Jobs
Job Description:
Director, Cloud Engineering – FI Platform Engineering The Team:
Fidelity Institutional Technology (FIT) is seeking an ambitious, self-motivated individual who is looking for a challenging and rewarding opportunity to accelerate Cloud Adoption via common automated & innovative pipeline solutions. As a key member of the FI Platform Engineering Team, you will drive cloud solutions and modernization efforts across the technology stack, enabling innovation, stability, scalability, and engineering excellence.
The Role:
This role is ideal for a forward-thinking leader passionate about the DevOps culture, cloud-native architectures, and Generative AI. You will be responsible for leading cloud engineering initiatives via hands on development across our Open Tofu Modules, Pipelines, Onboarding API’s and Frontend UI. This role will require a high level of collaboration with architecture and application teams to deliver a resilient, secure, and scalable cloud platform. Your leadership will be instrumental in shaping the future of FIT’s infrastructure and platform capabilities.
Key Responsibilities
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Help drive the design, development, and operation of cloud deployment pipelines in AWS.
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Partner with internal squads to accelerate delivery via automated pipelines and Generative AI
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Deliver platform engineering initiatives aligned with enterprise cloud first strategy.
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Collaborate with cross-functional teams to deliver scalable and secure solutions.
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Provide technical leadership and mentorship to engineering teams.
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Champion Dev Sec Ops practices and Site Reliability Engineering (SRE) principles.
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The position will be an individual contributor role.
Qualifications Required:
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Bachelor’s degree in Computer Science or related field, or equivalent experience.
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8–10 years of software engineering experience with a focus on automation and SDLC.
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3–5 years of hands-on experience in AWS cloud development and migration.
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Proficiency in languages such as Python, NodeJS, Angular, Go Lang, and Java.
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Experience with Infrastructure as Code (Open Tofu, AWS CloudFormation).
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Strong understanding of cloud architecture and platform resiliency.
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Proven ability to communicate effectively with senior leadership.
Preferred:
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Certifications in AWS, Kubernetes, or AI technologies.
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Experience mentoring junior engineers and fostering team growth.
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Expertise in Kubernetes, AWS Native Services, and Serverless Technologies (Lambda, SQS, DynamoDB, S3, IAM).
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Familiarity with Generative AI and its integration into cloud platforms.
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Strong Dev Sec Ops background with secure CI/CD pipeline implementation.
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Experience with observability tools (Data Dog, Splunk, Prometheus, Grafana).
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Hands-on experience with Jenkins Core, Artifactory, and Runtime Monitoring.
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Database experience with DynamoDB, PostgreSQL, and Oracle.
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Solid foundation in Linux system administration, networking, and load balancing.
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Strong problem-solving skills across systems, networks, and applications.
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Excellent interpersonal and communication skills with a collaborative mindset.
Certifications:
Category:
Information Technology:
Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles.
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.
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About Fidelity

Fidelity
BootstrappedFidelity Land Development specializes in land acquisition, development, management, maintenance and leasing services.
1-50
Employees
Chatham
Headquarters
Reviews
3.5
4 reviews
Work Life Balance
2.0
Compensation
2.5
Culture
1.8
Career
2.5
Management
1.5
15%
Recommend to a Friend
Pros
Benefits continuation during leave
Structured career path
Certification support
Cons
Poor management practices
Inadequate communication
Heavy micromanagement
Salary Ranges
40 data points
Junior/L3
Mid/L4
Senior/L5
Director
Junior/L3 · AM Quantitative Research Analyst
1 reports
$72,741
total / year
Base
$63,211
Stock
-
Bonus
-
$72,741
$72,741
Interview Experience
6 interviews
Difficulty
3.2
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 67%
Negative 33%
Interview Process
1
Phone Interview
2
Video Interview
3
Offer
4
Background Check
5
Fingerprinting
6
Drug Test
Common Questions
Customer service scenarios
Financial services knowledge
Behavioral questions
Technical cybersecurity concepts
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