
Implementation Engineer
Implementation Engineer Duties and Responsibilities
- Understanding requirements from internal consumers about program functionality.
- Perform UAT tests on application with help of test cases and prepare documents for same and coordinate with team to resolve all issues within required timeframe and inform management of any delays.
- Collaborate with development team to design new programs for all client implementation activities and manage all communication with department to resolve all issues and assist implementation analyst to manage all production data.
- Perform research on all client issues and document all findings and implement all technical activities with help of JIRA.
- Assist internal teams to monitor all software implementation lifecycle and assist to track appropriate customization to all software for clients.
- Train technical staff on all OS and software issues and identify all issues in processes and provide solutions for same. Train other team members on processes, procedures, API functionality, and development specifications.
- Supervise/support crossed-functional teams to design, test and deploy to achieve on-time project completion.
- Implement, configure, and debug MySQL, JAVA, Redis, PHP, Node, ActiveMQ setups.
- Monitor and troubleshoot infrastructure utilizing SYSLOG, SNMP and other monitoring software.
- Install, configure, monitor and upgrade applications during installation/upgrade activities.
- Assisting team to identify network issue and help them with respective resolutions.
- Utilize JIRA for issue reporting, status, activity planning, tracking and updating project defects and tasks.
- Managing JIRA and tracking tickets to closure and follow-ups with team members.
- Troubleshoot software issues
- Provide on-call support as necessary
Implementation Engineer Requirements and Qualifications
- Bachelor’s degree in computer science, software engineering, or a related field
- Experience working with
- Linux & Windows Operating system
- Working on shell and bat scripts
- SIP/ISUP based solutions
- deploying / debugging Java, C++ based solutions.
- MySQL to install, backup, update and retrieve data
- Front-end or back-end software development for LINUX
- database management and security a plus
- Very good debugging and analytical skills
- Good Communication skills

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Job Role : DevOps Engineer (Python + DevOps)
Experience : 4 to 10 Years
Location : Hyderabad
Work Mode : Hybrid
Mandatory Skills : Python, Ansible, Docker, Kubernetes, CI/CD, Cloud (AWS/Azure/GCP)
Job Description :
We are looking for a skilled DevOps Engineer with expertise in Python, Ansible, Docker, and Kubernetes.
The ideal candidate will have hands-on experience automating deployments, managing containerized applications, and ensuring infrastructure reliability.
Key Responsibilities :
- Design and manage containerization and orchestration using Docker & Kubernetes.
- Automate deployments and infrastructure tasks using Ansible & Python.
- Build and maintain CI/CD pipelines for streamlined software delivery.
- Collaborate with development teams to integrate DevOps best practices.
- Monitor, troubleshoot, and optimize system performance.
- Enforce security best practices in containerized environments.
- Provide operational support and contribute to continuous improvements.
Required Qualifications :
- Bachelor’s in Computer Science/IT or related field.
- 4+ years of DevOps experience.
- Proficiency in Python and Ansible.
- Expertise in Docker and Kubernetes.
- Hands-on experience with CI/CD tools and pipelines.
- Experience with at least one cloud provider (AWS, Azure, or GCP).
- Strong analytical, communication, and collaboration skills.
Preferred Qualifications :
- Experience with Infrastructure-as-Code tools like Terraform.
- Familiarity with monitoring/logging tools like Prometheus, Grafana, or ELK.
- Understanding of Agile/Scrum practices.
Job Title : DevOps Engineer
Experience : 3+ Years
Location : Mumbai
Employment Type : Full-time
Job Overview :
We’re looking for an experienced DevOps Engineer to design, build, and manage Kubernetes-based deployments for a microservices data discovery platform.
The ideal candidate has strong hands-on expertise with Helm, Docker, CI/CD pipelines, and cloud networking — and can handle complex deployments across on-prem, cloud, and air-gapped environments.
Mandatory Skills :
✅ Helm, Kubernetes, Docker
✅ Jenkins, ArgoCD, GitOps
✅ Cloud Networking (VPCs, bare metal vs. VMs)
✅ Storage (MinIO, Ceph, NFS, S3/EBS)
✅ Air-gapped & multi-tenant deployments
Key Responsibilities :
- Build and customize Helm charts from scratch.
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- Manage containerized deployments across on-prem/cloud setups.
- Work on air-gapped and restricted environments.
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Job Description: Azure Integration Specialist (BizTalk to Azure Integration Services)
Experience: 4+ Years
Location: Hybrid / Remote
Employment Type: Full-Time
Role Overview
We are seeking an experienced Azure Integration Specialist with 4+ years of experience in enterprise application integration, including hands-on expertise in Microsoft BizTalk Server and Azure Integration Services (AIS). The ideal candidate will be responsible for designing, developing, supporting, and migrating integration solutions from BizTalk Server to Azure-based integration platforms.
Key Responsibilities
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* Prepare technical documentation, design specifications, and deployment procedures.
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* 4+ years of experience in enterprise application integration.
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* Azure Service Bus
* Azure API Management
* Azure Functions
* Event Grid
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* Strong understanding of REST, SOAP, Web Services, and API integrations.
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Preferred Skills
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* Knowledge of Azure Monitoring, Application Insights, and Log Analytics.
* Experience with hybrid integration scenarios.
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Qualifications
* Bachelor’s degree in Computer Science, Information Technology, or a related field.
* Strong communication and stakeholder management skills.
* Ability to work independently and in a collaborative team environment.
Key Responsibilities:
- ☁️ Manage cloud infrastructure and automation on AWS, Google Cloud (GCP), and Azure.
- 🖥️ Deploy and maintain Windows Server environments, including Internet Information Services (IIS).
- 🐧 Administer Linux servers and ensure their security and performance.
- 🚀 Deploy .NET applications (ASP.Net, MVC, Web API, WCF, etc.) using Jenkins CI/CD pipelines.
- 🔗 Manage source code repositories using GitLab or GitHub.
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- 🤝 Collaborate with development teams to support application deployments and maintenance.
- 🔒 Implement security best practices across cloud and server environments.
Required Skills:
- ☁️ Hands-on experience with AWS, Google Cloud (GCP), and Azure cloud services.
- 🖥️ Strong understanding of Windows Server administration and IIS.
- 🐧 Proficiency in Linux server management.
- 🚀 Experience in deploying .NET applications and working with Jenkins for CI/CD automation.
- 🔗 Knowledge of version control systems such as GitLab or GitHub.
- 🛠️ Good troubleshooting skills and ability to resolve system issues efficiently.
- 📝 Strong documentation and communication skills.
Preferred Skills:
- 🖥️ Experience with scripting languages (PowerShell, Bash, or Python) for automation.
- 📦 Knowledge of containerization technologies (Docker, Kubernetes) is a plus.
- 🔒 Understanding of networking concepts, firewalls, and security best practices.
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
Role: Full-Time, Long-Term Required: Docker, GCP, CI/CD Preferred: Experience with ML pipelines
OVERVIEW
We are seeking a DevOps engineer to join as a core member of our technical team. This is a long-term position for someone who wants to own infrastructure and deployment for a production machine learning system. You will ensure our prediction pipeline runs reliably, deploys smoothly, and scales as needed.
The ideal candidate thinks about failure modes obsessively, automates everything possible, and builds systems that run without constant attention.
CORE TECHNICAL REQUIREMENTS
Docker (Required): Deep experience with containerization. Efficient Dockerfiles, layer caching, multi-stage builds, debugging container issues. Experience with Docker Compose for local development.
Google Cloud Platform (Required): Strong GCP experience: Cloud Run for serverless containers, Compute Engine for VMs, Artifact Registry for images, Cloud Storage, IAM. You can navigate the console but prefer scripting everything.
CI/CD (Required): Build and maintain deployment pipelines. GitHub Actions required. You automate testing, building, pushing, and deploying. You understand the difference between continuous integration and continuous deployment.
Linux Administration (Required): Comfortable on the command line. SSH, diagnose problems, manage services, read logs, fix things. Bash scripting is second nature.
PostgreSQL (Required): Database administration basics—backups, monitoring, connection management, basic performance tuning. Not a DBA, but comfortable keeping a production database healthy.
Infrastructure as Code (Preferred): Terraform, Pulumi, or similar. Infrastructure should be versioned, reviewed, and reproducible—not clicked together in a console.
WHAT YOU WILL OWN
Deployment Pipeline: Maintaining and improving deployment scripts and CI/CD workflows. Code moves from commit to production reliably with appropriate testing gates.
Cloud Run Services: Managing deployments for model fitting, data cleansing, and signal discovery services. Monitor health, optimize cold starts, handle scaling.
VM Infrastructure: PostgreSQL and Streamlit on GCP VMs. Instance management, updates, backups, security.
Container Registry: Managing images in GitHub Container Registry and Google Artifact Registry. Cleanup policies, versioning, access control.
Monitoring and Alerting: Building observability. Logging, metrics, health checks, alerting. Know when things break before users tell us.
Environment Management: Configuration across local and production. Secrets management. Environment parity where it matters.
WHAT SUCCESS LOOKS LIKE
Deployments are boring—no drama, no surprises. Systems recover automatically from transient failures. Engineers deploy with confidence. Infrastructure changes are versioned and reproducible. Costs are reasonable and resources scale appropriately.
ENGINEERING STANDARDS
Automation First: If you do something twice, automate it. Manual processes are bugs waiting to happen.
Documentation: Runbooks, architecture diagrams, deployment guides. The next person can understand and operate the system.
Security Mindset: Secrets never in code. Least-privilege access. You think about attack surfaces.
Reliability Focus: Design for failure. Backups are tested. Recovery procedures exist and work.
CURRENT ENVIRONMENT
GCP (Cloud Run, Compute Engine, Artifact Registry, Cloud Storage), Docker, Docker Compose, GitHub Actions, PostgreSQL 16, Bash deployment scripts with Python wrapper.
WHAT WE ARE LOOKING FOR
Ownership Mentality: You see a problem, you fix it. You do not wait for assignment.
Calm Under Pressure: When production breaks, you diagnose methodically.
Communication: You explain infrastructure decisions to non-infrastructure people. You document what you build.
Long-Term Thinking: You build systems maintained for years, not quick fixes creating tech debt.
EDUCATION
University degree in Computer Science, Engineering, or related field preferred. Equivalent demonstrated expertise also considered.
TO APPLY
Include: (1) CV/resume, (2) Brief description of infrastructure you built or maintained, (3) Links to relevant work if available, (4) Availability and timezone.
Requirements:
- Experience of managing Engineering teams in an Agile environment.
- Expert knowledge of delivering solutions in Azure cloud within a large-scale enterprise environment.
- Great understanding of DevOps principles and how they assist in taking products to market in an effective manner.
- Experience of Automation/Configuration management tools as well as working in a continuous delivery environment, monitoring and tooling.
- Knowledge and experience in Azure, Kubernetes, Containerisation, Azure DevOps pipelines.
- Experience in managing permissions in Azure DevOps.
- Working experience in Application Gateways, App Services, Front-Door, Azure Service Bus, etc.
- Troubleshooting experience in virtual/cloud infrastructures.
- Experience in delivery of projects using IAC (Infrastructure as Code).
Responsibilities
- Building and maintenance of resilient and scalable production infrastructure
- Improvement of monitoring systems
- Creation and support of development automation processes (CI / CD)
- Participation in infrastructure development
- Detection of problems in architecture and proposing of solutions for solving them
- Creation of tasks for system improvements for system scalability, performance and monitoring
- Analysis of product requirements in the aspect of devops
- Managing a team of DevOps, control of task deliveries
- Incident analysis and fixing
Technology stack
Linux, Bash, Salt/Ansible, LXC, libvirt, IPsec, VXLAN, Open vSwitch, OpenVPN, OSPF, BIRD, Cisco NX-OS, Multicast, PIM, LVM, software RAID, LUKS, PostgreSQL, nginx, haproxy, Prometheus, Grafana, Zabbix, GitLab, Capistrano
Skills and Experience
- Understanding of the distributed systems principles
- Understanding of principles for building a resistant network infrastructure
- Experience of Ubuntu Linux administration (Debian-like will be a plus)
- Strong knowledge of Bash
- Experience of working with LXC-containers
- Understanding and experience with infrastructure as a code approach
- Experience of development idempotent Ansible roles
- Experience with relational databases (PostgeSQL), ability to create simple SQL queries
- Experience with git
- Experience with monitoring and metric collect systems (Prometheus, Grafana, Zabbix)
- Understanding of dynamic routing (OSPF)
Preferred experience
- Experience of working with highload zero-downtown environments
- Experience of coding on Python
- Experience of working with IPsec, VXLAN, Open vSwitch
- Knowledge and experience of working with network equipment Cisco
- Experience of working with Cisco NX-OS
- Knowledge of principles of multicast protocols IGMP, PIM
- Experience of setting multicast on Cisco equipment
- Experience of working with Solarflare Onload
- Experience administering Atlassian products
BENEFITS: -
Competitive salary and stock options -
Premium medical benefits
LOCATION: - Remote (India)
EDUCATION AND EXPERIENCE -
Degree in computer science, software engineering, or a related field -
At least 3-5 years of professional work experience as a
DevOps / test automation / deployment engineer -
Experience in agile software development methodologies
JOB RESPONSIBILITIES: -
Design and development of scalable software test framework to automate test procedures - Perform health checks of existing sites periodically (manually and also developing a automation pipeline) - Manage per site software releases -
Generate release notes, user guides, technical documentation -
Perform upgrades/ downgrades (patch management) -
Generate and Manage configurations -
Suggest process improvements by interfacing with product owner -
File process/installation/deployment related issues & tracking them -
Verify customer-reported issues and translate them into technical tasks for development
REQUIREMENTS:
Following are must to have requirements, -
Automation frameworks like Selenium etc. -
Scripting languages like Perl, Python etc. -
Linux systems -
Version control system like git -
Issue tracking system like Jira -
Networking protocols -
Cloud infrastructure -
Ability to work individually and as part of a team with a sense of urgency -
Excellent communication skills in written and verbal English -
Great attention to detail
PREFERRED:
Following are good to have requirements, -
Knowledge in any of the programming languages like C, C++ etc.
Experience managing cloud-based (e.g., AWS, Google Cloud, etc.) and in-house server infrastructure -
Familiarity with machine learning / artificial intelligence infrastructure -
Experience in data visualization and statistics -
Basic knowledge of hardware infrastructure containing routers, switches and others -
Familiarity with web & data securityDesign and development of scalable software test framework to automate test
At Karza technologies, we take pride in building one of the most comprehensive digital onboarding & due-diligence platforms by profiling millions of entities and trillions of associations amongst them using data collated from more than 700 publicly available government sources. Primarily in the B2B Fintech Enterprise space, we are headquartered in Mumbai in Lower Parel with 100+ strong workforce. We are truly furthering the cause of Digital India by providing the entire BFSI ecosystem with tech products and services that aid onboarding customers, automating processes and mitigating risks seamlessly, in real-time and at fraction of the current cost.
A few recognitions:
- Recognized as Top25 startups in India to work with 2019 by LinkedIn
- Winner of HDFC Bank's Digital Innovation Summit 2020
- Super Winners (Won every category) at Tecnoviti 2020 by Banking Frontiers
- Winner of Amazon AI Award 2019 for Fintech
- Winner of FinTech Spot Pitches at Fintegrate Zone 2018 held at BSE
- Winner of FinShare 2018 challenge held by ShareKhan
- Only startup in Yes Bank Global Fintech Accelerator to win the account during the Cohort
- 2nd place Citi India FinTech Challenge 2018 by Citibank
- Top 3 in Viacom18's Startup Engagement Programme VStEP
What your average day would look like:
- Deploy and maintain mission-critical information extraction, analysis, and management systems
- Manage low cost, scalable streaming data pipelines
- Provide direct and responsive support for urgent production issues
- Contribute ideas towards secure and reliable Cloud architecture
- Use open source technologies and tools to accomplish specific use cases encountered within the project
- Use coding languages or scripting methodologies to solve automation problems
- Collaborate with others on the project to brainstorm about the best way to tackle a complex infrastructure, security, or deployment problem
- Identify processes and practices to streamline development & deployment to minimize downtime and maximize turnaround time
What you need to work with us:
- Proficiency in at least one of the general-purpose programming languages like Python, Java, etc.
- Experience in managing the IAAS and PAAS components on popular public Cloud Service Providers like AWS, Azure, GCP etc.
- Proficiency in Unix Operating systems and comfortable with Networking concepts
- Experience with developing/deploying a scalable system
- Experience with the Distributed Database & Message Queues (like Cassandra, ElasticSearch, MongoDB, Kafka, etc.)
- Experience in managing Hadoop clusters
- Understanding of containers and have managed them in production using container orchestration services.
- Solid understanding of data structures and algorithms.
- Applied exposure to continuous delivery pipelines (CI/CD).
- Keen interest and proven track record in automation and cost optimization.
Experience:
- 1-4 years of relevant experience
- BE in Computer Science / Information Technology








