4+ Splunk Jobs in Pune | Splunk Job openings in Pune

Role Overview: We are seeking a highly experienced and technically proficient Lead Performance & Reliability Engineer to join our dynamic team. The ideal candidate will possess a deep understanding of performance testing methodologies across mobile and web platforms, with hands-on expertise in industry-leading tools. You will be instrumental in ensuring the scalability, stability, and responsiveness of our critical systems, from initial design to production monitoring. A strong background in site reliability engineering principles, coupled with a proactive approach to identifying and resolving performance bottlenecks, is essential.

Key Responsibilities:

• Performance Strategy & Execution:
• Lead the design, development, and execution of comprehensive performance testing strategies for complex mobile (iOS/Android) and web applications.
• Define performance SLAs, identify key performance indicators (KPIs), and establish performance baselines.
• Conduct various types of performance tests including load, stress, scalability, endurance, and failover testing.
• Tooling & Automation Expertise:
• Utilize and optimize leading performance testing tools such as LoadRunner and JMeter to simulate realistic user loads and analyze system behavior.
• Develop robust, scalable, and maintainable performance test scripts across diverse protocols.
• Implement and integrate performance testing into CI/CD pipelines for continuous performance validation.
• Monitoring & Observability:
• Leverage monitoring and observability platforms like Datadog, Splunk, and Kibana for real-time performance monitoring, root cause analysis, and proactive issue detection in production environments.
• Configure dashboards, alerts, and reports to provide actionable insights into system health and performance trends.
• System Analysis & Optimization:
• Perform in-depth analysis of performance test results and production metrics to identify bottlenecks in application, database, and infrastructure layers.
• Collaborate closely with development, architecture, and operations teams to recommend and implement performance improvements.
• Deep dive into SQL Queries and MongoDB performance, optimizing database schemas, queries, and indexing for optimal throughput.
• Chaos Engineering & Resiliency:
• Familiarity with Gremlin or similar chaos engineering platforms to proactively identify and address system weaknesses under adverse conditions.
• Contribute to building resilient and fault-tolerant systems.
• Architectural & Methodological Leadership:
• Apply principles of SAFe (Scaled Agile Framework) or similar agile methodologies to integrate performance engineering practices seamlessly into the software development lifecycle.
• Work closely with architects and developers to ensure performance considerations are embedded from the design phase.
• Data Management & Scripting:
• Proficiency in writing and optimizing complex SQL Queries for performance analysis and data manipulation.
• Strong Scripting skills (e.g., Python, Java, JavaScript, Shell Scripting) for test automation, data generation, and custom tool development.
• Experience with MongoDB for NoSQL database performance analysis and optimization.
• Emerging Technologies & AI:
• Exposure to or keen interest in utilizing AI/ML-driven tools for performance analysis and optimization, including understanding the capabilities of Azure Copilot or similar AI assistants in a development context.
• Mentorship & Collaboration:
• Mentor junior engineers and share best practices in performance engineering.
• Foster a culture of performance awareness and reliability across engineering teams.

Required Skills & Experience:

• 9-12 years of progressive experience in Performance Testing, Performance Engineering, or Site Reliability Engineering.
• Demonstrable expertise in Mobile Performance Testing for both iOS and Android platforms.
• Hands-on mastery of LoadRunner and JMeter for performance test script development and execution.
• Extensive experience with performance monitoring tools such as Datadog, Splunk, and Kibana.
• Solid understanding of database performance concepts and hands-on experience with SQL Queries and MongoDB.
• Proven ability in at least one major scripting language (e.g., Python, JavaScript, Java, Shell).
• Experience with or strong understanding of Agile methodologies, preferably SAFe.
• Familiarity with Chaos Engineering principles and tools (e.g., Gremlin).
• Understanding of cloud platforms (Azure preferred) and exposure to AI-assisted development tools like Azure Copilot is a plus.
• Strong analytical, problem-solving, and debugging skills.
• Excellent communication and collaboration abilities.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

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