Application Platform Engineer

Role Overview

We are looking for an experienced Application Support Engineer with strong expertise in production support, Linux/Unix troubleshooting, Oracle database support, and monitoring tools. The candidate should have experience managing critical production environments, resolving technical issues, and maintaining application stability and availability.

Key Responsibilities

• Provide end-to-end production support for business-critical applications.
• Troubleshoot application, server, and database-related issues in Linux/Unix environments.
• Perform Oracle SQL queries, database troubleshooting, and performance analysis.
• Manage incidents, service requests, and change management processes.
• Conduct RCA for recurring and critical production issues.
• Monitor application health and performance using Splunk, Grafana, and AppDynamics.
• Support applications hosted on cloud and container platforms such as OCP, AWS, Azure, and GCP.
• Collaborate with infrastructure, database, and development teams for issue resolution.
• Maintain operational documentation and ensure adherence to SLA commitments.

Technical Skills

• Application Production Support
• Linux / Unix Administration and Troubleshooting
• Oracle SQL / Database Support
• Incident, Problem & Change Management
• Root Cause Analysis (RCA)
• Splunk / Grafana / AppDynamics
• Cloud Platforms – OCP, AWS, Azure, GCP

Mandatory Skills: L2 Production Support, Event Management / Mission Control, Incident Management, Linux, Linux, observability, and batch monitoring

Primary Skills:

• L2 Production Support, Event Management / Mission Control, ServiceNow, Production Monitoring, Splunk / AppDynamics / ThousandEyes

Role Summary

We are seeking a proactive and technically skilled Python Application Support Engineer to join our Technical Operations team. This role is crucial for ensuring the stability and reliability of our mission-critical, Python-based applications. You will be responsible for timely incident resolution, deep-dive troubleshooting, implementing permanent fixes, and driving operational efficiency through automation.

🔑 Key Responsibilities

Technical Troubleshooting & Incident Management

• Incident Resolution: Serve as the primary point of contact for complex Level 2 and Level 3 production incidents, diagnosing root causes and resolving issues across our Python application stack.
• Deep-Dive Analysis: Utilize log analysis tools (e.g., Splunk, ELK Stack) and monitoring platforms (e.g., Prometheus, Grafana) to quickly identify and address anomalies in application behavior.
• Code Debugging: Analyze, debug, and fix application issues directly within the Python codebase, including Flask/Django services, worker queues, and custom scripts.
• Database Health: Troubleshoot performance issues and conduct basic SQL/NoSQL query tuning and health checks (e.g., for PostgreSQL, MongoDB, or Redis).

Operational Excellence & Automation

• Monitoring & Alerting: Continuously refine and optimize application monitoring, alerting, and logging configurations to improve mean time to detect (MTTD) and mean time to resolve (MTTR).
• Python Automation: Develop, maintain, and enhance automated scripts (primarily in Python) to streamline routine operational tasks, reporting, health checks, and system recovery processes.
• Documentation: Create and maintain comprehensive documentation, runbooks, and knowledge base articles for application support procedures and recurring issues.

Collaboration & Prevention

• Cross-Functional Fixes: Collaborate closely with the Development and DevOps teams to provide clear technical feedback on recurring issues and implement permanent, scalable solutions.
• Proactive Maintenance: Identify potential system bottlenecks, performance degradation points, and areas prone to failure, recommending and implementing preventative measures.

⚙️ Required Qualifications

• Experience: 3 to 5 years of professional experience in Application Support, Production Support, Site Reliability Engineering (SRE), or a similar technical role.
• Python Expertise (Mandatory): Strong hands-on experience with Python scripting and programming, including the ability to read, debug, and modify application code.
• Operating Systems: Proficient working knowledge of Linux/Unix environments and shell scripting.
• Databases: Solid experience with relational (e.g., PostgreSQL, MySQL) and/or NoSQL (e.g., MongoDB, Redis) databases, focusing on query analysis and performance.
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We are looking for an Application Support Engineer with experience in Linux/Unix, Windows administration, application monitoring, and production support. The candidate should be skilled in incident management, troubleshooting, and monitoring tools such as Splunk, Grafana, and AppDynamics.

Responsibilities

• Provide application and production support, ensuring system availability and stability.
• Troubleshoot application, server, and infrastructure issues across Linux/Unix and Windows environments.
• Monitor application performance using Splunk, Grafana, and AppDynamics.
• Manage incidents, service requests, and changes through ServiceNow.
• Perform root cause analysis and coordinate with relevant teams to resolve issues.
• Ensure SLA compliance and minimize service disruptions.

Required Skills

• Application Support / Production Support
• Linux/Unix and Windows
• Monitoring tools: Splunk, Grafana, AppDynamics
• ITSM tool: ServiceNow
• Incident, problem, and change management
• Strong troubleshooting and communication skills

Primary Skills: Linux Administration, Production Support

Secondary Skills: Oracle SQL, Splunk, Grafana, AppDynamics, Cloud (OCP/AWS/Azure/GCP), Incident Management, AI/Automation.

ob Summary

We are looking for a skilled Application Production Support Engineer to support business-critical applications, manage production incidents, and ensure the availability, stability, and performance of applications. The ideal candidate will have experience in production support, event management, incident management, and monitoring tools such as ServiceNow, Splunk, AppDynamics, and ThousandEyes.

The role requires strong troubleshooting and analytical skills, effective communication, and the ability to work in a fast-paced production environment while meeting defined Service Level Agreements (SLAs).

Key Responsibilities

• Provide /L2/L3 application production support, as applicable, to ensure high availability and reliability of business applications.
• Monitor application health, availability, performance, and infrastructure events using Splunk, AppDynamics, and ThousandEyes.
• Perform event monitoring, event correlation, alert analysis, and prioritization to identify potential production issues.
• Manage incidents, service requests, problems, and change requests through ServiceNow.
• Investigate production incidents, perform initial troubleshooting, analyze logs, and identify the root cause of application failures.
• Coordinate with application development, infrastructure, database, network, and other support teams to resolve incidents within agreed SLAs.
• Perform impact assessment, incident escalation, and stakeholder communication during major incidents.
• Analyze application logs, dashboards, alerts, and performance metrics to identify trends and recurring issues.
• Participate in major incident management, problem management, and root-cause analysis (RCA).
• Support application deployments, production releases, scheduled maintenance, and post-deployment validation.
• Maintain incident records, troubleshooting steps, knowledge articles, operational procedures, and support documentation.
• Identify opportunities to reduce recurring incidents through proactive monitoring, automation, and continuous improvement.
• Participate in shift handovers and provide clear updates on ongoing incidents and operational risks.

Required Skills and Qualifications

• Hands-on experience in Application Production Support or IT Operations.
• Good understanding of incident management, event management, problem management, and change management processes.
• Experience working with ServiceNow for incident logging, tracking, prioritization, escalation, and resolution.
• Working knowledge of Splunk for log analysis, searching, troubleshooting, and monitoring.
• Experience with AppDynamics for application performance monitoring, transaction analysis, and identifying performance bottlenecks.
• Familiarity with ThousandEyes for network and application delivery visibility, connectivity monitoring, and performance troubleshooting.
• Strong analytical, troubleshooting, and problem-solving skills.
• Understanding of SLAs, KPIs, incident priorities, escalation matrices, and operational procedures.
• Excellent communication and stakeholder management skills.
• Ability to work independently and collaborate with cross-functional teams.

Preferred Qualifications

• ITIL Foundation certification or knowledge of ITIL practices.
• Experience supporting enterprise applications in a 24/7 production environment.
• Knowledge of Linux/Unix commands, SQL queries, application logs, and basic networking concepts.
• Familiarity with dashboards, alert tuning, event correlation, and monitoring automation.
• Experience participating in major incident bridges and preparing RCA reports.

Experience: 8+ Years

Location: Hyderabad / Bangalore

Mandatory Skills: Production Support, SRE, Linux/Unix, AI/ML Infrastructure Knowledge

Job Description:

• Provide production support for mission-critical applications, including incident management, troubleshooting, RCA, deployments, monitoring, and service restoration.
• Implement SRE practices to improve system reliability, availability, and performance.
• Support AI/ML platforms and GPU infrastructure; knowledge of GenAI and AI/ML workloads is preferred.
• Automate repetitive support activities using Python and Shell scripting.
• Monitor systems using tools such as Splunk and AppDynamics.
• Identify performance bottlenecks and drive continuous improvement.
• Collaborate with infrastructure, application, and business teams to resolve production issues.

Required Skills:

• 8+ years of experience in Production Support and SRE.
• Strong Linux/Unix administration and troubleshooting skills.
• Experience with incident management, RCA, monitoring, and automation.
• Knowledge of AI/ML platforms, GPU infrastructure, and GenAI concepts.
• Python/Shell scripting knowledge.
• Exposure to Hadoop, Spark, or Elasticsearch is an advantage.
• Willingness to work in 24x7 shifts.
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Job Summary:

We are seeking a dedicated and skilled Technical Support Engineer with a strong background in Application Production Support. The ideal candidate will be responsible for ensuring the stability, reliability, and performance of our applications in a production environment. You will work closely with cross-functional teams to troubleshoot issues, implement solutions, and enhance the overall user experience.

Responsibilities:

• Provide expert technical support for application-related issues, ensuring timely resolution and minimal disruption to services.
• Monitor application performance and conduct regular health checks to identify potential issues before they impact users.
• Collaborate with development teams to understand application architecture and assist in troubleshooting complex problems.
• Document and maintain knowledge base articles for common issues and solutions to improve team efficiency.
• Participate in on-call rotations to provide after-hours support as needed.
• Implement and maintain monitoring tools to proactively identify and resolve application issues.
• Assist in the deployment of application updates and patches, ensuring minimal downtime.
• Work with stakeholders to gather requirements and provide feedback on application performance and user experience.
• Conduct root cause analysis for recurring issues and recommend preventive measures.
• Stay updated with industry trends and best practices in application support and management.

Mandatory Skills:

• Strong knowledge and experience in Application Production Support.
• Proficiency in troubleshooting and resolving application issues in a production environment.
• Familiarity with monitoring tools and techniques for application performance management.
• Experience with incident management processes and tools.
• Excellent problem-solving skills and the ability to work under pressure.
• Strong communication skills, both verbal and written, to effectively interact with technical and non-technical stakeholders.

Preferred Skills:

• Experience with cloud-based applications and services.
• Knowledge of scripting languages (e.g., Python, Bash) for automation tasks.
• Familiarity with database management and SQL.
• Understanding of ITIL processes and best practices.
• Experience with Agile methodologies and working in a DevOps environment.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Relevant certifications in application support or IT service management are a plus.
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Job Summary:

We are looking for an experienced L2 Production Support Engineer with hands-on experience in production monitoring, event management, incident management, troubleshooting, and root cause analysis (RCA). The candidate should have experience working with enterprise monitoring tools and ITSM platforms to ensure application stability and smooth production operations.

Mandatory Skills:

• L2 Production Support
• Event Management / Mission Control
• Incident Management
• Linux / Unix
• Observability and Production Monitoring
• Batch Monitoring

Primary Skills:

• ServiceNow
• Splunk / AppDynamics / ThousandEyes
• Event Monitoring and Incident Handling
• Production Troubleshooting

Secondary Skills:

• Batch Monitoring and Scheduling
• Windows Server Troubleshooting
• Root Cause Analysis (RCA)
• Cross-team Coordination

Key Responsibilities:

• Monitor production environments and identify alerts, events, and potential issues.
• Handle L2 production incidents and perform initial troubleshooting.
• Manage incidents and service requests using ServiceNow or similar ITSM tools.
• Analyze application and system logs using monitoring tools such as Splunk, AppDynamics, or ThousandEyes.
• Perform root cause analysis and coordinate with relevant teams to resolve recurring issues.
• Monitor batch jobs and schedules, ensuring timely execution.
• Troubleshoot Linux/Unix and Windows Server-related issues.
• Ensure adherence to SLAs and follow established incident management processes.

Production Support SRE Engineer with AI/ML

Hybrid (3 days from Office)

Years of exp: 8+ yrs

Mandate skills: Production Support, Site Reliability Engineering (SRE), hands on AI Infra setup and maintenance exposure with both OnPrem (GPU) and Cloud.

Job Details:

Primary: Production Support Engineering, Site Reliability Engineering (SRE), GCP, AI/ML Platform

Secondary skills: Python, Linux/Unix, GPU Infrastructure, GenAI Support, Splunk, AppDynamics, Hadoop/Spark, Automation Engineering

Responsibilities:

• Responsible for support functions and driving the execution of multiple Application/Platform support services including incident triage, root cause analysis, change evaluation-execution-validation,

deployment management, BCP and risk & vulnerability management, patching, monitoring.

• Provides on-call production support of Mission Critical applications and resolve issues within RTO.
• Leverage diagnostic tools to maintain, troubleshoot and restore service or data to systems  
• Bring in engineering, operational management in various domains like AI & Cloud                                                          
• Leverage AI-enabled applications, tools, Large Language Models (LLMs), Generative AI, Agentic AI frameworks, and Retrieval-Augmented Generation (RAG) architectures
• Champion continuous improvement to drive stability and operational excellence
• Work with SRE mindset. Building Automated solutions for daily redundant production support activities.
• Ability to understand and escalate issues efficiently and appropriately. Identify system bottlenecks and opportunities for process improvements
• Communicate, co-ordinate and collaborate with multiple support teams and stakeholders