招聘

Staff Site Reliability Engineer - Product Area Focus
Noida, Uttar Pradesh, India
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On-site
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Full-time
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1w ago
Required Skills
AWS
Kubernetes
Terraform
Ansible
Jenkins
Java
Scala
Go
Linux
CloudFormation
CI/CD
Title: Staff Site Reliability Engineer, Product Area Focus
Location: Noida (Hybrid)
Summary of role
Own availability, the most important product feature, by continually striving for sustained operational excellence of Sumo’s planet-scale observability and security products. Work alongside your global SRE team, executing on projects in your product-area specific reliability roadmap, to optimize operations, increase efficiency in our use of cloud resources and our developer’s time, harden security posture, and increase feature velocity of our developers Work closely with multiple teams to optimize the operations of their microservices - and improve the lives of the engineers within your product area engineering teams.
Responsibilities
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Support the engineering teams within your product area by maintaining and executing a reliability roadmap of opportunities for improvement for reliability, maintainability, security, efficiency, and velocity - and help for realizing those opportunities.
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Collaborate with development infrastructure, Global SRE, and your product area engineering teams to establish and continually refine your reliability roadmap.
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Participate in defining, evolving, and managing SLOs for several teams within your product area.
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Participate in on-call rotations within your product area to understand operations workload so you can continually work to improve the on-call experience and reduce operational workload for running microservices and related components.
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Complete projects to optimize and tune on-call experience for your engineering teams.
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Continually improve the lifecycle of microservices and architectural components from inception and design, through deployment, operation, and refinement.
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Write code and automation to reduce operational workload, increase efficiency, improve security posture, eliminate toil, and enable Sumo’s developers to deliver features more rapidly.
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Work closely with the developer infrastructure teams to expedite development infrastructure adoption of tools to advance your reliability roadmap by identifying needs for your supported engineering teams, and contributing back features and bug fixes when needed.
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Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity.
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Facilitate blame-free root cause analysis meetings for incidents to learn and drive improvement
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Participate in and continually improve our global IRC (incident response coordination) for all products.
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Drive root cause identification and issue resolution with the teams.
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Work inside of a fast-paced iterative environment.
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Hire & Mentor new team members.
Required Qualifications and Skills
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Cloud native application development experience leveraging best practices and design patterns
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Strong debugging and trouble-shooting skills across the entire technology stack
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Deep understanding of AWS Networking, Compute, Storage, and managed services.
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Competency with modern CI/CD tooling like Kubernetes, Terraform, Ansible & Jenkins
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Experience with full life cycle support of services, from creation to production support
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Versed in Infrastructure as Code practices using technologies like Terraform or Cloud Formation
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Ability to author production ready code in at least one the following: Java, Scala or Go.
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Experience with Linux systems and at home on the command line
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Understand and apply modern approaches to cloud-native software security
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Experienced with agile frameworks, such as Scrum and Kanban, and how to operate within these frameworks to continually deliver value.
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Flexible and willing to step into new roles and responsibilities
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Willingness to learn and use Sumo Logic products for solving reliability and security issues
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Bachelor’s or Master's Degree in Computer Science, Electrical Engineering, or another scientific or technical discipline
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8+ years of professional experience in applied software security roles
Desirable Skills
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Experience using Sumo Logic products or other observability products for reliability and security
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Experienced with planet scale product development
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Running and operating SaaS products on AWS Cloud with expert level proficiency
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Experience with streaming technologies like Kafka, Kafka Streams, or KSQL
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Expert level experience in one or more of: Java, Go, Scala, or Python
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Expert level experience in one or more of: Terraform, Jenkins, Kubernetes
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Extensive experience running and tuning JVM workloads at scale
About Us
Sumo Logic, Inc. helps make the digital world secure, fast, and reliable by unifying critical security and operational data through its Intelligent Operations Platform. Built to address the increasing complexity of modern cybersecurity and cloud operations challenges, we empower digital teams to move from reaction to readiness—combining agentic AI-powered SIEM and log analytics into a single platform to detect, investigate, and resolve modern challenges. Customers around the world rely on Sumo Logic for trusted insights to protect against security threats, ensure reliability, and gain powerful insights into their digital environments. For more information, visit www.sumologic.com.
Sumo Logic Privacy Policy. Employees will be responsible for complying with applicable federal privacy laws and regulations, as well as organizational policies related to data protection.
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About Sumo Logic

Sumo Logic
PublicSumo Logic, Inc. is a cloud-based data analytics company, focusing on cybersecurity, security analytics and observability. It provides log management and analytics services based on artificial intelligence.
501-1,000
Employees
Redwood City
Headquarters
Reviews
4.0
1 reviews
Work Life Balance
3.0
Compensation
3.0
Culture
3.0
Career
3.0
Management
3.0
50%
Recommend to a Friend
Salary Ranges
2 data points
Junior/L3
Intern
Junior/L3 · Software Engineer
0 reports
$61,656
total / year
Base
-
Stock
-
Bonus
-
$52,410
$70,902
Interview Experience
4 interviews
Difficulty
3.0
/ 5
Duration
21-35 weeks
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
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