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confluent kafka infrastructure administrator

Datamatics Global Services Ltd

<div>Job Title: Confluent Kafka Infrastructure Administrator 
Location: Remote (Pak) / Hybrid (Riyadh, KSA) 
Employment Type: Full-Time / Contract-to-Hire 
Experience Level: 5+ years 
 
Role Summary 
 
As a Confluent Kafka Infrastructure Administrator, you'll be the operational backbone for our Kafka ecosystem, handling the full lifecycle of clusters from installation to ongoing maintenance. You'll deploy and manage Confluent Platform in multi-environment setups (dev/test/UAT/preprod/prod/DR), ensuring high availability, security, and performance. This hands-on role involves automation, troubleshooting, and collaboration with engineering teams to support real-time data pipelines in production-scale environments. 
 
Key Responsibilities<ul><li>
Installation &amp; Setup: Lead the deployment and initial configuration of Confluent Platform (Enterprise/Cloud editions) and Apache Kafka clusters across multiple environments (dev, test, UAT, preprod/prod, DR), including:<ul><li>
Installing brokers, ZooKeeper/KRaft controllers, Schema Registry, Kafka Connect, and ksqlDB using automated tools like Ansible, Terraform, or Confluent CLI/Helm charts on Kubernetes, bare-metal, or cloud (GCP).</li><li>
Configuring topics, partitions, replication factors, and security (SSL/TLS encryption, SASL authentication, ACLs/RBAC via ZooKeeper or KRaft) with zero-downtime setups.</li><li>
Integrating auxiliary services like MirrorMaker 2 or Confluent Replicator for cross-environment replication, and performing initial load testing/health checks with tools like Kafka's perf tools.</li><li>
Automating environment provisioning for reproducibility, including VPC peering, load balancers, and integration with existing infrastructure.</li></ul></li><li>
Maintenance &amp; Operations: Oversee day-to-day cluster management, upgrades, and patching in multi-environment landscapes, ensuring &gt;99.9% uptime and compliance with SLAs.</li><li>
Monitoring &amp; Troubleshooting: Implement and maintain observability with Prometheus, Grafana, Confluent Control Center; set up alerts for metrics like lag, throughput, and broker health; perform root-cause analysis for incidents (e.g., replication failures, disk exhaustion).</li><li>
Optimization &amp; Scaling: Conduct capacity planning, performance tuning (e.g., JVM tweaks, partition balancing), and horizontal/vertical scaling; implement Tiered Storage for cost efficiency in large-scale setups.</li><li>
Security &amp; Compliance: Enforce security best practices (OAuth/Kerberos, auditing); manage access controls and ensure GDPR/HIPAA compliance across environments.</li><li>
Automation &amp; Documentation: Develop scripts (Python/Bash) for routine tasks like backups, rollouts, and failover; create runbooks and contribute to IaC pipelines (CI/CD with Jenkins/GitHub Actions).</li><li>
Collaboration: Partner with data engineers, DevOps, and architects to support POCs, integrations (e.g., Flink/Spark), and environment migrations; provide 24/7 on-call support for prod incidents.</li></ul> 

Required Qualifications &amp; Skills<ul><li>
Bachelor's in Computer Science/Engineering; Confluent Certified Administrator (CCAAK) or equivalent a plus.</li><li>
5+ years in infrastructure ops; 3+ years hands-on with Confluent Platform &amp; Apache Kafka (KRaft mode preferred).</li><li>
Proven track record in deploying/managing Kafka clusters across multi-environments (dev/test/UAT/preprd/prod/DR); expertise in Ansible/Terraform/Helm for automated installs.</li><li>
Proficiency in Bash/Python scripting; Kafka admin APIs, Connect, Streams, ksqlDB; Confluent CLI, REST Proxy.</li><li>
Containerization (Docker/K8s); CI/CD (Jenkins/GitHub Actions); multi-cloud (AWS/GCP/Azure) with managed services like MSK.</li><li>
Tools like Prometheus/Grafana/ELK; experience with upgrades, backups, DR (MirrorMaker/Replicator), and performance tuning.</li><li>
SSL/TLS, SASL, ACLs/RBAC; auditing and compliance in distributed systems.</li><li>
Strong troubleshooting, documentation, and communication; ability to handle on-call rotation.</li></ul>
dbqHMHtOaf</div>

Confluent Kafka Infrastructure Administrator

<div>Job Title: Lead Confluent Kafka Engineer/Architect 
Location: Remote (Pak) / Hybrid (Riyadh, KSA) 
Employment Type: Full-Time / Contract-to-Hire 
Experience Level: 10+ years (Senior/Lead) 
 
Role Summary 
As a Lead Confluent Kafka Engineer, you'll architect, design, setup, install, implement and optimize high-throughput data streaming solutions using Confluent Platform and Apache Kafka. You'll lead a team of engineers in delivering production-grade pipelines, ensuring scalability, reliability, and security. This role involves hands-on development, mentoring, and collaborating with data architects, DevOps, and stakeholders to implement event-driven architectures. You'll champion best practices in real-time data processing, from proof-of-concepts to enterprise deployments, including full lifecycle management from installation to optimization. 
 
Key Responsibilities<ul><li>
Architecture &amp; Design: Lead the design of scalable Kafka clusters and Confluent-based ecosystems (e.g., Kafka Streams, ksqlDB, Schema Registry, Connect) for on-prem, hybrid, and multi-cloud (GCP) environments.</li><li>
Implementation &amp; Development: Build and maintain real-time data pipelines, integrations, and microservices using Kafka producers/consumers; integrate with tools like Flink, Spark, or ML frameworks for advanced analytics.</li><li>
Installation &amp; Setup: Oversee the end-to-end installation and initial configuration of Confluent Platform and Apache Kafka clusters, including:<ul><li>
Deploying Confluent Enterprise/Community editions on Kubernetes (via Helm/Operator), bare-metal servers, or managed cloud services (e.g., Confluent Cloud, GCP).</li><li>
Configuring brokers, ZooKeeper/KRaft mode, topics, partitions, replication factors, and security settings (e.g., SSL/TLS, SASL, ACLs) using Ansible, Terraform, or Confluent CLI.</li><li>
Setting up auxiliary components like Schema Registry, Kafka Connect clusters, and monitoring agents (e.g., JMX exporters) with automated scripts for reproducible environments.</li><li>
Performing initial health checks, load testing (e.g., with Kafka's performance tools), and integration with existing infrastructure (e.g., VPC peering, load balancers).</li></ul></li><li>
Operations &amp; Maintenance: Oversee monitoring, troubleshooting, performance tuning, and lifecycle management (upgrades, patching) of Kafka/Confluent instances; implement DevSecOps practices for CI/CD pipelines.</li><li>
Team Leadership: Mentor junior engineers, conduct code reviews, and drive technical proofs-of-concept (POCs); gather requirements and define standards for Kafka as a managed service (e.g., access controls, documentation).</li><li>
Optimization &amp; Innovation: Ensure high availability (&gt;99.99%), fault tolerance, and cost-efficiency; explore emerging features like Kafka Tiered Storage or Confluent Cloud integrations for AI workloads.</li><li>
Collaboration &amp; Delivery: Partner with cross-functional teams (data engineers, architects, product owners) to align streaming solutions with business goals; provide thought leadership on event-driven patterns.</li><li>
Security &amp; Compliance: Implement RBAC, encryption, and auditing; conduct root-cause analysis for incidents and ensure GDPR/HIPAA compliance in data flows.</li></ul>
Required Qualifications &amp; Skills<ul><li>
Bachelor's/Master's in Computer Science, Engineering, or related; certifications like Confluent Developer/Administrator a plus.</li><li>
10+ years in software engineering; 5+ years hands-on with Apache Kafka &amp; Confluent Platform (Cloud/Enterprise editions).</li><li>
Proficiency in Java/Scala/Python (8/11+); Kafka Streams/Connect/ksqlDB; Schema Registry; REST/gRPC APIs.</li><li>
Event-driven/microservices design; data pipeline optimization; handling high-volume streams (TB/day scale).</li><li>
Expertise in containerization (Docker/Kubernetes); CI/CD (Jenkins/GitHub Actions); Terraform/Ansible for IaC.</li><li>
Multi-cloud experience (AWS, GCP, Azure); monitoring tools (Prometheus, Grafana, Confluent Control Center).</li><li>
Experience with streaming integrations (e.g., Flink, Spark Streaming for CDC).
</li><li>Contributions to open-source Kafka projects or publications on streaming architectures.
</li><li>Knowledge of AI/ML data pipelines (e.g., Kafka + TensorFlow/PyTorch).
</li><li>Familiarity with observability tools and security (OAuth, Kerberos).
</li><li>Strong problem-solving, communication, and leadership; experience leading POCs and cross-team projects.</li><li>
Agile/Scrum leadership in fast-paced environments.</li><li>
Experience in client facing roles and leading teams.</li></ul>
Ps1QAV6bbg</div>

Lead Confluent Kafka Engineer / Architect

Taraki

<div>
 This job is with CodeByte, a technology-driven company offering Managed Services in Custom Software Development, Dedicated Teams, UI/UX Design, Data Engineering, and Machine Learning, helping businesses build scalable and intelligent digital solutions.
 
 
 
 Role Overview:
 
 
 
 Were looking for a skilled
 
 Python Developer
 
 with hands-on experience in
 
 real-time data or media streaming systems
 
 . You'll work on building, optimizing, and maintaining high-performance backend services that process and stream large volumes of data or media in real time. The ideal candidate has a strong foundation in Python, distributed systems, and streaming technologies such as Kafka, WebRTC, or AWS Kinesis.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design and develop backend services and APIs in Python for real-time streaming applications.
 </li>
 <li>
 Implement, optimize, and monitor data pipelines and media streaming workflows.
 </li>
 <li>
 Work with streaming frameworks (Kafka, Redis Streams, AWS Kinesis, etc.) or media protocols (RTMP, HLS, WebRTC).
 </li>
 <li>
 Collaborate with DevOps and frontend teams to ensure low-latency, scalable performance.
 </li>
 <li>
 Troubleshoot streaming quality, synchronization, and throughput issues.
 </li>
 <li>
 Write clean, maintainable code and unit/integration tests.
 </li>
 <li>
 Optimize data serialization, caching, and concurrency for high-performance systems.
 </li>
 <li>
 Contribute to system architecture discussions and technology decisions.
 
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience:
 
 
 
 <ul>
 <li>
 3-5 years of experience in backend development using Python (FastAPI, Flask, or Django).
 </li>
 <li>
 Strong understanding of asynchronous programming (asyncio, aiohttp, etc.).
 </li>
 <li>
 Proven experience with data or media streaming (Kafka, Kinesis, WebRTC, FFmpeg, RTSP, etc.).
 </li>
 <li>
 Experience integrating with cloud infrastructure (AWS, GCP, or Azure).
 </li>
 <li>
 Good knowledge of database technologies (PostgreSQL, Redis, or MongoDB).
 </li>
 <li>
 Familiarity with Docker and containerized deployments.
 </li>
 <li>
 Understanding of system design, scalability, and distributed systems.
 
 
 
 </li>
 </ul>
 
 Nice-to-Have:
 
 
 
 <ul>
 <li>
 Experience with real-time analytics or event-driven architectures.
 </li>
 <li>
 Familiarity with FFmpeg for media encoding/transcoding.
 </li>
 <li>
 Knowledge of CI/CD pipelines and infrastructure as code (IaC) tools.
 </li>
 <li>
 Exposure to machine learning pipelines or video processing is a plus.
 
 </li>
 </ul>
</div>

Software Engineer

Ahmaar Technology

Job descriptionNetwork Administrator&mdash;Job RequirementsPosition: Network AdministratorJob Responsibilities:<ul><li>Install, configure, and maintain network hardware and software.</li><li>Monitor network performance and troubleshoot issues to ensure smooth operation.</li><li>Implement security measures to protect network systems and data.</li><li>Manage firewalls, VPNs, LAN, and other network security tools.</li><li>Maintain and update network documentation, policies, and procedures.</li><li>Collaborate with IT teams to support infrastructure needs.</li><li>Provide technical support for network-related issues.</li><li>Ensure regular data backups and disaster recovery solutions.</li></ul>Job Requirements:<ul><li>Bachelor's degree in Computer Science, Information Technology, or a related field.</li><li>One year of experience as a network administrator, IT support, or a similar role.</li><li>Strong knowledge of LAN/WAN, routers, switches, and firewalls.</li><li>Experience with network monitoring and security tools.</li><li>Familiarity with cloud networking (AWS, Azure) is a plus.</li><li>Strong troubleshooting and problem-solving skills.</li><li>Excellent communication and teamwork abilities.</li><li>Relevant certifications (CCNA, CCNP, CompTIA Network+) are preferred.</li></ul>Apply Via Email : hr@ahmaar.comApply Via Whatsapp : +923171177215Job Type : On-SiteShift Timings : UK (Time) 3: pm to 11: pmSalary : Basic 40K to 55KLocation : Lahore Near ThokarJob Type: Full-timeJob Type: Full-timePay: Rs40,000.00 - Rs60,000.00 per monthWork Location: In person

Network Administrator

<div><h1 class="jobSectionHeader">Linux/Unix System Administrator</h1>
Job Title: Linux/Unix System Administrator 
Experience: 7&ndash;8 Years 
Location: Remote 
Employment Type: Full-Time<h3 class="jobSectionHeader">
Role Summary</h3>
We are seeking an experienced Linux/Unix System Administrator to manage and secure our enterprise server infrastructure. The ideal candidate will have deep experience in system administration, performance optimization, automation, and troubleshooting mission-critical servers.<h3 class="jobSectionHeader"> 
Key Responsibilities</h3><ul><li>
Install, configure, and maintain Linux/Unix servers (RHEL, Ubuntu, Solaris, AIX, etc.).</li><li>
Manage system updates, patches, and kernel upgrades.</li><li>
Monitor server performance, availability, and security.</li><li>
Automate system tasks using shell scripting and tools (Ansible preferred).</li><li>
Troubleshoot OS issues, hardware failures, and performance bottlenecks.</li><li>
Configure storage, file systems, LVM, NFS, and virtualization.</li><li>
Implement backup strategies and system recovery processes.</li><li>
Maintain user accounts, groups, and security policies.</li><li>
Ensure compliance with IT and security standards.</li></ul><h3 class="jobSectionHeader"> 
Required Skills &amp; Experience</h3><ul><li>
7&ndash;8 years of Linux/Unix system administration experience.</li><li>
Strong experience in shell scripting (Bash, Korn, Perl).</li><li>
Familiarity with cloud platforms (AWS, Azure, GCP is a plus).</li><li>
Experience with automation (Ansible, Puppet, Chef).</li><li>
Strong understanding of networking (TCP/IP, DNS, firewalls).</li><li>
Experience with monitoring tools (Nagios, Grafana, Prometheus).</li><li>
Excellent troubleshooting and analytical skills.</li></ul>
SkyBSUeJ1S</div>

Linux/Unix System Administrator

<div><h1 class="jobSectionHeader">Control-M &amp; Grafana Administrator/Developer</h1>
Job Title: Control-M &amp; Grafana Administrator/Developer 
Experience: 7&ndash;8 Years 
Location: Remote 
Employment Type: Full-Time<h3 class="jobSectionHeader">
Role Summary</h3>
We are looking for a talented Control-M and Grafana Administrator/Developer with strong experience in workload automation and dashboard development. The role involves administering scheduling environments, building workflows, monitoring jobs, and developing dashboards to support operations and performance management.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Administer, configure, and maintain Control-M environments.</li><li>
Develop, schedule, and optimize batch workflows.</li><li>
Monitor daily batch cycles and resolve job failures.</li><li>
Integrate Control-M with various applications, databases, and APIs.</li><li>
Develop Grafana dashboards for monitoring, KPIs, and performance reporting.</li><li>
Maintain data sources for Grafana (Prometheus, Elastic, SQL, etc.).</li><li>
Ensure platform security, access control, and audit compliance.</li><li>
Automate repetitive tasks and improve workflow efficiency.</li><li>
Collaborate with DevOps, Infrastructure, and Application teams.</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Experience</h3><ul><li>
7&ndash;8 years of experience with Control-M administration and workflow development.</li><li>
Strong hands-on experience creating Grafana dashboards.</li><li>
Solid understanding of job dependencies, triggers, and scheduling principles.</li><li>
Proficiency with Linux/Unix environments and scripting.</li><li>
Experience with monitoring and alerting systems.</li><li>
Ability to troubleshoot job failures and system issues.</li><li>
Strong communication and documentation skills.</li></ul>
rl0rx4BwvA</div>

Control-M - Grafana Administrator/Developer

H2o Labs

Data EngineerTiming: 05:00 PM to 02:00 AMJob Type: Full-Time (On-site)Location: Johar TownAbout the Role We are looking for a highly skilled and versatile Data Engineer to join our team. The ideal candidate will have expertise in building and maintaining scalable data infrastructure, focusing on data pipelines, cloud technologies, and data processing systems. This role requires hands-on experience in designing and deploying reliable, high-performance data solutions that meet the demands of large-scale operations. Key Responsibilities:<ul><li>Data Infrastructure &amp; Pipeline Development:</li><li>Design, build, and maintain efficient, scalable, and robust data pipelines for data extraction, transformation, and loading (ETL).</li><li>Develop and optimize SQL queries for complex data processing and ensure high data quality.</li><li>Implement and manage automated data workflows using orchestration tools like Airflow.</li><li>Cloud Data Platforms:</li><li>Work extensively with cloud-based platforms like AWS, Azure, or GCP to build and manage data infrastructure.</li><li>Utilize services such as Azure Data Factory, AWS Glue, BigQuery, or similar tools for data ingestion, transformation, and storage.</li><li>Implement monitoring, logging, and alerting to ensure continuous data pipeline performance and reliability.</li><li>Data Modeling &amp; Warehousing:</li><li>Design and implement dimensional models and maintain data warehouses to support business intelligence and analytics.</li><li>Develop and manage data schemas, ensuring consistency and integrity across systems.</li><li>Optimize data storage, querying, and retrieval processes to meet business needs.</li><li>Data Processing &amp; Stream Handling:</li><li>Build real-time data pipelines using tools like Apache Kafka, Spark, or similar technologies for data stream processing.</li><li>Handle large datasets and complex transformations to support analytical workflows and reporting.</li></ul>Key Skills &amp; Qualifications:<ul><li>Bachelor's degree in Computer Science, Data Engineering, or a related field (or equivalent experience).</li><li>Proficiency in SQL, with hands-on experience in complex queries, joins, and optimizations.</li><li>Strong experience with cloud platforms (AWS, Azure, GCP), with tools like Azure Data Factory, AWS Glue, BigQuery, or similar.</li><li>Expertise in building and maintaining scalable ETL pipelines using tools like Airflow, DBT, or Spark.</li><li>Experience with data modeling and warehousing, including dimensional modeling, schema design, and data integrity management.</li><li>Familiarity with stream processing technologies like Kafka and Spark.</li><li>Hands-on experience with containerization tools like Docker and orchestration platforms like Kubernetes.</li><li>Strong problem-solving skills and the ability to troubleshoot and optimize complex data workflows.</li><li>Experience with data security, governance, and compliance standards.</li><li>Strong communication skills to collaborate effectively with technical and non-technical teams.</li></ul>Preferred Skills:<ul><li>Experience with data visualization tools (e.g., Power BI, Tableau) for creating dashboards and reporting.</li><li>Familiarity with Python for data transformations, automation, and scripting.</li><li>Experience with metadata management and data cataloguing tools.</li><li>Familiarity with monitoring tools like Datadog, Prometheus, or Grafana.</li></ul>Benefits<ul><li>Commissions- On Success fulling closing of project</li><li>Meal Facility &ndash; Enjoy delicious meals at the office.</li><li>Gym Facility &ndash; Stay active with access to our partner gym.</li><li>Health Support &ndash; Get free medical consultations when needed.</li><li>Restaurant Perks &ndash; Enjoy special discounts and offers through our restaurant collaborations.</li></ul>Job Type: Full-timePay: Rs150,000.00 - Rs250,000.00 per monthWork Location: In person

Data Engineer

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