11+ Postfix Jobs in Chennai | Postfix Job openings in Chennai

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.

Job Title : IBM Sterling Integrator Developer

Experience : 3 to 5 Years

Locations : Hyderabad, Bangalore, Mumbai, Gurgaon, Chennai, Pune

Employment Type : Full-Time

Job Description :

We are looking for a skilled IBM Sterling Integrator Developer with 3–5 years of experience to join our team across multiple locations.

The ideal candidate should have strong expertise in IBM Sterling and integration, along with scripting and database proficiency.

Key Responsibilities :

• Develop, configure, and maintain IBM Sterling Integrator solutions.
• Design and implement integration solutions using IBM Sterling.
• Collaborate with cross-functional teams to gather requirements and provide solutions.
• Work with custom languages and scripting to enhance and automate integration processes.
• Ensure optimal performance and security of integration systems.

Must-Have Skills :

• Hands-on experience with IBM Sterling Integrator and associated integration tools.
• Proficiency in at least one custom scripting language.
• Strong command over Shell scripting, Python, and SQL (mandatory).
• Good understanding of EDI standards and protocols is a plus.

Interview Process :

• 2 Rounds of Technical Interviews.

Additional Information :

• Open to candidates from Hyderabad, Bangalore, Mumbai, Gurgaon, Chennai, and Pune.

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.

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

• 4+ 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.

Greetings!

Wissen Technology is hiring for Kubernetes Lead/Admin.

Required:

• 7+ years of relevant experience in Kubernetes
• Must have hands on experience on Implementation, CI/CD pipeline, EKS architecture, ArgoCD & Statefulset services.
• Good to have exposure on scripting languages
• Should be open to work from Chennai
• Work mode will be Hybrid

Company profile:

Company Name : Wissen Technology

Group of companies in India : Wissen Technology & Wissen Infotech

Work Location - Bangalore

Website : www.wissen.com

Wissen Thought leadership : https://www.wissen.com/articles/

LinkedIn: https://www.linkedin.com/company/wissen-technology

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

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

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.