Senior Devops Engineer 1

As a DevOps Engineer at YOYO, you'll own the infrastructure and delivery backbone that keeps our platform running as we grow. You'll build the CI/CD, cloud infrastructure, and observability that let a small, fast-moving team ship confidently and you'll keep our AI and data workloads reliable and affordable at scale. This is a hands-on role with real ownership: you won't be maintaining someone else's setup, you'll be shaping ours. You'll work closely with the backend, AI/ML, and data teams to make deployment boring, incidents rare, and scaling a non-event.

If you are Interested DM me on LinkedIn - Saquib Mundagnur

 What You'll Own

CI/CD & developer experience - Build and maintain fast, reliable CI/CD pipelines so engineers ship multiple times a day with confidence. - Make the path from commit to production simple, safe, and repeatable, with sensible automated testing, rollbacks, and release controls.Cloud infrastructure & IaC - Own our cloud infrastructure (AWS/GCP) end to end, managed as code (Terraform or similar) — no click-ops. - Design for scale and cost-efficiency as store and conversation volumes grow.

Containers & orchestration - Run our services on containers/Kubernetes: deployments, autoscaling, networking, and resource management. - Support the specific needs of AI/ML workloads, including GPU-backed inference and batch processing for the speech pipeline.

Reliability & observability (SRE) - Own uptime, performance, and incident response — monitoring, logging, tracing, alerting, on-call, and blameless postmortems. - Define and defend SLOs; keep the platform dependable as it scales across clients.

Data & pipeline infrastructure - Support the infrastructure behind large-scale, edge-to-cloud data movement and processing (audio ingestion, ASR/AI pipelines, analytics). - Keep data workloads reliable, performant, and cost-aware.

Security & compliance - Bake security into the platform: secrets management, IAM/least-privilege, encryption in transit and at rest, network hardening, and vulnerability management. - Support compliance readiness (including India's DPDP Act and enterprise-client security requirements) for a product that handles sensitive customer conversations.

Cost & scale - Own cloud cost visibility and optimization; make scaling decisions that balance reliability and spend. 

What You'll Bring - 6+ years in DevOps, SRE, platform, or infrastructure engineering, running production systems at meaningful scale.

- Strong hands-on experience with a major cloud provider (**AWS or Azure or GCP**) and Infrastructure-as-Code (**Terraform** or equivalent).

- Solid experience with **containers and Kubernetes** in production. - Experience building and owning **CI/CD** pipelines (e.g. GitHub Actions, GitLab CI, Jenkins, Argo, or similar).

- Comfort with a scripting/automation language (Python, Go, or Bash) and a strong automation-first mindset.

- Real experience with **observability** (Prometheus/Grafana, ELK, Datadog, OpenTelemetry, or similar) and running incident response / on-call.

- A security-conscious approach — secrets, IAM, encryption, and least-privilege as defaults. - Startup temperament: ownership, pragmatism, and a bias to automate and ship. - Based in or willing to relocate to Bangalore, and up for an onsite/hybrid, in-person team

Job Summary

We are looking for an experienced DevOps Engineer with strong expertise in Linux administration, CI/CD automation, containerization, Kubernetes, cloud platforms, and Infrastructure as Code (IaC). The candidate should have experience in observability, DevSecOps practices, networking, AIOps, and certificate and secret management.

Mandatory Skills

• Strong experience in Linux administration and troubleshooting.
• Hands-on experience with Git and version control systems.
• Strong knowledge of CI/CD pipelines and automation.
• Experience with Docker and containerization.
• Hands-on experience with Kubernetes and/or OpenShift.
• Cloud experience with AWS and/or Microsoft Azure.
• Infrastructure as Code (IaC) using Terraform.
• Scripting experience using Python and Shell scripting.
• Monitoring and observability tools such as Prometheus, Grafana, AppDynamics, and Splunk.

Additional Skills

• Knowledge of DevSecOps practices and security integration into CI/CD pipelines.
• Understanding of networking concepts and troubleshooting.
• Exposure to AIOps and intelligent monitoring solutions.
• Experience with certificate management and secrets management.
• Knowledge of infrastructure automation, deployment, and performance monitoring.
• Strong troubleshooting, problem-solving, and collaboration skills.

Key Responsibilities

• Design, implement, and maintain CI/CD pipelines for automated build and deployment processes.
• Manage and troubleshoot Linux systems, Docker containers, and Kubernetes/OpenShift environments.
• Automate infrastructure provisioning and configuration using Terraform.
• Manage cloud infrastructure across AWS and/or Azure.
• Develop automation scripts using Python and Shell.
• Implement monitoring, logging, and observability solutions.
• Integrate security practices into DevOps workflows and CI/CD pipelines.
• Manage certificates, secrets, and secure access to infrastructure and applications.
• Troubleshoot infrastructure, application, networking, and deployment issues.
• Improve system reliability, scalability, security, and operational efficiency.

Job Specification:

Work Experience: 7 to 10 Years

Work Location:  Bangalore

Mode of Employment: Permanent

Education Qualification required: Any Degree

Job Description:

We are looking for an experienced DevOps Engineer with strong expertise in Linux, CI/CD, containerization, cloud platforms, Infrastructure as Code (IaC), and observability. The ideal candidate should have hands-on experience with Kubernetes, OpenShift, Terraform, scripting, DevSecOps, and modern monitoring practices.

Responsibilities:

• Manage and maintain Linux-based systems, cloud infrastructure, and production environments.
• Develop, maintain, and optimize CI/CD pipelines using Git and related automation tools.
• Deploy and manage containerized applications using Docker, Kubernetes (K8s), and OpenShift.
• Provision and manage cloud infrastructure on AWS and/or Microsoft Azure.
• Automate infrastructure provisioning and configuration using Terraform.
• Develop automation scripts using Python and Shell scripting.
• Implement observability and monitoring solutions using Prometheus, Grafana, AppDynamics, and Splunk.
• Troubleshoot production incidents, perform root cause analysis (RCA), and improve system reliability and availability.
• Implement DevSecOps practices, security controls, and vulnerability management across CI/CD pipelines.
• Manage cloud networking, connectivity, and infrastructure-related configurations.
• Support AIOps initiatives to improve incident detection, analysis, and operational efficiency.
• Manage SSL/TLS certificates, secrets, and secure credential rotation.

Required Skills:

• Strong hands-on experience with Linux.
• Good knowledge of Git and CI/CD pipelines.
• Experience with Docker, Kubernetes (K8s), and/or OpenShift.
• Working experience with AWS and/or Microsoft Azure.
• Hands-on experience with Terraform and Infrastructure as Code (IaC).
• Scripting knowledge in Python and/or Shell.
• Experience with Prometheus, Grafana, AppDynamics, and/or Splunk.
• Knowledge of DevSecOps, networking, and cloud security fundamentals.
• Understanding of AIOps concepts and automated operations.
• Experience with certificate lifecycle management and secrets management.

 The Role 

As a **DevOps Engineer** you'll own the infrastructure and delivery backbone that 

keeps our platform running as we grow. You'll build the CI/CD, cloud infrastructure, and 

observability that let a small, fast-moving team ship confidently — and you'll keep our AI and 

data workloads reliable and affordable at scale. 

This is a hands-on role with real ownership: you won't be maintaining someone else's setup, 

you'll be shaping ours. You'll work closely with the backend, AI/ML, and data teams to make 

deployment boring, incidents rare, and scaling a non-event. --- 

What You'll Own 

**CI/CD & developer experience** 

- Build and maintain fast, reliable CI/CD pipelines so engineers ship multiple times a day with 

confidence. - Make the path from commit to production simple, safe, and repeatable, with sensible 

automated testing, rollbacks, and release controls. 

**Cloud infrastructure & IaC** - Own our cloud infrastructure (AWS/GCP) end to end, managed as code (Terraform or 

similar) — no click-ops. - Design for scale and cost-efficiency as store and conversation volumes grow. 

**Containers & orchestration** - Run our services on containers/Kubernetes: deployments, autoscaling, networking, and 

resource management. - Support the specific needs of AI/ML workloads, including GPU-backed inference and batch 

processing for the speech pipeline. 

**Reliability & observability (SRE)** - Own uptime, performance, and incident response — monitoring, logging, tracing, alerting, 

on-call, and blameless postmortems. - Define and defend SLOs; keep the platform dependable as it scales across clients. 

**Data & pipeline infrastructure** - Support the infrastructure behind large-scale, edge-to-cloud data movement and 

processing (audio ingestion, ASR/AI pipelines, analytics). - Keep data workloads reliable, performant, and cost-aware. 

**Security & compliance** - Bake security into the platform: secrets management, IAM/least-privilege, encryption in 

transit and at rest, network hardening, and vulnerability management. - Support compliance readiness (including India's DPDP Act and enterprise-client security 

requirements) for a product that handles sensitive customer conversations. 

**Cost & scale** - Own cloud cost visibility and optimization; make scaling decisions that balance reliability 

and spend. --- 

What You'll Bring - 6+ years in DevOps, SRE, platform, or infrastructure engineering, running production 

systems at meaningful scale. - Strong hands-on experience with a major cloud provider (**AWS or Azure or GCP**) and 

Infrastructure-as-Code (**Terraform** or equivalent). - Solid experience with **containers and Kubernetes** in production. - Experience building and owning **CI/CD** pipelines (e.g. GitHub Actions, GitLab CI, 

Jenkins, Argo, or similar). 

- Comfort with a scripting/automation language (Python, Go, or Bash) and a strong 

automation-first mindset. - Real experience with **observability** (Prometheus/Grafana, ELK, Datadog, 

OpenTelemetry, or similar) and running incident response / on-call. - A security-conscious approach — secrets, IAM, encryption, and least-privilege as defaults. - Startup temperament: ownership, pragmatism, and a bias to automate and ship. - Based in or willing to relocate to Bangalore, and up for an onsite/hybrid, in-person team. 

Bonus Points - Experience running **ML/AI or GPU workloads** in production (inference serving, batch 

pipelines, model deployment). - Experience with data-intensive infrastructure — streaming/queues (Kafka, SQS), data 

pipelines, or large object/audio storage. - Exposure to **edge devices / IoT fleets**, OTA updates, or high-volume device-to-cloud 

ingestion. - Experience with compliance/security frameworks (SOC 2, ISO 27001, DPDP). - FinOps / cloud cost-optimization experience. - Early-stage startup experience. --- 

Why Join - Own infrastructure that's already live with leading retail brands and growing fast — real 

scale, real impact. - Work across genuinely interesting workloads: speech AI, GPU inference, large-scale data, 

and edge-to-cloud ingestion. - Small team, high ownership, direct line to engineering leadership — your decisions ship. - Build the platform foundation of a category-defining product from an

We are looking for an experienced DevOps Engineer with strong expertise in Linux, CI/CD, containerization, cloud platforms, Infrastructure as Code (IaC), and observability. The ideal candidate should have hands-on experience with Kubernetes, OpenShift, Terraform, scripting, DevSecOps, and modern monitoring practices.

Responsibilities:

• Manage and maintain Linux-based systems, cloud infrastructure, and production environments.
• Develop, maintain, and optimize CI/CD pipelines using Git and related automation tools.
• Deploy and manage containerized applications using Docker, Kubernetes (K8s), and OpenShift.
• Provision and manage cloud infrastructure on AWS and/or Microsoft Azure.
• Automate infrastructure provisioning and configuration using Terraform.
• Develop automation scripts using Python and Shell scripting.
• Implement observability and monitoring solutions using Prometheus, Grafana, AppDynamics, and Splunk.
• Troubleshoot production incidents, perform root cause analysis (RCA), and improve system reliability and availability.
• Implement DevSecOps practices, security controls, and vulnerability management across CI/CD pipelines.
• Manage cloud networking, connectivity, and infrastructure-related configurations.
• Support AIOps initiatives to improve incident detection, analysis, and operational efficiency.
• Manage SSL/TLS certificates, secrets, and secure credential rotation.

Required Skills:

• Strong hands-on experience with Linux.
• Good knowledge of Git and CI/CD pipelines.
• Experience with Docker, Kubernetes (K8s), and/or OpenShift.
• Working experience with AWS and/or Microsoft Azure.
• Hands-on experience with Terraform and Infrastructure as Code (IaC).
• Scripting knowledge in Python and/or Shell.
• Experience with Prometheus, Grafana, AppDynamics, and/or Splunk.
• Knowledge of DevSecOps, networking, and cloud security fundamentals.
• Understanding of AIOps concepts and automated operations.
• Experience with certificate lifecycle management and secrets management.

Job Summary

We are looking for an experienced SRE DevOps Engineer to manage production infrastructure, improve system reliability, automate operational tasks, and support scalable cloud environments. The candidate should have strong experience in Site Reliability Engineering (SRE), DevOps tools, monitoring, incident management, and automation.

Key Responsibilities

• Monitor application and infrastructure performance to ensure high availability and reliability.
• Manage production incidents, troubleshooting, root cause analysis, and resolution.
• Implement and maintain CI/CD pipelines for automated deployments.
• Manage cloud infrastructure on AWS, Azure, or GCP.
• Automate repetitive operational tasks using Python, Shell, or Bash scripting.
• Work with Docker, Kubernetes, and container orchestration technologies.
• Implement monitoring and alerting using tools such as Prometheus, Grafana, Splunk, or Datadog.
• Manage infrastructure as code using Terraform or Ansible.
• Define and monitor SLIs, SLOs, and SLAs.
• Collaborate with development, infrastructure, and support teams to improve system reliability.
• Participate in on-call support and disaster recovery activities.

Mandatory Skills

• Site Reliability Engineering (SRE)
• DevOps and Production Support
• Linux/Unix Administration
• Cloud Platforms: AWS, Azure, or GCP
• CI/CD Tools: Jenkins, GitLab CI, or GitHub Actions
• Scripting: Python, Shell, or Bash
• Docker and Kubernetes
• Monitoring and Observability: Splunk, Grafana, Prometheus, or Datadog
• Incident Management and Root Cause Analysis

Job Summary

We are looking for an experienced SRE / DevOps Engineer with strong expertise in production support, site reliability engineering, cloud infrastructure, automation, and monitoring. The candidate should have experience maintaining highly available systems, troubleshooting production issues, and improving infrastructure reliability and performance.

Mandatory Skills

• Site Reliability Engineering (SRE)
• DevOps Engineering
• Production Support
• Linux Administration
• Cloud Infrastructure (AWS / Azure / GCP)
• Kubernetes and Docker
• CI/CD pipelines
• Monitoring and Observability
• Scripting using Python / Shell
• Incident Management and Root Cause Analysis

Key Responsibilities

• Monitor and maintain the availability, reliability, and performance of applications and infrastructure.
• Handle production incidents, troubleshoot issues, and perform root cause analysis.
• Manage and automate infrastructure deployment and operational tasks.
• Work with CI/CD pipelines and container orchestration platforms.
• Implement monitoring, alerting, and observability solutions.
• Collaborate with development and operations teams to improve system reliability.
• Support cloud infrastructure, Linux environments, and production deployments.
• Identify recurring issues and implement preventive measures to reduce downtime.

Role Overview

We are looking for a DevOps / Platform Engineer with 3–4 years of experience to help manage AWS cloud infrastructure, automation, and AI-ready platform operations. You will work closely with engineering and AI teams to ensure scalable, secure, and reliable deployments.

Key Responsibilities

1. AWS & Infrastructure: Manage core AWS services (EC2, EKS, Lambda, RDS, S3, VPC) using Infrastructure-as-Code (Terraform, CloudFormation, or CDK).
2. AI/ML Workflows: Support infra for AI applications, model serving, vector databases, and GPU-based workloads.
3. CI/CD & Automation: Build and maintain deployment pipelines using GitHub Actions, GitLab CI, or Jenkins.
4. Containers & Kubernetes: Deploy and maintain containerized applications using Docker and Kubernetes (EKS) or ECS.
5. Observability & Incident Support: Maintain dashboards and alerts with CloudWatch, Prometheus, or Grafana, and participate in on-call response.
6. Security & FinOps: Apply AWS security best practices (IAM, encryption, secrets) and assist with cloud cost optimization.

Must-Have Skills & Qualifications

1. 3–4 years of experience in DevOps, SRE, or Cloud Infrastructure Engineering.
2. AWS & Containers: Good working knowledge of core AWS services, Docker, and Kubernetes (EKS).
3. Infrastructure-as-Code: Practical experience with Terraform, CloudFormation, or AWS CDK.
4. Linux & Networking: Solid fundamentals in Linux systems, DNS, routing, and load balancing.
5. Scripting: Hands-on scripting proficiency in Python, Bash, or Go.
6. CI/CD & Observability: Experience building CI/CD pipelines (GitHub Actions, GitLab CI, or Jenkins) and using monitoring tools (CloudWatch, Prometheus, Grafana, or Datadog).

Nice-to-Have Skills

1. Basic exposure to AI/ML infrastructure, model serving, or GPU-based compute.
2. Experience with event-driven messaging systems (Kafka, Redis, or SQS).
3. Familiarity with GitOps tools and Helm (ArgoCD, Flux, or OpenTelemetry).
4. AWS Certifications (Solutions Architect Associate, SysOps Administrator, or DevOps Engineer).

Role Overview

We are looking for a highly skilled Senior DevOps Engineer who can design, implement, and scale modern cloud-native infrastructure while integrating AI-driven automation (AIOps) into development, deployment, and monitoring workflows.

This role requires deep expertise in cloud platforms, Kubernetes, CI/CD, and infrastructure as code, along with the ability to leverage AI tools to improve operational efficiency, incident management, and developer productivity.

Key Responsibilities

DevOps & Infrastructure

• Design, build, and maintain scalable, secure, and highly available cloud infrastructure (primarily AWS).
• Implement and manage containerized environments using Kubernetes (EKS preferred).
• Develop and maintain Infrastructure as Code (IaC) using tools like Terraform.
• Build and optimize CI/CD pipelines using GitHub Actions / Bitbucket Pipelines.
• Ensure high system reliability, uptime, and performance across environments.

AI-Driven DevOps (AIOps)

• Implement AI-powered monitoring and alerting for proactive issue detection and resolution.
• Leverage AI tools for:
• Log analysis and anomaly detection
• Predictive incident management
• Root cause analysis (RCA) acceleration
• Integrate LLM-based assistants (internal or external) to:
• Automate troubleshooting workflows
• Generate deployment scripts / configs
• Improve developer productivity
• Explore and implement self-healing systems using automation + AI insights.

Security & Compliance

• Ensure infrastructure security and compliance with best practices.
• Implement SAST/DAST and vulnerability scanning tools.
• Work with SBOM and CVE tools (e.g., syft, grype).
• Manage IAM policies, secrets, and secure configurations across environments.

Collaboration & Architecture

• Work closely with developers, architects, and product teams to ensure smooth delivery.
• Participate in architecture design and technical decision-making.
• Define and enforce DevOps best practices, standards, and processes.
• Mentor junior engineers and improve team capabilities.

Operations & Incident Management

• Perform root cause analysis (RCA) for production issues.
• Improve observability using tools like Prometheus, Grafana, ELK.
• Ensure fast incident response and resolution using automation and AI insights.

Required Skills & Qualifications

Core Technical Skills

• Strong expertise in AWS Cloud:
• EC2, ECS, EKS, IAM, CloudWatch, CloudTrail
• EventBridge, SQS, SNS, SES, S3, Lambda, API Gateway, WAF
• Deep hands-on experience with Kubernetes (must-have)
• Strong experience in Terraform (IaC) (must-have)
• Experience with CI/CD tools (GitHub Actions / Bitbucket Pipelines)
• Strong knowledge of Linux systems and networking fundamentals
• Programming/scripting experience in Python / Shell / JavaScript

DevOps & Observability

• Experience with monitoring & observability stacks:
• Prometheus, Grafana, ELK
• Experience in serverless architectures
• Knowledge of high-availability and scalable system design

Security

• Experience with:
• SAST / DAST tools
• Vulnerability management
• SBOM tools (syft, grype)

AI / Automation (Mandatory Mindset)

• Experience or strong exposure to:
• AI-assisted DevOps tools (e.g., Copilot, ChatGPT-based workflows)
• Log intelligence and anomaly detection systems
• Ability to identify and implement automation opportunities using AI
• Understanding of AI/ML fundamentals in operations (AIOps) is a strong plus

Soft Skills

• Strong problem-solving and analytical thinking
• Excellent communication and stakeholder management
• Process-oriented with strong documentation practices
• Ability to work in a fast-paced, multi-project environment

Good to Have

• AWS / Kubernetes / Terraform certifications
• Experience in platform engineering or internal developer platforms
• Exposure to multi-cloud environments
• Experience building DevOps frameworks for enterprise clients

What We Expect (Mako Context Fit)

• Ability to handle multiple client environments simultaneously
• Strong ownership mindset for delivery + stability
• Capability to drive DevOps maturity across teams
• Comfortable working in high-pressure, client-facing scenarios

We are looking for an experienced SRE / DevOps Engineer with strong expertise in production support, site reliability engineering, cloud infrastructure, automation, and monitoring. The candidate should have experience maintaining highly available systems, troubleshooting production issues, and improving infrastructure reliability and performance.

Mandatory Skills

• Site Reliability Engineering (SRE)
• DevOps Engineering
• Production Support
• Linux Administration
• Cloud Infrastructure (AWS / Azure / GCP)
• Kubernetes and Docker
• CI/CD pipelines
• Monitoring and Observability
• Scripting using Python / Shell
• Incident Management and Root Cause Analysis