{"id":1899115,"url":"https://alion.io/job/the-infatuation-sr-lead-software-engineer-javapython-data-engineering","title":"Sr Lead Software Engineer - Java/Python, Data Engineering","company":{"id":1048574,"name":"The Infatuation","domain":"theinfatuation.com","url":"https://alion.io/company/the-infatuation","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":100,"open_postings":200,"ghost_share":0.01,"stale_share":0,"repost_share":0.2,"time_to_fill_p50_days":4,"computed_at":"2026-10-05T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":25000,"max_usd":45000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Airflow","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Dynatrace","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Grafana","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"Memcached","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"Redis","optional":false},{"name":"Splunk","optional":false},{"name":"Tool Use","optional":false},{"name":"Apache Iceberg","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"Databricks","optional":true},{"name":"OpenAI","optional":true},{"name":"pySpark","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-05T08:07:13Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-05T23:26:05Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Join a team where your advanced engineering skills drive impactful solutions for a global financial leader. Grow your career while shaping the future of data-driven risk assessment.\nJob summary\nAs a Senior Lead Software Engineer at JPMorgan Chase within the Corporate Sector Data Engineering team, you will deliver secure and scalable solutions that support the firm’s Global Know Your Customer (KYC) and Risk Assessment Data Platform. You will collaborate with talented colleagues to drive best-in-class outcomes and set engineering standards. Your leadership will help define architecture and practices across multiple teams. Together, we create trusted platforms that power the firm’s critical risk management initiatives.\nJob responsibilities\nDevelop secure, high-quality production code for data-intensive applications and platforms, and mentor other engineers\nCreate durable, reusable software frameworks and patterns leveraged across teams and functions\nDesign and govern agentic AI systems, including multi-agent workflows, tool-use integrations, and human-in-the-loop controls for regulated environments\nEstablish engineering standards for LLM-based applications, ensuring safety, observability, and reproducibility at scale\nDrive adoption of advanced technical methods and practices aligned with industry standards and product development methodologies\nAdvise cross-functional teams on technological matters within your domain of expertise\nApply knowledge of tools within the Software Development Life Cycle toolchain, including AI-assisted development and automation capabilities, to improve automation at scale\nRequired qualifications, capabilities and skills\nFormal training or certification on software engineering concepts and 5+ years applied experience\nHands-on practical experience delivering system design, application development, testing, and operational stability at enterprise scale\nHands-on experience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures with tool use, memory, and multi-step reasoning in regulated environments\nExpert in one or more programming languages, particularly Python and/or Java\nAdvanced knowledge of software application development and technical processes, with considerable depth in one or more disciplines (e.g., cloud, AI/ML, data engineering)\nExperience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal)\nAdvanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures, and data governance\nPractical cloud-native experience (AWS, Azure, or GCP)\nAbility to present and effectively communicate with senior leaders and executives\nPreferred qualifications, capabilities and skills\nExperience with modern data platforms such as Databricks or Snowflake\nDeep hands-on experience with Spark/PySpark and other big data processing technologies\nExpertise in open-source table formats and catalog services such as Apache Iceberg\nExperience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI)","description_format":"text","description_chars":3225,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Food & 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