Director, Cloud Engineering

Fidelity; United States; On-site; USD 220,000 - 260,000; Full time

Job summary

Fidelity seeks an exceptional Director of Cloud Engineering to lead end-to-end design and development of scalable cloud-native applications. You will set architectural direction, supervise Python/Go/Java-based solutions on AWS and Azure, and guide cross-functional teams to deliver secure, high-performance systems.

Lead cross-divisional architecture design, drive major technology initiatives, and mentor engineers.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and six (6) years of experience as a Director, Cloud Engineering designing, engineering, architecting, and optimizing Cloud platforms for ultra-low latency, high throughput, and scalability across multi-Cloud platforms (AWS and Azure) and on-prem.
• Or, alternatively, Master's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and four (4) years of experience as a Director, Cloud Engineering designing, engineering, architecting, and optimizing Cloud platforms for ultra-low latency, high throughput, and scalability across multi-Cloud platforms (AWS and Azure) and on-prem.
• Candidate must also possess: Demonstrated Expertise architecting, designing, and engineering public and private Cloud-based platforms built on Docker, Native Kubernetes, Rancher Kubernetes Services (RKS), and Amazon Elastic Kubernetes Service (EKS); assessing, reviewing, and developing new features on Kubernetes platforms by obtaining and assessing business requirements from large scale business units; and designing and executing migration strategies for applications from legacy platforms to on-premise and public Kubernetes clusters at the enterprise-level.
• Demonstrated Expertise creating Kubernetes orchestration solutions designed to automate, deploy, scale, and operate containerized micro-service applications, using Docker, Kubernetes, and Rancher; writing Kubernetes operators to automate enterprise processes using Golang; building, deploying, and performing Kubernetes Clusters and underlying infrastructure re-hydrations, using Docker, Kubernetes, and Rancher; and implementing enterprise level Kubernetes logging and observability solutions, using FluentD, Fluent Bit, Kafka, Datadog, Splunk, and ELK Elastic Search.
• Demonstrated Expertise providing Cloud platform buildouts, upgrades, and bug fixes in development, non-production, and production environments, using Golang, Python, Shell, Bash, and Jenkins; creating, updating, and deleting application load balancers, using AVI and F5 APIs; implementing self-service Kubernetes upgrades; building pipeline

Responsibilities

• Translates and incorporates business vision and strategy to architectural strategy recommendations at the functional level.

Skills

Cloud architecture

Kubernetes

Docker

Golang

Python

Java

Leadership

Education

Bachelor's degree in Computer Science/Engineering/IT

Master's degree in Computer Science/Engineering/IT

Tools

Rancher Kubernetes Services (RKS)

Amazon EKS

Docker

Kubernetes orchestration

FluentD/Fluent Bit

Datadog

Splunk

ELK Stack

AVI

F5 APIs

Job description

Job Description

Position Description

Leads and oversees the end‑to‑end design and development of scalable, resilient cloud‑based applications, providing strategic technical direction and ensuring alignment with organizational goals. Architects and directs the implementation of complex software solutions using Amazon Web Services (AWS), setting technical standards and guiding engineering teams in best practices. Oversees and reviews the development of testable, maintainable software written in Python, Java, and Go within cloud computing environments (AWS), ensuring code quality, scalability, and security across team deliverables. Directs and collaborates with systems analysts, software engineers, and cross‑functional partners to define system architecture, clarify project requirements, and evaluate performance constraints and integration needs. Develops, implements, and supervises software system testing and validation procedures, and oversees programming workflows and documentation standards to ensure compliance, accuracy, and technical integrity across all projects.

Primary Responsibilities

• Translates and incorporates business vision and strategy to architectural strategy recommendations at the functional level.
• Participates in high‑level, cross‑functional architecture design teams.
• Identifies and consults with internal and external technical resources to produce cross-company strategic designs.
• Consults on development and delivery of major technology initiatives for the business unit.
• Consults on deployment of major project deliverables.
• Consults on the documentation of major technology application.
• Oversees the technical implementation of cross‑divisional or company architectural components.
• Initiates and drives project or strategy discussions with users or external groups to resolve issues.
• Sets vision, goals, and direction of team/organization.
• Plans and leads organization‑wide initiatives.
• Provides leadership, technical supervision, and expertise to multiple teams in broad technical areas on complex organization‑wide projects.
• Advises senior management on technical strategy.
• Researches and recommends new technologies.
• Works across groups to identify opportunities for organization‑wide technology initiatives.
• Regularly provides guidance, training, and coaching to other team members for performance and career development.
• Identifies and plans for future resource needs.
• Determines technical approaches at a strategic level for the business unit.

Education and Experience

Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and six (6) years of experience as a Director, Cloud Engineering (or closely related occupation) designing, engineering, architecting, and optimizing Cloud platforms for ultra‑low latency, high throughput, and scalability across multi‑Cloud platforms (AWS and Azure) and on‑prem.

Or, alternatively, Master's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and four (4) years of experience as a Director, Cloud Engineering (or closely related occupation) designing, engineering, architecting, and optimizing Cloud platforms for ultra‑low latency, high throughput, and scalability across multi‑Cloud platforms (AWS and Azure) and on‑prem.

Skills and Knowledge

Candidate must also possess:

• Demonstrated Expertise architecting, designing, and engineering public and private Cloud‑based platforms built on Docker, Native Kubernetes, Rancher Kubernetes Services (RKS), and Amazon Elastic Kubernetes Service (EKS); assessing, reviewing, and developing new features on Kubernetes platforms by obtaining and assessing business requirements from large scale business units; and designing and executing migration strategies for applications from legacy platforms to on‑premise and public Kubernetes clusters at the enterprise‑level.
• Demonstrated Expertise creating Kubernetes orchestration solutions designed to automate, deploy, scale, and operate containerized micro‑service applications, using Docker, Kubernetes, and Rancher; writing Kubernetes operators to automate enterprise processes using Golang; building, deploying, and performing Kubernetes Clusters and underlying infrastructure re‑hydrations, using Docker, Kubernetes, and Rancher; and implementing enterprise level Kubernetes logging and observability solutions, using FluentD, Fluent Bit, Kafka, Datadog, Splunk, and ELK Elastic Search.
• Demonstrated Expertise providing Cloud platform buildouts, upgrades, and bug fixes in development, non-production, and production environments, using Golang, Python, Shell, Bash, and Jenkins; creating, updating, and deleting application load balancers, using AVI and F5 APIs; implementing self-service Kubernetes upgrades; building pipeline