
· Monitoring the entire customer service process.(US Process)
· Resolving customer issues brought to your attention.
· Creating procedures and policies for effective customer service.
· Planning how to train customer support professionals.
· Standardizing the customer service delivery of an organization
· Tracking the work of every customer service representative in the team.
· Performing quality assurance surveys with customers.
· Conveying customers’ feedback to the team.
· Fixing appointments according to the convenience of clients and customers.
· Interacting with customers to determine whether they have a desirable and shareable experience.
· Helping every customer service professional improve.
· Possessing the knowledge and ability to improve customer service of the organization.
· Creating a pleasant work environment for customer service professionals.
Customer Service Executive Requirements
· A minimum of 0 to 1.5 year of experience as a customer service representative.
· Superior written and oral communication skills.
· Leadership skills to guide and improve a team.
· Data entry and basic computer skills.
· Knowledge about customer relationship management systems.
· Knowledge about the best mediation and conflict resolution tactics.
· Ability to empathize with customers.
· Utmost patience while dealing with angry and agitated customers.
· Ability to respect every customer.
· Fast and efficient problem-solving skills.
· English should be fluent

About Quadron iSolutions Pvt Ltd
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Job Title: Senior AIML Engineer – Immediate Joiner (AdTech)
Location: Pune – Onsite
About Us:
We are a cutting-edge technology company at the forefront of digital transformation, building innovative AI and machine learning solutions for the digital advertising industry. Join us in shaping the future of AdTech!
Role Overview:
We are looking for a highly skilled Senior AIML Engineer with AdTech experience to develop intelligent algorithms and predictive models that optimize digital advertising performance. Immediate joiners preferred.
Key Responsibilities:
- Design and implement AIML models for real-time ad optimization, audience targeting, and campaign performance analysis.
- Collaborate with data scientists and engineers to build scalable AI-driven solutions.
- Analyze large volumes of data to extract meaningful insights and improve ad performance.
- Develop and deploy machine learning pipelines for automated decision-making.
- Stay updated on the latest AI/ML trends and technologies to drive continuous innovation.
- Optimize existing models for speed, scalability, and accuracy.
- Work closely with product managers to align AI solutions with business goals.
Requirements:
- Minimum 4-6 years of experience in AIML, with a focus on AdTech (Mandatory).
- Strong programming skills in Python, R, or similar languages.
- Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Expertise in data processing and real-time analytics.
- Strong understanding of digital advertising, programmatic platforms, and ad server technology.
- Excellent problem-solving and analytical skills.
- Immediate joiners preferred.
Preferred Skills:
- Knowledge of big data technologies like Spark, Hadoop, or Kafka.
- Experience with cloud platforms like AWS, GCP, or Azure.
- Familiarity with MLOps practices and tools.
How to Apply:
If you are a passionate AIML engineer with AdTech experience and can join immediately, we want to hear from you. Share your resume and a brief note on your relevant experience.
Join us in building the future of AI-driven digital advertising!
Job Description:
• Drive end-to-end automation from GitHub/GitLab/BitBucket to Deployment,
Observability and Enabling the SRE activities
• Guide operations support (setup, configuration, management, troubleshooting) of
digital platforms and applications
• Solid understanding of DevSecOps Workflows that support CI, CS, CD, CM, CT.
• Deploy, configure, and manage SaaS and PaaS cloud platform and applications
• Provide Level 1 (OS, patching) and Level 2 (app server instance troubleshooting)
• DevOps programming: writing scripts, building operations/server instance/app/DB
monitoring tools Set up / manage continuous build and dev project management
environment: JenkinX/GitHub Actions/Tekton, Git, Jira Designing secure networks,
systems, and application architectures
• Collaborating with cross-functional teams to ensure secure product development
• Disaster recovery, network forensics analysis, and pen-testing solutions
• Planning, researching, and developing security policies, standards, and procedures
• Awareness training of the workforce on information security standards, policies, and
best practices
• Installation and use of firewalls, data encryption and other security products and
procedures
• Maturity in understanding compliance, policy and cloud governance and ability to
identify and execute automation.
• At Wesco, we discuss more about solutions than problems. We celebrate innovation
and creativity.
About the Role
We are looking for a DevOps Engineer to build and maintain scalable, secure, and high-
performance infrastructure for our next-generation healthcare platform. You will be
responsible for automation, CI/CD pipelines, cloud infrastructure, and system reliability,
ensuring seamless deployment and operations.
Responsibilities
1. Infrastructure & Cloud Management
• Design, deploy, and manage cloud-based infrastructure (AWS, Azure, GCP)
• Implement containerization (Docker, Kubernetes) and microservices orchestration
• Optimize infrastructure cost, scalability, and performance
2. CI/CD & Automation
• Build and maintain CI/CD pipelines for automated deployments
• Automate infrastructure provisioning using Terraform, Ansible, or CloudFormation
• Implement GitOps practices for streamlined deployments
3. Security & Compliance
• Ensure adherence to ABDM, HIPAA, GDPR, and healthcare security standards
• Implement role-based access controls, encryption, and network security best
practices
• Conduct Vulnerability Assessment & Penetration Testing (VAPT) and compliance
audits
4. Monitoring & Incident Management
• Set up monitoring, logging, and alerting systems (Prometheus, Grafana, ELK,
Datadog, etc.)
• Optimize system reliability and automate incident response mechanisms
• Improve MTTR (Mean Time to Recovery) and system uptime KPIs
5. Collaboration & Process Improvement
• Work closely with development and QA teams to streamline deployments
• Improve DevSecOps practices and cloud security policies
• Participate in architecture discussions and performance tuning
Required Skills & Qualifications
• 2+ years of experience in DevOps, cloud infrastructure, and automation
• Hands-on experience with AWS and Kubernetes
• Proficiency in Docker and CI/CD tools (Jenkins, GitHub Actions, ArgoCD, etc.)
• Experience with Terraform, Ansible, or CloudFormation
• Strong knowledge of Linux, shell scripting, and networking
• Experience with cloud security, monitoring, and logging solutions
Nice to Have
• Experience in healthcare or other regulated industries
• Familiarity with serverless architectures and AI-driven infrastructure automation
• Knowledge of big data pipelines and analytics workflows
What You'll Gain
• Opportunity to build and scale a mission-critical healthcare infrastructure
• Work in a fast-paced startup environment with cutting-edge technologies
• Growth potential into Lead DevOps Engineer or Cloud Architect roles
Experience with Linux infrastructure, opensource databases (mysql, postgres etc), CI/CD tools Jenkins, Gitlab, Nexus Repository, Jira, Agile workflow and Kanban.
- Solid understanding of IP network and TCP/IP
- Minimum of 7+ years’ work experience in IT
- Minimum of 4+ years experience as DevOps Enginneer
- Good interpersonal skills and communication written and oral.
- 3 - 6 years of software development, and operations experience deploying and maintaining multi-tiered infrastructure and applications at scale.
- Design cloud infrastructure that is secure, scalable, and highly available on AWS
- Experience managing any distributed NoSQL system (Kafka/Cassandra/etc.)
- Experience with Containers, Microservices, deployment and service orchestration using Kubernetes, EKS (preferred), AKS or GKE.
- Strong scripting language knowledge, such as Python, Shell
- Experience and a deep understanding of Kubernetes.
- Experience in Continuous Integration and Delivery.
- Work collaboratively with software engineers to define infrastructure and deployment requirements
- Provision, configure and maintain AWS cloud infrastructure
- Ensure configuration and compliance with configuration management tools
- Administer and troubleshoot Linux-based systems
- Troubleshoot problems across a wide array of services and functional areas
- Build and maintain operational tools for deployment, monitoring, and analysis of AWS infrastructure and systems
- Perform infrastructure cost analysis and optimization
- AWS
- Docker
- Kubernetes
- Envoy
- Istio
- Jenkins
- Cloud Security & SIEM stacks
- Terraform
Engineering Leader, Cloud Infrastructure.
Bengaluru, Karnataka, India
Do you thrive on solving complex technical problems? Do you want to be at the cutting edge of technology? If so,we’re interested in speaking with you!
Your Impact:
We’re looking for a seasoned engineering leader in the Cloud team that is responsible for building, operating, and maintaining a customer-facing DBaaS service in multiple public clouds (AWS, GCP, and Azure). The service supports unified multiverse management of YugabyteDB, including fault-domain aware provisioning, rolling upgrades, security,
networking, monitoring, and day-2 operations (backups, scaling, billing etc). If you’re a strong leader who exemplifies collaboration, who is driven and thrive in a fast-paced startup environment, and who has a strong desire to build an internet-scale, extensible cloud based service with strong emphasis on simplicity and user experience, this job is for
you.
You Will:
Lead, inspire, and influence to make sure your team is successful
Partner with the recruiting team to attract and retain high-quality and diverse talent
Establish great rapport with other development teams, Product Managers, Sales and Customer Success tomaintain high levels of visibility, efficiency, and collaboration
Ensure teams have appropriate technical direction, leadership and balance between short-term impact andlong term architectural vision.
Occasionally contributing to development tasks such as coding and feature verifications to assist teamswith release commitments, to gain an understanding of the deeply technical product as well as to keepyour technical acumen sharp.
You'll need:
BS/MS degree in CS-or- a related field with 5+ years of engineering management experience leading productive, high-functioning teams
Strong fundamentals in distributed systems design and development
Ability to hire while ensuring a high hiring bar, keep engineers motivated, coach/mentor, and handle performance management
Experience running production services in Public Clouds such as AWS, GCP, and Azure
Experience with running large stateful data systems in the Cloud
Prior knowledge of Cloud architecture and implementation features (multi-tenancy, containerization,orchestration, elastic scalability)
A great track record of shipping features and hitting deadlines consistently; should be able to move fast,build in increments and iterate; have a sense of urgency, aggressive mindset towards achieving results and excellent prioritization skills; able to anticipate future technical needs for the product and craft plans to realize them
Ability to influence the team, peers, and upper management using effective communication and collaborative techniques; focused on building and maintaining a culture of collaboration within the team.
- 7-10 years experience with secure SDLC/DevSecOps practices such as automating security processes within CI/CD pipeline.
- At least 4 yrs. experience designing, and securing Data Lake & Web applications deployed to AWS, Azure, Scripting/Automation skills on Python, Shell, YAML, JSON
- At least 4 years of hands-on experience with software development lifecycle, Agile project management (e.g. Jira, Confluence), source code management (e.g. Git), build automation (e.g. Jenkins), code linting and code quality (e.g. SonarQube), test automation (e.g. Selenium)
- Hand-on & Solid understanding of Amazon Web Services & Azure-based Infra & applications
- Experience writing cloud formation templates, Jenkins, Kubernetes, Docker, and microservice application architecture and deployment.
- Strong know-how on VA/PT integration in CI/CD pipeline.
- Experience in handling financial solutions & customer-facing applications
Roles
- Accelerate enterprise cloud adoption while enabling rapid and stable delivery of capabilities using continuous integration and continuous deployment principles, methodologies, and technologies
- Manage & deliver diverse cloud [AWS, Azure, GCP] DevSecOps journeys
- Identify, prototype, engineer, and deploy emerging software engineering methodologies and tools
- Maximize automation and enhance DevSecOps pipelines and other tasks
- Define and promote enterprise software engineering and DevSecOps standards, practices, and behaviors
- Operate and support a suite of enterprise DevSecOps services
- Implement security automation to decrease the loop between the development and deployment processes.
- Support project teams to adopt & integrate the DevSecOps environment
- Managing application vulnerabilities, Data security, encryption, tokenization, access management, Secure SDLC, SAST/DAST
- Coordinate with development and operations teams for practical automation solutions and custom flows.
- Own DevSecOps initiatives by providing objective, practical and relevant ideas, insights, and advice.
- Act as Release gatekeeper with an understanding of OWASP top 10 lists of vulnerabilities, NIST SP-800-xx, NVD, CVSS scoring, etc concepts
- Build workflows to ensure a successful DevSecOps journey for various enterprise applications.
- Understand the strategic direction to reach business goals across multiple projects & teams
- Collaborate with development teams to understand project deliverables and promote DevSecOps culture
- Formulate & deploy cloud automation strategies and tools
Skills
- Knowledge of the DevSecOps culture and principles.
- An understanding of cloud technologies & components
- A flair for programming languages such as Shell, Python, Java Scripts,
- Strong teamwork and communication skills.
- Knowledge of threat modeling and risk assessment techniques.
- Up-to-date knowledge of cybersecurity threats, current best practices, and the latest software.
- An understanding of programs such as Puppet, Chef, ThreatModeler, Checkmarx, Immunio, and Aqua.
- Strong know-how of Kubernetes, Docker, AWS, Azure-based deployments
- On the job learning for new programming languages, automation tools, deployment architectures
- Experience working on Linux based infrastructure
- Strong hands-on knowledge of setting up production, staging, and dev environments on AWS/GCP/Azure
- Strong hands-on knowledge of technologies like Terraform, Docker, Kubernetes
- Strong understanding of continuous testing environments such as Travis-CI, CircleCI, Jenkins, etc.
- Configuration and managing databases such as MySQL, Mongo
- Excellent troubleshooting
- Working knowledge of various tools, open-source technologies, and cloud services
- Awareness of critical concepts in DevOps and Agile principles







