About Bachatt :
Bachatt has transformed how India saves. Bachatt is a young Indian fintech startup founded by 3 friends from IIT/IIM with 10+ years of relevant experience ( https://bachatt.app). Bachatt provides a savings and investment platform to specifically target over 30 crore self-employed individuals in India, who find regular mutual funds and investment platforms daunting. often have irregular income streams.
Bachatt is on a mission to bring over 30 crore Indians to invest in mutual funds, and generate wealth beyond the usual instruments of FDs and Post Office schemes. Further, the vision is to empower them to access the full suite of financial products like loans, insurance and credit cards, in a simplified and curated experience, like an offline insurance or mutual fund agent provides them.
The company was founded in November 2024 and raised over $15 million in two rounds of funding, by leading marquee investors of the likes of Lightspeed Venture Partners, Info Edge Ventures and others.
Founders : Anugrah Jain (CEO), Ankur Jhavery, and Mayank Agarwal
Job Location: Gurgaon
Role Overview
We are looking for a highly skilled DevOps Engineer (SDE III / Lead) to design, build, and scale cloud-native infrastructure and platform systems. You will play a key role in improving developer productivity, system reliability, and deployment velocity across our engineering organization. This role requires deep expertise in AWS, Kubernetes, CI/CD, observability, and modern platform engineering practices.
Key Responsibilities
- Design, build, and maintain scalable, secure, and highly available infrastructure on AWS
- Architect and manage Kubernetes clusters (EKS or self-managed) for large-scale production workloads
- Build and optimize CI/CD pipelines using Jenkins, ArgoCD, and GitOps principles
- Drive infrastructure as code (IaC) practices using tools like Terraform or CloudFormation
- Implement robust observability systems using Prometheus, Grafana, New Relic, Coralogix, etc.
- Ensure high system reliability, performance, and cost efficiency
- Automate operational workflows, deployments, and incident response processes
- Lead production incident management, root cause analysis (RCA), and postmortems
- Collaborate with development teams to improve system design, performance, and release processes
- Define and enforce best practices for security, scalability, and reliability (SRE principles)
- Mentor junior engineers and contribute to platform engineering strategy
Required Skills & Experience
- 6+ years in DevOps / Platform Engineering
- Strong hands-on experience with AWS cloud services (EC2, EKS, S3, RDS, IAM, VPC, etc.)
- Deep expertise in Kubernetes (networking, scaling, debugging, internals preferred)
- Experience with CI/CD tools like Jenkins, ArgoCD, GitHub Actions, etc.
- Proficiency in Infrastructure as Code (Terraform preferred)
- Strong understanding of observability stack (Prometheus, Grafana, New Relic, Coralogix)
- Experience with containerization (Docker) and microservices architecture
- Solid Linux fundamentals and troubleshooting skills
- Programming/scripting skills (Python, Go, Bash, or similar)
- Experience with monitoring, alerting, and incident response systems
- Strong understanding of networking, security, and distributed systems
Preferred Qualification
- Experience with AI-powered DevOps / AIOps tools
- Familiarity with LLM-based tools (e.g., GitHub Copilot, ChatGPT, internal AI assistants for DevOps workflows)
- Experience building or integrating AI-driven observability or automation systems
- Experience with multi-cloud or hybrid cloud environments
- Contributions to open-source projects or internal platform tooling
What We Value
- Strong ownership mindset and bias for action
- Ability to work in high-scale, high-availability environments
- Systems thinking and problem-solving approach
- Clear communication and collaboration skills
- Proven track record of scaling infrastructure for high-traffic systems
- Deep expertise in cost optimization and capacity planning
- Strong understanding of Kubernetes internals and cloud architecture patterns
