Bash Jobs in Pakistan.
All active Bash roles based in Pakistan.
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DevOps Engineer- Securiti.ai
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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
Lead Backend Developer - Securiti.ai
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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
- Be a part of a globally distributed team of backend engineers to design/develop/architect Securiti’s core backend platform
- Help create architecture documents, functional specifications, design documents, and developer test plans
- Coordinate end-to-end development, deployment, and testing of new features and enhancements in the product
- Write reliable, secure, performant, and scalable code
- Perform code reviews and analysis
- Monitor platform performance and be on-call to address any urgent issues
- Work with customer support and address customer issues
- Integrate new technologies into back-end cloud infrastructure
What You’ll Bring
- Minimum 7 years of experience developing software, with some experience using container technologies like Docker
- Experience in building highly available and scalable distributed systems for the cloud
- Strong conceptual understanding of multi-threaded applications
- Professional development experience in GoLang, Java, C++, or Python
- Good knowledge of Linux and bash scripting
- Good software development practices: should thrive in an environment of rapid development, peer code reviews, and write good functional/unit tests
- Experience with microservices and REST-based HTTP/2 architectures
- 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
- Understanding of continuous integration tools, including Jenkins
- 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
- Working knowledge of networks and web concepts
Bonus Skills
- Experience with cloud platforms such as AWS, GCP, and Azure
- Experience with Containerisation technologies (Kubernetes, Docker)
- Experience with tools like terraform, helm, docker
- Understanding of Network Services such as Load-Balancers, Security, QoS
- Understanding of platform level concerns, such as configuration management, network request routing, blue/green or canary deployments, in-service software upgrade
- Experience in building API based connectors to cloud-based SaaS services is a big plus
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
Lead Backend Developer - Securiti.ai
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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
- Be a part of a globally distributed team of backend engineers to design/develop/architect Securiti’s core backend platform
- Help create architecture documents, functional specifications, design documents, and developer test plans
- Coordinate end-to-end development, deployment, and testing of new features and enhancements in the product
- Write reliable, secure, performant, and scalable code
- Perform code reviews and analysis
- Monitor platform performance and be on-call to address any urgent issues
- Work with customer support and address customer issues
- Integrate new technologies into back-end cloud infrastructure
What You’ll Bring
- Minimum 7 years of experience developing software, with some experience using container technologies like Docker
- Experience in building highly available and scalable distributed systems for the cloud
- Strong conceptual understanding of multi-threaded applications
- Professional development experience in GoLang, Java, C++, or Python
- Good knowledge of Linux and bash scripting
- Good software development practices: should thrive in an environment of rapid development, peer code reviews, and write good functional/unit tests
- Experience with microservices and REST-based HTTP/2 architectures
- 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
- Understanding of continuous integration tools, including Jenkins
- 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
- Working knowledge of networks and web concepts
Bonus Skills
- Experience with cloud platforms such as AWS, GCP, and Azure
- Experience with Containerisation technologies (Kubernetes, Docker)
- Experience with tools like terraform, helm, docker
- Understanding of Network Services such as Load-Balancers, Security, QoS
- Understanding of platform level concerns, such as configuration management, network request routing, blue/green or canary deployments, in-service software upgrade
- Experience in building API based connectors to cloud-based SaaS services is a big plus
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 Engineer, Data Infrastructure & Acquisition - Islamabad, Pakistan
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The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.
What You’ll Do
- Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
- Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
- Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
- Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.
An Ideal Candidate Should Have
- BS/MS/PhD in Computer Science or a related field.
- 5+ years of industry experience in software development.
- Proficiency with bash/Python scripting in Linux environments
- Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
- Experience with web crawlers, large-scale data processing workflows is a plus
- Ability to handle multiple tasks and adapt to changing priorities.
- Strong communication skills, both written and verbal.
What we offer
- A fast-growing environment where you can help shape the company and product.
- An entrepreneurial-minded team that supports risk, intuition, and hustle.
- A hands-off management approach so you can focus and do your best work.
- An opportunity to make a big impact in a transformative industry.
- Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
- Opportunity to work on a life-changing product that millions of people use.
- Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
- Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
Software Engineer, Data Infrastructure & Acquisition - Karachi, Pakistan
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The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.
What You’ll Do
- Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
- Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
- Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
- Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.
An Ideal Candidate Should Have
- BS/MS/PhD in Computer Science or a related field.
- 5+ years of industry experience in software development.
- Proficiency with bash/Python scripting in Linux environments
- Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
- Experience with web crawlers, large-scale data processing workflows is a plus
- Ability to handle multiple tasks and adapt to changing priorities.
- Strong communication skills, both written and verbal.
What we offer
- A fast-growing environment where you can help shape the company and product.
- An entrepreneurial-minded team that supports risk, intuition, and hustle.
- A hands-off management approach so you can focus and do your best work.
- An opportunity to make a big impact in a transformative industry.
- Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
- Opportunity to work on a life-changing product that millions of people use.
- Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
- Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.
Think you’re a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Ready to apply?
Apply to Speechify
Infrastructure Engineer (Data)
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About Telnyx
Telnyx is an industry leader that's not just imagining the future of global connectivity—we're building it. From architecting and amplifying the reach of a private, global, multi-cloud IP network, to bringing hyperlocal edge technology right to your fingertips through intuitive APIs, we're shaping a new era of seamless interconnection between people, devices, and applications.
We're driven by a desire to transform and modernize what's antiquated, automate the manual, and solve real-world problems through innovative connectivity solutions. As a testament to our success, we're proud to stand as a financially stable and profitable company. Our robust profitability allows us not only to invest in pioneering technologies but also to foster an environment of continuous learning and growth for our team.
Our collective vision is a world where borderless connectivity fuels limitless innovation. By joining us, you can be part of laying the foundations for this interconnected future. We're currently seeking passionate individuals who are excited about the opportunity to contribute to an industry-shaping company while growing their own skills and careers.
The Role
Telnyx infrastructure team is building a next-generation platform that spans across multiple cloud providers and multiple continents. We leverage the Telnyx private backbone network with cross-connects to major cloud providers like AWS, Azure, GCP, and IBM Cloud to build a cloud-agnostic, highly available platform. With our lean team, we're currently running infrastructure in 10 PoPs and 3 continents.
In This Role You Will
- Design, develop, and deploy scalable solutions for managing databases like PostgreSQL, MySQL, Cassandra, Kafka, RabbitMQ, Redis, and others, both in virtualized environments and Kubernetes clusters.
- Collaborate with engineering to identify and resolve pain points in managing large-scale, high-availability database infrastructure.
- Lead the migration of existing database services from VMs to Kubernetes, ensuring minimal downtime and seamless transitions.
- Support disaster recovery, backup strategies, and performance tuning for on-premise database systems.
- Implement and manage observability, logging, and alerting systems.
Must-Have Experience:
- 3+ years of professional experience in infrastructure operations, especially in Linux-based systems.
- Expertise in at least one deployment and orchestration technology (Kubernetes, Ansible, or Terraform), with a focus on deploying and managing stateful applications
- Skills in scripting languages such as Bash, Python, or similar, to automate workflows and manage infrastructure.
- Hands-on experience managing at least one relational databases like PostgreSQL or MySQL
You’d Be A Good Fit If You Have
- Experience with non-relational databases such as Cassandra, OpenSearch, or other distributed data stores.
- Familiarity with streaming and messaging platforms like Kafka or RabbitMQ, including scaling and monitoring in a distributed setup.
- Proficiency in observability tools like Prometheus, Grafana, ELK stack, or others to ensure system performance and reliability.
Bonus Points For:
- Knowledge of service discovery tools like Consul, or similar technologies, would be a great advantage
Growth Opportunities:
- Act as a strength multiplier to product engineering efforts.
- Learn about every technology stack used at Telnyx.
- Work at the intersection of the social and the technical, with growth opportunities in both.
#LI-KG1
#LI-REMOTE
Ready to apply?
Apply to Telnyx
Senior Cloud Engineer
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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