Data Scientist

Must have 3+ years of experience in Data Analytics / Data Analysis roles

Mandatory (Experience 2) – Strong hands-on expertise in SQL, Advanced Excel, Tableau, and Power BI

Mandatory (Experience 3) – Proven experience in data extraction, data cleaning, transformation, dashboarding, and reporting

Mandatory (Core Skills) – Expertise in SQL, Data Analysis, Data Visualization, Reporting, Statistical Analysis, Data Validation, and Dashboard Creation

Mandatory (Technical Skills) – Strong understanding of databases, large datasets, KPI reporting, and analytical techniques

Mandatory (Company) – Candidates from B2C product-based companies will be preferred OR working at or having prior experience with Mu Sigma will be given high priority

REVIEW CRITERIA:

MANDATORY:

• Strong Senior/Lead DevOps Engineer Profile
• Must have 8+ years of hands-on experience in DevOps engineering, with a strong focus on AWS cloud infrastructure and services (EC2, VPC, EKS, RDS, Lambda, CloudFront, etc.).
• Must have strong system administration expertise (installation, tuning, troubleshooting, security hardening)
• Must have solid experience in CI/CD pipeline setup and automation using tools such as Jenkins, GitHub Actions, or similar
• Must have hands-on experience with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Ansible
• Must have strong database expertise across MongoDB and Snowflake (administration, performance optimization, integrations)
• Must have experience with monitoring and observability tools such as Prometheus, Grafana, ELK, CloudWatch, or Datadog
• Must have good exposure to containerization and orchestration using Docker and Kubernetes (EKS)
• Must be currently working in an AWS-based environment (AWS experience must be in the current organization)
• Its an IC role

PREFERRED:

• Must be proficient in scripting languages (Bash, Python) for automation and operational tasks.
• Must have strong understanding of security best practices, IAM, WAF, and GuardDuty configurations.
• Exposure to DevSecOps and end-to-end automation of deployments, provisioning, and monitoring.
• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
• Candidates from NCR region only (No outstation candidates).

ROLES AND RESPONSIBILITIES:

We are seeking a highly skilled Senior DevOps Engineer with 8+ years of hands-on experience in designing, automating, and optimizing cloud-native solutions on AWS. AWS and Linux expertise are mandatory. The ideal candidate will have strong experience across databases, automation, CI/CD, containers, and observability, with the ability to build and scale secure, reliable cloud environments.

KEY RESPONSIBILITIES:

Cloud & Infrastructure as Code (IaC)-

• Architect and manage AWS environments ensuring scalability, security, and high availability.
• Implement infrastructure automation using Terraform, CloudFormation, and Ansible.
• Configure VPC Peering, Transit Gateway, and PrivateLink/Connect for advanced networking.

CI/CD & Automation:

• Build and maintain CI/CD pipelines (Jenkins, GitHub, SonarQube, automated testing).
• Automate deployments, provisioning, and monitoring across environments.

Containers & Orchestration:

• Deploy and operate workloads on Docker and Kubernetes (EKS).
• Implement IAM Roles for Service Accounts (IRSA) for secure pod-level access.
• Optimize performance of containerized and microservices applications.

Monitoring & Reliability:

• Implement observability with Prometheus, Grafana, ELK, CloudWatch, M/Monit, and Datadog.
• Establish logging, alerting, and proactive monitoring for high availability.

Security & Compliance:

• Apply AWS security best practices including IAM, IRSA, SSO, and role-based access control.
• Manage WAF, Guard Duty, Inspector, and other AWS-native security tools.
• Configure VPNs, firewalls, and secure access policies and AWS organizations.

Databases & Analytics:

• Must have expertise in MongoDB, Snowflake, Aerospike, RDS, PostgreSQL, MySQL/MariaDB, and other RDBMS.
• Manage data reliability, performance tuning, and cloud-native integrations.
• Experience with Apache Airflow and Spark.

IDEAL CANDIDATE:

• 8+ years in DevOps engineering, with strong AWS Cloud expertise (EC2, VPC, TG, RDS, S3, IAM, EKS, EMR, SCP, MWAA, Lambda, CloudFront, SNS, SES etc.).
• Linux expertise is mandatory (system administration, tuning, troubleshooting, CIS hardening etc).
• Strong knowledge of databases: MongoDB, Snowflake, Aerospike, RDS, PostgreSQL, MySQL/MariaDB, and other RDBMS.
• Hands-on with Docker, Kubernetes (EKS), Terraform, CloudFormation, Ansible.
• Proven ability with CI/CD pipeline automation and DevSecOps practices.
• Practical experience with VPC Peering, Transit Gateway, WAF, Guard Duty, Inspector and advanced AWS networking and security tools.
• Expertise in observability tools: Prometheus, Grafana, ELK, CloudWatch, M/Monit, and Datadog.
• Strong scripting skills (Shell/bash, Python, or similar) for automation.
• Bachelor / Master’s degree
• Effective communication skills

PERKS, BENEFITS AND WORK CULTURE:

• Competitive Salary Package
• Generous Leave Policy
• Flexible Working Hours
• Performance-Based Bonuses
• Health Care Benefits

V Patrol is hiring for the role of Management Trainee!

About the Role:

• The Management Trainee program is a fast-track career development initiative designed to groom future leaders.
• This program equips trainees with a comprehensive understanding of the organization’s operations, strategies, and leadership principles.
• Trainees will undergo structured training and rotational assignments, gaining hands-on experience in various departments.

Responsibilities of the Candidate:

• Training and Development:
• Attend and actively participate in workshops, seminars, and training programs.
• Acquire knowledge of business operations, company policies, and industry trends.
• Departmental Rotations:
• Work across various departments to understand their roles, workflows, and contributions.
• Collaborate with teams on projects to gain practical experience.
• Leadership Exposure:
• Shadow managers and team leaders to observe decision-making and leadership strategies.
• Participate in meetings and contribute to discussions on strategic initiatives.
• Project Management:
• Take ownership of assigned projects and deliver results within set timelines.
• Analyze performance metrics, identify gaps, and propose actionable solutions.
• Performance Analysis:
• Monitor and report on the progress of assigned tasks and projects.
• Provide insights and recommendations to improve efficiency and productivity.
• Problem-Solving and Innovation:
• Identify challenges within workflows and propose innovative solutions.
• Support teams in the implementation of process improvements.
• Progress Monitoring and Evaluation:
• Set personal and professional development goals and track progress.
• Receive regular feedback from mentors and supervisors to enhance performance.

Qualifications and Skills:

• Education:
• Bachelor’s degree in [relevant field, e.g., Business Administration, Management, Finance, etc.].
• MBA or relevant postgraduate qualification is a plus.
• Experience:
• Fresh graduates or professionals with up to 2 years of experience.
• Skills and Competencies:
• Strong leadership potential and decision-making skills.
• Excellent communication and interpersonal abilities.
• Analytical mindset with problem-solving aptitude.
• Adaptability and resilience in a dynamic work environment

• 3+ year of experience in Development in JAVA technology.
• Strong Java Basics
• SpringBoot or Spring MVC
• Hands on experience on Relationl Databases (SQL query or Hibernate) + Mongo (JSON parsing)
• Proficient in REST API development
• Messaging Queue (RabitMQ or Kafka)
• Microservices
• Any Caching Mechanism
• Good at problem solving

Good to Have Skills:

• 4+ years of experience in using Java/J2EE tech stacks
• Good understanding of data structures and algorithms.
• Excellent analytical and problem solving skills.
• Ability to work in a fast paced internet start-up environment.
• Experience in technical mentorship/coaching is highly desirable.
• Understanding of AI/ML algorithms is a plus.