Lead SDE - DevOps

Flourish Ventures; Chennai District; On-site; INR 2,000,000 - 3,000,000; Full time

Benefits offered by this job

Inclusive and people-first culture

Health & wellness programs

Comprehensive medical insurance

Performance-based ESOPs

Learning opportunities

Job summary

Flourish Ventures is seeking a Lead DevOps Engineer to specialize in AI-native infrastructure and platform engineering. You will architect and manage scalable multi-cloud environments, ensuring high performance and security.

This position requires extensive experience in CI/CD automation, Kubernetes, and cloud infrastructure management. The role emphasizes collaboration and mentorship, making it ideal for those passionate about driving a DevOps culture.

The company offers a people-first environment with excellent benefits and growth opportunities.

Qualifications

• 8+ years of experience in DevOps, SRE, platform engineering, or cloud infrastructure engineering.
• Strong expertise in multi-cloud architecture and services.
• Experience with payments infrastructure and optimization.

Responsibilities

• Architect, automate, and optimize multi-cloud infrastructure.
• Build and maintain CI/CD pipelines.
• Implement observability stacks and incident response practices.

Skills

Multi-cloud architecture expertise

Infrastructure as Code using Terraform

Kubernetes and container management

CI/CD automation

Scripting in Python, Bash, or Go

Education

B.E. or B.Tech in Computer Science or equivalent

Tools

Terraform

CloudFormation

Docker

GitHub Actions

Job description

About the Role

M2P Fintech is looking for a highly skilled Lead DevOps Engineer (AI‑Native Infrastructure & Platform Engineering) with deep expertise in multi‑cloud infrastructure, automation, AI infrastructure operations, and modern DevOps/SRE practices. This role goes beyond traditional DevOps and requires a seasoned specialist capable of building and operating AI‑ready infrastructure platforms that support high‑throughput APIs, LLM/AI workloads, GPU/CPU‑based compute, data‑intensive systems, and real‑time inference pipelines.

You will be responsible for architecting, automating, securing, and optimizing highly scalable and cost‑efficient cloud environments that enable high‑velocity engineering and AI teams. This is an ideal position for someone who combines technical ownership, an automation‑first mindset, and a passion for developer productivity and platform reliability.

Cloud Infrastructure & Platform Engineering (MultiCloud)

• Architect, deploy, and manage highly scalable and secure infrastructure on multi‑cloud (AWS, GCP, Azure, OCI). Design cloud platforms supporting payments infrastructure, data pipelines, real‑time APIs, and high‑concurrency backend systems.
• Hands‑on expertise with key multi‑cloud services including VM, ECS/EKS/GKE/AKE/OKE, Lambda, RDS, DynamoDB, S3, VPC, CloudFront, IAM, CloudWatch, and GPU‑enabled instances.
• Build and maintain Infrastructure‑as‑Code (IaC) using Terraform and CloudFormation.
• Design multi‑AZ and multi‑region architectures for high availability and disaster recovery.
• Build reusable platform templates and shared infrastructure modules.

CI/CD, Automation & Developer Productivity

• Build and maintain CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or AWS CodePipeline.
• Automate deployments, environment provisioning, and release workflows. Build self‑service developer platforms, preview environments, and reusable deployment workflows to improve developer productivity.
• Implement automated patching, scaling, backups, cleanup workflows, and drift detection.

Containers, Kubernetes & Platform Reliability

• Manage Docker‑based environments, containerized applications, and optimize workloads using Kubernetes multi‑cloud K8s engines.
• Manage autoscaling, cluster health, node pools, ingress, service mesh, and workload isolation.
• Optimize infrastructure for performance, resilience, and cost‑efficiency. Implement progressive deployment strategies including blue/green, canary, and rolling deployments.

Observability, Incident Response & SRE Practices

• Implement observability stacks using CloudWatch, Prometheus, Grafana, ELK, Datadog, OpenTelemetry, or New Relic.
• Build actionable dashboards and intelligent alerting systems while defining and tracking SLIs, SLOs, and SLAs.
• Lead incident response, root cause analysis, and blameless post‑mortems to reduce operational toil and improve MTTR.

FinOps, Cost Governance & Security

• Continuously monitor and optimize cloud costs (compute utilization, storage lifecycle, data transfer) using Cloud Cost Explorer, Budgets, Trusted Advisor, CloudHealth, or Kubecost.
• Implement security best practices for IAM, VPCs, security groups, NACLs, encryption, and manage secrets using KMS, SSM Parameter Store, or Vault.
• Build secure CI/CD pipelines with automated security checks, least‑privilege access, audit logging, and ensure compliance readiness for ISO 27001, SOC 2, and GDPR.

Collaboration, Leadership & Platform Culture

• Work closely with payments engineering, product, and operations teams to drive a DevOps, SRE, GitOps, and automation‑first culture.
• Mentor junior DevOps and platform engineers while creating and maintaining detailed runbooks, architecture diagrams, and platform documentation.

What You’ll Need to Be Successful in this Role

• B.E. or B.Tech in Computer Science or an equivalent degree.
• 8+ years of experience in DevOps, SRE, platform engineering, or cloud infrastructure engineering.
• Strong expertise in multi‑cloud architecture, services, and deep understanding of Kubernetes, containers, and cloud‑native systems.
• Strong Infrastructure‑as‑Code expertise using Terraform and CloudFormation.
• Strong Linux administration, networking, DNS, routing, and load‑balancing knowledge.
• Strong scripting/programming experience in Python, Bash, or Go (preferred).
• Experience with CI/CD automation, GitOps workflows, and observability platforms supporting scalable production systems.
• Experience with payments infrastructure, prepaid, debit, UPI, FRM, credit, and inference optimization.
• Familiarity with Kafka, Redis, multi‑DBs, and event‑driven systems.
• Exposure to platform engineering, internal developer platforms, and tools like ArgoCD, Helm, and OpenTelemetry.
• Any certifications: Solutions Architect, DevOps Engineer, or SysOps Administrator.
• Knowledge of distributed systems and large‑scale platform operations.

Perks and Benefits

• Inclusive and people‑first culture
• Health & wellness programs
• Comprehensive medical insurance
• Recognition programs
• Performance‑based ESOPs
• Learning opportunities