Observability Engineer

Observability Engineer (AppDynamics)

Hyderabad

Exp: 8+years of exp

Mandate Skills: AppDynamics, Splunk, Python (Scripting knowledge)

Primary Skill Set:

• AppDynamics administration
• SPLOC administration
• Enterprise monitoring and observability
• Application performance monitoring
• Alerting and event management
• Monitoring strategy and design
• Platform configuration and governance
• Python scripting
• Monitoring automation

Secondary Skills:

• Glassbox monitoring
• Customer journey observability
• GenAI concepts for operations       
• Log, metric, and trace telemetry
• Dashboarding and visualization

Job Description

We are looking for an Azure Cloud & Observability Engineer with strong experience in Azure infrastructure and enterprise monitoring tools such as Splunk, Grafana, and AppDynamics.

Responsibilities

• Design, deploy, and manage Azure cloud infrastructure and services.
• Monitor application and infrastructure performance using Splunk, Grafana, and AppDynamics.
• Configure dashboards, alerts, health rules, and monitoring metrics.
• Perform log analysis, troubleshooting, and root-cause analysis for production issues.
• Implement observability solutions for applications, cloud infrastructure, and services.
• Automate monitoring and operational activities using scripting.
• Support incident, problem, and change management processes.
• Collaborate with development, DevOps, and SRE teams to improve system reliability.
• Maintain monitoring standards, documentation, and operational procedures.

Primary Skills

• Microsoft Azure
• Splunk
• Grafana
• AppDynamics
• Cloud Monitoring & Observability
• Application Performance Monitoring (APM)
• Log Analysis & Troubleshooting

Secondary Skills

• Azure Monitor / Log Analytics
• Azure VMs, Storage, Networking
• Linux
• Python / PowerShell / Shell Scripting
• CI/CD
• Git
• ITIL / ServiceNow

Job Description

We are looking for an Azure Cloud & Observability Engineer with strong experience in Azure infrastructure and enterprise monitoring tools such as Splunk, Grafana, and AppDynamics.

Responsibilities

• Design, deploy, and manage Azure cloud infrastructure and services.
• Monitor application and infrastructure performance using Splunk, Grafana, and AppDynamics.
• Configure dashboards, alerts, health rules, and monitoring metrics.
• Perform log analysis, troubleshooting, and root-cause analysis for production issues.
• Implement observability solutions for applications, cloud infrastructure, and services.
• Automate monitoring and operational activities using scripting.
• Support incident, problem, and change management processes.
• Collaborate with development, DevOps, and SRE teams to improve system reliability.
• Maintain monitoring standards, documentation, and operational procedures.

Primary Skills

• Microsoft Azure
• Splunk
• Grafana
• AppDynamics
• Cloud Monitoring & Observability
• Application Performance Monitoring (APM)
• Log Analysis & Troubleshooting

Secondary Skills

• Azure Monitor / Log Analytics
• Azure VMs, Storage, Networking
• Linux
• Python / PowerShell / Shell Scripting
• CI/CD
• Git
• ITIL / ServiceNow

Key Responsibilities

• Design, deploy, configure, upgrade, and administer enterprise-scale Dynatrace environments.
• Deploy and manage OneAgent, ActiveGate, extensions, and monitoring configurations across application and infrastructure environments.
• Implement observability for applications, APIs, microservices, databases, containers, Kubernetes, cloud platforms, and traditional infrastructure.
• Configure service detection, process groups, management zones, tags, naming rules, metrics, logs, traces, and topology.
• Develop operational and executive dashboards, notebooks, reports, SLOs, and alerting strategies.
• Configure and optimize Davis AI problem detection, anomaly detection, baselines, and root-cause analysis.
• Implement Real User Monitoring (RUM), Synthetic Monitoring, Session Replay, distributed tracing, and log monitoring as required.
• Analyze application performance issues, service dependencies, transaction traces, response times, resource utilization, and infrastructure bottlenecks.
• Lead troubleshooting of complex production performance and availability incidents using Dynatrace telemetry.
• Reduce alert noise through effective event correlation, thresholds, anomaly-detection configuration, and monitoring standards.
• Integrate Dynatrace with enterprise platforms such as ServiceNow, Jira, PagerDuty, Splunk, CI/CD pipelines, and collaboration/notification tools.
• Automate Dynatrace configuration and deployment using APIs, configuration-as-code, scripting, and DevOps tooling.
• Work closely with application, infrastructure, cloud, SRE, DevOps, production support, and operations teams to define observability requirements.
• Establish Dynatrace monitoring standards, reusable configurations, governance, and best practices.
• Perform platform health checks, capacity assessments, license/usage optimization, and monitoring coverage reviews.
• Create technical documentation, runbooks, architecture diagrams, troubleshooting guides, and operational procedures.
• Mentor junior engineers and provide technical leadership for observability initiatives.

Required Technical Skills

• 5–8+ years of overall IT experience with significant experience in application/infrastructure monitoring or observability.
• 3–5+ years of hands-on Dynatrace experience in enterprise environments.
• Strong knowledge of:
• Dynatrace OneAgent and ActiveGate
• Application Performance Monitoring (APM)
• Infrastructure Monitoring
• Distributed Tracing
• Real User Monitoring (RUM)
• Synthetic Monitoring
• Log Monitoring and Analytics
• Metrics, traces, logs, and events
• Davis AI and automated root-cause analysis
• Dashboards, SLOs, alerting, and anomaly detection
• Dynatrace APIs and automation
• Experience monitoring Java/JVM, .NET, web applications, APIs, microservices, and databases.
• Experience with Kubernetes, Docker, OpenShift, or other container platforms.
• Working knowledge of at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform.
• Strong understanding of application architecture, HTTP/HTTPS, REST APIs, networking, operating systems, and middleware.
• Experience with Linux and Windows environments.
• Scripting/automation experience using Python, PowerShell, Bash, Ansible, Terraform, or similar technologies.
• Experience integrating monitoring platforms with ITSM, incident management, and DevOps tools.
• Strong analytical and production troubleshooting skills.

Preferred Skills

• Experience with Dynatrace Grail, DQL (Dynatrace Query Language), OpenPipeline, and the latest Dynatrace platform capabilities.
• Knowledge of OpenTelemetry (OTel) and modern telemetry standards.
• Experience implementing observability for large-scale Kubernetes and cloud-native environments.
• Familiarity with SRE practices, including SLIs, SLOs, error budgets, and observability-driven incident management.
• Knowledge of additional monitoring platforms such as Splunk, AppDynamics, Datadog, New Relic, Grafana, Prometheus, or ELK.
• Experience with infrastructure-as-code and configuration-as-code approaches.
• Dynatrace certifications are preferred.

Professional Skills

• Strong problem-solving and root-cause analysis capabilities.
• Ability to troubleshoot complex application and infrastructure performance issues independently.
• Strong written and verbal communication skills.
• Ability to work effectively with application owners, developers, SREs, infrastructure teams, and senior stakeholders.
• Ability to translate business and operational requirements into observability solutions.
• Experience working in enterprise production environments with incident, problem, and change-management processes.
• Ability to mentor engineers and drive technical standards across teams.

Education & Certification

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline, or equivalent professional experience.
• Dynatrace Associate/Professional-level certification is desirable.
• Cloud, Kubernetes, ITIL, SRE, or DevOps certifications are advantageous.

Experience Level

Senior Engineer

• Overall Experience: 5–8+ years
• Dynatrace/Observability Experience: 3–5+ years
• Expected proficiency: Advanced hands-on implementation, administration, troubleshooting, automation, and solution design

About the Role

We are looking for a proactive and detail-oriented Senior Site Reliability Engineer (SRE) to ensure the reliability, performance, and availability of our applications. The role involves monitoring production systems, troubleshooting issues, and collaborating with cross-functional teams to drive faster resolution and continuous improvement. You will play a key role in maintaining system stability and enhancing observability across our microservices-based platform.

Key Responsibilities

• Handle MFS application issues by investigating, troubleshooting, and escalating to engineering teams when needed
• Perform initial root cause analysis (RCA) and support resolution of recurring or moderately complex issues
• Ensure timely incident resolution in line with SLAs, including proper documentation of fixes and workarounds
• Identify and analyze system bottlenecks, and assist in deploying fixes via change management processes
• Collaborate with cross-functional teams (Development, SRE/DevOps, QA, Business) to resolve incidents and improve systems
• Use observability tools (Grafana, Loki, ELK) to monitor system health, availability, performance, and resiliency
• Participate in incident/severity calls, ensuring clear communication and coordination
• Develop and maintain knowledge bases, SOPs, and runbooks for standardized operations and troubleshooting

Required Skills & Experience

• Strong understanding of Linux/Unix systems for application support
• Hands-on experience troubleshooting applications in staging and production environments
• Ability to monitor system performance and identify root causes using logs and metrics
• Experience working with Kubernetes and microservices-based architectures
• Proficiency in observability and monitoring tools such as Grafana, Loki, and ELK (Elasticsearch, Logstash, Kibana)
• Familiarity with CI/CD practices and tools (e.g., Jenkins, GitOps)
• Experience in API testing and validation using tools like Postman and Swagger/OpenAPI
• Hands-on experience with PostgreSQL and MongoDB for troubleshooting and ad-hoc reporting
• Experience with ticketing and documentation tools such as Jira and Confluence
• Minimum 4+ years of experience in application support or reliability engineering

Education & Certifications

• Bachelor's degree in Computer Science, Information Technology, or a related field
• Relevant certifications (Cloud, Kubernetes, Microservices) are a plus

Work Schedule

• Willingness to work in a 24x7 environment, including weekends and on-call rotations

Hiring: DevOps Lead

📍 Kochi / Trivandrum / Remote

💼 Full-time

🕐 General Shift | Australian Overlap

We are looking for an experienced DevOps Lead to join our team.

🔹 Key Responsibilities

Implement and continually improve the observability platform using Datadog, particularly from a user experience perspective.

Work across engineering squads as a virtual team member, supporting their DevOps, infrastructure, and observability requirements.

Configure and manage Datadog RUM, Session Replay, Distributed Tracing, and APM.

Support campaign readiness activities, including load and performance testing.

Participate in gamedays and incident response activities for production systems.

Liaise closely with the managed infrastructure provider on infrastructure requirements and activities.

🔹 Essential Skills & Requirements

✅ 7+ years of relevant DevOps / Cloud / Observability experience

✅ Strong hands-on experience with Datadog

✅ Strong experience with RUM, Session Replay, Distributed Tracing, and APM

✅ Solid experience with AWS

✅ Strong Infrastructure-as-Code experience using CloudFormation and AWS CDK

✅ Good working knowledge of GitHub Actions and AWS CodePipeline

✅ Real incident response experience on high-traffic systems

✅ Experience with Load & Performance Testing

✅ Strong problem-solving and communication skills

✅ Ability to work closely with infrastructure partners and internal platform teams

🔹 Skills - Good to Have

⭐ Experience with high-traffic platforms

⭐ Experience with campaign readiness and gamedays

⭐ Infrastructure partner management

⭐ Advanced AWS observability

⭐ Performance engineering

📌 Experience: 7+ Years

📌 Work Location: Kochi / Trivandrum / Remote

📌 Shift: General Shift with Australian Overlap

📌 Remote: Mandatory 1 week at office

📩 Interested candidates can share their resume

Position Overview 

The AI Observability Engineer will be instrumental in implementation of scalable, cloud-native solutions to meet the growing needs of our Data & Development team. The successful candidate will demonstrate the ability to abstract complexity and create reusable, scalable patterns that accelerate development. The AI Observability Engineer will build and maintain a robust framework to ensure the reliability and maintainability of DPR Construction's complex AI systems. 

Responsibilities 

• Standardize observability practices across AI/ML and other development teams including logging, metrics, tracing, and model performance monitoring, ingesting data from multiple platforms 
• Lead hands-on implementation of automation-first DevOps and MLOps practices, enabling infrastructure-as-code and consistent, repeatable environment provisioning 
• Design and manage intelligent DataOps pipelines with automated data quality monitoring and anomaly detection 
• Deploy, maintain and monitor containerized ML workloads 
• Extend existing CI/CD pipelines to support automated infrastructure changes and ML workflows 
• Implement AI-driven data validation, schema and concept drift detection and metadata management. 
• Establish governance frameworks for AI systems, including bias detection, explainability, and auditability 
• Extend existing Azure RBAC strategy by automating role and permission management to reduce manual intervention 
• Develop automated test suites for model performance, regression, edge cases and bias validation 
• Monitor model KPIs (accuracy, precision, recall, latency, calibration) 
• Ensure reproducability of experiments and production models 
• Act as a technical point of contact for DevOps and MLOps practices, developing reusable patterns, documentation, and proof-of-concepts to drive adoption 

Qualifications 

• Bachelor’s degree in computer science, Data Science, Information Systems, or a related field 
• 5+ years of experience in DevOps, MLOps, Data Engineering, Software Engineering or Site Reliability Engineering 
• Strong understanding of cloud infrastructure and experience working with at least one major cloud provider, preferably Azure 
• Proficiency in at least one objected-oriented programming language, preferably python with hands-on experience in ml frameworks like TensorFlow, PyTorch or Scikit-learn 

Application Production Support with SRE, Linux/Unix, Splunk/AppD/Grafana, Troubleshooting

WFO-Immediate

8 to 12 Yrs

Bangalore/Hyderabad

Site Reliability Engineer (SRE) / DevOps Engineer (Walk-In Drive)

Location: Gurgaon Experience: 3–6 Years

About the Role

We are looking for a hands-on Site Reliability Engineer (SRE) / DevOps Engineer with strong programming and automation skills.

The role will initially involve development and automation work, helping the engineer build a strong understanding of the applications and platform. Over time, the role will expand into broader DevOps and SRE responsibilities, including CI/CD, cloud infrastructure, observability, production reliability, incident management, and operational automation.

The ideal candidate should be comfortable working with both application code and production systems and should use engineering and automation to improve reliability and reduce manual effort.

Key Responsibilities

· Develop and enhance internal applications, automation tools, APIs, utilities, and platform capabilities using Python.

· Write clean, maintainable, testable, and production-ready code.

· Participate in code reviews, debugging, testing, and technical discussions.

· Build, maintain, and improve CI/CD pipelines and automated deployment processes.

· Work with Docker and Kubernetes for application deployment and operations.

· Support on prem and cloud-based application and infrastructure deployments.

· Maintain reliable, scalable, secure, and highly available production environments.

· Implement and manage monitoring, logging, alerting, and observability solutions.

· Contribute to defining and tracking SLIs, SLOs, and error budgets.

· Troubleshoot application and production issues and perform Root Cause Analysis (RCA).

· Identify recurring operational problems and address them through automation and engineering improvements.

· Support incident response, change management, deployment governance, and disaster recovery practices.

· Maintain runbooks, SOPs, incident documentation, and technical documentation.

· Collaborate with Engineering, Product, Platform, Security, Operations, and external teams.

Technical Skills

· Strong hands-on experience with Python for development and automation.

· Experience developing scripts, APIs, integrations, utilities, or backend services.

· Good understanding of software engineering principles, debugging, logging, testing, and exception handling.

· Experience with REST APIs, JSON, Git, pull requests, and code reviews.

· Strong knowledge of Linux/Unix environments and basic Windows administration.

· Good understanding of networking concepts including DNS, TCP/IP, HTTP/HTTPS, load balancing, and firewalls.

· Experience with at least one cloud platform: AWS, Azure, or GCP.

· Hands-on experience with Docker and Kubernetes.

· Experience with CI/CD tools such as GitHub Actions, GitLab CI, Jenkins, Azure DevOps, or equivalent.

· Familiarity with Infrastructure-as-Code tools such as Terraform is preferred.

· Experience with monitoring and observability tools such as Grafana, Prometheus, Power BI, or equivalent.

· Ability to analyze logs, metrics, alerts, and traces for troubleshooting.

· Understanding of SRE concepts including SLIs, SLOs, availability, reliability, error budgets, and RCA.

· Experience with JIRA, ServiceNow, and Confluence is desirable.

Preferred Experience

· 3–6 years of experience in SRE, DevOps, Platform Engineering, Cloud Engineering, or related roles.

· Strong Python development or automation experience.

· Experience supporting applications across development, deployment, and production environments.

· Exposure to cloud-native, distributed, or production-grade systems.

· Understanding of security and compliance best practices.

· Familiarity with AI-assisted engineering tools such as GitHub Copilot, Claude Code, or similar tools.

Soft Skills

· Strong analytical and troubleshooting skills.

· Engineering and automation mindset.

· Good written and verbal communication skills.

· Effective cross-functional collaboration.

· Ownership-driven approach to problem solving.

· Ability to remain structured during production incidents.

We are looking for an experienced Application Support Engineer with strong expertise in Linux/Unix, Networking, Routing, Load Balancing, and Production Support. The ideal candidate should have hands-on experience troubleshooting application and infrastructure issues using enterprise monitoring and observability tools such as Splunk, Grafana, and AppDynamics.

Key Responsibilities

• Provide L2/L3 production support for enterprise applications and infrastructure.
• Troubleshoot application, Linux/Unix, network, routing, and connectivity-related issues.
• Monitor application and infrastructure health using Splunk, Grafana, and AppDynamics.
• Analyze alerts, logs, performance metrics, and system behavior to identify issues.
• Troubleshoot routing, load balancing, connectivity, and network-related problems.
• Perform incident investigation, troubleshooting, and root cause analysis.
• Coordinate with Network, Infrastructure, Application, and other technical teams for issue resolution.
• Handle production incidents and ensure timely resolution within defined SLAs.
• Participate in problem management and identify recurring issues.
• Perform application health checks and proactively identify potential failures.
• Maintain troubleshooting guides, runbooks, and operational documentation.
• Support planned changes, deployments, and maintenance activities.

Must-Have Skills

Application Support

Linux / Unix

Networking

Routing

Load Balancing

Splunk

Grafana

AppDynamics

Production Support

Incident Management

Troubleshooting

Required Skills & Tools

• 4–6 years of experience in Application / Production Support.
• Strong hands-on experience with Linux/Unix administration and troubleshooting.
• Good understanding of TCP/IP, networking, routing, and connectivity concepts.
• Practical experience troubleshooting load balancing issues.
• Hands-on experience with monitoring and observability tools such as Splunk, Grafana, or AppDynamics.
• Strong log analysis and troubleshooting skills.
• Experience handling production incidents and working within SLA-driven environments.
• Strong communication and coordination skills.

Preferred Experience

• Exposure to ITIL processes including Incident, Problem, and Change Management.
• Experience with scripting/automation using Shell or Python.
• Exposure to cloud environments is an added advantage.
• Experience supporting enterprise-scale applications and infrastructure.

Key Competencies

• Strong analytical and troubleshooting skills.
• Ability to work under pressure during critical production incidents.
• Strong ownership and accountability.
• Excellent communication and stakeholder management.
• Ability to work collaboratively with global technical teams.

Qualifications

Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related discipline.