Principal Rust Engineer Job at Fidelity Investments (Jersey City)

Principal Security Engineer

We’re building a world-class global Security team as part of our Trust Program. ...

Location

India , Hyderabad

Salary:

Not provided

Highspot

Expiration Date

Until further notice

Requirements

10+ years of robust, progressive experience in security engineering, application security, DevSecOps, incident detection and response, or closely related fields
Advanced proficiency in at least one programming language (Python, Ruby, Go, Rust, JavaScript), with deep experience conducting detailed code reviews and security assessments across multiple languages
Hands-on experience with deploying, operating, and interpreting results from security tools such as static analyzers, web vulnerability scanners, supply chain analysis scanners, and host-based intrusion detection systems
Demonstrated experience mentoring, coaching and guiding junior and mid-level security engineers, contributing to a strong team culture, and supporting peer development as a senior individual contributor
Demonstrated proactive approach, strong continuous learning orientation, and curiosity about emerging threats, security trends, and innovative technologies
Extensive expertise securing cloud-native environments (AWS, Azure, GCP, containers, microservices), with in-depth knowledge of modern cloud security risks and defenses
Demonstrated ability to embrace being wrong, practice humility, continuously learn from experiences, and actively seek insights through thoughtful questioning and collaboration

Job Responsibility

Lead comprehensive application security assessments, advanced threat modeling sessions, and secure code reviews across critical product features, internal tooling, endpoints, and third-party integrations
Collaborate strategically with product engineering to establish and enhance secure-by-default and privacy-by-design practices within the software development lifecycle (SDLC)
Lead and otherwise participate in incident detection, investigation, triage, containment, and root cause analysis for high impact security incidents, providing mentorship and guidance to junior engineers as required
Drive the development and continuous improvement of sophisticated detection rules, response automation, and optimized alert management across cloud environments, corporate infrastructure, and SaaS platforms
Lead and participate in complex vulnerability remediation processes, and effectively respond to security issues discovered by both internal teams and external sources
Document technical findings and strategic decisions in a clear and accessible manner, and procedural enhancements
significantly contribute to comprehensive security playbooks and knowledge repositories
Manage and oversee asksecurity@ request handling, and actively participate in sprint-based security activities, balancing strategic and tactical execution
Actively participate in the security on-call rotation, or provide senior-level guidance as required during an event and aid in rapid response capabilities to protect our 24x7 platform and global workforce

Fulltime

Senior Principal Engineer Core Data Platform

As an engineer well into your career, we know you're an expert at what you do an...

Location

United States , Seattle; San Francisco; Mountain View

Salary:

198300.00 - 318600.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field
12+ years of experience in backend software development, with a focus on distributed systems and large-scale storage solutions
8+ years of experience designing and managing highly available, large-scale storage architectures in cloud environments
5+ years of hands-on experience working with AWS storage services (S3, EBS, EFS, FSx, Glacier, DynamoDB)
Proficiency in system design, performance optimization, and cost-efficient architecture for exabyte-scale storage
Expertise in at least one major backend programming language (Kotlin, Java, Go, Rust, or Python)
Experience leading technical strategy and architectural decisions in large, multi-team engineering organizations
Strong understanding of distributed systems principles, including consistency models, replication, sharding, and consensus algorithms (Raft, Paxos)
Deep knowledge of security best practices, including encryption, access control (IAM), and compliance standards (SOC2, GDPR, HIPAA)
Experience mentoring senior engineers and driving high-impact engineering initiatives

Job Responsibility

Collaborate with partner teams and internal customers to help define technical direction and OKRs for the Core Data platform organization
Regularly tackle the largest and most complex problems on the team, from technical design to implementation and launch
Partner across engineering teams to take on company-wide initiatives spanning multiple projects
Routinely tackle complex architecture challenges and apply architectural standards and start using them on new projects
Work across senior engineering and product leaders to build strategy and design solutions to earn customers trust and business
Own key OKRs and end-to-end outcomes of critical projects in a microservices environment
Champion best practices and innovative techniques for scalability, reliability, and performance optimizations
Own engineering and operational excellence for the health of our systems and processes
Proactively drive opportunities for continuous improvements and own key operational metrics
Continually drive developer productivity initiatives to ensure that we unleash the potential of our own teams

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Principal Software Engineer, Trusted Data Platform

As a Principal Software Engineer, you will be a technical leader and hands-on co...

Location

India , Bangalore

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field
10+ years of experience in backend software development, focusing on distributed systems and storage solutions
5+ years of experience working with AWS storage services (S3, DynamoDB, EBS, EFS, FSx, Glacier)
Strong expertise in system design, architecture, and scalability for large-scale storage solutions
Proficiency in at least one major backend programming language (Kotlin, Java, Go, Rust, or Python)
Experience designing and implementing highly available, fault-tolerant, and cost-efficient storage architectures
Deep understanding of distributed systems, replication strategies, sharding, and caching
Knowledge of data security, encryption best practices, and compliance requirements (SOC2, GDPR, HIPAA)
Experience leading engineering teams, mentoring senior engineers, and driving technical roadmaps
Proficiency with observability tools, performance monitoring, and troubleshooting at scale

Job Responsibility

Designing and optimizing high-scale, distributed storage systems built on AWS storage technologies
Shaping the architecture, performance, and reliability of backend storage solutions that power critical applications at scale
Designing, implementing, and optimizing backend storage services that support high throughput, low latency, and fault tolerance
Working closely with senior engineers, architects, and cross-functional teams to drive scalability, availability, and efficiency improvements in large-scale storage solutions
Leading technical deep dives, architecture reviews, and root cause analyses to resolve complex production issues related to storage performance, consistency, and durability
Driving best practices in distributed system design, security, and cloud cost optimization
Mentoring senior engineers, contributing to technical roadmaps, and helping shape the long-term storage strategy
Collaborating with Site Reliability Engineers (SREs) to implement observability, monitoring, and disaster recovery strategies, ensuring high availability and compliance with industry standards
Advocating for automation, Infrastructure-as-Code (IaC), and DevOps best practices, leveraging tools like Terraform, AWS CloudFormation, Kubernetes (EKS), and CI/CD pipelines to enable scalable deployments and operational excellence

What we offer

Atlassians can choose where they work – whether in an office, from home, or a combination of the two
Atlassians have more control over supporting their family, personal goals, and other priorities
We can hire people in any country where we have a legal entity
Interviews and onboarding are conducted virtually
Whatever your preference - working from home, an office, or in between - you can choose the place that's best for your work and your lifestyle

Principal Software Engineer, AI Developer Tools

At Docker, we make app development easier so developers can focus on what matter...

Location

United States , Seattle

Salary:

232000.00 - 319000.00 USD / Year

Docker

Expiration Date

Until further notice

Requirements

10+ years software engineering experience with 3+ years in Staff or Principal Engineer roles
Deep expertise in AI/ML technologies with hands-on production experience building LLM-powered applications, AI agents, or AI-assisted developer tools
Strong understanding of LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, agent orchestration frameworks, and practical applications of AI in software development workflows
Proven track record of architecting and building highly scalable distributed systems and developer-facing platforms
Production experience with modern cloud-native infrastructure including Kubernetes, GitOps deployment patterns, observability systems, and CI/CD pipelines
Proficiency in Go (preferred), Rust, Java, or Python with strong software engineering fundamentals
Experience designing developer tools, platform engineering systems, or internal tools that enable other teams
Exceptional product and platform mindset considering business outcomes, developer experience, and technical trade-offs
Strong communication skills with ability to influence technical and non-technical stakeholders across the organization
Track record of technical mentorship and elevating engineering teams' capabilities

Job Responsibility

Define the long-term technical vision and architecture for AI-powered developer tools and the self-service platform that enables teams to build their own AI agents
Establish architectural patterns, technical standards, and best practices for LLM integration, AI agent development, and production AI systems serving developers
Lead technical strategy for platform capabilities including deployment frameworks (ArgoCD/GitOps), observability integration (Grafana), security controls, and operational tooling for AI developer tools
Design highly available, scalable infrastructure for hosting AI agents and developer tools with predictable performance and intelligent resource management
Drive technical decisions on AI technology choices, LLM provider strategies, prompt engineering approaches, and agent orchestration frameworks
Partner with Senior Manager and product leadership to align technical architecture with business objectives and productization opportunities
Architect and build production-ready AI agents for developer productivity including code review assistants, test generators, deployment diagnostics, and incident response automation
Design and implement the self-service platform infrastructure that reduces time-to-production for new AI tools from weeks to days
Build systems that accelerate adoption of AI-native development tools (Claude Code, Cursor, Warp) across Docker's engineering organization
Establish reliability, security, and performance standards for AI systems including SLOs, monitoring, incident response, and cost management

What we offer

Freedom & flexibility
fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
Home office setup
we want you comfortable while you work
16 weeks of paid Parental leave
Technology stipend equivalent to $100 net/month
PTO plan that encourages you to take time to do the things you enjoy
Training stipend for conferences, courses and classes
Equity

Fulltime

Principal Software Engineer

GitHub is changing the way the world builds software, and we want you to help. W...

Location

Mexico , Multiple Locations

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

9+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python
OR Associate's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 5+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python
OR Bachelor's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 4+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python
OR Master's Degree in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field AND 2+ years experience in Software Engineering, Computer Science, or related technical discipline with proven experience maintaining and delivering production software coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Go, Ruby, Rust, or Python
OR Doctorate in Computer Science, Electrical Engineering, Electronics Engineering, Math, Physics, Computer Engineering, Computer Science, or related field
OR equivalent experience
6+ years of experience working with React, TypeScript, CSS, and frontend tooling (e.g., Webpack, Vite, ESLint, Jest)
6+ years of experience building frontend applications using React-based frameworks or libraries (e.g., Next.js, Remix, TanStack Router/Query)

Job Responsibility

Contribute to the architectural design and evolution of GitHub's React platform, with a focus on performance, scalability, and developer experience
Help drive the migration of key UI surfaces from Rails server-rendered views to a modern React-based application architecture with independent deployment and rendering
Identify and resolve frontend performance bottlenecks across page load (LCP), interaction latency (INP), and layout stability (CLS)
Build platform-level primitives and patterns (state management, error handling, data fetching, lazy loading) that enable feature teams to ship faster with fewer mistakes
Collaborate with design system, accessibility, and infrastructure teams to ensure platform changes meet cross-cutting quality standards
Contribute to architectural decision-making for the frontend platform, including rendering strategies, build tooling, and framework evolution
Produce technical proposals and design documents for cross-team initiatives
Support and mentor engineers across the organization on modern frontend architecture and performance best practices
Participate in code reviews to ensure quality, consistency, and adherence to platform patterns across a large, multi-team codebase

Fulltime

Software Engineer III, AI Developer Tools

At Docker, we make app development easier so developers can focus on what matter...

Location

United States , Seattle

Salary:

157000.00 - 222750.00 USD / Year

Docker

Expiration Date

Until further notice

Requirements

4+ years building production-grade backend systems or developer-facing tools with strong software engineering fundamentals
Hands-on production experience with AI/ML technologies including practical experience with LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, and AI agent development
Proficiency in Go (preferred), Rust, Java, or Python with strong software engineering fundamentals
Experience designing and building distributed systems, microservices, or platform infrastructure
Strong understanding of cloud-native systems (AWS, GCP, or Azure), APIs, and data stores
Solid grasp of CI/CD, automated testing, code review practices, and modern development workflows
Demonstrated ability to work independently on day-to-day work with general guidance on new projects
Product-minded approach to building developer tools with focus on user experience and measurable outcomes
Excellent communication skills in remote, asynchronous environments with ability to document technical decisions clearly
Ability to build effective working relationships across multiple teams

Job Responsibility

Build AI-Powered Developer Tools: Design, implement, and ship production-ready AI agents and tools that accelerate developer productivity such as code review and refactoring assistants, automated test generators, local environment setup tools, deployment pipeline diagnostic agents, and agents that simplify on-call tasks when handling incidents
Implement LLM Integrations: Build robust, production-grade integrations with LLM APIs (OpenAI, Anthropic, etc.) such as prompt engineering, response parsing, error handling, rate limiting, cost management, and performance optimization
Develop Agent Orchestration Systems: Create agent frameworks and orchestration systems that enable complex multi-step workflows, tool calling, context management, and agent-to-agent communication
Contribute to Platform Infrastructure: Build self-service platform capabilities that enable teams across Docker to rapidly deploy and operate their own AI developer tools such as deployment pipelines, observability integration, security controls, and operational tooling
Drive Adoption of AI-Native Development: Build tools and programs that accelerate adoption of AI developer tools such as Claude Code, Cursor, and Warp across Docker's engineering organization
Ensure Production Quality: Write well-tested code with strong test coverage (unit, integration, end-to-end)
establish monitoring, alerting, and operational excellence for AI systems
Collaborate Cross-Functionally: Partner with Principal Engineer and Senior Engineers on architecture, work with product and design teams on features and UX, and collaborate with platform teams (Infrastructure, Security, Data) on integrations
build effective partnerships across multiple teams
Act as Technical Resource: Help teammates solve problems and share knowledge through code reviews and technical discussions

What we offer

Freedom & flexibility
fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
Home office setup
we want you comfortable while you work
16 weeks of paid Parental leave
Technology stipend equivalent to $100 net/month
PTO plan that encourages you to take time to do the things you enjoy
Training stipend for conferences, courses and classes
Equity

Fulltime

Software Engineer II, AI Developer Tools

At Docker, we make app development easier so developers can focus on what matter...

Location

United States , Seattle

Salary:

128000.00 - 181500.00 USD / Year

Docker

Expiration Date

Until further notice

Requirements

2+ years building backend systems, APIs, or developer-facing tools with strong software engineering fundamentals
Proficiency in Go (preferred), Rust, Java, or Python with understanding of data structures, algorithms, and design patterns
Basic understanding of AI/ML concepts with eagerness to learn about LLM APIs, prompt engineering, and AI agent development through hands-on work
Experience with cloud platforms (AWS, GCP, or Azure) and understanding of distributed systems or microservices
Familiarity with CI/CD pipelines, automated testing, version control (Git), and modern development workflows
Strong problem-solving skills with ability to work through technical challenges with guidance from senior engineers
Good communication skills in remote, asynchronous environments with ability to document technical decisions
Collaborative mindset with eagerness to learn from code reviews and feedback
Self-motivated with ability to work autonomously while knowing when to ask for help
Passion for developer tools and user experience

Job Responsibility

Build AI Developer Tool Features: Implement features for AI-powered developer tools such as code review assistants, test generators, deployment diagnostics, and on-call assistance tools
Implement LLM Integrations: Build integrations with LLM APIs (OpenAI, Anthropic, etc.) such as prompt engineering, response handling, error management, and performance optimization
Contribute to Platform Infrastructure: Help build self-service platform capabilities such as deployment pipelines, observability integration, security controls, and operational tooling that enable teams to rapidly deploy AI developer tools
Support AI-Native Development Adoption: Contribute to tools and programs that help teams adopt AI developer tools such as Claude Code, Cursor, and Warp across Docker's engineering organization
Write Quality Code: Develop well-tested code with unit and integration tests
follow team coding standards and participate actively in code reviews to learn best practices
Maintain Production Systems: Assist with monitoring, alerting, and troubleshooting production AI systems
participate in incident response and learn operational best practices
Collaborate and Learn: Work closely with Senior Engineers and Principal Engineer on technical designs
ask questions, seek feedback, and continuously improve your skills in AI/LLM technologies and platform engineering

What we offer

Freedom & flexibility
fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
Home office setup
we want you comfortable while you work
16 weeks of paid Parental leave
Technology stipend equivalent to $100 net/month
PTO plan that encourages you to take time to do the things you enjoy
Training stipend for conferences, courses and classes
Equity

Fulltime

Principal Software Engineer, AI Cloud

At Docker, we make app development easier so developers can focus on what matter...

Location

United States , Seattle

Salary:

232000.00 - 319000.00 USD / Year

Docker

Expiration Date

Until further notice

Requirements

10+ years of software engineering experience, including 3+ years in technical leadership roles (Staff or Principal level)
Proven experience designing and building highly scalable distributed systems in production environments
Deep understanding of cloud infrastructure (AWS, Azure, GCP, or OCI), including compute, networking, and storage primitives
Proficiency in Go, Rust, or Java
Expertise in Kubernetes, microservices, and service mesh architectures
Strong foundation in observability, CI/CD, and infrastructure-as-code (Terraform, Pulumi, or CloudFormation)
Experience operating high-availability (99.99%+) production systems
Exceptional communication skills and ability to influence across technical and business domains
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience

Job Responsibility

Define and drive the long-term technical strategy for Docker AI Cloud’s control and data plane services
Architect highly available, multi-region systems capable of operating seamlessly across multiple cloud providers
Design APIs and service abstractions that integrate Docker Desktop, Hub, and enterprise cloud services
Establish standards for reliability, scalability, and observability across the Docker AI Cloud platform
Lead cross-functional technical discussions and influence architectural decisions company-wide
Design and implement distributed systems for workload orchestration, service discovery, and lifecycle management
Build and operate control plane components that manage multi-tenant workloads and cloud networking
Develop infrastructure that delivers predictable performance, intelligent scaling, and automated failover
Ensure security, data integrity, and compliance across Docker’s global infrastructure footprint
Partner with platform and product teams to deliver developer-friendly APIs and cloud experiences

What we offer

Freedom & flexibility
fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
Home office setup
we want you comfortable while you work
16 weeks of paid Parental leave
Technology stipend equivalent to $100 net/month
PTO plan that encourages you to take time to do the things you enjoy
Training stipend for conferences, courses and classes
Equity

Fulltime

Principal Rust Engineer

Fidelity Investments

Location:
United States , Jersey City ▼
Merrimack
Westlake

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
April 22, 2026

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Category:IT - Software Development

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Job Posted:April 22, 2026

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