devops engineer

Oliver Bernard

<div>
 
 
 DevOps Engineer - Publishing - AWS, Kubernetes, Terraform
 
 
 
 
 
 
 Oliver Bernard are currently working with a Publishing client of ours who are looking for strong a DevOps Contractor to join their team as part of a transformational revamp on their platform.
 
 
 
 
 
 You&rsquo;ll be expected to work in cross-functional teams, devised of DevOps Engineer, Security Engineers and Full-Stack developers, on a project to help scale the DevOps and Engineering practices for the broader business.
 
 
 
 
 
 To be considered for this position you must have experience with the following:
 
 
 
 
 <ul>
 <li>
 Strong experience with AWS and AWS Services
 </li>
 <li>
 Containerisation with Docker and Kubernetes
 </li>
 <li>
 History of IaC with Terraform
 </li>
 <li>
 Strong experience across Monitoring, Alerting, Observability and Tracing
 </li>
 <li>
 Comfortable working closely with Software Development teams
 </li>
 </ul>
 
 
 
 
 This position can offer &pound;550-600 p/day, inside IR35, for an initial 6 month contract, and operates a hybrid working model (with 2 office days p/week).
 
 
 
 
 
 
 DevOps Engineer - Publishing - AWS, Kubernetes, Terraform
 
 
</div>

DevOps Engineer

Deeplight AI

<div>
 DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
 
 
 At DeepLight, we don't believe in "off-the-shelf" fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.
 
 
 The DevOps Engineer owns the Agentic Workflow Automation (AWA) platform's deployment architecture, infrastructure-as-code (IaC), CI/CD pipelines, and continuous operational reliability. Operating within the AI Centre of Excellence (AICoE) at a Mid-level capacity, this position serves as the primary guardian of the cloud-native infrastructure within the bank's Azure UAE environment. The role ensures that every critical platform component&mdash;ranging from AKS namespaces and KEDA autoscalers to ADLS Gen2 storage lifecycles and firewall configurations&mdash;is entirely automated, secure, and reproducible strictly from code, eliminating manual interventions.
 
 
 
 Your responsibilities as the DevOps Engineer include:
 
 
 
 <ul>
 <li>
 Maintaining and governing all AWA Azure infrastructure utilizing Terraform or Bicep, covering multi-namespace AKS clusters, ADLS Gen2 accounts with WORM policies, API Management configurations, private endpoints, and Key Vault instances
 </li>
 <li>
 Designing and optimising automated Azure DevOps pipelines managing the full lifecycle from container compilation, ACR pushing, and Notary v2 image signing, through to managed infrastructure deployments and validation testing gates
 </li>
 <li>
 Managing multi-namespace AKS clusters, enforcing strict network policies, pod isolation, workload identities, and KEDA autoscaling rules based on active message queues or consumer lag
 </li>
 <li>
 Overseeing container registries, enforce mandatory image signing, monitor vulnerability tracking outputs, and maintain admission control validation policies via OPA Gatekeeper
 </li>
 <li>
 Administering access architectures, managed identity configurations, automated TLS certificate lifecycles, and cryptographic secret rotation schedules within Azure Key Vault
 </li>
 <li>
 Constructing complex KQL queries and alerting conditions within Azure Monitor and Log Analytics to track service-level SLA breaches, runtime failures, and token utilization thresholds
 </li>
 <li>
 Implementing platform security configurations, managing private connectivity endpoints, Azure Policy enforcement rules, and enterprise firewall architectures
 </li>
 <li>
 Defining, implementing, and validating automated disaster recovery failover paths, maintaining target Recovery Time Objectives (RTO) and Recovery Point Objectives (RPO) for storage accounts and model serving endpoints
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 We need you to have:
 
 
 <ul>
 <li>
 A deep competence in building enterprise-grade, production-ready cloud architectures using infrastructure-as-code platforms (Terraform or Bicep)
 </li>
 <li>
 Technical mastery over Kubernetes (AKS) configuration, including Helm/Kustomize deployment engines, network policies, and cluster admission controls
 </li>
 <li>
 Practical ability to implement automated horizontal scaling strategies using Kubernetes Event-Driven Autoscaling (KEDA) or equivalent streaming metrics
 </li>
 <li>
 The capability to manage multi-stage, gated deployment pipelines across multi-environment setups using Azure DevOps or GitHub Actions
 </li>
 <li>
 A solid understanding of enterprise network routing, including hub-and-spoke VNets, private link endpoints, network security groups, and cloud firewall boundaries
 </li>
 <li>
 A minimum of 5 years of experience in dedicated DevOps, SRE, or Platform Engineering roles, with at least 2 years explicitly focused on Azure ecosystems
 </li>
 <li>
 A documented history managing production Kubernetes deployments, implementing automated RBAC, policy layers, and namespace segmentation
 </li>
 <li>
 Experience writing advanced KQL (Kusto Query Language) expressions to parse logs and feed operational dashboards
 </li>
 <li>
 Hold a Bachelor's degree in Computer Science, Systems Engineering, or a related technical discipline
 
 
 </li>
 </ul>
 It would also be great if you:
 
 
 <ul>
 <li>
 Are proficient with Kubernetes Workload Identity, managed identity architectures, and Azure Key Vault access security profiles
 </li>
 <li>
 Are familiar with Azure AI Foundry and API Management platforms, specifically controlling token consumption quotas, routing, and rate limits
 </li>
 <li>
 Are familiar with Azure Event Hubs or Kafka consumer groups, alongside immutable ADLS Gen2 storage structure management
 </li>
 <li>
 Hold an active Azure Administrator Associate (AZ-104), Azure DevOps Engineer Expert (AZ-400), or Certified Kubernetes Administrator (CKA) designations
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 The benefits you'll enjoy as part of this role include:
 
 
 
 <ul>
 <li>
 Competitive salary
 </li>
 <li>
 Comprehensive personal health insurance
 </li>
 <li>
 Visa Sponsorship for the successful individual
 </li>
 <li>
 Professional development and certification support
 </li>
 <li>
 Subscription reimbursement relating to your role
 </li>
 <li>
 Opportunity to work on cutting-edge AI projects
 </li>
 <li>
 Monthly Employee Incentive program
 </li>
 <li>
 Career advancement opportunities in a rapidly growing AI company
 
 
 </li>
 </ul>
 
 This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.
 
 
 At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
 
 
 
 
 Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
 
 
 
 
 If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.
 
</div>

Deeplight

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
At DeepLight, we don't believe in &quot;off-the-shelf&quot; fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.
The DevOps Engineer owns the Agentic Workflow Automation (AWA) platform's deployment architecture, infrastructure-as-code (IaC), CI/CD pipelines, and continuous operational reliability. Operating within the AI Centre of Excellence (AICoE) at a Mid-level capacity, this position serves as the primary guardian of the cloud-native infrastructure within the bank's Azure UAE environment. The role ensures that every critical platform component&mdash;ranging from AKS namespaces and KEDA autoscalers to ADLS Gen2 storage lifecycles and firewall configurations&mdash;is entirely automated, secure, and reproducible strictly from code, eliminating manual interventions.
Your responsibilities as the DevOps Engineer include:<ul><li>
Maintaining and governing all AWA Azure infrastructure utilizing Terraform or Bicep, covering multi-namespace AKS clusters, ADLS Gen2 accounts with WORM policies, API Management configurations, private endpoints, and Key Vault instances.</li><li>
Designing and optimising automated Azure DevOps pipelines managing the full lifecycle from container compilation, ACR pushing, and Notary v2 image signing, through to managed infrastructure deployments and validation testing gates.</li><li>
Managing multi-namespace AKS clusters, enforcing strict network policies, pod isolation, workload identities, and KEDA autoscaling rules based on active message queues or consumer lag.</li><li>
Overseeing container registries, enforce mandatory image signing, monitor vulnerability tracking outputs, and maintain admission control validation policies via OPA Gatekeeper.</li><li>
Administering access architectures, managed identity configurations, automated TLS certificate lifecycles, and cryptographic secret rotation schedules within Azure Key Vault.</li><li>
Constructing complex KQL queries and alerting conditions within Azure Monitor and Log Analytics to track service-level SLA breaches, runtime failures, and token utilization thresholds.</li><li>
Implementing platform security configurations, managing private connectivity endpoints, Azure Policy enforcement rules, and enterprise firewall architectures.</li><li>
Defining, implementing, and validating automated disaster recovery failover paths, maintaining target Recovery Time Objectives (RTO) and Recovery Point Objectives (RPO) for storage accounts and model serving endpoints.</li></ul> 

Requirements 
We need you to have:<ul><li>
A deep competence in building enterprise-grade, production-ready cloud architectures using infrastructure-as-code platforms (Terraform or Bicep).</li><li>
Technical mastery over Kubernetes (AKS) configuration, including Helm/Kustomize deployment engines, network policies, and cluster admission controls.</li><li>
Practical ability to implement automated horizontal scaling strategies using Kubernetes Event-Driven Autoscaling (KEDA) or equivalent streaming metrics.</li><li>
The capability to manage multi-stage, gated deployment pipelines across multi-environment setups using Azure DevOps or GitHub Actions.</li><li>
A solid understanding of enterprise network routing, including hub-and-spoke VNets, private link endpoints, network security groups, and cloud firewall boundaries.</li><li>
A minimum of 5 years of experience in dedicated DevOps, SRE, or Platform Engineering roles, with at least 2 years explicitly focused on Azure ecosystems.</li><li>
A documented history managing production Kubernetes deployments, implementing automated RBAC, policy layers, and namespace segmentation.</li><li>
Experience writing advanced KQL (Kusto Query Language) expressions to parse logs and feed operational dashboards.</li><li>
Hold a Bachelor's degree in Computer Science, Systems Engineering, or a related technical discipline.</li></ul>
It would also be great if you:<ul><li>
Are proficient with Kubernetes Workload Identity, managed identity architectures, and Azure Key Vault access security profiles.</li><li>
Are familiar with Azure AI Foundry and API Management platforms, specifically controlling token consumption quotas, routing, and rate limits.</li><li>
Are familiar with Azure Event Hubs or Kafka consumer groups, alongside immutable ADLS Gen2 storage structure management.</li><li>
Hold an active Azure Administrator Associate (AZ-104), Azure DevOps Engineer Expert (AZ-400), or Certified Kubernetes Administrator (CKA) designations.</li></ul> 

Benefits 
The benefits you'll enjoy as part of this role include: 
<ul><li>
Competitive salary
</li><li>Comprehensive personal health insurance
</li><li>Visa Sponsorship for the successful individual</li><li>
Professional development and certification support</li><li>
Subscription reimbursement relating to your role</li><li>
Opportunity to work on cutting-edge AI projects</li><li>
Monthly Employee Incentive program</li><li>
Career advancement opportunities in a rapidly growing AI company</li></ul> 
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients. 
 
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</div>

D4 Insight

<div>
 
 Location:
 
 Abu Dhabi
 
 
 
 Experience:
 
 5+ Years
 
 
 
 Role Overview
 
 
 
 The DevOps Engineer will manage deployment automation, cloud infrastructure, Kubernetes operations, and platform reliability across Azure-based AI environments.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Build Infrastructure as Code using Terraform and Bicep.
 </li>
 <li>
 Manage AKS environments and Kubernetes operations.
 </li>
 <li>
 Implement CI/CD pipelines.
 </li>
 <li>
 Support monitoring, DR, and security controls.
 </li>
 <li>
 Maintain platform reliability and scalability.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Azure
 </li>
 <li>
 AKS
 </li>
 <li>
 Terraform
 </li>
 <li>
 Bicep
 </li>
 <li>
 Kubernetes
 </li>
 <li>
 CI/CD
 </li>
 <li>
 DevOps Automation
 
 
 </li>
 </ul>
 📩
 
 Apply Now: careers@d4insight.com
 
</div>

Qureos

Qureos is redefining how companies hire with AI. Backed by leading investors including Prosus Ventures and COTU Ventures, Qureos recently raised a $5 million Seed round to accelerate the future of hiring.Trusted by 1,000+ enterprise and public sector organizations, our AI-native recruitment platform distributes jobs across 2,000+ global channels, screens candidates in under 15 seconds, and automates recruitment workflows at scale — compressing hiring timelines from months to as little as six days.As we scale globally, we are looking for a seasoned DevOps Engineer to build and own the infrastructure that powers it all. Why Join Qureos? Behind every product that works at scale is infrastructure that never sleeps. At Qureos, our platform processes millions of candidate interactions, job distributions, and AI-driven workflows, and the engineering that supports it needs to be bulletproof.We are building a DevOps function that treats infrastructure as a product: scalable, observable, and engineered for long-term reliability. You will work directly alongside our development, QA, and IT teams to eliminate operational bottlenecks, automate critical workflows, and ensure our platform performs at the level our enterprise customers expect.This is a high-ownership role at a category-defining HRTech company, an opportunity to shape the technical foundation of one of the fastest-growing AI hiring platforms in the region. What We're Looking For <ul><li>5+ years of experience as a DevOps Engineer or in a closely related infrastructure role</li><li>Strong hands-on experience with Google Cloud Platform (GCP), including Compute Engine, Cloud Storage, Cloud Run, and GKE</li><li>Deep proficiency with Docker and container orchestration, including Kubernetes</li><li>Proven experience building and maintaining CI/CD pipelines using GitHub Actions, Google Cloud Run, CircleCI, or similar tools</li><li>Solid background in monitoring and observability using tools such as Elasticsearch, Kibana, Prometheus, or New Relic</li><li>Experience administering and optimizing MongoDB, including backup, recovery, and disaster recovery strategies</li><li>Strong scripting ability in Python, Bash, or equivalent languages</li><li>Proficiency with infrastructure-as-code tools such as Terraform or Ansible</li><li>Demonstrated ability to implement security best practices across infrastructure, applications, and data layers</li><li>Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience</li><li>Experience with additional cloud platforms (AWS, Azure), Agile/Scrum methodologies, or relevant certifications (GCP, Docker) is a strong plus</li></ul> What You'll Do <ul><li>Design, deploy, and manage scalable cloud infrastructure on GCP to support Qureos' growing global platform</li><li>Build and maintain robust CI/CD pipelines that automate testing, building, and deployment across development and production environments</li><li>Own the monitoring, logging, and alerting stack, proactively identifying and resolving incidents before they impact our enterprise customers</li><li>Administer and optimize MongoDB instances, maintaining data integrity, security, and performance at scale</li><li>Implement and enforce security best practices and compliance standards across all layers of infrastructure and application delivery</li><li>Automate infrastructure provisioning, configuration management, and operational workflows using GCP-native services and custom scripting</li><li>Collaborate closely with development and QA teams to support the full software development lifecycle and accelerate feature delivery</li><li>Develop and maintain disaster recovery strategies to ensure business continuity across critical systems and databases</li><li>Provide technical guidance and hands-on support to resolve complex infrastructure and deployment challenges</li></ul> What We Offer <ul><li>Competitive compensation package</li><li>Opportunity to join a high-growth, VC-backed AI company scaling across global markets</li><li>Direct exposure to AI, SaaS, HRTech, and the infrastructure powering enterprise-grade hiring technology</li><li>Close collaboration with development, QA, founders, and investors</li><li>Structured onboarding, technical enablement, and continuous learning opportunities</li><li>Flexible and collaborative work environment</li></ul>

KnowledgeCity

<div>
 DevOps engineers build, test and maintain the infrastructure and tools to allow for the speedy development and release of software. DevOps practices aim to simplify the development process of software and help us improve our operating systems. This role has a strong background in software engineering and will employ DevOps tools and practices to improve the development team's production and guide our hardworking team through the process of designing and writing a dependable codebase. This position also allows to innovate our engineering systems and practices. The role is expected to work in an AI-native way, using AI coding assistants and agents (such as Claude, GitHub Copilot, Cursor, and Antigravity) to accelerate automation, scripting, and troubleshooting.
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Developing, Implementing, and Maintaining DevOps Processes:
 </li>
 <ul>
 <li>
 Establish and optimize DevOps methodologies and standards.
 </li>
 <li>
 Ensure effective collaboration and communication between development
 </li>
 <li>
 and operations teams.
 </li>
 <li>
 Integrate security practices into all DevOps processes.
 </li>
 </ul>
 <li>
 Operational Efficiency:
 </li>
 <ul>
 <li>
 Development, deployment, and maintenance of software products and infrastructure.
 </li>
 <li>
 Achieve and maintain a high level of operational efficiency by automating routine tasks, reducing deployment times, and minimizing downtime, particularly within AWS environments.
 </li>
 <li>
 Leverage AI coding assistants (GitHub Copilot, Cursor, Antigravity, Claude) to speed up scripting, automation, and routine engineering tasks while maintaining quality and security standards.
 </li>
 </ul>
 <li>
 CI/CD Pipeline Management:
 </li>
 <ul>
 <li>
 Design, implement, and maintain robust CI/CD pipelines to automate deployment processes across multiple environments.
 </li>
 <li>
 Apply cloud (AWS) computing skills to deploy upgrades and fixes.
 </li>
 <li>
 Design, develop and implement software integrations.
 </li>
 </ul>
 <li>
 Infrastructure as Code (IaC):
 </li>
 <ul>
 <li>
 Develop and manage infrastructure using tools like Terraform, Ansible, or CloudFormation to ensure scalability, reliability, and security.
 </li>
 <li>
 Troubleshoot production issues and coordinate with the development team to streamline code deployment.
 </li>
 </ul>
 <li>
 Monitoring and Incident Management:
 </li>
 <ul>
 <li>
 Implement and maintain monitoring solutions to ensure system health, performance, reliability, uptime, and security.
 </li>
 <li>
 Lead incident response efforts to quickly resolve production issues.
 </li>
 <li>
 Conduct systems tests for security, performance, and availability.
 </li>
 <li>
 Use AI assistants such as Claude to accelerate log analysis, root-cause investigation, and incident post-mortems.
 </li>
 </ul>
 <li>
 Security Best Practices:
 </li>
 <ul>
 <li>
 Implement security best practices in the CI/CD pipeline and throughout the infrastructure to protect sensitive data and ensure compliance with industry standards.
 </li>
 <li>
 Apply AI-assisted code review to help identify vulnerabilities and harden configurations earlier in the development lifecycle.
 </li>
 </ul>
 <li>
 Continuous Improvement:
 </li>
 <ul>
 <li>
 Identify and implement improvements in processes, tools, and automation to enhance efficiency and reduce manual intervention.
 </li>
 <li>
 Develop and maintain design and troubleshooting documentation.
 </li>
 <li>
 Implement automation tools and framework.
 </li>
 <li>
 Adopt and continuously improve AI-assisted workflows, sharing effective prompts and practices with the team.
 </li>
 </ul>
 <li>
 Collaboration:
 </li>
 <ul>
 <li>
 Work closely with developers, QA, and other stakeholders to streamline the release process, improve code quality, and ensure seamless integration.
 </li>
 <li>
 Collaborate with team members to improve the company's engineering tools, systems and procedures, and data security.
 
 </li>
 </ul>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 Technical Expertise:
 </li>
 <ul>
 <li>
 Strong experience in DevOps tools and technologies particularly in environments that prioritize continuous delivery and automation, with a focus on AWS services and configuration (EC2, RDS, CloudFront, Athena, Lambda, MediaConvert, etc.).
 </li>
 <li>
 Work with a non-managed Kubernetes cluster.
 </li>
 <li>
 Proficiency in programming languages such as Python, PHP, and others relevant to the tech stack.
 </li>
 <li>
 Experience with Databases such as MySql, PostgreSQL, ClickHouse
 </li>
 <li>
 Experience with DevOps tools and platforms such as IaC: Terraform, Ansible, Helm. Git, Docker, Kubernetes, Bitbucket Pipelines and AWS/Oracle (CloudFront, ECS, EKS, EC2, S3, IAM, EFS, WAF, etc). ELK-stack, Prometheus, Grafana.
 </li>
 </ul>
 <li>
 AI Tools &amp; Productivity:
 </li>
 <ul>
 <li>
 Hands-on experience using AI coding assistants and agents to accelerate engineering work &mdash; including GitHub Copilot, Cursor, and Antigravity.
 </li>
 <li>
 Experience with Claude is a significant plus; the ability to use it effectively for code generation, log and incident analysis, documentation, and troubleshooting is highly valued.
 </li>
 <li>
 Sound judgment in applying AI output responsibly &mdash; reviewing, validating, and securing AI-generated code and configurations before use.
 </li>
 </ul>
 <li>
 Problem-Solving:
 </li>
 <ul>
 <li>
 Strong analytical and problem-solving skills with the ability to troubleshoot complex issues in a dynamic environment.
 </li>
 <li>
 Excellent decision-making skills.
 </li>
 </ul>
 <li>
 Communication:
 </li>
 <ul>
 <li>
 Excellent communication skills with the ability to work collaboratively across teams.
 </li>
 <li>
 Advanced English proficiency, both written and spoken, is mandatory for effective communication with partners and clients.
 </li>
 </ul>
 </ul>
</div>

Siemens Digital Industries Software

<div>
 Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software.
 
 
 
 Role Overview
 
 
 
 We are looking for a motivated DevOps Engineer to join our team in Cairo, Egypt. This role is ideal for a candidate with 3+ years of experience in DevOps, cloud infrastructure, or platform engineering, and a strong interest in automation, deployment pipelines, and cloud operations.
 
 
 The ideal candidate should have hands-on experience with AWS, Terraform, and other Infrastructure as Code (IaC) tools, along with a good understanding of CI/CD practices, system reliability, and cloud infrastructure management.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Support the design, implementation, and maintenance of cloud infrastructure on AWS
 </li>
 <li>
 Develop and manage infrastructure using Terraform and other IaC tools
 </li>
 <li>
 Assist in building and maintaining CI/CD pipelines for application deployment and infrastructure automation
 </li>
 <li>
 Collaborate with software engineering teams to improve deployment processes, scalability, and operational efficiency
 </li>
 <li>
 Monitor cloud environments and help ensure system reliability, security, and performance
 </li>
 <li>
 Automate repetitive operational tasks to improve efficiency and consistency
 </li>
 <li>
 Support troubleshooting of infrastructure, deployment, and environment-related issues
 </li>
 <li>
 Participate in managing cloud resources, networking, permissions, and environment configurations
 </li>
 <li>
 Contribute to documentation for infrastructure, deployment processes, and operational procedures
 </li>
 <li>
 Follow DevOps best practices for release management, automation, monitoring, and incident response
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Engineering, Computer Science or a related field
 </li>
 <li>
 3+ years of experience in DevOps, cloud engineering, system administration, or a related role
 </li>
 <li>
 Hands-on experience with AWS
 </li>
 <li>
 Experience with Terraform for infrastructure provisioning and management
 </li>
 <li>
 Familiarity with other IaC tools such as CloudFormation, Ansible, or similar
 </li>
 <li>
 Understanding of CI/CD tools such as Jenkins, GitLab CI/CD, GitHub Actions, or similar
 </li>
 <li>
 Experience with Linux environments and shell scripting
 </li>
 <li>
 Familiarity with Git and version control best practices
 </li>
 <li>
 Basic understanding of networking, cloud security, IAM, and system monitoring
 </li>
 <li>
 Strong problem-solving skills and a willingness to learn in a fast-paced team environment
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with container technologies such as Docker
 </li>
 <li>
 Familiarity with container orchestration platforms such as Kubernetes
 </li>
 <li>
 Understanding of monitoring and logging tools such as CloudWatch, Prometheus, Grafana, or the ELK stack
 </li>
 <li>
 Exposure to security best practices in cloud environments
 </li>
 <li>
 Experience working in Agile or cross-functional engineering teams
 
 
 </li>
 </ul>
 We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
 
 
 #SWSaaS
 
 
</div>

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