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AWS DevSecOps [Founding]

Valerie Group

2 - 5 years

Bengaluru

Posted: 29/05/2026

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Job Description

Were looking for a founding AWS DevSecOps engineer who will act as the primary architect and builder of our entire technology foundation.

This is a true Greenfield opportunity, no legacy systems, no constraints, no existing infra. You will design and build everything from scratch for an AI-driven product at the intersection of MarTech and advanced data systems.

This role is for someone who thrives in ambiguity, takes ownership, and can bridge cloud infrastructure, data pipelines, and AI systems into one cohesive platform.

What Youll Own

  • Architect and deploy scalable, secure AWS infrastructure (EC2, S3, RDS, Lambda, VPC, IAM)
  • Design and build the end-to-end data layer (ingestion processing storage usage)
  • Build 01 systems from scratch, making foundational architectural decisions
  • Translate high-level product ideas into working systems, data flows, and infrastructure
  • Work across product, data, and AI teams to ensure systems are integrated, not siloed
  • Build and automate CI/CD, internal tooling, and AI-enabled workflows
  • Enable and support AI/ML systems in production, including data pipelines and infra
  • Make independent technical decisions in an environment with evolving requirements
  • Continuously improve systems based on real usage, scale, and constraints not theory
  • Contribute to AI agents, prompt workflows, and product-level automation use cases

What Were Looking For

AWS & System Design

  • 5+ years of hands-on experience building on AWS
  • Strong understanding of distributed systems and scalable architecture
  • Ability to translate ambiguous requirements into clear technical systems
  • AWS Certification (Solutions Architect / DevOps Engineer) is required

0 1 Ownership

  • Proven experience building production systems from scratch
  • Comfortable operating with high ownership and low structure
  • Strong decision-making ability under uncertainty and evolving requirements

Infrastructure & Data Engineering

  • Strong experience with Infrastructure as Code (Terraform required)
  • Experience designing and building data pipelines and data flows
  • Hands-on with high-volume systems, storage layers, and data processing

AI & Modern Cloud Stack

  • Experience working with or supporting AI/ML systems in production
  • Familiarity with RAG architectures, vector databases (OpenSearch, Pinecone, etc.)
  • Strong understanding of containerized environments (EKS/ECS, Docker)

Observability & Reliability

  • Experience implementing monitoring using CloudWatch, Prometheus, Grafana
  • Strong understanding of performance optimization, scaling, and system reliability

This is a role for someone who wants to build something from zero, not optimize what already exists.


Must have:

  • 5+ years of experience in AWS, DevOps and cloud infrastructure
  • Strong hands-on expertise with AWS services including EC2, VPC, IAM, S3, RDS, Route53, CloudWatch and Load Balancers
  • Experience building and scaling cloud-native infrastructure for SaaS or AI-driven products
  • Strong Infrastructure as Code experience using Terraform
  • Hands-on experience with Docker, CI/CD pipelines and production deployments
  • Strong understanding of Linux, networking, debugging and incident management
  • Experience with cloud security, IAM, secrets management and infrastructure best practices
  • Exposure to AI/LLM infrastructure, vector databases and RAG-based systems
  • Experience working with distributed systems and event-driven architectures
  • Ability to thrive in fast-paced startup or 01 environments with high ownership
  • Experience with Kubernetes/EKS and container orchestration


Good to have:

  • Exposure to Lambda, EventBridge, Step Functions or serverless architectures
  • Experience with Kafka, Redis, SQS or high-throughput systems
  • Familiarity with LangChain, LangGraph, LlamaIndex or AI orchestration tools
  • Exposure to GPU workloads, inference systems or MLOps environments
  • Experience with Snowflake, Redshift, BigQuery or modern data platforms
  • Strong cloud cost optimization and observability experience
  • Founder mindset with strong execution and problem-solving ability


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