Software Engineer– Data Security/Ai security

Company: Securelytix
Location: Bengaluru / Hybrid
Experience: 2–4 years
Employment: Full-time
About Securelytix
Securelytix is building the security control layer between AI agents and enterprise data.
Our products focus on data security, tokenization, privacy infrastructure and secure access for AI-driven applications. We are building for enterprises where sensitive data cannot be exposed to uncontrolled AI systems and applications.
We are backed by a strong engineering team and areworking with enterprise customers across fintech, e-commerce and other regulated industries.
Why Securelytix
Securelytix is entering a young but rapidly developing market at the intersection of AI, data security and privacy infrastructure.
With the DPDP compliance timelines approaching, enterprises are increasingly evaluating how they discover, protect, tokenize and control sensitive data across applications and AI systems. We have already started engaging with enterprises, and demand and conversations are beginning to come in from the market, including PET (Privacy-Enhancing Technologies) use cases.
This is still an early market — which means the opportunity is not just to join an existing product team, but to help define the technology and engineering standards for an emerging category.
You will work on problems around:
Data vaulting & tokenization
AI-agent security and identity
Privacy-enhancing technologies
Enterprise data protection
Distributed systems and security infrastructure
Building products from 0 → 1 → enterprise scaleIf you wa
nt to work on hard engineering problems in a market that is still being defined, this is the stage to join.
What You'll Work On
Build high-performance backend services and APIs
Design distributed and fault-tolerant systems
Work on data vaulting, tokenization and privacy infrastructure
Build authentication, authorization and identity systems
Develop security infrastructure for AI agents
Work with Go, Kubernetes, PostgreSQL, Redis and cloud infrastructure
Integrate with KMS, encryption and secrets-management systems
Solve complex concurrency, reliability and performance problems
Participate in architecture and security decisions
Own features from design to production
What We're Looking For
2–4 years of strong backend engineering experience
Strong programming fundamentals and problem-solving ability
Experience with Go / Java / Python
Strong understanding of APIs, databases and distributed systems
Good understanding of Linux, networking and cloud infrastructure
Experience with Kubernetes is a plus
Cybersecurity / IAM / authentication / encryption experience is a strong plus
Experience at companies such as Google, Microsoft, AWS, Palo Alto Networks, CrowdStrike, Cisco, Okta, Datadog, Snowflake, Cloudflare, Postman, Razorpay or similarly strong engineering organizations is highly valued.
However, pedigree is not mandatory. We care more about what you have built and how you think.
What We Value
We are looking for engineers who:
Think independently rather than simply implementing instructions
Can challenge architectural assumptions
Understand the "why" behind the code
Enjoy solving difficult systems problems
Take ownership from design to production
Use AI as an engineering tool, but don't outsource their engineering judgment to AI
Why Join Securelytix?
Work on 0→1 Data Security infrastructure
Solve problems at the intersection of AI + Security + Data + NHI
Work directly with experienced engineering leadership
High ownership and fast career growth
Meaningful ESOP opportunity
Competitive compensation
Opportunity to become a core engineering leader as the company scales
Build technology for global enterprise customers
Who Should Apply
If you're a 2–4 year backend engineer who wants to move beyond routine application development and build deep infrastructure/security systems, we'd like to hear from you.

Work arrangement
Hybrid