Devops Engineer at An US based firm offering permanent WFH · Remote only · 4 - 10 years · ₹10L - ₹30L / yr · Remote only · Posted 23 May 2022
Git
GitHub
Kubernetes
Jenkins
Amazon Web Services (AWS)
PythonWe are looking for very hands-on DevOps engineers with 3 to 6 years of experience. The person will be part of a 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 that will rotate every month.
This person MUST have:
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B.E Computer Science or equivalent
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2+ Years of hands-on experience troubleshooting/setting up of the Linux environment, who can write shell scripts for any given requirement.
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1+ Years of hands-on experience setting up/configuring AWS or GCP services from SCRATCH and maintaining them.
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1+ Years of hands-on experience setting up/configuring Kubernetes & EKS and ensuring high availability of container orchestration.
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1+ Years of hands-on experience setting up CICD from SCRATCH in Jenkins & Gitlab.
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Experience configuring/maintaining one monitoring tool.
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Excellent verbal & written communication skills.
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Candidates with certifications - AWS, GCP, CKA, etc will be preferred
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Hands-on experience with databases (Cassandra, MongoDB, MySQL, RDS).
Experience:
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Min 3 years of experience as DevOps automation engineer buildingg, running, and maintaining production sites.
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Not looking for candidates who have experience only as L1/L2 or Build & Deploy.
Location: Remotely, anywhere in India.
Timings:
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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 that will rotate every month.
Position:
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Full time/Direct
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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.
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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.
Shubham Vishwakarma
Full Stack Developer - Averlon
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Python
Machine Learning (ML)Supercharge Your Career as a AI DevOps Engineer at Technoidentity!
At Technoidentity, we're a Data & AI product engineering company with over 15 years of expertise in building durable digital products, intelligent enterprise solutions, and scalable Data & AI platforms. As we continue expanding globally, it's the perfect time to join our team of tech innovators and make a lasting impact.
What’s in it for You?
We are looking for an AI DevOps Engineer with 0–3 years of experience who is passionate about AI, Cloud, DevOps, and Automation. The role involves building, deploying, and managing AI-powered applications, LLM solutions, and cloud-native platforms while ensuring reliability, scalability, security, and observability.
What Will You Be Doing?
- Develop and deploy AI/ML and Generative AI solutions using Python.
- Build applications leveraging LLMs, RAG, and AI agents.
- Create and maintain CI/CD pipelines for AI applications.
- Deploy and manage workloads using Docker and Kubernetes.
- Support cloud platforms (AWS, Azure, or GCP).
- Implement Infrastructure as Code (Terraform) and automation workflows.
- Monitor applications using observability tools such as Prometheus, Grafana, and logging platforms.
- Collaborate with engineering teams to ensure system reliability, performance, and security.
- Contribute to MLOps practices, AI accelerators, and reusable frameworks.
Requirements
What Makes You the Perfect Fit?
- Python programming (mandatory)
- Understanding of Machine Learning, LLMs, Prompt Engineering, and RAG
- Experience with OpenAI, LangChain, LlamaIndex, or Hugging Face
- Docker, Kubernetes, Git, and CI/CD tools
- AWS, Azure, or GCP
- PostgreSQL; MongoDB and Vector Databases are a plus
- Basic knowledge of MLOps, Terraform, and workflow orchestration tools (Airflow/Temporal)
- Familiarity with observability and monitoring tools
Qualifications
- Bachelor's degree in Computer Science, AI, Data Science, IT, or related field
- 0–3 years of experience in AI/ML, Software Engineering, Cloud, DevOps, or related areas
Nice to Have
- Experience with Agentic AI frameworks
- Knowledge of MLOps and AI platform operations
- Exposure to enterprise-grade monitoring, reliability engineering, and security best practices
KubernetesAzure DevOps Engineer
Experience
5-10 years of hands-on experience in Platform Engineering, Cloud Engineering, SRE, DevOps or Infrastructure Engineering roles.
Priority 1 – Must Have (Hands-On)
Azure Cloud Platform
· Strong hands-on experience supporting Azure workloads in production environments.
· Experience designing, building and supporting Azure infrastructure using Terraform.
· Good understanding of Azure networking and connectivity patterns.
· Experience supporting:
Ø AKS
Ø Application Gateway
Ø Azure Traffic Manager
Ø Key Vault
Ø Azure Monitor / Log Analytics
Ø Managed Identities
Ø Service Principals
Ø Private Endpoints
Ø VNets, NSGs and Route Tables
Kubernetes / AKS
- Strong practical experience operating and supporting AKS.
- Ability to troubleshoot:
Ø Pod failures
Ø Ingress issues
Ø DNS issues
Ø SSL/TLS certificate issues
Ø Network routing issues
Ø Performance and availability incidents
- Experience with:
Ø Helm
Ø Ingress Controllers
Ø Cluster upgrades
Ø Scaling
Ø Monitoring
Terraform
· Strong hands-on experience writing and maintaining Terraform.
· Experience creating reusable modules.
· Experience managing:
· State files
· Remote backends
· Environment promotion
· Infrastructure lifecycle
Linux & Scripting
· Strong Linux administration fundamentals.
· Practical experience troubleshooting production issues.
· Bash scripting mandatory.
· Python desirable.
Application Support / Troubleshooting
Must be comfortable supporting business applications end-to-end.
Priority 2 – Highly Desirable
GitHub & DevOps Platform
Hands-on experience with:
· GitHub Enterprise
· GitHub Actions
· Shared workflows
· Reusable pipelines
· Repository onboarding
· Branch protections
· GitHub security features
Experience supporting:
· Runner issues
· Disk space issues
· Network connectivity issues
· Dependency failures
· Self-hosted runners lifecycle management
API Management
Pipeline failures
GitOps
Experience with:
· ArgoCD
· GitOps deployment models
· Kubernetes deployment automation
Monitoring & Observability
Experience working with:
· Prometheus
· Grafana
· Azure Monitor
· Log Analytics
· Application Insights
Amazon Web Services (AWS)
DockerRole Overview:
We are looking for a skilled DevOps Engineer to join our team. You will be responsible for managing and automating the deployment, monitoring, and scaling of our applications, ensuring high availability, security, and performance. The ideal candidate is passionate about automation, CI/CD, and cloud infrastructure.
Key Responsibilities:
- Design, implement, and maintain CI/CD pipelines for development, testing, and production environments.
- Manage cloud infrastructure (AWS, Azure, GCP, or others) and ensure scalability, reliability, and security.
- Automate deployment, configuration management, and infrastructure provisioning using tools like Terraform, Ansible, or Chef.
- Monitor application performance and infrastructure health using tools like Prometheus, Grafana, ELK Stack, or Datadog.
- Collaborate with development and QA teams to streamline workflows and resolve deployment issues.
- Implement security best practices in pipelines, infrastructure, and cloud environments.
- Maintain version control and manage release cycles.
- Troubleshoot and resolve production issues efficiently.
Required Skills & Qualifications:
- Bachelor’s degree in Computer Science, IT, or related field.
- Proven experience in DevOps, system administration, or cloud engineering.
- Strong knowledge of CI/CD tools (Jenkins, GitLab CI/CD, CircleCI, etc.).
- Hands-on experience with containerization (Docker, Kubernetes).
- Experience with cloud platforms (AWS, Azure, or GCP).
- Scripting skills (Python, Bash, or PowerShell).
- Knowledge of infrastructure as code (Terraform, CloudFormation).
- Familiarity with monitoring and logging tools.
- Strong problem-solving, communication, and teamwork skills.
Preferred Qualifications:
- Experience with microservices architecture.
- Knowledge of networking, load balancing, and firewalls.
- Exposure to Agile/Scrum methodologies.
What We Offer:
- Competitive salary
- Flexible working hours and remote options.
- Learning and development opportunities.
- Collaborative and inclusive work environment.
KubernetesDockerAmazon Web Services (AWS)Expert troubleshooting skills.
Expertise in designing highly secure cloud services and cloud infrastructure using AWS
(EC2, RDS, S3, ECS, Route53)
Experience with DevOps tools including Docker, Ansible, Terraform.
• Experience with monitoring tools such as DataDog, Splunk.
Experience building and maintaining large scale infrastructure in AWS including
experience leveraging one or more coding languages for automation.
Experience providing 24X7 on call production support.
Understanding of best practices, industry standards and repeatable, supportable
processes.
Knowledge and working experience of container-based deployments such as Docker,
Terraform, AWS ECS.
of TCP/IP, DNS, Certs & Networking Concepts.
Knowledge and working experience of the CI/CD development pipeline and experience
of the CI/CD maturity model. (Jenkins)
Knowledge and working experience
Strong core Linux OS skills, shell scripting, python scripting.
Working experience of modern engineering operations duties, including providing the
necessary tools and infrastructure to support high performance Dev and QA teams.
Database, MySQL administration skills is a plus.
Prior work in high load and high-traffic infrastructure is a plus.
Clear vision of and commitment to providing outstanding customer service.
Amazon Web Services (AWS)JenkinsDockerKubernetesJenkinsExperience with Linux infrastructure, opensource databases (mysql, postgres etc), CI/CD tools Jenkins, Gitlab, Nexus Repository, Jira, Agile workflow and Kanban.
- Solid understanding of IP network and TCP/IP
- Minimum of 7+ years’ work experience in IT
- Minimum of 4+ years experience as DevOps Enginneer
- Good interpersonal skills and communication written and oral.
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
- Build, Deploy and Manage production workloads including applications on EC2 instance, APIs on Lambda Functions and more
- Work with IT stakeholders to monitor system performance and proactively improve the environment for scale and security
Qualifications
- Prefer to have at least 5+ years of IT experience implementing enterprise applications
- Should be AWS Solution Architect Associate Certified
- 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.
- Must have a strong understanding of EC2 instances, types and deploying applications to the cloud
- 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
- Should be experience in implementing automated patching and hardening of the systems
- Should be involved in P1 tickets and also guide team wherever needed
- Creating Backups and Managing Disaster Recovery
- Experience in using Infra as a code automation using scripts & tools like CloudFormation and Terraform
- Any exposure towards creating CI/CD pipelines on AWS using CodeBuild, CodeDeploy, etc. is an advantage
- Experience with Docker, Bitbucket, ELK and deploying applications on AWS
- Good understanding of Containerisation technologies like Docker, Kubernetes etc.
- Should be experience in using and configuring cloud monitoring tools and ITSM ticketing tools
- Good exposure to Logging & Monitoring tools like Dynatrace, Prometheus, Grafana, ELF/EFK
DockerJenkinsAmazon Web Services (AWS)Job description
The ideal candidate is a self-motivated, multi-tasker, and demonstrated team player. You will be a lead developer responsible for the development of new software security policies and enhancements to security on existing products. You should excel in working with large-scale applications and frameworks and have outstanding communication and leadership skills.
Responsibilities
- Consulting with management on the operational requirements of software solutions.
- Contributing expertise on information system options, risk, and operational impact.
- Mentoring junior software developers in gaining experience and assuming DevOps responsibilities.
- Managing the installation and configuration of solutions.
- Collaborating with developers on software requirements, as well as interpreting test stage data.
- Developing interface simulators and designing automated module deployments.
- Completing code and script updates, as well as resolving product implementation errors.
- Overseeing routine maintenance procedures and performing diagnostic tests.
- Documenting processes and monitoring performance metrics.
- Conforming to best practices in network administration and cybersecurity.
Qualifications
- Minimum of 2 years of hands-on experience in software development and DevOps, specifically managing AWS Infrastructure such as EC2s, RDS, Elastic cache, S3, IAM, cloud trail and other services provided by AWS.
- Experience Building a multi-region highly available auto-scaling infrastructure that optimises performance and cost. plan for future infrastructure as well as Maintain & optimise existing infrastructure.
- Conceptualise, architect and build automated deployment pipelines in a CI/CD environment like Jenkins.
- Conceptualise, architect and build a containerised infrastructure using Docker, Mesosphere or similar SaaS platforms.
- Conceptualise, architect and build a secured network utilising VPCs with inputs from the security team.
- Work with developers & QA to institute a policy of Continuous Integration with Automated testing Architect, build and manage dashboards to provide visibility into delivery, production application functional and performance status.
- Work with developers to institute systems, policies and workflows which allow for rollback of deployments Triage release of applications to production environment on a daily basis.
- Interface with developers and triage SQL queries that need to be executed in production environments.
- Assist the developers and on calls for other teams with post mortem, follow up and review of issues affecting production availability.
- Minimum 2 years’ experience in Ansible.
- Must have written playbook to automate provisioning of AWS infrastructure as well as automation of routine maintenance tasks.
- Must have had prior experience automating deployments to production and lower environments.
- Experience with APM tools like New Relic and log management tools.
- Our entire platform is hosted on AWS, comprising of web applications, webservices, RDS, Redis and Elastic Search clusters and several other AWS resources like EC2, S3, Cloud front, Route53 and SNS.
- Essential Functions System Architecture Process Design and Implementation
- Minimum of 2 years scripting experience in Ruby/Python (Preferable) and Shell Web Application Deployment Systems Continuous Integration tools (Ansible)Establishing and enforcing Network Security Policy (AWS VPC, Security Group) & ACLs.
- Establishing and enforcing systems monitoring tools and standards
- Establishing and enforcing Risk Assessment policies and standards
- Establishing and enforcing Escalation policies and standards
DockerKubernetesPython- Working on scalability, maintainability and reliability of company's products.
- Working with clients to solve their day-to-day challenges, moving manual processes to automation.
- Keeping systems reliable and gauging the effort it takes to reach there.
- Understanding Juxtapose tools and technologies to choose x over y.
- Understanding Infrastructure as a Code and applying software design principles to it.
- Automating tedious work using your favourite scripting languages.
- Taking code from the local system to production by implementing Continuous Integration and Delivery principles.
What you need to have:
- Worked with any one of the programming languages like Go, Python, Java, Ruby.
- Work experience with public cloud providers like AWS, GCP or Azure.
- Understanding of Linux systems and Containers
- Meticulous in creating and following runbooks and checklists
- Microservices experience and use of orchestration tools like Kubernetes/Nomad.
- Understanding of Computer Networking fundamentals like TCP, UDP.
- Strong bash scripting skills.
DockerKubernetesAmazon Web Services (AWS)Our client is a call management solutions company, which helps small to mid-sized businesses use its virtual call center to manage customer calls and queries. It is an AI and cloud-based call operating facility that is affordable as well as feature-optimized. The advanced features offered like call recording, IVR, toll-free numbers, call tracking, etc are based on automation and enhances the call handling quality and process, for each client as per their requirements. They service over 6,000 business clients including large accounts like Flipkart and Uber.
- Beng involved in Configuration Management, Web Services Architectures, DevOps Implementation, Build & Release Management, Database management, Backups, and Monitoring.
- Creating and managing CI/ CD pipelines for microservice architectures.
- Creating and managing application configuration.
- Researching and planning architectures and tools for smooth deployments.
- Logging, metrics and alerting management.
What you need to have:
- Proficient in Linux Commands line and troubleshooting.
- Proficient in designing CI/ CD pipelines using jenkins. Experience in deployment using Ansible.
- Experience in microservices architecture deployment, Hands-on experience on Docker, Kubernetes, EKS.
- Knowledge of infrastructure management tools (Infrastructure as cloud) such as terraform, AWS cloudformation etc.
- Proficient in AWS Services. Deployment, Monitoring and troubleshooting applications in AWS.
- Configuration management tools like ansible/chef/puppet.
- Proficient in deployment of applications behind load balancers and proxy servers such as nginx, apache.
- Proficient in bash scripting, python scripting is an advantage.
- Experience with Logging, Monitoring, and Alerting tools like ELK(Elastic-search, Logstash, Kibana), Nagios. Graylog, splunk Prometheus, Grafana is a plus.
- Proficient in Configuration Management.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon