Software Development Engineer - (SRE) - II

Location: Noida

Time Type: Full time

Job Description

Job Description – Site Reliability Engineer (P20)

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences. We’re passionate about empowering people to craft beautiful and powerful images, videos, and apps, and to transform how companies interact with customers across every screen.

We’re on a mission to hire the very best and are committed to building exceptional employee experiences where everyone is respected and has equal opportunity. We know that new ideas can come from everywhere in the organization, and the next big idea could be yours!

Platform Reliability & System Engineering

• Design, build, and operate reliable, scalable, and highly available distributed systems for the Adobe Pass platform.

• Implement reliability best practices to ensure high availability, fault tolerance, and performance across multi-region cloud environments.

• Identify reliability risks, troubleshoot system bottlenecks, and implement mitigation and remediation strategies.

• Partner with software engineering and infrastructure teams to improve system resilience, scalability, and operational efficiency.

Automation & Observability

• Develop and maintain automation for deployment, monitoring, recovery, and operational workflows to reduce manual intervention.

• Build and enhance observability solutions using metrics, logs, and distributed tracing to ensure production visibility.

• Improve monitoring coverage, alert quality, and operational readiness across services.

• Contribute to automation frameworks that improve operational efficiency and reliability.

Incident Management & Operational Excellence

• Participate in on-call rotations and actively troubleshoot and resolve production incidents.

• Perform root cause analysis (RCA) and implement corrective and preventive actions.

• Contribute to incident response, service restoration, and continuous reliability improvements.

• Support production readiness reviews and ensure operational best practices are followed.

Performance & Scalability

• Analyse system performance, identify bottlenecks, and implement tuning and optimisation improvements.

• Assist in capacity planning and scaling efforts to support growing platform demand.

• Optimise infrastructure utilisation while maintaining service reliability and performance.

Collaboration & Engineering Excellence

• Collaborate with engineering, infrastructure, and operations teams to improve platform reliability and operational maturity.

• Contribute to reliability best practices, automation standards, and operational processes.

• Participate in system design discussions with a focus on scalability, reliability, and operational supportability.

• Share knowledge and contribute to improving overall team capabilities.

Qualifications

• Bachelor's in computer science, Engineering, or related field.

• 4–7 years of experience in Site Reliability Engineering, Production Engineering, or distributed systems operations.

• Strong experience operating cloud-native systems in AWS, Azure, or GCP environments.

• Proficiency in at least one programming or scripting language such as Python, Go, Java, or Bash.

• Experience with Kubernetes, containers, and microservices-based architectures.

• Experience with Infrastructure as Code tools such as Terraform or CloudFormation.

• Familiarity with monitoring and observability tools such as Prometheus, Grafana, Datadog, or OpenTelemetry.

• Understanding of distributed systems, networking, storage, and databases.

• Strong troubleshooting, debugging, and problem-solving skills.

Preferred Qualifications

• Experience supporting high-availability, large-scale production systems.

• Familiarity with CI/CD pipelines and automation tooling.

• Experience working with distributed data systems such as Kafka or similar technologies.

• Knowledge of reliability engineering principles such as SLOs, SLIs, and incident management.

• Cloud or Kubernetes certifications (AWS, GCP, Azure, CKA, CKAD) are a plus.

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. 

Let’s Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email [email protected] or call +1 408-536-3015. 

AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.