Forward Deployed Systems Engineer

Job not on LinkedIn

🔥 2 hours ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

⚙️ Systems Engineer

👻 Ghost score 22%

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Logo of Marrina Decisions

Marrina Decisions

11 - 50 employees

🤝 B2B

📣 Marketing

B2B • Marketing

Marrina Decisions is a marketing services company that specializes in managed services for marketing campaigns, particularly those involving Marketo. They offer a wide range of services including Marketo optimization, migration, and quick launch, as well as email marketing services. The company acts as an extended team to offload marketing campaign execution work, allowing businesses to focus on their core activities. With expertise in marketing automation and operations, Marrina Decisions prides itself on delivering high-quality, efficient, and empathetic services that make a measurable impact on their clients' campaigns. Clients commend their ability to seamlessly integrate and manage multi-channel and multi-product customer journeys.

📋 Description

• Configure, maintain, and troubleshoot Linux servers and application environments • Manage cloud infrastructure, virtual machines, networking, DNS, firewalls, and SSL/TLS configurations • Diagnose system-level issues involving resource utilization, connectivity, permissions, and application availability • Maintain system reliability, performance, security, and operational stability • Automate routine administrative and infrastructure tasks • Develop, maintain, and debug software using Python and/or JavaScript/TypeScript • Build backend services, REST APIs, scripts, and automation utilities • Work with PostgreSQL and MySQL databases for application development and troubleshooting • Deploy and manage applications using Docker and container-based environments • Configure and maintain CI/CD pipelines for automated testing and deployment • Manage Git-based development workflows, application configurations, environment variables, and deployment processes • Implement monitoring, logging, backup, recovery, and operational procedures • Translate business and operational requirements into practical technical solutions • Integrate software applications with third-party APIs, databases, services, and external systems • Configure and deploy solutions across different infrastructure and operating environments • Work directly with stakeholders to understand requirements, investigate issues, and validate implementations • Investigate and resolve issues across application, infrastructure, database, and network layers • Perform root-cause analysis and implement sustainable corrective actions • Document system configurations, integrations, deployment procedures, and troubleshooting steps • Identify opportunities to improve automation, maintainability, security, and system performance

🎯 Requirements

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience • 3–5 years of relevant experience in systems engineering, software development, infrastructure engineering, DevOps, or a combination of these disciplines • Strong hands-on programming skills in Python or JavaScript/TypeScript • Practical experience administering and troubleshooting Linux environments • Understanding of backend applications, REST APIs, databases, and software integration • Experience with Docker, Git, and application deployment workflows • Working knowledge of AWS, Google Cloud Platform, or Microsoft Azure • Understanding of networking fundamentals, HTTP/HTTPS, DNS, ports, firewalls, and SSL/TLS • Experience with SQL databases, preferably PostgreSQL or MySQL • Strong analytical, debugging, and problem-solving abilities • Ability to work independently, manage competing priorities, and communicate effectively with technical and non-technical stakeholders • Experience with CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins • Familiarity with infrastructure automation tools such as Terraform or Ansible • Experience with monitoring, centralized logging, and performance troubleshooting • Exposure to Kubernetes, distributed systems, background workers, or message queues • Experience implementing integrations with external platforms and APIs • Familiarity with AI/ML application deployment or LLM-based systems • Experience working in environments that require direct technical implementation and stakeholder interaction

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