Docker
Kubernetes
Amazon Web Services (AWS)Please find the JD below:
- Candidate should have good Platform experience on Azure with Terraform.
- The devops engineer needs to help developers, create the Pipelines and K8s Deployment Manifests.
- Good to have experience on migrating data from (AWS) to Azure.
- To manage/automate infrastructure automatically using Terraforms. Jenkins is the key CI/CD tool which we uses and it will be used to run these Terraforms.
- VMs to be provisioned on Azure Cloud and managed.
- Good hands-on experience of Networking on Cloud is required.
- Ability to setup Database on VM as well as managed DB and Proper set up of cloud hosted microservices needs to be done to communicate with the db services.
- Kubernetes, Storage, KeyValult, Networking (load balancing and routing) and VMs are the key infrastructure expertise which are essential.
- Requirement is to administer Kubernetes cluster end to end. (Application deployment, managing namespaces, load balancing, policy setup, using blue green/canary deployment models etc).
- The experience in AWS is desirable.
- Python experience is optional however Power shell is mandatory.
- Know-how on the use of GitHub
- Administration of Azure Kubernetes services
Shubham Vishwakarma
Full Stack Developer - Averlon
About EnterpriseMinds
About
Enterprise Minds, with core focus on engineering products, automation and intelligence, partners customers on the trajectory towards increasing outcomes, relevance and growth.
Harnessing the power of Data and the forces that define AI, Machine Learning and Data Science, we believe in institutionalising go-to-market models and not just explore possibilities.
We believe in a customer-centric ethic without and people-centric paradigm within. With a strong sense of community, ownership and collaboration our people work in a spirit of co-creation, co-innovation and co-development to engineer next-generation software products with the help of accelerators.
Through Communities we connect and attract talent that shares skills and expertise. Through Innovation Labs and global design studios we deliver creative solutions.
We create vertical isolated pods which has narrow but deep focus. We also create horizontal pods to collaborate and deliver sustainable outcomes.
We follow Agile methodologies to fail fast and deliver scalable and modular solutions. We constantly self-asses and realign to work with each customer in the most impactful manner.
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KubernetesAmazon Web Services (AWS)Job Details:
- Role: Staff Engineer, ArgoCD
- Experience: 5.5-7.5 Years
- Employment Type: Full-time
- Work Mode: Gurugram (Hybrid)
Job Description
REQUIREMENTS:
- Strong hands-on experience with Kubernetes (K8s) administration, deployment, and troubleshooting
- Expertise in GitOps implementation using ArgoCD
- Strong experience with Crossplane for infrastructure provisioning and orchestration
- Hands-on experience with New Relic for monitoring, observability, and performance management
- Experience building and maintaining CI/CD pipelines and deployment automation
- Strong knowledge of Infrastructure as Code (IaC) using Terraform
- Experience working with AWS cloud services and cloud-native architectures
- Hands-on experience with Docker and containerization technologies
- Strong Linux administration and scripting skills
- Experience implementing platform reliability, security, and automation best practices
- Strong understanding of monitoring, logging, and observability frameworks
RESPONSIBILITIES:
- Manage, maintain, and optimize Kubernetes-based infrastructure and application deployments
- Implement and support GitOps workflows using ArgoCD
- Design and manage infrastructure provisioning using Crossplane
- Monitor platform performance, reliability, and user experience using New Relic
- Build, enhance, and maintain CI/CD pipelines for automated software delivery
- Collaborate with development and platform engineering teams to deliver scalable cloud-native solutions
- Implement Infrastructure as Code practices using Terraform and automation tools
- Ensure platform stability, security, scalability, and operational excellence
- Troubleshoot infrastructure, deployment, and performance-related issues
- Drive continuous improvement initiatives across DevOps processes, tooling, and automation practices
- Support cloud infrastructure management and containerized application environments on AWS
- Promote DevOps best practices, governance, and operational standards across teams
Qualifications
Bachelor’s or master’s degree in computer science, Information Technology, or a related fields
Amazon Web Services (AWS)Location: Bangalore
Experience: 2–5 years
Type: Full-time | On-site
Start: Immediate
Why this role exists
Most systems don’t fail because of one big outage.
They fail because reliability is treated as an afterthought.
Right now, uptime depends too much on individual heroics.
That doesn’t scale.
This role exists to build a reliability system where:
- Uptime is predictable
- Failures are contained
- Escalations don’t depend on leadership
What you’ll do
You will not just monitor systems.
You will own reliability as a product.
1. Drive uptime to production-grade reliability
- Improve system uptime to 99.9% customer-facing SLA within 4 months
- Define and track:
- SLAs / SLOs / error budgets
- Ensure reliability is measured from the customer’s perspective, not internal metrics
2. Build incident response as a system
- Set up a 24/7 incident response rotation across 3 engineers
- Eliminate dependency on leadership (no single escalation point)
- Define:
- Incident severity levels
- Response playbooks
- Escalation protocols
- Ensure fast detection → containment → resolution
3. Contain and fix erratic system behavior
- Identify and resolve:
- Latency spikes
- Downtime incidents
- Integration failures
- Build guardrails to prevent recurrence
- Focus on root cause elimination, not temporary fixes
4. Create continuous reliability feedback loops
- Work closely with engineering teams to:
- Surface recurring failure patterns
- Improve build quality
- Reduce production bugs
- Ensure learnings from incidents directly improve future releases
5. Improve observability and monitoring
- Build dashboards and alerts for:
- System health
- Performance metrics
- Failure signals
- Ensure issues are detected before customers report them
6. Reduce operational fragility
- Remove single points of failure (people, systems, workflows)
- Improve system resilience across:
- Deployments
- Integrations
- Runtime environments
What success looks like
- Uptime reaches 99.9%+ reliably
- Incidents are:
- Detected early
- Contained quickly
- Resolved permanently
- No dependency on a single individual for escalation
- System behavior becomes predictable and stable
- Engineering teams ship with higher reliability confidence
Who you are
- You have 2-5 years of experience in SRE / DevOps / backend systems
- You have worked on production systems with real uptime expectations
- You think in:
- Systems
- Failure modes
- Trade-offs
- You are comfortable debugging live, high-pressure environments
What will make you stand out
- Experience with:
- Distributed systems
- Cloud infrastructure (AWS / Azure / GCP)
- Monitoring & alerting tools
- Have built or improved:
- Incident response systems
- Reliability frameworks
- Strong debugging skills across:
- Infra
- Application
- Integrations
Compensation
₹60,000/month (fixed)
(Aligned with role scope and impact expectations)
Why join
- You will define reliability standards for a production AI platform
- Your work directly impacts:
- Customer trust
- Product performance
- Enterprise readiness
- You will move the system from reactive → predictable
What this role is not
- Not just monitoring dashboards
- Not limited to handling tickets
- Not dependent on escalation to leadership
What this role is
- A builder of reliability systems
- A guardian of uptime and performance
- A multiplier of engineering quality
One question to self-evaluate
Can you build a system where downtime is rare, predictable, and never dependent on a single person?
Roles and Responsibilities:
▪ Data Pipeline Development: Build, deploy, and maintain efficient ETL/ELT pipelines using Azure
Data Factory, Data Factory & Azure Synapse Analytics.
▪ We are only looking for senior candidates with over 5 yrs of relevant exp with ample client
facing exp.
· Finance/Insurance experience is also a must.
▪ Data Modelling & Warehousing: Design and optimize data models, warehouses, and lakes for
structured/unstructured data.
▪ SQL & Query Optimization: Write complex SQL queries, optimize performance, and manage
databases. · Python Automation: Develop scripts for data processing, automation, and
integration using Python (Pandas, NumPy).
Technical Skills:
▪ Cloud Technologies: Azure Synapse Analytics, Azure Fabric, Azure Databricks and AWS(good to
have)
▪ Knowledge of Python, Pyspark, SQL, ETL concepts
▪ Good understanding of Insurance Operations and KPI reporting is an advantage.
Java
PythonAmazon Web Services (AWS)● Good understanding of how the web works
● Experience with at least one language like Java, Python etc
● Good with Shell scripting
● Experience with *Nix based operating systems
● Experience with k8s, containers
● Fairly good understanding of AWS/GCP/Azure
● Troubleshoot and fix outages and performance issues in infrastructure stack
● Identify gap and design automation tools for all feasible functions in infrastructure
● Good verbal and written communication skills
● Drive SLA/SLO of team
Benefits
This is an opportunity to work on a fairly complex set of systems and improve
them. You will get a chance to learn things like “how to think about code
simplicity”, “how to write for maintainability” and several other things.
● Comprehensive health insurance policy.
● Flexible working hours and a very friendly work environment.
● Flexibility to work either in the office (post Covid) or remotely.
DockerKubernetesAmazon Web Services (AWS)
LogiNext is looking for a technically savvy and passionate Junior DevOps Engineer to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust and scalable infrastructure.
Knowledge in building secure, high-performing and scalable infrastructure. Experience to automate and streamline the development operations and processes. You are a master in troubleshooting and resolving issues in non-production and production environments.
Responsibilities:
Scale and optimise a variety of SQL and NoSQL databases, web servers, application frameworks, caches, and distributed messaging systems Automate the deployment and configuration of the virtualized infrastructure and the entire software stack Support several Linux servers running our SaaS platform stack on AWS, Azure, GCP Define and build processes to identify performance bottlenecks and scaling pitfalls Manage robust monitoring and alerting infrastructure Explore new tools to improve development operations
Requirements:
Bachelor’s degree in Computer Science, Information Technology or a related field 0 to 1 years of experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure Knowledge in Linux/Unix Administration and Python/Shell Scripting Experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure Knowledge in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms Experience in enterprise application development, maintenance and operations Knowledge of best practices and IT operations in an always-up, always-available service Excellent written and oral communication skills, judgment and decision-making skills
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)
Amazon Web Services (AWS)About the Company
Blue Sky Analytics is a Climate Tech startup that combines the power of AI & Satellite data to aid in the creation of a global environmental data stack. Our funders include Beenext and Rainmatter. Over the next 12 months, we aim to expand to 10 environmental data-sets spanning water, land, heat, and more!
We are looking for DevOps Engineer who can help us build the infrastructure required to handle huge datasets on a scale. Primarily, you will work with AWS services like EC2, Lambda, ECS, Containers, etc. As part of our core development crew, you’ll be figuring out how to deploy applications ensuring high availability and fault tolerance along with a monitoring solution that has alerts for multiple microservices and pipelines. Come save the planet with us!
Your Role
- Applications built at scale to go up and down on command.
- Manage a cluster of microservices talking to each other.
- Build pipelines for huge data ingestion, processing, and dissemination.
- Optimize services for low cost and high efficiency.
- Maintain high availability and scalable PSQL database cluster.
- Maintain alert and monitoring system using Prometheus, Grafana, and Elastic Search.
Requirements
- 1-4 years of work experience.
- Strong emphasis on Infrastructure as Code - Cloudformation, Terraform, Ansible.
- CI/CD concepts and implementation using Codepipeline, Github Actions.
- Advanced hold on AWS services like IAM, EC2, ECS, Lambda, S3, etc.
- Advanced Containerization - Docker, Kubernetes, ECS.
- Experience with managed services like database cluster, distributed services on EC2.
- Self-starters and curious folks who don't need to be micromanaged.
- Passionate about Blue Sky Climate Action and working with data at scale.
Benefits
- Work from anywhere: Work by the beach or from the mountains.
- Open source at heart: We are building a community where you can use, contribute and collaborate on.
- Own a slice of the pie: Possibility of becoming an owner by investing in ESOPs.
- Flexible timings: Fit your work around your lifestyle.
- Comprehensive health cover: Health cover for you and your dependents to keep you tension free.
- Work Machine of choice: Buy a device and own it after completing a year at BSA.
- Quarterly Retreats: Yes there's work-but then there's all the non-work+fun aspect aka the retreat!
- Yearly vacations: Take time off to rest and get ready for the next big assignment by availing the paid leaves.
PythonAmazon Web Services (AWS)DockerRequired Skills and Experience
- 4+ years of relevant experience with DevOps tools Jenkins, Ansible, Chef etc
- 4+ years of experience in continuous integration/deployment and software tools development experience with Python and shell scripts etc
- Building and running Docker images and deployment on Amazon ECS
- Working with AWS services (EC2, S3, ELB, VPC, RDS, Cloudwatch, ECS, ECR, EKS)
- Knowledge and experience working with container technologies such as Docker and Amazon ECS, EKS, Kubernetes
- Experience with source code and configuration management tools such as Git, Bitbucket, and Maven
- Ability to work with and support Linux environments (Ubuntu, Amazon Linux, CentOS)
- Knowledge and experience in cloud orchestration tools such as AWS Cloudformation/Terraform etc
- Experience with implementing "infrastructure as code", “pipeline as code” and "security as code" to enable continuous integration and delivery
- Understanding of IAM, RBAC, NACLs, and KMS
- Good communication skills
Good to have:
- Strong understanding of security concepts, methodologies and apply them such as SSH, public key encryption, access credentials, certificates etc.
- Knowledge of database administration such as MongoDB.
- Knowledge of maintaining and using tools such as Jira, Bitbucket, Confluence.
- Work with Leads and Architects in designing and implementation of technical infrastructure, platform, and tools to support modern best practices and facilitate the efficiency of our development teams through automation, CI/CD pipelines, and ease of access and performance.
- Establish and promote DevOps thinking, guidelines, best practices, and standards.
- Contribute to architectural discussions, Agile software development process improvement, and DevOps best practices.
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Azure, Azure AD, ADFS, Azure AD Connect, Microsoft Identity management |
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Azure, Architecture, solution designing, Subscription Design |
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon