Strong engineering proficiency in Node.js and Python, with the ability to design and implement scalable, maintainable backend services.
Experience building enterprise‑grade conversational and interactive UI components using REACT, vue frontend frameworks, along with hands‑on experience using front‑end testing frameworks like Jest, Cypress, or Playwright.
Hands-on experience working with NoSQL data stores such as MongoDB, DynamoDB, or ElastiCache, including data modeling and performance optimization.
Solid grounding in DevOps/SRE practices, including monitoring, alerting, incident response, reliability engineering, and building production systems with an operational mindset.
Proven experience designing and consuming RESTful APIs, using Service‑Oriented Architecture, and applying strong Object‑Oriented Programming principles.
Familiarity with OpenAPI/Swagger and structured JSON‑based service contracts, including versioning and documentation best practices.
Practical experience working within Agile development methodologies, collaborating closely with cross‑functional teams to deliver iterative value.
Exposure to major cloud platforms (AWS, GCP, Azure), including hands-on experience with cloud‑native services, deployment pipelines, and distributed architectures.
AI / GenAI Skills (Preferred)
Working knowledge of LLM concepts (prompting patterns, token limits, latency considerations)
Retrieval-Augmented Generation (RAG) fundamentals and embedding-based search concepts
Model evaluation basics (quality, safety, and regression testing) using modern evaluation frameworks and benchmark datasets
Responsible AI practices (guardrails, privacy considerations, and secure usage patterns)
Operational awareness for GenAI solutions (cost, performance, reliability, and safe usage)
Understanding of observability for LLM-based applications, including logging/metrics/tracing at the prompt and inference layers.
Education / Certifications (Helpful)
Undergraduate degree (BS, BA, etc.) or equivalent work experience
Relevant cloud, DevOps/SRE, or AI/ML certifications are a plus
The Skills You Bring
Strong desire and ability to learn new technologies and approaches
Ability to synthesize business needs into scalable technology solutions
Ability to work across organizations and drive positive outcomes
Comfort operating in a polyglot development environment
Excellent verbal and written communication skills
Ability to collaborate with data science and product teams to operationalize AI use cases
The Value You Deliver
Build and deliver scalable solutions on a scrum team benefiting multiple business units
Work across an empowered and autonomous organization to achieve the best outcomes
Contribute to a developer culture of quality and sustainability through automation
Share knowledge and provide technical guidance to peers through code reviews and design discussions
Help teams operationalize GenAI solutions with attention to reliability, safety, and repeatability
Fidelity’s Onsite Working Model
Fidelity 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.
Certifications
Category
Information Technology Please 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. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
