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Desired Competencies (Technical/Behavioral Competency)
- . Strong knowledge of Splunk architecture, components, and deployment models (standalone, distributed, or clustered)
- Hands-on experience with Splunk forwarders, search processing, and index clustering
- Proficiency in writing SPL (Search Processing Language) queries and creating dashboards
- Familiarity with Linux/Unix systems and basic scripting (e.g., Bash, Python)
- Understanding of networking concepts and protocols (TCP/IP, syslog)
Key Responsibilities
- Deploy Splunk Enterprise or Splunk Cloud on servers or virtual environments.
- Configure indexing and search head clusters for data collection and search functionalities.
- Deploy universal or heavy forwarders to collect data from various sources and send it to the Splunk environment
- Configure data inputs (e.g., syslogs, snmp, file monitoring) and outputs (e.g., storage, dashboards)
- Identify and onboard data sources such as logs, metrics, and events.
- Use regular expressions or predefined methods to extract fields from raw data
- Configure props.conf and transforms.conf for data parsing and enrichment.
- Create and manage indexes to organize and control data storage.
- Configure roles and users with appropriate permissions using role-based access control (RBAC).
- Integrate Splunk with external authentication systems like LDAP, SAML, or Active Directory
- Monitor user activities and changes to the Splunk environment
- Optimize Splunk for better search performance and resource utilization
- Regularly monitor the status of indexers, search heads, and forwarders
- Configure backups for configurations and indexed data
- Diagnose and resolve issues like data ingestion failures, search slowness, or system errors.
- Install and manage apps and add-ons from Splunkbase or custom-built solutions.
- Create python scripts for automation and advanced data processing.
- Integrate Splunk with ITSM tools (e.g., ServiceNow), monitoring tools, or CI/CD pipelines.
- Use Splunk's REST API for automation and custom integrations
- Good to have Splunk Core Certified Admin certification
Splunk Development and Administration
- Build and optimize complex SPL (Search Processing Language) queries for dashboards, reports, and alerts.
- Develop and manage Splunk apps and add-ons, including custom Python scripts for data ingestion and enrichment.
- Onboard and validate data sources in Splunk, ensuring proper parsing, indexing, and field extractions.
We are hiring a Java Production Support Engineer with hands-on experience in Java, Spring Boot, and Splunk. You’ll be responsible for ensuring smooth functioning of our production systems by proactively monitoring, troubleshooting, and resolving issues in real time.
Key Responsibilities
- Provide L2/L3 support for Java/Spring Boot-based applications in production.
- Monitor logs and system health using Splunk and other observability tools.
- Troubleshoot performance, latency, and availability issues.
- Perform root cause analysis (RCA) and work with dev teams for permanent fixes.
- Support incident and change management processes.
- Create and maintain runbooks and support documentation.
Must-Have Skills
- Strong knowledge of Java, Spring Boot, and REST APIs.
- Proficient in using Splunk for log analysis and monitoring.
- Good understanding of relational databases (SQL) and Linux commands.
- Experience with CI/CD tools (Jenkins, Git) and basic scripting (Bash, Python).
- Analytical thinking and excellent problem-solving skills.
Devops Engineer(Permanent)
Experience: 8 to 12 yrs
Location: Remote for 2-3 months (Any Mastek Location- Chennai/Mumbai/Pune/Noida/Gurgaon/Ahmedabad/Bangalore)
Max Salary = 28 LPA (including 10% variable)
Notice Period: Immediate/ max 10days
Mandatory Skills: Either Splunk/Datadog, Gitlab, Retail Domain
· Bachelor’s degree in Computer Science/Information Technology, or in a related technical field or equivalent technology experience.
· 10+ years’ experience in software development
· 8+ years of experience in DevOps
· Mandatory Skills: Either Splunk/Datadog,Gitalb,EKS,Retail domain experience
· Experience with the following Cloud Native tools: Git, Jenkins, Grafana, Prometheus, Ansible, Artifactory, Vault, Splunk, Consul, Terraform, Kubernetes
· Working knowledge of Containers, i.e., Docker Kubernetes, ideally with experience transitioning an organization through its adoption
· Demonstrable experience with configuration, orchestration, and automation tools such as Jenkins, Puppet, Ansible, Maven, and Ant to provide full stack integration
· Strong working knowledge of enterprise platforms, tools and principles including Web Services, Load Balancers, Shell Scripting, Authentication, IT Security, and Performance Tuning
· Demonstrated understanding of system resiliency, redundancy, failovers, and disaster recovery
· Experience working with a variety of vendor APIs including cloud, physical and logical infrastructure devices
· Strong working knowledge of Cloud offerings & Cloud DevOps Services (EC2, ECS, IAM, Lambda, Cloud services, AWS CodeBuild, CodeDeploy, Code Pipeline etc or Azure DevOps, API management, PaaS)
· Experience managing and deploying Infrastructure as Code, using tools like Terraform Helm charts etc.
· Manage and maintain standards for Devops tools used by the team
This role is for Work from the office.
Job Description
Roles & Responsibilities
- Work across the entire landscape that spans network, compute, storage, databases, applications, and business domain
- Use the Big Data and AI-driven features of vuSmartMaps to provide solutions that will enable customers to improve the end-user experience for their applications
- Create detailed designs, solutions and validate with internal engineering and customer teams, and establish a good network of relationships with customers and experts
- Understand the application architecture and transaction-level workflow to identify touchpoints and metrics to be monitored and analyzed
- Analytics and analysis of data and provide insights and recommendations
- Constantly stay ahead in communicating with customers. Manage planning and execution of platform implementation at customer sites.
- Work with the product team in developing new features, identifying solution gaps, etc.
- Interest and aptitude in learning new technologies - Big Data, no SQL databases, Elastic Search, Mongo DB, DevOps.
Skills & Experience
- At least 2+ years of experience in IT Infrastructure Management
- Experience in working with large-scale IT infra, including applications, databases, and networks.
- Experience in working with monitoring tools, automation tools
- Hands-on experience in Linux and scripting.
- Knowledge/Experience in the following technologies will be an added plus: ElasticSearch, Kafka, Docker Containers, MongoDB, Big Data, SQL databases, ELK stack, REST APIs, web services, and JMX.


- Professional experience in enterprise java software development using Spring MVC framework , RESTful APIs and SOA
- Experience working in Cloud(AWS)
- Outstanding problem solving skills
- API Development experience
- Exposure to monitoring tools such as ELK, Splunk
- Experience with Selenium for UI automated tests written in Cucumber or Scala
- Able to handle day-to-day challenges and owning the resolution of issues as they arise.