Robust Company Like Platinum Jobs in New York City, NY

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Principal Trading Engineer (Java, Algo, SOR)

Company: Fidelity Investments

Location: Jersey City, NJ

Posted Aug 17, 2025

Set technical direction for software developers by concluding design with other tech leads and architecture. In this role, you will be an integral part of the…

Director Software Engineering

Company: Fidelity Investments

Location: New York, NY

Posted Aug 17, 2025

Bachelor level degree in Computer Science, Engineering or another technical field. Hands-on technical leader with track record of defining technical…

Director Digital Assets Software Engineer

Company: Fidelity Investments

Location: New York, NY

Posted Aug 17, 2025

Bachelor level degree in Computer Science, Engineering or another technical field. Hands-on technical leader with track record of defining technical…

Frequently Asked Questions

What are the typical salary ranges by seniority?
Junior – $90k–$120k, Mid – $120k–$160k, Senior – $160k–$210k, Lead – $210k–$250k, Principal – $250k–$300k, all including equity and bonus.
What skills and certifications are required?
Proficiency in Go, Rust, or Python; hands‑on experience with Kubernetes, Terraform, Airflow, dbt, Snowflake, BigQuery; certifications such as AWS Certified Solutions Architect, GCP Professional Data Engineer, Azure Solutions Architect, and Certified Kubernetes Administrator (CKA) are highly valued.
Is remote work available for these positions?
Most roles are fully remote or hybrid; teams operate across US, EMEA, and APAC with flexible schedules. Remote‑first culture allows developers to work from any major hub while maintaining synchronous collaboration.
What career progression paths exist?
Typical pathways include Engineer → Staff Engineer → Principal Engineer; Data Engineer → Lead Data Engineer → Head of Data Engineering; and Platform Architect → Senior Platform Architect → Chief Architect, with opportunities to transition into product or technical leadership.
What industry trends should I be aware of?
Key trends include data lake modernization, serverless data pipelines, AI/ML ops, edge computing, low‑latency streaming with Kafka and Flink, and heightened security compliance (GDPR, CCPA) within cloud‑native environments.

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