Tata Consultancy Services
Observability, Automation, and AIOps Architect/Lead Engineer
Tata Consultancy Services - Atlanta, Georgia, United States, 30383
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Overview
Observability, Automation, and AIOps Architect/Lead Engineer
Join to apply for the
Observability, Automation, and AIOps Architect/Lead Engineer
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Tata Consultancy Services Observability, Automation, and AIOps Architect/Lead Engineer
2 weeks ago Be among the first 25 applicants Join to apply for the
Observability, Automation, and AIOps Architect/Lead Engineer
role at
Tata Consultancy Services Get AI-powered advice on this job and more exclusive features. Must Have Technical/Functional Skills
10+ years of experience in software engineering or infrastructure architecture. 5+ years of experience in observability, automation, or AIOps domains. Strong understanding of cloud platforms (AWS preferred) and cloud-native architectures. Experience with observability tools such as Datadog, Splunk, Prometheus, Grafana, ELK, and OpenTelemetry. Proficiency in automation frameworks and scripting languages (Python, Bash, Terraform, Ansible). Familiarity with AIOps platforms and techniques including anomaly detection, event correlation, and predictive analytics. Experience with CI/CD pipelines and DevOps/DevSecOps practices. Ability to work with large-scale telemetry data and build ML models for operational intelligence. Strong communication skills and ability to present technical concepts to business audiences. Experience with Agile methodologies and working in cross-functional teams.
Must Have Technical/Functional Skills
What You Need to Succeed (Minimum Qualifications)
10+ years of experience in software engineering or infrastructure architecture. 5+ years of experience in observability, automation, or AIOps domains. Strong understanding of cloud platforms (AWS preferred) and cloud-native architectures. Experience with observability tools such as Datadog, Splunk, Prometheus, Grafana, ELK, and OpenTelemetry. Proficiency in automation frameworks and scripting languages (Python, Bash, Terraform, Ansible). Familiarity with AIOps platforms and techniques including anomaly detection, event correlation, and predictive analytics. Experience with CI/CD pipelines and DevOps/DevSecOps practices. Ability to work with large-scale telemetry data and build ML models for operational intelligence. Strong communication skills and ability to present technical concepts to business audiences. Experience with Agile methodologies and working in cross-functional teams.
Preferred Qualifications
Experience with Kubernetes, container orchestration, and service mesh technologies. Familiarity with incident management platforms (PagerDuty, Opsgenie). Knowledge of ITIL practices and SRE principles. Experience integrating observability and AIOps into enterprise ITSM platforms.
This Job Might Be For You If You Are
A problem-solver who thrives in complex, fast-paced environments. Passionate about improving system reliability and operational efficiency through intelligent automation. A collaborative team player who values empathy, communication, and continuous learning. Curious and driven to explore new technologies and approaches to enhance observability and automation. Committed to delivering high-quality solutions that make a real impact on customer and employee experiences.
Roles & Responsibilities
As Observability Architect/Lead Engineer responsible for designing, implementing, and maintaining observability solutions to ensure the health, performance, and reliability of systems and applications. They work with development, operations, and security teams to integrate observability into the software development lifecycle and define standards and best practices. This role requires strong technical skills in areas like logging, monitoring, tracing, and alerting, as well as the ability to influence and lead teams Architect and implement enterprise-grade observability and automation solutions across distributed systems and cloud-native environments. Lead the strategy and execution of AIOps initiatives to proactively detect, diagnose, and resolve incidents using machine learning and predictive analytics.Collaborate with cross-functional teams including SREs, DevOps, software engineers, and business stakeholders to align observability and automation goals with business outcomes. Design and maintain scalable telemetry pipelines for metrics, logs, traces, and events using modern observability stacks (e.g., OpenTelemetry, Prometheus, Grafana, ELK). Drive automation of operational tasks and incident response using AI/ML models and rule-based systems. Develop and maintain CI/CD pipelines integrated with observability and AIOps tools to ensure continuous feedback and improvement. Provide technical l eadership in selecting and integrating tools for monitoring, alerting, and automated remediation. Promote best practices in observability, automation, and AIOps through documentation, training, and knowledge sharing. Communicate architecture strategies and technical roadmaps to leadership and stakeholders. Operate within Agile squads and contribute to sprint planning, reviews, and retrospectives. Own and support the solutions you build, ensuring reliability, scalability, and performance.
Salary Range-$100,000-$150,000 a year
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Tata Consultancy Services by 2x Sign in to set job alerts for “Lead Automation Engineer” roles.
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Join to apply for the
Observability, Automation, and AIOps Architect/Lead Engineer
role at
Tata Consultancy Services Observability, Automation, and AIOps Architect/Lead Engineer
2 weeks ago Be among the first 25 applicants Join to apply for the
Observability, Automation, and AIOps Architect/Lead Engineer
role at
Tata Consultancy Services Get AI-powered advice on this job and more exclusive features. Must Have Technical/Functional Skills
10+ years of experience in software engineering or infrastructure architecture. 5+ years of experience in observability, automation, or AIOps domains. Strong understanding of cloud platforms (AWS preferred) and cloud-native architectures. Experience with observability tools such as Datadog, Splunk, Prometheus, Grafana, ELK, and OpenTelemetry. Proficiency in automation frameworks and scripting languages (Python, Bash, Terraform, Ansible). Familiarity with AIOps platforms and techniques including anomaly detection, event correlation, and predictive analytics. Experience with CI/CD pipelines and DevOps/DevSecOps practices. Ability to work with large-scale telemetry data and build ML models for operational intelligence. Strong communication skills and ability to present technical concepts to business audiences. Experience with Agile methodologies and working in cross-functional teams.
Must Have Technical/Functional Skills
What You Need to Succeed (Minimum Qualifications)
10+ years of experience in software engineering or infrastructure architecture. 5+ years of experience in observability, automation, or AIOps domains. Strong understanding of cloud platforms (AWS preferred) and cloud-native architectures. Experience with observability tools such as Datadog, Splunk, Prometheus, Grafana, ELK, and OpenTelemetry. Proficiency in automation frameworks and scripting languages (Python, Bash, Terraform, Ansible). Familiarity with AIOps platforms and techniques including anomaly detection, event correlation, and predictive analytics. Experience with CI/CD pipelines and DevOps/DevSecOps practices. Ability to work with large-scale telemetry data and build ML models for operational intelligence. Strong communication skills and ability to present technical concepts to business audiences. Experience with Agile methodologies and working in cross-functional teams.
Preferred Qualifications
Experience with Kubernetes, container orchestration, and service mesh technologies. Familiarity with incident management platforms (PagerDuty, Opsgenie). Knowledge of ITIL practices and SRE principles. Experience integrating observability and AIOps into enterprise ITSM platforms.
This Job Might Be For You If You Are
A problem-solver who thrives in complex, fast-paced environments. Passionate about improving system reliability and operational efficiency through intelligent automation. A collaborative team player who values empathy, communication, and continuous learning. Curious and driven to explore new technologies and approaches to enhance observability and automation. Committed to delivering high-quality solutions that make a real impact on customer and employee experiences.
Roles & Responsibilities
As Observability Architect/Lead Engineer responsible for designing, implementing, and maintaining observability solutions to ensure the health, performance, and reliability of systems and applications. They work with development, operations, and security teams to integrate observability into the software development lifecycle and define standards and best practices. This role requires strong technical skills in areas like logging, monitoring, tracing, and alerting, as well as the ability to influence and lead teams Architect and implement enterprise-grade observability and automation solutions across distributed systems and cloud-native environments. Lead the strategy and execution of AIOps initiatives to proactively detect, diagnose, and resolve incidents using machine learning and predictive analytics.Collaborate with cross-functional teams including SREs, DevOps, software engineers, and business stakeholders to align observability and automation goals with business outcomes. Design and maintain scalable telemetry pipelines for metrics, logs, traces, and events using modern observability stacks (e.g., OpenTelemetry, Prometheus, Grafana, ELK). Drive automation of operational tasks and incident response using AI/ML models and rule-based systems. Develop and maintain CI/CD pipelines integrated with observability and AIOps tools to ensure continuous feedback and improvement. Provide technical l eadership in selecting and integrating tools for monitoring, alerting, and automated remediation. Promote best practices in observability, automation, and AIOps through documentation, training, and knowledge sharing. Communicate architecture strategies and technical roadmaps to leadership and stakeholders. Operate within Agile squads and contribute to sprint planning, reviews, and retrospectives. Own and support the solutions you build, ensuring reliability, scalability, and performance.
Salary Range-$100,000-$150,000 a year
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Tata Consultancy Services by 2x Sign in to set job alerts for “Lead Automation Engineer” roles.
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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr