Business Development Executive Freshers

About the role:

We are seeking an experienced DevOps Engineer with deep expertise in Jenkins, Docker, Ansible, and Kubernetes to architect and maintain secure, scalable infrastructure and CI/CD pipelines. This role emphasizes security-first DevOps practices, on-premises Kubernetes operations, and integration with data engineering workflows.

🛠 Required Skills & Experience

Technical Expertise

• Jenkins (Expert): Advanced pipeline development, DSL scripting, security integration, troubleshooting
• Docker (Expert): Secure multi-stage builds, vulnerability management, optimisation for Java/Scala/Python
• Ansible (Expert): Complex playbook development, configuration management, automation at scale
• Kubernetes (Expert - Primary Focus): On-premises cluster operations, security hardening, networking, storage management
• SonarQube/Code Quality (Strong): Integration, quality gate enforcement, threshold management
• DevSecOps (Strong): Security scanning, compliance automation, vulnerability remediation, workload governance
• Spark ETL/ETA (Moderate): Understanding of distributed data processing, job configuration, runtime behavior

Core Competencies

• Deep understanding of DevSecOps principles and security-first automation
• Strong troubleshooting and problem-solving abilities across complex distributed systems
• Experience with infrastructure-as-code and GitOps methodologies
• Knowledge of compliance frameworks and security standards
• Ability to mentor teams and drive best practice adoption

🎓Qualifications

• 6 - 10 Years years of hands-on DevOps
• Proven track record with Jenkins, Docker, Kubernetes, and Ansible in production environments
• Experience managing on-premises Kubernetes clusters (bare-metal preferred)
• Strong background in security hardening and compliance automation
• Familiarity with data engineering platforms and big data technologies
• Excellent communication and collaboration skills

🚀 Key Responsibilities

1.CI/CD Pipeline Architecture & Security

• Design, implement, and maintain enterprise-grade CI/CD pipelines in Jenkins with embedded security controls:
• Build greenfield pipelines and enhance/stabilize existing pipeline infrastructure
• Diagnose and resolve build, test, and deployment failures across multi-service environments
• Integrate security gates, compliance checks, and automated quality controls at every pipeline stage
• Manage and optimize SonarQube and static code analysis tooling:
• Enforce code quality and security scanning standards across all services
• Maintain organizational coding standards, vulnerability thresholds, and remediation workflows
• Automate quality gates as integral components of CI/CD processes
• Engineer optimized Docker images for Java, Scala, and Python applications:
• Implement multi-stage builds, layer optimization, and minimal base images
• Conduct image vulnerability scanning and enforce compliance policies
• Apply containerization best practices for security and performance
• Develop comprehensive Ansible automation:
• Create modular, reusable, and secure playbooks for configuration management
• Automate environment provisioning and application lifecycle operations
• Maintain infrastructure-as-code standards and version control

2.Kubernetes Platform Operations & Security

• Lead complete lifecycle management of on-premises/bare-metal Kubernetes clusters:
• Cluster provisioning, version upgrades, node maintenance, and capacity planning
• Configure and manage networking (CNI), persistent storage solutions, and ingress controllers
• Troubleshoot workload performance, resource constraints, and reliability issues
• Implement and enforce Kubernetes security best practices:
• Design and manage RBAC policies, service account isolation, and least-privilege access models
• Apply Pod Security Standards, network policies, secrets encryption, and certificate lifecycle management
• Conduct cluster hardening, security audits, monitoring, and policy governance
• Provide technical leadership to development teams:
• Guide secure deployment patterns and containerized application best practices
• Establish workload governance frameworks for distributed systems
• Drive adoption of security-first mindsets across engineering teams

3.Data Engineering Support

• Collaborate with data engineering teams on Spark-based workloads:
• Support deployment and operational tuning of Spark ETL/ETA jobs
• Understand cluster integration, job orchestration, and performance optimization
• Debug and troubleshoot Spark workflow issues in production environments

• You will be participating in feature solutioning discussions and finalizing an approach aligned with requirements.
• Preparing HLD and LLD. Making reviews of design documents
• Exploring technology and hacking way through the specific problem to accomplish desired results.
• Owning a module and delivering it end to end.
• Working in a team and at times showing leadership by taking initiatives and guiding other
• You should have evaluated new technologies and introduced relevant as and when required.
• You should have built multiple systems ground up and maintained them working.
• You should have exposed to debugging client-side production setup under crisis.

Desired Candidate Profile

Short runs at Bourdaina are 3 month fast track programs with clearly defined processes & objectives. Atleast one short run is mandatory before joining us for long haul.

Here's what you'll do day-to-day:

• Actively seeking out new sales opportunities through networking and social media.
• A sales intensive role where you help restaurants, F&B brand, Hotels and FMCG brands by selling Bourdaina products
• Demonstrating and presenting products and services.
• Account management for key clients of the organisation.
• Manage end-to-end client relationships including pitching, negotiation, contracting, billing/invoicing, and payment collection, result tracking and troubleshooting.

Here's what we're looking for:

• People with 0 - 3 years of work experience. Relevant experience in B2B sales will be great!
• Someone who comes with a strong sense of initiative and personal leadership demonstrating the ability to function independently, and comfortable working in a startup environment.
• A person who is articulate, organized, detail-oriented, and has the ability to multitask.

JOB DESCRIPTION: The Fraud Lead will manage the gameplay fraud for all poker products and work closely with the payments team to create smooth players and gameplay investigations with the outcome being a low level of fraud across the business. You will liaise directly with network partners via multiple communication channels, to assist with fraud issues via providing fast, accurate and thorough responses to numerous contacts per shift. You will be responsible for building and maintaining Gaming Integrity controls related to issues such as collusion, bots/live assistance use, money dumping and more.

Your key job responsibilities as the Fraud Lead in Pocket52 will include:

• Day to day gameplay fraud analysis to identify and prevent fraud in poker
• Ensuring that all team members follow the fraud procedures
• Constant assessment of the fraud process and constant improvement to the processes
• The role involves utilizing a number of detection and investigation techniques in-order to identify high risk accounts, unusual activity, investigates and subsequently close suspicious accounts. 
• You will be proactively investigating and reviewing the player pool for suspicious activity and building cases that result in removing any players who are a threat to the integrity of the games on the Pocket network
• Review customer transactions and gameplay to prevent fraudulent actions.
• Discover new techniques in fraud prevention and customer service using various software and applications
• Monitoring for poker rooms
• Working with the product managers and marketing team to ensure promotions cannot be abused by players

To apply for the Fraud Lead in Pocket52 you will need:

• 3+ years previous experience in managing fraud for online games
• Experience playing online poker and knowledge of the online poker games products, promotion types and customers
• Knowledge of all fraud tools and ability to access products for purpose
• Ability to query and analyse behavioural data in order to identify patterns of fraud
• Ability to manage a heavy workload, prioritising and managing the pressure that comes with managing a critical product vertical
• Technically aware, comfortable working with multiple IT systems, databases and programs
• Solid understanding of game theory optimal (GTO) poker solutions
• Conduct OSINT checks in poker fraud investigations.

• Strong Python Coding skills and OOP skills
• Should have worked on Big Data product Architecture
• Should have worked with any one of the SQL-based databases like MySQL, PostgreSQL and any one of
• NoSQL-based databases such as Cassandra, Elasticsearch etc.
• Hands on experience on frameworks like Spark RDD, DataFrame, Dataset
• Experience on development of ETL for data product
• Candidate should have working knowledge on performance optimization, optimal resource utilization, Parallelism and tuning of spark jobs
• Working knowledge on file formats: CSV, JSON, XML, PARQUET, ORC, AVRO
• Good to have working knowledge with any one of the Analytical Databases like Druid, MongoDB, Apache Hive etc.
• Experience to handle real-time data feeds (good to have working knowledge on Apache Kafka or similar tool)

• Python and Scala (Optional), Spark / PySpark, Parallel programming