset with experience in funnel optimization and A/B testing.
• Proficiency in analytics tools – Google Analytics, GTM, and Ads Managers.
• Ability to manage budgets effectively and deliver measurable ROI.
• Excellent communication and collaboration skills.
• Bachelor’s degree in Marketing, Business, or a related field.
• Certifications (Google Ads / Facebook Blueprint) are a plus.

📈 If you’re passionate about paid campaigns, analytics, and driving digital growth — this role is for you!

Join our dynamic marketing team and make an impact with data-backed decisions.

Job Summary:

We are looking for a skilled QA Tester with a specialization in Vulnerability Testing and Penetration Testing to join our team. The ideal candidate will be responsible for ensuring the security, reliability, and performance of our applications through comprehensive security assessments, Load Testing, penetration testing, and integration of security into CI/CD processes.

Key Responsibilities:

• Design and execute test cases, scripts, and security test plans for web, mobile, and cloud applications.
• Conduct vulnerability assessments and penetration testing to identify and mitigate security risks.
• Detect and analyze threats such as SQL Injection, XSS, CSRF, SSRF, IDOR, and others (OWASP Top 10).
• Integrate automated security testing into CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI).
• Collaborate with development, DevOps, and security teams to promote secure coding and architecture practices.
• Utilize tools like Burp Suite, 'Jmeter OWASP ZAP, Metasploit, Kali Linux, Nessus, and similar.
• Perform API security testing and validate authentication & authorization mechanisms (OAuth, JWT, etc.).
• Document findings, assess impact and risk, and provide actionable recommendations for remediation.
• Ensure compliance with regulatory and security standards (e.g., ISO 27001, GDPR, HIPAA, PCI-DSS).

Required Skills & Qualifications:

• 3+ years of experience in QA with a focus on Security & Vulnerability Testing.
• Proficient in manual and automated testing of web and mobile apps.
• Strong experience with penetration testing tools and security frameworks.
• Familiarity with scripting languages like Python, Bash, or JavaScript for test automation.
• Experience with cloud platforms (AWS, Azure, or GCP) is a plus.
• Deep understanding of HTTP, RESTful APIs, and authentication protocols (OAuth, JWT, SAML).
• Working knowledge of network security, IDS/IPS, and firewalls.
• Relevant certifications such as CEH, OSCP, CISSP, or Security+ are a strong plus.

Skills: Gas/steam Turbine, Aero Engine, UG NX/NX, GD&T– All these skills are must in resume.

Domain: Look CVs in Aerospace Industry

Location: HYD

Experience: 2+ years

About Kloud9:

Kloud9 exists with the sole purpose of providing cloud expertise to the retail industry. Our team of cloud architects, engineers and developers help retailers launch a successful cloud initiative so you can quickly realise the benefits of cloud technology. Our standardised, proven cloud adoption methodologies reduce the cloud adoption time and effort so you can directly benefit from lower migration costs.

Kloud9 was founded with the vision of bridging the gap between E-commerce and cloud. The E-commerce of any industry is limiting and poses a huge challenge in terms of the finances spent on physical data structures.

At Kloud9, we know migrating to the cloud is the single most significant technology shift your company faces today. We are your trusted advisors in transformation and are determined to build a deep partnership along the way. Our cloud and retail experts will ease your transition to the cloud.

Our sole focus is to provide cloud expertise to retail industry giving our clients the empowerment that will take their business to the next level. Our team of proficient architects, engineers and developers have been designing, building and implementing solutions for retailers for an average of more than 20 years.

We are a cloud vendor that is both platform and technology independent. Our vendor independence not just provides us with a unique perspective into the cloud market but also ensures that we deliver the cloud solutions available that best meet our clients' requirements.

Responsibilities:

●       Studying, transforming, and converting data science prototypes

●       Deploying models to production

●       Training and retraining models as needed

●       Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their respective scores

●       Analyzing the errors of the model and designing strategies to overcome them

●       Identifying differences in data distribution that could affect model performance in real-world situations

●       Performing statistical analysis and using results to improve models

●       Supervising the data acquisition process if more data is needed

●       Defining data augmentation pipelines

●       Defining the pre-processing or feature engineering to be done on a given dataset

●       To extend and enrich existing ML frameworks and libraries

●       Understanding when the findings can be applied to business decisions

●       Documenting machine learning processes

Basic requirements: 

●       4+ years of IT experience in which at least 2+ years of relevant experience primarily in converting data science prototypes and deploying models to production

●       Proficiency with Python and machine learning libraries such as scikit-learn, matplotlib, seaborn and pandas

●       Knowledge of Big Data frameworks like Hadoop, Spark, Pig, Hive, Flume, etc

●       Experience in working with ML frameworks like TensorFlow, Keras, OpenCV

●       Strong written and verbal communications

●       Excellent interpersonal and collaboration skills.

●       Expertise in visualizing and manipulating big datasets

●       Familiarity with Linux

●       Ability to select hardware to run an ML model with the required latency

●       Robust data modelling and data architecture skills.

●       Advanced degree in Computer Science/Math/Statistics or a related discipline.

●       Advanced Math and Statistics skills (linear algebra, calculus, Bayesian statistics, mean, median, variance, etc.)

Nice to have

●       Familiarity with Java, and R code writing.

●       Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world

●       Verifying data quality, and/or ensuring it via data cleaning

●       Supervising the data acquisition process if more data is needed

●       Finding available datasets online that could be used for training

Why Explore a Career at Kloud9:

With job opportunities in prime locations of US, London, Poland and Bengaluru, we help build your career paths in cutting edge technologies of AI, Machine Learning and Data Science. Be part of an inclusive and diverse workforce that's changing the face of retail technology with their creativity and innovative solutions. Our vested interest in our employees translates to deliver the best products and solutions to our customers.

QA AUTOMATION TESTER:

• Willing to contribute to Small or Large Project Teams
• Must be willing to start Immediately work from home permanent
• Good Communication Skills (English)
• Can Allocate working hours (Flexible) as per Projects Req.
• Must have Good Internet & Good Laptop/System

Key responsibilities 

· To attend meetings with potential Clients to determine technical and business requirements 

and ensuring that all necessary information is collated prior to producing a solution 

· Provide technical solutions in a professional manner and to agreed timeframes 

· Ability to demonstrate product and technologies effectively to audiences of varied technical 

knowledge 

· Create and confidently deliver technical presentations internally and externally 

· Deliver training on solutions and provide product support to channel partners and internal 

stakeholders 

· Create internal design configuration documentation including network diagrams with 

technical explanations 

· Work with Product Management to feedback on issues with current products and provide 

input around new products 

· Builds productive relationships internally and externally, fostering teamwork by keeping 

colleagues updated on activities 

· Perform technical development for bespoke solutions as part of a design and development 

frame work 

· Able to understand business drivers and risks involved to the customer 

· Prepare comparison documents against competitors 

· Sell technical solutions to the customer with professionalism and enthusiasm 

· Provide accurate and timely management information, to include - activity reports, bid 

reviews, project forecasts, KPI’s 

· Adhere to the Company’s Quality and Business Processes 

· To structure and produce compelling sales proposals/commercial and technical 

documentation outlining the cost savings and business benefits to clients 

· To assume responsibility for running a bid team, where relevant 

· Interface with the implementation / project team, articulating customer requirement, to 

ensure smooth transition from Sale to Delivery 

Hands on experience in Python in 2.x and 3.x versions

• Developed and deployed services in AWS serverless Architecture
• Developed REST API’s using serverless framework, AWS Lambda, API Gateway
• Developed queue and notification services using AWS components - SQS, SNS
• Implemented authorization and authentication using AWS Cognito pool
• Developed Facial recognition systems using AWS Rekognition
• Hands on experience in Flask, Tornado, Quartz framework
• Hands on experience in designing and working on MicroService & Monolithic architecture
• Basic understanding of front-end technologies HTML, CSS, JavaScript, jQuery

Mongo dB experience is must

Responsibilities

• Conduct market research to identify selling possibilities and evaluate customer needs
• Lead Generation

• Actively seek out new sales opportunities through cold calling, networking and social media

• Set up meetings with potential clients and listen to their wishes and concerns

• Prepare and deliver appropriate presentations on products and services

• Create frequent reviews and reports with sales and financial data

• Participate on behalf of the company in exhibitions or conferences

• Negotiate/close deals and handle complaints or objections

• Collaborate with team members to achieve better results

• Gather feedback from customers or prospects and share with internal teams

Requirements

• 2 to 4 Years in sales
• Good communication and experience on sales
• Candidate from HR consulting background will preferred

Skills

BDE-Lead Generation –B 2 B Sales