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KEMAT CONSULTING

Position Title: Data Engineer Architect Department: Data &amp; Technology Employment Type: Full-Time Location: On-site &mdash; Blue Area, IslamabadTime: 9am-5pm (Uk-Time)Position OverviewThe Data Engineer Architect is responsible for designing robust, scalable, and efficient data architectures and pipelines to support enterprise-wide analytics, reporting, and machine learning initiatives. This role ensures seamless ingestion, transformation, governance, and availability of data across cloud environments. The architect will drive technical direction, security, and quality across all data systems while supporting migration from legacy infrastructures to modern cloud-based platforms.Key Responsibilities1. Data Architecture &amp; Design<ul><li>Design scalable, secure, and future-ready enterprise data architectures.</li><li>Build strong and flexible data models, ingestion frameworks, and transformation layers.</li><li>Define schemas for various data types (transactional, structured, unstructured, CRM, web analytics).</li><li>Create data environments that support both experimental (&ldquo;Lab&rdquo;) and production (&ldquo;Factory&rdquo;) analytics.</li><li>Build structures enabling predictive, prescriptive analytics and ML/AI model training.</li><li>Ensure architecture supports BI/reporting tools such as PowerBI.</li></ul>2. Data Engineering &amp; Pipeline Development<ul><li>Design and implement robust ETL/ELT data pipelines for diverse internal and external data sources.</li><li>Develop high-performance batch and real-time data processing pipelines using Spark, Kafka, Databricks, or similar tools.</li><li>Optimize pipelines for performance, efficiency, and cost-effectiveness.</li><li>Support ingestion and migration of legacy data into Snowflake or other cloud warehouses.</li></ul>3. Cloud &amp; Infrastructure<ul><li>Architect cloud-based data engineering, BI, and data science solutions on Azure, AWS, or GCP.</li><li>Build and maintain modern cloud data lakes and transformed data layers.</li><li>Work with engineering teams to design complex cloud-based environments.</li><li>Implement CI/CD pipelines and automation for data workflows.</li><li>Lead migration of legacy physical infrastructures into cloud platforms.</li></ul>4. Security, Governance &amp; Monitoring<ul><li>Apply &ldquo;quality by design&rdquo; and &ldquo;security by design&rdquo; principles in all architectures.</li><li>Ensure compliance with GDPR and company data governance frameworks.</li><li>Implement data validation, monitoring, alerting, and telemetry systems (e.g., Sifflet).</li><li>Maintain metadata, data lineage, documentation, and governance structures.</li><li>Partner with governance teams to embed real-time alerting and monitoring.</li></ul>5. Collaboration &amp; Leadership<ul><li>Work closely with the Head of Data Engineering &amp; Data Platform to align with enterprise strategy.</li><li>Collaborate with product managers, data scientists, and analytics teams to translate business needs into actionable data solutions.</li><li>Provide technical guidance, direction, and support to engineers and project teams.</li><li>Communicate architectural decisions and technical recommendations clearly to stakeholders.</li></ul>Required QualificationsEducation<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, Information Systems, or a related field.</li></ul>Experience<ul><li>5+ years of experience in Data Engineering or Data Architecture.</li><li>Proven experience architecting cloud-based data engineering, BI, and/or data science solutions.</li><li>Experience migrating legacy data solutions into the cloud (refactoring, modernization).</li><li>Strong experience with database technologies, data modeling, and schema design.</li><li>Experience building data structures that support first- and third-party data analysis under GDPR guidelines.</li></ul>Technical Skills<ul><li>Very strong SQL skills.</li><li>Proficiency in Python and advanced data modeling.</li><li>Experience with Snowflake, Azure Synapse, BigQuery, or Redshift.</li><li>Hands-on experience with ETL/ELT tools (Azure Data Factory, dbt, Informatica, Talend).</li><li>Familiarity with Spark, Kafka, Databricks, Hadoop ecosystem.</li><li>Experience with Docker, Kubernetes, Git, DevOps, and CI/CD workflows.</li><li>Strong understanding of data warehousing methodologies (Kimball/Inmon).</li><li>Knowledge of telemetry, monitoring, and alerting tools.</li></ul>Preferred Skills<ul><li>Professional certifications (Azure Data Engineer, AWS Big Data, Google Data Engineer).</li><li>Experience supporting AI/ML teams with high-quality training datasets.</li><li>Experience with MLOps or ML pipeline automation.</li><li>Strong analytical, architectural, and communication abilities.</li></ul>Soft Skills<ul><li>Excellent communication and documentation skills.</li><li>Strong problem-solving and critical thinking abilities.</li><li>Leadership mindset with the ability to mentor junior engineers.</li><li>Detail-oriented with focus on data quality, accuracy, and governance.</li></ul>What We Offer<ul><li>Competitive salary and comprehensive benefits package.</li><li>On-site working environment in Blue Area, Islamabad.</li><li>Exposure to modern technology stacks and architectural frameworks.</li><li>Opportunities for continuous learning, certifications, and career growth.</li></ul>Job Type: Full-timePay: Rs400,000.00 - Rs600,000.00 per monthWork Location: In person

Data Engineer Architect

Datamatics Technologies

<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>
</div>

Lead Confluent Kafka Engineer / Architect

Datamatics Global Services Ltd

<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>
A5ydtxxGoM</div>

Cloudelligent

<div>Position Title: AWS Data Engineer 
Job Timings: 8:00 AM &ndash; 5:00 PM CST (6:00 PM- 3:00 AM PKT) 
Location: Islamabad 
 
About Cloudelligent 
 
Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to Startups &amp; SMBs. Being a next-gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed. 
 
Job Objective 
 
We are seeking an experienced Data Engineer with a strong background in data engineering, database optimization, and cloud-based data solutions, particularly on AWS. The ideal candidate will have hands-on experience with both SQL and NoSQL databases and be proficient in migrating, managing, and modernizing data platforms. You should be skilled in designing and maintaining scalable, secure, and high-performance data infrastructure in the cloud. 
 
Responsibilities<ul><li>
Design, implement, and manage cloud-based data infrastructure using Amazon RDS, Aurora, and EC2-hosted databases.</li><li>
Administer and optimize PostgreSQL, MySQL, and Oracle databases, ensuring high availability, performance, and cost-efficiency.</li><li>
Perform data migrations and transformations using AWS Database Migration Service (DMS) and other tools.</li><li>
Collaborate with data architects, engineers, and DevOps teams to deliver reliable and scalable data solutions.</li><li>
Support developers by analyzing and optimizing SQL queries and data workflows for performance and efficiency.</li><li>
Monitor and troubleshoot data issues, ensuring availability, security, and compliance.</li><li>
Implement data automation, infrastructure as code (IaC), and CI/CD pipelines for database and data pipeline deployments.</li><li>
Ensure data security, encryption, and compliance with industry best practices and internal policies.</li><li>
Maintain comprehensive documentation on data architecture, processes, and procedures.</li><li>
Stay up to date with emerging AWS features, data engineering tools, and industry best practices.</li></ul> 

Requirements<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, or a related field.</li><li>
4+ years of experience in data engineering or database engineering, including hands-on experience with databases on AWS.</li><li>
Strong experience with AWS data services such as RDS, Aurora, and DMS.</li><li>
Proficient in performance tuning, indexing strategies, partitioning, and query optimization.</li><li>
Strong scripting and automation experience using Python, Bash, or similar tools.</li><li>
Experience with infrastructure as code tools like Terraform or CloudFormation.</li><li>
Solid understanding of backup strategies, monitoring tools, and security best practices.</li><li>
Familiarity with multi-account AWS environments and cross-region replication.</li><li>
Excellent communication and problem-solving skills.</li></ul> 

Highly Desirable<ul><li>
AWS Certification (e.g., AWS Certified Data Engineer &ndash; Associate, AWS Certified Solutions Architect &ndash; Associate).</li><li>
Experience with large-scale on-prem to AWS data migrations.</li><li>
Familiarity with data governance, compliance, and auditing tools.</li><li>
Exposure to data lake architecture and AWS services like Glue, Athena, or Kinesis is a plus.</li></ul>
OJyT29uvzu</div>

AWS Data Engineer

Auroxa Tech

Senior DevOps Engineer At Auroxa Tech, we're on a mission to revolutionize the compliance industry with AI-powered workflows. We are a fast-growing, venture-backed startup tackling complex challenges with a small, brilliant, and highly motivated team. We believe in moving quickly, taking ownership, and building products that have a massive impact. Our engineering culture is built on a foundation of first-principles thinking and a drive to build reliable, scalable systems. We're looking for a foundational member of our team to build and scale the infrastructure that powers our vision.The RoleAs a Senior DevOps Engineer at Auroxa Tech, you will architect our cloud infrastructure and deployment pipelines. You will be responsible for building a secure, scalable, and highly available platform on AWS. This is a high-impact role where you will work directly with the founding engineering team to establish best practices in CI/CD, Infrastructure as Code (IaC), and Observability. We&rsquo;re seeking an engineer who is not only a cloud expert but also possesses strong computer science fundamentals and a passion for solving complex problems.What You'll Do<ul><li>Build the Foundation: Design, build, and manage our entire cloud infrastructure on AWS using Infrastructure as Code (IaC) principles with tools like Terraform.</li><li>Automate Everything: Develop and maintain sophisticated CI/CD pipelines to enable our software engineers to ship code safely, quickly, and reliably.</li><li>Orchestrate Services: Deploy, scale, and manage our microservices architecture using Kubernetes (EKS).</li><li>Ensure Reliability: Implement a comprehensive Observability stack, including monitoring, logging, tracing, and alerting, to ensure system health and performance.</li><li>Champion Security: Integrate security foundations and DevSecOps best practices throughout the infrastructure and software development lifecycle.</li><li>Collaborate &amp; Solve: Partner with the software engineering team to troubleshoot production issues, optimize performance, and build resilient systems.</li></ul>Required Qualifications<ul><li>5+ years of experience in a DevOps, Site Reliability Engineering (SRE), or similar infrastructure-focused role.</li><li>A strong grasp of computer science fundamentals, including data structures, algorithms, and distributed systems.</li><li>Deep, hands-on experience with AWS (Amazon Web Services) services (e.g., EKS, RDS, IAM).</li><li>Expert-level knowledge of Kubernetes for container orchestration in a production environment.</li><li>Proficiency with IaC tools, especially Terraform.</li><li>Demonstrated experience building and managing CI/CD pipelines (e.g., GitHub Actions).</li><li>A solid understanding of Observability principles and experience with tools like Prometheus, Grafana, OpenTelemetry, or Datadog.</li><li>Strong scripting and automation skills (e.g., Python, Go, Bash).</li></ul>Nice-to-Haves<ul><li>Experience with service mesh technologies like Istio or Linkerd.</li><li>Knowledge of network security (VPCs, security groups, NACLs).</li><li>Experience managing production databases (e.g., PostgreSQL, Redis).</li><li>AWS Certified DevOps Engineer - Professional certification.</li><li>Experience with Duplo Cloud.</li></ul>Job Type: Full-timePay: Rs200,000.00 - Rs300,000.00 per monthWork Location: In person

Senior DevOps Engineer

Cortech sols pvt ltd

Job Title: Technical Lead | Python + AI Location: Gulberg Greens, Islamabad Timings: 10:00 AM - 7:00 PM Type: Full-Time &ndash; OnsitePosition OverviewWe are looking for a highly skilled Technical Lead with strong expertise in Python frameworks and AI/ML technologies. The ideal candidate will lead the development team, architect solutions, and ensure the successful delivery of high-quality, scalable products. This role requires deep technical knowledge, leadership skills, and the ability to drive innovation in AI-powered systems.Key Responsibilities:<ul><li>Lead end-to-end development using modern Python frameworks (Django, Flask, FastAPI)</li><li>Architect and deploy AI/ML solutions, including model training, optimization, and integration</li><li>Guide the team in implementing scalable backend systems and APIs</li><li>Oversee code quality, perform reviews, and enforce best engineering practices</li><li>Collaborate with design, product, and data teams for smooth project execution</li><li>Mentor junior developers and contribute to technical growth initiatives</li></ul>Key Skills:<ul><li>Strong command of Python and its frameworks (Django / Flask / FastAPI)</li><li>Experience in AI/ML, deep learning, or NLP (TensorFlow, PyTorch, Scikit-learn, etc.)</li><li>Familiarity with data pipelines, APIs, microservices, and cloud deployment</li><li>Solid understanding of system architecture and performance optimization</li><li>Strong leadership, communication, and problem-solving abilities</li></ul>Job Type: Full-timeWork Location: In person

Technical Lead (Python | AI )

Creativelogicx

Responsibilities:<ul><li>Design, implement, and manage cloud infrastructure on AWS.</li><li>Build and maintain CI/CD pipelines using tools like Jenkins, GitLab CI, or GitHub Actions.</li><li>Automate deployment, monitoring, and scaling of applications.</li><li>Implement Infrastructure as Code (IaC) using Terraform or CloudFormation.</li><li>Monitor system performance, troubleshoot issues, and ensure high availability.</li><li>Manage containerized environments using Docker and Kubernetes/EKS.</li><li>Work closely with development teams for smooth integration and deployment.</li><li>Configure and maintain logging, monitoring, and alerting systems (CloudWatch, Prometheus, Grafana).</li><li>Ensure security best practices across the AWS environment including IAM, VPC, and networking.</li><li>Optimize cloud costs and improve system efficiency.</li></ul>Requirements:<ul><li>Bachelor&rsquo;s degree in Computer Science, IT, or related field.</li><li>3&ndash;5+ years of DevOps experience (AWS-focused).</li><li>Strong hands-on experience with AWS services (EC2, S3, RDS, Lambda, VPC, IAM, EKS).</li><li>Proficiency with CI/CD tools and automation frameworks.</li><li>Experience with scripting (Python, Bash).</li><li>Knowledge of Docker, Kubernetes, and microservice deployments.</li><li>Experience with Terraform or AWS CloudFormation.</li><li>Familiarity with monitoring tools and log management.</li><li>Strong problem-solving and collaboration skills.</li><li>AWS certifications (Solutions Architect, DevOps Engineer) are a plus.</li></ul>Job Type: Full-timeWork Location: In person

Sr DevOps Engineer

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Data Engineer Architect

Lead Confluent Kafka Engineer / Architect

Lead Confluent Kafka Engineer / Architect

AWS Data Engineer

Senior DevOps Engineer

Technical Lead (Python | AI )

Sr DevOps Engineer