DevOps Engineer

Tipstat®; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive compensation

Growth opportunities

Collaborative team culture

Job summary

A leading technology firm in Bengaluru is looking for a skilled DevOps Engineer to enhance its DevSecOps and MLOps processes. The ideal candidate will have strong experience in creating scalable infrastructures, managing CI/CD pipelines, and ensuring cloud security. This full-time position offers competitive compensation and a collaborative culture focused on growth and innovation, ideal for mid-senior level professionals aiming to make a real-world impact.

Qualifications

• Strong experience in DevSecOps and MLOps/LLMOps is essential.
• Hands-on experience with building scalable, secure infrastructure.
• Knowledge in CI/CD pipelines and container orchestration is mandatory.

Responsibilities

• Design and manage scalable, fault-tolerant infrastructure.
• Integrate security automation into CI/CD pipelines.
• Collaborate with teams to operationalize model workflows.

Skills

Python

Bash

Go

GitHub Actions

GitLab CI

Jenkins

ArgoCD

PostgreSQL

Redis

Vector DBs

Tools

Kubernetes

Terraform/OpenTofu/Terragrunt

Prometheus

Grafana

ELK

Loki

Vault

Kubeflow

MLflow

Airflow

Job description

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We are looking for a highly skilled DevOps Engineer with strong experience in DevSecOps and MLOps / LLMOps to design, automate, and secure our development and deployment pipelines. You will play a critical role in building scalable, secure, and production‑ready infrastructure to support both traditional applications and machine learning / LLM workloads. This role demands a strong understanding of Kubernetes, CI/CD pipelines, infrastructure‑as‑code, model lifecycle management, and cloud‑native security practices.

DevOps & Infrastructure

• Design, implement, and manage scalable, fault‑tolerant infrastructure on cloud or hybrid environments (AWS / GCP / Azure / Hetzner / Bare metal).
• Develop and maintain CI/CD pipelines using tools like GitHub Actions, GitLab CI, Jenkins, or ArgoCD.
• Manage containerized workloads using Kubernetes, Helm, and Docker.
• Implement infrastructure as code (IaC) with Terraform / OpenTofu / Terragrunt.
• Monitor system performance, availability, and cost efficiency using Prometheus, Grafana, ELK, or Loki.

DevSecOps

• Integrate security automation into CI/CD pipelines (SAST, DAST, SCA, dependency scanning).
• Implement policy as code using OPA / Conftest and enforce RBAC / IAM best practices.
• Manage secrets and credentials using tools like Vault, Sealed Secrets, or External Secrets Operator.
• Set up vulnerability scanning and runtime protection (e.g., Trivy, Falco, Aqua Security).
• Define security baselines for infrastructure, network, and containers.

MLOps / LLMOps

• Collaborate with ML and data teams to operationalize model training, evaluation, and deployment.
• Build automated pipelines for data preprocessing, model training, and inference deployment using tools like Kubeflow, MLflow, or Airflow.
• Manage feature stores, model registries, and monitoring for drift, latency, and accuracy.
• Support LLM pipelines — prompt orchestration, fine‑tuning, vector DB integrations, and retrieval‑augmented generation (RAG).
• Optimize GPU‑based workloads and manage distributed training / inference infrastructure.

Required Skills & Qualifications

• Languages: Python, Bash, Go (preferred)
• CI/CD: GitHub Actions, GitLab CI, Jenkins, ArgoCD
• Databases: PostgreSQL, Redis, Vector DBs (Milvus, Pinecone, Weaviate, Qdrant)

Nice to Have

• Experience with GPU orchestration on Kubernetes (NVIDIA operator, KServe).
• Exposure to LLM frameworks (LangChain, LlamaIndex, vLLM, Ollama).
• Knowledge of data governance and compliance (GDPR, SOC2).
• Experience with self‑hosted runners, GitOps, or multi‑cluster management.
• Familiarity with event‑driven systems (Kafka, NATS, or Redis Streams).

What We Offer

• Opportunity to work on challenging, large‑scale systems with real‑world impact.
• Collaborative team culture with focus on learning and innovation.
• Competitive compensation and growth opportunities.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Engineering and Information Technology

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