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Role & Responsiblities
- DevOps Engineer will be working with implementation and management of DevOps tools and technologies.
- Create and support advanced pipelines using Gitlab.
- Create and support advanced container and serverless environments.
- Deploy Cloud infrastructure using Terraform and cloud formation templates.
- Implement deployments to OpenShift Container Platform, Amazon ECS and EKS
- Troubleshoot containerized builds and deployments
- Implement processes and automations for migrating between OpenShift, AKS and EKS
- Implement CI/CD automations.
Required Skillsets
- 3-5 years of cloud-based architecture software engineering experience.
- Deep understanding of Kubernetes and its architecture.
- Mastery of cloud security engineering tools, techniques, and procedures.
- Experience with AWS services such as Amazon S3, EKS, ECS, DynamoDB, AWS Lambda, API Gateway, etc.
- Experience with designing and supporting infrastructure via Infrastructure-as-Code in AWS, via CDK, CloudFormation Templates, Terraform or other toolset.
- Experienced with tools like Jenkins, Github, Puppet or other similar toolset.
- Experienced with monitoring functions like cloudwatch, newrelic, graphana, splunk, etc,
- Excellence in verbal and written communication, and in working collaboratively with a variety of colleagues and clients in a remote development environment.
- Proven track record in cloud computing systems and enterprise architecture and security
Job Summary:
We are seeking a highly skilled and proactive DevOps Engineer with 4+ years of experience to join our dynamic team. This role requires strong technical expertise across cloud infrastructure, CI/CD pipelines, container orchestration, and infrastructure as code (IaC). The ideal candidate should also have direct client-facing experience and a proactive approach to managing both internal and external stakeholders.
Key Responsibilities:
- Collaborate with cross-functional teams and external clients to understand infrastructure requirements and implement DevOps best practices.
- Design, build, and maintain scalable cloud infrastructure on AWS (EC2, S3, RDS, ECS, etc.).
- Develop and manage infrastructure using Terraform or CloudFormation.
- Manage and orchestrate containers using Docker and Kubernetes (EKS).
- Implement and maintain CI/CD pipelines using Jenkins or GitHub Actions.
- Write robust automation scripts using Python and Shell scripting.
- Monitor system performance and availability, and ensure high uptime and reliability.
- Execute and optimize SQL queries for MSSQL and PostgreSQL databases.
- Maintain clear documentation and provide technical support to stakeholders and clients.
Required Skills:
- Minimum 4+ years of experience in a DevOps or related role.
- Proven experience in client-facing engagements and communication.
- Strong knowledge of AWS services – EC2, S3, RDS, ECS, etc.
- Proficiency in Infrastructure as Code using Terraform or CloudFormation.
- Hands-on experience with Docker and Kubernetes (EKS).
- Strong experience in setting up and maintaining CI/CD pipelines with Jenkins or GitHub.
- Solid understanding of SQL and working experience with MSSQL and PostgreSQL.
- Proficient in Python and Shell scripting.
Preferred Qualifications:
AWS Certifications (e.g., AWS Certified DevOps Engineer) are a plus.
Experience working in Agile/Scrum environments.
Strong problem-solving and analytical skills.
Job Summary:
We are seeking a highly skilled and proactive DevOps Engineer with 4+ years of experience to join our dynamic team. This role requires strong technical expertise across cloud infrastructure, CI/CD pipelines, container orchestration, and infrastructure as code (IaC). The ideal candidate should also have direct client-facing experience and a proactive approach to managing both internal and external stakeholders.
Key Responsibilities:
- Collaborate with cross-functional teams and external clients to understand infrastructure requirements and implement DevOps best practices.
- Design, build, and maintain scalable cloud infrastructure on AWS (EC2, S3, RDS, ECS, etc.).
- Develop and manage infrastructure using Terraform or CloudFormation.
- Manage and orchestrate containers using Docker and Kubernetes (EKS).
- Implement and maintain CI/CD pipelines using Jenkins or GitHub Actions.
- Write robust automation scripts using Python and Shell scripting.
- Monitor system performance and availability, and ensure high uptime and reliability.
- Execute and optimize SQLqueries for MSSQL and PostgresQL databases.
- Maintain clear documentation and provide technical support to stakeholders and clients.
Required Skills:
- Minimum 4+ years of experience in a DevOps or related role.
- Proven experience in client-facing engagements and communication.
- Strong knowledge of AWS services – EC2, S3, RDS, ECS, etc.
- Proficiency in Infrastructure as Code using Terraform or CloudFormation.
- Hands-on experience with Docker and Kubernetes (EKS).
- Strong experience in setting up and maintaining CI/CD pipelines with Jenkins or GitHub.
- Solid understanding of SQL and working experience with MSSQL and PostgreSQL.
- Proficient in Python and Shell scripting.
Preferred Qualifications:
- AWS Certifications (e.g., AWS Certified DevOps Engineer) are a plus.
- Experience working in Agile/Scrum environments.
- Strong problem-solving and analytical skills.
Roles and Responsibilities:
▪ Data Pipeline Development: Build, deploy, and maintain efficient ETL/ELT pipelines using Azure
Data Factory, Data Factory & Azure Synapse Analytics.
▪ We are only looking for senior candidates with over 5 yrs of relevant exp with ample client
facing exp.
· Finance/Insurance experience is also a must.
▪ Data Modelling & Warehousing: Design and optimize data models, warehouses, and lakes for
structured/unstructured data.
▪ SQL & Query Optimization: Write complex SQL queries, optimize performance, and manage
databases. · Python Automation: Develop scripts for data processing, automation, and
integration using Python (Pandas, NumPy).
Technical Skills:
▪ Cloud Technologies: Azure Synapse Analytics, Azure Fabric, Azure Databricks and AWS(good to
have)
▪ Knowledge of Python, Pyspark, SQL, ETL concepts
▪ Good understanding of Insurance Operations and KPI reporting is an advantage.
Experience: 3+ years of experience in Cloud Architecture
About Company:
The company is a global leader in secure payments and trusted transactions. They are at the forefront of the digital revolution that is shaping new ways of paying, living, doing business and building relationships that pass on trust along the entire payments value chain, enabling sustainable economic growth. Their innovative solutions, rooted in a rock-solid technological base, are environmentally friendly, widely accessible and support social transformation.
Cloud Architect / Lead
- Role Overview
- Senior Engineer with a strong background and experience in cloud related technologies and architectures. Can design target cloud architectures to transform existing architectures together with the in-house team. Can actively hands-on configure and build cloud architectures and guide others.
- Key Knowledge
- 3-5+ years of experience in AWS/GCP or Azure technologies
- Is likely certified on one or more of the major cloud platforms
- Strong experience from hands-on work with technologies such as Terraform, K8S, Docker and orchestration of containers.
- Ability to guide and lead internal agile teams on cloud technology
- Background from the financial services industry or similar critical operational experience
- Recommend a migration and consolidation strategy for DevOps tools
- Design and implement an Agile work management approach
- Make a quality strategy
- Design a secure development process
- Create a tool integration strategy
- Essentail Skills:
- Docker
- Jenkins
- Python dependency management using conda and pip
- Base Linux System Commands, Scripting
- Docker Container Build & Testing
- Common knowledge of minimizing container size and layers
- Inspecting containers for un-used / underutilized systems
- Multiple Linux OS support for virtual system
- Has experience as a user of jupyter / jupyter lab to test and fix usability issues in workbenches
- Templating out various configurations for different use cases (we use Python Jinja2 but are open to other languages / libraries)
- Jenkins PIpeline
- Github API Understanding to trigger builds, tags, releases
- Artifactory Experience
- Nice to have: Kubernetes, ArgoCD, other deployment automation tool sets (DevOps)
DevOps
Engineers : Min 3 to 5 Years
Tech Leads : Min 6 to 10 Years
- Implementing & supporting CI/CD/CT pipelines at scale.
- Knowledge and experience using Chef, Puppet or Ansible automation to deploy and be able to manage Linux systems in production and CI environments.
- Extensive experience with Shell scripts (bash).
- Knowledge and practical experience of Jenkins for CI.
- Experienced in build & release management.
- Experience of deploying JVM based applications.
- Enterprise AWS deployment with sound knowledge on AWS & AWS security.
- Knowledge of encryption technologies: IPSec, SSL, SSH.
- Minimum of 2 years of experience as a Linux Systems Engineer (CentOS/Red Hat) ideally supporting a highly-available, 24x7 production environments.
- DNS providing and maintenance.
- Helpful skills: Knowledge of applications relying on Maven, Ant, Gradle, Spring Boot.
- Knowledge of app and server monitoring tools such as ELK/AppEngine.
- Excellent written, oral communication and interpersonal skills.
Job Description:
Mandatory Skills:
Should have strong working experience with Cloud technologies like AWS and Azure.
Should have strong working experience with CI/CD tools like Jenkins and Rundeck.
Must have experience with configuration management tools like Ansible.
Must have working knowledge on tools like Terraform.
Must be good at Scripting Languages like shell scripting and python.
Should be expertise in DevOps practices and should have demonstrated the ability to apply that knowledge across diverse projects and teams.
Preferable skills:
Experience with tools like Docker, Kubernetes, Puppet, JIRA, gitlab and Jfrog.
Experience in scripting languages like groovy.
Experience with GCP
Summary & Responsibilities:
Write build pipelines and IaaC (ARM templates, terraform or cloud formation).
Develop ansible playbooks to install and configure various products.
Implement Jenkins and Rundeck jobs( and pipelines).
Must be a self-starter and be able to work well in a fast paced, dynamic environment
Work independently and resolve issues with minimal supervision.
Strong desire to learn new technologies and techniques
Strong communication (written / verbal ) skills
Qualification:
Bachelor's degree in Computer Science or equivalent.
4+ years of experience in DevOps and AWS.
2+ years of experience in Python, Shell scripting and Azure.
Job Dsecription:
○ Develop best practices for team and also responsible for the architecture
○ solutions and documentation operations in order to meet the engineering departments quality and standards
○ Participate in production outage and handle complex issues and works towards Resolution
○ Develop custom tools and integration with existing tools to increase engineering Productivity
Required Experience and Expertise
○ Having a good knowledge of Terraform + someone who has worked on large TF code bases.
○ Deep understanding of Terraform with best practices & writing TF modules.
○ Hands-on experience of GCP and AWS and knowledge on AWS Services like VPC and VPC related services like (route tables, vpc endpoints, privatelinks) EKS, S3, IAM. Cost aware mindset towards Cloud services.
○ Deep understanding of Kernel, Networking and OS fundamentals
NOTICE PERIOD - Max - 30 days

Product-centric market leader in building loyalty solutions.
2. Has done Infrastructure coding using Cloudformation/Terraform and Configuration also understands it very clearly
3. Deep understanding of the microservice design and aware of centralized Caching(Redis),centralized configuration(Consul/Zookeeper)
4. Hands-on experience of working on containers and its orchestration using Kubernetes
5. Hands-on experience of Linux and Windows Operating System
6. Worked on NoSQL Databases like Cassandra, Aerospike, Mongo or
Couchbase, Central Logging, monitoring and Caching using stacks like ELK(Elastic) on the cloud, Prometheus, etc.
7. Has good knowledge of Network Security, Security Architecture and Secured SDLC practices


