Bootlabs Technologies Private Limited
https://bootlabstech.comAbout
BootLabs is a boutique consulting partner focused on helping enterprises build, scale, and modernize their DevSecOps and cloud platforms. We’re driven by a clear goal—creating future-ready, intelligent systems through strong cloud automation while keeping total cost of ownership in check.
We support organizations in accelerating development and enabling consistent, reliable releases through DevOps automation, including CI/CD and infrastructure as code. Our managed services ensure your cloud platforms stay secure, updated, and high-performing, so your teams can stay focused on core business priorities.
With expertise in site reliability engineering, we help identify system bottlenecks, improve observability, and deliver meaningful insights for faster resolution. We also work closely on cost optimization, ensuring efficient cloud usage with the right controls and scaling mechanisms—so performance improves without unnecessary spend.
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Mumbai, Bangalore
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Jobs at Bootlabs Technologies Private Limited
About BootLabs:
BootLabs is a boutique tech consulting and digital engineering company that partners with leading enterprises to build and support scalable, cloud-native, and data-driven platforms. We specialise in delivering high-impact solutions across cloud, AI/GenAI, platform engineering, and enterprise application support. Our teams work closely with global clients across highly regulated industries, including BFSI, Healthcare, E-commerce, and other domains, ensuring reliability, security, and operational excellence for mission-critical systems.
JD:
Extensive experience in deploying, and supporting enterprise workloads across Azure IaaS, PaaS, and SaaS environments.
Experience managing enterprise Landing Zones & Azure Policies.
Exposure to Azure Data Lake and Azure Databricks (basic to intermediate).
Knowledge of Terraform and any DevOps CI/CD pipelines.
Hybrid connectivity experience (VPN Gateway / ExpressRoute).
Strong networking fundamentals (NSG, UDR, Peering).
OS-level troubleshooting (Windows & Linux).
Experience with enterprise security tools such as Prisma / Cortex or similar vulnerability & endpoint security tools
Experience in production support, governance, and security guardrails.
Experience handling production incidents, RCA preparation, and performance tuning. Change management & CAB coordination.
Hands-on experience with native Azure security services like Azure Firewall, Azure Application Gateway with WAF etc
Cost optimization ,Monitoring & alerting implementation
Amazon Web Services (AWS)
PythonJob Title: AWS DevOps Engineer (MLOps)
We are looking for a highly skilled AWS + MLOps Engineer to design, build, and maintain scalable machine learning infrastructure and pipelines on AWS. The ideal candidate will have strong expertise in DevOps practices, cloud architecture, and MLOps frameworks, along with solid Python programming skills.
Job Description:
We are looking for an experienced AWS DevOps Engineer to join our team. You will be responsible for building and optimising CI/CD pipelines, managing AWS infrastructure, and automating tasks using AWS services.
Key Responsibilities:
- CI/CD Pipelines: Develop CI/CD pipelines with AWS CodePipeline, build ECR images, and update services on ECS.
- Automation: Create Python Lambda functions for automation and AWS Batch jobs for GPU processing.
- Infrastructure Management: Manage AWS infrastructure using Terraform (IAM roles, RDS, Lambda, etc.) and deploy microservices on EKS with ALB Ingress.
- Data Processing: Work with AWS Step Functions and EMR for data workflows; troubleshoot Spark jobs.
- Microservices: Deploy ATLAS on ECS, and create AWS Glue crawlers for data integration.
- Strong Experience with MLOps is an added advantage.
Required Skills:
- Experience with AWS services (ECS, ECR, Lambda, Step Functions, EMR, Glue, etc.).
- Proficient in CI/CD, Terraform, and Python scripting.
- Experience deploying EKS clusters and using AWS ALB for routing.
- Strong troubleshooting skills with EMR and Spark.
- Understanding/experience with AWS EMR, Sagemaker and Databricks would be added advantage
Preferred:
- AWS Certification (DevOps, Solutions Architect, etc.).
- Experience with microservices and GPU-intensive processes.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Docker
KubernetesAmazon Web Services (AWS)About BootLabs
https://www.google.com/url?q=https://www.bootlabs.in/&;sa=D&source=calendar&ust=1667803146567128&usg=AOvVaw1r5g0R_vYM07k6qpoNvvh6" target="_blank">https://www.bootlabs.in/
-We are a Boutique Tech Consulting partner, specializing in Cloud Native Solutions.
-We are obsessed with anything “CLOUD”. Our goal is to seamlessly automate the development lifecycle, and modernize infrastructure and its associated applications.
-With a product mindset, we enable start-ups and enterprises on the cloud
transformation, cloud migration, end-to-end automation and managed cloud services.
-We are eager to research, discover, automate, adapt, empower and deliver quality solutions on time.
-We are passionate about customer success. With the right blend of experience and exuberant youth in our in-house team, we have significantly impacted customers.
Technical Skills:
• Expertise in any one hyper scaler (AWS/AZURE/GCP), including basic services like networking,
data and workload management.
- AWS
Networking: VPC, VPC Peering, Transit Gateway, Route Tables, Security Groups, etc.
Data: RDS, DynamoDB, Elastic Search
Workload: EC2, EKS, Lambda, etc.
- Azure
Data: Azure MySQL, Azure MSSQL, etc.
Workload: AKS, Virtual Machines, Azure Functions
- GCP
Data: Cloud Storage, DataFlow, Cloud SQL, Firestore, BigTable, BigQuery
Workload: GKE, Instances, App Engine, Batch, etc.
• Experience in any one of the CI/CD tools (Gitlab/Github/Jenkins) including runner setup,
templating and configuration.
• Kubernetes experience or Ansible Experience (EKS/AKS/GKE), basics like pod, deployment,
networking, service mesh. Used any package manager like helm.
• Scripting experience (Bash/python), automation in pipelines when required, system service.
• Infrastructure automation (Terraform/pulumi/cloud formation), write modules, setup pipeline and version the code.
Optional:
• Experience in any programming language is not required but is appreciated.
• Good experience in GIT, SVN or any other code management tool is required.
• DevSecops tools like (Qualys/SonarQube/BlackDuck) for security scanning of artifacts, infrastructure and code.
• Observability tools (Opensource: Prometheus, Elasticsearch, Open Telemetry; Paid: Datadog,
24/7, etc)
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
DockerKubernetesAmazon Web Services (AWS)• Expertise in any one hyper-scale (AWS/AZURE/GCP), including basic services like networking, data and workload management.
o AWS
Networking: VPC, VPC Peering, Transit Gateway, RouteTables, SecurityGroups, etc.
Data: RDS, DynamoDB, ElasticSearch
Workload: EC2, EKS, Lambda, etc.
o Azure
Networking: VNET, VNET Peering,
Data: Azure MySQL, Azure MSSQL, etc.
Workload: AKS, VirtualMachines, AzureFunctions
o GCP
Networking: VPC, VPC Peering, Firewall, Flowlogs, Routes, Static and External IP Addresses
Data: Cloud Storage, DataFlow, Cloud SQL, Firestore, BigTable, BigQuery
Workload: GKE, Instances, App Engine, Batch, etc.
• Experience in any one of the CI/CD tools (Gitlab/Github/Jenkins) including runner setup, templating and configuration.
• Kubernetes experience or Ansible Experience (EKS/AKS/GKE), basics like pod, deployment, networking, service mesh. Used any package manager like helm.
• Scripting experience (Bash/python), automation in pipelines when required, system service.
• Infrastructure automation (Terraform/pulumi/cloudformation), write modules, setup pipeline and version the code.
Optional
• Experience in any programming language is not required but is appreciated.
• Good experience in GIT, SVN or any other code management tool is required.
• DevSecops tools like (Qualys/SonarQube/BlackDuck) for security scanning of artifacts, infrastructure and code.
• Observability tools (Opensource: Prometheus, Elasticsearch, OpenTelemetry; Paid: Datadog, 24/7, etc)
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