DevOps Engineer at A B2B healthcare-specific technology platform · Bengaluru (Bangalore) · 5 - 9 years · Upto ₹25L / yr · Posted 26 Oct 2026
Amazon Web Services (AWS)
Kubernetes
DockerAbout the company:
We empower US healthcare payers with a truly next-generation, cloud-native, holistic, and customizable platform designed to prevent and adapt to the ever-evolving inaccuracies in healthcare claims and payments. By reducing complexity and administrative costs, we offer a unified, healthcare-dedicated platform backed by top VCs like BeeNext, 3One4 Capital, and Saison Capital.
Position Overview:
We are looking for an experienced DevOps Engineer to join our team in Bengaluru. In this role, you will be responsible for building, optimizing, and maintaining scalable, secure, and highly available multi-cloud infrastructure that supports our engineering teams. The ideal candidate brings strong hands-on experience with Kubernetes, Infrastructure as Code (Terraform), and robust monitoring/observability stacks to enable seamless, reliable, and automated deployments.
Key Responsibilities:
- Container Orchestration: Deploy, scale, and manage containerized workloads on Kubernetes (EKS, AKS, and GKE).
- Infrastructure as Code (IaC): Build and maintain modular, reusable, and version-controlled infrastructure using Terraform across AWS, Azure, and GCP.
- Monitoring & Observability: Set up, manage, and optimize monitoring, logging, and alerting stacks (e.g., Prometheus, Grafana, ELK/EFK, Loki, Datadog).
- CI/CD Pipeline Management: Own, improve, and automate CI/CD pipelines to enable fast, reliable, and frictionless software releases.
- System Reliability & SRE Practices: Implement best practices for system reliability, including defining SLIs/SLOs, managing incident response, and participating in on-call support.
- Troubleshooting & Support: Diagnose and resolve complex production issues across infrastructure, networking, and application layers.
- Security & Compliance: Implement infrastructure security best practices, including IAM policies, secrets management, and network security.
- Automation: Eliminate repetitive operational tasks by writing clean, efficient scripts in Python, Bash, or Go.
- Operations & Planning: Participate in capacity planning, cost optimization, disaster recovery, and infrastructure scaling initiatives while maintaining clear documentation and runbooks.
Requirements :
- Solid working experience with cloud providers, specifically AWS, Azure, or GCP.
- Strong understanding of containerization (Docker) and container orchestration concepts.
- Familiarity with Linux system administration and networking fundamentals.
- Experience with version control systems (Git) and GitOps workflows (ArgoCD/Flux is a plus).
- Strong problem-solving skills and the ability to thrive in a fast-paced, collaborative environment.
Qualifications :
Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related technical field (or equivalent practical experience)
Key Skills:
- The ideal candidate must possess deep expertise in container orchestration, specifically hands-on experience managing Kubernetes ecosystems—including Helm charts, cluster networking, and RBAC policies—alongside a foundational mastery of Docker containerization.
- Proficiency in managing cloud architecture as software is essential, with a heavy emphasis on Terraform execution, including advanced module creation, state management, and multi-environment workspaces.
- A strong capability to implement full-stack visibility is required, utilizing tools like Prometheus, the Grafana LGMT stack, ELK/EFK, or Loki to build highly optimized monitoring, alerting, and logging systems.
- Candidates should have a proven track record of constructing and scaling automated deployment pipelines using industry-standard platforms such as Jenkins, GitLab CI, GitHub Actions, or Azure DevOps to minimize release friction. .
- Strong core programming fundamentals are required to automate repetitive infrastructure tasks, with practical proficiency in Python, Bash, or Go.
- Familiarity with cutting-edge cloud-native technologies is highly desirable, including enterprise service meshes (Istio, Linkerd), comprehensive cloud security frameworks (HashiCorp Vault, OPA, Trivy), and a data-driven approach to cloud cost management and FinOps practices.
Work Location: Jayanagar - Bangalore.
Work Mode: Work from Office, hybrid- 3 days WFO
Note: We are looking for immediate joiners & Bangalore Candidates only
Benefits:
- Best-in-class compensation
- Health insurance for Family
- Personal Accident Insurance
- Friendly and Flexible Leave Policy
- Certification and Course Reimbursement
- Medical Coding CEUs and Membership Renewals
- Health checkup
- And many more!
Shubham Vishwakarma
Full Stack Developer - Averlon
Similar jobs (10)
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.
KubernetesJob 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.
Amazon Web Services (AWS)KubernetesJob Summary :
We are looking for a proactive and skilled DevOps Engineer to join our team and play a key role in building, managing, and scaling infrastructure for high-performance systems. The ideal candidate will have hands-on experience with Kubernetes, Docker, Python scripting, cloud platforms, and DevOps practices around CI/CD, monitoring, and incident response.
Key Responsibilities :
- Design, build, and maintain scalable, reliable, and secure infrastructure on cloud platforms such as AWS.
- Implement Infrastructure as Code (IaC) using tools like Terraform, Cloud Formation, or similar.
- Manage Kubernetes clusters, configure namespaces, services, deployments, and auto scaling. CI/CD & Release Management
- Build and optimize CI/CD pipelines for automated testing, building, and deployment of services.
- Collaborate with developers to ensure smooth and frequent deployments to production.
- Manage versioning and rollback strategies for critical deployments.
- Containerization & Orchestration using Kubernetes.
- Containerize applications using Docker, and manage them using Kubernetes.
- Write automation scripts using Python or Shell for infrastructure tasks, monitoring, and deployment flows.
- Develop utilities and tools to enhance operational efficiency and reliability.
- Monitoring & Incident Management
- Analyze system performance and implement infrastructure scaling strategies based on load and usage trends.
- Optimize application and system performance through proactive monitoring and configuration tuning.
Desired Skills and Experience :
- Experience Required - 6+ yrs.
- Hands-on experience on cloud services like AWS, EKS etc.
- Ability to design a good cloud solution.
- Strong Linux troubleshooting, Shell Scripting, Kubernetes, Docker, Ansible, Jenkins Skills.
- Design and implement the CI/CD pipeline following the best industry practices using open-source tools.
- Use knowledge and research to constantly modernize our applications and infrastructure stacks.
- Be a team player and strong problem-solver to work with a diverse team.
- Having good communication skills.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Amazon Web Services (AWS)DockerKubernetesJob Title : DevOps Engineer / Site Reliability Engineer (SRE)
Experience : 4+ Years
Location : Gurugram, Sector 48, Haryana (On-site)
Employment Type : Full-Time
Working Days : Monday to Saturday (1st & 3rd Saturday Off)
About the Role :
We are looking for a hands-on DevOps Engineer / Site Reliability Engineer (SRE) with strong experience in Linux, AWS, Kubernetes, Docker, CI/CD, Infrastructure as Code, and production application deployments.
The ideal candidate should have real-world production experience, excellent troubleshooting skills, and the ability to manage both infrastructure and application-level issues.
Mandatory Skills :
Linux, AWS, Docker, Kubernetes, Terraform, Ansible, Jenkins, GitHub Actions, GitLab CI/CD, CI/CD, Infrastructure as Code (IaC), Python, Bash, Git, Grafana, Prometheus, ELK, CloudWatch, New Relic, SRE (SLI/SLO/SLA), Networking (DNS, HTTP/HTTPS, TCP/IP, Load Balancer), Production Application Deployment & Troubleshooting
Key Responsibilities :
- Manage and maintain AWS cloud infrastructure.
- Build and optimize CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI.
- Deploy, monitor, and troubleshoot applications across production environments.
- Automate infrastructure using Terraform and Ansible.
- Manage Docker containers and Kubernetes clusters.
- Monitor systems using Grafana, Prometheus, ELK, CloudWatch, and New Relic.
- Perform Linux server administration and troubleshooting.
- Handle production incidents, Root Cause Analysis (RCA), and improve system reliability.
- Collaborate with development teams to support application releases and automation.
Required Qualifications :
- Bachelor's degree in Computer Science or related field.
- 4+ years of hands-on experience in DevOps / SRE.
- Strong Linux administration and production troubleshooting skills.
- Experience with AWS and modern DevOps toolchains.
- Hands-on experience with application deployment and production support.
What We're Looking For :
- Strong practical Linux and cloud knowledge.
- Real production experience with application deployments.
- Ability to troubleshoot both infrastructure and application issues.
- Experience handling live production incidents.
- Excellent communication and problem-solving skills.
- Candidates should be comfortable with scenario-based technical discussions and demonstrate genuine hands-on expertise.
Interview Process :
- HR Screening
- Technical Round
- Client Technical Round
- Final Discussion
Note : The interview will focus on practical hands-on experience in Linux, AWS, Kubernetes, Docker, CI/CD, Infrastructure as Code, application deployment, production troubleshooting, and real-world DevOps scenarios.
DockerKubernetesKey Responsibilities
- Automate application deployments from Bitbucket to servers using CI/CD pipelines.
- Design and manage scalable, highly available AWS infrastructure.
- Implement Auto Scaling, ELB, and Route 53 for traffic management and high availability.
- Work with AWS services including IAM, RDS, DynamoDB, EC2, and other cloud services.
- Build and manage Docker containers and server images.
- Deploy and manage applications using Kubernetes.
- Implement Infrastructure as Code using Terraform, CloudFormation, or Ansible.
- Develop automation scripts using Python and Bash.
- Implement monitoring and logging using tools such as Prometheus, Grafana, and ELK.
- Integrate security and compliance practices into CI/CD pipelines.
- Optimize infrastructure for security, scalability, performance, and cost.
Required Skills
- 3+ years of experience in DevOps or a similar role.
- Strong knowledge of AWS beyond EC2.
- Hands-on experience with Jenkins or similar CI/CD tools.
- Experience with Docker and Kubernetes.
- Good understanding of Terraform/IaC and automation.
- Proficiency in Python and/or Bash scripting.
- Knowledge of DevSecOps, security, and compliance best practices.
- Strong troubleshooting and problem-solving skills.
Amazon Web Services (AWS)
JenkinsAs 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
Amazon Web Services (AWS)KubernetesDockerRole 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).
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Amazon Web Services (AWS)DockerKubernetes🚀 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.
Amazon Web Services (AWS)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.
Amazon Web Services (AWS)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
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon