Department, including onboarding of warehouses on Whrrl’s platform and
for all Business Development & Operations related activities for Warehousing, CM, &
Procurement services other activities as may be assigned by the Whrrl, from time to
time, including Overseeing CM & Warehousing activities.
➢ Identify new business opportunities & design strategies for Warehousing and Collateral
Management.
➢ Responsible for P&L of all the Warehousing & Collateral Management & monitor P&L as
per Whrrl’s requirements.
➢ To achieve revenue targets covering Commodity Funding, Storage & Preservations, CM
activities, Fumigation, and Pest Management & any other support services offered by
the Client.
➢ Monitor implementation of strategies approved by the Management, including
cost analysis related to the Department and implementation of best-cost measures.
➢ Identify & procure equipment and assets at the best cost required for smooth functioning
of the Warehouses.
➢ Develop a committed team, guide, lead & motivate team members to achieve team and
organizational goals. Guide & lead the Warehousing team in achieving
business/operational targets.
➢ Monitor inward/outward transactions and insurance details of all locations - Coordinate
CMA requests, evaluation & implementation.
➢ Maintain close association & liaison with bank officials, major commodity players, Govt.
organizations, and clients.
➢ Ensure proper customer service & high degree of customer satisfaction.
Ensure that customer complaints and queries are addressed timely and properly by the
team members and intervene to sort out issues when escalated.
➢ Ensure training of Warehouse staff about the concerned process in relation to Quality
Control activities, testing, preservation, fumigation, and prophylactic treatment and also
to ensure training of the warehouse staff on various documentation processes.
➢ Check if all the warehouse activities are being performed as per the laid down
procedures on every visit to warehouses.
➢ Ensure regular fumigation, prophylactic treatment of the stock by warehouse operations
staff, as per requirement

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B2C Product Companies List: Ultrahuman, boAt, Noise, Fire-Boltt, Mamaearth, Nykaa, Purplle, SUGAR Cosmetics, mCaffeine, CRED, Paytm, PhonePe, Amazon India, Flipkart, Meesho, Tata 1mg, Practo, PharmEasy, HealthifyMe, Cult.fit, Groww, Zerodha, Upstox, Dream11, MPL (Mobile Premier League), WinZO, Ather Energy, Wakefit, SleepyCat, Urban Company, ShareChat, Moj, Dailyhunt, Koo, Chingari, Josh (VerSe Innovation), BYJU’S, Unacademy, Vedantu, Cuemath, Embibe
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About Kanerika:
Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of data and AI.
We leverage cutting-edge technologies in data analytics, data governance, AI-ML, GenAI/ LLM and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth.
Awards and Recognitions:
Kanerika has won several awards over the years, including:
1. Best Place to Work 2023 by Great Place to Work®
2. Top 10 Most Recommended RPA Start-Ups in 2022 by RPA Today
3. NASSCOM Emerge 50 Award in 2014
4. Frost & Sullivan India 2021 Technology Innovation Award for its Kompass composable solution architecture
5. Kanerika has also been recognized for its commitment to customer privacy and data security, having achieved ISO 27701, SOC2, and GDPR compliances.
Working for us:
Kanerika is rated 4.6/5 on Glassdoor, for many good reasons. We truly value our employees' growth, well-being, and diversity, and people’s experiences bear this out. At Kanerika, we offer a host of enticing benefits that create an environment where you can thrive both personally and professionally. From our inclusive hiring practices and mandatory training on creating a safe work environment to our flexible working hours and generous parental leave, we prioritize the well-being and success of our employees.
Our commitment to professional development is evident through our mentorship programs, job training initiatives, and support for professional certifications. Additionally, our company-sponsored outings and various time-off benefits ensure a healthy work-life balance. Join us at Kanerika and become part of a vibrant and diverse community where your talents are recognized, your growth is nurtured, and your contributions make a real impact. See the benefits section below for the perks you’ll get while working for Kanerika.
About the role:
As a DevOps Engineer, you will play a critical role in bridging the gap between development, operations, and security teams to enable fast, secure, and reliable software delivery. With 5+ years of hands-on experience, the engineer is responsible for designing, implementing, and maintaining scalable, automated, and cloud-native infrastructure solutions.
Key Responsibilities:
- 5+ years of hands-on experience in DevOps or Cloud Engineering roles.
- Strong expertise in at least one public cloud provider (AWS / Azure / GCP).
- Proficiency in Infrastructure as Code (IaC) tools (Terraform, Ansible, Pulumi, or CloudFormation).
- Solid experience with Kubernetes and containerized applications.
- Strong knowledge of CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Azure DevOps, ArgoCD).
- Scripting/programming skills in Python, Shell, or Go for automation.
- Hands-on experience with monitoring, logging, and incident management.
- Familiarity with security practices in DevOps (secrets management, IAM, vulnerability scanning).
Employee Benefits:
1. Culture:
- Open Door Policy: Encourages open communication and accessibility to management.
- Open Office Floor Plan: Fosters a collaborative and interactive work environment.
- Flexible Working Hours: Allows employees to have flexibility in their work schedules.
- Employee Referral Bonus: Rewards employees for referring qualified candidates.
- Appraisal Process Twice a Year: Provides regular performance evaluations and feedback.
2. Inclusivity and Diversity:
- Hiring practices that promote diversity: Ensures a diverse and inclusive workforce.
- Mandatory POSH training: Promotes a safe and respectful work environment.
3. Health Insurance and Wellness Benefits:
- GMC and Term Insurance: Offers medical coverage and financial protection.
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- Disability Insurance: Offers financial support in case of disability.
4. Child Care & Parental Leave Benefits:
- Company-sponsored family events: Creates opportunities for employees and their families to bond.
- Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child.
- Family Medical Leave: Offers leave for employees to take care of family members' medical needs.
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- Company-sponsored outings: Organizes recreational activities for employees.
- Gratuity: Provides a monetary benefit as a token of appreciation.
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- L&D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development.
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We are looking to hire an SEO Content Specialist who understands search engine optimization and can write both long- and short-form content that's informative, compelling, and relevant to our portfolio companies, and drives maximum traffic to our websites, thereby improving their rankings in search engines.
You must be below 28, graduate from a Tier-1 Engineering College with 2+ years of SEO/SEM content writing experience.
You will ensure that company websites host high-quality, subject-rich, SEO-rich content, and drive complete end-to-end organic content marketing strategy to increase rankings, online visibility, and organic traffic.
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- Day-to-day execution of organic SEO campaigns including keyword research, content gap recommendations, strategic optimization of existing content, competitor analysis, and site improvements.
- Regular off-page link-building activities like backlink building from authoritative websites, article submissions, social bookmarking, classified ads, etc.
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- Track progress through analytics tools such as Google Analytics, Google Webmaster Tools, etc.
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You are a perfect fit if you have:
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- A sense of humour to make content interesting and engaging. It would be an added advantage, though not mandatory.
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- Exceptional communication skills, both written & verbal.
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We hire candidates for their strengths and superpowers, with a belief that the best team draws its mojo from these unique, yet complementary, individuals.
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As a Frontend Developer, you will ensure that our platform visitors can easily interact with the page. You should also be a team player with a knack for visual design and utility.
If you are also familiar with Agile methodologies, we’d like to meet you.
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- Troubleshoot, debug and upgrade software.
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- Good knowledge of Design patterns.
- Excellent communication and teamwork skills.
- Great attention to detail.
- Organizational skills.
- An analytical mind.
Preferred Requirements
- Proven experience of minimum 2 years as a .Net Developer (Frontend) or similar role
- HTML, CSS, JavaScript, JQuery, AngularJS/Angular
- Razor, MVC/ASP.Net Core
- Web API integration
- Degree in Computer Science, Statistics, or relevant field.
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To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software.
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Consulting with managers to determine and refine machine learning objectives.
Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
Transforming data science prototypes and applying appropriate ML algorithms and tools.
Ensuring that algorithms generate accurate user recommendations.
Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.
Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
Developing ML algorithms to analyze huge volumes of historical data to make predictions.
Running tests, performing statistical analysis, and interpreting test results.
Documenting machine learning processes.
Keeping abreast of developments in machine learning.
Machine Learning Engineer Requirements:
Bachelor's degree in computer science, data science, mathematics, or a related field.
Master’s degree in computational linguistics, data analytics, or similar will be advantageous.
At least two years' experience as a machine learning engineer.
Advanced proficiency with Python, Java, and R code writing.
Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
In-depth knowledge of mathematics, statistics, and algorithms.
Superb analytical and problem-solving abilities.
Great communication and collaboration skills.
Excellent time management and organizational abilities.
1. Core Responsibilities
· Leading solutions for data engineering
· Maintain the integrity of both the design and the data that is held within the architecture
· Champion and educate people in the development and use of data engineering best practises
· Support the Head of Data Engineering and lead by example
· Contribute to the development of database management services and associated processes relating to the delivery of data solutions
· Provide requirements analysis, documentation, development, delivery and maintenance of data platforms.
· Develop database requirements in a structured and logical manner ensuring delivery is aligned with business prioritisation and best practise
· Design and deliver performance enhancements, application migration processes and version upgrades across a pipeline of BI environments.
· Provide support for the scoping and delivery of BI capability to internal users.
· Identify risks and issues and escalate to Line / Project manager.
· Work with clients, existing asset owners & their service providers and non BI development staff to clarify and deliver work stream objectives in timescales that deliver to the overall project expectations.
· Develop and maintain documentation in support of all BI processes.
· Proactively identify cost-justifiable improvements to data manipulation processes.
· Research and promote relevant BI tools and processes that contribute to increased efficiency and capability in support of corporate objectives.
· Promote a culture that embraces change, continuous improvement and a ‘can do’ attitude.
· Demonstrate enthusiasm and self-motivation at all times.
· Establish effective working relationships with other internal teams to drive improved efficiency and effective processes.
· Be a champion for high quality data and use of strategic data repositories, associated relational model, and Data Warehouse for optimising the delivery of accurate, consistent and reliable business intelligence
· Ensure that you fully understand and comply with the organisation’s Risk Management Policies as they relate to your area of responsibility and demonstrate in your day to day work that you put customers at the heart of everything you do.
· Ensure that you fully understand and comply with the organisation’s Data Governance Policies as they relate to your area of responsibility and demonstrate in your day to day work that you treat data as an important corporate asset which must be protected and managed.
· Maintain the company’s compliance standards and ensure timely completion of all mandatory on-line training modules and attestations.
2. Experience Requirements
· 5 years Data Engineering / ETL development experience is essential
· 5 years data design experience in an MI / BI / Analytics environment (Kimball, lake house, data lake) is essential
· 5 years experience of working in a structured Change Management project lifecycle is essential
· Experience of working in a financial services environment is desirable
· Experience of dealing with senior management within a large organisation is desirable
· 5 years experience of developing in conjunction with large complex projects and programmes is desirable
· Experience mentoring other members of the team on best practise and internal standards is essential
· Experience with cloud data platforms desirable (Microsoft Azure) is desirable
3. Knowledge Requirements
· A strong knowledge of business intelligence solutions and an ability to translate this into data solutions for the broader business is essential
· Strong demonstrable knowledge of data warehouse methodologies
· Robust understanding of high level business processes is essential
· Understanding of data migration, including reconciliation, data cleanse and cutover is desirable
Role/ Responsibilities
- Design APIs, DB, Queues, monitoring for micro services.
- Writing, deploying and managing micro services.
- Migrate existing components into distributed micro service architecture.
- AWS Cloud / Google Cloud Platform (Manage Infrastructure).
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- Unit test cases, automation.
- Database optimisation.
- Design of highly concurrent backend architecture.
- Handling high traffic data.
Experience required:
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- Must have worked on distributed and micro service architecture.
- Sound fundamentals on scale/ performance/ memory optimisation.
- Sound fundamentals of authentication, authorization, payment processes, data security.
- Must have experience in Spring / Spring boot.
- Good to have experience in Kafka / JMS / RabbitMQ / AWS Elastic queue.
- Good to have experience in Junit / mockito unit test cases.
- Good to have knowledge in Mysql (or any RDBMS).

- Bachelors degree in Computer Science, Software Engineering, or a related discipline
- Experience working in an IT environment
- Experience developing with C#, C++, or other object-oriented platforms
- 2+ years of web application development
- Skill for writing reusable libraries
- Hands-on experience in ASP.Net, MVC, Restful services, Web API
- Experience in .Net Web API
- Strong understanding of object-oriented programming
- Strong knowledge of C# programming
- Ability to troubleshoot problems independently. Good analytical and problem-solving skills
- Familiar with various design and architectural patterns
- Strong Knowledge in Microsoft SQL Server scripts and Stored procedures
- Exposure to Agile Software Development Life Cycle
- Experience implementing automated testing platforms and unit tests
- Proficient understanding of code versioning tools such as GIT
- Experience in Service-based architecture












