
- Strong hands-on experience in Microsoft Azure Cloud.
- Good understanding of Azure services such as Compute, Storage, Event Hub, Event Subscription, Storage Queue, and PaaS services.
- Basic understanding of Azure AI Foundry and AI-related Azure service setup.
- Good Azure networking basics: VNet, subnet, routing, and basic troubleshooting.
- Strong knowledge of Terraform, especially:
- Terraform state
- plan / apply
- troubleshooting failures
- migration risks
- Terraform Enterprise concepts
- Strong Python coding capability, not just basic scripting.
- Experience using Python for API integration, automation, JSON/YAML handling, and internal tooling.
- Good understanding of CI/CD pipelines.
- Ability to troubleshoot pipeline failures.
- Comfortable with YAML and JSON.
- Ability to troubleshoot Azure infrastructure/platform issues.
- Ability to collect logs/evidence and coordinate with network/app/Microsoft support teams.
- Basic awareness of agentic AI / LLM concepts.
- Awareness of security and cost best practices.
Good to Have Skills
- Hands-on experience with Harness.
- Hands-on experience with Terraform Enterprise.
- Exposure to LangGraph / LangChain.
- Exposure to agentic AI workflows or skill creation.
- Exposure to Claude or enterprise LLM integrations.
- Knowledge of Azure ML Workspace, model registry, and managed endpoints.
- MLOps / LLMOps knowledge.
- FinOps / Azure cost optimization experience.
- Azure certifications: AZ-104, AZ-305, AZ-400, AZ-500.

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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Job Title: Lead DevOps Engineer
Experience Required: 4 to 5 years in DevOps or related fields
Employment Type: Full-time
About the Role:
We are seeking a highly skilled and experienced Lead DevOps Engineer. This role will focus on driving the design, implementation, and optimization of our CI/CD pipelines, cloud infrastructure, and operational processes. As a Lead DevOps Engineer, you will play a pivotal role in enhancing the scalability, reliability, and security of our systems while mentoring a team of DevOps engineers to achieve operational excellence.
Key Responsibilities:
Infrastructure Management: Architect, deploy, and maintain scalable, secure, and resilient cloud infrastructure (e.g., AWS, Azure, or GCP).
CI/CD Pipelines: Design and optimize CI/CD pipelines, to improve development velocity and deployment quality.
Automation: Automate repetitive tasks and workflows, such as provisioning cloud resources, configuring servers, managing deployments, and implementing infrastructure as code (IaC) using tools like Terraform, CloudFormation, or Ansible.
Monitoring & Logging: Implement robust monitoring, alerting, and logging systems for enterprise and cloud-native environments using tools like Prometheus, Grafana, ELK Stack, NewRelic or Datadog.
Security: Ensure the infrastructure adheres to security best practices, including vulnerability assessments and incident response processes.
Collaboration: Work closely with development, QA, and IT teams to align DevOps strategies with project goals.
Mentorship: Lead, mentor, and train a team of DevOps engineers to foster growth and technical expertise.
Incident Management: Oversee production system reliability, including root cause analysis and performance tuning.
Required Skills & Qualifications:
Technical Expertise:
Strong proficiency in cloud platforms like AWS, Azure, or GCP.
Advanced knowledge of containerization technologies (e.g., Docker, Kubernetes).
Expertise in IaC tools such as Terraform, CloudFormation, or Pulumi.
Hands-on experience with CI/CD tools, particularly Bitbucket Pipelines, Jenkins, GitLab CI/CD, Github Actions or CircleCI.
Proficiency in scripting languages (e.g., Python, Bash, PowerShell).
Soft Skills:
Excellent communication and leadership skills.
Strong analytical and problem-solving abilities.
Proven ability to manage and lead a team effectively.
Experience:
4 years + of experience in DevOps or Site Reliability Engineering (SRE).
4+ years + in a leadership or team lead role, with proven experience managing distributed teams, mentoring team members, and driving cross-functional collaboration.
Strong understanding of microservices, APIs, and serverless architectures.
Nice to Have:
Certifications like AWS Certified Solutions Architect, Kubernetes Administrator, or similar.
Experience with GitOps tools such as ArgoCD or Flux.
Knowledge of compliance standards (e.g., GDPR, SOC 2, ISO 27001).
Perks & Benefits:
Competitive salary and performance bonuses.
Comprehensive health insurance for you and your family.
Professional development opportunities and certifications, including sponsored certifications and access to training programs to help you grow your skills and expertise.
Flexible working hours and remote work options.
Collaborative and inclusive work culture.
Join us to build and scale world-class systems that empower innovation and deliver exceptional user experiences.
You can directly contact us: Nine three one six one two zero one three two
DevOps Engineer (Cloud & Infrastructure)
📍 Noida | 🕐 Full-Time | 🧭 Experience: 2–4 years
About TestMu AI
TestMu AI (formerly LambdaTest) is an AI-native platform designed to move software testing beyond simple automation into the era of agentic intelligence. It provides end-to-end AI agents that manage the entire Quality Engineering lifecycle.
- Full-Stack AI Agents: Autonomously plan, author, execute, and analyze tests across the SDLC.
- Comprehensive Coverage: Supports web, mobile, and enterprise applications.
- Real-World Testing: Scale execution across real devices, browsers, and custom environments.
About the Role
This isn't a role for someone who just wants to "maintain" systems. As a DevOps Engineer at TestMu AI, you are the architect of the automated highways that power our AI agents. You will step into a fast-paced environment where you bridge the gap between cloud-native automation and core infrastructure.
You will manage complex CI/CD pipelines, troubleshoot deep-seated Linux issues, and ensure our hybrid-cloud environment (AWS/Azure) is as resilient as the code it runs.
Key Responsibilities: The Pillars of Growth
A. DevOps & Automation (50% Focus)
- Platform Orchestration: Lead the migration to modular, self-healing Terraform and Helm templates.
- Agentic CI/CD: Architect GitHub Actions workflows that treat AI agents as first-class citizens, automating environment promotion and risk scoring.
- Kubernetes Mastery: Advanced management of Docker and K8s clusters to support scalable production workloads.
- Predictive Observability: Use Prometheus, Grafana, and ELK to move from reactive alerts to autonomous anomaly detection.
B. Networking & Data Center Mastery (30% Focus)
- Hybrid Networking: Design and troubleshoot VPCs and subnets in Azure/AWS/GCP, paired with physical VLANs and switches in our data centers.
- Bare-Metal Lifecycle: Automate hardware provisioning, RAID setup, and firmware updates for our real-device cloud.
- Remote Admin: Master out-of-band management (iDRAC, iLO, IPMI) to ensure 100% remote operational capability.
- Core Protocols: Own the lifecycle of DNS, DHCP, Load Balancing, and IPAM across distributed environments.
C. Development & Scripting (20% Focus)
- Backend Integration: Debug and optimize Python or Go code; understanding how logic interacts with system-level resources.
- Advanced Scripting: Write idempotent Bash/Python scripts to automate complex, multi-server operational tasks.
- Agentic Tooling: Support the integration of LLM-based developer tools into DevOps workflows to eliminate "toil".
The Interview Journey
We value your ability to solve problems under pressure more than your ability to memorize documentation.
- Technical Round 1 (DevOps Leads): A live session focused on real-world debugging scenarios and Linux fundamentals.
- Technical Round 2 (Hiring Manager / Pod Lead): An assessment of your architectural thinking, automation strategy, and team alignment.
- Technical Round 3 (SVP Engineering / VP DevOps): Strategic discussion on scalability, infrastructure vision, and technical leadership.
- Final Round (CEO): Mission alignment, cultural fit, and the "big picture" at TestMu AI.
Growth Timeline
This is a high-visibility role. You will receive direct mentorship from our senior engineering leadership. As you master our production environment, you will have a clear path to move into Senior DevOps Engineer or Infrastructure Architect roles as our pods scale.
Perks That Matter
Health Cover: Comprehensive insurance for you and your family.
Fresh Meals: Daily catered meals at the office.
Transport: Safe cab facilities for eligible shifts.
Pod Budgets: Dedicated engagement budgets for team building and offsites.
Position: SDE-1 DevSecOps
Location: Pune, India
Experience Required: 0+ Years
We are looking for a DevSecOps engineer to contribute to product development, mentor team members, and devise creative solutions for customer needs. We value effective communication in person, in documentation, and in code. Ideal candidates thrive in small, collaborative teams, love making an impact, and take pride in their work with a product-focused, self-driven approach. If you're passionate about integrating security and deployment seamlessly into the development process, we want you on our team.
About FlytBase
FlytBase is a global leader in enterprise drone software automation. FlytBase platform is enabling drone-in-a-box deployments all across the globe and has the largest network of partners in 50+ countries.
The team comprises young engineers and designers from top-tier universities such as IIT-B, IIT-KGP, University of Maryland, Georgia Tech, COEP, SRM, KIIT and with deep expertise in drone technology, computer science, electronics, aerospace, and robotics.
The company is headquartered in Silicon Valley, California, USA, and has R&D offices in Pune, India. Widely recognized as a pioneer in the commercial drone ecosystem, FlytBase continues to win awards globally - FlytBase was the Global Grand Champion at the ‘NTT Data Open Innovation Contest’ held in Tokyo, Japan, and was the recipient of ‘ TiE50 Award’ at TiE Silicon Valley.
Role and Responsibilities:
- Participate in the creation and maintenance of CI/CD solutions and pipelines.
- Leverage Linux and shell scripting for automating security and system updates, and design secure architectures using AWS services (VPC, EC2, S3, IAM, EKS/Kubernetes) to enhance application deployment and management.
- Build and maintain secure Docker containers, manage orchestration using Kubernetes, and automate configuration management with tools like Ansible and Chef, ensuring compliance with security standards.
- Implement and manage infrastructure using Terraform, aligning with security and compliance requirements, and set up Dynatrace for advanced monitoring, alerting, and visualization of security metrics. Develop Terraform scripts to automate and optimize infrastructure provisioning and management tasks.
- Utilize Git for secure source code management and integrate continuous security practices into CI/CD pipelines, applying vulnerability scanning and automated security testing tools.
- Contribute to security assessments, including vulnerability and penetration testing, NIST, CIS AWS, NIS2 etc.
- Implement and oversee compliance processes for SOC II, ISO27001, and GDPR.
- Stay updated on cybersecurity trends and best practices, including knowledge of SAST and DAST tools, OWASP Top10.
- Automate routine tasks and create tools to improve team efficiency and system robustness.
- Contribute to disaster recovery plans and ensure robust backup systems are in place.
- Develop and enforce security policies and respond effectively to security incidents.
- Manage incident response protocols, including on-call rotations and strategic planning.
- Conduct post-incident reviews to prevent recurrence and refine the system reliability framework.
- Implementing Service Level Indicators (SLIs) and maintaining Service Level Objectives (SLOs) and Service Level Agreements (SLAs) to ensure high standards of service delivery and reliability.
Best suited for candidates who: (Skills/Experience)
- Up to 4 years of experience in a related field, with a strong emphasis on learning and execution.
- Background in IT or computer science.
- Familiarity with CI/CD tools, cloud platforms (AWS, Azure, or GCP), and programming languages like Python, JavaScript, or Ruby.
- Solid understanding of network layers and TCP/IP protocols.
- In-depth understanding of operating systems, networking, and cloud services.
- Strong problem-solving skills with a 'hacker' mindset.
- Knowledge of security principles, threat modeling, risk assessment, and vulnerability management is a plus.
- Relevant certifications (e.g., CISSP, GWAPT, OSCP) are a plus.
Compensation:
This role comes with an annual CTC that is market competitive and depends on the quality of your work experience, degree of professionalism, culture fit, and alignment with FlytBase’s long-term business strategy.
Perks:
- Fast-paced Startup culture
- Hacker mode environment
- Enthusiastic and approachable team
- Professional autonomy
- Company-wide sense of purpose
- Flexible work hours
- Informal dress code
Experience: 3+ years of experience in Cloud Architecture
About Company:
The company is a global leader in secure payments and trusted transactions. They are at the forefront of the digital revolution that is shaping new ways of paying, living, doing business and building relationships that pass on trust along the entire payments value chain, enabling sustainable economic growth. Their innovative solutions, rooted in a rock-solid technological base, are environmentally friendly, widely accessible and support social transformation.
Cloud Architect / Lead
- Role Overview
- Senior Engineer with a strong background and experience in cloud related technologies and architectures. Can design target cloud architectures to transform existing architectures together with the in-house team. Can actively hands-on configure and build cloud architectures and guide others.
- Key Knowledge
- 3-5+ years of experience in AWS/GCP or Azure technologies
- Is likely certified on one or more of the major cloud platforms
- Strong experience from hands-on work with technologies such as Terraform, K8S, Docker and orchestration of containers.
- Ability to guide and lead internal agile teams on cloud technology
- Background from the financial services industry or similar critical operational experience

Roles and Responsibilities:
• Gather and analyse cloud infrastructure requirements
• Automating system tasks and infrastructure using a scripting language (Shell/Python/Ruby
preferred), with configuration management tools (Ansible/ Puppet/Chef), service registry and
discovery tools (Consul and Vault, etc), infrastructure orchestration tools (Terraform,
CloudFormation), and automated imaging tools (Packer)
• Support existing infrastructure, analyse problem areas and come up with solutions
• An eye for monitoring – the candidate should be able to look at complex infrastructure and be
able to figure out what to monitor and how.
• Work along with the Engineering team to help out with Infrastructure / Network automation needs.
• Deploy infrastructure as code and automate as much as possible
• Manage a team of DevOps
Desired Profile:
• Understanding of provisioning of Bare Metal and Virtual Machines
• Working knowledge of Configuration management tools like Ansible/ Chef/ Puppet, Redfish.
• Experience in scripting languages like Ruby/ Python/ Shell Scripting
• Working knowledge of IP networking, VPN's, DNS, load balancing, firewalling & IPS concepts
• Strong Linux/Unix administration skills.
• Self-starter who can implement with minimal guidance
• Hands-on experience setting up CICD from SCRATCH in Jenkins
• Experience with Managing K8s infrastructure
Role and responsibilities
- Expertise in AWS (Most typical Services),Docker & Kubernetes.
- Strong Scripting knowledge, Strong Devops Automation, Good at Linux
- Hands on with CI/CD (CircleCI preferred but any CI/CD tool will do). Strong Understanding of GitHub
- Strong understanding of AWS networking and. Strong with Security & Certificates.
Nice-to-have skills
- Involved in Product Engineering
|
Azure, Azure AD, ADFS, Azure AD Connect, Microsoft Identity management |
|
Azure, Architecture, solution designing, Subscription Design |
- Mandatory: Docker, AWS, Linux, Kubernete or ECS
- Prior experience provisioning and spinning up AWS Clusters / Kubernetes
- Production experience to build scalable systems (load balancers, memcached, master/slave architectures)
- Experience supporting a managed cloud services infrastructure
- Ability to maintain, monitor and optimise production database servers
- Prior work with Cloud Monitoring tools (Nagios, Cacti, CloudWatch etc.)
- Experience with Docker, Kubernetes, Mesos, NoSQL databases (DynamoDB, Cassandra, MongoDB, etc)
- Other Open Source tools used in the infrastructure space (Packer, Terraform, Vagrant, etc.)
- In-depth knowledge on Linux Environment.
- Prior experience leading technical teams through the design and implementation of systems infrastructure projects.
- Working knowledge of Configuration Management (Chef, Puppet or Ansible preferred) Continuous Integration Tools (Jenkins preferred)
- Experience in handling large production deployments and infrastructure.
- DevOps based infrastructure and application deployments experience.
- Working knowledge of the AWS network architecture including designing VPN solutions between regions and subnets
- Hands-on knowledge with the AWS AMI architecture including the development of machine templates and blueprints
- He/she should be able to validate that the environment meets all security and compliance controls.
- Good working knowledge of AWS services such as Messaging, Application Services, Migration Services, Cost Management Platform.
- Proven written and verbal communication skills.
- Understands and can serve as the technical team lead to oversee the build of the Cloud environment based on customer requirements.
- Previous NOC experience.
- Client Facing Experience with excellent Customer Communication and Documentation Skills








