Sr. MTS – Cloud Test
Aviatrix is a cloud-native security firm seeking a Senior MTS – Cloud Test engineer for their Bengaluru team. The role focuses on performance testing, scalability, and network validation across cloud environments like AWS and Azure. Candidates will use Python-based automation and open-source network tools to ensure product quality and troubleshoot complex networking issues. The role requires strong knowledge of routing protocols and Linux.
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Experience
3+ years
Function
Quality Assurance
Work mode
Onsite, India
Company
Tier 2
What you will work on
Aviatrix is a cloud-native security firm seeking a Senior MTS – Cloud Test engineer for their Bengaluru team. The role focuses on performance testing, scalability, and network validation across cloud environments like AWS and Azure. Candidates will use Python-based automation and open-source network tools to ensure product quality and troubleshoot complex networking issues. The role requires strong knowledge of routing protocols and Linux.
TAL's take
Solid tier-2 role in specialized cloud networking domain with clear, well-defined responsibilities.
The JD is highly specific regarding the technical stack (networking protocols, cloud providers) and responsibilities.
Salaries at Aviatrix
13.0 LPA average
Based on 1 Grapevine salary entries for Aviatrix.
Other roles
2 - 4 years
13 LPA average
Range: 13 - 13 LPA
Must haves
- 3+ years in cloud networking, QA or network engineering
- Hands-on experience with AWS, Azure, GCP, or OCI networking
- Familiarity with IPsec, BGP, routing protocols, and firewall appliances
- Python-based test automation (pytest)
- Good experience working in Linux environments
Tools and skills
About the company
Established cloud-native security company, though not a household name in the tier-1 consumer brand sense.
Posts mentioning Aviatrix
Need some clarity--Switching from Networking to AI ?
I'm 21F and completed my BCA in 2024 with specialization in Data Science. Luckily, I landed a job right after graduation - currently working at Accenture. Now here's the catch: during my probation, I was trained in Networking (wasn't really given a choice), and naturally, I got staffed on a Networking project. My current tech stack includes: •Azure Cloud •Palo Alto •ServiceNOW •F5 Load Balancer •Aviatrix Now, despite having a Data Science background, I'm working full-time in Networking. But since I'm pursuing my Master's with an Al/ML specialization, I've been wondering... *How realistic is it to switch from Networking to Al?* I'll be honest: my interest in Al is there, but it's not super deep yet. I'm just curious about the field and its future potential. Since I'm still at the very beginning of my career, I'm completely open to switching my tech stack if it means stepping into a space that has higher demand and less competition over time. I do understand that both Networking and Al are strong fields with solid career paths. But right now, I'm trying to figure out where to focus my energy whether to continue down the Networking route I've started on, or to pivot and start building toward AI ? Would love to hear from folks who've been there at similar crossroads. What would you do in my position?
To Data engineers here
Quick nd short background of me -- I've 1 year exp. in Cloud Networking (support role), working with Azure, F5, Palo Alto, Panorama, Aviatrix, Grafana, currently exploring DevOps automation too. The thing is Networking wasn’t my planned domain, I had my training in this so automatically got into Networking project as well, but, now I’m considering a shift to Data Engineering. No doubt my current project is good, but I really feel stuck. Pls help me clear - Is Data Engineering still a strong career choice? - Current and future demand (next 15–20 years)? - Is this a good career switch for me? I'm aware all of these things would be available online but I wanted real interaction so thankss in advance. 🙂↕️ Any guidance or suggestions would really help.
Need some clarity-- Switching from Networking to AI ?
I'm 21F and completed my BCA in 2024 with specialization in Data Science. Luckily, I landed a job right after graduation - currently working at Accenture. Now here's the catch: during my probation, I was trained in Networking (wasn't really given a choice), and naturally, I got staffed on a Networking project. My current tech stack includes: •Azure Cloud •Palo Alto •ServiceNOW •F5 Load Balancer •Aviatrix Now, despite having a Data Science background, I'm working full-time in Networking. But since I'm pursuing my Master's with an Al/ML specialization, I've been wondering... *How realistic is it to switch from Networking to Al?* I'll be honest: my interest in Al is there, but it's not super deep yet. I'm just curious about the field and its future potential. Since I'm still at the very beginning of my career, I'm completely open to switching my tech stack if it means stepping into a space that has higher demand and less competition over time. I do understand that both Networking and Al are strong fields with solid career paths. But right now, I'm trying to figure out where to focus my energy whether to continue down the Networking route I've started on, or to pivot and start building toward AI ? Would love to hear from folks who've been there at similar crossroads. What would you do in my position?