Kerja Sepenuh Masa, Technical Operations Lead di International SOS - Maukerja

The Technical Operations Lead will lead the design, delivery, and reliable operation of business-critical applications and data integrations. The role combines hands-on .NET and AWS technical leadership with architecture, ETL/data engineering knowledge, operational ownership, and mentorship of junior developers. The Technical Operations Lead partners with Engineering, Product, Operations, and client-facing teams to deliver secure, scalable, supportable solutions and dependable service outcomes.

Core Responsibilities:

• Own technical direction and solution architecture for .NET applications, APIs, integrations, operational systems, and data platforms.
• Lead application delivery across design, estimation, development, code review, testing, release, and post-production support.
• Design and optimize AWS-based solutions using cloud-native patterns, appropriate managed services, observability, resilience, and security controls.
• Provide operational leadership for production services, including monitoring, incident response, troubleshooting, root-cause analysis, corrective actions, and service improvement.
• Design, support, and improve ETL processes, data pipelines, transformation rules, APIs, and integrations using structured data formats such as JSON, XML, CSV, and relational data.
• Work with stakeholders to translate business and operational requirements into pragmatic, scalable, and maintainable technical solutions.
• Mentor junior developers and analysts through coaching, design guidance, code reviews, knowledge sharing, and engineering best practices.
• Drive automation, documentation, technical standards, and continuous improvement across software delivery and operational workflows.
• Coordinate with internal teams, clients, vendors, and technology partners to resolve complex technical and data-related issues.
• Monitor daily data operations, identify processing failures, missing or delayed data, and data discrepancies, and coordinate investigation and resolution with relevant internal teams, clients, and external vendors to ensure accurate and timely data delivery.
• Manage and triage tickets raised through the ticketing system by internal stakeholders, prioritizing requests based on urgency and business impact, coordinating investigation and resolution, and ensuring timely responses and resolution in accordance with agreed service-level agreements (SLAs).

Requirements:

• Bachelor’s degree in Computer Science, Information Technology, Software Engineering, Information Systems, Data Analytics, or a related discipline, or equivalent practical experience.
• 5+ years of software engineering or technical operations experience, including responsibility for production systems and service reliability.
• Strong hands-on development experience with .NET and C#, including web applications, REST APIs, JSON, and service integrations.
• Practical experience designing, building, or supporting solutions on AWS; understanding of cloud architecture, security, scalability, resiliency, and monitoring.
• Working knowledge of data engineering and ETL concepts, including ingestion, transformation, validation, reconciliation, data quality, and pipeline troubleshooting.
• Strong SQL and relational database skills; experience with SQL Server and T-SQL or equivalent technologies.
• Ability to develop and communicate architecture, system integration, data-flow, and technical design decisions.
• Production operations experience, including incident management, root-cause analysis, problem resolution, change/release management, and SLA-driven support.
• Experience leading technical delivery and mentoring junior developers or analysts without requiring formal people-management responsibility.
• Strong analytical, problem-solving, stakeholder-management, and written/verbal communication skills.
• Ability to work effectively across global, cross-functional teams and manage multiple priorities with clear ownership.
• Working knowledge of artificial intelligence (AI) and large language models (LLMs), including awareness of practical business and software-development use cases.