Devops Tech Lead
at Global internet of things connected solutions provider(H1)
Jenkins
Docker
Amazon Web Services (AWS)- Work with developers to build out CI/CD pipelines, enable self-service build tools and reusable deployment jobs. Find, explore, and advocate for new technologies for enterprise use.
- Automate the provisioning of environments
- Promote new DevOps tools to simplify the build process and entire Continuous Delivery.
- Manage a Continuous Integration and Deployment environment.
- Coordinate and scale the evolving build and cloud deployment systems across all product development teams.
- Work independently, with, and across teams. Establishing smooth running. environments are paramount to your success, and happiness
- Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the[1]box thinking, teamwork, self-organization, and diversity.
Technical Skills
- Experience with AWS multi-region/multi-AZ deployed systems, auto-scaling of EC2 instances, CloudFormation, ELBs, VPCs, CloudWatch, SNS, SQS, S3, Route53, RDS, IAM roles, security groups, cloud watch
- Experience in Data Visualization and Monitoring tools such as Grafana and Kibana
- Experienced in Build and CI/CD/CT technologies like GitHub, Chef, Artifactory, Hudson/Jenkins
- Experience with log collection, filter creation, and analysis, builds, and performance monitoring/tuning of infrastructure.
- Automate the provisioning of environments pulling strings with Puppet, cooking up some recipes with Chef, or through Ansible, and the deployment of those environments using containers, like Docker or Rocket: (have at least some configuration management tool through some version control).
Qualifications:
- B.E/ B.Tech/ M.C.A in Computer Science, Electronics and Communication Engineering, Electronics and Electrical Engineering.
- Minimum 60% in Graduation and Post-Graduation.
- Good verbal and written communication skills
Shubham Vishwakarma
Full Stack Developer - Averlon
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KubernetesJenkinsDocker🚀 Hiring: Azure DevOps Engineer – Immediate Joiners Only! 🚀
📍 Location: Pune (Hybrid)
💼 Experience: 5+ Years
🕒 Mode of Work: Hybrid
Are you a proactive and skilled Azure DevOps Engineer looking for your next challenge? We are hiring immediate joiners to join our dynamic team! If you are passionate about CI/CD, cloud automation, and SRE best practices, we want to hear from you.
🔹 Key Skills Required:
✅ Cloud Expertise: Proficiency in any cloud (Azure preferred)
✅ CI/CD Pipelines: Hands-on experience in designing and managing pipelines
✅ Containers & IaC: Strong knowledge of Docker, Terraform, Kubernetes
✅ Incident Management: Quick issue resolution and RCA
✅ SRE & Observability: Experience with SLI/SLO/SLA, monitoring, tracing, logging
✅ Programming: Proficiency in Python, Golang
✅ Performance Optimization: Identifying and resolving system bottlenecks
Job Title: Senior DevOps Engineer
Experience: 8+ Years
Joining: Immediate Joiner
Location: Bangalore (Onsite/Hybrid – as applicable)
Job Description:
We are looking for a highly experienced Senior DevOps Engineer with 8+ years of hands-on experience to join our team immediately. The ideal candidate will be responsible for designing, implementing, and managing scalable, secure, and highly available infrastructure.
Key Responsibilities:
- Design, build, and maintain CI/CD pipelines for application deployment
- Manage cloud infrastructure (AWS/Azure/GCP) and optimize cost and performance
- Automate infrastructure using Infrastructure as Code (Terraform/CloudFormation)
- Manage containerized applications using Docker and Kubernetes
- Monitor system performance, availability, and security
- Collaborate closely with development, QA, and security teams
- Troubleshoot production issues and perform root cause analysis
- Ensure high availability, disaster recovery, and backup strategies
Required Skills:
- 8+ years of experience in DevOps / Site Reliability Engineering
- Strong expertise in Linux/Unix administration
- Hands-on experience with AWS / Azure / GCP
- CI/CD tools: Jenkins, GitLab CI, GitHub Actions, Azure DevOps
- Containers & orchestration: Docker, Kubernetes
- Infrastructure as Code: Terraform, CloudFormation, Ansible
- Monitoring tools: Prometheus, Grafana, ELK, CloudWatch
- Strong scripting skills (Bash, Python)
- Experience with security best practices and compliance
Good to Have:
- Experience with microservices architecture
- Knowledge of DevSecOps practices
- Cloud certifications (AWS/Azure/GCP)
- Experience in high-traffic production environments
Why Join Us:
- Opportunity to work on scalable, enterprise-grade systems
- Collaborative and growth-oriented work environment
- Competitive compensation and benefits
- Immediate joiners preferred.
KubernetesDockerThe Role
As a DevOps Engineer at Blitzy's Pune headquarters, you'll build and operate the infrastructure that powers our AI agents and the applications they produce. You'll work at the intersection of cloud infrastructure, developer tooling, and AI-native systems — designing the pipelines, clusters, and automation that allow Blitzy to ship production-ready software at machine speed. This is a hands-on, high-ownership role for an engineer who moves fast, automates everything, and cares deeply about developer experience and system reliability.
What Success Looks Like
- Kubernetes clusters are running reliably at scale, with clear deployment standards, Helm-managed releases, and minimal manual intervention required from engineering teams.
- CI/CD pipelines are fast, consistent, and trusted — developers ship confidently knowing the automation handles the rest.
- Observability is comprehensive: alerts are actionable, dashboards are meaningful, and incidents are resolved faster because the right data is always available.
- Infrastructure provisioning is fully automated — no snowflake environments, no manual setup, everything reproducible through code.
- AI agent orchestration infrastructure is stable and scalable, directly enabling Blitzy's core product to deliver for enterprise customers.
- Engineering teams notice the difference — developer productivity is measurably higher and infrastructure is no longer a bottleneck to shipping.
Areas of Ownership
- Build and manage Kubernetes clusters supporting AI agent workloads and application deployment at scale.
- Design, implement, and maintain CI/CD pipelines for application and AI service delivery — ensuring speed, reliability, and repeatability.
- Automate infrastructure provisioning and dynamic scaling using Python scripts and Terraform IaC.
- Deploy and manage applications using Helm charts; own packaging standards and release automation.
- Build and maintain comprehensive observability stacks — alerting, distributed tracing, metrics, and logging (e.g., Prometheus, Grafana, Datadog, OpenTelemetry).
- Monitor and maintain production services and APIs; own incident response and drive blameless postmortems.
- Build dedicated infrastructure for AI agent orchestration and management, enabling Blitzy's core autonomous development capabilities.
- Collaborate with engineering teams on deployment strategies and continuously improve developer experience through tooling and automation.
Required Experience
- 5–8 years of DevOps, infrastructure, or platform engineering experience.
- Python proficiency for scripting, automation, and infrastructure tooling.
- Deep Kubernetes expertise — cluster management, workload deployment, scaling, and troubleshooting.
- Hands-on Helm experience for application packaging and release management.
- Proven ability to design and implement CI/CD pipelines across complex, multi-service environments.
- Practical experience with at least one major cloud platform (AWS, GCP, or Azure).
- Terraform proficiency for infrastructure-as-code provisioning and state management.
- Strong Linux administration and containerization fundamentals (Docker, OCI).
What Makes You Stand Out
- CKA (Certified Kubernetes Administrator) certification.
- Familiarity with MLOps tooling such as MLflow, Kubeflow, or similar platforms for AI/ML workload management.
- Experience with microservices architecture and distributed systems design.
- Knowledge of API gateways and service mesh technologies (Istio, Linkerd, or equivalent).
- Prior experience in a high-growth AI or software startup where you moved fast and owned broadly.
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What Makes This Role Different
Most DevOps roles have you maintaining existing systems. At Blitzy, you're building the infrastructure layer for a platform that autonomously writes enterprise software — a genuinely new category of product. You'll work on AI agent orchestration, Kubernetes at scale, and developer tooling that is directly responsible for how fast Blitzy delivers value to Fortune 500 customers. As an early member of the Pune engineering team, you'll have outsized influence over our infrastructure culture and technical direction. High performers are eligible for company equity — giving you real ownership in what you build.
Amazon Web Services (AWS)DockerKubernetesKey Skills Required:
· You will be part of the DevOps engineering team, configuring project environments, troubleshooting integration issues in different systems also be involved in building new features for next generation of cloud recovery services and managed services.
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To be the right fit, you'll need:
· Expert in Cloud Services like AWS.
· Experience in Terraform Scripting.
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· Good knowledge of frameworks such as Jenkins, CI/CD pipeline, Bamboo Etc.
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DockerKubernetesAmazon Web Services (AWS)
DockerKubernetesAmazon Web Services (AWS)Main tasks
- Supervision of the CI/CD process for the automated builds and deployments of web services and web applications as well as desktop tool in the cloud and container environment
- Responsibility of the operations part of a DevOps organization especially for development in the environment of container technology and orchestration, e.g. with Kubernetes
- Installation, operation and monitoring of web applications in cloud data centers for the purpose of development of the test as well as for the operation of an own productive cloud
- Implementation of installations of the solution especially in the container context
- Introduction, maintenance and improvement of installation solutions for development in the desktop and server environment as well as in the cloud and with on-premise Kubernetes
- Maintenance of the system installation documentation and implementation of trainings
Execution of internal software tests and support of involved teams and stakeholders
- Hands on Experience with Azure DevOps.
Qualification profile
- Bachelor’s or master’s degree in communications engineering, electrical engineering, physics or comparable qualification
- Experience in software
- Installation and administration of Linux and Windows systems including network and firewalling aspects
- Experience with build and deployment automation with tools like Jenkins, Gradle, Argo, AnangoDB or similar as well as system scripting (Bash, Power-Shell, etc.)
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KubernetesType, Location
Full Time @ Anywhere in India
Desired Experience
2+ years
Job Description
What You’ll Do
● Deploy, automate and maintain web-scale infrastructure with leading public cloud vendors such as Amazon Web Services, Digital Ocean & Google Cloud Platform.
● Take charge of DevOps activities for CI/CD with the latest tech stacks.
● Acquire industry-recognized, professional cloud certifications (AWS/Google) in the capacity of developer or architect Devise multi-region technical solutions.
● Implementing the DevOps philosophy and strategy across different domains in organisation.
● Build automation at various levels, including code deployment to streamline release process
● Will be responsible for architecture of cloud services
● 24*7 monitoring of the infrastructure
● Use programming/scripting in your day-to-day work
● Have shell experience - for example Powershell on Windows, or BASH on *nix
● Use a Version Control System, preferably git
● Hands on at least one CLI/SDK/API of at least one public cloud ( GCP, AWS, DO)
● Scalability, HA and troubleshooting of web-scale applications.
● Infrastructure-As-Code tools like Terraform, CloudFormation
● CI/CD systems such as Jenkins, CircleCI
● Container technologies such as Docker, Kubernetes, OpenShift
● Monitoring and alerting systems: e.g. NewRelic, AWS CloudWatch, Google StackDriver, Graphite, Nagios/ICINGA
What you bring to the table
● Hands on experience in Cloud compute services, Cloud Function, Networking, Load balancing, Autoscaling.
● Hands on with GCP/AWS Compute & Networking services i.e. Compute Engine, App Engine, Kubernetes Engine, Cloud Function, Networking (VPC, Firewall, Load Balancer), Cloud SQL, Datastore.
● DBs: Postgresql, MySQL, Elastic Search, Redis, kafka, MongoDB or other NoSQL systems
● Configuration management tools such as Ansible/Chef/Puppet
Bonus if you have…
● Basic understanding of Networking(routing, switching, dns) and Storage
● Basic understanding of Protocol such as UDP/TCP
● Basic understanding of Cloud computing
● Basic understanding of Cloud computing models like SaaS, PaaS
● Basic understanding of git or any other source code repo
● Basic understanding of Databases(sql/no sql)
● Great problem solving skills
● Good in communication
● Adaptive to learning
DockerKubernetesAmazon Web Services (AWS)Job Description
- Implement IAM policies and configure VPCs to create a scalable and secure network for the application workloads
- Will be client point of contact for High Priority technical issues and new requirements
- Should act as Tech Lead and guide the junior members of team and mentor them
- Work with client application developers to build, deploy and run both monolithic and microservices based applications on AWS Cloud
- Analyze workload requirements and work with IT stakeholders to define proper sizing for cloud workloads on AWS
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- Work with IT stakeholders to monitor system performance and proactively improve the environment for scale and security
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- Must have at least 3+ years of working as a Cloud Engineer focused on AWS services such as EC2, CloudFront, VPC, CloudWatch, RDS, DynamoDB, Systems Manager, Route53, WAF, API Gateway, Elastic beanstalk, ECS, ECR, Lambda, SQS, SNS, S3 bucket, Elastic Search, DocumentDB IAM, etc.
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- Must have a strong understanding of IAM policies, VPC creation, and other security/networking principles
- Must have through experience in doing on prem to AWS cloud workload migration
- Should be comfortable in using AWS and other migrations tools
- Should have experience is working on AWS performance, Cost and Security optimisation
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DockerKubernetesAmazon Web Services (AWS)- Essentail Skills:
- Docker
- Jenkins
- Python dependency management using conda and pip
- Base Linux System Commands, Scripting
- Docker Container Build & Testing
- Common knowledge of minimizing container size and layers
- Inspecting containers for un-used / underutilized systems
- Multiple Linux OS support for virtual system
- Has experience as a user of jupyter / jupyter lab to test and fix usability issues in workbenches
- Templating out various configurations for different use cases (we use Python Jinja2 but are open to other languages / libraries)
- Jenkins PIpeline
- Github API Understanding to trigger builds, tags, releases
- Artifactory Experience
- Nice to have: Kubernetes, ArgoCD, other deployment automation tool sets (DevOps)
Amazon Web Services (AWS)This company is a network of the world's best developers - full-time, long-term remote software jobs with better compensation and career growth. We enable our clients to accelerate their Cloud Offering, and Capitalize on Cloud. We have our own IOT/AI platform and we provide professional services on that platform to build custom clouds for their IOT devices. We also build mobile apps, run 24x7 devops/site reliability engineering for our clients.
We are looking for very hands-on SRE (Site Reliability Engineering) engineers with 3 to 6 years of experience. The person will be part of team that is responsible for designing & implementing automation from scratch for medium to large scale cloud infrastructure and providing 24x7 services to our North American / European customers. This also includes ensuring ~100% uptime for almost 50+ internal sites. The person is expected to deliver with both high speed and high quality as well as work for 40 Hours per week (~6.5 hours per day, 6 days per week) in shifts which will rotate every month.
This person MUST have:
- B.E Computer Science or equivalent
- 2+ Years of hands-on experience troubleshooting/setting up of the Linux environment, who can write shell scripts for any given requirement.
- 1+ Years of hands-on experience setting up/configuring AWS or GCP services from SCRATCH and maintaining them.
- 1+ Years of hands-on experience setting up/configuring Kubernetes & EKS and ensuring high availability of container orchestration.
- 1+ Years of hands-on experience setting up CICD from SCRATCH in Jenkins & Gitlab.
- Experience configuring/maintaining one monitoring tool.
- Excellent verbal & written communication skills.
- Candidates with certifications - AWS, GCP, CKA, etc will be preferred
- Hands-on experience with databases (Cassandra, MongoDB, MySQL, RDS).
Experience:
- Min 3 years of experience as SRE automation engineer building, running, and maintaining production sites. Not looking for candidates who have experience only as L1/L2 or Build & Deploy..
Location:
- Remotely, anywhere in India
Timings:
- The person is expected to deliver with both high speed and high quality as well as work for 40 Hours per week (~6.5 hours per day, 6 days per week) in shifts which will rotate every month.
Position:
- Full time/Direct
- We have great benefits such as PF, medical insurance, 12 annual company holidays, 12 PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other incentives etc.
- We dont believe in locking in people with large notice periods. You will stay here because you love the company. We have only a 15 days notice period.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon