Infra Tech Support Practitioner

Accenture; Remote; USD 80,000 - 110,000; Full time

Job summary

A leading global consulting firm in the United States is seeking an Infra Tech Support Practitioner. The ideal candidate will provide technical support and maintenance for production systems, utilizing Site Reliability Engineering principles. Responsibilities include monitoring system performance, incident management, and developing automated solutions across cloud environments such as AWS and Azure. Expertise in automation tools and programming languages is essential for success in this role. Join our team to enhance service reliability and operational efficiency.

Qualifications

• 3 years of experience is required.
• Expertise in Python, Go, Bash, or JavaScript for automation.
• Hands-on with cloud environments AWS, Azure, GCP.

Responsibilities

• Monitor and optimize system uptime to meet SLOs.
• Lead incident response and drive postmortem reviews.
• Develop CI/CD pipelines and automate infrastructure management.

Skills

Site Reliability Engineering

Automation

Incident Management

Observability

Capacity Planning

Cloud IaaS and PaaS services

Education

15 years full time education

Tools

AWS

Azure

GCP

Terraform

Kubernetes

Job description

Project Role

Infra Tech Support Practitioner

Project Role Description

Provide ongoing technical support and maintenance of production and development systems and software products (both remote and onsite) and for configured services running on various platforms (operating within a defined operating model and processes). Provide hardware/software support and implement technology at the operating system‑level across all server and network areas, and for particular software solutions/vendors/brands. Work includes L1 and L2/basic and intermediate level troubleshooting.

Must have skills

• Site Reliability Engineering

Good to have skills

NA

Minimum Experience

3 year(s) of experience is required

Educational Qualification

15 years full time education

Summary

A Site Reliability Engineer (SRE) ensures systems are stable, scalable, and highly available, bridging the gap between Business Application development and IT operations. This role combines automation, observability, incident response, and performance engineering to maintain continuous service reliability while accelerating delivery velocity. The Site Reliability Engineer designs and maintains production systems that meet defined Service Level Objectives (SLOs) and error budgets. Using software engineering principles, an SRE prevents downtime, automates operations, and improves platform performance through observability, fault tolerance, and system resilience.

Key Responsibilities

• Reliability and Performance: Monitor and optimize system uptime, latency, and throughput to meet SLOs and SLIs.
• Incident Management: Lead incident response, manage escalations, perform root cause analysis (RCA), and drive postmortem reviews.
• Automation and Tooling: Develop CI/CD pipelines, automate infrastructure management, and eliminate manual toil through scripting and orchestration.
• Monitoring and Observability: Implement metrics, logging, and tracing frameworks (Prometheus, Grafana, ELK, Datadog) to gain real‑time visibility into distributed systems.
• Capacity Planning: Conduct resource forecasting, design scalable infrastructure, and handle performance under surge conditions.
• Change & Release Management: Partner with developers to ensure safe, reliable rollout of new features with automated testing and rollback mechanisms.
• Disaster Recovery & Resilience Engineering: Implement multi‑region resilience strategies, chaos tests, and failover automation for business continuity.
• Process Improvement: Use post‑incident analytics to refine operational practices and improve reliability with data‑driven improvements.
• Collaborate with product, design, ML, and DevOps teams to build intelligent workflows and user experiences.
• Implement Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, Azure DevOps or Pulumi.
• Expertise in Cloud IaaS and PaaS services.

Required Skills

• Expertise in Python, Go, Bash, or JavaScript for automation and tooling.
• Hands‑on with cloud environments AWS, Azure, GCP and orchestration tools like Kubernetes and Terraform.
• Deep understanding of Linux systems, networking, and distributed architectures.
• Experience with observability solutions Prometheus, Grafana, Datadog, CloudWatch, or New Relic.
• Familiarity with incident management and alerting platforms (PagerDuty, xmatters).
• Proficiency in CI/CD frameworks such as Jenkins, GitHub Actions, or GitLab CI.
• Working knowledge of security, compliance, and performance optimization for highly available systems.

Certifications (Required / Preferred)

• AWS Certified Solutions Architect Professional
• Microsoft Certified: Azure Solutions Architect Expert
• Google Professional Cloud Architect
• Certified Kubernetes Administrator (CKA)
• HashiCorp Certified: Terraform Associate
• Certified DevOps Engineer certifications (AWS, Azure, or Google)

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.