
Senior Service Engineer
Posted May 20

Posted May 20
This is a fully remote position, open to applicants in India.
• Take charge of troubleshooting tasks and demonstrate enthusiasm for collaborating with various stakeholders, including customers.
• Display a willingness to learn new technical stacks.
• Show commitment to meeting and surpassing SLAs, with a strong sense of accountability and follow-through.
• Communicate clearly and confidently with customers and internally, translating complex technical issues into transparent and reassuring updates.
• Diagnose and resolve intricate technical problems, escalating to team leads or engineering departments when necessary.
• Keep customers updated on the status of their issues and ensure resolutions are achieved within agreed SLAs.
• Monitor open cases and follow up to guarantee timely closure.
• Adhere to and contribute to existing SOPs and knowledge base articles, proposing updates when gaps are found.
• Maintain precise and current case documentation in the ticketing system.
• Identify SLA risks on individual cases and promptly communicate them to the lead.
• Collaborate with internal teams such as engineering and product to investigate and resolve customer issues.
• Act as a dependable technical contact for customers throughout the issue resolution process.
• Relay customer feedback and observations to the lead to facilitate ongoing improvements.
• Proficient in Linux with confidence in command line and system fundamentals.
• Familiarity with GitLab/Git, including working knowledge of Git workflows and key commands.
• Capability to read, write, and debug basic Python scripts.
• Awareness and substantial experience with the software development life cycle (SDLC).
• Experience working with Apache Airflow and DAGs.
• Professional working proficiency in English, both spoken and written.
• Experience in Customer Support L1/L2 is a significant advantage.
• Knowledge of AWS services (EFS, EC2, SGW, ASG, NLB, and more).
• Understanding of computer networking diagnostic tools like ping, traceroute, mtr, netstat/ss, and dig.
• Practical experience with observability stacks such as ELK or LGTM.
• Familiarity with ITSM concepts (Incident, Problem, Service Request, Change, etc.).
• Basic understanding of financial markets and trading workflows, including common asset classes (e.g., equities, derivatives, fixed income), trade lifecycle events, and corporate actions.
• Experience with Pandas and NumPy.
• Ability to work with large datasets (chunking).
• Basic understanding of memory usage performance.
• Flexible working arrangements: full remote, hybrid, or office-based, depending on your location and preferences.
• Competitive compensation, aligned with your experience, skill set, education, and local market standards.
• Regular performance reviews linked to salary adjustments.
• Medical insurance for you and your immediate family members (Benefits may vary based on location and country-specific requirements).
• Professional development budget to support courses, certifications, and conferences.
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