
Greetings!!
We are looking for an Oracle HCM Functional consultant for one of our premium clients for their Chennai location.
Requirement:
• Provide Oracle HCM Cloud Fusion functional consulting services by acting as subject matter expert and leading clients through the entire cloud application services implementation lifecycle for Oracle HCM Cloud Fusion projects.
• Experience in Core HR, Time and labour, Talent Management, Recruiting, Payroll, Absence module (any 3 module).
• Identify business requirements and map them to the Oracle HCM Cloud Fusion functionality.
• Identify functionality gaps in Oracle HCM Cloud Fusion, and build extensions for them.
• Advise the client on options, risks, and any impacts on other processes or systems.
• Configure the Oracle HCM Cloud Fusion Applications to meet client requirements and document application set-ups.
• Write business requirement documents for reports, interfaces, data conversions and application extensions for Oracle HCM Cloud Fusion projects.
• Assist client in preparing validation scripts, testing scenarios and developing test scripts for Oracle HCM Cloud Fusion projects.
• Support clients with the execution of test scripts.
• Effectively communicate and drive project deliverables for Oracle HCM Cloud Fusion projects.
• Complete tasks efficiently and in a timely manner.
• Interact with the project team members responsible for developing reports, interfaces, data conversion programs, and application extensions.
• Provide status and issue reports to the project manager/client on a regular basis.
• Share knowledge to continually improve implementation methodology for Oracle HCM Cloud Fusion projects.

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Job Title : Azure DevOps Engineer
Experience Required : 7+ Years
Work Mode : Remote / Hybrid
Location : Remote
Notice Period : Immediate Joiners / Serving Candidates (within 20 days only)
Interview Mode : Face-to-Face or Virtual
Open Positions : 2
Job Description :
We are seeking an experienced Azure DevOps Engineer with 7+ years of relevant experience in DevOps practices, especially around Azure infrastructure, deployment automation, and CI/CD pipeline management. The ideal candidate should have hands-on expertise with Azure DevOps, GitHub, YAML, and Azure services, along with solid communication and coordination capabilities.
Mandatory Skills : Azure DevOps, GitHub Actions, YAML, Bicep, Azure services (App Gateway, WAF, NSG, CosmosDB, Storage Accounts), Unix scripting, and Azure Fundamentals certification.
Key Responsibilities :
- Manage deployments for Dynamics 365 and proxy applications
- Run and maintain ADO pipelines and GitHub Actions
- Ensure proper status updates on ADO Boards and deployed work items
- Coordinate with QA teams to execute smoke testing post-deployment
- Communicate deployment progress across team channels effectively
- Monitor deployment cycles, approval gates, logs, and alerts
- Ensure smooth integration of infrastructure and DevOps practices
Mandatory Skills :
- Minimum 7+ years in DevOps, with strong experience in Azure DevOps (ADO).
- Proven expertise in building pipelines using Azure DevOps and GitHub.
- Proficiency in Bicep, YAML scripting, and Azure Infrastructure-as-Code (IaC).
- Hands-on with Azure services like :
- App Gateway, WAF, NSG, CosmosDB, Storage Accounts.
- vNet, Managed Identity, KeyVault, AppConfig, App Insights.
- Basic Azure Fundamentals Certification (AZ-900).
- Excellent communication skills in English.
Nice to Have :
- Experience in managing large enterprise-scale deployments.
- Familiarity with branching strategies and monitoring tools.
- Exposure to Approval Gates and Deployment Governance.
- Experience using AWS (that’s just common sense)
- Experience designing and building web environments on AWS, which includes working with services like EC2, ELB, RDS, and S3
- Experience building and maintaining cloud-native applications
- A solid background in Linux/Unix and Windows server system administration
- Experience using https://www.simplilearn.com/tutorials/devops-tutorial/devops-tools" target="_blank">DevOps tools in a cloud environment, such as Ansible, Artifactory, https://www.simplilearn.com/tutorials/docker-tutorial/what-is-docker-container" target="_blank">Docker, GitHub, https://www.simplilearn.com/tutorials/jenkins-tutorial/what-is-jenkins" target="_blank">Jenkins, https://www.simplilearn.com/tutorials/kubernetes-tutorial/what-is-kubernetes" target="_blank">Kubernetes, Maven, and Sonar Qube
- Experience installing and configuring different application servers such as JBoss, Tomcat, and WebLogic
- Experience using monitoring solutions like CloudWatch, ELK Stack, and Prometheus
- An understanding of writing Infrastructure-as-Code (IaC), using tools like CloudFormation or Terraform
- Knowledge of one or more of the most-used programming languages available for today’s cloud computing (i.e., SQL data, XML data, R math, Clojure math, Haskell functional, Erlang functional, Python procedural, and Go procedural languages)
- Experience in troubleshooting distributed systems
- Proficiency in script development and scripting languages
- The ability to be a team player
- The ability and skill to train other people in procedural and technical topics
- Strong communication and collaboration skills
As a special aside, an AWS engineer who works in DevOps should also have experience with:
- The theory, concepts, and real-world application of Continuous Delivery (CD), which requires familiarity with tools like AWS CodeBuild, AWS CodeDeploy, and AWS CodePipeline
- An understanding of automation
Job Summary:
Seeking a seasoned SQL + ETL Developer with 4+ years of experience in managing large-scale datasets and cloud-based data pipelines. The ideal candidate is hands-on with MySQL, PySpark, AWS Glue, and ETL workflows, with proven expertise in AWS migration and performance optimization.
Key Responsibilities:
- Develop and optimize complex SQL queries and stored procedures to handle large datasets (100+ million records).
- Build and maintain scalable ETL pipelines using AWS Glue and PySpark.
- Work on data migration tasks in AWS environments.
- Monitor and improve database performance; automate key performance indicators and reports.
- Collaborate with cross-functional teams to support data integration and delivery requirements.
- Write shell scripts for automation and manage ETL jobs efficiently.
Required Skills:
- Strong experience with MySQL, complex SQL queries, and stored procedures.
- Hands-on experience with AWS Glue, PySpark, and ETL processes.
- Good understanding of AWS ecosystem and migration strategies.
- Proficiency in shell scripting.
- Strong communication and collaboration skills.
Nice to Have:
- Working knowledge of Python.
- Experience with AWS RDS.
Skills We Require:- Dev Ops, AWS Admin, terraform, Infrastructure as a Code
SUMMARY:-
- Implement integrations requested by customers
- Deploy updates and fixes
- Provide Level 2 technical support
- Build tools to reduce occurrences of errors and improve customer experience
- Develop software to integrate with internal back-end systems
- Perform root cause analysis for production errors
- Investigate and resolve technical issues
- Develop scripts to automate visualization
- Design procedures for system troubleshooting and maintenance
Have good hands on experience on Dev Ops, AWS Admin, terraform, Infrastructure as a Code
Have knowledge on EC2, Lambda, S3, ELB, VPC, IAM, Cloud Watch, Centos, Server Hardening
Ability to understand business requirements and translate them into technical requirements
A knack for benchmarking and optimizationWhat the role needs
● Review of current DevOps infrastructure & redefine code merging strategy as per product roll out objectives
● Define deploy frequency strategy based on product roadmap document and ongoing product market fit relate tweaks and changes
● Architect benchmark docker configurations based on planned stack
● Establish uniformity of environment across developer machine to multiple production environments
● Plan & execute test automation infrastructure
● Setup automated stress testing environment
● Plan and execute logging & stack trace tools
● Review DevOps orchestration tools & choices
● Coordination with external data centers and AWS in the event of provisioning, outages or maintenance.
Requirements
● Extensive experience with AWS cloud infrastructure deployment and monitoring
● Advanced knowledge of programming languages such as Python and golang, and writing code and scripts
● Experience with Infrastructure as code & devops management tools - Terraform, Packer for devops asset management for monitoring, infrastructure cost estimations, and Infrastructure version management
● Configure and manage data sources like MySQL, MongoDB, Elasticsearch, Redis, Cassandra, Hadoop, etc
● Experience with network, infrastructure and OWASP security standards
● Experience with web server configurations - Nginx, HAProxy, SSL configurations with AWS, understanding & management of sub-domain based product rollout for clients .
● Experience with deployment and monitoring of event streaming & distributing technologies and tools - Kafka, RabbitMQ, NATS.io, socket.io
● Understanding & experience of Disaster Recovery Plan execution
● Working with other senior team members to devise and execute strategies for data backup and storage
● Be aware of current CVEs, potential attack vectors, and vulnerabilities, and apply patches as soon as possible
● Handle incident responses, troubleshooting and fixes for various services
Role : Principal Devops Engineer
About the Client
It is a Product base company that has to build a platform using AI and ML technology for their transportation and logiticsThey also have a presence in the global market
Responsibilities and Requirements
• Experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure
• Knowledge in Linux/Unix Administration and Python/Shell Scripting
• Experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure
• Knowledge in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios
• Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms
• Experience in enterprise application development, maintenance and operations
• Knowledge of best practices and IT operations in an always-up, always-available service
• Excellent written and oral communication skills, judgment and decision-making skill
We are hiring for a Lead DevOps Engineer in Cloud domain with hands on experience in Azure / GCP.
- Expertise in managing Cloud / VMWare resources and good exposure on Dockers/Kubernetes
- Working knowledge of operating systems( Unix, Linux, IBM AIX)
- Experience in installation, configuration and managing apache webserver, Tomcat/Jboss
- Good understanding of JVM, troubleshooting and performance tuning through thread dump and log analysis
-Strong expertise in Dev Ops tools:
- Deployment (Chef/Puppet/Ansible /Nebula/Nolio)
- SCM (TFS, GIT, ClearCase)
- Build tools (Ant,Maven, Make, Gradle)
- Artifact repositories (Nexes, JFrog ArtiFactory)
- CI tools (Jenkins, TeamCity),
- Experienced in scripting languages: Python, Ant, Bash and Shell
What will be required of you?
- Responsible for implementation and support of application/web server infrastructure for complex business applications
- Server configuration management, release management, deployments, automation & troubleshooting
- Set-up and configure Development, Staging, UAT and Production server environment for projects and install/configure all dependencies using the industry best practices
- Manage Code Repositories
- Manage, Document, Control and Innovate Development and Release procedure.
- Configure automated deployment on multiple environment
- Hands-on working experience of Azure or GCP.
- Knowledge Transfer the implementation to support team and until such time support any production issues
Location – Pune
Experience - 1.5 to 3 YR
Payroll: Direct with Client
Salary Range: 3 to 5 Lacs (depending on existing)
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• Good understanding and Experience on AWS CloudWatch for ES2, Amazon Web Services, and Resources, and other sources.
• Collect and Store logs
• Monitor and Store Logs
• Log Analyze
• Configure Alarm
• Configure Dashboard
• Preparation and following of SOP's, Documentation.
• Good understanding AWS in DevOps.
• Experience with AWS services ( EC2, ECS, CloudWatch, VPC, Networking )
• Experience with a variety of infrastructure, application, and log monitoring tools ~ Prometheus, Grafana,
• Familiarity with Docker, Linux, and Linux security
• Knowledge and experience with container-based architectures like Docker
• Experience on performing troubleshooting on AWS service.
• Experience in configuring services in AWS like EC2, S3, ECS
• Experience with Linux system administration and engineering skills on Cloud infrastructure
• Knowledge of Load Balancers, Firewalls, and network switching components
• Knowledge of Internet-based technologies - TCP/IP, DNS, HTTP, SMTP & Networking concepts
• Knowledge of security best practices
• Comfortable 24x7 supporting Production environments
• Strong communication skills
- Experience in implementing DevOps practices and DevOps-tools in areas like CI/CD using Jenkins environment automation, and release automation, virtualization, infra as a code or metrics tracking.
- Hands on experience in DevOps tools configuration in different environments.
- Strong knowledge of working with DevOps design patterns, processes and best practices
- Hand-on experience in Setting up Build pipelines.
- Prior working experience in system administration or architecture in Windows or Linux.
- Must have experience in GIT (BitBucket, GitHub, GitLab)
- Hands-on experience on Jenkins pipeline scripting.
- Hands-on knowledge in one scripting language (Nant, Perl, Python, Shell or PowerShell)
- Configuration level skills in tools like SonarQube (or similar tools) and Artifactory.
- Expertise on Virtual Infrastructure (VMWare or VirtualBox or QEMU or KVM or Vagrant) and environment automation/provisioning using SaltStack/Ansible/Puppet/Chef
- Deploying, automating, maintaining and managing Azure cloud based production systems including monitoring capacity.
- Good to have experience in migrating code repositories from one source control to another.
- Hands-on experience in Docker container and orchestration based deployments like Kubernetes, Service Fabric, Docker swarm.
- Must have good communication skills and problem solving skills










