Senior Dynatrace Engineer at MNC Client · Remote only · 5 - 9 years · Remote only · Posted 10 Sep 2026
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
Shubham Vishwakarma
Full Stack Developer - Averlon
Similar jobs (10)
PythonObservability 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
grafanaJob 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
grafanaJob 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
MongoDBJob Summary
We are looking for an experienced Observability Engineer with strong expertise in ThousandEyes, Splunk, database technologies, and Python automation. The candidate will be responsible for monitoring application, network, and infrastructure performance, identifying issues, and developing automation solutions to improve system visibility, reliability, and operational efficiency.
Required Skills
- Observability
- ThousandEyes / Cisco ThousandEyes
- Splunk
- OracleDB
- MongoDB
- SQL
- Python Automation
Roles & Responsibilities
- Implement and support observability and monitoring solutions across applications, networks, and infrastructure.
- Work with ThousandEyes for network and digital experience monitoring.
- Configure and maintain monitoring dashboards, alerts, and performance metrics.
- Use Splunk for log analysis, monitoring, troubleshooting, and reporting.
- Work with OracleDB, MongoDB, and SQL for data analysis and troubleshooting.
- Develop Python scripts for monitoring and operational automation.
- Analyze performance issues and identify root causes across applications and infrastructure.
- Collaborate with application, infrastructure, and network teams to resolve incidents.
- Improve monitoring, alerting, and automation processes.
- Prepare performance and monitoring reports and provide actionable insights.
Mandatory Skills
- 7+ years of relevant experience
- Strong experience in Observability / Monitoring
- Hands-on experience with ThousandEyes
- Splunk
- Python Automation
- SQL
- OracleDB / MongoDB
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
KubernetesAbout Us:
CLOUDSUFI, a Google Cloud Premier Partner, is a global leading provider of data-driven digital transformation across cloud-based enterprises. With a global presence and focus on Software & Platforms, Life sciences and Healthcare, Retail, CPG, financial services and supply chain, CLOUDSUFI is positioned to meet customers where they are in their data monetization journey.
Our Values
We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.
Equal Opportunity Statement
CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace. Please explore more at https://www.cloudsufi.com/
About the role
CloudSufi is hiring an AgentOps Engineer to own the runtime, infrastructure, and operational monitoring for an AI agent testing platform deployed for an enterprise client. You will deploy and instrument agents for testing, set up observability and continuous evaluation on live traffic, and manage the cloud infrastructure the platform runs on.
Responsibilities:
- Deploy and instrument AI agents for testing and monitoring.
- Set up observability — traces, logs, and metrics — and continuous evaluation on production traffic.
- Build drift detection and alerting so quality regressions are caught early.
- Own the cloud infrastructure and CI/CD automation supporting the platform.
- Manage environments, access, and operational reliability.
Required qualifications:
- 5+ years in DevOps, MLOps, or platform engineering.
- Strong Google Cloud experience (Cloud Run, Cloud Build, Pub/Sub, Cloud Logging and Monitoring, IAM) or equivalent cloud platform.
- Experience with CI/CD automation and infrastructure as code.
- Familiarity with deploying LLM or AI agent workloads.
Preferred qualifications:
- Experience with OpenTelemetry and AI/agent observability.
- Exposure to Vertex AI, Gemini Enterprise Agent Platform, or ADK.
Data SciencePosition 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
grafanaAbout 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
KubernetesHiring Platform Engineer
Exp: 6 -- 10 yrs
Edu : BE/B.tech/MCA
Work Location : Pune
Skills :
Platform monitoring ,Incident trouble shooting, Incident recovery, openshift ,kubernetes.
2 years of IT operations, infrastructure, cloud or application support experience.
Exp in Linux command-line knowledge.
Exp in networking knowledge including IP addressing, DNS, ports and connectivity troubleshooting.
grafanaDevOps / Infrastructure Engineer
Location: Chennai
Experience: 5+ Years
Role: DevOps / Infrastructure Engineer
Job Description
We are looking for an experienced DevOps / Infrastructure Engineer with strong hands-on experience in Linux administration, containerization, Kubernetes, automation, monitoring, and troubleshooting.
Mandatory Skills
- 5+ years of experience in DevOps / Infrastructure Administration
- Strong hands-on experience with Linux Administration
- Experience with Docker and Kubernetes
- Monitoring tools: AppDynamics, Prometheus, Grafana
- Strong Shell Scripting / Python Scripting skills
- Hands-on experience with Ansible 4.1
- Strong troubleshooting and problem-solving skills
- Experience in infrastructure/application monitoring and production support
- Good understanding of DevOps practices and automation
Key Responsibilities
- Manage and support Linux-based infrastructure and production environments.
- Deploy, manage, and troubleshoot applications using Docker and Kubernetes.
- Develop and maintain automation scripts using Shell/Python.
- Automate infrastructure and configuration management using Ansible.
- Monitor applications and infrastructure using AppDynamics, Prometheus, and Grafana.
- Perform root-cause analysis and resolve infrastructure/application issues.
- Handle incidents, troubleshoot performance issues, and ensure system availability.
- Collaborate with development and operations teams to improve deployment and operational processes.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon