Job Title: DevOps Engineer
Location: Bangalore, Karnataka
Job Type: Full-time
Experience: 3-5 years
Notice Period: Immediate or within 15 days
About Us:
Wissen Technology is a dynamic and forward-thinking organization that thrives on innovation and excellence. We are looking for a talented DevOps Engineer passionate about Linux, networking, and cloud technologies to join our team. If you enjoy solving complex problems, automating everything, and working in a fast-paced environment, we want to hear from you!
Key Responsibilities:
- Linux Mastery: Utilize your solid understanding of Linux systems to manage, monitor, and maintain our infrastructure. Your expertise in Linux is crucial for ensuring system stability and performance. You are good at Linux troubleshooting of virtual machine resources like CPU and memory.
- Networking Proficiency: Leverage your networking knowledge to design, deploy, and troubleshoot network infrastructure, ensuring secure and efficient communication between systems and services.
- Cloud Management: Working knowledge of cloud technologies (Azure, AWS, GCP) and Kubernetes to deploy, manage, and scale our services. Your role will involve ensuring our cloud infrastructure is reliable, cost-effective, and scalable.
- Automation and Scripting: Ability to automate smaller repetitive tasks either in Unix shell script or Python. Develop and maintain CI/CD pipelines using tools like Jenkins and Argo to automate deployments and improve our software delivery process. Automate repetitive tasks to streamline operations and improve efficiency.
- Collaboration: Work closely with development teams to ensure smooth integration of new software and services. Provide guidance on best practices for system architecture and deployment.
Qualifications:
- Mandatory: Strong understanding of Linux and Unix systems.
- Networking: Solid knowledge of networking concepts, including DNS, TCP/IP, VPN, firewalls, and load balancing.
- Cloud: Experience with at least one major cloud platform (AWS, Azure, GCP) and Kubernetes.
- Strong scripting skills (Bash, Python, etc.) are highly desirable.
- Familiarity with containerization technologies like Docker and Kubernetes is a bonus.
- Experience with automation tools like Ansible, Puppet, or Chef is a plus.
- Excellent problem-solving skills and the ability to work in a fast-paced environment.
Why Join Us:
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- Collaborative and inclusive work environment.
- Work with cutting-edge technologies and a talented team.
Shubham Vishwakarma
Full Stack Developer - Averlon
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.
Company social profiles
Similar jobs
Kubernetes
DockerThe Role
As a DevOps Engineer at Blitzy's Pune headquarters, you'll build and operate the infrastructure that powers our AI agents and the applications they produce. You'll work at the intersection of cloud infrastructure, developer tooling, and AI-native systems — designing the pipelines, clusters, and automation that allow Blitzy to ship production-ready software at machine speed. This is a hands-on, high-ownership role for an engineer who moves fast, automates everything, and cares deeply about developer experience and system reliability.
What Success Looks Like
- Kubernetes clusters are running reliably at scale, with clear deployment standards, Helm-managed releases, and minimal manual intervention required from engineering teams.
- CI/CD pipelines are fast, consistent, and trusted — developers ship confidently knowing the automation handles the rest.
- Observability is comprehensive: alerts are actionable, dashboards are meaningful, and incidents are resolved faster because the right data is always available.
- Infrastructure provisioning is fully automated — no snowflake environments, no manual setup, everything reproducible through code.
- AI agent orchestration infrastructure is stable and scalable, directly enabling Blitzy's core product to deliver for enterprise customers.
- Engineering teams notice the difference — developer productivity is measurably higher and infrastructure is no longer a bottleneck to shipping.
Areas of Ownership
- Build and manage Kubernetes clusters supporting AI agent workloads and application deployment at scale.
- Design, implement, and maintain CI/CD pipelines for application and AI service delivery — ensuring speed, reliability, and repeatability.
- Automate infrastructure provisioning and dynamic scaling using Python scripts and Terraform IaC.
- Deploy and manage applications using Helm charts; own packaging standards and release automation.
- Build and maintain comprehensive observability stacks — alerting, distributed tracing, metrics, and logging (e.g., Prometheus, Grafana, Datadog, OpenTelemetry).
- Monitor and maintain production services and APIs; own incident response and drive blameless postmortems.
- Build dedicated infrastructure for AI agent orchestration and management, enabling Blitzy's core autonomous development capabilities.
- Collaborate with engineering teams on deployment strategies and continuously improve developer experience through tooling and automation.
Required Experience
- 5–8 years of DevOps, infrastructure, or platform engineering experience.
- Python proficiency for scripting, automation, and infrastructure tooling.
- Deep Kubernetes expertise — cluster management, workload deployment, scaling, and troubleshooting.
- Hands-on Helm experience for application packaging and release management.
- Proven ability to design and implement CI/CD pipelines across complex, multi-service environments.
- Practical experience with at least one major cloud platform (AWS, GCP, or Azure).
- Terraform proficiency for infrastructure-as-code provisioning and state management.
- Strong Linux administration and containerization fundamentals (Docker, OCI).
What Makes You Stand Out
- CKA (Certified Kubernetes Administrator) certification.
- Familiarity with MLOps tooling such as MLflow, Kubeflow, or similar platforms for AI/ML workload management.
- Experience with microservices architecture and distributed systems design.
- Knowledge of API gateways and service mesh technologies (Istio, Linkerd, or equivalent).
- Prior experience in a high-growth AI or software startup where you moved fast and owned broadly.
- Track record of meaningfully improving developer productivity through platform and tooling investments.
What Makes This Role Different
Most DevOps roles have you maintaining existing systems. At Blitzy, you're building the infrastructure layer for a platform that autonomously writes enterprise software — a genuinely new category of product. You'll work on AI agent orchestration, Kubernetes at scale, and developer tooling that is directly responsible for how fast Blitzy delivers value to Fortune 500 customers. As an early member of the Pune engineering team, you'll have outsized influence over our infrastructure culture and technical direction. High performers are eligible for company equity — giving you real ownership in what you build.
Amazon Web Services (AWS)Job role: Systems Engineer (L2)
Location: Remote/Bengaluru
Experience: 3-6 years
About the Role:
We are looking for a Systems Engineer (L2) to join our growing infrastructure team. You will be responsible for managing, optimizing, and scaling our cloud communication platform that handles billions of messages and voice calls annually.
Key Responsibilities:
— Design, deploy, and maintain scalable cloud infrastructure — AWS/GCP/Azure.
— Manage and optimize networking components — routers, switches, firewalls, load balancers.
— Handle incident response — monitor systems, identify issues, resolve production problems.
— Implement DevOps best practices — CI/CD pipelines, automation, containerization.
— Collaborate with backend and product teams on system architecture.
— Performance tuning — ensure high availability and reliability of platform.
— Security management — implement security protocols and compliance standards.
Required Skills:
Technical:
- Linux/Unix administration — strong fundamentals
- Networking — TCP/IP, DNS, BGP, VoIP protocols
- Cloud platforms — AWS/GCP/Azure — minimum 2 years
- DevOps tools — Docker, Kubernetes, Jenkins, CI/CD
- Monitoring tools — Grafana, Prometheus, Kibana, Datadog
- Scripting — Python, Bash, Shell
- Databases — MySQL, PostgreSQL, Redis
Soft skills:
- Strong problem-solving under pressure
- Good communication — English written and verbal
- Team player — collaborative mindset
Good to Have:
- Experience in telecom/CPaaS/cloud communications industry
- Knowledge of VoIP, SIP, RTP protocols
- AI/ML operations experience
- CCNA/AWS certifications
DockerKubernetes· 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
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.
DockerKubernetesAmazon Web Services (AWS)
PythonRequirements:
● Knowledge of building micro-services.
● Experience in managing cloud infrastructure with disaster recovery and security in
mind (AWS, GCP, Azure).
● Experience with High Availability clusters setup.
● Experience in creating alerting and monitoring strategies.
● Strong debugging skills.
● Experience with 0 downtime Continuous Delivery setup (Jenkins, AWS Code
Deploy, Team City, Go CD etc).
● Experience with Infrastructure as Code & Automation tools (Bash, Ansible,
Puppet, Chef, Terraform etc).
● Master of *nix systems, including working with docker, process & network
monitoring tools.
● Knowledge of monitoring tools like New Relic, App Dynamics etc.
● Experience with Messaging systems (RMQ, Kafka etc. ).
● Knowledge of DevOps Intelligence.
● Experience in setting up & driving DevOps initiatives in side the org Excellen.
● Good team player.
● Good to have experience in Kubernetes cluster management.
DockerKubernetesAmazon Web Services (AWS)Should be open to embracing new technologies, keeping up with emerging tech.
Strong troubleshooting and problem-solving skills.
Willing to be part of a high-performance team, build mature products.
Should be able to take ownership and work under minimal supervision.
Strong Linux System Administration background (with minimum 2 years experience), responsible for handling/defining the organization infrastructure(Hybrid).
Working knowledge of MySQL databases, Nginx, and Haproxy Load Balancer.
Experience in CI/CD pipelines, Configuration Management (Ansible/Saltstack) & Cloud Technologies (AWS/Azure/GCP)
Hands-on experience in GitHub, Jenkins, Prometheus, Grafana, Nagios, and Open Sources tools.
Strong Shell & Python scripting would be a plus.
Amazon Web Services (AWS)KubernetesRoles and Responsibilities
● Managing Availability, Performance, Capacity of infrastructure and applications.
● Building and implementing observability for applications health/performance/capacity.
● Optimizing On-call rotations and processes.
● Documenting “tribal” knowledge.
● Managing Infra-platforms like
- Mesos/Kubernetes
- CICD
- Observability(Prometheus/New Relic/ELK)
- Cloud Platforms ( AWS/ Azure )
- Databases
- Data Platforms Infrastructure
● Providing help in onboarding new services with the production readiness review process.
● Providing reports on services SLO/Error Budgets/Alerts and Operational Overhead.
● Working with Dev and Product teams to define SLO/Error Budgets/Alerts.
● Working with the Dev team to have an in-depth understanding of the application architecture and its bottlenecks.
● Identifying observability gaps in product services, infrastructure and working with stake owners to fix it.
● Managing Outages and doing detailed RCA with developers and identifying ways to avoid that situation.
● Managing/Automating upgrades of the infrastructure services.
● Automate toil work.
Experience & Skills
● 3+ Years of experience as an SRE/DevOps/Infrastructure Engineer on large scale microservices and infrastructure.
● A collaborative spirit with the ability to work across disciplines to influence, learn, and deliver.
● A deep understanding of computer science, software development, and networking principles.
● Demonstrated experience with languages, such as Python, Java, Golang etc.
● Extensive experience with Linux administration and good understanding of the various linux kernel subsystems (memory, storage, network etc).
● Extensive experience in DNS, TCP/IP, UDP, GRPC, Routing and Load Balancing.
● Expertise in GitOps, Infrastructure as a Code tools such as Terraform etc.. and Configuration Management Tools such as Chef, Puppet, Saltstack, Ansible.
● Expertise of Amazon Web Services (AWS) and/or other relevant Cloud Infrastructure solutions like Microsoft Azure or Google Cloud.
● Experience in building CI/CD solutions with tools such as Jenkins, GitLab, Spinnaker, Argo etc.
● Experience in managing and deploying containerized environments using Docker,
Mesos/Kubernetes is a plus.
● Experience with multiple datastores is a plus (MySQL, PostgreSQL, Aerospike,
Couchbase, Scylla, Cassandra, Elasticsearch).
● Experience with data platforms tech stacks like Hadoop, Hive, Presto etc is a plus
Jenkins
JavaMust-Have’s:
- Hands-on DevOps (Git, Ansible, Terraform, Jenkins, Python/Ruby)
Job Description:
- Knowledge on what is a DevOps CI/CD Pipeline
- Understanding of version control systems like Git, including branching and merging strategies
- Knowledge of what is continuous delivery and integration tools like Jenkins, Github
- Knowledge developing code using Ruby or Python and Java or PHP
- Knowledge writing Unix Shell (bash, ksh) scripts
- Knowledge of what is automation/configuration management using Ansible, Terraform, Chef or Puppet
- Experience and willingness to keep learning in a Linux environment
- Ability to provide after-hours support as needed for emergency or urgent situations
Nice to have’s:
- Proficient with container based products like docker and Kubernetes
- Excellent communication skills (verbal and written)
- Able to work in a team and be a team player
- Knowledge of PHP, MySQL, Apache and other open source software
- BA/BS in computer science or similar
Amazon Web Services (AWS)Mandatory Skills Sets
- Excellent problem-solving skills in technical challenges
- Deep knowledge of at least one cloud platform (AWS Preferred)
- Understanding of Latest cloud computing technologies
- Experience in architecting solutions based on knowledge of infrastructure & application architectures including the integration approaches
- Complete hands-on with ability to grasp evolving technologies and coding languages
- Excellent communication skills which would involve customer facing role
- Design thinking
- Customer facing skills and strong technical capabilities to review the teams work as well as guide the team
- Experience working/building/contributing to proposals for architecture, estimations
Preferred Skills Sets
- Experience architecting infrastructure solutions using both Linux/Unix and Windows with specific recommendations on server, load balancing, HA/DR, & storage architectures.
- Experience architecting or deploying Cloud/Virtualization solutions in enterprise customers.
- Person must have performed Application Architect Role for 3+ years
- AWS platform specific experience a bonus.
- Enterprise application and database architecture a bonus.
Javascript
HTML/CSS
PostgreSQL
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon