Senior - System Engineer

HCA Healthcare - India; Hyderabad; On-site; INR 1,500,000 - 2,200,000; Full time

Job summary

HCA Healthcare - India is seeking an experienced Application Support Engineer (Senior – Platform Engineer) to ensure reliability, observability, and high availability of enterprise applications. You will mentor other engineers, lead complex incidents, and drive automation across IaC, CI/CD, and cloud platforms.

The role collaborates with DevOps, SRE, Security, and Cloud teams to implement resilient practices, perform RCA, and deliver continuous improvement in production operations.

Qualifications

• Bachelor’s degree in computer science, information technology, engineering, or related discipline preferred; equivalent advanced technical experience may be considered.
• 4+ years of experience in Application Support, Production Engineering, Site Reliability Engineering, DevOps, Cloud Operations, or related technical discipline.

Responsibilities

• Serve as a technical escalation point for complex, high-impact incidents; lead cross-functional troubleshooting through service restoration.
• Troubleshoot across applications, database, API/integration, middleware, cloud, server, network, identity, security, and external dependency layers.
• Lead root cause analysis for significant incidents and drive corrective and preventive actions to reduce recurrence and risk.
• Define and improve application reliability and observability practices, dashboards, alerting, instrumentation, and monitoring coverage.
• Conduct reliability assessments; identify gaps in resiliency, automation, observability, and deployment processes; develop improvement roadmaps.
• Lead toil-reduction and design automation, self-healing, and auto-remediation workflows.
• Guide IaC, configuration management, GitOps, and CI/CD practices with Terraform, Ansible, Argo CD, Azure DevOps, GitHub or GitLab.
• Troubleshoot deployment, configuration, pipeline, rollback, and release failures; partner with engineering teams to improve reliability.
• Support major upgrades, migrations, platform modernization, patching, environment transitions, and production cutovers.
• Analyze performance/capacity trends and recommend scaling, quota, configuration, resiliency, and cost optimization.
• Provide disaster recovery leadership and validation, recovery procedures, and rollback readiness.
• Collaborate during vulnerabilities or cyber events with Security and engineering teams.
• Establish and improve standards, playbooks, runbooks, templates, and reusable patterns.
• Evaluate emerging technologies; contribute to PoCs and recommendations.
• Mentor Application Support Engineers in troubleshooting, monitoring, incident management, root cause analysis, and reliability practices.
• Use incident trends and metrics to drive continuous improvement.
• Participate in on-call or senior escalation rotation when required.

Skills

Observability

Windows/Linux

SQL Databases

Cloud Platforms

CI/CD

GitOps

Networking

Security Concepts

Incident Leadership

Mentoring

Education

Bachelor’s degree in CS/IT/Engineering

Tools

Dynatrace

Splunk

Grafana

Terraform

Ansible

Azure DevOps

GitHub/GitLab

Argo CD

Job description

General Position Information

Reports directly to (Title):Senior – Platform Engineer Matrix reports to (Title):As applicable based on functional alignment Direct Reports:Individual contributor; no direct reports Created / Last Revised:- Job Code:-

Position Summary

The Application Support Engineer is a hands‑on technical role responsible for the reliability, availability, performance, resilience, and operational maturity of enterprise and business‑critical applications. The role serves as a senior technical escalation point for complex production issues and drives improvements across observability, automation, Infrastructure-as-Code, incident management, reliability engineering, performance optimization, and operational readiness. The engineer partners with Development, Architecture, SRE, DevOps, Cloud, Database, Network, Infrastructure, and Security teams and mentors other support engineers.

Responsibilities

• Serve as a technical escalation point for complex, high-impact, and business-critical incidents; lead cross-functional troubleshooting through service restoration.
• Troubleshoot across applications, database, API/integration, middleware, cloud, server, network, identity, security, and external dependency layers using logs, metrics, traces, events, and infrastructure telemetry.
• Lead root cause analysis for significant incidents and drive corrective and preventive actions that reduce recurrence and operational risk.
• Define and improve application reliability and observability practices, including service indicators/objectives, dashboards, alerting, instrumentation, event correlation, and monitoring coverage.
• Conduct application reliability, operational-readiness, and supportability assessments; identify gaps in resiliency, automation, observability, documentation, infrastructure, and deployment processes and develop improvement roadmaps.
• Lead toil-reduction efforts and design reusable automation, self-healing, and auto-remediation workflows for repetitive operational activities.
• Guide and support Infrastructure-as-Code, configuration management, GitOps, and CI/CD practices using technologies such as Terraform, Ansible, Argo CD, Azure DevOps, GitHub, or GitLab.
• Troubleshoot complex deployment, configuration, pipeline, rollback, and release failures and partner with engineering teams to improve deployment reliability.
• Support major application upgrades, migrations, platform modernization, patching, environment transitions, and production cutovers.
• Analyze application and infrastructure performance/capacity trends and recommend scaling, quota, configuration, resiliency, and cost-optimization improvements.
• Provide technical leadership for disaster recovery, resiliency validation, recovery procedures, and rollback readiness.
• Partner with Security and engineering teams during critical vulnerabilities or cyber events and support application, infrastructure, authentication, and configuration analysis.
• Establish and improve technical standards, playbooks, runbooks, templates, operating procedures, and reusable support patterns.
• Evaluate emerging technologies and operating practices in observability, automation, cloud operations, reliability engineering, and AI-assisted operations; contribute to proof-of-concept evaluations and recommendations.
• Mentor Application Support Engineers in troubleshooting, monitoring, automation, incident management, root cause analysis, and reliability practices.
• Use incident trends, support metrics, reliability indicators, and operational data to drive measurable continuous improvement.
• Participate in an on-call or senior production escalation rotation where required.

Education & Experience

• Bachelor’s degree in computer science, Information Technology, Engineering, or a related discipline preferred; equivalent advanced technical experience may be considered.
• 4+ years of experience in Application Support, Production Engineering, Site Reliability Engineering, DevOps, Cloud Operations, or a related technical discipline.

Must Have Skills

• Strong hands‑on experience supporting enterprise or business-critical production applications and troubleshooting across multiple technology layers.
• Advanced experience with monitoring, logging, APM, and observability platforms such as Dynatrace, Splunk, Grafana, or comparable technologies.
• Strong working knowledge of Windows and/or Linux/Unix platforms, relational databases, SQL, APIs, integrations, and distributed application dependencies.
• Experience with cloud platforms such as Azure, GCP, AWS, or comparable enterprise cloud technologies.
• Hands‑on experience with CI/CD, source control, GitOps/deployment tools, Infrastructure-as-Code, and automation technologies such as Azure DevOps, GitHub/GitLab, Argo CD, Terraform, or Ansible.
• Strong understanding of networking concepts including DNS, firewall rules, ports, load balancing, routing, certificates, and application connectivity.
• Strong understanding of identity, privileged access, service accounts, secrets, and enterprise security concepts.
• Demonstrated experience leading complex incident troubleshooting, root cause analysis, and implementation of corrective/preventive improvements.
• Demonstrated ability to mentor engineers, influence cross‑functional teams, communicate technical findings, and drive engineering improvements without formal people‑management authority.

Nice To Have Skills

• Experience with Kubernetes, container orchestration platforms, and cloud‑native application support.
• Hands‑on experience with scripting or programming languages such as PowerShell, Python, Bash, C#, or Java for automation and operational tooling.
• Knowledge of SRE principles including Service Level Indicators (SLIs), Service Level Objectives (SLOs), Error Budgets, and reliability engineering practices.
• Experience supporting microservices architectures, event‑driven systems, and enterprise integration platforms.
• Familiarity with AIOps, predictive monitoring, automated remediation, and modern observability practices using machine learning‑assisted operations tools.

Licenses, Certifications & Training

• Relevant certifications in Cloud, DevOps, SRE, Infrastructure-as-Code, Kubernetes, ITIL, Linux, Microsoft Azure, Google Cloud, or related areas are beneficial.

Knowledge, Skills, Abilities, Behaviors

• Strong analytical, troubleshooting, and problem‑solving skills with the ability to diagnose and resolve complex technical issues across applications, infrastructure, cloud platforms, databases, and integrations.
• Excellent communication, collaboration, and stakeholder management skills with the ability to work effectively across engineering, operations, security, and business teams.
• Demonstrated ability to lead incident response, drive root cause analysis, and implement sustainable corrective and preventive actions that improve service reliability.
• Strong commitment to operational excellence, automation, continuous improvement, and adoption of Site Reliability Engineering (SRE) best practices.
• Ability to manage multiple priorities in a fast‑paced environment while demonstrating ownership, accountability, adaptability, and a customer‑focused mindset.