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Noida · On-site · 7-10 Yrs · 6 days ago
Software Development · 10000+ Employees · San Jose, US
Adobe is the global leader in digital media and digital marketing solutions. Our creative, marketing and document solutions empower everyone – from emerging artists to global brands – to bring digital creations to life and deliver immersive, compelling experiences to the right person at the right moment for the best results. In short, Adobe is everywhere, and we’re changing the world through digital experiences.
Hiring: Engineering
What employees say
+ Good brand name, Good perks (learning budget, health budget), generally good culture except for few low performing verticals
− Avoid D-ALP business unit, that's the smallest one. If you end up in that, avoid Advertisement related products. They bleed out customers every year so no matter how good you work,
More reviews on the company profile.
Interview experience · MTS-2
I attended interview process for MTS-2 Frontend Role. There was supposed to be total 4 rounds. Round 1 - JS Coding & Fundamentals and basic problem solving (Easy to Medium) I could not clear round 1 itself.
Average difficulty · Noida · 992 reports
More interview insightsJob description
Overview
We are seeking a dedicated Software Development Engineer to join our ambitious team in Noida.
Responsibilities
- Architecting, deploying, and maintaining Kubernetes clusters to meet organizational standards.
- Leading containerized applications using Kubernetes, including pod scheduling, scaling, and rolling deployments.
- Developing and maintaining automation scripts and tools for provisioning and configuring Kubernetes infrastructure, strictly adhering to infrastructure-as-code principles.
- Setting up monitoring tools and implementing alerting mechanisms to ensure the health and performance of Kubernetes clusters.
- Investigating and resolving issues related to Kubernetes infrastructure, networking, and application deployments.
- Implementing security measures to safeguard Kubernetes clusters, ensuring compliance with industry standards.
- Identifying and optimizing performance bottlenecks for efficiency and scalability.
- Analyzing resource usage patterns and forecasting capacity requirements.
- Collaborating with cross-functional teams to support application deployment and integration with Kubernetes.
- Documenting processes, configurations, and procedures to swiftly address issues.
- Staying updated with the latest developments in Kubernetes and related technologies.
- Implementing disaster recovery strategies to ensure business continuity.
- Providing mentorship and training to junior team members on Kubernetes technologies and standard processes.
Qualifications
- B. Tech / M. Tech degree in Computer Science from a premier institute.
- 7+ years of proven experience in software development and operations.
- Strong computer science fundamentals and understanding of architecture, design, and performance.
- Good understanding of Cloud Platforms, with a preference for AWS.
- Proficient in Java/Python and Shell scripting.
- Hands-on experience in writing reliable and maintainable code.
- Strong problem-solving skills and ability to work independently.
- Good understanding of Kubernetes and product life cycles.
- Technical depth in operating systems, computer architecture, and OS internals.
- Technical depth in Cloud Computing, Cloud Platforms, and Services architecture.
- Foundational knowledge in Machine Learning and Artificial Intelligence.
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Job application FAQ
Last updated 1 October 2026
- How do I apply for Machine Learning Engineer 4 - Kubernetes at Adobe?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Adobe may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Machine Learning Engineer 4 - Kubernetes role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Machine Learning Engineer 4 - Kubernetes remote or on-site in Noida, Uttar Pradesh?
- This listing is marked on_site with location Noida, Uttar Pradesh. Confirm details on the job description before applying.
- What skills matter for this Machine Learning Engineer 4 - Kubernetes role at Adobe?
- This is a mid-level Machine Learning Engineer 4 - Kubernetes role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.