{"id":3145640,"url":"https://alion.io/job/campbell-global-software-engineer-iii-ml-pipelinespython-pyspark-aws","title":"Software Engineer III - ML Pipelines(Python, Pyspark , AWS)","company":{"id":2649833,"name":"Campbell Global","domain":"campbellglobal.com","url":"https://alion.io/company/campbellglobal","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":100,"open_postings":49,"ghost_share":0,"stale_share":0,"repost_share":0.102,"time_to_fill_p50_days":8,"computed_at":"2026-10-24T06:02:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Plano, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":106000,"max_usd":206000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":477},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon ECS","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"Terraform","optional":false},{"name":"Docker","optional":true},{"name":"Feature Store","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLM","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-10-22T15:48:26Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-24T09:45:03Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.\nAs a Software Engineer III at JPMorgan Chase within the Consumer and Community Banking - Risk Technology Portfolio team, you will be part of an agile team that builds and delivers trusted technology products in a secure, stable, and scalable way. You will take ownership of technical deliverables, contribute to design decisions, and work across cloud, data, and machine learning domains to solve real business problems.\nJob Responsibilities:\nDesign, build, and maintain platform components that support end-to-end ML model lifecycle - from development and training to deployment and monitoring\nDevelop and maintain data and feature pipelines that feed ML models in production\nBuild and manage cloud-based infrastructure on AWS (including Databricks, EMR, ECS, and S3) to support model training and serving workloads\nAutomate model deployment, testing, and release processes within the SDLC/MLOps toolchain\nSupport migration of legacy ML workloads to cloud-native, scalable platforms with zero downtime\nMonitor platform health and model serving infrastructure; identify and resolve performance and stability issues\nApply AI-assisted development tools and best practices to improve code quality and delivery speed\nDrives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.\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.\nCollaborate with data scientists and model developers to understand requirements and translate them into reliable platform capabilities\nContribute to a team culture of diversity, inclusion, and continuous improvement\nRequired Qualifications, Capabilities, and Skills:\nFormal training or certification in software engineering and 3+ years of applied experience\nHands-on experience building and maintaining production data or ML pipelines\nDemonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.\nStrong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices\nProficiency in Python and experience with ML libraries and frameworks (Pandas, NumPy, Scikit-learn, etc.)\nWorking knowledge of cloud platforms, particularly AWS, and cloud-native development patterns\nExperience with Big Data processing frameworks (Spark preferred)\nPractical experience with infrastructure-as-code and deployment automation (Terraform preferred)\nAbility to work independently on platform problems with moderate oversight\nPreferred Qualifications, Capabilities, and Skills:\nExperience with Databricks for model training and data pipeline development\nFamiliarity with MLOps practices - model versioning, experiment tracking, feature stores, and model monitoring\nAWS certifications (e.g., Solutions Architect Associate)\nExposure to RAG architectures or GenAI/LLM integration patterns\nKnowledge of container-based deployment (Docker, ECS, or Kubernetes)\nInterest in AI-assisted engineering tools and automation within the SDLC","description_format":"text","description_chars":3919,"description_truncated":false,"requirements":{"experience_years_min":3,"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":["Artificial Intelligence","Forest Resources","Asset Management & Funds","Land & Agriculture Property"],"lifecycle":[{"event":"open","at":"2026-10-23T10:02:07Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":1,"expected_fill_days":8,"reasons":["conf:1","win:early","comp:brand"],"computed_at":"2026-10-24T06:02:35Z"},"pay":null,"html_url":"https://alion.io/job/campbell-global-software-engineer-iii-ml-pipelinespython-pyspark-aws","json_url":"https://alion.io/job/campbell-global-software-engineer-iii-ml-pipelinespython-pyspark-aws.json","meta":{"generated_at":"2026-10-24T09:49:23Z","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":14270,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"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":2649833},"rest":"https://alion.io/mcp/rest/get_company?id=2649833"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcampbell-global-software-engineer-iii-ml-pipelinespython-pyspark-aws"},{"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%2Fcampbell-global-software-engineer-iii-ml-pipelinespython-pyspark-aws"},{"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%2Fcampbell-global-software-engineer-iii-ml-pipelinespython-pyspark-aws"},{"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/campbell-global-software-engineer-iii-ml-pipelinespython-pyspark-aws\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcampbell-global-software-engineer-iii-ml-pipelinespython-pyspark-aws"}]}