採用
必須スキル
Python
AWS
Docker
Terraform
Linux
Job Requisition ID
26WD96546
Position Overview
An exciting new opportunity has opened for a Site Reliability Engineer within the Autodesk Customer success Technical Advisory team. The successful candidate will wear multiple hats: first responder, performance analyst, system architect, capacity planner, and monitoring expert. Good technical and communication skills are required for you to be successful in this role. A passion for learning new technologies and a desire to solve problems you come across are the keys to being successful in this role.
Roles and Responsibilities:
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Architect and implement hosting solutions for highly dynamic SaaS web applications, ensuring reliability and performance at scale
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Design, implement, and maintain Infrastructure-as-Code solutions to support scalable, reliable, and secure global environments
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Ensure efficient and well-documented standards, processes, and best practices
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Implement security and compliance with best practices across infrastructure and applications, including hardening, enforcing least privileges
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Use modern administration tools like Docker, Terraform, AWS CloudFormation/CDK to manage and deploy containers and virtual machines
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Collaborate with development, testing, and documentation teams during the product development cycle to ensure quality control
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Automate processes and integrate new technologies as needed
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Define and monitor Service Level Objectives (SLOs), Service Level Indicators (SLIs), and manage error budgets to ensure reliability goals are met
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Work with stakeholders to align technical strategy with business requirements
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Participate in on-call support and incident management, ensuring timely resolution and clear communication
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Conduct post-incident blameless postmortems to identify root causes and drive continuous improvement
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Self-starter mindset with a strong drive to learn and own initiatives to promote a culture of continuous improvement, and excellence
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Design and maintain monitoring, logging, and observability frameworks to ensure full visibility into system health
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Use observability platforms such as CloudWatch, Dynatrace, Splunk, New Relic, or Grafana to identify performance bottlenecks and optimize system performance
Minimum Requirements:
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5+ years DevOps/SRE experience with cloud-based applications
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Advanced hands-on experience Linux administration skills, including monitoring, troubleshooting, reliability and security
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Experience with incident management platforms (Pager Duty, Opsgenie, Service Now)
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Familiarity with AI-assisted operations (AIOps) for intelligent alerting, anomaly detection, and incident triage
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Experience managing large-scale cloud infrastructure (AWS preferred)
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Strong scripting abilities (eg. Bash, Python, Perl, etc)
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Expert-level knowledge of AWS services (EC2, ECS, EKS, Lambda, ELB, S3, IAM, VPC, Dynamo DB, RDS, etc)
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Hands-on experience with Docker, Kubernetes and container technologies
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Proficiency with infrastructure-as-code tools (Terraform, CloudFormation)
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Experience with CI/CD tools. (Jenkins, Artifactory, GIT, etc)
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Skilled in log analysis and monitoring tools (CloudWatch, Splunk, Dynatrace, New Relic, Grafana)
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Experience with relational/vector databases (MySQL, PostgreSQL, MSSQL), RAG and GraphQL, SQL
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Excellent problem-solving skills and ability to work independently
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Excellent written and verbal communication skills
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Bachelor's degree in computer science or related field
Salary Transparency
Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
Learn More
About Autodesk
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
Salary transparency
Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
Sales Careers
Working in sales at Autodesk allows you to build meaningful relationships with customers while growing your career. Join us and help make a better, more sustainable world. Learn more here: https://www.autodesk.com/careers/sales
Diversity & BelongingWe take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging
Are you an existing contractor or consultant with Autodesk?
Please search for open jobs and apply internally (not on this external site).
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Autodeskについて

Autodesk
PublicAutodesk, Inc. is an American multinational software corporation that provides software products and services for the architecture, engineering, construction, manufacturing, media, education, and entertainment industries.
10,001+
従業員数
San Francisco
本社所在地
$50B
企業価値
レビュー
3.0
3件のレビュー
ワークライフバランス
3.0
報酬
2.5
企業文化
2.8
キャリア
3.2
経営陣
2.5
35%
友人に勧める
良い点
Strong brand recognition in industry
Career advancement opportunities
Promotion to leadership roles
改善点
Lower compensation packages
Poor location/undesirable area
Exclusion from decision-making processes
給与レンジ
929件のデータ
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Associate Business Intelligence Analyst
2件のレポート
$131,955
年収総額
基本給
$101,504
ストック
-
ボーナス
-
$131,955
$131,955
面接体験
2件の面接
難易度
3.0
/ 5
期間
14-28週間
内定率
50%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
よくある質問
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit


