Sr. Enterprise Applications Developer
Aviatrix is looking for a Senior Enterprise Applications Developer in Bengaluru to join their Tech Ops team. The role focuses on designing and maintaining secure, scalable enterprise applications using a serverless stack including AWS Lambda, Node.js, and Python. Candidates will work on internal integrations, LLM-powered applications, and security solutions. This is an IC role requiring 5+ years of experience and cross-functional collaboration.
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Experience
5+ years
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
Aviatrix is looking for a Senior Enterprise Applications Developer in Bengaluru to join their Tech Ops team. The role focuses on designing and maintaining secure, scalable enterprise applications using a serverless stack including AWS Lambda, Node.js, and Python. Candidates will work on internal integrations, LLM-powered applications, and security solutions. This is an IC role requiring 5+ years of experience and cross-functional collaboration.
TAL's take
Solid mid-stage infrastructure company with clearly defined tech stack and project scope.
Very clear JD with specific technical requirements and well-defined 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
- Bachelor's degree in Computer Science or Engineering
- 5+ years of professional software development experience
- Hands-on experience with AWS Lambda, Step Functions, Node.js, Python, React, and Postgres
- Understanding of distributed systems, API design, and application security
- Ability to leverage AI tools in development workflow
- Strong communication and collaboration skills
Tools and skills
Nice to have: devops, ci/cd, test automation.
About the company
Established cloud-native security company, widely recognized in the infrastructure domain.
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?