Sales Engineer-Elevator

Key Responsibilities:

1️⃣ Recruitment & Onboarding – Sourcing candidates, conducting interviews, and managing new hire onboarding.

2️⃣ Employee Engagement – Organizing team activities, feedback sessions, and HR initiatives.

3️⃣ Payroll & Compliance – Managing salary processing, attendance, and statutory compliance.

4️⃣ Performance Management – Assisting in appraisals, goal setting, and feedback collection.

5️⃣ HR Policies & Documentation – Maintaining employee records, drafting policies, and handling grievances.

6️⃣ Training & Development – Coordinating learning programs and skill development sessions.

7️⃣ Exit Process Management – Handling resignations, full & final settlements, and exit interviews.

Responsibilities:

• Develop, test, implement and maintain application software
• Take part in software and architectural development activities
• Debug application issues and helping support respond to client queries
• Participate in application development meetings
• Provide accurate estimates, clearly communicate status of tasks and identification of risks
• Commitment to accomplishing the task at hand and identify the fastest and most reliable way to solve a problem
• Performance tuning of application code at different service levels
• Interact with customers of the application and help address issues reported

Requirements:

• Bachelor's degree in Computer Science or equivalent
• 1-3 years of experience with Java and Spring frameworks.
• Having good knowledge in a scripting language like python is a plus
• Experience with Spring and Hibernate/ ORM
• Understanding of relational database and normal forms
• Understanding of NoSQL / RDBMS (Mongo or Postgres) and ability to write optimized and high performing queries
• Strong understanding of Java concurrency, concurrency patterns, experience building thread safe code
• Experience building RESTful web services
• Strong written and verbal communication skills
• Strong interpersonal skills and time management skills
• Strong problem solving and analytical skills
• Experience with GIT as a VCS, Unix based systems
• Experience with NoSQL Database is a plus
• Following are a set of 'good to have' skills React AWS Bitbucket, JIRA

Profile: Software Developer

Experience: 5 +Years

Location - Ahmedabad

Key skills: .NET Core, Angular, MVC & MYSQL

KEY RESPONSIBILITIES

• Design, build, and maintain high-performance, reusable, and reliable code.
• Can work solely or as a team player for existing and upcoming projects.
• Ability to work independently and within a team
• Understanding of the Software Development Life cycle.
• Good understanding of object-oriented design principles
• 
  

SKILLS AND EXPERIENCE

• At least 5 yrs. of experience in Web application
• At least 5 yrs. of experience in MS SQL Server
• Expert in Angular, Web APIs
• Knowledge of object-oriented programming, SOLID principles, and design patterns
• Excellent problem-solving skills
• Must communicate in English effectively
• Analyze the existing codebase
• Design and implement solutions
• Collaborate with other developers to refactor and improve the efficiency of the code.
• Ensure that the software adheres to best practices in coding and architecture.
• Guide and mentor junior developers in performance optimization techniques.
• Should have understanding and experience of software development best practices/clean coding practices/clean coding practices
• Attention to detail and commitment to high-quality/error-free deliverables
• Conduct code reviews and provide feedback to ensure code quality and performance.
• Time Flexibility
• Stay up to date with the latest trends and technologies in software development and performance optimization.
• Familiar with Jira and Bitbucket
• Familiarity with cloud-native Dev Ops automation & building CI/CD pipelines

Job Title: Talent Acquisition Executive.

Reporting: Talent Acquisition Manager

Location: Bangalore (Work from home till further confirmation)

Company URL: http://www.sportzvillage.com">www.sportzvillage.com

About – Talent Acquisition Executive, Sportz Village

We are looking out for a bright and qualified Talent Acquisition specialist to join our team. He/she will be primarily accountable for Inviting job applications, Sourcing, Screening, Shortlisting, Interviewing, and Onboarding the right mix of skilled human resources as per the organizational needs, especially the sports enthusiasts.!! 😊

As acquiring talented people is getting harder, your position will play a crucial role for our company to stay competitive in the market!!

Key Accountabilities

• Screen candidates resumes and job applications
• Source and recruit candidates by using databases, job Portals, social media, employee referrals etc.
• Performing in-person and phone interviews with candidates
• Assess applicants’ relevant knowledge, skills, soft skills, experience, and aptitudes.
• Making recommendations to company hiring managers.
• Coordinating interviews with the hiring managers.
• Following up on the interview process status.
• Rolling our offers and getting the candidate join on time.
• Maintaining relationships with team to ensure staffing goals are achieved.
• Communicating employer information and benefits during screening process.
• Staying current on the company’s organization structure, personnel policy, and federal and  
• Serving as a liaison with federations, colleges, and industry associations.
• Completing timely reports on employment activity.

Requirements

• Good to have Bachelors’/Master’s degree in human resource.
• Must have - good knowledge in recruitment
• Good communication skills
• High level of relationship orientation  
• Proficiency in MS Office

Job Summary

Cloud Production Support Engineer(PSE) is responsible for fulfilling the day-to-day infrastructure and service requests from the application teams across AWS, CI/CD solutions and observability tools. You will be expected to handle production issues in collaboration with the cloud Infrastructure and application teams.

Responsibilities and Duties

• Troubleshoot production Issues: When technical issues with the cloud infrastructure components arise, PSE must act quickly to analyse the available data and find the root cause of the problem. They may then develop a solution or escalate the problem to other engineering team members while providing stakeholders with progress updates.
• Infrastructure provisioning and modification: Application teams may request to create new infrastructure or modify the existing ones in AWS based on their requirements via the ticketing tool. PSE should ensure that the required data/info is available on the ticket and provide a resolution based on the given SLA.
• Alert Management: Alerts from the observability tools will be received on multiple channels according to the notification settings. PSEs are expected to acknowledge the alerts, troubleshoot the issue, close the alert based on the given SLA, or escalate to the cloud infra/DevOps team for further diagnosis.
• Onboarding, Off-boarding and access management: Whenever an employee joins or leaves the organization, you will receive an onboarding or offboarding request.
• Prepare Technical Documentation: PSEs must prepare documentation when logging product issues, as they must note all details, including their observations, diagnoses, and action steps. Other everyday tasks include weekly reports summarising production performance, upgrade release notes, and troubleshooting guides.
• Product Improvements: Since PSEs have good exposure to the product issues, they should work closely with the PMs+EMs, pass the feedback on the product, and get the improvements/fixes included in the product roadmap.
• Adherence to SLA and timelines: PSEs should always adhere to the timelines shared with other teams for closure of fixes and deliver outcomes as per the SLA guidance agreed with business teams
• Reporting: Report & track weekly regarding SLA metrics, tickets being worked and closed by PSEs/transferred tickets. Identify and devise how productivity can be captured at the individual level and report the same monthly.

Qualifications and Skills

• Degree in Computer Science/Information Technology.
• Two years or more experience in Cloud and system administration.
• Experience troubleshooting in complex environments using monitoring tools.
• Demonstrated experience with containerisation technologies (Docker, Kubernetes, etc.)
• Hands-on experience with the most common AWS services.

Roles and Responsibilities:

• Design, develop, and maintain the end-to-end MLOps infrastructure from the ground up, leveraging open-source systems across the entire MLOps landscape.
• Creating pipelines for data ingestion, data transformation, building, testing, and deploying machine learning models, as well as monitoring and maintaining the performance of these models in production.
• Managing the MLOps stack, including version control systems, continuous integration and deployment tools, containerization, orchestration, and monitoring systems.
• Ensure that the MLOps stack is scalable, reliable, and secure.

Skills Required:

• 3-6 years of MLOps experience
• Preferably worked in the startup ecosystem

Primary Skills:

• Experience with E2E MLOps systems like ClearML, Kubeflow, MLFlow etc.
• Technical expertise in MLOps: Should have a deep understanding of the MLOps landscape and be able to leverage open-source systems to build scalable, reliable, and secure MLOps infrastructure.
• Programming skills: Proficient in at least one programming language, such as Python, and have experience with data science libraries, such as TensorFlow, PyTorch, or Scikit-learn.
• DevOps experience: Should have experience with DevOps tools and practices, such as Git, Docker, Kubernetes, and Jenkins.

Secondary Skills:

• Version Control Systems (VCS) tools like Git and Subversion
• Containerization technologies like Docker and Kubernetes
• Cloud Platforms like AWS, Azure, and Google Cloud Platform
• Data Preparation and Management tools like Apache Spark, Apache Hadoop, and SQL databases like PostgreSQL and MySQL
• Machine Learning Frameworks like TensorFlow, PyTorch, and Scikit-learn
• Monitoring and Logging tools like Prometheus, Grafana, and Elasticsearch
• Continuous Integration and Continuous Deployment (CI/CD) tools like Jenkins, GitLab CI, and CircleCI
• Explain ability and Interpretability tools like LIME and SHAP