Systems & Server Administration and Integration: Deploy, configure, and maintain server operating systems, including various Linux distributions (Ubuntu, Oracle Linux, Debian) and Windows Server environments.
Data Center & EMS Management: Assist with the setup, integration, and continuous monitoring of Environmental Monitoring Systems (EMS), UPS units, power monitoring hardware, and data center infrastructure monitoring software such as Eaton Brightlayer, Schneider Ecostruxture and AKCP Quicklime.
On-Site & Outstation Fieldwork: Perform hardware installations, server racking, cabling, sensor placements, and equipment maintenance at client facilities, data centers, and outstation locations.
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Apply general knowledge of principles, terms, and practices of instrumentation and automation engineering to support the design and build of safe and reliable operations.
Coordinate and provide direct support and delivery of services for an operation.
Execute and support instrumentation and automation engineering standards and deliverables in capital projects.
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Delivery of high-quality infrastructure as code solutions and CI/CD pipelines
Implementation of monitoring solutions for client-facing products and internal data pipelines, including intelligent alarming for quicker incident detection and resolution
Track and manage infrastructure & application vulnerabilities
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A Bachelor's, Master's, or Ph.D. degree in Computer Science, Information Systems, Engineering, or a related field.
Around 3+ years of professional experience as a Software Engineer or in a similar role, with hands-on software development and operations experience in a cloud environment.
Hands-on experience with one or more programming languages (Java & Spring Boot preferred) and scripting languages.
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A Bachelor's, Master's, or Ph.D. degree in Computer Science, Information Systems, Engineering, or a related field.
Around 3+ years of professional experience as a Software Engineer or in a similar role, with hands-on software development and operations experience in a cloud environment.
Hands-on experience with one or more programming languages (Java & Spring Boot preferred) and scripting languages.
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Perform full-stack development across frontend, backend, infrastructure, and operations — including the design, development, testing, configuration, and deployment of technical products within your application or platform domain.
Take end-to-end ownership of features and components: design, build, test, deploy, and operate them to solve technical challenges with growing autonomy.
Identify and help address technical debt and operational risks proactively.
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Cloud infrastructure & reliability – Design and maintain cloud infrastructure, primarily on AWS, for availability, scalability, and cost efficiency. Manage Infrastructure as Code and automated provisioning.
CI/CD & Automation – Build and operate CI/CD pipelines for frequent, reliable releases. Set up pipelines, infrastructure, and monitoring for product teams, enabling them through automation and self-service.
Operations & Support – Provide 2nd/3rd-level support, lead incident handling and root cause analysis, and coordinate evergreen (keep-current) activities with product teams.
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Cloud infrastructure & reliability – Design and maintain cloud infrastructure, primarily on AWS, for availability, scalability, and cost efficiency. Manage Infrastructure as Code and automated provisioning.
CI/CD & Automation – Build and operate CI/CD pipelines for frequent, reliable releases. Set up pipelines, infrastructure, and monitoring for product teams, enabling them through automation and self-service.
Operations & Support – Provide 2nd/3rd-level support, lead incident handling and root cause analysis, and coordinate evergreen (keep-current) activities with product teams.
...
Cloud infrastructure & reliability – Design and maintain cloud infrastructure, primarily on AWS, for availability, scalability, and cost efficiency. Manage Infrastructure as Code and automated provisioning.
CI/CD & Automation – Build and operate CI/CD pipelines for frequent, reliable releases. Set up pipelines, infrastructure, and monitoring for product teams, enabling them through automation and self-service.
Operations & Support – Provide 2nd/3rd-level support, lead incident handling and root cause analysis, and coordinate evergreen (keep-current) activities with product teams.
...
Delivery of high-quality infrastructure as code solutions and CI/CD pipelines
Implementation of monitoring solutions for client-facing products and internal data pipelines, including intelligent alarming for quicker incident detection and resolution
Track and manage infrastructure & application vulnerabilities
...
You have 7+ years of software engineering experience: At least 3 years building production AI systems. Not prototypes - systems that handle real traffic at scale.
You’ve shipped production AI: Not notebooks. Not demos. Systems that handle real traffic, break in unexpected ways, and teach you things papers didn't mention.
You operate across paradigms: You are comfortable with SQL and with prompt engineering. You pick the right tool, not your favourite tool.
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Implement and maintain DevOps practices, including Continuous Integration (CI), Continuous Delivery (CD), and Infrastructure as Code (IaC), to refine deployments.
Develop, and support cloud solutions, including deployment pipelines, automation, virtual machines, and PaaS services.
Assess security vulnerabilities, ensuring understanding of security standards.
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Development and implementation of digital strategies; ensuring the core infrastructure of products, services, processes and systems; consistent introduction of innovative technologies and expansion of the use of digital channels.
Apply and further develop the competencies required to build new, future-oriented digital architecture.
Participate in a cross-functional team to complete all tasks required to deliver the relevant products, services, processes and systems.
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Model & Prompt Engineering: Design, test, and iterate prompts that improve reasoning, factuality, and user experience.
Agentic AI Frameworks: Build, manage and orchestrate agentic workflows involving tool calling, reasoning loops, memory management, skills orchestration, and multi-step task execution.
AI Safety & Reliability: Implement guardrails, monitoring, and validation mechanisms to ensure AI systems remain safe, reliable, and ethically grounded.
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