DevOps Lead at Techjays · Remote, Coimbatore · 4 - 12 years · Profitable · Remote friendly · Posted 6 Nov 2026
Amazon Web Services (AWS)
GitTECHJAYS
THE AI REIMAGINATION COMPANY
Position DevOps Lead
Experience 10+ Years
Location Coimbatore / Hybrid
Joining Immediate / ASAP
Primary SkillsDevOps, AWS or Azure, CI/CD, Kubernetes, Docker, Terraform, Linux, Git, Cloud Infrastructure, Infrastructure Automation, Monitoring & Observability
Preferred SkillsAI/ML Infrastructure Exposure, GenAI Applications, GitOps, Argo CD, Prometheus, Grafana, Python, Bash, PowerShell, Cloud Security, FinOps
About Techjays
At Techjays, we're helping businesses reimagine how they build, operate, and scale with AI at the core. We focus on developing secure, scalable, production-grade AI systems that solve complex business challenges and deliver measurable business outcomes.
Our team brings together experienced engineers and technology leaders from organizations such as Google, NetApp, ADP, Cognizant Consulting, and Capgemini. We work with global clients to build advanced AI-powered applications, enterprise platforms, and intelligent automation solutions.
We're looking for a DevOps Lead who can take ownership of cloud infrastructure, deployment automation, CI/CD pipelines, platform reliability, and engineering operations.
The ideal candidate will have deep hands-on expertise in either AWS or Azure, along with strong experience in Kubernetes, containerization, Infrastructure as Code, and production cloud environments.
You will lead the design and implementation of reliable infrastructure platforms, establish DevOps best practices, and work closely with software engineering and AI teams to support the deployment and operation of modern applications.
This role requires a strong hands-on cloud and DevOps specialist who can architect, implement, troubleshoot, and optimize production infrastructure. Prior exposure to AI/ML or AI-enabled applications is required, but specialized MLOps expertise is not mandatory.
Key Responsibilities
1. Cloud Infrastructure & Architecture
- Lead the design, implementation, and management of scalable, secure, and highly available cloud infrastructure.
- Own cloud infrastructure architecture and operations across AWS or Azure.
- Design and manage cloud environments covering compute, networking, storage, databases, and container platforms.
- Establish infrastructure standards, architecture patterns, and operational best practices.
- Manage cloud resource provisioning, configuration, scaling, and environment management.
- Ensure infrastructure meets requirements for availability, performance, security, and reliability.
- Drive infrastructure improvements through automation and continuous optimization.
2. DevOps & CI/CD Engineering
- Design, implement, and maintain CI/CD pipelines for application development and deployment.
- Manage multi-stage deployment workflows across development, testing, staging, and production environments.
- Implement automated build, testing, deployment, and release processes.
- Establish reusable pipeline templates, deployment standards, and approval workflows.
- Manage deployment strategies, including rolling, blue/green, and canary deployments.
- Implement rollback mechanisms and ensure reliable production releases.
- Integrate CI/CD workflows with source control, artifact repositories, and container registries.
- Continuously improve deployment efficiency, release reliability, and engineering productivity.
3. Containerization & Kubernetes Management
- Architect and manage containerized application environments using Docker and Kubernetes.
- Manage production Kubernetes clusters using Amazon EKS or Azure AKS.
- Implement Kubernetes configurations covering deployments, services, networking, secrets, storage, and resource management.
- Work with Helm charts for application packaging and deployment.
- Optimize container resource utilization, application scaling, and cluster performance.
- Troubleshoot complex container and Kubernetes-related production issues.
- Establish best practices for container security and workload reliability.
4. Infrastructure as Code & Automation
- Implement Infrastructure as Code using Terraform and cloud-native provisioning tools.
- Automate infrastructure provisioning, configuration management, and environment setup.
- Develop reusable infrastructure modules and deployment automation workflows.
- Use Python, Bash, or PowerShell to automate operational tasks and improve efficiency.
- Reduce manual intervention through standardization and automation.
- Maintain infrastructure documentation, configuration standards, and version-controlled deployment workflows.
5. Monitoring, Reliability & Production Operations
- Establish centralized monitoring, logging, alerting, and observability across cloud environments.
- Implement monitoring solutions using CloudWatch, Azure Monitor, Prometheus, Grafana, or equivalent platforms.
- Monitor application availability, infrastructure health, resource utilization, and system performance.
- Lead troubleshooting and resolution of complex production incidents.
- Conduct root cause analysis and implement permanent corrective actions.
- Establish operational practices for backup, disaster recovery, availability, and business continuity.
- Improve system reliability through proactive monitoring and performance optimization.
6. Cloud Security & Governance
- Implement cloud security best practices across infrastructure and application environments.
- Manage IAM, RBAC, access controls, service identities, and secrets management.
- Secure cloud networking, virtual networks, firewalls, and infrastructure access.
- Implement container security and infrastructure hardening practices.
- Ensure cloud environments follow organizational security and compliance requirements.
- Identify infrastructure vulnerabilities and coordinate remediation activities.
- Establish secure deployment and configuration management practices.
7. AI Infrastructure & Engineering Collaboration
- Work closely with AI/ML and software engineering teams to provide infrastructure for AI-powered applications.
- Support the deployment and operation of LLM-based applications, AI services, and AI-enabled platforms.
- Design cloud infrastructure capable of supporting AI workloads, including compute, storage, networking, and containerized services.
- Support the infrastructure requirements of AI applications across development, testing, and production environments.
- Collaborate with engineering teams to improve deployment reliability, scalability, and operational performance of AI-powered systems.
- Evaluate infrastructure technologies and tools that support evolving AI application requirements.
8. Technical Leadership & Team Development
- Provide technical leadership to DevOps engineers and guide implementation across projects.
- Establish engineering standards, infrastructure best practices, and operational procedures.
- Mentor team members on cloud architecture, automation, CI/CD, Kubernetes, and production operations.
- Lead technical discussions and make architecture decisions involving infrastructure and DevOps technologies.
- Collaborate with engineering, security, and product teams to align infrastructure capabilities with business requirements.
- Drive continuous improvement across DevOps processes, tools, and engineering practices.
Required Technical Skills & Experience
1. Cloud Platforms
- 10+ years of overall experience in DevOps, cloud infrastructure, or platform engineering.
- Strong hands-on expertise in at least one major cloud platform: AWS or Azure.
- Practical experience designing, deploying, and operating production-grade cloud infrastructure.
AWS: EC2, S3, IAM, VPC, EKS, Lambda, ECR, CloudWatch, and related infrastructure services.
Azure: Azure Virtual Machines, VNets, AKS, Azure DevOps, Azure Container Registry, Azure Monitor, Key Vault, and related infrastructure services.
Candidates do not need to be experts in both AWS and Azure. Deep expertise in either platform is the priority.
2. DevOps & CI/CD
- Strong experience designing and maintaining CI/CD pipelines.
- Hands-on experience with Azure DevOps, Jenkins, GitHub Actions, GitLab CI, or equivalent tools.
- Understanding of multi-stage pipelines, automated deployments, release approvals, and artifact management.
- Experience implementing deployment automation and rollback strategies.
- Strong understanding of Git workflows and version control practices.
3. Containers & Kubernetes
- Strong hands-on experience with Docker and Kubernetes.
- Practical experience managing EKS or AKS environments.
- Understanding of Kubernetes networking, scaling, storage, secrets, and workload management.
- Experience with Helm and container orchestration.
- Ability to troubleshoot production container and Kubernetes environments.
4. Infrastructure as Code & Scripting
- Strong experience with Terraform and Infrastructure as Code practices.
- Familiarity with CloudFormation, Bicep, ARM templates, or similar tools.
- Working knowledge of Python, Bash, or PowerShell for infrastructure automation.
- Strong understanding of Linux administration and system troubleshooting.
5. Monitoring & Reliability Engineering
- Experience implementing infrastructure and application monitoring.
- Familiarity with CloudWatch, Azure Monitor, Prometheus, Grafana, and centralized logging solutions.
- Understanding of incident management, root cause analysis, performance optimization, and system availability.
- Experience establishing alerting, operational dashboards, and reliability practices.
6. AI/ML Infrastructure Exposure
- Prior experience supporting AI/ML applications, Generative AI platforms, LLM applications, or AI-enabled products.
- Understanding of infrastructure requirements for deploying and operating AI-powered applications.
- Familiarity with containerized AI services, cloud-based model integrations, and scalable application environments.
Note: This role does not require specialized MLOps expertise or model development experience. Strong cloud and DevOps engineering fundamentals remain the primary requirement.
Preferred Skills
- Experience implementing GitOps workflows using Argo CD or similar tools.
- Experience with blue/green deployments, canary releases, and automated rollback mechanisms.
- Exposure to cloud security, enterprise networking, governance, and landing-zone architecture.
- Experience with cloud cost optimization and FinOps practices.
- Familiarity with AI/ML infrastructure and production GenAI applications.
- Experience with Python-based automation and infrastructure tooling.
- Relevant AWS, Azure, Kubernetes, or Terraform certifications.
What We're Looking For Beyond Skills
- Cloud Expertise: Deep technical specialization in AWS or Azure, with the ability to design and manage production infrastructure independently.
- Hands-on Engineering: Someone who actively builds, automates, troubleshoots, and improves infrastructure rather than focusing only on team management.
- Technical Ownership: Takes responsibility for infrastructure reliability, deployment quality, security, and operational performance.
- System Thinking: Understands how cloud infrastructure, applications, networking, databases, and deployment pipelines work together.
- Problem-Solving: Ability to diagnose complex production issues and implement long-term engineering solutions.
- Automation Mindset: Continuously identifies opportunities to eliminate manual work and improve operational efficiency.
- Technical Leadership: Can mentor engineers, establish best practices, and drive technical decisions.
- AI Readiness: Has practical exposure to supporting AI-powered applications and understands their infrastructure requirements.
- Collaboration: Works effectively with software engineering, AI/ML, security, and product teams.
Typical Technology Environment
AreaTechnologiesCloud PlatformsAWS, AzureCI/CDAzure DevOps, GitHub Actions, Jenkins, GitLab CIContainersDocker, Kubernetes, EKS, AKS, HelmInfrastructure as CodeTerraform, CloudFormation, Bicep, ARMGitOpsArgo CD, Git-based deployment workflowsMonitoring & ObservabilityCloudWatch, Azure Monitor, Prometheus, GrafanaAutomationPython, Bash, PowerShellOperating SystemsLinux, WindowsSecurityIAM, RBAC, Secrets Management, Network SecurityAI ExposureAI/ML Applications, GenAI, LLM Platforms, AI-enabled Products
What We Offer
- Competitive compensation aligned with experience and expertise.
- Coimbatore office-based work environment with hybrid flexibility.
- Opportunity to lead cloud infrastructure and DevOps engineering for global clients.
- Exposure to modern AWS/Azure, Kubernetes, automation, and AI engineering practices.
- Paid holidays and flexible time off.
- Medical insurance covering self and family, up to ₹4 lakh per person.
- Opportunities to influence infrastructure architecture and engineering practices.
- A culture that values clarity, integrity, ownership, and continuous growth.
Join Techjays
If you're passionate about building reliable cloud platforms, automating complex infrastructure, and leading DevOps engineering for modern AI-powered applications, we'd love to hear from you.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Techjays
About
Techjays is The AI Reimagination Company — an enterprise AI partner founded by leaders with experience at Google. We don’t just experiment with AI; we build, deploy, and scale production-grade systems that solve real business problems.
Our focus is on industries where impact matters most — manufacturing, logistics, and complex enterprise operations. From intelligent automation to LLM-powered workflows, we design solutions that deliver measurable business outcomes in under 90 days.
With 20+ live AI systems already in production and over $100M in cost savings delivered, our work goes beyond proof of concept — it drives tangible value.
Headquartered in Menlo Park, Techjays operates across seven countries including the USA, India, UAE, UK, Canada, Australia, and Bangladesh — helping global enterprises rethink how they build, operate, and scale with AI at the core.
Tech stack
Amazon Web Services (AWS)
DockerCandid answers by the company
Coimbatore (remote) and Remote options available.
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- Health insurance for Family
- Personal Accident Insurance
- Friendly and Flexible Leave Policy
- Certification and Course Reimbursement
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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.
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- Strong hands-on experience with Linux.
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Amazon Web Services (AWS)Job Title: DevOps Manager
Experience: 8+ Years
Location: Pune
Employment Type: Full-time
About the Role
We are looking for an experienced DevOps Manager with strong hands-on technical expertise and leadership capabilities to manage cloud infrastructure, automation, CI/CD, deployments, and platform reliability. The ideal candidate should have strong experience in Shell Scripting, cloud platforms, Kubernetes, Terraform, and production DevOps environments.
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KubernetesJob Title : DevOps Engineer
Experience : 7+ Years
Working Hours : 3:30 AM – 11:30 AM ET
Duration : 12–18 Months
Engagement : Contract
Freelance : Not Applicable
BGV : Required
Role Overview :
We are looking for an experienced DevOps Engineer to design, implement, and optimize DevOps practices, CI/CD pipelines, deployment automation, and cloud-native delivery platforms. The role will focus on enabling secure, reliable, and efficient software delivery while improving infrastructure automation, release processes, platform reliability, and operational resilience.
Mandatory Skills :
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- Develop deployment automation frameworks to improve release quality, consistency, scalability, and efficiency.
- Administer Kubernetes and containerized environments and supporting orchestration platforms.
- Improve build, test, deployment, and release workflows for development teams.
- Integrate automated testing, security scanning, validation, and compliance controls into CI/CD pipelines.
- Implement monitoring, logging, alerting, and observability solutions for platform and application environments.
- Troubleshoot deployment failures, production issues, and platform incidents; perform root cause analysis.
- Develop automation scripts and tools using PowerShell, Python, Bash, or similar technologies.
- Implement Infrastructure as Code and automation practices to reduce manual effort and operational risk.
- Collaborate with Cloud, Infrastructure, Security, and Application teams to deliver scalable and resilient solutions.
- Maintain deployment standards, release procedures, technical documentation, and operational runbooks.
- Apply DevOps, DevSecOps, and SRE best practices to improve delivery speed and platform reliability.
- Evaluate emerging DevOps technologies and recommend improvements.
- Mentor team members on DevOps methodologies, automation, and platform engineering practices.
- Act as an escalation point for critical deployment, infrastructure, and platform issues.
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1. DevOps & CI/CD :
- 7+ years of experience in DevOps, Platform Engineering, Infrastructure Engineering, or Software Engineering.
- Strong experience designing and supporting CI/CD pipelines and release management.
- Hands-on experience with Azure DevOps, GitHub, GitHub Actions, or equivalent platforms.
- Strong understanding of Git, branching strategies, release management, and deployment methodologies.
2. Containers & Cloud :
- Strong hands-on experience with Kubernetes and Docker/containerization.
- Understanding of cloud-native application architectures and distributed systems.
- Experience supporting production-grade containerized environments.
3. Automation & IaC :
- Strong proficiency in PowerShell, Python, Bash, or similar scripting languages.
- Experience developing automation frameworks and deployment tooling.
- Knowledge of Infrastructure as Code (IaC) concepts.
- Experience with Terraform, Bicep, or similar tools is preferred.
4. Monitoring & Reliability :
- Experience with monitoring, logging, observability, and alerting.
- Strong troubleshooting and root cause analysis skills.
- Experience supporting highly available and resilient production systems.
- Knowledge of SRE practices is preferred.
5. Security & DevSecOps :
- Understanding of DevSecOps and secure software delivery practices.
- Experience integrating vulnerability scanning, security controls, and compliance checks into CI/CD pipelines.
- Knowledge of IAM, secrets management, and access control within DevOps environments.
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DockerKubernetesWe are looking for a Lead DevOps Engineer with strong hands-on experience in AWS, GCP, CI/CD, Kubernetes, Docker, Terraform, Pulumi and DevSecOps. The candidate will lead DevOps teams, drive technical delivery with client stakeholders, design scalable and secure cloud infrastructure, and establish best practices for automation, deployment, reliability, and cost optimization across cloud environments.
### Key Responsibilities
* Lead and mentor DevOps engineers, drive technical execution, and ensure timely delivery of client requirements.
* Engage with client teams and architects to understand requirements, provide technical guidance, and drive solution design and implementation.
* Design, implement, and optimize CI/CD pipelines, GitOps workflows, and automated release processes.
* Architect and manage cloud infrastructure across AWS and GCP (Azure optional) using Infrastructure as Code.
* Lead containerization and orchestration initiatives using Docker, Kubernetes, and Helm.
* Drive DevSecOps, observability, SRE practices, disaster recovery, and cloud cost optimization.
* Troubleshoot complex production issues, drive root cause analysis, and ensure system reliability, security, and performance.
* Collaborate with Development, QA, Security, Architecture, and client teams to drive engineering standards and continuous improvement.
### Mandatory Skills
* 7-9 years of experience in DevOps, Cloud Engineering, or Platform Engineering, including team leadership and client-facing responsibilities.
* Strong hands-on experience with AWS and GCP, including cloud infrastructure, networking, security, and managed services.
* Expertise in CI/CD tools such as Jenkins, Azure DevOps, GitLab CI/CD, GitHub Actions, or equivalent platforms.
* Strong experience with Docker, Kubernetes, Helm, and managed Kubernetes services such as AKS, EKS, or GKE.
* Hands-on expertise in Terraform and Ansible, with experience in Infrastructure as Code and configuration management.
* Experience with GitOps practices and tools such as Argo CD or Flux.
* Strong understanding of Git, branching strategies, release management, and deployment automation.
* Experience implementing DevSecOps practices, including security scanning, secrets management, and vulnerability management.
* Experience with monitoring, logging, alerting, production troubleshooting, and root cause analysis.
* Proficiency in Linux administration, networking fundamentals, and Bash/Python/PowerShell scripting.
* Proven ability to lead teams, manage priorities, communicate with clients, and drive technical decisions independently.
independently.
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* Knowledge of SAST/DAST, SBOM, software supply chain security, and security policy enforcement.
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* Experience with cloud migrations, hybrid environments, disaster recovery, high availability, and cost optimisation.
* Knowledge of service mesh technologies such as Istio or Consul, and API gateways or application gateways.
* Experience with enterprise cloud security, IAM, network security, and infrastructure
Amazon Web Services (AWS)
JenkinsJob Description – DevOps Engineer
Company: Kanhasoft
Experience: 4+ Years
Location: Ahmedabad (Work from Office)
Employment Type: Full-Time
Job Overview
We are looking for an experienced DevOps Engineer with 4+ years of hands-on experience in managing cloud infrastructure, CI/CD pipelines, deployment automation, and server administration. The ideal candidate should have strong knowledge of cloud platforms, containerization, infrastructure management, and deployment processes to ensure scalable, secure, and reliable application delivery.
Key Responsibilities
- Design, implement, and maintain CI/CD pipelines for automated build, testing, and deployment.
- Manage and maintain cloud infrastructure on AWS, Azure, or Google Cloud.
- Work with Docker and Kubernetes for containerization and orchestration.
- Automate infrastructure provisioning and configuration management.
- Monitor application performance, server health, and system availability.
- Manage Linux servers, networking, security, and troubleshooting.
- Implement backup, disaster recovery, and security best practices.
- Collaborate with development and QA teams to streamline deployment processes.
- Identify and resolve infrastructure, deployment, and production-related issues.
- Optimize cloud resources, performance, and infrastructure costs.
Required Skills & Qualifications
- 4+ years of professional experience in DevOps or Cloud Infrastructure.
- Strong hands-on experience with AWS, Azure, or GCP.
- Good knowledge of CI/CD tools such as Jenkins, GitLab CI/CD, or GitHub Actions.
- Hands-on experience with Docker and Kubernetes.
- Strong understanding of Linux/Unix server administration.
- Experience with Infrastructure as Code (IaC) tools such as Terraform or Ansible.
- Knowledge of Git and version control systems.
- Understanding of networking, DNS, load balancing, firewalls, and security.
- Experience with monitoring tools such as Prometheus, Grafana, or ELK Stack.
- Strong troubleshooting, problem-solving, and communication skills.
Preferred Qualifications
- Experience managing production environments.
- Knowledge of scripting languages such as Bash or Python.
- Experience with cloud security and cost optimization.
- Familiarity with microservices architecture.
What We Are Looking For
- A proactive professional with strong technical and analytical skills.
- Ability to work independently and manage multiple infrastructure tasks.
- Strong collaboration skills to work with cross-functional teams.
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- 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.
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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