DevOps Jobs in Pakistan.
All active DevOps roles based in Pakistan.
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DevOps Engineer- Securiti.ai
Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
About the Role
We are now expanding our engineering team and looking for a senior DevOps engineer. If you aspire to work on cutting-edge technologies and frameworks, side by side with some of the smartest technologists, this may be a unique place for you. You will be working as a part of a distributed agile team, building a new SaaS platform that underpins a suite of enterprise applications solving a variety of hard data analytics and enterprise problems. You will be responsible for ensuring that the framework and products we develop meet the established design, implementation, and quality goals
What You’ll Do
- Be a part of a globally distributed team of operations team to design/develop/architect Securiti’s core infrastructure
- Write reliable, secure, performant, and fully automated deployment pipelines
- Monitor platform performance and be on-call to address any urgent issues
- Integrate new technologies into back-end cloud infrastructure
- Evaluate and adapt new technologies where they provide value
- Participate in on-call rotations as needed to monitor and act on alerts from Securiti’s infrastructure
What You’ll Bring
- Minimum 2 years of experience developing software, with experience in cloud providers like AWS, Azure, GCP
- Experience with writing infrastructure as code with relevant experience using tools like Terraform, AWS Cloud Formation
- Experience with Container technologies like Docker and container orchestration systems like Kubernetes
- Experience with continuous integration tools like Jenkins
- Experience with configuration management, network request routing, blue/green or canary deployments, in-service software upgrade
- Development experience with one of Python or Golang
- Experience with Monitoring tools such as Prometheus, Grafana, WaveFront, Zabbix,, etc
- Good knowledge of Linux and Bash scripting
- Experience with SQL (Postgres) and NoSQL (Mongo/Elasticsearch) technologies
- Knowledge and use of performance tuning, profiling,, and software metrics tools
- Very strong diagnostic and troubleshooting skills
- Proven ability to utilize creative thinking to solve complex engineering problems.
- Experience with agile development methodologies is a must
- Outstanding verbal, written,, and interpersonal communication skills
- High level of energy, teamwork, can-do attitude, and willingness to learn new technologies
What You’ll Get
- Competitive compensation package
- Comprehensive health and wellness benefits
- Professional development opportunities
Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.
The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.
By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.
By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.
Ready to apply?
Apply to Veeam Software
Software Dev Engineer (Backend) - Securiti.ai
Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
About the Role
You will be working as a part of a distributed agile team, building a new SaaS platform that underpins a suite of enterprise applications solving a variety of hard data analytics and enterprise problems. You will be responsible for ensuring that the framework and products we develop meet the established design, implementation, and quality goals.
What You’ll Do
- Develop and maintain a full stack SaaS application in the cloud environment
- Build, design, deploy, maintain the implementation of Cloud solutions across multiple public cloud offerings, e.g. AWS, Google Cloud and Microsoft Azure
- Participate in technology evaluation and reengineering teams to support strategy-definition and continuous process improvement activities
- Implement and refine cloud future state architectures and roadmaps including architecture standards, guidelines, and industry best practices.
- Perform ongoing performance tuning, upgrades, and resource optimization as required. Configure CPU, memory, and disk partitions as required; maintain data center environmental and monitoring equipment.
- Participate in the design, implementation and management of workload automation initiatives
What You’ll Bring
- Software programming languages: Golang, Python experience required
- Working knowledge of IaC (infrastructure as code) principals - Cloud formation, Terraform
- Bachelor's Degree
- 3+ years of software development experience required
- 3+ years working with cloud platforms
- Experience with Agile and DevOps concepts
- Extensive knowledge of Linux based systems including software, networking and storage
- Experience architecting cloud infrastructures on Amazon Web Services (AWS) for small, medium scale and enterprise level applications
- Good knowledge of security (SAML, OAuth, OpenID, Kerberos, Policies, entitlements etc.)
- Infrastructure deployment experience in the Public cloud
- Knowledge of security controls for the Public cloud (encryption of data in motion/rest and key management)
- Knowledge of Linux containers.
What You’ll Get
-
Competitive compensation package
-
Comprehensive health and wellness benefits
-
Professional development opportunities
Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.
The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.
By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.
By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.
Ready to apply?
Apply to Veeam Software
Customer Engineer - Securiti.ai
Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
About the Role
We’re seeking a technically fluent Customer Engineer to join our Engineering organization and serve as a critical link between Engineering and Go-to-Market (GTM) teams, including Sales Engineering, Professional Services, and Enablement.
This role is embedded within the Development organization, and focuses on helping the GTM teams understand, configure, and support deployments of our Data Security Posture Management (DSPM) platform. While the role is not directly customer-facing, it requires a deep understanding of the product and underlying technologies to ensure field teams are well-supported during pre-sales and post-sales phases.
This is an excellent opportunity for someone with a strong technical foundation who wants to stay close to the technology, without being in a traditional coding role.
What You’ll Do
- Act as a technical liaison between the Engineering team and GTM teams (Sales Engineering, Professional Services, etc.), enabling them with the product knowledge, tooling, setup and deployment support they need.
- Work closely with Engineering to understand new features, deployment requirements, and system behaviors, and translate them into actionable documentation, enablement content, demo environments and tooling for internal teams.
- Assist in internal setup and deployment of DSPM components (Kubernetes-based microservices, data connectors, APIs), and help validate internal staging/demo environments.
- Help develop internal technical resources such as playbooks, integration guides, architecture diagrams, and field enablement materials.
- Support the Go-to-Market team with API usage, scripting (e.g., Python), and basic troubleshooting, particularly during proof-of-concept or pilot phases.
- Read, interpret, and sometimes modify basic code or configuration files to help debug issues or support integration efforts.
- Validate deployment workflows across cloud platforms (e.g., AWS, GCP, Azure) and ensure alignment with field practices.
What You’ll Bring
- 3+ years of experience in a technical role within an engineering or product-focused organization (e.g., dev support, sales enablement, QA, technical consulting).
- Strong understanding of modern cloud-native stacks, including:
- Kubernetes and containerized services
- Cloud infrastructure (AWS/GCP/Azure)
- Data infrastructure (e.g., SQL, data lakes, data warehouses) - Comfort with basic scripting in languages like Python or shell scripting for automating setup, working with APIs, or testing integrations.
- Ability to read and understand application code (e.g., Python, YAML, or JSON configurations) to support basic troubleshooting and deployment workflows.
- Strong communication skills and ability to synthesize technical concepts for internal enablement and cross-functional understanding.
Bonus Skills
- Familiarity with DSPM, CSPM, or adjacent data security and privacy tools
- Prior experience in Sales Engineering enablement, solution delivery, or product support roles.
- Experience with or exposure to DevOps tools such as Helm, Terraform, Docker, and CI/CD pipelines.
Exposure to compliance or risk management concepts (e.g., SOC 2, GDPR). - Experience working in fast-paced, high-growth environments or with distributed technical teams.
What You’ll Get
-
Competitive compensation package
-
Comprehensive health and wellness benefits
-
Professional development opportunities
Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.
The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.
By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.
By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.
Ready to apply?
Apply to Veeam Software
Customer Engineer - Securiti.ai
Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
About the Role
We’re seeking a technically fluent Customer Engineer to join our Engineering organization and serve as a critical link between Engineering and Go-to-Market (GTM) teams, including Sales Engineering, Professional Services, and Enablement.
This role is embedded within the Development organization, and focuses on helping the GTM teams understand, configure, and support deployments of our Data Security Posture Management (DSPM) platform. While the role is not directly customer-facing, it requires a deep understanding of the product and underlying technologies to ensure field teams are well-supported during pre-sales and post-sales phases.
This is an excellent opportunity for someone with a strong technical foundation who wants to stay close to the technology, without being in a traditional coding role.
What You’ll Do
- Act as a technical liaison between the Engineering team and GTM teams (Sales Engineering, Professional Services, etc.), enabling them with the product knowledge, tooling, setup and deployment support they need.
- Work closely with Engineering to understand new features, deployment requirements, and system behaviors, and translate them into actionable documentation, enablement content, demo environments and tooling for internal teams.
- Assist in internal setup and deployment of DSPM components (Kubernetes-based microservices, data connectors, APIs), and help validate internal staging/demo environments.
- Help develop internal technical resources such as playbooks, integration guides, architecture diagrams, and field enablement materials.
- Support the Go-to-Market team with API usage, scripting (e.g., Python), and basic troubleshooting, particularly during proof-of-concept or pilot phases.
- Read, interpret, and sometimes modify basic code or configuration files to help debug issues or support integration efforts.
- Validate deployment workflows across cloud platforms (e.g., AWS, GCP, Azure) and ensure alignment with field practices.
What You’ll Bring
- 3+ years of experience in a technical role within an engineering or product-focused organization (e.g., dev support, sales enablement, QA, technical consulting).
- Strong understanding of modern cloud-native stacks, including:
- Kubernetes and containerized services
- Cloud infrastructure (AWS/GCP/Azure)
- Data infrastructure (e.g., SQL, data lakes, data warehouses) - Comfort with basic scripting in languages like Python or shell scripting for automating setup, working with APIs, or testing integrations.
- Ability to read and understand application code (e.g., Python, YAML, or JSON configurations) to support basic troubleshooting and deployment workflows.
- Strong communication skills and ability to synthesize technical concepts for internal enablement and cross-functional understanding.
Bonus Skills
- Familiarity with DSPM, CSPM, or adjacent data security and privacy tools
- Prior experience in Sales Engineering enablement, solution delivery, or product support roles.
- Experience with or exposure to DevOps tools such as Helm, Terraform, Docker, and CI/CD pipelines.
Exposure to compliance or risk management concepts (e.g., SOC 2, GDPR). - Experience working in fast-paced, high-growth environments or with distributed technical teams.
What You’ll Get
-
Competitive compensation package
-
Comprehensive health and wellness benefits
-
Professional development opportunities
Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.
The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.
By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.
By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.
Ready to apply?
Apply to Veeam Software
Vectara provides a scalable platform to deploy your Enterprise AI Agents and AI Assistants with Accuracy, Security, and Explainability like no other solution. Our enterprise RAG and Agentic AI Platform offers unparalleled Accuracy, Security, and Explainability by leveraging the strongest models for retrieval, embedding, reranking, and reasoning, an optimized LLM trained for quality, and advanced Hallucination Mitigation. We are the developers of the Hughes Hallucination Evaluation Model and Correction model, core to ensuring accuracy, quality, and responsible AI that is production ready. These innovations have been cited in the New York Times, Visual Capitalist, and many other leading publications. This platform has allowed us to be very successful with over 100 Enterprise clients including the likes of large US High Tech companies, military organizations, Financial services, Healthcare, and Manufacturing.
Our founding team includes industry veterans and experts in neural information retrieval and distributed systems from Google. Join us as we pursue our mission to help the world find meaning. People at Vectara are passionate about ensuring customers take advantage of breakthroughs in applied Artificial Intelligence (AI) to solve real-world technology and business problems today. Our team is a group of unquestionable all-stars in their respective fields of computer science and business from Google, Cloudera, Splunk, MongoDB, Elastic, and more.
Role Overview:
Vectara is seeking a Senior Platform Software Engineer with strong experience in modern DevOps practices and backend development. In this role, you’ll work on developing IaaC and Helm charts for deploying and managing the core infrastructure that powers our retrieval-augmented generation and agentic AI platform, as well as design and development of features in the platform. The design and deployment of the platform requires high availability, scalability, and automation. You will be part of our oncall rotation for addressing customer tickets. The role also requires basic platform and application development skills.
You will work as an integral part of our Forward Deployed Engineering function, working with our Field Engineering team to assist with building and supporting everything from POCs to production applications used by millions of people. In doing this you will contribute to the delivery of customer satisfaction and sales outcomes for our business.
Key Responsibilities:
- Proficiency in AI-assisted coding; able to do multiple tasks at once and manage AI agents to quickly execute.
- Drive infrastructure automation, CI/CD, and monitoring/alerting pipelines.
- Collaborate with Field Engineering teams to support PoCs, and Platform deployments in customer Cloud VPCs and on-prem.
- Deploy, scale, and optimize ML/NLP workloads, especially model inference.
- Lead initiatives to improve system reliability, scalability, and developer experience.
- Contribute to architecture and infrastructure decisions as we scale our platform.
- Champion best practices in code quality, testing, and DevOps culture across the team.
- Design, implement, and maintain scalable and secure backend services and platform components.
Qualifications:
- 5+ years of experience as a software engineer with a focus on backend systems and platform engineering.
- At least 2 years of devops experience.
- At least 2 years of development experience.
- Deep experience with all computing environments (GCP, AWS, Onprem, or Azure).
- Strong understanding of containerization and orchestration (Docker, Kubernetes).
- Experience with observability tools (Prometheus, Grafana, ELK/EFK, etc.).
- Experience working on ML platforms or supporting ML workloads in production.
- Familiarity with data infrastructure (e.g., Kafka, Spark, Airflow).
- Proficiency in languages like Go, Python, or Java; experience with infrastructure-as-code (Terraform, Pulumi, etc.).
- Experience with providing technical support of custom-developed systems to customers.
Equity and Salary Range:
Salary is just one component of Vectara’s employee compensation. Our full-time employees are also equity owners in the company, which although not an immediate cash component, can have positive impacts on long-term total compensation for each participating employee. We would be remiss if we didn’t highlight and celebrate our focus on engaging many of our employees in being economic co-owners of the business.
Vectara welcomes all. We value the collective wisdom of people from different backgrounds, experiences, abilities and perspectives. We never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Vectara has a positive and supportive culture—we look for people who are inventive and work to be a little better every single day. We seek to be smart, humble, hardworking and, above all, curious. After all, we are on a mission to find meaning.
Ready to apply?
Apply to Vectara
Senior Cloud Engineer
Who we are
Moniepoint is an all-in-one financial services platform for emerging markets and the second-fastest-growing company in Africa. Since 2019, Moniepoint’s technology has powered over 3 million people, offering personal and business banking, payment, credit, and business management tools to help them succeed. Moniepoint processed $182 billion in 2023 and currently processes the majority of the POS transactions in Nigeria.
About the role
Engineering at Moniepoint is an inspired, customer-focused community dedicated to crafting solutions that redefine our industry. Our infrastructure runs on some of the cool tools that excite infrastructure engineers - kubernetes, docker etc.
We also make business decisions based on the large stream of data we receive daily, so we work daily with big data, perform data analytics and build models to make sense of the noise and give our customers the best experience.
Curious about what makes Moniepoint an incredible place to work?
Check out posts on how we cultivate a culture of innovation, teamwork, and growth.
Position Overview
We are seeking an experienced Cloud Engineer to design, implement, and manage our multi-cloud infrastructure. The ideal candidate will have deep expertise in cloud platforms, container orchestration, infrastructure automation, CI/CD pipelines, and observability solutions, ensuring scalable, reliable, and cost-effective cloud operations across multiple cloud providers.
Principal Duties and Responsibilities
Cloud Infrastructure Management
- Design, deploy, and manage multi-cloud infrastructure across Google Cloud Platform (GCP), Amazon Web Services (AWS), Azure, and Oracle Cloud Infrastructure (OCI)
- Architect and implement highly available, fault-tolerant, and scalable cloud solutions
- Manage cloud resources including compute instances and networking components
- Design and implement disaster recovery and business continuity plans for cloud workloads
- Migrate on-premises applications and services to cloud environments with minimal disruption
- Optimize cloud resource utilization and implement auto-scaling policies
- Maintain comprehensive documentation of cloud architectures, configurations, and runbooks
Kubernetes & Container Orchestration
- Design, deploy, and manage production-grade Kubernetes clusters across multiple cloud providers
- Implement and maintain container orchestration strategies for microservices architectures
- Configure and manage Kubernetes resource objects
- Manage Kubernetes cluster upgrades, scaling, and performance optimization
- Troubleshoot complex container and orchestration issues in production environments
- Implement multi-cluster and multi-region Kubernetes deployments for high availability
Service Mesh & Advanced Networking
- Design, deploy, and manage Istio service mesh for microservices communication and observability
- Configure Istio traffic management, including virtual services, destination rules, and gateways
- Implement advanced traffic routing (canary deployments, A/B testing, traffic splitting) using Istio
- Deploy and manage Istio observability components (telemetry, distributed tracing, service graphs)
- Implement circuit breaking, retries, timeouts, and fault injection for resilience testing
- Configure Istio ingress and egress gateways for external traffic management
- Monitor and optimize service mesh performance and resource utilization
- Implement multi-cluster service mesh architectures across different cloud providers
Reverse Proxy & Load Balancing
- Deploy, configure, and manage HAProxy for high-performance load balancing and reverse proxy
- Implement HAProxy ACLs, backend routing, health checks, and session persistence
- Design and implement Nginx as reverse proxy for web applications and API gateways
- Configure Nginx for rate limiting and request filtering
- Implement Nginx load balancing algorithms and upstream health monitoring
- Manage Nginx Plus features for advanced traffic management and monitoring
- Optimize HAProxy and Nginx performance for high-throughput environments
Infrastructure as Code & Configuration Management
- Develop and maintain infrastructure as code using Terraform
- Create reusable, modular Terraform configurations for various cloud resources and Implement Terraform state management and remote backends
- Design and implement configuration management solutions using Ansible
- Develop Ansible playbooks and roles for automated server provisioning and configuration
- Integrate Terraform and Ansible workflows for end-to-end infrastructure automation
- Implement infrastructure version control, code review processes, and GitOps practices
- Manage infrastructure drift detection and remediation
- Create and maintain infrastructure documentation and architecture diagrams
- Implement policy-as-code using tools like OPA (Open Policy Agent) or Sentinel
CI/CD Pipeline Management
- Design, implement, and maintain continuous integration pipelines using Jenkins and Harness
- Optimize build times and pipeline efficiency
- Integrate security scanning (SAST, DAST, container scanning) into CI/CD pipelines
- Configure Jenkins jobs, pipelines, and shared libraries for automated build, configure build agents, runners, and execution environments
- Implement Harness deployment pipelines for cloud-native applications
- Integrate CI/CD pipelines with version control systems (Git, GitHub, GitLab)
- Implement continuous deployment workflows using ArgoCD for Kubernetes-based applications
- Design and implement GitOps workflows with ArgoCD for declarative application delivery
- Manage ArgoCD application definitions, sync policies and multi-cluster deployments
- Implement progressive delivery strategies (blue-green deployments, canary releases) using ArgoCD
Message Streaming & Event-Driven Architecture
- Deploy and manage Apache Kafka clusters for real-time data streaming and event-driven architectures
- Configure Kafka topics, partitions, replication factors, and retention policies
- Implement Kafka Connect for data integration with various sources and sinks
- Monitor Kafka cluster health, performance metrics, and consumer lag
- Optimize Kafka performance for high-throughput and low-latency use cases
- Troubleshoot Kafka producer and consumer issues
Database & Proxy Management
- Deploy, configure, and manage ProxySQL for MySQL load balancing and high availability
- Implement query routing, caching, and connection pooling strategies using ProxySQL
- Optimize database performance through ProxySQL query analysis and optimization
- Implement database failover and disaster recovery using ProxySQL
- Monitor ProxySQL metrics and troubleshoot connection and performance issues
- Integrate ProxySQL with database clusters and replication topologies
- Implement database access security and audit logging through ProxySQL
Cloud Networking
- Design and implement cloud networking architectures, including VPCs, subnets, and network segmentation
- Configure and manage cloud load balancers (Application Load Balancers, Network Load Balancers, Cloud Load Balancing)
- Implement VPN connections, Direct Connect/Interconnect, and hybrid cloud networking solutions
- Implement network security controls, including security groups, network ACLs, and firewall rules
- Implement network monitoring and traffic analysis
- Troubleshoot complex networking issues across multi-cloud environments
- Design and implement private connectivity between cloud providers
Secrets Management & Security
- Configure and manage HashiCorp Vault for centralized secrets management across multi-cloud environments
- Configure Vault secret engines (KV, database, PKI, AWS, GCP, Azure dynamic secrets)
- Manage Vault high availability clusters and disaster recovery procedures
- Implement dynamic database credentials and secret rotation strategies
- Manage Vault encryption as a service for application-level encryption
- Implement Vault agent and sidecar injectors for Kubernetes workloads
- Migrate secrets from legacy systems to Vault
Qualifications, Competency & Skills Required
Education & Experience
- Bachelor's degree or diploma in Computer Science, Information Technology, Engineering, or related field
- Minimum of 5 years of proven experience in cloud engineering, DevOps, or platform engineering roles
- Hands-on experience managing production workloads across multiple cloud platforms
- Relevant cloud and technology certifications are highly desirable
Technical Skills
Cloud Platforms (Required)
- Google Cloud Platform (GCP): Deep expertise in Compute Engine, GKE, Cloud Storage, Cloud SQL, VPC, Cloud Functions, Cloud Run, IAM
- Amazon Web Services (AWS): Proficiency in EC2, EKS, S3, RDS, VPC, Lambda, ECS, CloudFormation, IAM
- Microsoft Azure: Experience with Virtual Machines, AKS, Blob Storage, Azure SQL, Virtual Networks, Azure Functions, ARM templates
- Oracle Cloud Infrastructure (OCI): Familiarity with Compute, OKE, Object Storage, networking, and OCI-specific services
- Multi-cloud architecture design and implementation experience
- Cloud migration strategies and execution (lift-and-shift, re-platforming, re-architecting)
Container & Orchestration (Required)
- Expert-level Kubernetes knowledge, including cluster architecture, networking, storage, and security
- Hands-on experience with managed Kubernetes services (GKE, EKS, AKS)
- Proficiency in Docker containerization, image optimization, and registry management
- Experience with Helm charts for application packaging and deployment
- Knowledge of container runtime environments (containerd, CRI-O)
Service Mesh & Microservices (Required)
- Istio: Deep expertise in Istio architecture, deployment, and operations
- Istio traffic management (virtual services, destination rules, gateways, service entries)
- Istio security features (mTLS, authorization policies, peer authentication, request authentication)
- Istio observability and telemetry configuration
- Multi-cluster and multi-mesh deployments
- Service mesh troubleshooting and performance optimization
- Understanding of sidecar proxy patterns and Envoy proxy
- Experience with other service mesh solutions (Linkerd, Consul Connect) is a plus
Reverse Proxy & Load Balancing (Required)
- HAProxy Advanced configuration and management for load balancing and high availability
- Nginx Expert-level configuration as reverse proxy and API gateway
- Nginx rate limiting, and performance tuning
- Nginx load balancing algorithms and upstream configurations
- Experience with Nginx modules and custom configurations
- High availability configurations using keepalived, VRRP, or similar
- Integration with Kubernetes ingress controllers (Nginx Ingress, Istio Ingress)
Infrastructure as Code (Required)
- Advanced Terraform skills for multi-cloud infrastructure provisioning
- Terraform module development, state management, and workspace strategies
- Proficiency in Ansible for configuration management and automation
- Ansible playbook development, roles, and inventory management
- Experience with version control systems (Git) and GitOps workflows
- Infrastructure testing frameworks (Terratest, Kitchen-Terraform)
CI/CD Tools (Required)
- Jenkins: Pipeline development (declarative and scripted), shared libraries, plugin management
- Harness: Deployment pipeline configuration, workflow creation, approval gates
- ArgoCD: GitOps workflows, application synchronization, multi-cluster management
- Integration of CI/CD tools with Kubernetes and cloud platforms
- Automated testing and deployment strategies
- Artifact repository management (Nexus, Artifactory, cloud-native registries)
Messaging & Streaming (Required)
- Apache Kafka architecture, cluster management, and operations
- Kafka topic design, partitioning strategies, and performance tuning
- Kafka Connect experience
- Experience with Kafka management tools (Kafka Manager, Cruise Control)
- Understanding of event-driven architectures and patterns
Database & Proxy Technologies (Required)
- ProxySQL configuration, management, and optimization
- MySQL database administration basics
- Understanding of database replication and clustering
Observability & Monitoring (Required)
- Prometheus metrics collection, PromQL, and alerting rules
- Grafana dashboard design and visualization techniques
- Log aggregation and analysis
Networking (Required)
- Deep understanding of TCP/IP, DNS, HTTP/HTTPS, and network protocols
- Cloud networking concepts (VPC, subnets, routing tables, NAT, VPN)
- Load balancing strategies and implementations
- Service discovery and DNS-based routing
- Network security and firewall configuration
- Software-defined networking (SDN) concepts
Scripting & Programming
- Proficient in scripting languages: Python, Bash
- Go or python programming basics for tooling development
- YAML and JSON for configuration management
- Understanding of software development best practices
Secrets Management (Required)
- HashiCorp Vault: Advanced knowledge of Vault architecture, deployment, and operations
- Vault authentication methods and integration with cloud providers and Kubernetes
- Vault secret engines (KV v1/v2, database, transit, cloud dynamic...
What we can offer you
- Culture -We put our people first and prioritize the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
- Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
- Compensation - You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits.
What to expect in the hiring process
- A technical interview with the Hiring Manager
- A behavioural and technical interview with a member of the Executive team.
Ready to apply?
Apply to Moniepoint