Systems Engineer (L2) at Vikgol · Remote only · 3 - 6 years · ₹8L - ₹15L / yr · Profitable · Remote only · Posted 24 Apr 2026

Job role: Systems Engineer (L2)
Location: Remote/Bengaluru
Experience: 3-6 years
About the Role:
We are looking for a Systems Engineer (L2) to join our growing infrastructure team. You will be responsible for managing, optimizing, and scaling our cloud communication platform that handles billions of messages and voice calls annually.
Key Responsibilities:
— Design, deploy, and maintain scalable cloud infrastructure — AWS/GCP/Azure.
— Manage and optimize networking components — routers, switches, firewalls, load balancers.
— Handle incident response — monitor systems, identify issues, resolve production problems.
— Implement DevOps best practices — CI/CD pipelines, automation, containerization.
— Collaborate with backend and product teams on system architecture.
— Performance tuning — ensure high availability and reliability of platform.
— Security management — implement security protocols and compliance standards.
Required Skills:
Technical:
- Linux/Unix administration — strong fundamentals
- Networking — TCP/IP, DNS, BGP, VoIP protocols
- Cloud platforms — AWS/GCP/Azure — minimum 2 years
- DevOps tools — Docker, Kubernetes, Jenkins, CI/CD
- Monitoring tools — Grafana, Prometheus, Kibana, Datadog
- Scripting — Python, Bash, Shell
- Databases — MySQL, PostgreSQL, Redis
Soft skills:
- Strong problem-solving under pressure
- Good communication — English written and verbal
- Team player — collaborative mindset
Good to Have:
- Experience in telecom/CPaaS/cloud communications industry
- Knowledge of VoIP, SIP, RTP protocols
- AI/ML operations experience
- CCNA/AWS certifications

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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
- AWS & Infrastructure: Manage core AWS services (EC2, EKS, Lambda, RDS, S3, VPC) using Infrastructure-as-Code (Terraform, CloudFormation, or CDK).
- AI/ML Workflows: Support infra for AI applications, model serving, vector databases, and GPU-based workloads.
- CI/CD & Automation: Build and maintain deployment pipelines using GitHub Actions, GitLab CI, or Jenkins.
- Containers & Kubernetes: Deploy and maintain containerized applications using Docker and Kubernetes (EKS) or ECS.
- Observability & Incident Support: Maintain dashboards and alerts with CloudWatch, Prometheus, or Grafana, and participate in on-call response.
- Security & FinOps: Apply AWS security best practices (IAM, encryption, secrets) and assist with cloud cost optimization.
Must-Have Skills & Qualifications
- 3–4 years of experience in DevOps, SRE, or Cloud Infrastructure Engineering.
- AWS & Containers: Good working knowledge of core AWS services, Docker, and Kubernetes (EKS).
- Infrastructure-as-Code: Practical experience with Terraform, CloudFormation, or AWS CDK.
- Linux & Networking: Solid fundamentals in Linux systems, DNS, routing, and load balancing.
- Scripting: Hands-on scripting proficiency in Python, Bash, or Go.
- 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
- Basic exposure to AI/ML infrastructure, model serving, or GPU-based compute.
- Experience with event-driven messaging systems (Kafka, Redis, or SQS).
- Familiarity with GitOps tools and Helm (ArgoCD, Flux, or OpenTelemetry).
- AWS Certifications (Solutions Architect Associate, SysOps Administrator, or DevOps Engineer).
Build production-grade cloud infrastructure that powers enterprise applications with cutting-edge DevOps practices.
What you'll do:
- Design CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI)
- Containerize apps with Docker, deploy on Kubernetes clusters
- Manage infrastructure as code (Terraform, CloudFormation)
- Set up monitoring (Prometheus, Grafana, ELK Stack)
- Cloud migrations (AWS EC2, EKS, RDS → GCP equivalent)
- Optimize costs and performance for live production systems
What we need:
- Basic Python/Bash scripting
- Docker basics, Git workflows
- Cloud exposure (AWS/GCP/Azure free tier projects)
- Problem-solving mindset, eagerness to learn
Real impact:
- Deploy apps used by 1000+ daily users
- Work with senior DevOps engineers on client deliverables
- Build portfolio for FAANG-level interviews
Role Overview
- Role: Senior DevOps / CloudOps Engineer
- Domain: IoT Smart Controls & Building Management Systems (BMS) Platform
- Environment: Scale-Up product ecosystem demanding Startup Agility
Key Responsibilities
- Cloud & Infrastructure Management: Design, provision, and maintain secure, highly available cloud infrastructure (AWS/Azure/GCP) with application of Infrastructure as Code capabilities(Terraform/Ansible)
- IoT & Real-Time Messaging Scalability: Manage high-throughput MQTT broker clusters and WebSocket communication layers to support massive concurrent device telemetry
- CI/CD Pipeline Operations: Build and optimize automated build, test, and deployment pipelines for heterogeneous micro-services spanning Java Spring Boot backends, PHP services, and containerized components.
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- Monitoring & Observability: Implement comprehensive logging, tracing, and metric alerts (Prometheus, Grafana, ELK stack) across cloud components and edge-to-cloud communication paths.
- Cross-Functional Collaboration: Coordinate with firmware teams (C/C++) and mobile/web application teams (React Native, JavaScript, Android, iOS) to ensure smooth continuous integration and API gateway reliability
Required Skills & Qualifications
- Experience: 8+ years of hands-on cloud engineering and DevOps experience in production environments.
- Cloud & IaC: Deep proficiency in cloud platform administration (AWS/Azure) alongside Terraform.
- Networking & Protocols: Solid understanding of TCP/IP, DNS, load balancing, WebSockets, and MQTT broker scaling (e.g., EMQX, HiveMQ, or Mosquitto).
- Containerization Stack: Working knowledge of Docker, Kubernetes, and Helm charts.
- Scripting & Automation: Good scripting fundamentals in Python, Bash
- Tech Stack Familiarity: Operational awareness of Java Spring Boot, PHP, and JavaScript ecosystems to debug deployment bottlenecks and assist engineering teams.
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 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.
AWS / Kubernetes / OpenShift / Linux – Job Description
Role: Cloud / DevOps Engineer
Experience: 4–8 Years
Location: Bangalore
Mandatory Skills: AWS, Kubernetes, OpenShift, Linux
Job Summary
Looking for a Cloud/DevOps Engineer with strong hands-on experience in AWS, Kubernetes, OpenShift, and Linux. The candidate will be responsible for managing cloud infrastructure, container platforms, deployments, monitoring, and troubleshooting.
Key Responsibilities
- Manage and support AWS cloud infrastructure and services.
- Deploy and manage applications using Kubernetes and OpenShift.
- Perform Linux administration, troubleshooting, and issue resolution.
- Monitor application and infrastructure health and resolve production issues.
- Work on containerized applications and deployments.
- Support scaling, configuration, upgrades, and maintenance of Kubernetes/OpenShift environments.
- Troubleshoot cloud, container, and Linux-related issues.
- Collaborate with development and operations teams for deployments and releases.
- Follow security, availability, and operational best practices.
Mandatory Skills
- Strong hands-on experience in AWS
- Good experience with Kubernetes
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- Strong Linux administration and troubleshooting skills
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- Good production troubleshooting and incident management skills
AWS / Kubernetes / OpenShift / Linux –
Location: Bangalore
Experience: 7–10 Years
Mandatory Skills:
- Strong hands-on experience with AWS
- Experience in Kubernetes & OpenShift
- Strong knowledge of Linux administration
- Experience with Docker & containerization
- Knowledge of CI/CD pipelines and DevOps practices
- Troubleshooting, monitoring, and deployment experience
Role: Cloud/DevOps Engineer – AWS, Kubernetes & OpenShift
- 3 years of relevant experience in DevOps, Site Reliability Engineering (SRE), cloud operations, or application production support.
- Strong practical understanding of AWS cloud services, including compute, storage, IAM, networking, security, and monitoring.
- Good Linux administration skills, including system troubleshooting, performance analysis, log investigation, and service management.
- Hands-on experience with GitLab CI/CD, including pipeline configuration, execution, troubleshooting, YAML files, variables, artifacts, and GitLab Runners.
- Mandatory hands-on experience with Infrastructure as Code (IaC), preferably Terraform, including infrastructure provisioning, configuration management, reusable modules, state management, and troubleshooting deployment issues.
- Working knowledge of Git, branching strategies, merge requests, and version control workflows.
- Good understanding of networking fundamentals, including DNS, TCP/IP, ports, routing, load balancers, and AWS security groups.
- Ability to systematically investigate and resolve infrastructure, application, and deployment issues using logs, metrics, monitoring tools, and dependency analysis.
- Working knowledge of Python or Shell scripting for operational automation and troubleshooting.
- Strong problem-solving skills, communication, collaboration, willingness to learn, and ownership of incidents through resolution.
Preferred Skills and Experience
- Basic SQL knowledge for application and database-related operational investigations.
- Experience with AWS monitoring and logging services, particularly Amazon CloudWatch.
- Familiarity with incident, problem, and change management processes in production environments.
- Exposure to operational automation, proactive monitoring, alert optimization, and root cause analysis (RCA).
- Understanding of cloud infrastructure best practices, including security, reliability, availability, and cost optimization.
- Experience supporting containerized applications using Docker, Kubernetes, or Amazon EKS would be an advantage.
Job Summary
We are looking for a skilled DevOps Engineer with hands-on experience in Terraform, Google Cloud Platform (GCP), infrastructure setup, and product installation. The candidate will be responsible for provisioning cloud infrastructure, configuring environments, installing software products, and ensuring smooth deployment and operation of applications.
Key Responsibilities
- Set up, configure, and manage cloud infrastructure on GCP.
- Use Terraform for Infrastructure as Code (IaC) and automated infrastructure provisioning.
- Perform software product installation, configuration, and upgrades.
- Manage infrastructure environments and resolve installation and configuration issues.
- Monitor infrastructure performance, availability, and reliability.
- Collaborate with development and operations teams to support deployments.
- Follow security, backup, and infrastructure management best practices.
- Troubleshoot technical issues related to infrastructure and product installations.
Required Skills
- Hands-on experience with Terraform.
- Working knowledge of Google Cloud Platform (GCP).
- Experience in infrastructure setup and provisioning.
- Experience in software product/application installation and configuration.
- Knowledge of Linux/Unix operating systems.
- Understanding of networking, cloud security, and troubleshooting.
- Good problem-solving and communication skills.
Job Description
The engineer will provide direct support to service development teams using the platform and maintain/develop platform components across CI pipelines, tool integrations, deployment architecture, monitoring, documentation, and self-service initiatives.
Responsibilities
- Support onboarding and technical discussions with development teams.
- Provide technical guidance and documentation.
- Support development engineers on CI/CD pipelines, deployments, logging and monitoring.
- Improve platform code, processes and documentation.
- Provide production infrastructure/operations support, including on-call support.
- Research product requirements and new technology rollouts.
Core Mandatory Skills
Kubernetes / Amazon EKS, Terraform, Terragrunt, AWS Cloud, Docker, CI/CD Pipelines, GitOps, Python / Go / Java, Cloud Operations / DevOps, Logging / Monitoring / Tracing, Incident Management











