{"id":922138,"url":"https://alion.io/job/jpmorganchase-principal-software-engineer","title":"Principal Software Engineer","company":{"id":257,"name":"JPMorganChase","domain":"jpmorganchase.com","url":"https://alion.io/company/jpmorganchase","size_band":"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":535,"ghost_share":0.011,"stale_share":0.123,"repost_share":0.114,"time_to_fill_p50_days":8,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Backend","role_family":"Backend","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":["Jersey City, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":174000,"max_usd":353000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1093},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"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":"LLM Guardrails","optional":false},{"name":"Memcached","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"RAG","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":"2026-07-20T00:00:00Z","employer_posted_date":"2026-07-20","last_verified_at":"2026-10-18T08:45:06Z","board_verified":true,"closed_at":null,"days_open":90,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":90},"description":"If you are looking for a game-changing career, working for one of the world's leading financial institutions, you’ve come to the right place.\nAs a Principal Software Engineer at JPMorgan Chase within the Corporate Sector, you, you provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across various technologies to support one or more of the firm’s portfolios.\nJob responsibilities\nArchitects and implements complex, scalable engineering frameworks and solutions using modern software design principles\nDevelops secure, high-quality production code for data-intensive applications and platforms, and reviews and mentors other engineers\nCreates durable, reusable software frameworks and patterns that are leveraged across teams and functions\nDesigns and governs agentic AI systems, including multi-agent workflows, tool-use integrations, and human-in-the-loop controls appropriate for regulated financial services environments\nEstablishes engineering standards for LLM-based applications - RAG pipelines, embedding workflows, vector store integrations, and model serving - ensuring safety, observability, and reproducibility at scale\nDrives adoption of advanced technical methods and practices aligned with the latest industry standards and product development methodologies\nServes as the function's go-to subject matter expert in one or more areas of focus within data engineering, platform architecture, or AI systems\nAdvises cross-functional teams on technological matters within your domain of expertise\nInfluences leaders and senior stakeholders across business, product, and technology teams on technical strategy and direction\nArchitects and governs agentic AI-enabled engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams.\n\nApplies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation at scale.\n\nRequired qualifications, capabilities, and skills\nFormal training or certification on software engineering concepts and 7+ years applied experience\n Hands-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 executivesExperience in Computer Science, Computer Engineering, Mathematics, or a related technical field\n\nDemonstrated experience designing and leading adoption of agentic AI-enabled development practices (using enterprise-authorized tools within the work environment) across teams, including setting standards for human-in-the-loop validation, auditability/traceability of changes, and secure handling of sensitive data.\n\nStrong understanding of responsible AI use and control expectations in engineering workflows, including security/resiliency implications, data sensitivity, and risk-based governance; ability to influence senior technical leaders on safe scaling patterns and reuse.\n\nPreferred qualifications, capabilities, and skills\nExperience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI)\nFamiliarity with AI evaluation and observability practices: evals frameworks, red-teaming, prompt drift detection, and cost/latency monitoring for LLM workloads\nUnderstanding of agentic design patterns and how to constrain agent autonomy in high-stakes financial workflows\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\nAwareness of AI risk and regulatory considerations relevant to AI use in financial decision-making","description_format":"text","description_chars":5218,"description_truncated":false,"requirements":{"experience_years_min":7,"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":["Commercial & Retail Banks","Wealth Management & Financial Advisors","Asset Management & Funds","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-09-15T01:59:36Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 3,429 · green card filings: 933","filings_12m":3429,"filings_prev_12m":3601,"green_card_filings_12m":933,"median_offered_wage_usd":160366,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":1686}],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.245,"p_room":0.28,"age_days":89,"expected_fill_days":8,"reasons":["conf:0","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/jpmorganchase-principal-software-engineer","json_url":"https://alion.io/job/jpmorganchase-principal-software-engineer.json","meta":{"generated_at":"2026-10-18T09:55:23Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":14656,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":257},"rest":"https://alion.io/mcp/rest/get_company?id=257"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fjpmorganchase-principal-software-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fjpmorganchase-principal-software-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fjpmorganchase-principal-software-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/jpmorganchase-principal-software-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fjpmorganchase-principal-software-engineer"}]}