

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.
Connect with the team
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Location: Remote (India only)
About Certa At Certa, we’re revolutionizing process automation for top-tier companies, including Fortune 500 and Fortune 1000 leaders, from the heart of Silicon Valley. Our mission? Simplifying complexity through cutting-edge SaaS solutions. Join our thriving, global team and become a key player in a startup environment that champions innovation, continuous learning, and unlimited growth. We offer a fully remote, flexible workspace that empowers you to excel.
Role Overview
Ready to elevate your DevOps career by shaping the backbone of a fast-growing SaaS platform? As a Senior DevOps Engineer at Certa, you’ll lead the charge in building, automating, and optimizing our cloud infrastructure. Beyond infrastructure management, you’ll actively contribute with a product-focused mindset, understanding customer requirements, collaborating closely with product and engineering teams, and ensuring our AWS-based platform consistently meets user needs and business goals.
What You’ll Do
- Own SaaS Infrastructure: Design, architect, and maintain robust, scalable AWS infrastructure, enhancing platform stability, security, and performance.
- Orchestrate with Kubernetes: Utilize your advanced Kubernetes expertise to manage and scale containerized deployments efficiently and reliably.
- Collaborate on Enterprise Architecture: Align infrastructure strategies with enterprise architectural standards, partnering closely with architects to build integrated solutions.
- Drive Observability: Implement and evolve sophisticated monitoring and observability solutions (DataDog, ELK Stack, AWS CloudWatch) to proactively detect, troubleshoot, and resolve system anomalies.
- Lead Automation Initiatives: Champion an automation-first mindset across the organization, streamlining development, deployment, and operational workflows.
- Implement Infrastructure as Code (IaC): Master Terraform to build repeatable, maintainable cloud infrastructure automation.
- Optimize CI/CD Pipelines: Refine and manage continuous integration and deployment processes (currently GitHub Actions, transitioning to CircleCI), enhancing efficiency and reliability.
- Enable GitOps with ArgoCD: Deliver seamless GitOps-driven application deployments, ensuring accuracy and consistency in Kubernetes environments.
- Advocate for Best Practices: Continuously promote and enforce industry-standard DevOps practices, ensuring consistent, secure, and efficient operational outcomes.
- Innovate and Improve: Constantly evaluate and enhance current DevOps processes, tooling, and methodologies to maintain cutting-edge efficiency.
- Product Mindset: Actively engage with product and engineering teams, bringing infrastructure expertise to product discussions, understanding customer needs, and helping prioritize infrastructure improvements that directly benefit users and business objectives.
What You Bring
- Hands-On Experience: 3-5 years in DevOps roles, ideally within fast-paced SaaS environments.
- Kubernetes Mastery: Advanced knowledge and practical experience managing Kubernetes clusters and container orchestration.
- AWS Excellence: Comprehensive expertise across AWS services, infrastructure management, and security.
- IaC Competence: Demonstrated skill in Terraform for infrastructure automation and management.
- CI/CD Acumen: Proven proficiency managing pipelines with GitHub Actions; familiarity with CircleCI highly advantageous.
- GitOps Knowledge: Experience with ArgoCD for effective continuous deployment and operations.
- Observability Skills: Strong capabilities deploying and managing monitoring solutions such as DataDog, ELK, and AWS CloudWatch.
- Python Automation: Solid scripting and automation skills using Python.
- Architectural Awareness: Understanding of enterprise architecture frameworks and alignment practices.
- Proactive Problem-Solving: Exceptional analytical and troubleshooting skills, adept at swiftly addressing complex technical challenges.
- Effective Communication: Strong interpersonal and collaborative skills, essential for remote, distributed teamwork.
- Product Focus: Ability and willingness to understand customer requirements, prioritize tasks that enhance product value, and proactively suggest infrastructure improvements driven by user needs.
- Startup Mindset (Bonus): Prior experience or enthusiasm for dynamic startup cultures is a distinct advantage.
Why Join Us
- Compensation: Top-tier salary and exceptional benefits.
- Work-Life Flexibility: Fully remote, flexible scheduling.
- Growth Opportunities: Accelerate your career in a company poised for significant growth.
- Innovative Culture: Engineering-centric, innovation-driven work environment.
- Team Events: Annual offsites and quarterly Hackerhouse.
- Wellness & Family: Comprehensive healthcare and parental leave.
- Workspace: Premium workstation setup allowance, providing the tech you need to succeed.
Role : Principal Devops Engineer
About the Client
It is a Product base company that has to build a platform using AI and ML technology for their transportation and logiticsThey also have a presence in the global market
Responsibilities and Requirements
• 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 skill
Responsibilities:
- Design, implement, and maintain cloud infrastructure solutions on Microsoft Azure, with a focus on scalability, security, and cost optimization.
- Collaborate with development teams to streamline the deployment process, ensuring smooth and efficient delivery of software applications.
- Develop and maintain CI/CD pipelines using tools like Azure DevOps, Jenkins, or GitLab CI to automate build, test, and deployment processes.
- Utilize infrastructure-as-code (IaC) principles to create and manage infrastructure deployments using Terraform, ARM templates, or similar tools.
- Manage and monitor containerized applications using Azure Kubernetes Service (AKS) or other container orchestration platforms.
- Implement and maintain monitoring, logging, and alerting solutions for cloud-based infrastructure and applications.
- Troubleshoot and resolve infrastructure and deployment issues, working closely with development and operations teams.
- Ensure high availability, performance, and security of cloud infrastructure and applications.
- Stay up-to-date with the latest industry trends and best practices in cloud infrastructure, DevOps, and automation.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).
- Minimum of four years of proven experience working as a DevOps Engineer or similar role, with a focus on cloud infrastructure and deployment automation.
- Strong expertise in Microsoft Azure services, including but not limited to Azure Virtual Machines, Azure App Service, Azure Storage, Azure Networking, Azure Security, and Azure Monitor.
- Proficiency in infrastructure-as-code (IaC) tools such as Terraform or ARM templates.
- Hands-on experience with containerization and orchestration platforms, preferably Azure Kubernetes Service (AKS) or Docker Swarm.
- Solid understanding of CI/CD principles and experience with relevant tools such as Azure DevOps, Jenkins, or GitLab CI.
- Experience with scripting languages like PowerShell, Bash, or Python for automation tasks.
- Strong problem-solving and troubleshooting skills with a proactive and analytical mindset.
- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
- Azure certifications (e.g., Azure Administrator, Azure DevOps Engineer, Azure Solutions Architect) are a plus.
- 5+ years of experience in DevOps including automated system configuration, application deployment, and infrastructure-as-code.
- Advanced Linux system administration abilities.
- Real-world experience managing large-scale AWS or GCP environments. Multi-account management a plus.
- Experience with managing production environments on AWS or GCP.
- Solid understanding CI/CD pipelines using GitHub, CircleCI/Jenkins, JFrog Artifactory/Nexus.
- Experience on any configuration management tools like Ansible, Puppet or Chef is a must.
- Experience in any one of the scripting languages: Shell, Python, etc.
- Experience in containerization using Docker and orchestration using Kubernetes/EKS/GKE is a must.
- Solid understanding of SSL and DNS.
- Experience on deploying and running any open-source monitoring/graphing solution like Prometheus, Grafana, etc.
- Basic understanding of networking concepts.
- Always adhere to security best practices.
- Knowledge on Bigdata (Hadoop/Druid) systems administration will be a plus.
- Knowledge on managing and running DBs (MySQL/MariaDB/Postgres) will be an added advantage.
What you get to do
- Work with development teams to build and maintain cloud environments to specifications developed closely with multiple teams. Support and automate the deployment of applications into those environments
- Diagnose and resolve occurring, latent and systemic reliability issues across entire stack: hardware, software, application and network. Work closely with development teams to troubleshoot and resolve application and service issues
- Continuously improve Conviva SaaS services and infrastructure for availability, performance and security
- Implement security best practices – primarily patching of operating systems and applications
- Automate everything. Build proactive monitoring and alerting tools. Provide standards, documentation, and coaching to developers.
- Participate in 12x7 on-call rotations
- Work with third party service/support providers for installations, support related calls, problem resolutions etc.

" Skills : Strong experience in Ansible, Cloud, Linux, Python or Shell or Bash scripting
" Experience : 3 - 6 Years
" Location : Bangalore
Good to have cloud skills - Docker / Kubernetes
Scripting skills - Any of Shell / Perl/ bash/Python
Good to have Terraform



About the job
Our goal
We are reinventing the future of MLOps. Censius Observability platform enables businesses to gain greater visibility into how their AI makes decisions to understand it better. We enable explanations of predictions, continuous monitoring of drifts, and assessing fairness in the real world. (TLDR build the best ML monitoring tool)
The culture
We believe in constantly iterating and improving our team culture, just like our product. We have found a good balance between async and sync work default is still Notion docs over meetings, but at the same time, we recognize that as an early-stage startup brainstorming together over calls leads to results faster. If you enjoy taking ownership, moving quickly, and writing docs, you will fit right in.
The role:
Our engineering team is growing and we are looking to bring on board a senior software engineer who can help us transition to the next phase of the company. As we roll out our platform to customers, you will be pivotal in refining our system architecture, ensuring the various tech stacks play well with each other, and smoothening the DevOps process.
On the platform, we use Python (ML-related jobs), Golang (core infrastructure), and NodeJS (user-facing). The platform is 100% cloud-native and we use Envoy as a proxy (eventually will lead to service-mesh architecture).
By joining our team, you will get the exposure to working across a swath of modern technologies while building an enterprise-grade ML platform in the most promising area.
Responsibilities
- Be the bridge between engineering and product teams. Understand long-term product roadmap and architect a system design that will scale with our plans.
- Take ownership of converting product insights into detailed engineering requirements. Break these down into smaller tasks and work with the team to plan and execute sprints.
- Author high-quality, highly-performance, and unit-tested code running on a distributed environment using containers.
- Continually evaluate and improve DevOps processes for a cloud-native codebase.
- Review PRs, mentor others and proactively take initiatives to improve our team's shipping velocity.
- Leverage your industry experience to champion engineering best practices within the organization.
Qualifications
Work Experience
- 3+ years of industry experience (2+ years in a senior engineering role) preferably with some exposure in leading remote development teams in the past.
- Proven track record building large-scale, high-throughput, low-latency production systems with at least 3+ years working with customers, architecting solutions, and delivering end-to-end products.
- Fluency in writing production-grade Go or Python in a microservice architecture with containers/VMs for over 3+ years.
- 3+ years of DevOps experience (Kubernetes, Docker, Helm and public cloud APIs)
- Worked with relational (SQL) as well as non-relational databases (Mongo or Couch) in a production environment.
- (Bonus: worked with big data in data lakes/warehouses).
- (Bonus: built an end-to-end ML pipeline)
Skills
- Strong documentation skills. As a remote team, we heavily rely on elaborate documentation for everything we are working on.
- Ability to motivate, mentor, and lead others (we have a flat team structure, but the team would rely upon you to make important decisions)
- Strong independent contributor as well as a team player.
- Working knowledge of ML and familiarity with concepts of MLOps
Benefits
- Competitive Salary
- Work Remotely
- Health insurance
- Unlimited Time Off
- Support for continual learning (free books and online courses)
- Reimbursement for streaming services (think Netflix)
- Reimbursement for gym or physical activity of your choice
- Flex hours
- Leveling Up Opportunities
You will excel in this role if
- You have a product mindset. You understand, care about, and can relate to our customers.
- You take ownership, collaborate, and follow through to the very end.
- You love solving difficult problems, stand your ground, and get what you want from engineers.
- Resonate with our core values of innovation, curiosity, accountability, trust, fun, and social good.
As DevOps Engineer, you are responsible to setup and maintain GIT repository, DevOps tools like Jenkins, UCD, Docker, Kubernetes, Jfrog Artifactory, Cloud monitoring tools, Cloud security.
- Setup, configure, and maintain GIT repos, Jenkins, UCD, etc. for multi hosting cloud environments.
- Architect and maintain the server infrastructure in AWS. Build highly resilient infrastructure following industry best practices.
- Working on Docker images and maintaining Kubernetes clusters.
- Develop and maintain the automation scripts using Ansible or other available tools.
- Maintain and monitor cloud Kubernetes Clusters and patching when necessary.
- Working on Cloud security tools to keep applications secured.
- Participate in software development lifecycle, specifically infra design, execution, and debugging required to achieve successful implementation of integrated solutions within the portfolio.
- Required Technical and Professional Expertise.
- Minimum 4-6 years of experience in IT industry.
- Expertise in implementing and managing Devops CI/CD pipeline.
- Experience in DevOps automation tools. And Very well versed with DevOps Frameworks, Agile.
- Working knowledge of scripting using shell, Python, Terraform, Ansible or puppet or chef.
- Experience and good understanding in any of Cloud like AWS, Azure, Google cloud.
- Knowledge of Docker and Kubernetes is required.
- Proficient in troubleshooting skills with proven abilities in resolving complex technical issues.
- Experience with working with ticketing tools.
- Middleware technologies knowledge or database knowledge is desirable.
- Experience and well versed with Jira tool is a plus.
We look forward to connecting with you. As you may take time to review this opportunity, we will wait for a reasonable time of around 3-5 days before we screen the collected applications and start lining up job discussions with the hiring manager. However, we assure you that we will attempt to maintain a reasonable time window for successfully closing this requirement. The candidates will be kept informed and updated on the feedback and application status.
Minimum 4 years exp
Skillsets:
- Build automation/CI: Jenkins
- Secure repositories: Artifactory, Nexus
- Build technologies: Maven, Gradle
- Development Languages: Python, Java, C#, Node, Angular, React/Redux
- SCM systems: Git, Github, Bitbucket
- Code Quality: Fisheye, Crucible, SonarQube
- Configuration Management: Packer, Ansible, Puppet, Chef
- Deployment: uDeploy, XLDeploy
- Containerization: Kubernetes, Docker, PCF, OpenShift
- Automation frameworks: Selenium, TestNG, Robot
- Work Management: JAMA, Jira
- Strong problem solving skills, Good verbal and written communication skills
- Good knowledge of Linux environment: RedHat etc.
- Good in shell scripting
- Good to have Cloud Technology : AWS, GCP and Azure
Engineering group to plan ongoing feature development, product maintenance.
• Familiar with Virtualization, Containers - Kubernetes, Core Networking, Cloud Native
Development, Platform as a Service – Cloud Foundry, Infrastructure as a Service, Distributed
Systems etc
• Implementing tools and processes for deployment, monitoring, alerting, automation, scalability,
and ensuring maximum availability of server infrastructure
• Should be able to manage distributed big data systems such as hadoop, storm, mongoDB,
elastic search and cassandra etc.,
• Troubleshooting multiple deployment servers, Software installation, Managing licensing etc,.
• Plan, coordinate, and implement network security measures in order to protect data, software, and
hardware.
• Monitor the performance of computer systems and networks, and to coordinate computer network
access and use.
• Design, configure and test computer hardware, networking software, and operating system
software.
• Recommend changes to improve systems and network configurations, and determine hardware or
software requirements related to such changes.

