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aws devops senior

Watan First Solutions

<div>
 
 DevSecOps Engineer
 
 
 
 
 
 A senior engineer who owns our software delivery pipeline and the security inside it: CI/CD, Infrastructure-as-Code, containers, and security checks that run early on every build (shift-left). You work across Development, Security, and QA, on AWS, Azure, and GCP.
 
 
 
 
 
 Responsibilities
 
 
 &bull; Design, build, and maintain secure CI/CD pipelines across GitHub Actions, GitLab CI, and Bitbucket Pipelines with reusable templates and shared libraries.
 
 
 &bull; Implement Infrastructure-as-Code (Terraform) and configuration management (Ansible); administer Linux hosts and runners.
 
 
 &bull; Build and operate containerized workloads (Docker, Kubernetes; OpenShift a plus) across AWS, Azure, and GCP with GitOps delivery and multi-environment promotion.
 
 
 &bull; Embed security gates into the pipeline: SAST/SCA, SBOM generation, dependency compliance, secrets management (HashiCorp Vault), and artifact signing (Sigstore).
 
 
 &bull; Manage artifact &amp; dependency repositories (JFrog Artifactory / Nexus); set up observability and monitoring (Prometheus/Grafana or cloud monitoring).
 
 
 &bull; Collaborate with Security &amp; QA to integrate automated testing and vulnerability management; author documentation and run enablement workshops.
 
 
 
 
 
 Requirements
 
 
 &bull; Bachelor's in Computer Science, Software Engineering, IT, or a related field.
 
 
 &bull; 6&ndash;10+ years in DevOps / SRE / Build &amp; Release with hands-on production delivery (not sandbox only).
 
 
 &bull; Deep CI/CD pipeline engineering, secure pipeline patterns, and advanced branching strategies.
 
 
 &bull; Hands-on multi-cloud experience (AWS &middot; Azure &middot; GCP) and multiple Git/CI platforms (GitHub &middot; GitLab &middot; Bitbucket).
 
 
 &bull; Strong Docker + Kubernetes; Terraform + Ansible; Linux administration and scripting.
 
 
 &bull; Application security automation: SAST/SCA, SBOM, secrets (Vault), code signing. Regulated-sector experience preferred.
 
 
 
 
 
 Soft skills
 
 
 &bull; Excellent communication and a coaching mindset.
 
 
 &bull; High ownership and accountability.
 
 
 &bull; Cross-team collaboration (Dev, Security, QA).
 
 
 &bull; Clear, structured technical documentation.
 
 
 
 
 
 #DevSecOps #DevOps #CloudSecurity #Hiring #WatanFirstSolutions
 
</div>

DevSecOps Engineer

Intellias

<div>
 
 
 Senior Python Engineer &ndash; Multi-Agent AI (AWS, LangGraph)
 
 
 
 
 
 
 
 About the Role
 
 
 
 We are looking for a
 
 Senior Python Engineer
 
 to design and build enterprise-grade
 
 multi-agent AI systems
 
 on AWS. In this role, you will architect and develop intelligent agent solutions using
 
 LangGraph
 
 ,
 
 LangChain
 
 , and
 
 AWS Bedrock AgentCore Runtime
 
 , focusing on scalable orchestration, stateful workflow execution, human-in-the-loop (HITL) processes, and distributed agent collaboration.
 
 
 You will work closely with architects, platform engineers, and product teams to deliver production-ready AI solutions that are reliable, scalable, and aligned with enterprise engineering standards.
 
 
 
 
 
 
 Project Overview
 
 
 
 Our customer is a multinational corporation with more than a century of history and operations in over 180 countries. One of its key strategic initiatives is the development and adoption of a new generation of Reduced-Risk Products (RRPs), targeting more than one billion consumers worldwide.
 
 
 Intellia partners with the customer to engineer a comprehensive software ecosystem supporting innovative IoT products, digital commerce, and enterprise platforms. The engineering organization develops core platform components powering best-in-class eCommerce, Digital Marketing, and IoT solutions.
 
 
 As a
 
 Senior Python Engineer
 
 , you will join the
 
 Core Architecture Team
 
 , contributing to the design and implementation of a modern Digital Engineering Enterprise Platform.
 
 
 The platform consists of services and applications that accelerate software delivery by providing engineering teams with reusable technologies, standardized development practices, compliance controls, and operational capabilities across more than 700 enterprise applications.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and maintain enterprise-grade multi-agent AI applications using Python, LangGraph, and LangChain.
 </li>
 <li>
 Build scalable agent workflows leveraging AWS Bedrock AgentCore Runtime.
 </li>
 <li>
 Implement advanced orchestration patterns, including supervisor/worker, fan-out/fan-in, and collaborative multi-agent architectures.
 </li>
 <li>
 Design stateful workflow execution using LangGraph checkpointing, recovery, and persistence mechanisms.
 </li>
 <li>
 Develop resilient, fault-tolerant, and idempotent execution strategies for long-running AI workflows.
 </li>
 <li>
 Integrate Human-in-the-Loop (HITL) approval processes into business-critical agent workflows.
 </li>
 <li>
 Enable agent delegation and collaboration through Agent Gateway and Agent-to-Agent (A2A) communication.
 </li>
 <li>
 Implement memory, context management, and persistence strategies for AI agents.
 </li>
 <li>
 Optimize workflow scalability, reliability, observability, and performance within distributed cloud environments.
 </li>
 <li>
 Collaborate with platform, security, DevOps, and product teams to deliver production-ready AI solutions.
 </li>
 <li>
 Define engineering standards, testing strategies, and operational best practices for agent-based applications.
 </li>
 <li>
 Support deployment, monitoring, troubleshooting, and continuous improvement of AI solutions running on AWS.
 </li>
 </ul>
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, Software Engineering, or a related field.
 </li>
 <li>
 5+ years of professional Python software engineering experience.
 </li>
 <li>
 Hands-on experience building multi-step agent workflows with LangGraph.
 </li>
 <li>
 Strong experience with LangChain.
 </li>
 <li>
 Experience with AWS Bedrock AgentCore Runtime.
 </li>
 <li>
 Solid understanding of multi-agent orchestration patterns, including supervisor/worker and fan-out/fan-in architectures.
 </li>
 <li>
 Experience implementing LangGraph checkpointing and state management.
 </li>
 <li>
 Knowledge of Human-in-the-Loop (HITL) workflow design.
 </li>
 <li>
 Experience with Agent-to-Agent (A2A) delegation through Agent Gateway.
 </li>
 <li>
 Experience with workflow orchestration platforms such as Temporal, Apache Airflow, or similar.
 </li>
 <li>
 Strong understanding of distributed systems concepts, including checkpointing, idempotency, fault tolerance, and workflow recovery.
 </li>
 <li>
 Experience building scalable, cloud-native applications on AWS.
 </li>
 <li>
 Strong problem-solving, communication, and collaboration skills.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience evaluating AWS AgentCore Runtime maturity and enterprise adoption.
 </li>
 <li>
 Hands-on experience with AWS Bedrock Memory API.
 </li>
 <li>
 Experience integrating enterprise approval workflows into Human-in-the-Loop AI systems.
 </li>
 <li>
 Experience with AI observability, monitoring, and production operations.
 </li>
 <li>
 Familiarity with CI/CD pipelines and Infrastructure as Code in AWS environments.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us
 
 
 <ul>
 <li>
 Work on enterprise-scale AI initiatives for a global industry leader.
 </li>
 <li>
 Design and build next-generation multi-agent AI systems using cutting-edge AWS technologies.
 </li>
 <li>
 Influence architecture decisions and engineering best practices across large-scale platforms.
 </li>
 <li>
 Collaborate with highly experienced architecture and engineering teams on innovative cloud-native solutions.
 </li>
 <li>
 Opportunity to shape the future of enterprise AI orchestration in production environments.
 </li>
 </ul>
 
 
 
</div>

Senior Python Engineer – Multi-Agent AI (AWS, LangGraph)

Valeo

<div>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Deploy and maintain secure cloud infrastructure primarily on GCP (Google Cloud Platform) and AWS, ensuring seamless integration between services.
 </li>
 <li>
 Manage and optimize GKE (Google Kubernetes Engine) clusters for high-availability AI applications and microservices.
 </li>
 <li>
 Infrastructure as Code: Build and enforce Terraform strategies to provision and manage infrastructure, ensuring environments are reproducible and version-controlled.
 </li>
 <li>
 CI/CD &amp; Software Verification: Design and implement advanced CI/CD workflows using GitHub Actions, moving beyond simple deployments to create intelligent automation.
 </li>
 <li>
 Build robust verification pipelines that include automated testing, linting, security scanning, and quality gates before production release.
 </li>
 <li>
 Streamline the release process for backend and frontend applications, ensuring "one-click" reliability.
 </li>
 <li>
 Oversee the deployment, maintenance, and backup strategies for databases.
 </li>
 <li>
 Implement comprehensive monitoring and logging solutions (Prometheus, Grafana, Cloud Ops, Cloud Monitoring) to ensure system health, performance, and rapid incident response.
 </li>
 <li>
 Implement security best practices (IAM, VPC configuration, encryption) to protect sensitive AI data and intellectual property.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 
 Education &amp; Experience
 
 
 
 
 <ul>
 <li>
 B.Sc. or M.Sc. in Computer Science, Computer Engineering, or a related technical field.
 </li>
 <li>
 5+ years of relevant experience in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE).
 </li>
 <li>
 Proven experience acting as a Senior or Lead engineer, guiding architectural decisions.
 
 
 </li>
 </ul>
 
 
 Technical Requirements
 
 
 
 
 <ul>
 <li>
 Advanced hands-on experience with GCP (specifically GKE, VPC, IAM) and a working knowledge of AWS.
 </li>
 <li>
 Proven ability to design and implement robust, scalable, and secure cloud architectures.
 </li>
 <li>
 Mastery of Docker and Kubernetes administration.
 </li>
 <li>
 Strong proficiency in Terraform.
 </li>
 <li>
 Expert knowledge of GitHub Actions for building, test, build, and deploy pipelines.
 </li>
 <li>
 Experience managing PostgreSQL and ClickHouse databases.
 </li>
 <li>
 Deep understanding of Linux System Administration.
 </li>
 <li>
 Experience with AI/ML lifecycle tools (e.g., Kubeflow, MLflow, Vertex AI).
 </li>
 <li>
 Strong proficiency in Python and Bash scripting.
 </li>
 <li>
 Familiarity with DevSecOps tools and practices.
 </li>
 <li>
 Bonus: Official GCP Certifications (e.g., Professional Cloud Architect, Professional Cloud DevOps Engineer) and Kubernetes Certifications (e.g., CKA, CKAD, CKS) are highly preferred.
 </li>
 <li>
 Bonus: Knowledge of Javascript/Node.js is a strong plus.
 
 
 </li>
 </ul>
 
 
 Soft Skills &amp; Mindset
 
 
 
 
 <ul>
 <li>
 Ability to design long-term solutions rather than quick fixes.
 </li>
 <li>
 Excellent ability to explain complex cloud concepts to Data Scientists and business stakeholders.
 </li>
 <li>
 Comfortable working in a fast-paced environment with evolving requirements.
 </li>
 <li>
 Fluent English is a must.
 </li>
 </ul>
</div>

Senior DevOps Engineer, AI4ALL

شركة مسبار الكون لتقنية نظم المعلومات

<div>
 
 
 What You'll Do
 
 
 <ul>
 <li>
 Design and maintain CI/CD pipelines using
 
 Azure DevOps
 
 and Git.
 </li>
 <li>
 Automate build, testing, deployment, and release processes.
 </li>
 <li>
 Deploy and manage cloud infrastructure on
 
 AWS
 
 .
 </li>
 <li>
 Manage
 
 Docker
 
 containers and
 
 Kubernetes
 
 clusters.
 </li>
 <li>
 Implement Infrastructure as Code using
 
 Terraform
 
 .
 </li>
 <li>
 Monitor application performance and infrastructure health.
 </li>
 <li>
 Configure logging, monitoring, and alerting solutions.
 </li>
 <li>
 Improve system reliability, availability, scalability, and security.
 </li>
 <li>
 Collaborate with Software Engineers and QA teams to accelerate software delivery.
 </li>
 <li>
 Support production environments and troubleshoot infrastructure issues.
 </li>
 </ul>
 
 
 Required Skills
 
 
 <ul>
 <li>
 3+ years of experience as a DevOps Engineer.
 </li>
 <li>
 Strong hands-on experience with
 
 AWS
 
 services (EC2, ALB, RDS, VPC, IAM, S3, CloudWatch).
 </li>
 <li>
 Experience with
 
 Docker
 
 and
 
 Kubernetes
 
 .
 </li>
 <li>
 Experience with
 
 Azure DevOps
 
 , GitHub Actions, or Jenkins.
 </li>
 <li>
 Strong knowledge of Linux administration.
 </li>
 <li>
 Experience with
 
 Terraform
 
 , Ansible, or CloudFormation.
 </li>
 <li>
 Strong understanding of networking, DNS, SSL, security, and load balancing.
 </li>
 <li>
 Experience with monitoring tools such as Prometheus, Grafana, ELK, or CloudWatch.
 </li>
 <li>
 Excellent troubleshooting and automation skills.
 </li>
 </ul>
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience with
 
 .NET 8
 
 applications.
 </li>
 <li>
 Experience supporting
 
 Microservices Architecture
 
 .
 </li>
 <li>
 Knowledge of
 
 SQL Server
 
 administration.
 </li>
 <li>
 Experience with
 
 RabbitMQ
 
 or Kafka.
 </li>
 <li>
 AWS or Azure Cloud certifications are a plus.
 </li>
 </ul>
 
 
 
</div>

Senior DevOps Engineer

Arrow Electronics

<div>
 
 Position
 
 
 
 Senior Data Engineer
 
 
 
 Job Description
 
 
 
 Seeking an experienced Senior Data Engineer to design, development, and optimization of
 
 
 our data pipelines, data models, and analytics infrastructure. The ideal candidate has
 
 
 strong experience in building scalable data platforms across operational systems and
 
 
 enterprise data warehouses.
 
 
 Key Responsibilities
 
 
 Core Responsibilities
 
 
 <ul>
 <li>
 Design, build, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
 </li>
 <li>
 Develop high-quality data integration workflows using modern data engineering tools and frameworks.
 </li>
 <li>
 Optimize data processing performance, storage usage, and pipeline reliability.
 </li>
 <li>
 Implement data quality checks, validation rules, and monitoring dashboards.
 </li>
 <li>
 Collaborate with data analysts, data scientists, and business teams to deliver reliable datasets suitable for reporting and analytics.
 </li>
 <li>
 Manage data security, access controls, and governance best practices.
 </li>
 <li>
 Support production workflows, troubleshoot issues, and improve platform stability.
 
 
 </li>
 </ul>
 Additional Responsibilities for Data Models &amp; Structures (Operational + DW)
 
 
 <ul>
 <li>
 Own the design and maintenance of logical and physical data models for
 
 
 </li>
 </ul>
 operational systems and enterprise data warehouse (OLTP + DWH).
 
 
 <ul>
 <li>
 Define and enforce data modeling standards, naming conventions, and schema governance.
 </li>
 <li>
 Translate business processes into efficient database schemas, including star/snowflake models.
 </li>
 <li>
 Optimize queries and database structures for high-performance analytics and real-time data access.
 </li>
 <li>
 Work closely with DBAs, architects, and product teams to ensure data models meet scalability and performance requirements.
 </li>
 <li>
 Lead database refactoring efforts, schema evolution, and versioning processes.
 </li>
 <li>
 Perform impact analysis for schema changes across upstream and downstream systems.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 Must-Have Requirements
 
 
 <ul>
 <li>
 5+ years of experience as a Data Engineer or similar role.
 </li>
 <li>
 Strong Python Skills and Experience
 </li>
 <li>
 Strong SQL /PLSQL skills and experience with relational databases (Oracle, PostgreSQL, MySQL, or similar).
 </li>
 <li>
 Experience with NoSQL databases and streaming systems (Kafka, Kinesis, etc.).
 </li>
 <li>
 Hands-on experience with data processing frameworks (Spark, Databricks, or similar).
 </li>
 <li>
 Proficiency with cloud platforms (AWS).
 </li>
 <li>
 Experience with workflow orchestration (Airflow, Prefect, or similar).
 </li>
 <li>
 Strong understanding of ETL/ELT patterns, data warehousing concepts, and BI fundamentals.
 </li>
 <li>
 Proven ability to design robust data models and optimize database structures.
 </li>
 <li>
 Knowledge of data governance, cataloging, and metadata management.
 
 
 </li>
 </ul>
 Nice-to-Have Skills
 
 
 <ul>
 <li>
 Familiarity with CI/CD, infrastructure-as-code, and DevOps practices.
 </li>
 <li>
 Experience with real-time analytics or high-volume distributed data systems
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Senior Data Engineer

<div>
 Valeo est une entreprise mondiale de haute technologie qui con&ccedil;oit des solutions r&eacute;volutionnaires pour r&eacute;inventer la mobilit&eacute;. Nous sommes un &eacute;quipementier partenaire des constructeurs automobiles et des acteurs de la nouvelle mobilit&eacute; dans le monde entier. Notre vision ? Inventer une mobilit&eacute; plus verte et plus s&ucirc;re, gr&acirc;ce &agrave; des solutions ax&eacute;es sur la conduite intuitive et la r&eacute;duction des &eacute;missions de CO2. Nous sommes leaders dans nos domaines d'activit&eacute; et reconnus comme l'une des plus grandes entreprises innovantes au monde.
 
 
 
 Mission
 
 
 
 GISACC is Valeo holding group IS application center in Cairo, where the company's digital transformation is taken to a new level. We aim to build scalable and serverless applications that incrementally add value everyday. Our Senior Full Stack developers engineers are a very crucial part in achieving this where they play a big role in modifying and improving existing systems. This role requires deep technical expertise, and communication abilities to facilitate the communication and alignment between different technical and business stakeholders.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Spec, design, develop, test, deploy, maintain and improve software
 </li>
 <li>
 Contribute to system architecture~ Design scalable, secure, and high-performance systems.
 </li>
 <li>
 Work closely with project managers and business owners to set project priorities, deadlines and deliverables
 </li>
 <li>
 Collaborate with product owners, tech-leads and software architects on user experience and application development roadmap
 </li>
 <li>
 Provide support to other team members across multiple software applications.
 </li>
 <li>
 Responsible for full stack feature implementation (backend and frontend)
 </li>
 <li>
 End to end and close collaboration with software/infrastructure architects on complex features
 </li>
 <li>
 Identify and establish patterns and best practices for building excellent software applications
 
 
 </li>
 </ul>
 
 
 Education/Training
 
 
 
 
 <ul>
 <li>
 BSc degree in computer engineering, computer science or any similar technical field of study.
 
 
 </li>
 </ul>
 
 
 Professional
 
 
 Experience and
 
 
 
 
 Key Competences
 
 
 
 
 <ul>
 <li>
 3 to 6 years of relevant experience.
 </li>
 <li>
 Good knowledge in Agile Scrum
 </li>
 <li>
 Business processes understanding
 </li>
 <li>
 Excellent problem-solving skills
 </li>
 <li>
 Excellent Troubleshooting and debugging skills
 </li>
 <li>
 Team spirit and excellent communication abilities
 </li>
 <li>
 Good Client management skills and organizational skills
 </li>
 <li>
 GCP &amp; Cloud Operations related knowledge is a must
 </li>
 <li>
 Good DevOps knowledge is a plus
 </li>
 <li>
 Good knowledge in monitoring or log analysis tools (ex. Cloud Logging, Cloud Monitoring, Error Reporting, &hellip;)
 </li>
 <li>
 Good knowledge in Terraform and Cloud automation is a plus
 </li>
 <li>
 Azure, AWS, or GCP certifications are a plus.
 
 
 </li>
 </ul>
 
 
 Languages
 
 
 
 
 <ul>
 <li>
 Excellent command of English language is a must (Written and Verbal)
 </li>
 <li>
 French is a plus.
 
 
 </li>
 </ul>
 
 
 Technical Skills
 
 
 
 
 <ul>
 <li>
 Software development experience in Java and Spring framework
 </li>
 <li>
 Strong fundamentals of distributed systems and highly scalable applications on cloud platforms
 </li>
 <li>
 Excellent proficiency of developing applications using SQL or NoSQL databases
 </li>
 <li>
 Solid concepts grasp of OOP, design patterns and REST APIs
 </li>
 <li>
 Excellent foundations of the latest web standards, including HTML5 and CSS3
 </li>
 <li>
 Knowledge of web libraries and frameworks such as Angular, VueJS or React
 </li>
 <li>
 Knowledge of backend web libraries and frameworks such as Spring
 </li>
 <li>
 Configuration management proficiency using Git
 </li>
 <li>
 Experience with CI/CD concepts and pipelines
 </li>
 <li>
 Experience with any Cloud Platform is a must (GCP/AWS/Azure)
 </li>
 <li>
 Highly analytical mindset and problem solving skills
 </li>
 <li>
 Excellent troubleshooting and debugging skills
 </li>
 <li>
 Working proficiency and communication skills in verbal and written English
 </li>
 <li>
 High sense of ownership and responsibility
 </li>
 <li>
 Familiarity with Google Cloud Platform or AWS is a plus
 
 
 </li>
 </ul>
 
 Position~
 
 
 
 R&amp;D IS Engineer
 
 
 
 D&eacute;partement~
 
 
 
 R&amp;D DSIS App Team
 
 
 
 Schedule~
 
 
 
 Temps plein
 
 
 
 Employee Status~
 
 
 
 CDI
 
 
 
 Type de contrat~
 
 
 
 
 Job Posting Date~
 
 
 
 2025-01-20
 
 
 
 Join Us !
 
 
 Being part of our team, you will join~
 
 
 <ul>
 <li>
 one of the largest global innovative companies, with more than 20,000 engineers working in Research &amp; Development
 </li>
 <li>
 a multi-cultural environment that values diversity and international collaboration
 </li>
 <li>
 more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth
 </li>
 <li>
 a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development
 
 
 </li>
 </ul>
 More information on Valeo~ https~//www.valeo.com
 
</div>

Senior Full Stack Developer, GISACC

QNBeyond Plus

<div>
 
 About the Role
 
 
 We are seeking a highly skilled
 
 Infrastructure &amp; DevSecOps Lead
 
 to lead the design, implementation, and management of our infrastructure and DevSecOps practices.
 
 
 In this role, you will be responsible for ensuring the scalability, reliability, and security of our infrastructure while driving the adoption of DevSecOps principles across the engineering organization.
 
 
 You will work closely with development, security, and operations teams to build secure and automated deployment pipelines that support our digital banking platform.
 
 
 Key Responsibilities
 
 
 Infrastructure Management
 
 <ul>
 <li>
 Design and manage scalable, secure, and highly available infrastructure environments.
 </li>
 <li>
 Oversee infrastructure provisioning and configuration across development and production environments.
 </li>
 <li>
 Ensure infrastructure reliability, performance, and availability.
 </li>
 </ul>
 
 DevSecOps Implementation
 
 <ul>
 <li>
 Implement and maintain
 
 CI/CD pipelines
 
 with integrated security practices.
 </li>
 <li>
 Automate infrastructure deployment using
 
 Infrastructure as Code (IaC)
 
 tools.
 </li>
 <li>
 Integrate security testing and compliance checks into the software development lifecycle.
 </li>
 </ul>
 
 Cloud &amp; Platform Engineering
 
 <ul>
 <li>
 Manage containerized environments and orchestration platforms.
 </li>
 <li>
 Optimize system performance and infrastructure costs.
 </li>
 </ul>
 
 Security &amp; Compliance
 
 <ul>
 <li>
 Ensure infrastructure and pipelines comply with security standards and regulatory requirements.
 </li>
 <li>
 Implement monitoring, logging, and vulnerability management practices.
 </li>
 </ul>
 
 Team Leadership
 
 <ul>
 <li>
 Lead and mentor DevOps and infrastructure engineers.
 </li>
 <li>
 Promote best practices for DevSecOps, automation, and platform reliability.
 </li>
 </ul>
 
 Required Qualifications
 
 
 Experience
 
 <ul>
 <li>
 Minimum 9
 
 + years of experience in infrastructure, DevOps, or platform engineering
 
 </li>
 <li>
 Proven experience leading
 
 DevOps or infrastructure teams
 
 </li>
 </ul>
 
 Technical Skills
 
 <ul>
 <li>
 CI/CD tools (Jenkins, GitLab CI/CD, or similar)
 </li>
 <li>
 Containerization technologies (Docker)
 </li>
 <li>
 Container orchestration platforms (Kubernetes)
 </li>
 <li>
 Infrastructure as Code tools (Terraform, Ansible, or similar)
 </li>
 <li>
 Linux systems administration
 </li>
 <li>
 Monitoring and logging tools
 </li>
 </ul>
 
 Security
 
 <ul>
 <li>
 Experience integrating
 
 security practices into CI/CD pipelines
 
 </li>
 <li>
 Knowledge of
 
 application and infrastructure security best practices
 
 </li>
 </ul>
 
 Professional Skills
 
 <ul>
 <li>
 Strong leadership and communication skills
 </li>
 <li>
 Experience working in
 
 Agile development environments
 
 </li>
 <li>
 Strong troubleshooting and problem-solving abilities
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 Experience with
 
 cloud platforms (AWS, Azure, or GCP)
 
 </li>
 <li>
 Experience working in
 
 fintech, digital banking, or regulated industries
 
 </li>
 <li>
 Knowledge of
 
 DevSecOps frameworks and security automation
 
 </li>
 <li>
 Experience implementing
 
 high-availability production infrastructure
 
 </li>
 </ul>
</div>

Infrastructure & DevSecOps Lead

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