{"id":4116138,"url":"https://alion.io/job/fidelity-investments-full-stack-software-engineer-python","title":"Full Stack Software Engineer, Python","company":{"id":21095,"name":"Fidelity Investments","domain":"fidelity.com","url":"https://alion.io/company/fidelity","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":41,"ghost_share":0,"stale_share":0.049,"repost_share":0.073,"time_to_fill_p50_days":19,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Backend","role_family":"Backend","seniority":"junior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"Angular","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Git","optional":false},{"name":"JavaScript","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"TypeScript","optional":false},{"name":"Vue.js","optional":false}],"status":"live","first_seen_at":"2026-11-10T00:00:00Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-12T00:14:51Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Fidelity will not provide immigration sponsorship for this position.\nJob Description:\nThe Role\nAs a Full Stack Engineer, you’ll build and improve a workflow orchestration platform that helps teams create and manage Airflow workflows using a standardized, spec-driven approach.\nYou will develop and maintain Python-based conversion and DAG-generation capabilities, backend services, and user interfaces used to create, validate, and manage workflow definitions. Working closely with platform engineers, architects, and application teams, you will help simplify workflow migration and development by making it scalable, reliable, and easy to use.\nKey Responsibilities:\nBuild and enhance Airflow workflow definitions using Python.\nBuild reusable components, APIs, and services that support workflow automation at scale in AWS.\nPartner with platform engineering teams to integrate approved Airflow operators, templates, libraries, and deployment practices.\nDevelop tools that enable teams to create and manage Airflow workflows through a common specification model.\nDevelop validation, testing, and error-reporting capabilities to improve workflow quality and reliability.\nCreate technical documentation and guidance that enable application teams to successfully adopt the platform.\nIdentify opportunities to automate additional workflow migration and workflow development activities.\nThe Skills and Experience You Bring\n2-4 years of software engineering experience with Python development.\nExperience building applications, APIs, backend services, developer tools, or automation solutions.\nUnderstanding of object-oriented programming, software design principles, and maintainable code development.\nExperience working with REST APIs and JSON/YAML data formats.\nExperience implementing validation, error handling, logging, and automated testing.\nFront-end development experience using React, Angular, Vue, or similar frameworks.\nProficiency with JavaScript or TypeScript, HTML, and CSS.\nExperience integrating front-end applications with backend services and APIs.\nExperience with Git, code reviews, and CI/CD pipelines.\nUnderstanding of secure software development practices.\nExposure to workflow orchestration platforms, job scheduling tools, or automation frameworks.\nExperience working in cloud-based environments and modern deployment pipelines.\nStrong troubleshooting and problem-solving skills.\nExperience working in Agile development environments.\nThe Team\nThe Airflow Platform team is building Fidelity’s enterprise Apache Airflow platform, providing the foundation for running business-critical workflows reliably and at scale.We design and deliver the platform capabilities, automation, security, and operational tooling needed to support enterprise workloads. Working closely with application, infrastructure, security, and production support teams, we are focused on delivering a secure, resilient, and highly automated platform while simplifying adoption and creating a strong developer experience.\nFidelity’s Onsite Working Model\nFidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.\nCertifications:\nCategory:\nInformation TechnologyPlease be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. 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