Systems Engineer
2 weeks ago
Responsibilities : Maintaining and support the firm’s global trading Linux infrastructure, ensuring high availability and performance. Diagnosing, prioritizing, and resolving complex incidents and service requests with a sense of urgency. Proactively identifying issues, implement planned changes, and develop long-term solutions to improve service reliability and prevent recurrence. Contributing to the automation of provisioning, configuration, and monitoring across thousands of Linux servers. Managing and optimize critical core services including DHCP, LDAP, DNS, and NFS across on-prem, hosted data centers, and public cloud environments. Collaborating cross-functionally with support, development, core infrastructure teams, and other stakeholders to solve complex technical challenges. Leading and execute infrastructure projects and the deployment of critical production changes. Monitoring and ensure optimal performance and health of the firm’s low-latency infrastructure. Participating in an on-call rotation and occasional weekend support as part of a global team. Maintaining active daily communication with trading teams and core engineering groups. Qualifications: 3–6 years of hands-on experience managing and maintaining complex Linux environments. Proven experience with automation and monitoring tools, including configuration management, version control, CI/CD, and automated deployments. Solid understanding of Linux OS concepts, internals, and performance tuning. Strong knowledge of Intel-based server hardware and related components. Familiarity with infrastructure-as-code (IaC) methodologies and tools. Proficient in Bash scripting; strong working knowledge of Python & Solid grasp of server-side networking fundamentals and common network protocols. Degree in Computer Science or a related technical field. Experience with container technologies such as Docker and Kubernetes Contributions to open-source or personal technical projects demonstrating passion for technology. Benefits: Tower’s headquarters are in the historic Equitable Building, right in the heart of NYC’s Financial District and our impact is global, with over a dozen offices around the world. At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive – without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win. Our benefits include: Generous paid time off policies Savings plans and other financial wellness tools available in each region Hybrid working opportunities Free breakfast, lunch and snacks daily In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more) Volunteer opportunities and charitable giving Social events, happy hours, treats and celebrations throughout the year Workshops and continuous learning opportunities At Tower, you’ll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work – together.
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AI & Embedded System Engineer
1 week ago
Gurugram, India Inxee Systems Private Limited Full timePosition Title: AI & Embedded Systems EngineerLocation: Gurgaon Job Description: We’re looking for an innovative and technically strong R&D Engineer – AI & Embedded Systems with expertise in Python, AI, and Machine Learning, combined with a solid understanding of C/C++ and Linux programming. The ideal candidate will bridge the gap between data science...
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Gurugram, India Inxee Systems Private Limited Full timePosition Title: AI & Embedded Systems EngineerLocation: Gurgaon Job Description: We’re looking for an innovative and technically strong R&D Engineer – AI & Embedded Systems with expertise in Python, AI, and Machine Learning, combined with a solid understanding of C/C++ and Linux programming. The ideal candidate will bridge the gap between data science...
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