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

About the Role

This role sits at the core of Careem's NextGen program, our initiative to grow the next generation of engineers across the organization. This isn't just about writing code; it’s about reimagining how we build. We are looking for AI-native engineers—problem-solvers who leverage AI to automate the mundane, architect scalable systems at lightning speed, and focus their human intellect on high-level design.

As a Senior Software Engineer I in the Central Engineering team, you are a force multiplier. You don’t just deliver features; you set the standard for how they are delivered. You will bridge the gap between complex requirements and elegant, AI-augmented implementations, owning large components of our ecosystem and relentlessly driving excellence through automation.

What You'll Do

• AI-Driven Development: Lead by example in using AI tools (Claude Code, LLMs, automated agents) to accelerate the entire SDLC—from rapid prototyping to automated testing and documentation.
• Ownership: Design, develop, and maintain complex, full-stack features, owning the lifecycle of your services—from initial system design and API contracts to deployment and on-call support.
• System Architecture: Contribute significantly to system design discussions, evolving patterns to ensure our microservices are scalable, decoupled, and resilient.
• Quality & Mentorship: Maintain a high bar for code quality through deep code reviews. Actively mentor Software Engineers (I & II), fostering a culture of AI-first thinking.
• Operational Excellence: Participate in on-call rotations, lead incident post-mortems, and build "self-healing" systems with automated monitoring.

What You'll Need

• Experience: 6+ years of professional software development experience with a proven track record of shipping high-scale distributed systems.
• The AI-First Mindset: You have integrated AI tools into your daily workflow to increase velocity and code quality.
• Technical Stack: Proficiency in modern backend languages (Go, Java, or Node.js) and a deep understanding of React and TypeScript on the frontend.
• Distributed Systems: Advanced knowledge of REST/gRPC, message brokers (Kafka/RabbitMQ), and both SQL/NoSQL databases.
• Cloud & Infrastructure: Deep familiarity with Docker, Kubernetes, and CI/CD pipelines, with the ability to own your infrastructure on AWS.
• Bonus Points: Experience building/integrating AI agents or LLM wrappers, and a history of contributing to open-source projects or tech blogs.

What we’ll provide you

We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:

• Work and learn from great minds by joining a community of inspiring colleagues.
• Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
• Explore new opportunities to learn and grow every day.
• Work 4 days a week in office & 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. 
• Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.
• This role is open to be hired in Karachi and Lahore

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.

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.