{"id":169934,"url":"https://alion.io/job/mastercard-lead-software-engineer-backend-ai","title":"Lead Software Engineer (Backend & AI)","company":{"id":252,"name":"Mastercard","domain":"mastercard.com","url":"https://alion.io/company/mastercard","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":94,"open_postings":254,"ghost_share":0.016,"stale_share":0.358,"repost_share":0.094,"time_to_fill_p50_days":21,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Ramat Gan, Israel"],"countries":["IL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":88000,"max_usd":264000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1965},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"JavaScript","optional":false},{"name":"Machine Learning","optional":false},{"name":"Node JS","optional":false},{"name":"Python","optional":false},{"name":"Apache Kafka","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"CI/CD","optional":true},{"name":"Computer Vision","optional":true},{"name":"Docker","optional":true},{"name":"DynamoDB","optional":true},{"name":"Flink","optional":true},{"name":"GitHub","optional":true},{"name":"GitHub Actions","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"Langfuse","optional":true},{"name":"LangGraph","optional":true},{"name":"NLP","optional":true},{"name":"OpenAI","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Recommender Systems","optional":true},{"name":"Redis","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-06-17T00:00:00Z","employer_posted_date":"2026-06-17","last_verified_at":"2026-10-18T07:19:54Z","board_verified":true,"closed_at":null,"days_open":123,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":123},"description":"Our Purpose\nMastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.\nTitle and Summary\nLead Software Engineer (Backend & AI)We are seeking an experienced Lead Software Engineer (Backend & AI) to drive the design, development, and scaling of advanced backend systems and AI-powered solutions.In this role, you will combine deep backend engineering expertise with strong AI understanding, leading a team to deliver high-performance, data-driven products. You will play a key role in shaping system architecture, integrating AI capabilities, and ensuring production-grade reliability at scale.\nKey Responsibilities:\n*Technical Leadership*\nLead the architecture and development of scalable backend systems and APIs\nDesign and implement AI-driven features, including AI model integration and inference pipelines\nDefine and enforce best practices for distributed systems, data processing, and system reliability\nOwn end-to-end system design, including performance, scalability, and security\n*AI & Data Engineering*\nCollaborate with data scientists/AI engineers to deploy, optimize, and monitor AI models in production\nBuild and maintain data pipelines and infrastructure supporting AI workloads\nEnsure efficient model serving, versioning, and lifecycle management\nOptimize performance of AI components (latency, cost, scalability)\n*Team Leadership & Mentorship*\nLead, mentor, and grow a team of backend and/or full-stack engineers\nFoster a strong engineering culture aligned with Israeli tech ecosystem standards (ownership, fast iteration, innovation)\nConduct code reviews and provide technical guidance\n*Delivery & Execution*\nPartner with Product, Data, and Business teams to define technical solutions\nDrive end-to-end delivery of complex projects in a fast-paced environment\nBreak down ambiguous problems into actionable plans\nEnsure timely and high-quality releases\nCross-Functional Collaboration\nWork closely with AI teams, DevOps, Architects and Product\nTranslate business needs into robust technical solutions\nCommunicate complex technical topics to non-technical stakeholders\n*Required Qualifications*\nBachelor’s or Master’s degree in Computer Science, Engineering, or equivalent\n8+ years of backend software development experience\n2+ years in a leadership or tech lead role\nStrong programming skills in languages such as Python and Node.js\nProven experience building large-scale distributed systems\nHands-on experience deploying or integrating machine learning models in production environments\nExperience working with cloud platforms (AWS, GCP, or Azure)\n*Preferred Qualifications*\nExperience in AI systems, including APIs for model inference (e.g., LLMs, recommendation systems, NLP, computer vision)\nFamiliarity with MLOps tools (e.g., Airflow, Vertex AI)\nExperience working with real-time data processing systems (Kafka, Spark, Flink)\nBackground in high-growth startups or Israeli tech companies\nExperience with microservices and Kubernetes-based architectures\n*Tech Stack*\nBackend: Python / Node.js\nAI: Bedrock, OpenAI, LangChain, LangGraph, Langfuse etc.\nData: PostgreSQL, Redis, DynamoDB, Snowflake\nInfrastructure: AWS / GCP, Docker, Kubernetes\nStreaming: Kafka\nCI/CD: GitHub Actions\n*Key Skills & Competencies*\nStrong system design and architecture skills\nAbility to bridge backend engineering and AI domains\nExcellent leadership and mentoring ability\nStrong problem-solving and analytical thinking\nAbility to thrive in a fast-paced environment\nEffective communication in English (Hebrew is a plus)\nCorporate Security Responsibility\nAll activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:\nAbide by Mastercard’s security policies and practices;\n\nEnsure the confidentiality and integrity of the information being accessed;\n\nReport any suspected information security violation or breach, and\n\nComplete all periodic mandatory security trainings in accordance with Mastercard’s 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