Lead IaC Engineer at Wissen Technology · Bengaluru (Bangalore) · 7 - 10 years · Profitable · Posted 3 Jul 2025

Key Responsibilities:
· Lead the design and implementation of scalable infrastructure using IaC principles.
· Develop and manage configuration management tools primarily with Chef.
· Write and maintain automation scripts in Python to streamline infrastructure tasks.
· Build, manage, and version infrastructure using Terraform.
· Collaborate with cloud architects and DevOps teams to ensure highly available, secure, and scalable systems.
· Provide guidance and mentorship to junior engineers.
· Monitor infrastructure performance and provide optimization recommendations.
· Ensure compliance with best practices for security, governance, and automation.
· Maintain and improve CI/CD pipelines with infrastructure integration.
· Support incident management, troubleshooting, and root cause analysis for infrastructure issues.
Required Skills & Experience:
· Strong hands-on experience in:
o Chef (Cookbooks, Recipes, Automation)
o Python (Scripting, automation tasks, REST APIs)
o Terraform (Modules, state management, deployments)
· Experience in AWS services (EC2, VPC, IAM, S3, etc.)
· Familiarity with Windows administration and automation.
· Solid understanding of CI/CD processes, infrastructure lifecycle, and Git-based workflow

About Wissen Technology
About
The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains.
With offices in US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services.
We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!).
Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world.
Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.
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What you will do?
- Lead the design and implementation of infrastructure for a large-scale VMware-to-AWS migration — from discovery through production cutover.
- Architect and build secure, scalable, and highly available AWS environments, including Landing Zones that follow AWS best practices.
- Design and implement containerized application platforms on Amazon EKS; exposure to ECS is a plus.
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- Enable configuration management using tools such as Ansible, Chef, or similar.
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- Provide L3-level support for complex infrastructure and platform issues.
- Work with stakeholders on technical strategy and long-term architecture.
- Mentor engineers, contribute to talent evaluation, and support team development.
What are we looking for?
- 6+ years of hands-on DevOps experience, with strong expertise in designing and managing cloud infrastructure.
- Strong experience in VMware-to-AWS migration projects or large-scale infrastructure migrations.
- 4+ years of Terraform and CloudFormation for Infrastructure as Code (IaC).
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- Solid Linux and/or Windows administration background.
- Deep understanding of AWS services, including VPC, EC2, IAM, EKS, ECS, RDS, S3, Backup, CloudWatch, etc.
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You will be preferred if
- Experience across multiple cloud platforms (AWS, Azure, GCP).
- AWS certifications such as Solutions Architect Associate/Professional or DevOps Engineer Professional.
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Key Responsibilities
- Automate application deployments from Bitbucket to servers using CI/CD pipelines.
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- Implement Infrastructure as Code using Terraform, CloudFormation, or Ansible.
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Required Skills
- 3+ years of experience in DevOps or a similar role.
- Strong knowledge of AWS beyond EC2.
- Hands-on experience with Jenkins or similar CI/CD tools.
- Experience with Docker and Kubernetes.
- Good understanding of Terraform/IaC and automation.
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- Knowledge of DevSecOps, security, and compliance best practices.
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Job Title : DevOps Engineer / Site Reliability Engineer (SRE)
Experience : 5+ Years
Location : Gurugram, Haryana
Work Mode : On-site (Full-time)
About the Role :
We are looking for a skilled DevOps Engineer with 5+ years of experience in cloud infrastructure, CI/CD, automation, Kubernetes, and Site Reliability Engineering (SRE). The ideal candidate will be responsible for building scalable cloud infrastructure, automating deployments, improving system reliability, and ensuring high availability across production environments.
Mandatory Skills :
AWS, Terraform, Ansible, CloudFormation, Jenkins, GitLab CI, GitHub Actions, Docker, Kubernetes, Helm, Python, Bash, Grafana, Prometheus, ELK Stack, CloudWatch, New Relic, SRE, CI/CD, Infrastructure as Code (IaC), Linux
Key Responsibilities :
- Design, deploy, and manage cloud infrastructure primarily on AWS (EC2, VPC, IAM, S3, RDS, Route53, ALB, Auto Scaling, Lambda).
- Build and maintain Infrastructure as Code (IaC) using Terraform, Ansible, and CloudFormation.
- Develop and optimize CI/CD pipelines using Jenkins, GitLab CI, and GitHub Actions.
- Deploy and manage containerized applications using Docker, Kubernetes, and Helm.
- Implement monitoring and observability using Grafana, Prometheus, ELK Stack, CloudWatch, and New Relic.
- Drive SRE practices by defining SLIs, SLOs, SLAs, handling production incidents, conducting RCA, and improving system reliability.
- Automate operational tasks using Python, Bash, and Groovy scripting.
- Collaborate with Development, QA, Security, and Operations teams to ensure reliable and secure software delivery.
Required Skills & Qualifications :
- Bachelor's degree in Computer Science, IT, Electronics, or a related field.
- 5+ years of experience in DevOps, SRE, or Cloud Infrastructure.
- Strong expertise in AWS, with exposure to Azure/GCP.
- Hands-on experience with Terraform, Ansible, CloudFormation, Docker, Kubernetes, Helm, Jenkins, GitLab CI, GitHub Actions, and Git.
- Strong scripting skills in Python and Bash.
- Experience with monitoring tools such as Grafana, Prometheus, ELK Stack, CloudWatch, and New Relic.
- Good understanding of Linux, networking, SQL, and cloud security best practices.
Preferred Skills :
- Experience with multi-cloud environments and DevSecOps practices.
- Knowledge of disaster recovery, automation, and microservices architecture.
- Strong troubleshooting, communication, and problem-solving skills.
Job Title: DevOps Manager
Experience: 8+ Years
Location: Pune
Employment Type: Full-time
About the Role
We are looking for an experienced DevOps Manager with strong hands-on technical expertise and leadership capabilities to manage cloud infrastructure, automation, CI/CD, deployments, and platform reliability. The ideal candidate should have strong experience in Shell Scripting, cloud platforms, Kubernetes, Terraform, and production DevOps environments.
Key Responsibilities
• Lead and mentor the DevOps engineering team.
• Design, implement, and optimize CI/CD pipelines and deployment processes.
• Manage scalable and highly available cloud infrastructure across AWS / Azure / GCP.
• Drive Infrastructure as Code (IaC) using Terraform and configuration automation using Ansible.
• Manage Docker and Kubernetes based environments.
• Develop and maintain automation scripts using Shell/Bash Scripting and Python.
• Implement monitoring, logging, alerting, and observability.
• Handle production incidents, troubleshooting, root cause analysis, and preventive actions.
• Drive infrastructure security, performance, scalability, and cloud cost optimization.
• Collaborate with Development, QA, Security, Architecture, and Delivery teams.
Required Skills & Qualifications
• 8+ years of experience in DevOps, Cloud Engineering, Platform Engineering, or related roles.
• Strong hands-on experience in Shell / Bash Scripting.
• Experience with AWS / Azure / GCP cloud platforms.
• Strong knowledge of CI/CD tools such as Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps.
• Hands-on experience with Docker, Kubernetes, and Helm.
• Strong experience with Terraform and Ansible.
• Experience with Linux administration, Git, networking, IAM, and cloud security.
• Experience with monitoring tools such as Prometheus, Grafana, ELK, or equivalent.
• Strong troubleshooting, communication, stakeholder management, and team leadership skills.
Preferred Skills (Nice to Have)
• Python scripting experience.
• Cloud / Kubernetes / Terraform certifications.
• Experience with SRE, observability, high-availability architecture, and cloud cost optimization.
We are seeking a highly skilled Senior DevOps Engineer with 8+ years of professional experience to join our team. In this role, you will design, implement, and optimize cloud infrastructure and CI/CD processes.
You will collaborate closely with development, QA, and operations teams to deliver scalable, secure, automated, and reliable solutions on AWS.
The ideal candidate will have strong hands-on experience with AWS, Terraform, Git/GitHub, Jenkins, PowerShell, Python, AWS Systems Manager (SSM) Documents, and Active Directory (AD) administration, along with a passion for automation, efficiency, and operational excellence.
Key Responsibilities
- Design, build, and maintain scalable cloud infrastructure on AWS.
- Develop and manage Infrastructure as Code (IaC) using Terraform.
- Build, maintain, and optimize CI/CD pipelines using Jenkins and GitHub.
- Use AWS Systems Manager (SSM) to support operational automation and system administration.
- Automate system tasks and administrative workflows using PowerShell and other scripting languages.
- Create, maintain, and execute custom SSM Documents for configuration management, patching, automation, and troubleshooting.
- Manage and administer Active Directory (AD), including users, groups, permissions, policies, authentication, and integration with AWS services.
- Implement and manage version-control workflows in Git and GitHub.
- Ensure infrastructure and deployment processes follow best practices for security, reliability, scalability, and cost optimization.
- Monitor and troubleshoot production systems to ensure high availability, performance, and reliability.
- Collaborate with development teams to improve software delivery processes and release management.
- Mentor junior engineers and contribute to the development of DevOps standards and best practices.
Required Skills and Experience
- 8+ years of professional experience, including at least 4 years in DevOps or Site Reliability Engineering (SRE) roles.
- Strong hands-on experience with AWS services, including EC2, VPC, IAM, S3, EKS, Lambda, and related services.
- Proven expertise in Terraform for Infrastructure as Code.
- Experience administering both Linux and Windows operating systems.
- Experience designing and managing CI/CD pipelines using Jenkins and GitHub.
- Proficiency with Git workflows and source-code management best practices.
- Strong PowerShell scripting skills; familiarity with Python and/or Bash is a plus.
- Experience with AWS Systems Manager (SSM), including creating and managing SSM Documents.
- Hands-on experience managing Active Directory, including users, groups, policies, authentication, permissions, and AWS integration.
- Solid understanding of cloud networking, security, monitoring, and troubleshooting.
- Excellent problem-solving, communication, collaboration, and decision-making skills.
Nice-to-Have Skills
- Experience with containerization and orchestration technologies, such as Docker, Kubernetes, and Amazon EKS.
- Knowledge of monitoring and observability tools, such as Amazon CloudWatch, New Relic, and Sumo Logic.
- An AWS certification, such as AWS Certified DevOps Engineer – Professional or AWS Certified Solutions Architect.
Who You Are
- You are eager to learn new technologies and continuously improve your skills.
- You make sound decisions and take ownership of your work.
- You are proactive, self-motivated, and comfortable taking initiative.
- You are a strong communicator who enjoys collaborating with cross-functional teams.
- You are committed to improving processes, automation, reliability, and operational efficiency.
The Role
As a **DevOps Engineer** you'll own the infrastructure and delivery backbone that
keeps our platform running as we grow. You'll build the CI/CD, cloud infrastructure, and
observability that let a small, fast-moving team ship confidently — and you'll keep our AI and
data workloads reliable and affordable at scale.
This is a hands-on role with real ownership: you won't be maintaining someone else's setup,
you'll be shaping ours. You'll work closely with the backend, AI/ML, and data teams to make
deployment boring, incidents rare, and scaling a non-event. ---
What You'll Own
**CI/CD & developer experience**
- Build and maintain fast, reliable CI/CD pipelines so engineers ship multiple times a day with
confidence. - Make the path from commit to production simple, safe, and repeatable, with sensible
automated testing, rollbacks, and release controls.
**Cloud infrastructure & IaC** - Own our cloud infrastructure (AWS/GCP) end to end, managed as code (Terraform or
similar) — no click-ops. - Design for scale and cost-efficiency as store and conversation volumes grow.
**Containers & orchestration** - Run our services on containers/Kubernetes: deployments, autoscaling, networking, and
resource management. - Support the specific needs of AI/ML workloads, including GPU-backed inference and batch
processing for the speech pipeline.
**Reliability & observability (SRE)** - Own uptime, performance, and incident response — monitoring, logging, tracing, alerting,
on-call, and blameless postmortems. - Define and defend SLOs; keep the platform dependable as it scales across clients.
**Data & pipeline infrastructure** - Support the infrastructure behind large-scale, edge-to-cloud data movement and
processing (audio ingestion, ASR/AI pipelines, analytics). - Keep data workloads reliable, performant, and cost-aware.
**Security & compliance** - Bake security into the platform: secrets management, IAM/least-privilege, encryption in
transit and at rest, network hardening, and vulnerability management. - Support compliance readiness (including India's DPDP Act and enterprise-client security
requirements) for a product that handles sensitive customer conversations.
**Cost & scale** - Own cloud cost visibility and optimization; make scaling decisions that balance reliability
and spend. ---
What You'll Bring - 6+ years in DevOps, SRE, platform, or infrastructure engineering, running production
systems at meaningful scale. - Strong hands-on experience with a major cloud provider (**AWS or Azure or GCP**) and
Infrastructure-as-Code (**Terraform** or equivalent). - Solid experience with **containers and Kubernetes** in production. - Experience building and owning **CI/CD** pipelines (e.g. GitHub Actions, GitLab CI,
Jenkins, Argo, or similar).
- Comfort with a scripting/automation language (Python, Go, or Bash) and a strong
automation-first mindset. - Real experience with **observability** (Prometheus/Grafana, ELK, Datadog,
OpenTelemetry, or similar) and running incident response / on-call. - A security-conscious approach — secrets, IAM, encryption, and least-privilege as defaults. - Startup temperament: ownership, pragmatism, and a bias to automate and ship. - Based in or willing to relocate to Bangalore, and up for an onsite/hybrid, in-person team.
Bonus Points - Experience running **ML/AI or GPU workloads** in production (inference serving, batch
pipelines, model deployment). - Experience with data-intensive infrastructure — streaming/queues (Kafka, SQS), data
pipelines, or large object/audio storage. - Exposure to **edge devices / IoT fleets**, OTA updates, or high-volume device-to-cloud
ingestion. - Experience with compliance/security frameworks (SOC 2, ISO 27001, DPDP). - FinOps / cloud cost-optimization experience. - Early-stage startup experience. ---
Why Join - Own infrastructure that's already live with leading retail brands and growing fast — real
scale, real impact. - Work across genuinely interesting workloads: speech AI, GPU inference, large-scale data,
and edge-to-cloud ingestion. - Small team, high ownership, direct line to engineering leadership — your decisions ship. - Build the platform foundation of a category-defining product from an
As a DevOps Engineer at YOYO, you'll own the infrastructure and delivery backbone that keeps our platform running as we grow. You'll build the CI/CD, cloud infrastructure, and observability that let a small, fast-moving team ship confidently and you'll keep our AI and data workloads reliable and affordable at scale. This is a hands-on role with real ownership: you won't be maintaining someone else's setup, you'll be shaping ours. You'll work closely with the backend, AI/ML, and data teams to make deployment boring, incidents rare, and scaling a non-event.
If you are Interested DM me on LinkedIn - Saquib Mundagnur
What You'll Own
CI/CD & developer experience - Build and maintain fast, reliable CI/CD pipelines so engineers ship multiple times a day with confidence. - Make the path from commit to production simple, safe, and repeatable, with sensible automated testing, rollbacks, and release controls.Cloud infrastructure & IaC - Own our cloud infrastructure (AWS/GCP) end to end, managed as code (Terraform or similar) — no click-ops. - Design for scale and cost-efficiency as store and conversation volumes grow.
Containers & orchestration - Run our services on containers/Kubernetes: deployments, autoscaling, networking, and resource management. - Support the specific needs of AI/ML workloads, including GPU-backed inference and batch processing for the speech pipeline.
Reliability & observability (SRE) - Own uptime, performance, and incident response — monitoring, logging, tracing, alerting, on-call, and blameless postmortems. - Define and defend SLOs; keep the platform dependable as it scales across clients.
Data & pipeline infrastructure - Support the infrastructure behind large-scale, edge-to-cloud data movement and processing (audio ingestion, ASR/AI pipelines, analytics). - Keep data workloads reliable, performant, and cost-aware.
Security & compliance - Bake security into the platform: secrets management, IAM/least-privilege, encryption in transit and at rest, network hardening, and vulnerability management. - Support compliance readiness (including India's DPDP Act and enterprise-client security requirements) for a product that handles sensitive customer conversations.
Cost & scale - Own cloud cost visibility and optimization; make scaling decisions that balance reliability and spend.
What You'll Bring - 6+ years in DevOps, SRE, platform, or infrastructure engineering, running production systems at meaningful scale.
- Strong hands-on experience with a major cloud provider (**AWS or Azure or GCP**) and Infrastructure-as-Code (**Terraform** or equivalent).
- Solid experience with **containers and Kubernetes** in production. - Experience building and owning **CI/CD** pipelines (e.g. GitHub Actions, GitLab CI, Jenkins, Argo, or similar).
- Comfort with a scripting/automation language (Python, Go, or Bash) and a strong automation-first mindset.
- Real experience with **observability** (Prometheus/Grafana, ELK, Datadog, OpenTelemetry, or similar) and running incident response / on-call.
- A security-conscious approach — secrets, IAM, encryption, and least-privilege as defaults. - Startup temperament: ownership, pragmatism, and a bias to automate and ship. - Based in or willing to relocate to Bangalore, and up for an onsite/hybrid, in-person team
Job Summary :
We are looking for a proactive and skilled DevOps Engineer to join our team and play a key role in building, managing, and scaling infrastructure for high-performance systems. The ideal candidate will have hands-on experience with Kubernetes, Docker, Python scripting, cloud platforms, and DevOps practices around CI/CD, monitoring, and incident response.
Key Responsibilities :
- Design, build, and maintain scalable, reliable, and secure infrastructure on cloud platforms such as AWS.
- Implement Infrastructure as Code (IaC) using tools like Terraform, Cloud Formation, or similar.
- Manage Kubernetes clusters, configure namespaces, services, deployments, and auto scaling. CI/CD & Release Management
- Build and optimize CI/CD pipelines for automated testing, building, and deployment of services.
- Collaborate with developers to ensure smooth and frequent deployments to production.
- Manage versioning and rollback strategies for critical deployments.
- Containerization & Orchestration using Kubernetes.
- Containerize applications using Docker, and manage them using Kubernetes.
- Write automation scripts using Python or Shell for infrastructure tasks, monitoring, and deployment flows.
- Develop utilities and tools to enhance operational efficiency and reliability.
- Monitoring & Incident Management
- Analyze system performance and implement infrastructure scaling strategies based on load and usage trends.
- Optimize application and system performance through proactive monitoring and configuration tuning.
Desired Skills and Experience :
- Experience Required - 6+ yrs.
- Hands-on experience on cloud services like AWS, EKS etc.
- Ability to design a good cloud solution.
- Strong Linux troubleshooting, Shell Scripting, Kubernetes, Docker, Ansible, Jenkins Skills.
- Design and implement the CI/CD pipeline following the best industry practices using open-source tools.
- Use knowledge and research to constantly modernize our applications and infrastructure stacks.
- Be a team player and strong problem-solver to work with a diverse team.
- Having good communication skills.
Job Description:
- Infrastructure Management: Design, implement, and manage scalable, reliable, and secure cloud infrastructure using AWS, GCP, and/or Azure.
- CI/CD Pipelines: Develop and maintain continuous integration and continuous deployment (CI/CD) pipelines to streamline the development lifecycle.
- Automation: Automate infrastructure provisioning, configuration management, and application deployment processes.
- Monitoring and Performance: Implement monitoring, logging, and alerting solutions to ensure system health, performance, and reliability.
- Security: Ensure the security of cloud infrastructure and applications, including identity management and compliance with industry standards.
- Collaboration: Work closely with client and development teams to integrate DevOps practices and deliver high-quality software.
- Documentation: Maintain comprehensive documentation of infrastructure, configurations, and processes.
- Innovation: Stay current with emerging technologies and industry trends, integrating them into the DevOps strategy as appropriate.
Qualifications:
- Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
- Experience: 7 - 10 years of overall experience with relevant experience of at least 7 years in DevOps and served as a lead or senior engineer.
We are looking for a hands-on Senior AWS Cloud Engineer to lead the infrastructure build, optimization, automation, and production deployment of a Multi-Agent AI Chatbot Platform hosted on AWS. The development environment is already in place, and the successful candidate will drive the solution through testing, integrations, and production go-live.
Key Responsibilities
- Review, validate, and optimize existing Terraform code and AWS infrastructure.
- Establish and manage integrations with enterprise platforms such as ServiceNow, Workday, and other third-party systems.
- Design, build, and support secure, scalable, and highly available AWS environments.
- Implement and automate CI/CD pipelines and Infrastructure-as-Code practices.
- Lead infrastructure testing, performance tuning, and production readiness activities.
- Drive deployment and operationalization of the platform in the Production environment.
- Implement cloud governance, security, monitoring, and FinOps best practices.
- Troubleshoot and resolve complex cloud infrastructure issues.
Required Skills & Experience
- 10+ years of IT experience with strong expertise in AWS Cloud Engineering.
- Proven experience designing, deploying, and managing AWS production environments.
- Strong hands-on experience with Terraform and Infrastructure-as-Code.
- Experience with CI/CD pipeline automation and DevOps practices.
- Expertise in AWS services including VPC, IAM, EC2, S3, Lambda, CloudWatch, and networking.
- Experience in performance optimization, reliability, and cloud cost management (FinOps).
- Strong scripting and automation skills.
- Experience integrating enterprise applications through APIs and secure connectivity patterns.






