Channel Sales Manager

We are looking for a passionate DevOps Engineer who can support deployment and monitor our Production, QE, and Staging environments performance. Applicants should have a strong understanding of UNIX internals and should be able to clearly articulate how it works. Knowledge of shell scripting & security aspects is a must. Any experience with infrastructure as code is a big plus. The key responsibility of the role is to manage deployments, security, and support of business solutions. Having experience in database applications like Postgres, ELK, NodeJS, NextJS & Ruby on Rails is a huge plus. At VakilSearch. Experience doesn't matter, passion to produce change matters

Responsibilities and Accountabilities:

• As part of the DevOps team, you will be responsible for configuration, optimization, documentation, and support of the infra components of VakilSearch’s product which are hosted in cloud services & on-prem facility
• Design, build tools and framework that support deploying and managing our platform & Exploring new tools, technologies, and processes to improve speed, efficiency, and scalability
• Support and troubleshoot scalability, high availability, performance, monitoring, backup, and restore of different Env 
• Manage resources in a cost-effective, innovative manner including assisting subordinates ineffective use of resources and tools
• Resolve incidents as escalated from Monitoring tools and Business Development Team
• Implement and follow security guidelines, both policy and technology to protect our data
• Identify root cause for issues and develop long-term solutions to fix recurring issues and Document it
• Strong in performing production operation activities even at night times if required
• Ability to automate [Scripts] recurring tasks to increase velocity and quality
• Ability to manage and deliver multiple project phases at the same time

I Qualification(s): 

• Experience in working with Linux Server, DevOps tools, and Orchestration tools 
• Linux, AWS, GCP, Azure, CompTIA+, and any other certification are a value-add 

II Experience Required in DevOps Aspects:

• Length of Experience: Minimum 1-4 years of experience
• Nature of Experience: 
• Experience in Cloud deployments, Linux administration[ Kernel Tuning is a value add ], Linux clustering, AWS, virtualization, and networking concepts [ Azure, GCP value add ]
• Experience in deployment solutions CI/CD like Jenkins, GitHub Actions [ Release Management is a value add ]
• Hands-on experience in any of the configuration management IaC tools like Chef, Terraform, and CloudFormation [ Ansible & Puppet is a value add ]
• Administration, Configuring and utilizing Monitoring and Alerting tools like Prometheus, Grafana, Loki, ELK, Zabbix, Datadog, etc
• Experience with Containerization and orchestration tools like Docker, and Kubernetes [ Docker swarm is a value add ]Good Scripting skills in at least one interpreted language - Shell/bash scripting or Ruby/Python/Perl
• Experience in Database applications like PostgreSQL, MongoDB & MySQL [DataOps]
• Good at Version Control & source code management systems like GitHub, GIT
• Experience in Serverless [ Lambda/GCP cloud function/Azure function ]
• Experience in Web Server Nginx, and Apache
• Knowledge in Redis, RabbitMQ, ELK, REST API [ MLOps Tools is a value add ]
• Knowledge in Puma, Unicorn, Gunicorn & Yarn
• Hands-on VMWare ESXi/Xencenter deployments is a value add
• Experience in Implementing and troubleshooting TCP/IP networks, VPN, Load Balancing & Web application firewalls
• Deploying, Configuring, and Maintaining Linux server systems ON premises and off-premises
• Code Quality like SonarQube is a value-add
• Test Automation like Selenium, JMeter, and JUnit is a value-add
• Experience in Heroku and OpenStack is a value-add 
• Experience in Identifying Inbound and Outbound Threats and resolving it
• Knowledge of CVE & applying the patches for OS, Ruby gems, Node, and Python packages  
• Documenting the Security fix for future use
• Establish cross-team collaboration with security built into the software development lifecycle 
• Forensics and Root Cause Analysis skills are mandatory 
• Weekly Sanity Checks of the on-prem and off-prem environment 

III Skill Set & Personality Traits required:

• An understanding of programming languages such as Ruby, NodeJS, ReactJS, Perl, Java, Python, and PHP
• Good written and verbal communication skills to facilitate efficient and effective interaction with peers, partners, vendors, and customers

IV Age Group: 21 – 36 Years

V Cost to the Company: As per industry standards

Job Description

• Design technical specifications for RPA (Blue Prism) that meets the requirements and handled all the non functional requirements of concurrency, scalability, security requirements, restart and recovery.
• Develops and configures automation processes as per the technical design document to meet the defined requirements. Works on the coding the more complicated automations or reusable components, and delegates and mentors junior developers for the less complex components.
• Develops new processes/tasks/objects using core workflow principles that are efficient, well structured, maintainable and easy to understand.
• Complies with and helps to enforce design and coding standards, policies and procedures.
• Ensures documentation is well maintained.
• Ensures quality of coded components by performing thorough unit testing.
• Works collaboratively with test teams during the Product test and UAT phases to fix assigned bugs with quality.
• Reports status, issues and risks to tech leads on a regular basis
• Improves skills in automation products by completing automation certification.
• Mentors junior developers and performs code reviews for quality control.

Qualifications

Bachelor degree in Engineering / Computer Science

Additional Information

•  5- 8 years of IT experience and having good understanding of programming concepts.  Should be from a programming background on any coding language (.Net, Java).
• Working experience in RPA for a minimum of 2 years and having project experience of a minimum 3 RPA implementations.
• Understands development methodology and lifecycle
• Should be trained on RPA tools (Blue Prism).
• Self-motivated, team player, action and results oriented.
• Well organized, good communication and reporting skills.

Job Title: Store Manager – Footwear Retail

📍 Location:Hyderabad

💼 Employment Type: Full-Time

About the Role

We are looking for a passionate and result-driven Store Manager to lead our footwear retail store. The ideal candidate will be responsible for driving sales, delivering excellent customer service, managing daily store operations, and leading a team to achieve business goals.

Key Responsibilities

• Oversee day-to-day operations of the footwear store.
• Achieve sales targets and ensure profitability.
• Deliver outstanding customer service and resolve queries effectively.
• Manage inventory control, stock replenishment, and shrinkage.
• Ensure attractive visual merchandising and store presentation.
• Train, motivate, and lead the store team to perform at high standards.
• Monitor KPIs and business performance regularly.
• Maintain compliance with company policies and operational standards.

Qualifications & Experience

• Graduate in Business, Retail, or related field (preferred).
• 3–6 years of experience in retail management, preferably in footwear, fashion, or lifestyle stores.
• Strong knowledge of retail operations, merchandising, and sales techniques.
• Excellent leadership, problem-solving, and customer service skills.

Skills Required

✔ Retail sales & business development

✔ Inventory & stock management

✔ Team leadership & training

✔ Customer relationship management

✔ Visual merchandising & store upkeep

Job Description: 

Machine Learning / AI Engineer (with 3+ years of experience)

We are seeking a highly skilled and passionate Machine Learning / AI Engineer to join our newly established data science practice area. In this role, you will primarily focus on working with Large Language Models (LLMs) and contribute to building generative AI applications. This position offers an exciting opportunity to shape the future of AI technology while charting an interesting career path within our organization.

Responsibilities:

1. Develop and implement machine learning models: Utilize your expertise in machine learning and artificial intelligence to design, develop, and deploy cutting-edge models, with a particular emphasis on Large Language Models (LLMs). Apply your knowledge to solve complex problems and optimize performance.

2. Building generative AI applications: Collaborate with cross-functional teams to conceptualize, design, and build innovative generative AI applications. Work on projects that push the boundaries of AI technology and deliver impactful solutions to real-world problems.

3. Data preprocessing and analysis: Collect, clean, and preprocess large volumes of data for training and evaluation purposes. Conduct exploratory data analysis to gain insights and identify patterns that can enhance the performance of AI models.

4. Model training and evaluation: Develop robust training pipelines for machine learning models, incorporating best practices in model selection, feature engineering, and hyperparameter tuning. Evaluate model performance using appropriate metrics and iterate on the models to improve accuracy and efficiency.

5. Research and stay up to date: Keep abreast of the latest advancements in machine learning, natural language processing, and generative AI. Stay informed about industry trends, emerging techniques, and open-source libraries, and apply relevant findings to enhance the team's capabilities.

6. Collaborate and communicate effectively: Work closely with a multidisciplinary team of data scientists, software engineers, and domain experts to drive AI initiatives. Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.

7. Experimentation and prototyping: Explore novel ideas, experiment with new algorithms, and prototype innovative solutions. Foster a culture of innovation and contribute to the continuous improvement of AI methodologies and practices within the organization.

Requirements:

1. Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Relevant certifications in machine learning, deep learning, or AI are a plus.

2. Experience: A minimum of 3+ years of professional experience as a Machine Learning / AI Engineer, with a proven track record of developing and deploying machine learning models in real-world applications.

3. Strong programming skills: Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas). Experience with cloud platforms (e.g., AWS, Azure, GCP) for model deployment is preferred.

4. Deep-learning expertise: Strong understanding of deep learning architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and familiarity with Large Language Models (LLMs) such as GPT-3, GPT-4, or equivalent.

5. Natural Language Processing (NLP) knowledge: Familiarity with NLP techniques, including tokenization, word embeddings, named entity recognition, sentiment analysis, text classification, and language generation.

6. Data manipulation and preprocessing skills: Proficiency in data manipulation using SQL and experience with data preprocessing techniques (e.g., cleaning, normalization, feature engineering). Familiarity with big data tools (e.g., Spark) is a plus.

7. Problem-solving and analytical thinking: Strong analytical and problem-solving abilities, with a keen eye for detail. Demonstrated experience in translating complex business requirements into practical machine learning solutions.

8. Communication and collaboration: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders

1.                 Proven experience as a QA Tester or similar role with 5+ Years of experience, with a strong understanding of software testing principles, methodologies and techniques.

2.                 Proficiency in creating and executing test plans, test cases, and test scripts.

3.                 Experience with various testing types including functional, integration, regression, and usability testing.

4.                 Familiarity with manual and automated testing tools, such as Selenium, Appium, Lambda Test.

5.                 Basic knowledge of programming languages (e.g., Java, Python) and scripting for test automation is a plus.

6.                 Excellent analytical and problem-solving skills, with a keen attention to detail.

Job Title : Mulesoft Ops Lead

Location : 100% Remote

What we're looking for

• 7+ years of professional work experience in the Enterprise Integration domain.
• Must have experience of implementing 2-3 end to end enterprise level integration solutions.
• Experience in Design and Implement Integration solutions leveraging Mulesoft.
• Good Understanding of REST/SOAP principles and Dataweave.
• Candidates must have a good understanding of Anypoint platform and Anypoint Studio.
• Must be able to work as an individual contributor.
• Should have Strong knowledge on securing the web APIs data-integrity/confidentiality (Oauth 2. 0, Web JWT Token, x509 certificates).
• Should have Knowledge on API Management concepts and fundamentals.
• Should have exposure to Integration with Salesforce, Workday, and Database.
• Should have a good understanding of HTTP and HTTPS protocols and basic knowledge on HTTP headers, request/response, XML/JSON data structure, SOAP/REST services.
• Experience on any enterprise service bus product and/or JMS messaging.
• Should have knowledge on MUnit to automate testing.
• Experience on Oracle SOA, Oracle B2B is an advantage.
• Client facing roles so good communication skills are a must.

Are you passionate in coding, art and blockchain? Do you wish to face challenges ahead, develop and deliver features that will be extraordinary towards users? We are looking for experienced developers (blockchain, frontend, backend) to join our team and start a revolution!

About the role as a full stack engineer at Torum, you will be remotely working alongside our core development team from India, Turkey, Malaysia and other regions in the future. A good mindset of forward planning should be cultivated to better your performance!

You will also get involved in constant discussions with our Lead Developer and Operational team members regarding the ideas, concepts as well as feature specifications to further enhance our platform.

Qualifications and Experience location GMT+8 or GMT+5:30

• Ability to work remotely or on-site (if Malaysia)
• More than 2 years of hands-on experience with React JS and Redux
• Ability to communicate (verbally and writing) well with the team in English
• Possess strong logics and understanding to come up with optimum solution in JS programming
• Played an active role in the design and architecture of the solutions
• Experience in creating apps with high priority on user experience
• Passion for best design, developing and coding practices
• Maximizing application performance, uptime, and scalability, maintaining high standards of code quality and thoughtful application design
• Excellent debugging and optimization skills
• Unit/integration testing experience

Highly Favored Personality & Experience 

• Passionate
• Eager to learn and explore new things
• Trustworthy, easy-going, and honesty
• Experience with Solidity
• More than 1 year of experience with Web3 JS
• Good software engineering skills, insights, and experience
• Good knowledge of cryptography
• Hands-on experience with back-end framework and database is a bonus (Preferably Node.js and MongoDB)
• Experience in leading, or being a Senior/Lead in the front-end team to build, constantly improve and optimize a commercial level product, with a decent user base is a bonus
• Experience in building large-scale apps like Social Media, E-commerce, etc. where performance, scalability, and availability are the top priorities

Responsibilities:

• Writing reusable, testable, and efficient code

• Design and implementation of low-latency, high-availability, and performant applications

• Integration of user-facing elements developed by front-end developers with server side logic

• Implementation of security and data protection

• Integration of data storage solutions (may include databases, key-value stores, blob stores, etc.)

• Expert in Python, with knowledge of at least one Python web framework (such as Django, Flask, etc depending on your technology stack)

• Familiarity with some ORM (Object Relational Mapper) libraries

• Able to integrate multiple data sources and databases into one system

• Understanding of the threading limitations of Python, and multi-process architecture

• Good understanding of server-side templating languages (such as Jinja 2, Mako, etc depending on your technology stack)

• Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3

• Understanding of accessibility and security compliance (depending on the specific project)

• Knowledge of user authentication and authorization between multiple systems, servers, and environments

• Understanding of fundamental design principles behind a scalable application

• Familiarity with event-driven programming in Python

• Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform

• Able to create database schemas that represent and support business processes

• Strong unit test and debugging skills

• Basic knowledge of machine learning algorithm and libraries like keras, tensorflow, sklearn.