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About us:
HappyFox is a software-as-a-service (SaaS) support platform. We offer an enterprise-grade help desk ticketing system and intuitively designed live chat software.
We serve over 12,000 companies in 70+ countries. HappyFox is used by companies that span across education, media, e-commerce, retail, information technology, manufacturing, non-profit, government and many other verticals that have an internal or external support function.
To know more, Visit! - https://www.happyfox.com/
Responsibilities
- Build and scale production infrastructure in AWS for the HappyFox platform and its products.
- Research, Build/Implement systems, services and tooling to improve uptime, reliability and maintainability of our backend infrastructure. And to meet our internal SLOs and customer-facing SLAs.
- Implement consistent observability, deployment and IaC setups
- Lead incident management and actively respond to escalations/incidents in the production environment from customers and the support team.
- Hire/Mentor other Infrastructure engineers and review their work to continuously ship improvements to production infrastructure and its tooling.
- Build and manage development infrastructure, and CI/CD pipelines for our teams to ship & test code faster.
- Lead infrastructure security audits
Requirements
- At least 7 years of experience in handling/building Production environments in AWS.
- At least 3 years of programming experience in building API/backend services for customer-facing applications in production.
- Proficient in managing/patching servers with Unix-based operating systems like Ubuntu Linux.
- Proficient in writing automation scripts or building infrastructure tools using Python/Ruby/Bash/Golang
- Experience in deploying and managing production Python/NodeJS/Golang applications to AWS EC2, ECS or EKS.
- Experience in security hardening of infrastructure, systems and services.
- Proficient in containerised environments such as Docker, Docker Compose, Kubernetes
- Experience in setting up and managing test/staging environments, and CI/CD pipelines.
- Experience in IaC tools such as Terraform or AWS CDK
- Exposure/Experience in setting up or managing Cloudflare, Qualys and other related tools
- Passion for making systems reliable, maintainable, scalable and secure.
- Excellent verbal and written communication skills to address, escalate and express technical ideas clearly
- Bonus points – Hands-on experience with Nginx, Postgres, Postfix, Redis or Mongo systems.
Key responsibilities
• Design, build, and maintain robust CI/CD pipelines using Azure DevOps Services (Azure Pipelines) and Git-based workflows.
• Implement and manage infrastructure as code (IaC) using ARM templates, Bicep, and/or Terraform for repeatable environment provisioning.
• Containerize applications (Docker) and manage container orchestration platforms such as AKS (Azure Kubernetes Service).
• Automate build, test, release, and rollback processes; integrate automated testing and quality gates into pipelines.
• Monitor and improve platform reliability and observability using logging and monitoring tools (e.g., Azure Monitor, Application Insights, Prometheus, Grafana).
• Drive platform security and compliance through pipeline controls, secrets management (Key Vault / Vault), and secure configuration practices.
• Implement cost-optimization and governance for Azure resources (tags, policies, budgets).
• Troubleshoot build/release failures, production incidents, and performance bottlenecks; perform root-cause analysis and implement permanent fixes.
• Mentor developers in Git workflows, pipeline authoring, best practices for IaC, and cloud-native design.
• Maintain clear documentation: runbooks, deployment playbooks, architecture diagrams, and pipeline templates.
Required skills & experience
• 5+ years hands-on experience working with Azure and cloud-native application delivery.
• Deep experience with Azure DevOps (Repos, Pipelines, Artifacts, Boards).
• Strong IaC skills with Terraform, ARM templates, or Bicep.
• Solid experience with CI/CD design and YAML pipeline authoring.
• Practical knowledge of containerization (Docker) and Kubernetes — preferably AKS.
• Scripting skills: PowerShell, Bash, and/or Python for automation.
• Experience with Git workflows (branching strategies, PRs, code reviews).
• Familiarity with configuration management and secrets management (Azure Key Vault, HashiCorp Vault).
• Understanding of networking, identity (Azure AD), and security fundamentals in Azure.
• Strong troubleshooting, debugging, and incident response skills.
• Good collaboration and communication skills; ability to work across teams.
Certification
AZ-400: Microsoft Certified: DevOps Engineer Expert or AZ-104 or AZ 305 or Terraform Associate.
Why this role exists
Our infrastructure footprint is growing faster than our headcount, and we believe most of that
gap should be closed by automation and AI agents — not by hiring more humans to do toil. We
need someone early in their career who treats manual work as a bug, ships scripts and agents
instead of tickets, and wants to grow into deeper ownership over the next two years.
You will not be the most senior person on the team. You will be the one who multiplies the team.
What you'll own
In your first 1 months
• Take ownership of one slice of our CI/CD pipeline and make it measurably
faster, more reliable, or cheaper. We expect a number on a dashboard to move.
• Build at least three internal automations that replace manual ops toil —
using AI agents (Claude Code, agentic CLIs, scripted LLM workflows) as your force
multiplier.
• Be the first responder for a defined set of alerts. Write the runbooks. Drive
the alert volume down.
• Support senior engineers on AI/ML infrastructure (GPU nodes, inference
services, model deployment) — observe, document, and gradually take on contained
changes under review.
By 3 months you should be
• The go-to person for at least two production systems.
• Shipping routine infrastructure changes without needing senior review.
• Treating "manual" as a code smell.
Required (we will reject without these)
• 0–3 years hands-on experience with one major cloud (AWS, GCP, or
Azure — one is fine, depth beats breadth).
• Fluent in Linux command line, bash, and at least one scripting language
(Python or Go preferred).
• Have shipped something to production that real users hit. A side project
counts; a graded coursework lab does not.
• Comfortable with Docker — you can explain what an image vs. a
container is and why it matters.
• Working knowledge of networking fundamentals: DNS, HTTP/HTTPS,
TLS, ports, basic subnets — enough to debug "it works on my machine."
• Git fluency: branches, merges, rebases, conflict resolution.
• CI/CD pipelines — you have authored or substantially modified pipelines
in GitHub Actions, GitLab CI, ArgoCD, Jenkins, or similar. Not just "I clicked Re-run."
• Kubernetes basics — kubectl for real work, can read pod logs,
understand deployments and services, can debug a CrashLoopBackOff without
panicking. You do not need to have run a cluster; you do need to have lived inside one.
• Active user of AI coding agents (Claude Code, Cursor, Copilot, agentic
CLIs, etc.). You should be able to walk us through specific tasks where they made you
faster, and specific tasks where they failed you and how you noticed. "I have tried it" is
not enough.
Bonus (real plus, not required)
• Infrastructure as Code: Terraform, Pulumi, or Ansible.
• Observability: Prometheus/Grafana, Datadog, OpenTelemetry, any APM.
• Have built or extended an LLM-based agent — a custom MCP server, a
scripted multi-step workflow, an internal tool that calls models in a loop. Anything beyond
chat-with-Claude.
• Exposure to GPU workloads, model serving (vLLM, Triton, TGI, etc.), or
ML pipelines.
What we don't care about
• Whether your degree is in CS — or whether you have a degree at all.
• Brand-name companies on your resume.
• Certifications. They are fine. They do not substitute for having shipped.
How we work
• We default to automation. If you do something manually twice, the third
time you script it or hand it to an agent.
• AI agents are part of the workflow, not a novelty. Expect interview
questions about exactly how you use them — and where you have caught them being
wrong.
• Small, reversible changes beat big-bang rollouts.
• Postmortems are blameless and written down.
• We push back on each other. If you only execute, you will be unhappy
here.
How to apply
Send:
• Your resume.
• A short note (≤200 words) describing one infra or automation problem you
solved, and how AI agents factored in — or did not, and why. We read these. Generic
notes get rejected.
Internal note — delete before posting externally
• Comp band, location policy, team name, and reporting line marked
[CONFIRM] need to be filled in before this goes external.
• The Required list is intentionally tight: CI/CD and Kubernetes basics
promoted from bonus. Expect this to filter ~80% of typical junior DevOps applicants. The
remaining pool will skew toward people who have actually shipped infra at a startup, not
bootcamp grads or pure cloud-cert holders.
• IaC, observability, agent-building, and GPU/ML serving stay as bonus.
Promoting any of these to required at 0–3 yrs collapses the pool to near-zero or forces
hiring senior people at junior comp. If you want IaC required, re-level this to mid (3–5
yrs) and raise the band.
• Screening implication: the resume screen should explicitly check for
CI/CD pipeline authorship and any K8s-touching production work. If neither is on the
resume, reject at screen. Do not waste interview slots.
• Pipeline watch: if fewer than ~15 qualified resumes after 2 weeks of
active sourcing, the first thing to relax is the AI-agent-fluency bar (move to bonus and
screen for it in interview instead). Do not relax the "shipped to production" requirement
— that is the load-bearing filter.
Wissen Technology is hiring for Devops engineer
Required:
-4 to 10 years of relevant experience in Devops
-Must have hands on experience on AWS, Kubernetes, CI/CD pipeline
-Good to have exposure on Github or Gitlab
-Open to work from hashtag Chennai
-Work mode will be Hybrid
Company profile:
Company Name : Wissen Technology
Group of companies in India : Wissen Technology & Wissen Infotech
Work Location - Chennai
Website : www.wissen.com
Wissen Thought leadership : https://lnkd.in/gvH6VBaU
LinkedIn: https://lnkd.in/gnK-vXjF
· Strong knowledge on Windows and Linux
· Experience working in Version Control Systems like git
· Hands-on experience in tools Docker, SonarQube, Ansible, Kubernetes, ELK.
· Basic understanding of SQL commands
· Experience working on Azure Cloud DevOps

technology based supply chain management
Bachelor's degree in information security, computer science, or related.
A Strong Devops experience of at least 4+ years
Strong Experience in Unix/Linux/Python scripting
Strong networking knowledge,vSphere networking stack knowledge desired.
Experience on Docker and Kubernetes
Experience with cloud technologies (AWS/Azure)
Exposure to Continuous Development Tools such as Jenkins or Spinnaker
Exposure to configuration management systems such as Ansible
Knowledge of resource monitoring systems
Ability to scope and estimate
Strong verbal and communication skills
Advanced knowledge of Docker and Kubernetes.
Exposure to Blockchain as a Service (BaaS) like - Chainstack/IBM blockchain platform/Oracle Blockchain Cloud/Rubix/VMWare etc.
Capable of provisioning and maintaining local enterprise blockchain platforms for Development and QA (Hyperledger fabric/Baas/Corda/ETH).
About Navis
Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe and Middle East.
Intuitive is looking for highly talented hands-on Cloud Infrastructure Architects to help accelerate our growing Professional Services consulting Cloud & DevOps practice. This is an excellent opportunity to join Intuitive’s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customers.
Job Description :
- Extensive exp. with K8s (EKS/GKE) and k8s eco-system tooling e,g., Prometheus, ArgoCD, Grafana, Istio etc.
- Extensive AWS/GCP Core Infrastructure skills
- Infrastructure/ IAC Automation, Integration - Terraform
- Kubernetes resources engineering and management
- Experience with DevOps tools, CICD pipelines and release management
- Good at creating documentation(runbooks, design documents, implementation plans )
Linux Experience :
- Namespace
- Virtualization
- Containers
Networking Experience
- Virtual networking
- Overlay networks
- Vxlans, GRE
Kubernetes Experience :
Should have experience in bringing up the Kubernetes cluster manually without using kubeadm tool.
Observability
Experience in observability is a plus
Cloud automation :
Familiarity with cloud platforms exclusively AWS, DevOps tools like Jenkins, terraform etc.

at Altimetrik
Java with cloud
|
Core Java, SpringBoot, MicroServices |
|
- DB2 or any RDBMS database application development |
|
- Linux OS, shell scripting, Batch Processing |
|
- Troubleshooting Large Scale application |
|
- Experience in automation and unit test framework is a must |
|
- AWS Cloud experience desirable |
|
- Agile Development Experience |
|
- Complete Development Cycle ( Dev, QA, UAT, Staging) |
|
- Good Oral and Written Communication Skills |
DevOps Engineer
Job Description:
The position requires a broad set of technical and interpersonal skills that includes deployment technologies, monitoring and scripting from networking to infrastructure. Well versed in troubleshooting Prod issues and should be able to drive till the RCA.
Skills:
- Manage VMs across multiple datacenters and AWS to support dev/test and production workloads.
- Strong hands-on over Ansible is preferred
- Strong knowledge and hands-on experience in Kubernetes Architecture and administration.
- Should have core knowledge in Linux and System operations.
- Proactively and reactively resolve incidents as escalated from monitoring solutions and end users.
- Conduct and automate audits for network and systems infrastructure.
- Do software deployments, per documented processes, with no impact to customers.
- Follow existing devops processes while having flexibility to create and tweak processes to gain efficiency.
- Troubleshoot connectivity problems across network, systems or applications.
- Follow security guidelines, both policy and technical to protect our customers.
- Ability to automate recurring tasks to increase velocity and quality.
- Should have worked on any one of the Database (Postgres/Mongo/Cockroach/Cassandra)
- Should have knowledge and hands-on experience in managing ELK clusters.
- Scripting Knowledge in Shell/Python is added advantage.
- Hands-on Experience over K8s based Microservice Architecture is added advantage.
We are hiring candidates who are looking to work in a cloud environment and ready to learn and adapt to the evolving technologies.
Linux Administrator Roles & Responsibilities:
- 5+ or more years of professional experience with strong working expertise in Agile environments
- Deep knowledge in managing Linux servers.
- Managing Windows servers(Not Mandatory).
- Manage Web servers (Apache, Nginx).
- Manage Application servers.
- Strong background & experience in any one scripting language (Bash, Python)
- Manage firewall rules.
- Perform root cause analysis for production errors.
- Basic administration of MySQL, MSSQL.
- Ready to learn and adapt to business requirements.
- Manage information security controls with best practises and processes.
- Support business requirements beyond working hours.
- Ensuring highest uptimes of the services.
- Monitoring resource usages.
Skills/Requirements
- Bachelor’s Degree or Diploma in Computer Science, Engineering, Software Engineering or a relevant field.
- Experience with Linux-based infrastructures, Linux/Unix administration.
- Knowledge in managing databases such as My SQL, MS SQL.
- Knowledge of scripting languages such as Python, Bash.
- Knowledge in open-source technologies and cloud services like AWS, Azure is a plus. Candidates willing to learn will be preferred.
- Experience in managing web applications.
- Problem-solving attitude.
- 5+ years experience in the IT industry.
- Expertise in Infrastructure & Application design & architecture
- Expertise in AWS, OS & networking
- Having good exposure on Infra & Application security
- Expertise in Python, Shell scripting
- Proficient with Devops tools Terraform, Jenkins, Ansible, Docker, GIT
- Solid background in systems engineering and operations
- Strong in Devops methodologies and processes
- Strong in CI/CD pipeline & SDLC.



