DevOps Engineer at building video-calling as a service · Remote only · 3 - 5 years · ₹30L - ₹40L / yr · Remote only · Posted 13 Jun 2022

Experience - 2+ Years
Requirements:
● Should have at least 2+ years of DevOps experience
● Should have experience with Kubernetes
● Should have experience with Terraform/Helm
● Should have experience in building scalable server-side systems
● Should have experience in cloud infrastructure and designing databases
● Having experience with NodeJS/TypeScript/AWS is a bonus
● Having experience with WebRTC is a bonus

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About the Role
The non-negotiable is deep, hands-on infrastructure expertise spanning hybrid cloud and self-hosted systems. You will architect and maintain our unique infrastructure combining AWS CDN, bare metal servers, and Kubernetes clusters. This is not just maintenance work: you will establish company-wide DevOps policy, build security-hardened environments, and create the documentation and processes that scale with us. You will design our CI/CD pipelines, implement zero-trust networking, and guide the technical team on how to keep our production systems robustly online. This role is hands-on, autonomous, and sets the standard for how we approach infrastructure as the company grows.
What You'll Build
- Hybrid Infrastructure Management: Architect and maintain our unique infrastructure spanning AWS CDN, bare metal servers, and Kubernetes clusters for computationally intensive facial analysis workloads.
- CI/CD Pipeline Architecture: Design and implement CircleCI or Jenkins pipelines with comprehensive build testing, versioning, and change logging.
- Zero-Trust Networking: Build and maintain mesh topology networks using Tailscale or Wireguard to securely connect our hybrid infrastructure.
- Security-First Culture: Establish and enforce security policies including key rotation, access controls, compliance frameworks, and employee security management.
- Infrastructure as Code: Document and codify all infrastructure decisions, creating repeatable, auditable deployments.
- Containerization Strategy: Implement and optimize Docker/K8s deployments for our AI/ML workloads.
- Cost Optimization: Continue our approach of strategic compute placement using owned, rented or borrowed infrastructure where it makes financial sense without sacrificing security or reliability.
- Observability & Monitoring: Implement comprehensive logging, monitoring, and alerting across our distributed systems.
What We're Looking For
- 5+ years of DevOps or infrastructure engineering experience, with a track record of building from scratch
- Hybrid infrastructure expertise: experience managing both cloud (AWS) and self-hosted infrastructure, understanding the tradeoffs and security risks of each
- Kubernetes production experience: deep knowledge of cluster design, operations, and scaling
- Networking mastery: strong understanding of VPCs, mesh networks, VPNs, and zero-trust architectures
- Security-first mindset: experience with security compliance, key management, IAM policies, and hardening production systems
- CI/CD expertise: hands-on experience building robust pipelines for build testing before deployment
- Infrastructure as Code: proficiency with Terraform, Ansible, or similar tools
- Scripting and automation: strong Python, Bash, or Go skills for tooling and automation
- Policy and documentation: ability to establish best practices and document them clearly for team adoption
- Leadership mentality: comfortable setting standards and directing technical decisions, not just executing them
Nice to Have
- Experience architecting infrastructure for AI/ML workloads
- Background in a fast-moving startup or scale-up environment
- H ands-on experience with cost optimization across cloud and on-premises infrastructure
Why Join
- Opportunity to solve real healthcare problems with cutting-edge technology
- Well-funded startup with a strong market presence
- Work with advanced AI technology in a healthcare context
- Collaborate with a talented team in a fast-paced environment
- Competitive salary with equity options
- Performance and quarterly bonuses
- Professional development opportunities
Compensation and Logistics
- Remote, full-time
- Reports to: Head of Engineering
- Competitive based on experience
Strong Hands-On DevOps Engineer Profile with deep Kubernetes and multi-cloud experience
2
Mandatory (Experience 1): Must have 6+ years of hands-on DevOps experience, deploying, operating, troubleshooting, and scaling enterprise SaaS environments.
3
Mandatory (Experience 2): Must be able to own end-to-end customer deployments across cloud and enterprise environments (the role covers cloud, BYOC, air-gapped, and data-center deployments).
4
Mandatory (Tech skill 1): Must have strong hands-on Kubernetes experience — troubleshooting, networking, workloads, storage, RBAC, and security
5
Mandatory (Tech skill 2): Must have hands-on Helm experience — deployment, templating, and troubleshooting.
6
Mandatory (Tech skill 3): Must have hands-on Terraform experience — infrastructure provisioning and automation
7
Mandatory (Tech skill 4): Must have strong Linux and cloud infrastructure troubleshooting skills
8
Mandatory (Tech skill 5): Must have hands-on experience with observability — metrics, logs, traces, and alerting
9
Mandatory (Tech skill 6): Must have hands-on experience with one or more of AWS / GCP / Azure / OCI
10
Mandatory (Tech skill 7): Must have a strong incident-management and production-troubleshooting mindset, with a "fix first, optimize later" approach to customer escalations.
11
Mandatory (Company): B2B SaaS product companies
12
Preferred (Enterprise deployments): Prior experience with BYOC, air-gapped, or restricted-network environments.
13
Preferred (Observability tools): Prometheus / Grafana / OpenTelemetry / ELK / OpenSearch / Datadog
14
Preferred (Other): GitOps / CI-CD; Python or Golang for automation; multi-tenant SaaS infrastructure scaling; exposure to AI/ML pipeline deployments or iPaaS / reverse ETL connectors; SRE concepts (SLIs/SLOs, DR, high availability
Job Summary:
We are looking for an experienced Cloud / DevOps Engineer with strong hands-on experience in AWS, Kubernetes, OpenShift, and Linux. The candidate will be responsible for managing cloud infrastructure, containerized applications, deployments, and production environments.
Roles & Responsibilities:
- Design, deploy, and manage cloud infrastructure on AWS.
- Manage and administer Kubernetes and OpenShift environments.
- Deploy, configure, and troubleshoot containerized applications.
- Perform Linux administration, troubleshooting, and system monitoring.
- Monitor application and infrastructure performance and resolve production issues.
- Automate deployment and operational activities wherever possible.
- Work with development and operations teams to support application deployments.
- Ensure system availability, reliability, and security.
- Troubleshoot issues related to Kubernetes clusters, containers, networking, and Linux systems.
- Follow DevOps best practices for CI/CD, infrastructure management, and automation.
Required Skills:
- 7–10 years of relevant experience in Cloud/DevOps.
- Strong hands-on experience with AWS.
- Good knowledge of Kubernetes and OpenShift.
- Strong Linux administration and troubleshooting skills.
- Experience in containerization and deployment of applications.
- Good understanding of cloud infrastructure and production support.
Roles & Responsibilities
- Own end-to-end customer deployments across cloud, BYOC, air-gapped, and data-center environments
- Deploy and operate production environments using Kubernetes, Helm, and Terraform
- Troubleshoot complex Kubernetes, networking, infrastructure, application, and deployment issues
- Build and maintain observability, monitoring, alerting, and reliability
- Handle customer escalations and drive issues to resolution with a "fix first, optimize later" mindset
- Automate deployment and operational workflows
- Work closely with Engineering, Product, and Customer teams to resolve production challenges
- Participate in on-call and shift rotations, including critical customer escalations outside standard working hours
Ideal Candidate
1.Strong Hands-On DevOps Engineer Profile with deep Kubernetes and multi-cloud experience
2.Mandatory (Experience 1): Must have 6+ years of hands-on DevOps experience, deploying, operating, troubleshooting, and scaling enterprise SaaS environments.
3.Mandatory (Experience 2): Must be able to own end-to-end customer deployments across cloud and enterprise environments (the role covers cloud, BYOC, air-gapped, and data-center deployments).
4.Mandatory (Tech skill 1): Must have strong hands-on Kubernetes experience — troubleshooting, networking, workloads, storage, RBAC, and security
5.Mandatory (Tech skill 2): Must have hands-on Helm experience — deployment, templating, and troubleshooting.
6.Mandatory (Tech skill 3): Must have hands-on Terraform experience — infrastructure provisioning and automation
7.Mandatory (Tech skill 4): Must have strong Linux and cloud infrastructure troubleshooting skills
8.Mandatory (Tech skill 5): Must have hands-on experience with observability — metrics, logs, traces, and alerting
9.Mandatory (Tech skill 6): Must have hands-on experience with one or more of AWS / GCP / Azure / OCI
10.Mandatory (Tech skill 7): Must have a strong incident-management and production-troubleshooting mindset, with a "fix first, optimize later" approach to customer escalations.
11.Mandatory (Company): B2B SaaS product companies
12.Preferred (Enterprise deployments): Prior experience with BYOC, air-gapped, or restricted-network environments.
13.Preferred (Observability tools): Prometheus / Grafana / OpenTelemetry / ELK / OpenSearch / Datadog
14.Preferred (Other): GitOps / CI-CD; Python or Golang for automation; multi-tenant SaaS infrastructure scaling; exposure to AI/ML pipeline deployments or iPaaS / reverse ETL connectors; SRE concepts (SLIs/SLOs, DR, high availability).
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
Devops + Python
Mandatory: Python+Kubernetes Containerisation+ DevOps Exposure+ Cloud Exposure(any)
4-8 years /16 LPA
10+ years /26 LPA
Bangalore/Hyderabad
immediate to 15 days.
Job Role: Software Engineer – Backend & Cloud Infrastructure
Company: Appmaker by StarApps
Location: Kochi, Kerala (On-Site)
Experience: 3–6 Years
Employment Type: Full-time
About Appmaker by StarApps
At StarApps, we build high-scale tools like Appmaker(https://appmaker.xyz/) that empower thousands of global e-commerce merchants to turn their web stores into native mobile apps. We focus on low latency, cutting-edge serverless architectures, and building scalable software that handles millions of requests every day.
About the Role
We are looking for a Mid-Senior Backend & Cloud Infrastructure Engineer to join our core team on-site in Kochi. In this role, you will design, scale, and maintain high-throughput backend services and cloud infrastructure capable of supporting large user bases and handling millions of daily requests.
If you thrive in solving complex distributed system design challenges, optimizing cloud infrastructure, and taking ownership of core platform scaling, this role is for you!
Key Responsibilities
- Distributed Backend Systems: Architect, construct, and optimize core backend microservices and serverless applications built on Node.js and TypeScript.
- Cloud Infrastructure & DevOps: Manage, automate, and expand infrastructure across cloud platforms (AWS, GCP, or Azure) using IaC (Terraform, Ansible) and container technologies (Docker, Kubernetes).
- System Scalability & Performance: Design for high availability, implementing caching, load balancing, message queues, and database optimizations.
- Reliability & Observability: Troubleshoot complex production incidents, optimize system latency, enforce security standards, and maintain CI/CD and automated monitoring pipelines.
- Architecture Ownership: Own critical features and system components independently while collaborating on high-level architecture decisions.
What We’re Looking For
- Experience: 3–6 years of hands-on software development experience with a focus on backend software architecture, systems engineering, and infrastructure.
- Tech Stack: Strong mastery of Node.js, JavaScript, and TypeScript.
- Cloud & DevOps: Hands-on experience with Docker, Kubernetes, Terraform, Ansible, and major Cloud Providers (AWS, GCP, or Azure).
- Edge & Serverless: Deep understanding of serverless deployment models (Cloudflare Workers/D1, AWS Lambda, or equivalent).
- System Design & Databases: Advanced knowledge of system design, load balancing, caching strategies, asynchronous message queues, relational database optimization, and high-availability architecture.
- Engineering Standards: Strong experience with production CI/CD, observability tools, automated testing, and production troubleshooting.
Bonus Points
- Hands-on experience with the extended Cloudflare suite (KV, R2, Queues, Workers).
- Prior experience in SaaS product engineering, Shopify app ecosystems, or high-traffic global e-commerce platforms.
Why Join Us?
- High Scale & Impact: Build software used by thousands of global brands and millions of end consumers.
- Modern Tech Stack: Work with cutting-edge serverless architectures and infrastructure automation platforms.
- Growth & Culture: Great engineering culture, high ownership, competitive growth, and direct technical leadership opportunities in our Kochi office.
🚀 Job Title : DevOps Engineer / Site Reliability Engineer (SRE)
Experience Level : 4+ Years
Location : Gurugram Sector 48, Haryana (On-site)
Employment Type : Full Time Opportunity
About the Role :
We are looking for a proactive DevOps / Site Reliability Engineer (SRE) with around 4 years of hands-on experience designing, automating, and scaling cloud infrastructure and CI/CD delivery pipelines.
In this role, you will bridge the gap between development and operations. You will be responsible for orchestrating containerized applications, automating infrastructure via Code (IaC), establishing SRE best practices (SLIs, SLOs, SLAs), and ensuring maximum uptime, resiliency, and operational efficiency across multi-cloud environments (AWS/Azure/GCP).
Mandatory Skills :
AWS, Kubernetes, Docker, Terraform, Ansible, Jenkins, GitLab CI/CD, GitHub Actions, Python, Bash, CI/CD, Infrastructure as Code (IaC), Grafana, Prometheus, ELK, New Relic, CloudWatch, SRE, SLI/SLO/SLA, Linux
Key Responsibilities :
1. Cloud Infrastructure & Infrastructure as Code (IaC) :
- Provision, configure, and maintain scalable, high-availability infrastructure on multi-cloud platforms, primarily AWS (EC2, VPC, IAM, S3, RDS, Route53, ALB/ASG, Lambda, EBS).
- Build, deploy, and manage Infrastructure as Code (IaC) using Terraform, Ansible, and CloudFormation to enforce consistency and eliminate configuration drift.
- Execute disaster recovery (DR) planning, automated failover / failback mechanisms, and chaos engineering exercises to validate system resiliency.
2. CI/CD, Automation & Development :
- Design, end-to-end maintain, and optimize robust CI/CD pipelines using Jenkins, GitLab CI, and GitHub Actions.
- Automate release pipelines, versioning, branching strategies, and approval gates using Groovy, Python, and Bash scripting. Integrate automated code quality and security scanning tools (SonarQube, Black Duck, or Fortify) directly into delivery pipelines.
- Develop custom tools, scripts, or microservices (e.g., Python / Node.js) to automate manual operational tasks and operational toil.
3. Containerization & Orchestration :
- Onboard and orchestrate containerized microservices utilizing Docker and Kubernetes (including Helm charts).
- Ensure high availability, auto-scaling, resource management, and fault tolerance for Kubernetes pod deployments.
4. Observability, SRE & Incident Management :
- Drive Site Reliability Engineering (SRE) maturity by establishing, tracking, and reporting SLIs, SLOs, and SLAs with cross-functional engineering teams.
- Build, configure, and manage full-stack observability tools : Grafana, Prometheus, New Relic, Elasticsearch / Logstash / Kibana (ELK), Sentry, and AWS CloudWatch.
- Set up real-time alerting, custom metric dashboards, and automated log rotation / pruning scripts.
- Handle production incidents, lead Root Cause Analysis (RCA) investigations, and implement preventive measures to reduce Mean Time to Resolution (MTTR).
Required Qualifications & Skills :
- Education : Bachelor’s Degree in Electronics and Communication Engineering, Computer Science, or a related technical field.
- Experience : ~4 years of experience in DevOps, SRE, or Cloud System Administration roles.
- Cloud & Infrastructure : Hands-on experience with AWS (Core services like EC2, S3, VPC, RDS, IAM, Lambda, Auto Scaling) and exposure to Azure / GCP.
- CI/CD & Version Control : Proficiency with Jenkins, GitLab CI, GitHub Actions, and Git workflows.
- Containerization : Core proficiency in Docker and Kubernetes cluster management / onboarding.
- Infrastructure as Code : Expertise in Ansible, Terraform, or AWS CloudFormation.
- Scripting & Languages : Strong hands-on automation skills with Python, Bash, and foundational knowledge of Node.js, Java or C++.
- Observability & Logging : Strong experience with Grafana, Prometheus, New Relic, ELK stack, or Splunk.
- Database & SQL : Familiarity with relational databases (MySQL, RDS) for monitoring setup and operational analytics.
Location: Bangalore preferred / Hybrid as applicable
Experience: 3+ years
Education: B.E/B.Tech in Computer Science, Engineering or a related technical discipline
Salary: Above market standards, flexible for the right candidate
Career growth: Long-term opportunity with potential to lead DevOps architecture and cloud platform operations
About FrontM
FrontM builds software platforms for frontline workforces operating in remote and low-connectivity environments, with a strong focus on the maritime industry. The platform supports communication, collaboration, healthcare, learning, welfare and operational workflows across mobile, web, kiosk and connected device environments.
The platform runs across cloud infrastructure, constrained networks and specialised customer environments, requiring reliable DevOps practices, strong observability, secure architecture and careful operational discipline.
Role Summary
As a Senior DevOps Engineer, you will take ownership of FrontM’s AWS cloud infrastructure, CI/CD pipelines, platform reliability and technical operations. You will work closely with the VP of Delivery, CTO and CEO to maintain secure, scalable and high-availability infrastructure for FrontM’s production systems.
This role requires strong hands-on DevOps experience, broad AWS knowledge, Kubernetes experience and the ability to troubleshoot complex networking and production issues across multi-domain SaaS environments.
Key Responsibilities
Cloud Infrastructure & DevOps Architecture (≈45%)
· Own, maintain and improve AWS cloud infrastructure for FrontM platforms
· Create and maintain Terraform scripts for infrastructure deployment and management
· Manage Kubernetes workloads deployed within AWS EKS
· Support multi-zone AWS infrastructure design for availability, resilience and scale
· Maintain AWS services including Route 53, EC2, API Gateway, VPC, VPN, AWS Cognito, ElastiCache, DynamoDB and Lambda
· Contribute to DevOps architecture planning in line with FrontM’s platform roadmap
CI/CD, Operations & Platform Reliability (≈35%)
· Build, maintain and improve CI/CD pipelines for backend and platform services
· Oversee technical operations with hands-on administration, monitoring and release support
· Ensure continuous server uptime, stability, performance and maintainability
· Debug, respond to and restore system outages in production and staging environments
· Improve observability across infrastructure and applications, including migration from Elastic stack to logz.io
· Support backend stability, scale and performance across Node.js, Java and related services
Security, Networking & Production Support (≈20%)
· Maintain AWS security configurations, access controls and monitoring practices
· Support complex networking requirements across multi-domain SaaS implementations
· Troubleshoot network, infrastructure and access issues with internal teams and customer-side users
· Work with backend teams to support API integrations and infrastructure abstractions for complex requirements
· Document operational procedures, incident findings and technical support steps clearly
Required Technical Skills
Cloud Infrastructure & AWS
· Strong hands-on experience with AWS infrastructure and cloud operations
· Experience with Route 53, EC2, API Gateway, VPC, VPN, AWS Cognito, ElastiCache, DynamoDB and Lambda
· Experience with AWS security setup, monitoring and multi-zone infrastructure
· Ability to manage infrastructure using Terraform
Kubernetes, CI/CD & Observability
· Strong experience with Kubernetes, preferably AWS EKS
· Extensive CI/CD and DevOps experience
· Experience with infrastructure observability and application monitoring tools
· Ability to diagnose production bottlenecks, server failures and performance issues
Backend, Networking & SaaS Operations
· Experience supporting Node.js, Java and backend system procedures for stability and scale
· Good understanding of APIs, integrations and backend service dependencies
· Experience with complex networking and multi-domain SaaS implementations
· Ability to troubleshoot technical issues with non-technical end users
Nice to Have
· Experience with MongoDB clusters in MongoDB Atlas
Personal Attributes
· Strong ownership mindset for uptime, reliability and production stability
· Practical problem-solving approach with the ability to act quickly during incidents
· Clear written and spoken communication in English
· Ability to work independently and coordinate with senior management when required
· Comfortable working in fast-moving engineering teams
· Attention to detail in security, monitoring, documentation and operational processes
Why join FrontM?
Long-Term Career Growth
Opportunity to work on cloud infrastructure used by global maritime and remote workforce customers, with scope to grow into DevOps architecture and platform leadership roles.
Engineering Challenges That Matter
Work on infrastructure that supports applications used in remote, low-bandwidth and operationally demanding environments.
Broad Technical Ownership
Take responsibility across cloud infrastructure, Kubernetes, CI/CD, observability, networking, security and production reliability.
Apply now
Join a team focused on building reliable software infrastructure for real-world use cases and contribute to systems used across the global maritime workforce.
Job Description:
Pre-requisite skills required for a DevOps Engineer role include:
- 6+yrs exp in DevOps
- Experience working on Linux based infrastructure
- knowledge in AWS, docker, CI/CD tools
- Hands on exp in Python/shell scripting language
- hands on exp in AWS and Azure
- Work exp in Docker, Terraform, Ansible, Kubernetes, LINUX
- Excellent understanding of Ruby, Python, Perl, and Java
- Configuration and managing databases such as MySQL, Mongo
- Excellent troubleshooting
- Working knowledge of various tools, open-source technologies, and cloud services














