{"id":69437,"url":"https://alion.io/job/appier-software-engineer-intern-backend-development","title":"Software Engineer Intern, Backend Development","company":{"id":177717,"name":"Appier","domain":"appier.com","url":"https://alion.io/company/appier-2","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":85,"open_postings":62,"ghost_share":0.161,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":281,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"intern","employment_type":"internship","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Taipei, Taiwan"],"countries":["TW"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Git","optional":false},{"name":"Go","optional":false},{"name":"GraphQL","optional":false},{"name":"Linux","optional":false},{"name":"MySQL","optional":false},{"name":"Python","optional":false},{"name":"Redis","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Amazon EC2","optional":true},{"name":"Amazon ECS","optional":true},{"name":"Amazon S3","optional":true},{"name":"Ansible","optional":true},{"name":"API Gateway","optional":true},{"name":"ArgoCD","optional":true},{"name":"AWS","optional":true},{"name":"AWS Lambda","optional":true},{"name":"CI/CD","optional":true},{"name":"CUDA","optional":true},{"name":"CUDA Toolkit","optional":true},{"name":"Docker","optional":true},{"name":"Flink","optional":true},{"name":"GCP","optional":true},{"name":"Hadoop","optional":true},{"name":"HAProxy","optional":true},{"name":"JavaScript","optional":true},{"name":"Jenkins","optional":true},{"name":"Kubernetes","optional":true},{"name":"Nginx","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2025-06-16T10:25:46Z","employer_posted_date":"2026-08-11","last_verified_at":"2026-10-17T03:16:01Z","board_verified":true,"closed_at":null,"days_open":487,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":487},"description":"About Appier \nAppier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud-each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange.\nVisit www.appier.com for more information.\nAbout the role\nBackend Development Intern at Appier works on a wide range of software projects that may extend solution innovation, impact product development processes or contribute directly to Appier’s product lines. \nWe are currently looking for individuals who can commit to an internship schedule of 2-4 days (16-32 hours) per week. This internship opportunity entails a minimum duration of 6 months, beginning from the present date. We advise prospective applicants to carefully assess their availability for this commitment before submitting their applications.\nAfter the internship, there is an opportunity to transition from an intern to a full-time position.\n[ Due to the hybrid work model, this position cannot be fully remote and requires working in the Taiwan office. ]\nResponsibilities\nDeveloping and operate scalable, reliable and maintainable service-based software and related components.\nImprove the scalability and observability of the system.\nProposing and prototyping solutions to ease software development, monitoring of software, etc.\nProfiling and performance tuning of critical components.\nImproving system quality with test automation and related toolings. \nParticipate in idea brainstorming and contribute ideas to technology, algorithms and products.\nAbout you\n[Minimum qualifications]\nCurrently pursuing a degree in Computer Science or a related technical field.\nProficient in building web services on a Linux platform.\nStrong skills in at least one of the following programming languages: Python, Go or Java.\nSolid understanding of Network API Design principles (e.g., REST or GraphQL).\nFamiliar with SQL and NoSQL databases (e.g., MySQL, MongoDB, Redis, etc.).\nMinimum familiarity with Git version control and the ability to perform basic Git operations.\nExperience with Linux-based development, including setting up application runtime environments and optimizing machine resource utilization.\nBasic proficiency in Python programming, and experience with simple coding tests and open-source contributions.\nA collaborative team player who is also capable of independent work.\nProactive with strong interpersonal and problem-solving skills.\n[Preferred Qualifications]\nBachelor’s degree in Computer Science or a related field.\nProficient in performance profiling and debugging tools.\nExperience in developing high-performance network services on Linux.\nAbility to design and architect large-scale distributed systems, as well as knowledge of distributed algorithms and data structures.\nFamiliarity with HTML and JavaScript.\nExperience with Nginx and HAProxy.\nKnowledge of Docker and Kubernetes, including experience using these tools.\nFamiliarity with automation tools (such as Ansible) and CI/CD frameworks, with practical experience using tools like Jenkins, Drone, ArgoCD, etc.\nUnderstanding cloud infrastructure and services (AWS or GCP), as well as concepts related to cloud vs. on-premise solutions.\nExperience with cloud managed services (e.g., EC2, S3, Lambda, Load Balancer, ECS, API Gateway, etc.).\nUnderstanding the basics of distributed computing and parallel programming, with experience writing parallel programs using frameworks like Hadoop, Spark, Hive, CUDA, Flink, etc.\nEnthusiastic adopter of “vibe coding” culture-collaborative, transparent, and always pushing technical excellence 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