Summary: Seeking an experienced contractor with extensive expertise in scripting, server configuration, and infrastructure management to support and optimize the Department WIC data system and associated applications. This role involves daily technical support, troubleshooting, and enhancing system performance through strategic recommendations.

Responsibilities:

• Conduct daily development and technical support for the Department WIC data system and interfaces, including EBT system and other applications.
• Troubleshoot and provide solutions for daily processing and development issues.
• Maintain and submit documentation on system performance, including maintenance and process corrections.
• Identify and recommend operational efficiencies to enhance system performance.
• Conduct evaluations of new software or hardware and recommend technologies to support business processes.
• Analyze and document technical requirements for system fixes, modifications, and enhancements.
• Produce work plans for implementing infrastructure requirements for system platform improvements.
• Create scripts for system fixes, modifications, enhancements, interfaces, and integration processes.
• Conduct and document testing results for system modifications and enhancements.
• Produce documentation for system modifications and enhancements as required.

Qualifications:

• Minimum of ten years in scripting and infrastructure management using PowerShell, SQL, Python, and MS batch scripts.
• Ten years of experience in configuring Windows server installations and applying security best practices.
• Five years of experience with Infrastructure-as-Code (IAC) using platforms such as Kubernetes, Helm, and Ansible.
• Five years with Microsoft SCCM or Intune and management of end-user workstations.
• Five years supporting Linux/BSD server installations.
• Five years of experience with Active Directory and group policies.
• Five years of experience supporting business applications in cloud-native architectures.
• Understanding of network protocols, topologies, VLANs, subnets, and route tables.
• Exceptional logical troubleshooting skills and self-motivation, evidenced by career achievements or advancements.

Ll:#Onsite 

The Team

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems.

The Fleet Management team provides the core runtime environment that empowers our developers to build and ship products to delight our customers. We manage the end-to-end lifecycle of our Kubernetes fleet, alongside the critical components that ensure cluster reliability and security (e.g., CoreDNS, cert-manager, and Gatekeeper). As our infrastructure scales to support new use cases and products, we are spearheading a migration from Terraform-based Infrastructure as Code (IaC) to an Operator-driven lifecycle management model.

This role can be based out of our Austin, Boston, Los Angeles, New York City, Raleigh, or San Francisco offices, remotely in the United States region, or our European office in Dublin.

Responsibilities

• Contribute to developing and maintaining a scalable and secure runtime environment on top of Kubernetes that supports product needs across MongoDB
• Provide internal support for our Kubernetes ecosystem, partnering with engineering teams to help them solve domain-specific problems
• Participate in a 24/7 on-call rotation to resolve critical issues
• Prioritize blameless post-mortems and dedicate engineering time to systemic fixes, ensuring you aren’t paged for the same issue twice

You may be a good fit if you

• Have 6+ years of experience in software development and operating distributed systems
• Are proficient in Go, Python, or a similar language, with a strong commitment to code quality and testing practices (writing unit, integration, and E2E tests)
• Have deep experience using and extending containerization technologies, preferably Kubernetes
• Have a solid understanding of Linux operating system internals and networking concepts (e.g., filesystems, TCP/IP, DNS, TLS)
• Possess a customer focused mindset, treating internal developers as your primary users
• Have strong operational ownership, including a track record of debugging complex production issues and driving them to resolution
• Prefer automation over manual processes ("allergic to ops work")
• We are a small team of software engineers with a strong bias toward building software solutions to eliminate toil

Strong candidates may also have experience with

• Designing and implementing secure, multi-tenant runtime environments from first principles
• Proficiency with Kubernetes ecosystem tools such as Helm, Kustomize, Gatekeeper, Kyverno, and CRDs/Operators, CRI, CSI
• Expertise in cloud infrastructure platforms, including AWS, GCP, or Azure
• Proficiency in provisioning infrastructure using tools like Terraform, Crossplane, and AWS Controllers for Kubernetes (ACK)
• Advanced Linux systems internals and networking concepts specifically relevant to containers, such as namespaces and cgroups

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 426182

The Team

This role can sit in our NYC HQ on a hybrid basis, or it can be fully remote while working from a location based in either Eastern or Central time zones. We are looking for an experienced Senior Engineer for our SRE, Atlas team to support, maintain and grow the Atlas platform. As a senior SRE, you will be expected to be able to design & build complex systems, operate with autonomy and act as owner for everything you do. 

The SRE Atlas team works alongside the various Atlas software engineering teams to provide expertise about running systems at scale, build new tooling and automation and perform essential maintenance of the Atlas fleet. 

This is an SRE team, which means you can expect a highly hands-on approach, tackling the technical challenges of implementing large scale solutions that have the ability to impact our customer’s most crucial workloads. 

Role Overview

We are seeking a talented Site Reliability Engineer (SRE) with a strong infrastructure background. This role requires engineers to have a customer-first mindset to ensure that everything we do results in a stronger product and a better experience for all Atlas customers. 

The ideal candidate should

• Have 5+ years of experience running critical systems at scale
• Value efficiency in processes and operations, and display a preference for automation over manual processes (“allergic to ops work”)
• Be familiar with a major cloud provider (AWS, Azure, or GCP) and possess the ability to build and operate systems in a multi-cloud environment
• A strong understanding of how to run a large scale Linux environment, including low level fundamentals 
• Firm grasp of at least one modern programming language, beyond basic scripting (Go, Ruby, Python)
• Solid understanding of web and network protocols and standards (HTTP, TLS, DNS, etc)

Special Requirements:

• Be a US Citizen

Expectations

• Participate in the development of a reliable and resilient multi-cloud platform that hosts business critical applications for a wide & varied range of customer applications
• Collaborate with service-owning teams to provide internal support, solve technical challenges and adapt or build tooling to solve novel use cases in a generic fashion
• Participate in a 24/7 on-call rotation to swiftly resolve issues related to any disruption of our customer facing Atlas fleet, ensuring minimal disruption and high availability

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 426187

MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently.

You will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll join a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture.

This role can be based out of our Boston, New York City, Raleigh, Miami, Pittsburgh or remotely in the United States while physically based in an Eastern or Central time zone location. 

The ideal candidate should

• Have 6+ years of experience working on software development and operating distributed systems
• Proficiency in Python, Go, or a similar language
• Have operated or supported stateful storage or database systems at scale, and are comfortable with durability, consistency, and recovery trade-offs.
• Possess a customer-focused mindset
• Value efficiency in processes and operations
• Prefer automation over manual processes. We are a small team of software engineers with a strong bias towards software solutions to avoid toil
• Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market
• Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure
• Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing)

Responsibilities 

• Work on our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs
• Build for reliability, making services and infrastructure available, resilient, fault-tolerant, and self-healing
• Identify and configure key metrics to detect incidents and quantify service health, availability, and performance
• Participate in a 24/7 on-call rotation to resolve issues involving the storage infrastructure
• Become an expert in infrastructure performance, helping us optimize from the application level all the way to the kernel

Strong candidates may also have experience with:

• Leading major architectural shifts, such as moving from legacy storage stacks to new multi-tenant storage architectures, including planning and executing large-scale data and workload migrations with tight availability and durability requirements
• Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure)
• Designing secure, multi-tenant runtime environments at scale

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 1273396252

The Cloud Support Administrator (Odoo) serves as the primary administrator of our Odoo-based self-service portal and billing system while providing hands-on cloud support to customers. This role combines Odoo platform administration, direct customer engagement, and cloud resource troubleshooting to ensure customer satisfaction and minimize escalations to the backend engineering team. The ideal candidate has experience administering Odoo systems and a strong understanding of cloud environments to serve as the first point of resolution for incoming customer tickets.

Key Responsibilities

• Administer and maintain the Odoo-based self-service portal and billing system, including account configuration, subscription management, billing adjustments, and system performance monitoring.
• Manage Odoo workflows such as invoicing, subscription lifecycle, customer onboarding, and access provisioning; identify opportunities to automate repetitive tasks.
• Perform system updates and coordinate with development teams on module enhancements and customizations.
• Respond to and resolve customer support tickets related to cloud resources, billing, and portal access, minimizing escalations.
• Provision and troubleshoot cloud resources, including virtual machines, storage, and clusters; assist customers with configuration, connectivity, and performance issues.
• Document recurring issues and create structured support content for knowledge base publication.
• Gather customer feedback and usage trends to identify improvements in portal functionality, billing workflows, and cloud services.
• Collaborate with backend engineering on escalations, providing detailed diagnostics and reproduction steps.

Requirements

• Experience administering Odoo ERP, including billing, subscriptions, CRM, and customer portal modules.
• Ability to configure workflows, customize views, and manage user access within Odoo.
• Strong understanding of cloud computing concepts, including virtual machines, storage, and clustering, across platforms such as AWS, GCP, Azure, or similar.
• Strong troubleshooting skills with the ability to resolve technical issues independently.
• Excellent communication and customer support skills.
• Experience documenting technical issues and creating knowledge base content.
• Familiarity with ticketing systems and CRM tools for issue tracking and escalation management.
• Ability to collaborate effectively with cross-functional technical teams.
• Willingness to stay current with Odoo updates and cloud technologies.

Preferred

• Odoo certification or equivalent hands-on expertise in customization and administration.
• Experience provisioning and managing cloud infrastructure, including virtual machines, storage, or Kubernetes clusters.
• Experience writing customer-facing technical documentation.
• Familiarity with Linux administration, networking fundamentals, and command-line troubleshooting.
• Experience with Python or XML customization within the Odoo framework.
• Background in cloud hosting or managed services environments.
• Understanding of API integrations, webhooks, or payment gateway configurations within Odoo or similar platforms.

Annual Compensation Range: 

$65,000 - $85,000 CAD base + benefits + equity (If based in Canada)

$78,000 - $95,000 USD base + benefits + equity (If based in the United States)

Note: The salary range listed for this position is a good faith estimate based on experience, qualifications, and internal compensation structure. The actual salary offered varies depending on the candidate's skill level and experience. This posting refers to an active vacancy within the organization.

The Role: 

• We are seeking candidates with quantitative research experience and intimate knowledge of systematic strategies across a broad variety of asset classes including global equities and/or ETFs, futures, currencies and options

Job Responsibilities (include, but not limited to the following)

• Support Portfolio Managers with alpha research, modelling, portfolio construction, optimization, and implementation of quantitative trading strategies
• Build and maintain tools and systems used throughout the quantitative research and portfolio management processes

• PhD or Masters degree from a top university, with a major in computer science, mathematics, statistics, physics, engineering, or quantitative finance discipline
• 2-8 years’ experience in quantitative research and/or quantitative development for systematic strategies
• Demonstrated ability to program in Python and/or C++, with a strong background in data structures and algorithms
• Working knowledge of Linux
• Strong problem-solving abilities
• Strong moral integrity and work ethic

• Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401k, fully paid parental leave, generous PTO (paid time off) that consists of:
  • twenty vacation days that are pro-rated based on the employee’s start date, at an accrual of 1.67 days per month,
  • three personal days, and
  • ten sick days.
• Perks: Employee discounts for gym memberships, wellness activities, healthy snacks, casual dress code
• Training: learning and development courses, speakers, team-building off-site
• Employee resource groups

Pay Transparency:

WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits.

To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state.  We set standard base pay ranges for all roles based on job function and level, benchmarked against similar stage organizations.  When finalizing an offer, we will take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

The Base Pay Range For This Position Is $150,000 – $200,000 USD.

At WorldQuant, we are committed to providing candidates with all necessary information in compliance with pay transparency laws.  If you believe any required details are missing from this job posting, please notify us at WQHR_US@WorldQuant.com, and we will address your concerns promptly.

#LI-JG1

Project Overview

This is a cutting-edge initiative to integrate Large Language Models (LLMs) with WorldQuant's proprietary strategy management tools. The project aims to provide AI-assisted insights, automate routine analytical tasks, and enable natural language interactions for Portfolio Managers to more efficiently analyze, maintain, and enhance their trading strategies. This involves building foundational infrastructure, developing robust data pipelines for metrics and features, and creating a secure, user-centric interface with a strong focus on protecting intellectual property.

The Role:

We are seeking a talented and motivated Full-Time Software Engineer to play a key role in the development and enhancement of this AI-driven platform. You will be responsible for designing, building, and maintaining critical components of the system, primarily focusing on the Model Context Protocol (MCP) servers that form the backbone of the platform. This includes enhancing existing MCPs, such as our proprietary command-line interface for strategy data, developing new MCPs for internal data system integration, strategy analysis, and performance metrics, and contributing to the secure and effective use of LLMs.

Key Responsibilities

• Design, develop, test, and deploy robust and scalable MCP servers and related tools in Python.
• Enhance existing MCPs, including our internal data access tools, to ensure reliable access to strategy metadata, historical PnL data, and PnL attribution by risk factors.
• Develop new MCPs, including but not limited to MCPs for direct data system integration, MCPs for strategy analytics, and MCPs for performance reporting.
• Design and implement secure prompt engineering techniques to interact with LLMs, ensuring effective information retrieval while minimizing the risk of intellectual property leakage.
• Collaborate with project managers, technical leads, and other developers to define technical specifications and integrate various data sources.
• Work on API development and integration, ensuring seamless data flow between different systems (internal knowledge management systems, simulation systems, data warehouses).
• Implement data parsing and manipulation logic for various formats (JSON, CSV).
• Contribute to the design and implementation of data pipelines for strategy metrics and features.
• Address and resolve bugs and issues in existing MCP tools and infrastructure.
• Participate in code reviews, and contribute to unit and integration testing efforts.
• Create and maintain technical documentation for developed components.
• Stay updated with emerging technologies and methodologies in AI, LLMs, prompt engineering, and financial technology.

What You’ll Bring:

Core Skills:

• Strong proficiency in Python programming.
• Proven experience in API development, integration, and consumption.
• Solid understanding of database interaction, data access patterns, and data modeling.
• Experience with data parsing and manipulation libraries and techniques (e.g., pandas, JSON, CSV).
• Understanding of or experience with prompt engineering principles for Large Language Models
• Awareness of data security and intellectual property protection considerations in the context of AI and LLM applications

Domain-Specific Knowledge (Highly Beneficial):

• Familiarity with financial data (e.g., PnL, Sharpe ratio, alpha, risk factors, AUM).
• Experience with quantitative trading systems, market data systems, or strategy management platforms (familiarity with internal data systems or command-line data tools is a significant plus).

Technical Environment Familiarity (Helpful):

• Experience working in a Linux environment.
• Understanding of Command Line Interface (CLI) tools and development.
• Familiarity with version control systems (e.g., Git).

Soft Skills

• Excellent problem-solving and analytical skills.
• Strong collaboration and communication skills, with the ability to work effectively in a team.
• High attention to detail and commitment to delivering high-quality software.
• Ability to learn quickly and adapt to new technologies and complex systems.

Education

• Bachelor's or Master's degree in Computer Science, Engineering

3Red Partners, a proprietary trading firm headquartered in Chicago, is seeking a C++ Developer to join the team. Our team has extensive, global experience in a wide variety of asset classes, risk management, and leading trading technologies. We focus our efforts on hiring extremely talented and motivated individuals to collaborate with each other and be on the forefront of leveraging technology and math to implement sophisticated trading strategies.

The C++ Developer will have the opportunity to work in one of our offices on all aspects of our high-frequency trading system. We are seeking a candidate that is searching for an opportunity to make a real impact, deliver value, and work within an experienced team.

Your impact:

• Implement, test, and deploy trading system features and tools according to business needs
• Monitor low latency trading system performance, ensure market data and research resource utilization issues are tracked, bugs are fixed and deployed appropriately
• Liaise internally with traders and developers to discuss performance optimizations, vet ideas and questions, refactor existing implementation, and monitor updates to the OS, libraries, and current internal frameworks
• Investigate improvements to the trading system; diagnose, debug, and address issues when needed

Your skills:

• A Bachelor's, Master's, or PhD degree with an emphasis in Computer Science, Engineering or a related field with more than 2 years of relevant work experience 
• Experience with coding languages, specifically, C++ (data structures) 
• Knowledge of third-party libraries (i.e. STL and Boost), linux environments, git
• Exceptional problem solving, written, and verbal communication skills

Our perks:

3Red offers a competitive compensation and benefits package. In addition to a base salary, we offer performance-based bonuses, reflecting our commitment to rewarding excellence. We also provide comprehensive health benefits, a 401k plan, commuter and wellness reimbursements, as well as several learning and development perks. Our casual dress code, weekly lunches, and team events foster a welcoming and collaborative workplace culture. At our Chicago headquarters, we enhance the workday with fully stocked pantries offering snacks and drinks, a Zen Room for relaxation, and an environment designed to support productivity and well-being.

The expected salary range for this position is $150,000 to $250,000, depending on qualifications, experience, and skills.

3Red Partners does not accept unsolicited resumes from 3rd party vendors. Any unsolicited resumes will become property of our team. 

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Fleet Support Engineer

Vehicle Development

We are seeking an experienced Fleet Support Engineer to ensure the reliability, performance, and operational readiness of our vehicle fleet. This role sits at the intersection of hardware, software, and operations, requiring strong technical expertise in sensor systems and a hands-on approach to diagnosing and resolving field issues. The ideal candidate thrives in fast-paced environments, works effectively across teams, and takes ownership of complex technical challenges from investigation through resolution.

What You’ll Do

• Act as the escalation lead for sensor and perception-related issues impacting fleet operations.
• Analyze vehicle logs and system data to isolate faults, determine root causes, and drive corrective actions.
• Create and continuously refine technical documentation and troubleshooting procedures for field technicians.
• Support integration and validation of new sensor hardware, including LiDAR, radar, and camera systems.
• Establish repeatable diagnostic workflows to improve efficiency in identifying calibration, communication, and data quality issues.
• Review historical vehicle and fleet-level datasets to detect recurring problems and performance trends.
• Partner with hardware, software, and systems engineering teams to strengthen monitoring tools and diagnostic visibility.
• Implement fleet-wide corrective measures and verify their effectiveness through structured validation metrics.
• Identify and define critical data signals needed to measure system health and confirm issue resolution.
• Contribute to ongoing improvements in vehicle reliability and operational uptime.
• Provide occasional after-hours support when necessary (advance notice provided).
• Travel periodically within the U.S. to assist at operational locations.

What You Bring

• 6+ years of experience in transportation, aerospace, robotics, electric vehicles, or autonomous systems, with significant exposure to perception hardware.
• Bachelor’s degree in Electrical Engineering, Computer Engineering, or a related technical discipline.
• Hands-on experience troubleshooting low- and high-voltage systems safely.
• Familiarity with Unified Diagnostic Services (UDS) and vehicle communication frameworks.
• Strong understanding of system architecture, including hardware/software integration and network communications.
• Ability to interpret schematics, wiring diagrams, and connector pinouts.
• Systems-level thinking with the capability to decompose complex vehicle behavior into component-level issues.
• Proactive, collaborative mindset with strong cross-functional communication skills.
• Ability to successfully complete a background screening.

Nice to Have

• Experience supporting electric vehicle platforms.
• Background in remote vehicle diagnostics and field support.
• Proficiency with Linux environments and Python for log parsing or fleet-scale data analysis.
• Experience developing or maintaining software that interfaces directly with hardware.
• Knowledge of networking fundamentals, including TCP/IP and socket-level communication.
• Familiarity with industry-standard vehicle diagnostic tools.

Salary Range: $100,000-125,000

The actual salary offered is dependent on various factors including, but not limited to, location, the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience 

About the Role

As a Trading Operations Engineer at Da Vinci, you’ll work closely with a team of skilled traders, researchers and software engineers. You’ll be responsible for managing our trading systems, making sure they run smoothly in day-to-day operations, with future growth in mind.

As our trading systems are highly customized, balancing stability with ongoing change is one of the key challenges in this job. Our engineers often need to learn on the go, so we are looking for people who enjoy exploring unfamiliar territory.

Da Vinci offers an exciting and dynamic work environment, where employees are given the freedom to come up with great ideas and the space to push these to completion. This is a unique opportunity to be part of a growing and successful company, and to play a key role in achieving our ambitious goals for our new Miami office.

Responsibilities:

• Oversee system performance, stability and uptime
• Automate the environment and test new technology fads
• Architect, implement, maintain and monitor our rapidly growing US production environment
• Manage applications in production, and monitor their behavior
• Address potential failures and bottlenecks to proactively prevent obstacles

Requirements:

• Experience managing mission-critical infrastructure and software support (in a trading environment is a plus)
• Intimate knowledge of networking, hardware and OSs (Windows, Linux)
• Familiar with tooling and best practices regarding change, life cycle and incident management, as well as health and performance monitoring of production systems
• Proficient with scripting (e.g., bash, python)
• Quick at analyzing issues and uncovering their root causes
• Eager to learn and understand all aspects of the trading environment
• Ability to spot inefficiencies and proactive in optimizing systems
• Strong communications skills, including the ability to effectively communicate technical information to a non-technical audience

Benefits:

• An opportunity to work beside the best in the field
• Competitive base salary based on experience
• Excellent variable pay based on performance
• Outstanding performance is also rewarded with shareholding in the company
• Relocation package when moving across states
• Training period in Amsterdam to get to know the team
• Comprehensive benefits package including medical, dental, and vision insurance
• Meals during work hours
• Social events and after-work drinks

We are piloting an AI tool that screens applications based on how candidates’ skills and experience align with job requirements. Human recruiters review all applications and will always make all final hiring decisions. If you have any questions, please contact us at recruitment@davincitrading.com.

About the Role

As a Trading Systems Engineer at Da Vinci, you’ll work closely with a team of skilled traders, researchers and software engineers. You’ll be responsible for managing our trading systems, making sure they run smoothly in day-to-day operations, with future growth in mind.

As our trading systems are highly customized, balancing stability with ongoing change is one of the key challenges in this job. Our engineers often need to learn on the go, so we are looking for people who enjoy exploring unfamiliar territory.

Da Vinci offers an exciting and dynamic work environment, where employees are given the freedom to come up with great ideas and the space to push these to completion. This is a unique opportunity to be part of a growing and successful company, and to play a key role in achieving our ambitious goals for our new Miami office.

Responsibilities:

• Oversee system performance, stability and uptime
• Automate the environment and test new technology fads
• Architect, implement, maintain and monitor our rapidly growing US production environment
• Manage applications in production, and monitor their behavior
• Address potential failures and bottlenecks to proactively prevent obstacles

Requirements:

• Experience managing mission-critical infrastructure and software support (in a trading environment is a plus)
• Intimate knowledge of networking, hardware and OSs (Windows, Linux)
• Familiar with tooling and best practices regarding change, life cycle and incident management, as well as health and performance monitoring of production systems
• Proficient with scripting (e.g., bash, python)
• Quick at analyzing issues and uncovering their root causes
• Eager to learn and understand all aspects of the trading environment
• Ability to spot inefficiencies and proactive in optimizing systems
• Strong communications skills, including the ability to effectively communicate technical information to a non-technical audience

Benefits:

• An opportunity to work beside the best in the field
• Competitive base salary based on experience
• Excellent variable pay based on performance
• Outstanding performance is also rewarded with shareholding in the company
• Relocation package when moving across states
• Training period in Amsterdam to get to know the team
• Comprehensive benefits package including medical, dental, and vision insurance
• Meals during work hours
• Social events and after-work drinks

We are piloting an AI tool that screens applications based on how candidates’ skills and experience align with job requirements. Human recruiters review all applications and will always make all final hiring decisions. If you have any questions, please contact us at recruitment@davincitrading.com.

Rumble is seeking a Senior Infrastructure Engineer (CDN) who will be a pivotal member of the team that builds and maintains the infrastructure that is at the core of the Rumble platform. Candidates applying for this position should be very experienced and highly skilled network infrastructure engineers who are excited about the opportunity of building and supporting a fast growing, fault tolerant and high capacity platform.  A person who would be a successful candidate for this position loves challenges and problem solving, and has spent their career working on mission critical infrastructure.  This role requires someone who is motivated and can work both independently and as part of a team.

What you will do:

• Have a key role in designing and supporting Rumble’s Content Distribution Network and DNS infrastructure
• Building out fault tolerant infrastructure at a sometimes fast and relentless pace
• Improve performance and stability by optimizing routing, network performance, enhancing caching, load balancing and capacity planning
• Documenting improvements and exchanging ideas with other members of the team
• Participation in an on-call rotation, responding to and resolving incidents while communicating status to other members of the team
• Occasional travel as needed

Required Qualifications:

• 8+ years of relevant network experience
• Strong understanding of IP networking, TCP/IP, HTTP/HTTPS, and caching mechanisms to handle traffic routing and content distribution efficiently
• In depth knowledge of DNS architecture, including hierarchy, name resolution processes and record types (A, AAAA, CNAME, MX, etc.)
• Previous experience managing a robust DNS deployment
• Proficiency in programming languages such as Python, Bash or Perl for automating server configurations, deployments and maintenance
• Solid experience with linux systems and using them in a production environment
• Expert troubleshooting experience — you’re calm under pressure and can dissect and resolve the toughest infrastructure issues.
• Ability to create and maintain high quality network documentation
• Effective communicator (both verbal and written) who can clearly present information or ideas within a team
• Willingness to learn, be challenged and have fun in a dynamic and fast paced environment

Preferred Qualifications:

• Experience with DNSSEC and securing against common spoofing or poisoning attacks
• Knowledge of anycast, and DDoS mitigation strategies
• Capacity planning and experience handling large-scale queries
• Experience with BGP and open source routing daemons on linux (BIRD, FRR)
• Familiarity with openSUSE, Gentoo, Arch a plus

Desired Qualifications:

• Past experience with network monitoring tools
• Experience with network operating systems (Juniper, Arista, Cisco, etc.)
• Comfortable with using open source tools for solutions

Annual Compensation Range:

$150,000-$195,000 USD base + benefits + equity (If based in the United States)

$123,000-$142,000 CAD base + benefits + equity (If based in Canada)

Note: The salary range listed for this position is a good faith estimate based on experience, qualifications, and internal compensation structure. The actual salary offered varies depending on the candidate's skill level and experience. This posting refers to an active vacancy within the organization.

About the Role:

Rumble Cloud is seeking a Kubernetes Engineer to support our team in rolling out and operating our next-generation Kubernetes platform. This role will focus on our new CAPI/CAPO-based Kubernetes solution, which is designed to be compatible with our existing OpenStack Magnum API and will be deployed across our public cloud. You will help run the day-to-day operations of the Kubernetes service, assist with migrations and onboarding from our current Magnum-based offering, and act as an escalation point for complex customer issues that go beyond front-line support. This is a hands-on engineering role for someone who enjoys debugging difficult problems, improving reliability, and working closely with both platform engineers and customer-facing teams.

Key Responsibilities:

• Operate and maintain Rumble Cloud’s Kubernetes platform, including our new CAPI/CAPO-based installation and its integration with the OpenStack Magnum API.
• Assist in the rollout, migration, and upgrade processes as customers transition from the existing Magnum-based solution to the new platform.
• Serve as an escalation point for customer support, troubleshooting complex Kubernetes and cluster lifecycle issues.
• Monitor the health, performance, and capacity of Kubernetes clusters and underlying infrastructure; assist in incident response and root cause analysis.
• Implement and maintain day-2 operations processes, including backup/restore, scaling, patching, and cluster upgrades.
• Collaborate with the Kubernetes Architect to implement standards, best practices, and reference patterns for cluster configuration and operations.
• Help manage and integrate container registries, identity, networking, and storage components required for the Kubernetes platform.
• Automate repetitive operational tasks using scripting and infrastructure-as-code tools.
• Contribute to and maintain runbooks, documentation, and knowledge base articles for both internal teams and customer-facing support.
• Provide feedback from operations and customer interactions to influence platform improvements and product roadmap.

Required Skills & Experience:

• Extensive experience in Linux systems engineering, cloud engineering, or platform/SRE roles, including hands-on work with Kubernetes in production environments.
• Practical experience with installing, operating, and troubleshooting Kubernetes in production environments.
• Experience working with Kubernetes on OpenStack or other cloud providers.
• Familiarity with Cluster API (CAPI) and/or Cluster API Provider OpenStack (CAPO), or strong willingness to ramp up quickly.
• Strong understanding of Linux, containers, and container runtimes (e.g., Docker, containerd).
• Experience with Kubernetes networking, storage, and ingress concepts (CNI, CSI, load balancers, ingress controllers).
• Hands-on experience with scripting and automation (e.g., Bash, Python, or Go) for operational tasks.
• Familiarity with configuration management and IaC tools such as Ansible and Terraform.
• Experience with monitoring and logging in Kubernetes environments (e.g., Prometheus, Grafana, ELK/Graylog, or similar).
• Strong troubleshooting skills, clear written documentation, and effective communication with both technical and non-technical stakeholders.

Nice to Have (Preferred Skills):

• Experience with OpenStack Magnum and its Kubernetes integrations.
• Experience operating Kubernetes on other public cloud platforms (EKS, AKS, GKE).
• Knowledge of Ceph, S3-compatible storage, and their use with Kubernetes.
• Understanding of application architectures on Kubernetes, including microservices and 12-factor applications.
• Exposure to CI/CD toolchains (e.g., Git, GitLab/Jenkins, Artifactory, etc.) for containerized workloads.
• Experience with security hardening and best practices for Kubernetes (RBAC, PodSecurity, network policies, image scanning).

Qualifications:

• Demonstrated experience operating production Kubernetes clusters and working as part of a cross-functional cloud/platform team.
• Ability to work effectively under pressure, handle escalations, and maintain a strong customer-focused mindset.
• Passion for continuous learning in Kubernetes, cloud-native tooling, and automation.

Annual Compensation Range: 

Note: The salary range listed for this position is a good faith estimate based on experience, qualifications, and internal compensation structure. The actual salary offered varies depending on the candidate's skill level and experience. This posting refers to an active vacancy within the organization.

Rumble is seeking an experienced Infrastructure Engineer (Data Center) responsible for the operation, maintenance, and optimization of critical data center infrastructure.

As a key member of the Data Center Services Team, you will:

• Build, configure, and deploy physical and virtual servers for various applications.
• Perform ongoing maintenance, upgrades, and health checks on servers.
• Develop and run scripts for automation of administrative and configuration management tasks (Ansible, Terraform).
• Perform OS and security patching and upgrades.
• Diagnose and resolve system issues efficiently and effectively.
• Monitor infrastructure-related tickets and respond within established SLAs.
• Create and maintain clear technical documentation, processes, and procedures.
• Travel to data center locations as required to support operations.

Required Qualifications

• 3+ years of experience working with and building virtual machine–based solutions.
• 3+ years of experience building container-based solutions.
• 3+ years of hands-on Linux administration experience (RHEL, Ubuntu, Rocky), including enterprise server administration (hardware and OS).
• Ability to work independently as well as collaboratively on a high-performing team.
• Strong communication skills and proficiency in documentation.
• Ability to think creatively and propose non-traditional or innovative solutions. And has the capacity to implement in a timely manner.

Preferred Qualifications

• Familiarity with security and compliance
• Experience with Proxmox or similar open-source virtual machine environments and containers.
• Working knowledge of installation and basic administration of open-source databases.
• Networking experience (load balancing, firewalls, DNS).
• Strong awareness of security and compliance best practices.
• Python and Bash scripting experience.
• Familiarity with Disaster Recovery / Business Continuity (DR/BC) processes.

Desired Qualifications

• Linux certification, CompTIA A+, or equivalent technical experience.
• Experience with one or more programming languages.

Annual Compensation Range: 

$107,000 - $134,000 USD base + benefits + equity (If based in the United States)

$84,000 - $106,000 CAD base + benefits + equity (If based in Canada)

Note: The salary range listed for this position is a good faith estimate based on experience, qualifications, and internal compensation structure. The actual salary offered varies depending on the candidate's skill level and experience. This posting refers to an active vacancy within the organization.

About Us

Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.

Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.

Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page https://international.nubank.com.br/careers/  

About the Role

The Systems Performance team is part of the Computing Squad consists of two distinct workstreams —Orchestration and System Performance —each with its own approach and challenges on managing and improving the foundational infrastructure where the majority of the Nubank's workloads runs. 

The Performance team is focused on building deep diagnostic tools and performing high-level analysis to reduce latency,  infrastructure costs and increase services efficiency.

You will be responsible for leading complex performance investigations, identifying systemic bottlenecks, and driving efficiency across one of the largest JVM-based microservice architectures in the world.

Our core principles and behaviors include ownership, simplicity, veracity-first, teamwork, and a focus on quality over quantity. During a normal work day, you will interact with critical infrastructure layers, from the Linux Kernel and JVM internals to cloud-wide orchestration.

You'll be responsible for

• Leading Deep-Dive Investigations: Conduct high-level performance analysis to identify and resolve systemic bottlenecks across our global JVM-based microservices architecture.
• Optimizing Resource Efficiency: Drive initiatives to reduce infrastructure costs and latency by fine-tuning JVM parameters, Garbage Collection (ZGC, G1), and memory management (heap and off-heap).
• Building Diagnostic Tooling: Develop and implement advanced observability tools using eBPF, JFR, and Flamegraphs to provide real-time insights into kernel and runtime behavior.
• Kernel & Runtime Alignment: Bridge the gap between the Linux Kernel and the JVM, optimizing thread scheduling (CFS/EEVDF) and managing resource isolation (cgroups/throttling) within our Kubernetes environment.
• Architecting Scalable Solutions: Design and deliver innovative infrastructure improvements that address long-term performance challenges, ensuring our systems scale ahead of demand.
• Technical Mentorship & Culture: Share expertise on JVM internals and performance best practices with the wider Engineering team, fostering a culture of technical excellence and "quality over quantity."
• Root Cause Excellence: Deep dive into complex concurrency issues, lock contentions, and memory leaks, providing definitive fixes for high-impact technical debt.
• Strategic Collaboration: Work closely with the Computing Squad to align orchestration strategies with system performance goals, ensuring a seamless interface between infrastructure and workloads.

We are looking for a person who has

• Expertise in JVM Internals: Deep, low-level knowledge of the JVM is essential. You must understand how the JVM works "under the hood," including JIT compilation (C1/C2), class loading, and intrinsic methods.
• JVM Tuning & Garbage Collection: Extensive experience with GC algorithms (ZGC, G1, Shenandoah), including the ability to tune them for massive heaps and ultra-low latency requirements.
• OpenJDK Contribution (Major Plus): Previous experience contributing to the OpenJDK project or other low-level runtime environments is a significant advantage.
• Linux Kernel & Scheduling: Deep understanding of the Linux Scheduler (CFS/EEVDF), thread scheduling, and how the kernel manages high-concurrency Java workloads.
• Memory Architecture: Mastery of heap and off-heap memory management, including Direct Buffers, memory-mapped files, and diagnosing complex memory leaks.
• Advanced Diagnostics: Mastery of diagnostic tools such as Flamegraphs, JFR (Java Flight Recorder), eBPF, and performing large-scale heap dump analysis.
• Resource Isolation: Extensive experience with cgroups and the impact of CPU Throttling on JVM quotas within Kubernetes/EKS.
• Concurrency: Proven ability to diagnose and resolve complex concurrency problems, including lock contention and race conditions at the instruction level.
• Cloud Platforms: Knowledge of AWS infrastructure and its performance characteristics.
• Develops and delivers innovative solutions that address team-level or project-level challenges, focusing on medium and long-term impact
• Understand the technical aspects, capabilities, and limitations of our systems, contributing to discussions and improvements. 
• Anticipate technical and product issues, making appropriate design decisions to avoid them
• Is enthusiastic about sharing knowledge and mentoring others.
• Deep dive into a problem to identify root causes when prioritized.

 Benefits

• Opportunity of earning equity at Nu
• Medical Insurance
• Dental and Vision Insurance
• Life Insurance and AD&D
• Extended maternity and paternity leaves 
• Nucleo - Our learning platform of courses
• NuLanguage - Our language learning program
• NuCare - Our mental health and wellness assistance program
• Extended maternity and paternity leaves 
• 401K
• Saving Plans - Health Saving Account and Flexible Spending Account
• Work-from-home Allowance
• Relocation Assistance Package, if applicable.

Location for this opportunity (City, Country)

• Palo Alto, United States
• Miami, United States
• Washington DC, United States
• Durham, United States

Work Model for this Role

Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/