Senior Systems Engineer

At ByteForth, we're engineering the future of AI-powered SaaS applications and intelligent automation workflows. Our infrastructure isn't just supporting products—it's enabling breakthrough innovations that serve users across the globe. As we scale our platform to handle increasingly sophisticated AI workloads and real-time automation systems, we need a Senior Systems Engineer who can architect, optimize, and secure the foundation that powers everything we build.

This is a rare opportunity to work on genuinely complex systems challenges. You'll be responsible for infrastructure that needs to be fast, reliable, and cost-efficient while supporting cutting-edge AI models and high-throughput automation pipelines. If you're energized by solving hard technical problems and want your work to directly impact how modern software gets built and deployed, this role is for you.

Role Overview

As a Senior Systems Engineer at ByteForth, you'll own critical infrastructure components that keep our applications running smoothly and securely. You'll work closely with our engineering teams to design and implement scalable systems architecture, automate deployment workflows, and ensure our platforms maintain 99.9%+ uptime even as we handle unpredictable AI workloads.

You'll have full autonomy to choose the right tools and approaches, collaborate with top-tier engineers who value technical excellence, and build systems that are both powerful and elegant. This isn't about maintaining legacy infrastructure—you'll be shaping how a modern, remote-first software agency operates at scale.

Key Responsibilities

• ▹Design, implement, and maintain cloud infrastructure (AWS, GCP, or Azure) that supports AI model training, inference, and real-time automation workflows
• ▹Build and optimize container orchestration systems using Kubernetes or similar platforms, ensuring efficient resource utilization and auto-scaling capabilities
• ▹Develop infrastructure as code using Terraform, Ansible, Pulumi, or similar tools to enable reproducible, version-controlled deployments
• ▹Monitor system performance, identify bottlenecks, and implement proactive solutions that improve reliability, speed, and cost-efficiency
• ▹Implement comprehensive security practices including access control, encryption, vulnerability scanning, and compliance monitoring
• ▹Collaborate with engineering teams to design CI/CD pipelines that enable rapid, safe deployment of applications and AI models
• ▹Manage database systems (PostgreSQL, MongoDB, Redis, vector databases) with focus on performance optimization, backup strategies, and disaster recovery
• ▹Document architecture decisions, create runbooks, and establish best practices that enable the entire team to work more effectively

What We Look For

• ▹5+ years of hands-on experience managing production Linux systems and cloud infrastructure at scale
• ▹Expert-level proficiency with at least one major cloud platform (AWS, GCP, or Azure) including networking, compute, storage, and managed services
• ▹Strong experience with containerization (Docker) and orchestration platforms (Kubernetes, ECS, or similar)
• ▹Proven track record implementing infrastructure as code and configuration management tools
• ▹Deep understanding of networking fundamentals including TCP/IP, DNS, load balancing, CDNs, and VPNs
• ▹Experience with monitoring and observability tools (Prometheus, Grafana, ELK stack, DataDog, or similar)
• ▹Solid scripting skills in Python, Bash, or Go for automation and tooling
• ▹Strong problem-solving abilities and comfort working independently in a remote environment

Nice-to-Haves

• ▹Experience managing infrastructure for ML/AI workloads including GPU clusters and model serving platforms
• ▹Familiarity with service mesh technologies (Istio, Linkerd) and advanced Kubernetes patterns
• ▹Background in security engineering, penetration testing, or compliance frameworks
• ▹Contributions to open-source infrastructure or DevOps projects
• ▹Experience with multi-region deployments and global traffic management

What We Offer

• ▹Competitive compensation ranging from PKR 3,000,000 to PKR 6,000,000 annually, based on your experience and expertise—placing you in the top tier of systems engineers in Pakistan
• ▹100% remote freedom—work from anywhere in Pakistan with flexible hours that respect your productivity rhythms
• ▹Zero bureaucracy—we trust you to own your domain, make architectural decisions, and implement solutions without endless approval chains
• ▹Elite team environment—collaborate with Pakistan's top 1% engineers who value technical excellence, clean architecture, and continuous learning
• ▹Real impact—your infrastructure decisions will directly influence product performance, user experience, and business outcomes
• ▹Professional growth—budget for courses, certifications, and tools that make you more effective; we invest in your long-term development

How to Apply

Ready to build infrastructure that powers the future of AI and automation? We'd love to hear from you. Submit your application using the form below, and share any relevant projects, infrastructure work, or open-source contributions that showcase your systems engineering expertise. We review every application carefully and will respond within one week.