About Us:

Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.

Overview:

DV Trading is seeking a Senior Cloud Infrastructure Engineer to lead the design, buildout, and operation of firm-wide cloud infrastructure supporting all trading desks and research platforms. This role owns core shared cloud capabilities across the firm while also providing specialized infrastructure support to the crypto desk. It requires deep expertise in cloud networking, distributed systems, and infrastructure placement, with strong engineering judgment in environments where latency, operational risk, and security posture directly impact PnL. 

Job Responsibilities:

• Firm-Wide Cloud Platform
  • Own the architecture and operation of cloud infrastructure supporting latency-sensitive trading systems across all desks.
  • Design VPC and network topologies with explicit routing, isolation, and traffic control; partner with the network team to build a robust, highly available, and latency-optimized global network, including Direct Connect to DV office locations and hybrid connectivity across cloud providers (Cloud Interconnect, VPN, Transit Gateway). 
  • Define compute placement strategies, including cluster placement groups and locality-aware scheduling.
  • Build and maintain shared platform capabilities that enable engineering teams across the firm to self-serve reliably and safely.
  • Own FinOps visibility and cost optimization frameworks across all trading and research workloads. 
  • Serve as the primary escalation point for cloud infrastructure incidents firm-wide, owning issues from detection through resolution. 
  • Define firm-wide observability standards and own the cloud layer of the monitoring and alerting stack. 
  • Mentor engineers and establish infrastructure standards that raise the engineering bar across teams.
• Cloud Migration (CME-GCP)
  • Lead infrastructure planning and execution for the migration of CME colocation workloads to GCP, maintaining continuity of latency-sensitive trading operations throughout. 
  • Design hybrid connectivity between colocation environments and GCP (Cloud Interconnect, Cloud VPN). 
  • Architect GCP VPC topology, IAM, and Organization Policy to mirror the security posture enforced on AWS. 
  • Define GCP compute strategy (Compute Engine, GKE, sole-tenant nodes) with trading-appropriate placement and locality considerations. 
  • Extend Terraform IaC standards to GCP; establish cross-cloud observability using Cloud Monitoring, Cloud Logging, and Cloud Trace.
• Crypto Desk – Specialized Support
  • Design secure, low-latency connectivity to cryptocurrency exchanges via private peering or dedicated API gateways. 
  • Build DDoS-resilient perimeter for crypto-facing infrastructure and enforce strict network segmentation from other trading desks. 
  • Establish WebSocket connection management infrastructure for real-time market data feeds with redundant failover and feed health observability.

Requirements:

• At least 5+ years of experience in a similar role in the industry
• Extensive hands-on experience with both AWS and GCP in performance-sensitive environments
• Deep, hands-on expertise in cloud networking: VPC design, hybrid connectivity, routing, and traffic control across AWS and GCP
• Extensive experience with Terraform at scale
• Direct experience supporting electronic trading or low-latency systems
• Demonstrated ability to build shared platform capabilities and drive adoption across engineering teams
• GCP & Cloud Migration
• Experience migrating latency-sensitive workloads to GCP; familiarity with Compute Engine, GKE, and sole-tenant nodes
• Working knowledge of GCP IAM, Organization Policies, and multi-project governance
• Understanding of multi-cloud networking patterns and cross-cloud security posture management
• Familiarity with exchange API security models, crypto key custody patterns, and WebSocket-based market data infrastructure
• Awareness of crypto-specific threat landscape: API key theft, BGP hijacking, and chain reorganization events

DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV’s posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

Who you’ll be working with

We ideate, create, and coordinate. We analyze, strategize, organize, and prioritize. We bridge the communication channel between the client and our project team. We chart the course and navigate the product roadmap sprint by sprint. Some of us are product owners. Some of us are scrum masters. Many of us wear multiple hats and do whatever’s needed to deliver successful projects.

What you’ll be doing

• Design, develop, and maintain scalable fullstack applications using React/NextJS (TypeScript) on the frontend and Python (Django/FastAPI) or Node.js (Express/NestJS) on the backend.
• Collaborate with Product Managers, Designers, and Engineers to translate business requirements into high-quality technical solutions.
• Build reusable, maintainable, and performant UI components and backend services
• Develop and integrate RESTful and/or GraphQL APIs, ensuring reliability and scalability
• Contribute to architecture discussions and help define best practices across frontend and backend systems.
• Ensure code quality through code reviews, unit/integration testing, and adherence to engineering standards.
• Optimize application performance, scalability, and security across the stack.
• Participate in agile ceremonies including sprint planning, standups, and retrospectives.
• Troubleshoot, debug, and resolve production issues in collaboration with DevOps and QA teams.
• Mentor junior engineers and contribute to a culture of continuous improvement and learning.

What you’ll need to be successful (Requirements)

• Minimum of 4+ years of hands-on development experience in fullstack development
• Strong proficiency in React/NextJS (TypeScript), including state management (e.g., Redux, Context API) and modern frontend practices
• Solid experience with backend development using Python (Django, FastAPI) or Node.js (Express, NestJS)
• Experience designing, implementing and consuming RESTful APIs and/or GraphQL API services
• Strong understanding of database design and experience with relational databases (e.g., PostgreSQL, MySQL)
• Familiarity with cloud platforms such as AWS, GCP, or Azure
• Experience with version control (Git) and CI/CD pipelines through github actions
• Strong problem-solving skills and ability to work in a fast-paced, client-facing environment
• Excellent communication skills and ability to collaborate across cross-functional teams
• Experience working in agile or scrum-based environments
• Familiarity with cloud-based logging, monitoring, and security tools

Bonus Points for these (Preferred Experience)

• Experience with headless CMS platforms (e.g., Contentful, Contentstack, Sanity)
• Familiarity with eCommerce platforms (e.g., Shopify, BigCommerce, Saleor)
• Experience with microservices architecture and containerization (Docker, Kubernetes)
• Knowledge of DevOps practices, infrastructure-as-code (Terraform, CDK), and monitoring tools (Prometheus, Grafana)
• Experience working on healthcare, fintech, or regulated industry projects
• Experience with Data analytics platforms like GCP BigQuery, snowflake

Need another reason to hit the “apply” button? 

• Codal is a global agency with over 200 employees, and offices in the US, Canada, the UK, and India 
• We regularly host happy hours, dinners, excursions, and other company events to unwind after a hard day at work
• Office snacks and drinks + a fancy Bevi water machine with flavored water 
• We offer Medical, Life, Dental/Vision, and many more insurance types 
• Employer 401k match - 4% 
• A recreational group that regularly competes in city leagues for softball and volleyball 
• An office in the heart of downtown Chicago with a gym, food court, Walgreens, rooftop bar, outdoor sports court, and other amenities
• Working hybrid for in-person collaboration and sprint-planning days

**Please note, this is a hybrid role in Chicago.  Applicants should be located in the Chicagoland are or open to relocating on their own. 

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, or remotely in the United States region.

Responsibilities

• Manage a team of 6-8 engineers, fostering a positive culture, handling career growth and performance conversations, and proactively removing blockers
• Help develop a clear technical vision and comprehensive roadmap for our runtime environment, balancing long-term strategic infrastructure goals with immediate engineering needs
• Contribute through light hands-on technical work, such as leading architectural design reviews, reviewing PRs, and stepping in to guide the team through complex operational challenges
• Act as the primary liaison for the Fleet Management team, collaborating closely with other engineering leaders to ensure platform alignment and manage stakeholder expectations

You may be a good fit if you:

• Have 10+ years of experience working on software and operating distributed systems, with 2+ years managing engineering teams
• Possess a customer-focused mindset, treating internal developers as your primary users
• Value efficiency in processes and operations, and have a track record of optimizing team workflows
• Prefer automation over manual processes ("allergic to ops work"), fostering a culture of building software solutions to eliminate toil
• Have deep technical familiarity with Kubernetes ecosystems, containerization technologies, and modern IaC tooling (e.g., Terraform, Crossplane, or Operators) so you can effectively guide the team's technical decisions
• Excel at translating complex business and engineering requirements into actionable, phased technical roadmaps
• Have a high level of empathy, responsibility, ownership, and accountability
• Excellent verbal and written technical communication skills

Strong candidates may also have experience with:

• Leading major architectural shifts, such as migrating teams from traditional IaC to Operator-driven lifecycle management
• 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 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: 426152

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

Overview of Role

66degrees is looking for creative, dedicated, and personable technology business professionals for a Principal Cloud Architect position. level. A Principal Cloud Architect is someone capable of designing complex, large-scale, and often "bleeding-edge" solutions. Our ideal candidate will display relentless curiosity and drive around how we organize ourselves and deploy/use technology to ensure our largest and most complex Enterprise clients IT environments drive business value. We are looking for the right fit with our growing team of Principal level Architects as we solve previously "unsolveable" problems with the scale of AI.

Responsibilities

• Build a trusted advisory relationship with strategic accounts and engage with CIO/CTO/VP IT and Business leaders   
• Architectural Strategy & Governance
• Design Global Scale Systems: Lead the end-to-end architectural design of multi-region, highly available cloud ecosystems that support millions of concurrent users and petabyte-scale data processing.
• Standardize Infrastructure as Code (IaC): Establish and enforce enterprise-wide standards for IaC and config management to ensure consistent, repeatable, and audited deployments across all environments.
• Multi-Cloud & Hybrid Orchestration: Architect complex connectivity and workload portability strategies using Anthos, Private Service Connect, and Cloud Interconnects to bridge legacy on-premises systems with modern cloud services.
• Advanced AI & Data Innovation
• Operationalize Generative AI: Design production-grade RAG (Retrieval-Augmented Generation) architectures, ensuring LLMs are secure, reliably operate within capacity constraints and quotas, monitor and control token costs, and implement Enterprise security grade guardrails.
• End-to-End MLOps: Scale the implementation of automated machine learning pipelines—from ingestion to model serving—using Vertex AI (or self-hosted oss models) to reduce the time-to-market for predictive insights.
• Security, Risk & Compliance
• Zero-Trust Leadership: Design and lead the implementation of comprehensive security frameworks including BeyondCorp, VPC Service Controls, and advanced Identity Management (IAM) to protect sensitive workloads against sophisticated threats.
• Regulatory Engineering: Architect technical controls that automate compliance for global standards (e.g., SOC2, HIPAA, GDPR), ensuring the platform is "secure by design" and audit-ready at all times.
• Technical Leadership & Operational Excellence
• Complex Problem Resolution: Serve as the final technical escalation point for critical production issues, performing deep-root cause analysis on global-scale outages or performance bottlenecks.
• Financial Optimization (FinOps): Direct the cost-optimization strategy by designing high-efficiency architectures that balance performance requirements with long-term cloud spend sustainability.
• Cross-Functional Mentorship: Act as a force multiplier by mentoring other architects and engineering teams, fostering a culture of technical excellence and continuous learning.
• Lead Consultant
• Act as a technical subject matter expert, particularly regarding the Google Cloud ecosystem for business users, providing clear and concise explanations of complex concepts. 
• Identify customer priorities, technical objections, and design strategies encompassing the Google ecosystem to deliver business growth and resolve blockers.
• Lead requirements gathering and project scoping.
• Solution design, problem-solving, and architecture diagramming. 
• Provide domain expertise around public cloud and enterprise technology, and effectively promote Google Cloud with clients, at conferences, and online.
• Provide technical expertise to the team on continuous integration/continuous delivery, infrastructure, monitoring, alerting, and security.
• Provide recommendations on integration strategies, enterprise architectures, platforms, and application infrastructure needed to implement a complete solution for clients.
• Assist in delivering technical solutions to meet customer functional needs and improve service reliability, including CI/CD pipelines and infrastructure builds/migrations.
• Provide Engineer-to-Engineer and Architect-to-Engineer support, including whiteboard sessions and informal Q&A.
• Travel to customer sites, conferences, and other related events as required.

Qualifications

• 5+ years of GCP experience is a must. Experience in other clouds is beneficial.
• Proven experience in building, architecting, designing, and implementing globally distributed cloud-based systems, with a strong understanding of API-first design principles and API management platforms.
• Extensive experience with security (zero trust) and networking in cloud environments
• Capable of advising and implementing CI/CD practices to clients using tools such as GitHub, GitLab, Cloud Build, and Cloud Deploy and concepts such as GitOps and GitFlow.
• Experience in containerizing workloads using Kubernetes, Docker, Helm, and Artifact Registry.
• Knowledge of technology solutions and ability to learn emerging technologies, methodologies, and solutions in the Cloud/IT technology space.
• Ability to work cross-functionally, engage and influence audiences.
• Excellent organizational skills and customer-facing communication.
• Proficiency in documentation and knowledge transfer using remote meetings, written documents, and technical diagrams slide decks.
• Experience in implementing hybrid connectivity using VPN or Cloud Interconnect is a plus.
• GCP Credentials:  Professional Cloud Architect Certification plus any other Professional Cert (Data Engineer preferred) or L400 Generative AI skill badge.  Additional certifications Kubernetes (CKA, CKS), or Terraform strongly recommended
• A Bachelor's degree in Electronics Engineering, Data Science, Information Technology, Business Intelligence, Computer Science, or a related field.

About Us:

Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.

Overview:

DV Trading is seeking a Senior Cloud Infrastructure Engineer to lead the design, buildout, and operation of firm-wide cloud infrastructure supporting all trading desks and research platforms. This role owns core shared cloud capabilities across the firm while also providing specialized infrastructure support to the crypto desk. It requires deep expertise in cloud networking, distributed systems, and infrastructure placement, with strong engineering judgment in environments where latency, operational risk, and security posture directly impact PnL. 

Job Responsibilities:

• Firm-Wide Cloud Platform
  • Own the architecture and operation of cloud infrastructure supporting latency-sensitive trading systems across all desks.
  • Design VPC and network topologies with explicit routing, isolation, and traffic control; partner with the network team to build a robust, highly available, and latency-optimized global network, including Direct Connect to DV office locations and hybrid connectivity across cloud providers (Cloud Interconnect, VPN, Transit Gateway). 
  • Define compute placement strategies, including cluster placement groups and locality-aware scheduling.
  • Build and maintain shared platform capabilities that enable engineering teams across the firm to self-serve reliably and safely.
  • Own FinOps visibility and cost optimization frameworks across all trading and research workloads. 
  • Serve as the primary escalation point for cloud infrastructure incidents firm-wide, owning issues from detection through resolution. 
  • Define firm-wide observability standards and own the cloud layer of the monitoring and alerting stack. 
  • Mentor engineers and establish infrastructure standards that raise the engineering bar across teams.
• Cloud Migration (CME-GCP)
  • Lead infrastructure planning and execution for the migration of CME colocation workloads to GCP, maintaining continuity of latency-sensitive trading operations throughout. 
  • Design hybrid connectivity between colocation environments and GCP (Cloud Interconnect, Cloud VPN). 
  • Architect GCP VPC topology, IAM, and Organization Policy to mirror the security posture enforced on AWS. 
  • Define GCP compute strategy (Compute Engine, GKE, sole-tenant nodes) with trading-appropriate placement and locality considerations. 
  • Extend Terraform IaC standards to GCP; establish cross-cloud observability using Cloud Monitoring, Cloud Logging, and Cloud Trace.
• Crypto Desk – Specialized Support
  • Design secure, low-latency connectivity to cryptocurrency exchanges via private peering or dedicated API gateways. 
  • Build DDoS-resilient perimeter for crypto-facing infrastructure and enforce strict network segmentation from other trading desks. 
  • Establish WebSocket connection management infrastructure for real-time market data feeds with redundant failover and feed health observability.

Requirements:

• At least 5+ years of experience in a similar role in the industry
• Extensive hands-on experience with both AWS and GCP in performance-sensitive environments
• Deep, hands-on expertise in cloud networking: VPC design, hybrid connectivity, routing, and traffic control across AWS and GCP
• Extensive experience with Terraform at scale
• Direct experience supporting electronic trading or low-latency systems
• Demonstrated ability to build shared platform capabilities and drive adoption across engineering teams
• GCP & Cloud Migration
• Experience migrating latency-sensitive workloads to GCP; familiarity with Compute Engine, GKE, and sole-tenant nodes
• Working knowledge of GCP IAM, Organization Policies, and multi-project governance
• Understanding of multi-cloud networking patterns and cross-cloud security posture management
• Familiarity with exchange API security models, crypto key custody patterns, and WebSocket-based market data infrastructure
• Awareness of crypto-specific threat landscape: API key theft, BGP hijacking, and chain reorganization events

DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV’s posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

We are looking for a Staff Software Engineer that will join the Auth0 Security Engineering organization. You’ll be responsible for designing and building the security guardrails for our multi-cloud environment, translating complex security and compliance standards into programmatic, code-driven policies.

What You Will Do

• Cloud Security Strategy: Design organization-wide controls (SCPs, Azure Policy) that provide maximum protection with minimum developer friction.
• Identity & Access Management (IAM): Architect templates and permission boundaries that govern how services and humans interact with our cloud environment with the principle of least privilege in mind.
• Infrastructure & Network Security: Define the security standards for VPC architecture, edge networking, and cross-account connectivity.
• Platform Security Architecture: Lead platform-related security reviews for new features and high-impact services, ensuring security is baked into the design phase.
• System Design: Design systems and processes to validate the security posture of the platform, ensuring our security policies are enforced in real-time with actionable feedback for engineering teams.
• Mentorship & Influence: You raise the bar for the entire organization by mentoring junior engineers and influencing senior leadership on critical security decisions.

What You Bring

• Cloud & Infrastructure Expertise:  8+ years of proven experience in information security, specifically within cloud-native environments, Kubernetes (EKS, AKS), and cloud security.
• Network Architecture & PKI: Deep understanding of secure networking principles, including VPC peering/transit gateways, VPN implementations, edge protection, and managing public/private PKI infrastructures.
• Policy & Automation Specialist: Strong background in building automated controls for enforcing Policy-as-Code within Terraform workflows.
• Practical Risk Assessments: Hands-on experience identifying attack vectors and conducting risk assessments for complex, distributed systems.
• Tooling & AI Proficiency: Experience working with security platforms for analyzing cloud permissions and a background or interest in applying AI to streamline security tasks and governance.
• Collaborative Influencer: Exceptional communication skills with a track record of aligning multiple teams toward shared security goals.
• Education: A Bachelor's degree in Computer Science, Information Security, Systems Engineering, or a related field.

Nice to Have

• Experience navigating compliance frameworks such as FedRAMP, SOC2, or HIPAA in a cloud environment.
• Proficiency in one or more languages used for automation and tooling, such as Python, Go, or JavaScript.
• Experience creating, managing, and securing containerized environments.
• Experience with service mesh (Istio) security policies and zero-trust networking.

Additional requirements:

• This position requires the ability to access federal environments and/or have access to protected federal data.  As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire.

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About the Role

The Challenge

Do you know what it takes to evolve "some dbt models" into a fully governed, well-tagged data platform that every function in the company trusts? Are you ready to take IaC from 60% to 100% coverage while building multi-region resiliency for sensitive financial data?

The Team and Scope

As our Data and Platform Engineering Manager, you'll lead a team of six engineers — three data and three platform — reporting directly to the CTO. You'll steward the full lifecycle from raw ingestion to governed data assets, while growing Caribou's GCP infrastructure toward complete automation and cost efficiency. This role sits at the heart of Caribou's engineering leadership team — a meaningful seat at the table as we scale toward our next stage.

Our Stack and Philosophy

We're on GCP (GKE, Cloud Storage, CloudSQL, BigQuery, Cloud Composer) and use dbt and Pulumi. We care more about your engineering fundamentals and curiosity than your specific history with these tools. If you're experienced in AWS, Snowflake, or Terraform and excited to apply those principles to our stack, we want to talk to you.

Your First 90 Days

Your primary mission will be to lead your data engineers, alongside our analytics and data science teams, in maturing our medallion and marts architecture. We aim to deliver material protection against data evolution for the organization by the second half of 2026.

What You Will Do

• Shape the architectural vision for our data platform, ensuring high-quality, self-service data assets across all business functions
• Lead the SDLC for your team, delivering platform and infrastructure improvements consistently and with clear communication
• Strengthen Caribou's GCP infrastructure by growing IaC coverage, optimizing cloud spend, and building platform resiliency
• Collaborate with Analytics and Product to understand platform needs and translate that context into a prioritized roadmap
• Mentor and coach engineers to deepen their expertise across data modeling, platform engineering, and technical leadership
• Help shape Caribou's engineering culture, contributing a perspective that touches every part of the business

Candidates are welcome to work remotely from the states of AZ, CO, DC, IL, MD, TX, and VA with a preference for the Chicago IL, Denver CO, or Phoenix AZ areas.  Caribou does provide the option to work in-office or hybrid from our Denver, CO or Chandler, AZ offices.  We may consider remote candidates in CA, FL, MA, NY, OR, WA, and WI, subject to additional approval. Eligibility by state is subject to change.  

Please let us know if you need accommodations at any point during the interview process.

What We Look For

• Experience leading engineers who build and mature data platforms — from raw ingestion pipelines through governed assets business teams rely on
• Fluency with the modern data stack: dbt, a cloud warehouse (BigQuery or equivalent), orchestration tooling, and sound data modeling patterns
• Cloud infrastructure fluency — IaC tooling (Terraform or equivalent), cost discipline, and the operational rigor a regulated financial environment demands
• Collaborative leaders who favor context over command and control, measuring success by the growth of those around them
• Curious, life-long learners equally at home in a data modeling discussion and a deep infrastructure review, bringing the same rigor to both.

We know strong candidates rarely check every box, and backgrounds in this space take many shapes — analytics engineers who grew into platform ownership, SREs who moved into data, DevOps practitioners who found their way to EM. If this role excites you, we'd love to hear from you.

Interview Roadmap:

• Recruiter phone interview (30 mins)
• At-home coding assessment (60 mins)
• Hiring Manager video interview (60 mins)
• Final interview loop - (4) one-hour video interviews scheduled across 1-4 business days

How we will take care of you

Everyone at Caribou is a valued team member. Our compensation and benefits package includes: 

• Competitive compensation: $175k - $215k
• Eligible for annual performance based bonus
• Equity options
• 401k savings program
• Generous paid time off including: Flexible Time Off (FTO) for all employees and 100% paid parental leave for all parents.
• Robust wellness benefits including company-paid plans for health, dental, vision, mental health, disability and basic life insurance.
• Optional benefits to suit your individual circumstances such as HSAs, FSAs, supplemental life and medical insurance, and pet insurance.
• Up to $1,000 per year for eligible professional development expenses.

Hudson River Trading (HRT) is seeking a Senior WAN Engineer with experience designing, deploying, and scaling high-capacity WAN to support our evolving HPC research and algorithmic trading application requirements.

The WAN Engineering Team designs and engineers the Global Wide Area Network (WAN) Infrastructure that supports our massive HPC data centers as well as our trading infrastructure globally. Our mandate is to architect, optimize, and scale the high-performance LAN and WAN infrastructure that interconnects our globally distributed, large-scale on-prem data centers and trading colos, enabling them to grow rapidly and operate at peak performance in support of HRT’s demanding computational workloads. 

Responsibilities

• Strategic network design, product selection, routing, configuration and troubleshooting for our next-generation WAN
• Work closely with our Networks and HPC Systems teams, among others, to scale our WAN to meet HRT’s evolving research and trading application requirements
• Overall capacity planning for the Data Center WAN
• Implement fully programmatically-driven network architectures using Python and configuration management tools (e.g., Ansible, Terraform, Saltstack)
• Collaborate with others in the network team to solve cross-disciplinary problems
• Analyze traffic patterns and optimize bandwidth usage
• Provide detailed documentation 
• Mentor others as a senior resource 

Qualifications

• 10+ years of relevant experience with carrier-scale global WAN design
• Proven ability to prioritize workloads and manage implementation schedules with  meticulous attention to detail 
• Proactive problem-solver with the technical skills and hands-on mentality to tackle challenges in the field
• Strong cross-functional collaboration skills and a focus on continuous improvement, with the humility to own and learn from mistakes
• Strong expertise in:
• Advanced BGP (BGP-SR, MP-BGP, BGP-LU, Extended Communities, UCMP), eBGP Route Server
• Segment Routing (SR-MPLS, SR-TE, BGP Prefix SID, Flex-Algo, TI-LFA, Fast Re-route)
• MPLS (LDP, RSVP-TE)
• OSPF/IS-IS
• QOS in WAN Environments
• Network and QOS Telemetry
• Multi-WAN vendor expertise (Arista, Cisco, Juniper, Other)
• Packet decoding and analysis tools such as tcpdump and Wireshark
• Experience with public cloud networks such as AWS, GCP, or Azure
• Unix/Linux command line utilities and networking stack
• Familiarity with Prometheus, Grafana, ELK is desirable
• Optical OLS/DWDM experience is desirable 

The estimated base salary range for this position is 150,000 to 250,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is seeking a Senior WAN Engineer with experience designing, deploying, and scaling high-capacity WAN to support our evolving HPC research and algorithmic trading application requirements.

The WAN Engineering Team designs and engineers the Global Wide Area Network (WAN) Infrastructure that supports our massive HPC data centers as well as our trading infrastructure globally. Our mandate is to architect, optimize, and scale the high-performance LAN and WAN infrastructure that interconnects our globally distributed, large-scale on-prem data centers and trading colos, enabling them to grow rapidly and operate at peak performance in support of HRT’s demanding computational workloads. 

Responsibilities

• Strategic network design, product selection, routing, configuration and troubleshooting for our next-generation WAN
• Work closely with our Networks and HPC Systems teams, among others, to scale our WAN to meet HRT’s evolving research and trading application requirements
• Overall capacity planning for the Data Center WAN
• Implement fully programmatically-driven network architectures using Python and configuration management tools (e.g., Ansible, Terraform, Saltstack)
• Collaborate with others in the network team to solve cross-disciplinary problems
• Analyze traffic patterns and optimize bandwidth usage
• Provide detailed documentation 
• Mentor others as a senior resource 

Qualifications

• 10+ years of relevant experience with carrier-scale global WAN design
• Proven ability to prioritize workloads and manage implementation schedules with  meticulous attention to detail 
• Proactive problem-solver with the technical skills and hands-on mentality to tackle challenges in the field
• Strong cross-functional collaboration skills and a focus on continuous improvement, with the humility to own and learn from mistakes
• Strong expertise in:
• Advanced BGP (BGP-SR, MP-BGP, BGP-LU, Extended Communities, UCMP), eBGP Route Server
• Segment Routing (SR-MPLS, SR-TE, BGP Prefix SID, Flex-Algo, TI-LFA, Fast Re-route)
• MPLS (LDP, RSVP-TE)
• OSPF/IS-IS
• QOS in WAN Environments
• Network and QOS Telemetry
• Multi-WAN vendor expertise (Arista, Cisco, Juniper, Other)
• Packet decoding and analysis tools such as tcpdump and Wireshark
• Experience with public cloud networks such as AWS, GCP, or Azure
• Unix/Linux command line utilities and networking stack
• Familiarity with Prometheus, Grafana, ELK is desirable
• Optical OLS/DWDM experience is desirable 

This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Facebook, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. 

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. The people of Adyen are motivated individuals who tackle unique technical challenges.

Senior Infrastructure Developer

We are looking for a Senior Infrastructure Developer to help design and create productivity tools that integrate with the Adyen on-prem and cloud ecosystem and empower employees to build products safely and more efficiently by engineering workflow automations that leverage AI-assisted tools to empower teams to build and ship products safely.

Who you are

• 10+ years of experience in high-traffic environments where downtime has a direct financial or operational impact.
• Advanced hands-on experience in Python/Go, Typescript and CI pipelines.
• Experience building and maintaining MCP servers and its ecosystems.
• Integrating AI Assisted Development Tools into workflows and development pipelines.
• Advanced experience managing production Kubernetes applications using and maintaining Helm charts and deployments via ArgoCD.
• Proficient with Infrastructure as Code (IaC) for provisioning both cloud or on-premise resources, ideally with Terraform.
• Hands-on experience with Consul, Kubernetes Ingress Controllers and HAProxy.
• Advanced knowledge with observability tools like Prometheus, Grafana, ThousandEyes and Elasticsearch.

What you’ll do

• Architect, design and build workflow automations across the company, to enable employees to build and run applications with little to no technical knowledge.
• Lead discussions and implementation for building MCP servers as a bridge between Adyen’s on-prem and cloud services with AI assisted development tools.
• Design and implement multi-layered monitoring strategies (synthetic, blackbox and whitebox) for both on-premise and SaaS tools.
• Participate in an on-call rotation, acting as a point of escalation for complex infrastructure outages.
• Identify and automate manual operations to effectively reduce toil.
• Act as a technical mentor within the team, facilitating the upskilling of team members across different global regions.

Our Diversity, Equity and Inclusion commitments 

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. 

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

Please note that this role is a full-time position in Chicago. 

Our Diversity, Equity and Inclusion commitments 

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. 

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

Adyen is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.

All your information will be kept confidential according to EEO guidelines.

The annual base salary range for this role is $180,000 - $243,000; to learn more about our compensation philosophy, please click here.

The Internal Identity & Access Management (I2AM) team is responsible for critical production infrastructure that provides a foundational notion of Identity and strong authentication and authorization controls across Pinterest. Our backend is primarily written in Golang, Python with some C++ while our frontend tools are written in React and TypeScript. We’re looking for a software engineer who will help us build robust tooling to define and evaluate access controls across production infrastructure. A security background is not necessary but ideal candidates will have familiarity with the problems or related spaces, such as Infrastructure or Identity.

What you’ll do:

• Contribute to the technical roadmap for identity and authorization controls for users, services and AI Agents.
• Design, implement, and maintain mission-critical features that will help us deliver robust IAM infrastructure and libraries to our customers.
• Leverage Agentic AI to improve systems and least privilege, while applying judgment and verification to ensure correctness and quality. Improve code quality and system performance using AI Coding Agents.
• As member of the Infrastructure Security team, build performant and resilient AAA (Authentication, Authorization, Auditing) platform controls into various high-traffic services including our AI Agents, online/offline data platforms, databases, service mesh. (Envoy) and other critical infrastructure components.

What we're looking for:

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
• 2+ years of software development experience.
• Experienced in developing features end to end, with preferred experience developing them in distributed systems.
• Experience with critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review).
• Demonstrated ability to prototype and use AI tooling to improve reliability and quality of day-to-day workflow and system performance.
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.
• Experience in some of the following areas is a strong plus:
• Identity, Account Security, Authentication/Authorization (OAuth, SAML, RBAC) protocols
• AWS or other public cloud infrastructure, containerization such as Kubernetes 
• Infrastructure provisioning tools (Terraform, Puppet, etc.)
• Familiarity with networking protocols (Application layer)

In-Office Requirement Statement: 

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country. 

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-REMOTE

#LI-JT1

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

About the Role

We're looking for a Platform Engineer to join our Platform Infrastructure team supporting Cumberland and FICCO's trading operations. In this role, you'll be the driving force behind how we deploy, observe, and scale our systems - making deployments faster, system health more visible, and infrastructure more self-service.

Your focus will be on automating deployment patterns, building observability that actually surfaces signal over noise, and evolving our platforms to meet the demands of mission-critical trading.

This role will be for our Chicago office.

What You'll Do:

• Converge and improve application deployment patterns across containerized and non-containerized workloads
• Build self-service infrastructure provisioning using Terraform/Terragrunt and Ansible
• Drive CI/CD excellence and advocate for modern software delivery practices
• Enhance monitoring and alerting to enable proactive capacity management and early failure detection - without the noise
• Research and implement technologies that improve container orchestration, workload management, and system visibility
• Learn and support in-house tools for infrastructure management and deployment workflows
• Participate in on-call rotation to resolve trade-critical issues and identify opportunities for automation
• Maintain system security through regular patching, reporting, and compliance with security standards
• Challenge the status quo and advocate for meaningful change

What We're Looking For:

The Tech

• Experience supporting mission-critical, high-performance trading systems
• Strong Kubernetes experience (deployment, troubleshooting, optimization)
• Proficiency with Prometheus and Grafana for monitoring and observability
• Solid Python skills for automation and tooling
• Hands-on experience with Ansible and Terraform/Terragrunt
• Strong Linux systems knowledge
• Understanding of CI/CD pipelines and software delivery best practices
• Familiarity with TLS and network protocols (including multicast and WebSockets)
• Familiarity with AWS

The Intangibles

• You learn quickly and genuinely enjoy exploring new technology
• You take ownership - problems don't sit idle on your watch
• You communicate clearly, both in writing and conversation, especially across distributed teams
• You stay composed under pressure and manage competing priorities effectively
• You can accommodate occasional off-hours calls and escalations

The annual base salary range for this position is $140,000 to $180,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

#LI-BL1

About Us:

Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.

Overview:

DV Trading is seeking a Senior Cloud Infrastructure Engineer to lead the design, buildout, and operation of firm-wide cloud infrastructure supporting all trading desks and research platforms. This role owns core shared cloud capabilities across the firm while also providing specialized infrastructure support to the crypto desk. It requires deep expertise in cloud networking, distributed systems, and infrastructure placement, with strong engineering judgment in environments where latency, operational risk, and security posture directly impact PnL. 

Job Responsibilities:

• Firm-Wide Cloud Platform
  • Own the architecture and operation of cloud infrastructure supporting latency-sensitive trading systems across all desks.
  • Design VPC and network topologies with explicit routing, isolation, and traffic control; partner with the network team to build a robust, highly available, and latency-optimized global network, including Direct Connect to DV office locations and hybrid connectivity across cloud providers (Cloud Interconnect, VPN, Transit Gateway). 
  • Define compute placement strategies, including cluster placement groups and locality-aware scheduling.
  • Build and maintain shared platform capabilities that enable engineering teams across the firm to self-serve reliably and safely.
  • Own FinOps visibility and cost optimization frameworks across all trading and research workloads. 
  • Serve as the primary escalation point for cloud infrastructure incidents firm-wide, owning issues from detection through resolution. 
  • Define firm-wide observability standards and own the cloud layer of the monitoring and alerting stack. 
  • Mentor engineers and establish infrastructure standards that raise the engineering bar across teams.
• Cloud Migration (CME-GCP)
  • Lead infrastructure planning and execution for the migration of CME colocation workloads to GCP, maintaining continuity of latency-sensitive trading operations throughout. 
  • Design hybrid connectivity between colocation environments and GCP (Cloud Interconnect, Cloud VPN). 
  • Architect GCP VPC topology, IAM, and Organization Policy to mirror the security posture enforced on AWS. 
  • Define GCP compute strategy (Compute Engine, GKE, sole-tenant nodes) with trading-appropriate placement and locality considerations. 
  • Extend Terraform IaC standards to GCP; establish cross-cloud observability using Cloud Monitoring, Cloud Logging, and Cloud Trace.
• Crypto Desk – Specialized Support
  • Design secure, low-latency connectivity to cryptocurrency exchanges via private peering or dedicated API gateways. 
  • Build DDoS-resilient perimeter for crypto-facing infrastructure and enforce strict network segmentation from other trading desks. 
  • Establish WebSocket connection management infrastructure for real-time market data feeds with redundant failover and feed health observability.

Requirements:

• At least 5+ years of experience in a similar role in the industry
• Extensive hands-on experience with both AWS and GCP in performance-sensitive environments
• Deep, hands-on expertise in cloud networking: VPC design, hybrid connectivity, routing, and traffic control across AWS and GCP
• Extensive experience with Terraform at scale
• Direct experience supporting electronic trading or low-latency systems
• Demonstrated ability to build shared platform capabilities and drive adoption across engineering teams
• GCP & Cloud Migration
• Experience migrating latency-sensitive workloads to GCP; familiarity with Compute Engine, GKE, and sole-tenant nodes
• Working knowledge of GCP IAM, Organization Policies, and multi-project governance
• Understanding of multi-cloud networking patterns and cross-cloud security posture management
• Familiarity with exchange API security models, crypto key custody patterns, and WebSocket-based market data infrastructure
• Awareness of crypto-specific threat landscape: API key theft, BGP hijacking, and chain reorganization events

Benefits:

• Discretionary bonus eligibility
• Medical, dental, and vision insurance
• HSA, FSA, and Dependent Care Options
• Employer Paid Group Term Life and AD&D insurance
• Voluntary LTD, Life & AD&D insurance
• Flexible Vacation policy
• Retirement plan with employer match
• Paid Parental Leave
• Wellness Programs

DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV’s posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

About Us:

Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.

Overview:

DV Trading is seeking a Senior Cloud Infrastructure Engineer to lead the design, buildout, and operation of firm-wide cloud infrastructure supporting all trading desks and research platforms. This role owns core shared cloud capabilities across the firm while also providing specialized infrastructure support to the crypto desk. It requires deep expertise in cloud networking, distributed systems, and infrastructure placement, with strong engineering judgment in environments where latency, operational risk, and security posture directly impact PnL. 

Job Responsibilities:

• Firm-Wide Cloud Platform
  • Own the architecture and operation of cloud infrastructure supporting latency-sensitive trading systems across all desks.
  • Design VPC and network topologies with explicit routing, isolation, and traffic control; partner with the network team to build a robust, highly available, and latency-optimized global network, including Direct Connect to DV office locations and hybrid connectivity across cloud providers (Cloud Interconnect, VPN, Transit Gateway). 
  • Define compute placement strategies, including cluster placement groups and locality-aware scheduling.
  • Build and maintain shared platform capabilities that enable engineering teams across the firm to self-serve reliably and safely.
  • Own FinOps visibility and cost optimization frameworks across all trading and research workloads. 
  • Serve as the primary escalation point for cloud infrastructure incidents firm-wide, owning issues from detection through resolution. 
  • Define firm-wide observability standards and own the cloud layer of the monitoring and alerting stack. 
  • Mentor engineers and establish infrastructure standards that raise the engineering bar across teams.
• Cloud Migration (CME-GCP)
  • Lead infrastructure planning and execution for the migration of CME colocation workloads to GCP, maintaining continuity of latency-sensitive trading operations throughout. 
  • Design hybrid connectivity between colocation environments and GCP (Cloud Interconnect, Cloud VPN). 
  • Architect GCP VPC topology, IAM, and Organization Policy to mirror the security posture enforced on AWS. 
  • Define GCP compute strategy (Compute Engine, GKE, sole-tenant nodes) with trading-appropriate placement and locality considerations. 
  • Extend Terraform IaC standards to GCP; establish cross-cloud observability using Cloud Monitoring, Cloud Logging, and Cloud Trace.
• Crypto Desk – Specialized Support
  • Design secure, low-latency connectivity to cryptocurrency exchanges via private peering or dedicated API gateways. 
  • Build DDoS-resilient perimeter for crypto-facing infrastructure and enforce strict network segmentation from other trading desks. 
  • Establish WebSocket connection management infrastructure for real-time market data feeds with redundant failover and feed health observability.

Requirements:

• At least 5+ years of experience in a similar role in the industry
• Extensive hands-on experience with both AWS and GCP in performance-sensitive environments
• Deep, hands-on expertise in cloud networking: VPC design, hybrid connectivity, routing, and traffic control across AWS and GCP
• Extensive experience with Terraform at scale
• Direct experience supporting electronic trading or low-latency systems
• Demonstrated ability to build shared platform capabilities and drive adoption across engineering teams
• GCP & Cloud Migration
• Experience migrating latency-sensitive workloads to GCP; familiarity with Compute Engine, GKE, and sole-tenant nodes
• Working knowledge of GCP IAM, Organization Policies, and multi-project governance
• Understanding of multi-cloud networking patterns and cross-cloud security posture management
• Familiarity with exchange API security models, crypto key custody patterns, and WebSocket-based market data infrastructure
• Awareness of crypto-specific threat landscape: API key theft, BGP hijacking, and chain reorganization events

Benefits:

• Discretionary bonus eligibility
• Medical, dental, and vision insurance
• HSA, FSA, and Dependent Care Options
• Employer Paid Group Term Life and AD&D insurance
• Voluntary LTD, Life & AD&D insurance
• Flexible Vacation policy
• Retirement plan with employer match

DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV’s posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

WHO WE ARE:  

Aviatrix® is pioneering the Cloud Native Security Fabric — the architecture the Containment Era requires. The Cloud Native Security Fabric governs every workload communication path across every cloud, every VPC, every Kubernetes cluster, and every serverless function, from a single policy plane. One rule. Universal propagation. Enforced at the workload, not at a chokepoint. Trusted by more than 500 of the world's leading enterprises. For more information, visit aviatrix.ai. 

ABOUT THE ROLE:

We are looking for a seasoned Senior DevOps Engineer to join our team and take ownership of our CI/CD ecosystem, cloud infrastructure automation, and developer platform. This is a journey-level, fully qualified position where you will independently design and drive solutions across complex, diverse projects — bringing both technical depth and collaborative leadership to everything you do.

You will work at the intersection of infrastructure engineering, AI-driven tooling, and modern cloud operations, partnering closely with development and TechOps teams to accelerate delivery cycles and ensure the reliability, security, and scalability of our systems.

Key Responsibilities:

• Design, implement, and maintain robust, scalable CI/CD pipelines across multiple environments, applying industry best practices to optimize delivery speed and system reliability.
• Automate the provisioning and lifecycle management of cloud resources (VMs, EC2, and more) using Infrastructure as Code — with Terraform as the primary tool — ensuring consistent, repeatable, and auditable deployments.
• Manage and optimize cloud networking configurations, supporting complex developer workflows and infrastructure scalability requirements.
• Integrate AI and large language model (LLM) capabilities into DevOps tooling and developer workflows, including leveraging Model Context Protocol (MCP) for intelligent automation and context-aware pipeline tooling.
• Collaborate with engineering and operations teams to identify bottlenecks, reduce toil, and continuously improve the release process.
• Apply security best practices to deployment pipelines and cloud infrastructure, proactively identifying and remediating vulnerabilities.
• Monitor, observe, and optimize infrastructure performance, taking initiative to resolve complex issues before they impact customers.
• Evaluate emerging tools and technologies — particularly in the AI/LLM space — and provide guidance on how to incorporate them effectively into organization workflows.
• Communicate technical strategies and recommendations clearly to senior internal and external stakeholders, adapting your approach to diverse audiences and often driving alignment on difficult decisions.

Qualifications:

• 5+ years of related DevOps/infrastructure engineering experience (or 3 years with a Master’s degree or equivalent experience).
• Deep, hands-on expertise with Terraform for infrastructure as code — this is a must-have.
• Hands-on, production-level experience building and deploying AI/LLM-integrated systems — this is a must-have. You have worked directly with large language model APIs, designed AI-assisted workflows, and shipped real tooling powered by LLMs in an engineering or DevOps context.
• Hands-on, production-level experience with Model Context Protocol (MCP) — this is a must-have. You have implemented MCP-based integrations to build intelligent, context-aware developer tools, automation pipelines, or agent workflows, not just read about it.
• Strong command of CI/CD platforms (e.g., GitHub Actions, GitLab CI, Jenkins, CircleCI, or similar).
• Experience provisioning and managing cloud infrastructure on AWS, GCP, or Azure (EC2, VMs, VPCs, IAM, etc.).
• Solid understanding of cloud networking concepts (VPCs, subnets, security groups, load balancers, DNS).
• Demonstrated ability to work independently, resolve ambiguous and complex problems, and deliver high-quality solutions with minimal supervision.

Preferred:

• Experience with Kubernetes, Helm, or container orchestration platforms.
• Familiarity with GitOps workflows (e.g., ArgoCD, Flux).
• Scripting proficiency in Python, Bash, or Go.
• Knowledge of observability tooling (Datadog, Prometheus/Grafana, OpenTelemetry).
• Experience building internal developer platforms (IDPs).

US Pay Range:

The US National annual base salary range for this full-time position is $131,500-$154,700 + benefits + 401(k) match + equity. The pay range is determined by the role, work location, job-related skills, level, experience and relevant education. [Certain roles are eligible to earn sales commission, depending on the terms of the applicable plan.] The range displayed is the minimum and maximum target base salary and is applicable only for new hires for the listed position located in the US. Your Talent Advisor can share more details regarding salary ranges, benefits, and equity for your location during the hiring process.

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.

Expert Solutions Architect

At Ensono, our Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things!  We enable our clients to achieve key business outcomes that reshape how our world runs. As an expert technology adviser and managed service provider with cross-platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation.

We can Do Great Things because we have great Associates. The Ensono Core Values unify our diverse talents and are woven into how we do business. These five traits are the key to achieving our purpose:

Honesty, Reliability, Curiosity, Collaboration, and Passion.

About the role and what you'll be doing: 

We are seeking an experienced Solution Architect with deep expertise in AWS, Nutanix on AWS (NC2), and enterprise security and observability Solutions to design, build, and modernize scalable, secure cloud and hybrid Solutions.

This role plays a critical part in migrating workloads from on‑premises data centers to AWS, enabling standardized cloud Solutions, and integrating automation, security, and monitoring capabilities. You will partner with infrastructure, application, security, and operations teams to deliver resilient, compliant, and cost‑optimized solutions at enterprise scale.

We want all new Associates to succeed in their roles at Ensono. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Required Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply. 

Key Responsibilities

Solution Architecture & Design

• Architect enterprise‑grade cloud and hybrid Solutions using AWS and Nutanix on AWS (NC2)
• Define cloud landing zones, reference architectures, and Solution standards
• Design highly available, scalable, and fault‑tolerant solutions aligned with business and compliance requirements
• Evaluate and recommend Solution tools, services, and technologies

Cloud Migration (On‑Premises to AWS)

• Lead architecture and design for on‑premises data center migrations to AWS, including hybrid and phased approaches
• Support migrations using Nutanix on AWS (NC2) as a transition or steady‑state Solution
• Define migration patterns (lift‑and‑shift, re‑Solution, hybrid) and cutover strategies
• Partner with application and infrastructure teams to minimize risk and downtime

AWS & Nutanix (NC2) Engineering

• Design and implement Nutanix Cloud Solution (AOS, AHV, Prism) running on AWS
• Architect networking and connectivity across on‑prem, AWS, and NC2 environments (VPCs, Transit Gateway, VPN, Direct Connect)
• Support workload placement and performance optimization across Solutions

Automation, Configuration & CI/CD

• Enable Solution automation and configuration management using Harness
• Drive infrastructure‑as‑code and configuration standards using Terraform, CloudFormation, and Ansible
• Integrate CI/CD pipelines for Solution and infrastructure deployments
• Promote repeatable, version‑controlled Solution builds

Security, Identity & Access Management

• Design and implement AWS IAM strategies including roles, policies, least‑privilege access, and federation
• Integrate CyberArk for privileged access management
• Implement endpoint and workload protection using CrowdStrike
• Ensure security best practices across cloud and hybrid Solutions

Observability, Logging & Operations

• Design and integrate centralized logging, monitoring, and observability using Splunk and AWS‑native services
• Define operational monitoring, alerting, and incident response patterns
• Support SRE and operations teams with reliable and observable Solutions

Governance, Risk & Compliance

• Establish cloud governance, guardrails, and compliance controls
• Ensure Solution designs meet security, audit, and regulatory requirements
• Support DR, backup, and business continuity architecture

Collaboration & Technical Leadership

• Act as a trusted technical advisor to stakeholders, engineers, and leadership
• Provide guidance and mentorship to Solution and cloud engineering teams
• Contribute to architectural roadmaps, standards, and best practices

Required Skills & Experience

• You will need to be in 2-4 hours’ drive distance from Boston, MA, Princeton, NJ or Downers Grove IL.  Not for a daily commute but occasional office visits.
• 7+ years of experience in infrastructure, cloud, or Solution architecture
• Strong hands‑on experience with AWS (EC2, VPC, IAM, S3, RDS, EKS, Transit Gateway, Direct Connect)
• Proven experience with Nutanix on AWS (NC2) and Nutanix Solution components
• Hands‑on experience migrating workloads from on‑premises environments to AWS
• Experience with Terraform, Harness for configuration management and CI/CD
• Strong understanding of IAM, security tooling, and enterprise controls
• Experience integrating Splunk, CyberArk, and CrowdStrike
• Solid background in hybrid networking and enterprise infrastructure
• The ability to work some nights and weekends for migration projects.

Preferred Qualifications

• AWS Certified Solutions Architect (Associate or Professional)
• Nutanix certifications (NCP, NCM, or equivalent)
• Experience with Windows and Linux Solutions
• Background in large‑scale enterprise or regulated environments
• Consulting or Managed Services experience

Why Ensono?

Ensono is a place to make better happen – for our clients and for your career. You can do great things through innovation or collaboration, by learning or volunteering, or to promote diversity and inclusion. You can do great things for your own health or for a healthier planet. Whatever it means to you to do great things we want Ensono to be the place you can do it. 

We are a client-facing business, but we do encourage clients to allow us to work remotely most of the time so if you are not required to be on a client site, you can choose to work from home or in our Ensono offices.

Some of our benefits include:

• Unlimited Paid Days Off
• Three health plan options
• 401k with company match
• Eligibility for dental, vision, short and long-term disability, life and AD&D coverage, and flexible spending accounts
• Family Forming Benefit including fertility coverage and adoption/surrogacy reimbursement
• Paid childbearing and paternal leave
• Education Reimbursement, Student Loan Assistance or 529 College Funding
• Sabbatical leave
• Wellness program
• Flexible work schedule

As of the date of this posting, a good faith estimate of the current pay scale for this role is $151,000 to $204,000 annually based on a full-time schedule. Please note that placement in the range may vary based on numerous factors including but not limited to skills, experience, internal equity, and business needs. In addition to base salary, other compensation programs, depending on eligibility, include an annual bonus plan based on company and individual performance, and an equity grant under our Associate Equity Appreciation Program.

Ensono is an Equal Opportunity/Affirmative Action employer. We are committed to providing equal employment to our Associates and building a diverse and inclusive workforce. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or other legally protected basis, in accordance with applicable law.

Pay transparency nondiscrimination statement/posting OFCCP’s pay transparency policy can be found on OFCCP’s website.

If you need accommodation at any point during the application or interview process, please let your recruiter know or email USTalentAcquisition@ensono.com.

WHAT YOU'LL DO

As our customer base continues to grow with the excitement around BrazeAI, we’re expanding our team! Join our Forward-Deployed Data Scientist group of creative technical experts who partner with customers to ensure their success. In this role, you will:

• Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
• Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
• Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
• Contribute to shaping BrazeAI product strategy and roadmap through customer-facing insights and technical expertise
• Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success

WHO YOU ARE

• Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master’s or PhD in a relevant technical discipline preferred
• Experience: 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred
• Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
• Engineering best practices: You write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions
• Nice-to-have skills: Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL, and pipeline optimization, or reinforcement learning algorithms
• Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value
• Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions
• Continuous learner: You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow
• Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $98,000-$164,000/year, with an expected On Target Earnings (OTE) between $109,000-$183,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

#LI-Hybrid

About the Role

This is a hands-on technical leadership role at the intersection of IT, SRE, and Product/Production Support. You will be the senior technical escalation point managing managers spanning multiple sub-functions (Service desk, IT & Product Support, Production Engineering). You will be obsessed with uptime. The job is to architect the monitoring, telemetry, and automation that lets us catch issues before users experience them; to run incidents when they happen; and to drive the postmortems and engineering partnerships that prevent the next one. You will also lead, mentor, grow managers and individual contributors, mature support processes end-to-end. This is not a service-delivery oversight role. You will spend time in dashboards, queries, and code, not in steering committees. You will be expected to write SQL, build monitors, review Terraform, and lead a P1 bridge personally.
This is an in-office-focused hybrid role based in Chicago.

What You'll Do

Production Reliability & Incident Management: 

• Own the incident response end-to-end. Serve as incident commander on high-impact P1/P2 incidents, lead communication, coordinate engineering and business stakeholders, run blameless postmortems, and drive resulting action items to closure.
• Architect and continuously refine the observability stack. Build and tune dashboards, alerts and synthetic monitoring that give real-time visibility into system and end-user experience health.
• Drive a shift from reactive to proactive. Identify what is breaking before it breaks. Use telemetry, anomaly detection, and trend analysis to surface systemic issues; partner with technical stakeholders to eliminate them at the source.
• Hit the operational metrics that matter. Ensure tight SLA adherence and continuous improvement across both end-user support and production incidents.

Technical Depth & Automation:

• Be the senior technical escalation. You will personally dig into logs, queries, and infrastructure to unblock the team when needed.
• Drive automation and self-service that eliminates repeat tickets and matures our knowledge management strategy.
• Implement AI and automated solutions to improve quality & speed of operations.

Leadership & Operations:

• Manage defects and enhancements, resolve incidents, and prevent systemic issues through structured Product management, Engineering and Operations partnership.
• Strengthen the feedback loop from support into the product roadmap. 
• Own and advance internal IT & Product support services (service desk, endpoint support, access management, etc).
• Foster a culture of accountability and ownership. Set the tone for technical excellence and user obsession across the org.

What We Look For

• 8+ years of experience leading distributed teams including managers in high-growth SaaS and API-first environments.
• Seasoned incident commander with hands-on experience leading P1/P2 response, running postmortems, and driving systemic fixes that prevent recurrence.
• Proven track record of reshaping support operations through AI, automation, and intelligent tooling.
• Strong technical proficiency such as but not limited to SQL, NQL, DDSQL, Powershell, Python, Terraform, Shell, Bash, Rest API.
• Solid understanding of AWS services including S3, CloudWatch, EKS, Kubernetes, ECS, EC2, Lambda, and Workspaces.
• Deep knowledge of support, DEX, observability and CRM platforms such as ServiceNow, Salesforce, DataDog, Nexthink.
• Excellent leadership & decision-making skills as well as project management experience with ability to execute across multiple priorities. 
• Exceptional communication skills with an ability to translate technical concepts into business value for executives and non-technical stakeholders.
• Familiarity with ITIL or similar frameworks with experience optimizing incident, change & problem management at scale.

#LI-LB2

 What you'll do:

We are looking for a Staff Engineer to serve as the technical domain owner for the Transaction Ledger & Treasury system within our FCM platform, accountable for the financial correctness, reconciliation integrity, and system-of-record architecture of our brokerage systems. This role will lead the evolution of our architecture, modernizing and consolidating ledger, fund movement, and reconciliation logic into a coherent, cloud-native foundation. You will also drive the thoughtful use of AI-assisted development and operational tooling to increase engineering leverage, improve review quality, and accelerate modernization without compromising financial correctness or regulatory integrity. These are mission-critical systems where every state transition must be financially correct, auditable, and resilient under failure—because design flaws directly impact customer funds, regulatory standing, and firm capital.

As a Staff Engineer, your work will have a profound impact on our core FCM infrastructure, directly influencing our business’s bottom line. You will set the technical standard for the FCM engineering organization: defining architecture patterns, establishing engineering best practices, mentoring and elevating the engineers around you, and making high-stakes design decisions that determine whether our platform scales to meet the demands of a rapidly growing, globally distributed customer base. You will partner closely with engineering leadership, product management, compliance, and brokerage operations to ensure that every system you design is auditable, resilient, and built to serve both customers and regulators.

In this role you will:

• Define and own the foundational architecture of NinjaTrader’s cloud-native FCM platform on GCP/Kubernetes, including concurrency models, data consistency guarantees, service boundaries, and integration contracts across clearing, risk, and reporting systems
• Architect systems that process high-throughput trade flows with deterministic behavior under concurrency, partial failure, and asynchronous clearing acknowledgments across a 24/7 trading window
• Serve as the technical north star for the FCM engineering team by conducting deep, meaningful code reviews, pairing on complex problems, and leading architecture and design sessions that elevate the engineering bar
• Establish and enforce best practices across the FCM platform, including API design standards, testing strategies (unit, integration, contract, chaos), observability and SLI/SLO frameworks, CI/CD standards, and infrastructure-as-code patterns
• Define what excellence looks like for regulated financial systems and hold the team accountable to those standards
• Champion the responsible use of AI-assisted coding, testing, and code review workflows to increase velocity and reduce defects while preserving strict financial and audit constraints
• Design compliance-critical systems where regulatory requirements are treated as first-class architectural constraints, embedding audit trails, segregation controls, and compliance checkpoints directly into platform design
• Partner with engineering leadership, including the CTO and Director of Engineering, to shape broader technical strategy and govern system-of-record architecture, ledger data models, fund movement APIs, reconciliation workflows, and cross-service balance interactions
• Represent the FCM platform in cross-functional architecture forums and drive alignment across teams
• Take ownership of the most complex and high-impact technical challenges, transforming ambiguous problems into well-defined, executable plans

What you'll need:

• 8–12+ years of progressive software engineering experience, with demonstrated impact at the Staff level or equivalent scope of influence
• Deep expertise designing, building, and operating large-scale distributed systems in cloud environments (GCP strongly preferred; AWS or Azure acceptable)
• Hands-on experience with Kubernetes, event-driven architectures, and infrastructure-as-code tools such as Terraform
• Strong proficiency in modern backend languages such as Python, C++, Go, or similar, with the ability to make thoughtful technology decisions grounded in trade-offs
• Experience leveraging AI-assisted development tools, including code generation, static analysis, and automated test synthesis, to increase productivity and system quality in production environments
• Experience in financial services, capital markets, or brokerage technology, including trade lifecycle systems, clearing and settlement, and building systems where correctness and auditability are non-negotiable
• Proven track record as a technical authority and mentor who has raised the engineering bar of their teams
• Experience designing distributed systems where financial correctness, reconciliation, segregation of funds, and audit integrity are non-negotiable architectural constraints
• Excellent communication skills with the ability to clearly articulate complex technical concepts to engineers and non-technical stakeholders
• Demonstrated ownership of initiatives end-to-end, from problem framing and design through implementation, deployment, and operational maturity

Bonus Points for:

• Direct experience at a futures commission merchant (FCM), clearing firm, or broker-dealer operating under CFTC/NFA or SEC/FINRA regulatory frameworks
• Experience with CME clearing operations or self-clearing implementations
• Familiarity with treasury and money movement systems, including ACH, wire transfers, fund hold logic, and account segregation
• Track record of leading successful platform modernization or cloud migration programs in regulated financial environments
• Passion for futures, derivatives, and trading technologies and for democratizing access to these markets for retail traders

Compensation:

The salary range for this role will be $160,000.00 - $210,000.00 USD. In addition, this position will also receive an annual target bonus of 12%. Bonus pay at NinjaTrader is based on individual performance (50%) as well as company/team performance (50%).

Salary and bonus earnings are only two components of the total compensation package offered by NinjaTrader. NinjaTrader offers a 401K plan through ADP under which the company will match up to 3.5% of employee contributions. Annual paid time off allowance accrues at a rate of 23 days per year (some positions may qualify for more) plus seven paid holidays.

Location:

This role is based in Chicago, IL. *There may be remote flexibility for exceptional candidates in the following states: California, Colorado, Florida, Georgia, Illinois, Indiana, Minnesota, Missouri, Montana, New Jersey, New York, North Carolina, Ohio, Oregon, Pennsylvania, South Carolina, Texas, Utah, Vermont, Virginia, Washington, Washington DC, Wisconsin.

Hybrid:

For Chicago-based employees, we follow a hybrid work schedule: In-office Tuesday through Thursday, with remote work on Mondays and Fridays. In addition to these weekly remote days, we offer:

• 20 additional flex remote days annually
• 5 Company Wide Office-Optional weeks tied to major holidays

What you'll do:

• Design, architect, and maintain a scalable, extensible Python-based test automation framework using PyTest  
• Define automation strategy and quality gates for back-office services and workflows  
• Write and maintain robust functional test suites for backend and service-layer applications  
• Evaluate existing test coverage, identify systemic gaps, and implement additional functional and integration tests 
• Develop integration tests across Python-based services, GCP Pub/Sub messaging systems, and Oracle databases  
• Design test data management strategies for complex distributed workflows  
• Implement mocks and stubs for middleware, databases, and third-party dependencies to enable isolated and deterministic testing  
• Partner with developers to build automation-friendly services and improve system observability and testability 
• Improve overall test reliability by identifying, debugging, and eliminating flaky tests  
• Lead code reviews for automation and proactively drive improvements in test coverage, maintainability, and engineering standards  
• Integrate automated test execution into CI/CD pipelines with single-click batch execution and automated reporting  
• Define and implement build certification and deployment validation processes across environments  
• Debug production issues using logs, database traces, and service telemetry to enhance test coverage and prevent regressions  
• Contribute to performance, resilience, and fault-tolerance testing strategies for distributed systems  
• Mentor QA engineers and developers on automation design principles, framework usage, and best practices  
• Enforce adherence to NinjaTrader SDLC and information security standards  
• Work ahead of feature delivery to ensure test architecture evolves alongside system complexity  

What you'll need: 

• 5+ years of experience in QA automation and software testing, with demonstrated senior-level ownership of automation initiatives
• Strong expertise in Python test automation frameworks such as PyTest (Robot Framework experience is a plus)  
• Proven experience designing automation frameworks from the ground up  
• Deep experience testing backend services, REST APIs, and distributed systems  
• Hands-on experience validating event-driven architectures using messaging platforms such as GCP Pub/Sub  
• Strong experience with relational databases (Oracle preferred), including data validation and complex query verification  
• Solid understanding of system testing methodologies, SDLC/STLC, and automation best practices  
• Experience designing and implementing integration testing strategies across asynchronous systems  
• Proficiency with Linux command-line tools and log analysis  
• Experience integrating automation into CI/CD tools such as Jenkins or GitHub Actions 
• Familiarity with infrastructure-as-code tools such as Terraform or Ansible  
• Experience testing cloud-native applications (GCP preferred)  
• Exposure to performance, load, or resilience testing in distributed systems 
• Financial trading systems experience is a plus  
• Excellent communication, collaboration, and analytical problem-solving skills  
• Demonstrated ability to mentor engineers and influence quality practices across teams 

Compensation:

The salary range for this role will be $100,000.00 - $150,000.00 USD. In addition, this position will also receive an annual target bonus of 10%. Bonus pay at NinjaTrader is based on individual performance (50%) as well as company/team performance (50%).

Salary and bonus earnings are only two components of the total compensation package offered by NinjaTrader. NinjaTrader offers a 401K plan through ADP under which the company will match up to 3.5% of employee contributions. Annual paid time off allowance accrues at a rate of 18 days per year (some positions may qualify for more) plus seven paid holidays.

Location:

This role is based in Chicago, IL. We are not open to remote candidates for this role. 

Hybrid:

For Chicago-based employees, we follow a hybrid work schedule: In-office Tuesday through Thursday, with remote work on Mondays and Fridays. In addition to these weekly remote days, we offer:

• 20 additional flex remote days annually
• 5 Company Wide Office-Optional weeks tied to major holidays

What you'll do:

We are seeking a Sr. Platform Engineer I to join our Platform Engineering team, focused on Developer Experience. In this role, you will design and build the tools, workflows, and golden paths that make engineers across the organization more productive. Your work will directly shape how teams build, test, ship, and operate software, removing friction, codifying best practices, and enabling self-service at scale. You will collaborate closely with product engineering, infrastructure engineering, and technical leadership to establish platform standards, create reusable service templates, and build internal tooling that accelerates delivery while maintaining quality and consistency across our web, mobile, desktop, and trading platforms.

In this role you will:

• Define and maintain golden paths for service creation, including service templates, starter kits, and scaffolding tools that let teams go from zero to production-ready with minimal friction
• Own developer onboarding workflows and maintain high-quality platform documentation
• Establish and evolve CI/CD pipeline standards across the organization
• Design release automation patterns, including rollout safety mechanisms such as canary deployments, progressive delivery, and automated rollbacks
• Build and maintain internal platform portals, reusable infrastructure modules, and paved-road workflows
• Enable product engineering teams to provision resources, configure environments, and ship features independently without reliance on other teams
• Champion platform adoption through clear documentation, enablement sessions, and a consultative approach
• Measure developer satisfaction and platform adoption metrics to continuously improve the experience
• Partner with product engineering, infrastructure, and operations teams to ensure platform tooling meets cross-platform needs
• Translate engineering pain points into scalable platform capabilities• Embed security and compliance requirements such as SOC2 and PCI-DSS into platform tooling and CI/CD pipelines

What you'll need:

• 8+ years in platform engineering, DevOps, or developer tooling roles with a strong focus on developer experience
• Deep experience building and maintaining CI/CD pipelines such as GitHub Actions, including release automation and deployment safety patterns
• Strong expertise with Kubernetes, Docker, and container orchestration in the context of self-service abstractions
• Proficiency in Python, Go, or Bash with experience building internal tools and automation
• Hands-on experience with Infrastructure as Code tools such as Terraform and Helm
• Experience with cloud platforms such as AWS, GCP, or Azure, including designing developer-facing abstractions
• Strong collaboration, communication, and documentation skills with a focus on internal developer experience

Bonus Points for:

• Experience building or contributing to internal developer portals such as Backstage
• Familiarity with platform engineering frameworks and a platform-as-a-product mindset
• Trading or financial services industry experience
• Contributions to open-source projects

Compensation:

The salary range for this role will be $165,000 - $180,000 USD. In addition, this position will also receive an annual target bonus of 12%. Bonus pay at NinjaTrader is based on individual performance (50%) as well as company/team performance (50%). Salary and bonus earnings are only two components of the total compensation package offered by NinjaTrader. NinjaTrader offers a 401K plan through ADP under which the company will match up to 3.5% of employee contributions. Annual paid time off allowanceaccrues at a rate of 18 days per year (some positions may qualify for more) plus seven paid holidays.

Location:

This role is based in Chicago, IL. *There may be remote flexibility for exceptional candidates in the following states: California, Colorado, Florida, Georgia, Illinois, Indiana, Minnesota, Missouri, Montana, New Jersey, New York, North Carolina, Ohio, Oregon, Pennsylvania, South Carolina, Texas, Utah, Vermont, Virginia, Washington, Washington DC, Wisconsin.

Hybrid:

For Chicago-based employees, we follow a hybrid work schedule: In-office Tuesday through Thursday, with remote work on Mondays and Fridays. In addition to these weekly remote days, we offer:

• 20 additional flex remote days annually
• 5 Company Wide Office-Optional weeks tied to major holidays

What We Do

• The Omnichannel team at The Trade Desk is pioneering a new approach to digital advertising — one built around telling a coherent story through ads, using the media best suited for each chapter. We work across the full ad tech stack, from identity to measurement to bidding, to deliver unified campaign experiences that span screens, formats, and moments. Our Software Engineers are end-to-end owners who participate in designing, building, and delivering data-focused products for our stakeholders.

What You'll Do

• Design and build systems that orchestrate advertising across channels, ensuring a unified narrative from first impression to conversion.

• Work across team boundaries — partnering with identity, measurement, and bidding teams to integrate their capabilities into cohesive omnichannel solutions.

• Own projects end to end, from early design through production rollout and ongoing operation.

• Translate ambiguous business requirements into concrete technical designs and execution plans.

• Deliver high-quality changes with automated tests, metrics, and monitoring.

• Collaborate with product managers and business stakeholders to define what success looks like and drive toward it.

• Mentor other engineers and contribute to a culture of trust, ownership, and technical excellence.

Who You Are

• You're comfortable owning things end to end — from scoping a problem to shipping and operating the solution.

• You communicate clearly with both technical and non-technical audiences, and you're effective working across teams with competing priorities.

• You thrive in ambiguity. Vague requirements don't slow you down — you translate them into actionable plans and iterate toward the right answer.

• You have 7+ years of software development experience.

• You have strong experience with distributed systems and backend development in a language such as C#, Java, or Python.

• You have a solid understanding of computer science and engineering fundamentals.

• You're comfortable working on an agile, distributed team spanning multiple time zones.

Nice to Have

• Experience with large-scale data processing (Spark, Airflow, Kafka, Flink).

• Familiarity with cloud infrastructure and orchestration tools (Kubernetes, Terraform).

• Experience in ad tech or with real-time bidding systems.

• Exposure to cross-channel measurement or identity resolution.

Position Overview:

Zynga is looking for a server-side engineer in the Austin, Chicago, Bay Area, or Toronto areas, and more specifically, someone whose level of experience should be equivalent to a Senior Software Engineer on the Wizard of Oz Slots.

We have a well-rounded and tight-knit, distributed team with a healthy mix of engineering skill levels, and are looking to strengthen our team.  We need a self-driven and motivated engineer who is a strong communicator, works well as a team player, and performs well under pressure of tight deadlines.  

The candidate would have an opportunity to work on critical game components that contribute to user-facing features, gameplay functionality, existing functionality & systems, and have a general focus on solving challenging problems for high profile titles. 

What You'll Do:

• Design, architect, and support back-end services running in AWS

• Develop, integrate, and advocate for new technologies and tools

• Load-test, benchmark and optimize infrastructure

• Define, architect, and develop features and gameplay functionality in PHP

• Maintain and develop CI/CD pipelines and infrastructure-as-code tooling

• Provide escalation support and infrastructure monitoring

• Follow engineering standard methodologies to ensure code quality, performance and reliability

• Work to identify and help to improve team and process inefficiencies

• Help to mentor other engineers

What You Bring:

• Degree in a technical field (e.g., Computer Science, Computer Engineering) or equivalent experience

• 5+ Years of backend software development experience

• Deep hands-on experience with cloud computing (preferably AWS)

• Experience maintaining and developing CI/CD pipelines and infrastructure-as-code tooling

• Experience with PHP 

• Experience building and operating high-traffic, low-latency backend systems at scale

• Strong familiarity and experience with database systems (SQL, NoSQL)

• Solid foundation in data structures, algorithms and software methodologies

• Strong communication skills and comfort working in a collaborative environment

Bonus Points:

• Prior game development experience (on shipped titles or live games experience)

• Experience with Chef, Terraform and/or Jenkins

• Experience in Vue.js or similar frontend frameworks

• Experience migrating monolithic architectures to distributed microservices

What We Offer You:

Zynga offers a world-class benefits package that helps support and balance the needs of our teams. To find out more about our benefits, visit the Zynga Benefits site

The pay range for this position in Ontario at the start of employment is expected to be between $96,400 and $142,660 CAD per Year.

The pay range for this position in California at the start of employment is expected to be between $108,900 and $161,160 per Year.

The pay range for this position in Illinois at the start of employment is expected to be between $98,100 and $145,200 per Year.

However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations.

Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. Regular, full-time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company’s discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness-related expenses. The use of Artificial Intelligence is not being used to screen candidates. The position is for an existing vacancy.

HPC Data Center Production Engineer
Location: Chicago or New York (On-site 5 days/week)
Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.
Trading Infrastructure is a global organization of Engineers who architect, build and maintain our world-class infrastructure. From colo design/implementation, to optimizing our exchange connectivity, to building world class low latent Wide Area Networks, we leverage research and automation to consistently adapt and innovate our infrastructure to scale and drive our trading and evolving business.
We are looking for an HPC Data Center Production Engineer to build and own the automation and tooling that powers Jump's HPC data center operations. This is a development-heavy role focused on automating the onboarding and lifecycle management of data center hardware—servers, switches, rack PDUs, CDUs, and environmental sensors—and building tools for capacity planning, outage simulation, monitoring, and metrics integration. You will work hand-in-hand with the HPC Planning, Engineering, and Operations leads to turn tooling and monitoring vision into production-ready systems. Heavy, daily use of AI tools is expected to accelerate development and raise the quality bar on everything you build.
What You'll Do:
Hardware Onboarding Automation

• Design, develop, and maintain automation to onboard new hardware devices into Jump's HPC data centers, including servers, network switches, rack PDUs, CDUs, and environmental sensors.

• Build end-to-end provisioning workflows that take hardware from racked-and-cabled through discovery, configuration, validation, and production-ready state with minimal manual intervention.

• Extend and adapt onboarding automation as new hardware platforms and device types are introduced.
  Data Center Tooling Development

• Develop tools for power and cooling capacity planning—enabling the operations and planning teams to model current utilization, forecast growth, and identify constraints before they become problems.

• Build outage simulation tooling to model the impact of power, cooling, or network failures across HPC facilities and validate redundancy/failover configurations.

• Develop and maintain operational tooling that supports day-to-day data center workflows such as hardware lifecycle tracking, data center inventory/spares, change management, and diagnostics.
  Monitoring & Metrics Integration

• Build and maintain monitoring integrations for HPC data center infrastructure—pulling telemetry from servers, switches, PDUs, CDUs, environmental sensors, and facility systems into centralized observability platforms.

• Integrate metrics feeds from colocation and data center providers into Jump's monitoring stack, normalizing data for alerting and capacity reporting.

• Work with the Operations Lead to implement the monitoring and alerting strategy, translating requirements into deployed, production-grade instrumentation.
  Cross-Team Collaboration

• Work very closely with the HPC Planning, Engineering, and Operations leads to understand tooling and monitoring needs and bring their vision to fruition.

• Partner with HPC Engineering on integration points between data center automation and compute/storage/network provisioning systems.

• Translate operational pain points and manual processes into automated, maintainable solutions.
  Systems Maintenance & Reliability

• Own the reliability and lifecycle of all systems and tools you develop—monitor for failures, respond to issues, and iterate based on operational feedback.

• Maintain comprehensive documentation for all tooling, automation workflows, and integrations.

• Participate in large, coordinated maintenance operations, including during evenings and weekends.
  AI-Driven Development

• Use AI tools daily across all aspects of the role: writing and reviewing code, analyzing data, debugging, generating documentation, and accelerating development velocity.

• Identify opportunities to apply AI to data center operations problems—anomaly detection, predictive capacity planning, intelligent alerting, and beyond.
  Additional duties as assigned or needed.
  Skills You'll Need:

• 5+ years of professional experience in production engineering, infrastructure automation, or site reliability engineering, preferably in HPC or large-scale data center environments.

• Proven track record of building and shipping production automation and tooling—not just scripts, but maintained, reliable systems.

• Experience automating hardware provisioning and lifecycle management (servers, network devices, power/cooling infrastructure).

• Strong understanding of data center infrastructure: power distribution, cooling systems (air and liquid), environmental monitoring, and structured cabling.

• Experience integrating with hardware management interfaces (IPMI/BMC/Redfish, SNMP, vendor APIs) for discovery, configuration, and telemetry collection.

• Demonstrates a high level of energy, results driven, and able to work under pressure with tight deadlines.
  Technical Skills:

• High proficiency in Golang and at least one additional language (e.g., Python). You will write a lot of code in this role.

• Strong Linux systems knowledge—you should live in Linux. Proficient with system administration, networking, storage, process management, log analysis, and troubleshooting at the OS level.

• Experience with Grafana for building dashboards, alerting, and visualization of infrastructure metrics. Experience with Prometheus, InfluxDB, or similar observability platforms and building custom integrations/exporters.

• Experience with configuration management and infrastructure-as-code tools (SaltStack, Ansible, Terraform, or similar).

• Solid understanding of networking concepts: L2/L3 protocols, VLANs, BGP, SNMP, and switch/router configuration (Arista, Cisco).

• Experience with APIs and data integration—consuming vendor APIs, normalizing heterogeneous data sources, building data pipelines for metrics and reporting.

• Experience with ClickHouse and MySQL—writing queries, designing schemas, and building tooling that reads from and writes to these databases.

• Experience with GitHub for version control, code review, CI/CD workflows, and collaborative development.

• Demonstrated heavy use of AI tools (e.g., LLM-based coding assistants, AI-driven analytics) in a professional setting. You should already be using AI daily and be eager to push its application further.

• A compulsion to perform root cause analysis.

• Excellent written and verbal communication skills with the ability to work across a global engineering team.

• Extremely high personal standards for work quality.

• Reliable and predictable availability, including ability to work evenings and weekends as required.

• Bachelor's degree preferred.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivizing collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

• You'll contribute to one or more of the following projects:
  • Production Trading Systems and Live Operations: Own the reliability, observability, and operational performance of the firm’s live trading environment during market hours. Monitor live systems in real time, act as a primary responder to production issues, and work closely with quantitative researchers and engineers to investigate, mitigate, and resolve incidents affecting trading, risk, or system stability.
  • Production Tooling, Deployment, and Operational Safety: Build and improve internal tools, dashboards, alerts, and automation to support live trading operations and reduce manual intervention. Design and maintain robust testing, deployment, rollout, and rollback processes for production changes, and strengthen production safety through health checks, failover mechanisms, and operational controls.
  • Microstructure research: Develop tools to enhance research on market microstructure, collaborating with researchers to generate and analyze key features.
  • Data Pipeline and System Management: Engage in full-cycle development, including research, coding, testing, and deploying systems into production. Provide direct support to end users, troubleshoot issues, and manage system upgrades.

• 2+ year track record of solving challenging problems through coding with real metrics & impact in industry.
• Strong software development skills in Python and/or C++, with the ability to build efficient, modular, and reliable systems.
• Strong production engineering skills in Linux environments, including troubleshooting, scripting, monitoring, and operating real-time systems under pressure.
• Experience with modern infrastructure and deployment practices such as CI/CD, Infrastructure as Code, containerization, and observability tooling is advantageous (e.g. GitLab, Jenkins, Terraform, Ansible, Docker, Kubernetes, Prometheus, Grafana).
• Strong learning ability, intellectual curiosity, versatility, and originality combined with a pragmatic outlook.
• Ability to reason through quantitative problems and communicate effectively with quantitative researchers and engineers.
• Reliable and predictable availability to ensure smooth operations of production systems, including responsiveness during trading hours when needed.
• Over two years of experience working with industrial-grade codebases using compiled languages such as C++ is advantageous.
• Familiarity with high-performance computing (HPC) and distributed large-scale systems is a plus.

Lead Cloud Engineer (P486)

Cincinnati / Chicago

SUMMARY

The Lead Cloud Engineer will help technology teams architect and operate cloud infrastructure on Microsoft Azure, applying Cloud Engineering principles and defining solutions where gaps exist. They will collaborate with teams to deliver cloud engagements that achieve business objectives, with a strong emphasis on Azure management, governance, and day-to-day operational excellence (identity, networking, security, cost, and reliability). The role owns primary responsibility for driving/evolving the Cloud Engineering team capabilities in Azure and Infrastructure as Code, including Terraform standards and reusable modules. The role is responsible for day-to-day operational response and problem resolution for referred incidents and is a participant in an on-call rotation.

RESPONSBILITIES:

• Prioritize referred incidents from the Service Desk, Engineering/Data Science projects and other technology teams and provide/guide problem resolution for those incidents, including managing any necessary vendor engagement and serving as escalation point for the team
• Own and improve Azure platform operations and administration, including subscription/resource organization, RBAC/identity integration, networking, security controls, monitoring, and cost management
• Responsible for managing and improving our Terraform ecosystem (Terraform Cloud/Spacelift, policy/standards, and reusable modules with best practices built in)
• Implement and enforce Infrastructure as Code workflows (code review, testing, CI/CD, drift detection, and remediation) to improve repeatability and auditability
• Responsible for input to and for meeting team SLO targets and collaboratively ensuring team objectives are met
• Independently define, prioritize and execute project tasks and plans to deliver cloud-related infrastructure and solutions
• Document work and solutions appropriately and review Cloud Engineering team documentation for accuracy/completeness
• Contribute technical/procedural ideas to Cloud Engineering team operations and define/execute strategies to integrate these solutions as appropriate
• Engage with other technology and infrastructure teams as necessary to complete tasks
• Responsible for one or more cloud-related technologies including complete ownership of all aspects of the technology (maintain, upgrade, train, mentor, document)
• Participate routinely in team on-call rotation

QUALIFICATIONS, SKILLS, & EXPERIENCE

• 4-year degree in a technology related discipline or equivalent work experience
• 5+ years of hands-on experience designing, administering, and operating production workloads in Microsoft Azure
• 5+ years of experience with Infrastructure as Code (IaC) and cloud automation
  • Required IaC deep tooling experience: Terraform/OpenTofu, module creation and management, and policy/guardrail application.
• 5+ years of experience with SDLC and working with Agile development teams
• Microsoft Azure Administrator Associate (or higher) certification preferred
• Experience with container technologies (e.g., Docker) and familiarity with Kubernetes/AKS are a plus
• Nice to have tooling experience:
  • Python or other high-level interpreted programming language
  • GitHub Actions
  • Helm
  • Datadog or other enterprise observability tool
  • Artifactory or other enterprise package management system
• Ability to manage small to medium size IT-related projects, solving related problems and working to tight deadlines while under pressure
• Strong interpersonal and communication skills with demonstrated experience leveraging these skills with technical teams and non-technical business units
• Desire to learn new technology and grow across different areas of technology
• Demonstrated ability to prioritize own workload with multiple responsibilities and adaptability to changes in those priorities

#LI-SSS

About Vibes 

Vibes’ mobile-first platform creates personal, revenue-driving and long-term mobile engagement between consumers and the world-class brands they love. Industry leaders like Chipotle, Kohl’s and Polo Ralph Lauren use Vibes to grow customer relationships with relevant, high-volume mobile messaging and mobile wallet marketing on a global scale. Vibes enables marketers to seamlessly connect with their customers using a data-rich and API-packed solution that beautifully optimizes and unifies their SMS, MMS, RCS and Mobile Wallet campaigns. To learn more about Vibes, visit www.vibes.com. 

Position Overview:

We are seeking a collaborative, proactive, and results-driven full stack Software Engineer to join our dynamic and primarily remote team. In this role, you will play a crucial part in the development and maintenance of our cloud-based applications, with a focus on both backend Ruby on Rails and frontend React development. Additionally, you will be responsible for deploying and managing infrastructure using Terraform and ensuring optimal performance and scalability on AWS cloud services.

An ideal candidate possesses a growth mindset, strategic thinking capacity, and strong communication skills. This role holds significant impact at Vibes during a period of exciting growth. In a world marked by constant change and uncertainty, one area that's growing rapidly is the digital consumer engagement space. Specifically, how brands establish personalized, 1-on-1 interactions with consumers at scale. This role places you at the heart of this exciting evolution in consumer engagement. If you're eager to build systems that offer large enterprises the latest innovations in mobile marketing technology and spread positive vibes, then you have an opportunity to thrive here.

This is a full-time, hybrid position based in the greater Chicago metro area, reporting to the Director of Platform Engineering. Vibes has been recognized in 2026 as a Built In Best Places to Work.

Responsibilities:

• Develop and maintain robust, scalable, and high-performance backend solutions using Ruby on Rails, incorporating serverless architecture, microservices, and BFF patterns.
• Design and implement responsive frontend interfaces using React.js/Typescript ensuring a seamless user experience.
• Collaborate with cross-functional teams to understand requirements, architect solutions, and deliver features within established timelines.
• Deploy and manage infrastructure components on AWS cloud using Terraform, ensuring reliability, security, and scalability.
• Troubleshoot and debug issues across the full stack, from frontend UI elements to backend database queries.
• Generalize in technology by maintaining broad knowledge about the entire system and the technologies used.
• Own systems by designing and implementing larger initiatives, owning the production operations and monitoring of the system, and being aware of its SLAs.
• Proactively support other team members and help them to be successful.
• Challenge team processes, looking for ways to improve them.
• Create an impact on the team as a whole vs. specific parts of it.

Requirements & Qualifications:

• Bachelor's degree in Computer Science, Engineering, or related field.
• 3+ years of professional experience as a Software Engineer, with a focus on full stack development.
• Strong proficiency in backend development using Ruby on Rails, with a solid understanding of object-oriented programming principles.
• Hands-on experience in frontend development using React.js, including state management with Redux or similar libraries.
• Proficiency in serverless architecture, microservices, and BFF patterns.
• Hands-on experience deploying and managing cloud infrastructure on AWS using Terraform or similar tools.
• Familiarity with containerization technologies such as Docker and container orchestration platforms is a plus.
• Passion for learning and staying updated on emerging technologies, best practices, and industry trends.
• Proven track record of driving innovation and implementing cutting-edge solutions.
• Dedication to delivering high-quality solutions that meet the needs of our clients and stakeholders, with a focus on usability, reliability, and scalability.
• Excellent problem-solving skills and the ability to troubleshoot complex issues across the full stack.
• Strong communication and collaboration skills, with the ability to work effectively in a fast-paced, team-oriented environment.
• Ability and willingness to travel to Vibes' downtown Chicago, IL, office several times a month.
• Authorized to work in the United States without the need for current or future employer sponsorship.

Our Core Values:

• Respect, Honesty, and Integrity for All Stakeholders
• Always be Learning
• Relentless Focus on the Customer
• Never be Satisfied
• Create Value
• Seek Accountability and Ownership

Compensation and Benefits
The compensation range for this role is $100,000 to $125,000. Final compensation will be determined by factors such as relevant work experience, skills, and certifications. Vibes offers a full slate of benefits from competitive salaries, options, medical, dental and vision coverage, short- and long-term disability, life insurance, 12 paid holidays, flexible vacation, summer Fridays, Winter Holiday break, commuter benefits, a 401(k) plan and match, and a paid parental leave program.

Equal Opportunity
Vibes is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law. Reasonable accommodations will be made to meet the requirements of the Americans with Disabilities Act and will be provided as requested by candidates taking part in all aspects of the selection process.

WHAT YOU'LL DO

Site Reliability Engineers (SREs) are responsible for keeping all internal-facing services and platforms running smoothly. In a nutshell, SREs ensure site uptime. SREs blend sensible system administrators and software engineers who apply sound engineering principles, operational discipline, and mature automation to the environments and infrastructure services we provide. We specialize in systems–whether it be networking, the Linux kernel, or some more specific interest in scaling–algorithms or distributed systems.

Our team helps to improve automation, infrastructure reliability, and empowers Braze’s other engineering teams to leverage the infrastructure products and platforms we create easily. Braze operates at a massive scale with over 3.3 billion monthly active users across our customers, collecting hundreds of billions of data points each month, and sending billions of messages to end-users daily. We use a diverse technology stack rooted in Ruby on Rails, MongoDB, Redis, Kafka, Kubernetes, and more. As a Senior Site Reliability Engineer at Braze, you will collaborate with your team and consumer engineering teams to continuously improve the infrastructure, automation, and tooling that build internal products from these technologies.

Main responsibilities:

• Partner with Braze’s engineering teams on:
• Architecting products to effectively utilize infrastructure platforms in a scalable, reliable manner
• Debugging reliability and scalability issues across all stack layers, including the products built using our infrastructure platforms
• Make monitoring and alerting alerts on symptoms and not on outages
• Ensure that Braze meets our strict enterprise-grade SLAs with customers
• Develop Braze’s internal platform infrastructure:
• Create Infrastructure as code using Chef, Terraform, and Kubernetes
• Develop deployment pipelines for applications in multiple languages using Docker, Kubernetes, etc
• Provide centralized/common tooling, services, and automation frameworks that are critical for scaling operations, capacity management, reducing operational pain, and improving the day-to-day workflow of Braze’s engineering teams
• Manage incidents:
• Be on a PagerDuty rotation to respond to availability incidents and provide support for other engineers
• Use your on-call shift to prevent incidents from ever happening
• Retrospect everything that happens to turn lessons into system improvements/changes, automation, etc

WHO ARE YOU

• 5+ years of experience as a Software, DevOps, or Site Reliability Engineer
• You think about systems - interfaces, boundaries, edge cases, failure modes, behaviors, specific implementations
• Have an urge to collaborate, document, and deliver quickly
• Collaborating across the global remote teams, often working asynchronously
• Document everything so you don't need to learn the same thing (or plan the same work) twice
• Delivering fast to delight our customers - even internal ones
• Have an enthusiastic, go-for-it attitude. When you see something broken, you can't help but fix it
• Have a desire to solve everyday challenges facing software engineers and automate their toil away
• Have an excellent ability to manage multiple tasks and expectations at once
• Know your way around Linux and Unix Shell.
• Have strong programming skills - Ruby and/or Go preferred
• Have experience with Docker, Kubernetes, Terraform, or similar IaC technologies
• Have experience with MongoDB, Redis, Kafka, Postgres, or similar data technologies

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $156,364 and $279,957/year with an expected On Target Earnings (OTE) between $172,000 and $306,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, Braze offers full- and part- time employees a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that all Braze employees own a piece of our company.

#LI-Hybrid

Job Description

Waltz Health is looking for a skilled Engineering Lead to drive the architecture, development, and delivery of core healthcare technology solutions across the organization. This role involves leading teams, mentoring engineers, and leveraging Microsoft Azure to accelerate our platform roadmap and improve healthcare outcomes through technology.

You will be reporting to the Sr. Director, Enterprise Architecture & Data.  You will be responsible for:

• Own architecture and delivery of marketplace platform applications across Microsoft Azure, including App Services, Azure Functions, AKS, and supporting platform services.
• Manage and mentor engineering teams; set goals, coach career growth, and foster a high-performance, inclusive culture.
• Partner with Product, Architecture, and Business stakeholders to define API-first roadmaps and translate requirements into executable plans.
• Oversee SDLC from design to deployment and support, review customer feedback and operational metrics for continuous improvement.
• Collaborate with clients on custom requirements and integration architectures that are simple, secure, and cost-effective.
• Design, develop, and maintain CRM/workflow automation solutions; enforce data integrity, security, and compliance.
• Lead API-led integrations using an enterprise integration platform (iPaaS); define integration patterns and SLAs.
• Architect, implement, and maintain scalable, secure, and highly available Azure cloud infrastructure and platform services, including CI/CD pipelines, infrastructure-as-code (e.g., Terraform), compute (AKS), storage, data services, and integration capabilities.
• Architect and implement microservices using Spring Framework and Azure-native services.
• Establish standards for REST/GraphQL API design, versioning, documentation, and governance (policies, rate limiting, security, observability) using tools such as Azure API Management and Azure Monitor/Application Insights.
• Work with Product to define objectives, success metrics, and release plans for platform features; drive agile, iterative delivery.
• Mentor and guide engineering teams, establish best practices, and foster a technology-agnostic mindset.
• Deliver simple, cost-effective solutions for complex integration and business challenges.

In the first 90 days, you will:

• Ramp up on the Waltz platform, enterprise application landscape, integration architecture, and Microsoft Azure cloud infrastructure.
• Establish API-first practices and governance; prioritize integration backlogs.
• Deliver initial microservices and integration use-cases focused on data ingestion, transformation, pricing, and platform interoperability.

You will be successful because you:

• Clear communicator, strong collaborator across levels.
• Enthusiastic, adaptable, and outcome-oriented in a fast-moving environment.
• Passion for improving healthcare through technology.

You have these qualifications and skills:

• Bachelors/Degree in Computer Science or other technology field.
• Deep hands-on experience building scalable, secure applications on Microsoft Azure using .NET (C#, ASP.NET) and/or Java (Spring Framework).
• Microservices using Spring Framework and an enterprise integration platform (API-led connectivity, reusable assets, policy management).
• API-first designs and API Governance (standards, security, versioning, documentation, monitoring).
• Product development (backlog shaping, MVP definition, outcome-based metrics).
• Integration architecture across CRM/enterprise applications, cloud services, and data platforms; experience delivering simple, cost-effective solutions for complex problems.
• Technical leadership and mentoring teams; proven experience leading engineers and establishing best practices.
• Technology agnostic mindset—able to select the right tool for the problem and balance build vs. buy decisions.
• 5+ years in software engineering, 2+ years in technical leadership/people management.
• Bachelors in CS/IT/Engineering; Master’s preferred.
• Experience with CRM development/customization plus integration experience (API design, OAS/OpenAPI, connectors, workflows).
• Proficient in one or more modern programming languages; strong experience with React or Angular preferred.
• DevOps/CI-CD and infrastructure-as-code experience (e.g., Terraform); hands-on with data integration and ETL/ELT pipelines (e.g., Azure Data Factory, dbt, Talend).
• Deep SQL knowledge; experience with relational databases (e.g., Postgres) and cloud data warehouses (e.g., Snowflake).
• Experience building and operating cloud applications; exposure to Azure Cognitive Services, Azure OpenAI, and/or TensorFlow is a plus.

RAPP Chicago is looking for a Senior DevOps Engineer to join our award-winning Technology team.

WHO WE ARE:

We are RAPP – world leaders in activating growth with precision and empathy at scale.

As a global, next-generation precision marketing agency we leverage data, creativity, technology, and empathy to foster client growth. We champion individuality in the marketing solutions we create, and in our workplace. We fight for solutions that adapt to the individual’s needs, beliefs, behaviors, and aspirations.



We foster an inclusive workplace that emphasizes personal well-being.

HOW WE DO IT:

At RAPP, our fearless superconnectors help to create value from personal brand experiences by focusing on three key areas: connected data, connected content and connected decisioning.


Our data analysts identify who that person is, our strategists understand what they want, and our award-winning technologists and creatives know how to deliver it – ensuring we’re able to activate authentic customer connections for our clients.


Part of Omnicom’s Precision Marketing Group, RAPP is comprised of 2,000+ creatives, technologists, strategists, and data and marketing scientists across 15+ global markets

YOUR ROLE:

 As a Sr. DevOps Engineer, you serve as a key player in Technology solutions for our clients and within the agency. You work with the Infrastructure Automation and Tools team (IAT) in implementing tools and infrastructure that facilitates efficient software development/ process and operations.  From setting up a continuous integration/delivery environment to speeding up software deployment and release process, to maintenance of the cloud infrastructure.

YOUR RESPONSIBILITIES:

• Accountable for communicating the DevOps best practices with other development teams and helping them in the implementation thereof.
• Dedicate at least 50% of time automating systems and processes.
• Work with IAT Engineers in the implementation of infrastructure, security and tools that are needed for delivery of software applications and services.
• Work with IAT Lead in analyzing, executing, and streamlining DevOps practices.
• Introduce new tech stacks for experimentation while maintaining a controlled delivery process.
• Research and investigate technology solutions, demonstrate their efficiency by putting together proofs of concept and sharing these with the team.
• Thoroughly research and troubleshoot technical issues. Derive pragmatic, effective solutions, resolve issues, and document the resolutions.
• Implement infrastructure and security solutions on the cloud, and help service them long-term

REQUIRED SKILLS:

• 7+ years of experience in an infrastructure, development, architecture, and operations role.
• Demonstrated experience implementing DevOps solutions for a complex cloud native environment.
• Hands on experience with CI/CD tools such as Jenkins, CodeCommit, CodeBuild, CodeDeploy or equivalent.
• Hands on experience deploying infrastructure with IaC such as Cloudwatch or Terraform.
• Hands on implementation of a Cloud Native environment using AWS; familiarity with GovCloud would be a bonus.
• Strong experience with deploying services through IaC such as AWS RDS, EC2, ECS/EKS, S3, API Gateway, Bastion Hosts, messaging (Kafka), identity and security management (IAM, Cognito, Okta etc.), Configuration and Secret Management (Secrets Manager, Config, SSM, KMS etc.).
• Strong development experience with Python or similar shell scripting language
• Experience with networking and CIDR management and troubleshooting.
• Experience with declarative configuration management tool(s) like Chef, Salt, Puppet, etc.
• Experience with infrastructure automation using tools like Terraform, CloudFormation, etc.
• Experience with and belief in SCRUM/Agile methodology.
• Ability to work collaboratively with developers, project managers, and a QA team to enable them in the development process.
• Able to thrive independently given direction and objectives.
• Strong requirements gathering skills and creative problem solving.
• Personal drive to meet deadlines and deliverables is a must.
• Excellent oral and written communication skills.
• Effective team leadership skills to inspire them to achieve goals through innovation, quality and excellence.
• Recognizes the value that different perspectives and cultures bring to an organization and seeks to understand those different perspectives and cultures.
• Contributes to a work culture where differences are valued and supported.

Our hybrid work model:

RAPP's current hybrid model is designed to enable in-person connections and collaboration that is core to our culture, while also supporting flexibility for all employees. As such, we have the option to work from home two days per week, if we'd like. 

RAPP provides a competitive salary and comprehensive benefits plan. Benefits for this role include health/vision/dental insurance, 401(k), stock options, Healthcare & Dependent Flexible Spending Accounts, vacation, sick, and personal days and positive activism days, paid parental leave and disability benefits. For more information regarding Omnicom benefits, please visit www.omnicombenefits.com. A reasonable estimate of the salary for this role, at the time of posting, is $135,000 - $162,000. This range is specific to Chicago and multiple factors are considered in making compensation decisions including, but not limited to: skill set, experience and training, certifications; etc. This is an exempt position. If your requirements fall outside of this range, you are still welcome to apply.

“As an EEO/Affirmative Action Employer all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status.”

NOTE:  This job description is not intended to be all-inclusive. Employee may perform other related duties as negotiated to meet the ongoing needs of the organization.

☁️ Senior DevOps Engineer (Azure) | Envoy Global

Envoy Global is building secure, scalable technology that powers global mobility. We’re hiring a Senior DevOps Engineer with deep Azure expertise to help own and evolve our cloud infrastructure, CI/CD pipelines, and platform reliability at scale.

🔹 What You’ll Do

• Architect, operate, and optimize Azure‑based CI/CD pipelines (Git, Azure DevOps, MS Build, Terraform, ARM/Bicep)
• Own Azure infrastructure and platform services including Azure SQL, Service Bus, Key Vault, Blob Storage, and AKS
• Design highly available, cost‑efficient systems supporting 24x7 production workloads
• Partner with Engineering, Data, and InfoSec to embed security, automation, and reliability into the platform
• Lead incident response, disaster recovery planning, and release management
• Mentor DevOps engineers and act as an escalation point for complex platform issues

🔧 What You Bring

• 4+ years of hands‑on Azure‑focused DevOps / Platform Engineering experience
• Strong Infrastructure‑as‑Code skills (Terraform, ARM/Bicep)
• CI/CD expertise supporting .NET and SQL Server deployments
• Experience with AKS, monitoring/observability (Datadog, Splunk, ELK), and cloud security
• Ownership mindset, strong communication skills, and comfort operating critical systems

🌍 Why Envoy Work on mission‑critical Azure platforms, influence architecture decisions, and collaborate with global engineering teams in a high‑impact, purpose‑driven environment.

This position is 100% remote, working from home, within the United States.

Salary Range: $135,000-$150,000

Notice at Collection for California Applicants:
http://www.envoyglobal.com/notice-at-collection-for-ca-applicants

#LI-Remote

Lead API Platform Engineer (Cincinnati / Chicago) P181

About 84.51°

84.51° is a data science and technology company (owned by Kroger) that turns customer data into decisions that improve how people shop. Engineers here work with modern cloud and data tech at meaningful scale, alongside product, data science, and business teams.

The role

We’re hiring a Lead API Platform Engineer to join our Application Delivery team within Platform Engineering. This is an individual contributor (IC) technical lead role, owning the API gateway experience end-to-end — from pre-production through production. You’ll help shape technical direction, mentor engineers, and continuously improve our on-call/escalation rotation — participating and fielding gateway-related production issues when on rotation.

If you meet most—but not all—requirements, we still encourage you to apply.

What you’ll do

• Own our gateway platforms: Maintain and evolve our Kong Enterprise API Gateway and Azure Application Gateway configurations, standards, and best practices—and help design what’s next.
• Strengthen API security: Implement and promote API security standards, including OAuth2, JWT, and SAML, along with access controls and encryption.
• Improve reliability and performance: Monitor, troubleshoot, and optimize using Datadog. Tune latency, caching behavior, and rate limiting to support high-performing APIs.
• Automate delivery: Build and maintain automation and CI/CD workflows (using GitHub Actions) for gateway deployments and policy/configuration updates.
• Enable great developer experience: Improve how teams build and test APIs by standardizing gateway onboarding, providing self-service patterns, and supporting reliable local development workflows (e.g., local gateway tooling, mock/test routes, and clear “run it locally” docs).
• Shape work for success: define and decompose scope into ready-to-build requirements (clear user stories and acceptance criteria), aligning on delivery standards, and proactively removing blockers to keep execution on track.
• Support production operations: Provide L2/L3 support, participate in an on-call rotation, lead root-cause analysis, and drive permanent fixes.
• Collaborate and document: Partner with development, QA, security, and architecture teams. Create clear documentation, SOPs, and onboarding materials to help teams ship confidently.

What we’re looking for

• Bachelor’s degree (Master’s degree desired) typically in Computer Science, Management Information Systems, Mathematics, Business Analytics or another technically strong program.
• 5+ years of hands-on experience operating API gateways in production environments (especially Kong)
• Strong API fundamentals (REST, JSON) and security best practices
• Experience working in a public cloud environment, plus solid networking knowledge (DNS, firewalls, load balancers) – Azure preferred but not required
• Comfort scripting and/or coding in one or more languages (e.g., Python, Shell, Java, Node.js)
• Familiarity with DevOps/Agile practices, Docker/Kubernetes/Helm, and Terraform (or other IaC tools)
• Clear communication skills and a collaborative mindset in a fast-moving environment

#LI-SSS

Director, Software Engineering – Agentic Foundations (P4474)

PREFERRED LOCATION: Cincinnati / Chicago

SUMMARY:

The AI Enablement team at 84.51° is seeking a Director of Software Engineering for its Agentic Foundations team. This team is responsible for designing, developing, and maintaining the agentic backbone of the Kroger enterprise, including platforms, patterns, and tools to support the best practice development of AI agents.

The Director of Engineering requires a unique mix of software engineering and AI skills necessary to lead the technical design of platforms, patterns, and tools to support the enterprise agentic ecosystem. This role has a focus on providing the technical leadership needed for engineering and data science development teams implementing solutions like agent/MCP/scorer/prompt registries, agent-related tools to aid in the development and monitoring of best practice agents and tools, and managing low-code and no-code agent platforms that integrate with agentic support.

RESPONSIBILITIES:

• Partner with the Director of Product Management for Agentic Foundations to jointly lead the space for the Kroger enterprise
• Lead and manage a team of engineers, guiding them in the design and development of their product/platform areas and in the management of their own reports
• Lead and manage hiring efforts for engineers on the Agentic Foundations team, including finding interview panelists, writing interview guides and questions, and assisting with coding screening questions
• Own and manage offshore reliability engineering teams
• Provide in-depth technical leadership in the scoping and implementation of enterprise-grade solutions to support agents across the Kroger enterprise
• Provide operational leadership across agentic platforms, ensuring enterprise-grade reliability, observability, and incident management
• Maintain an up-to-date expertise on agentic workflows, frameworks, platforms, and best practices to identify and inform new capabilities for implementation
• Foster a collaborative and innovative team environment, encouraging professional growth and development among team members
• Reduce the development time of the team by leveraging agentic SDLC tooling provided by the enterprise
• Lead the abstraction of tooling and services to user-friendly interfaces like APIs, Python packages, or UIs
• Understand business requirements and trade-off scale, risk, and accuracy to maximize value and translate research into consumable products or services
• Guide the development teams to follow software development standards, including version control, documentation, testing, and support
• Make time-sensitive decisions and solve urgent problems without escalation

QUALIFICATIONS, SKILLS, AND EXPERIENCE:

• 7+ years professional experience with cloud-based software architecture focused on scalability, performance, and reliability
• 7+ years professional experience with end-to-end SDLC leveraging CI/CD and AIOps/MLOps, including experience with agentic SDLC tooling
• 7+ years professional experience with large-scale AI/ML systems, including 2+ years with GenAI and deep learning methods
• Professional experience with production-grade agentic systems, including concepts like design and development, evals, deployment, and monitoring
• Professional experience with AI/ML frameworks and tooling (PyTorch, OpenAI SDK, LangChain, autogen)
• Professional experience with AIOps/MLOps tooling and concepts (MLflow, Model Registry, Model Monitoring)
• Professional experience with scaling and deploying AI/ML systems using tooling in Microsoft Azure and Google Cloud, including CI/CD, containerization, orchestration, and API development (in particular FastAPI)
• Professional experience with Kubernetes (AKS) and Helm
• Professional experience with Python
• Professional experience with infrastructure-as-code using Terraform
• Professional experience leading technical teams and consulting with customers, including managing senior engineers, communicating complex technical topics, and driving outcomes in ambiguous environments
• Skilled in partnering with product management peers to jointly define product and team direction and priorities
• Education: Bachelor’s degree or higher in Software Engineering, Computer Science, Machine Learning, or a related field

#LI-SSS

#LI-Remote

Geneva Trading is seeking a Mid-Level System Engineer to join our Core Infrastructure team in Chicago. This is a high-impact role where you will manage the intersection of elite hardware, Linux optimization, and low-latency networking. You will be responsible for ensuring our global trading platform remains performant, resilient, and highly automated.

Key Responsibilities

• Linux Infrastructure: Provision, configure, and maintain high-performance Red Hat/CentOS/Ubuntu environments.
• Automation & Orchestration: Build and maintain Infrastructure as Code (IaC) pipelines using Ansible, Terraform, or SaltStack.
• System Tuning: Fine-tune BIOS, kernel settings, and NICs (Solarflare/Mellanox) to squeeze every microsecond out of the stack.
• Network Integration: Collaborate with the Network Engineering team to manage high-bandwidth, low-latency trading paths.
• Monitoring: Proactively monitor system health and latency metrics using Prometheus, Grafana, or Telegraf.
• Hardware Lifecycle: Manage the deployment and troubleshooting of enterprise-grade bare-metal servers (Dell, HP, Supermicro).

Soft Skills & Communication

• Crisis Composure: Ability to remain calm and focused during high-volatility market events or system outages.
• Trader Interaction: Translate complex technical issues into concise updates for non-technical stakeholders (Traders and Quants) in real-time.
• Collaboration: A proactive communicator who documents "post-mortems" and shares knowledge across the engineering team to prevent recurring issues.

Required Skills & Qualifications

• Advanced Linux: Deep knowledge of the Linux kernel, system internals, and performance profiling tools.
• Scripting: Strong proficiency in Python or Bash for building tools and automating workflows.
• Server Architecture: Experience with modern server hardware, including CPU pinning, NUMA, and PCIe optimization.

Preferred Qualifications 

• Certifications: CCNA (Cisco Certified Network Associate) or equivalent networking knowledge.
• HFT Experience: Previous experience in a high-frequency trading or high-growth fintech environment.
• Low-Latency Tech: Exposure to kernel bypass (Onload), PTP (Precision Time Protocol), or FPGA integration.

Compensation

Base Salary Range: $100,000 - $150,000, plus eligibility for a performance-based bonus.

Final compensation will be determined based on the candidate’s skills, experience, education, and qualifications. In addition to base salary, Geneva Trading offers a competitive total rewards package, including a comprehensive benefits program. Learn more about our employee incentives here: https://www.genevatrading.com/employee-incentives/

Application expected to close: 6/01/2026

Radix Trading is seeking a seasoned HPC Systems Engineer with a passion for Linux, HPC systems and research infrastructure to join us. This role requires the ability to quickly troubleshoot and resolve technical issues, navigate networking and system alerts, and collaborate with internal teams and external partners. The ideal candidate is a self-starter that has experience leading projects end-to-end, fluency in scripting languages, and a proven track record of solving complex technical problems.

Job Functions:

• Own monitoring and performance tuning across HPC applications, SLURM job scheduler, networking, storage, and hardware to optimize workload efficiency.
• Perform root-cause analysis to develop sustainable automated solutions.
• Support and troubleshoot alerts and errors with savvy communication skills to interact with external entities and internal counterparts.
• Keep up communication with new and existing external vendors on technical infrastructure work.
• Keep up communication with new and existing external business interfaces --- day-to-day operation, planning connectivity, and exchange upgrades.
• Oversee communication with others internally - project management across different functions to plan exchange upgrades, hardware refreshes, and other improvements/rollouts.
• Build out and support research, trading, and enterprise infrastructure.

Qualifications:

• 5+ years of HPC system administration/architecture including RHEL/CentOS/Rocky Systems
• Experience with job scheduler and resource management tools such as SLURM, Moab, or Torque
• Knowledge of network storage systems such as DDN, IBM SpectrumScale, NetApp, Weka, or Vast
• Knowledge of parallel file systems such as Lustre or Spectrum Scale (GPFS)
• Experience working with InfiniBand and high-speed Ethernet
• Hands-on experience with configuration management tools such as xCAT, Ansible, Salt, and Terraform
• Exposure to bare metal provisioning — including DHCP, DNS, PXE Boot
• Competence in Python, able to edit and create scripts

The Strategic Enterprise Account Executive role is an outside sales position responsible for developing, managing, and closing business for Strategic Enterprise customers in the North America region and is an integral part of the field sales organization. This person will partner with our demand generation, solutions engineering, and product teams to guide prospective customers through a solutions sales journey of modernizing their cloud platform architecture.  This position will require you to develop a deep understanding of the specific challenges customers are facing to help them positively achieve their business outcomes with Upbound’s solutions. 

This role will work cross-functionally with product, marketing, sales development and customer success to provide a tight-knit customer relationship, account leadership and direction in both the pre-sales and post-sales processes.

In this role, you will:  

• Carry a sales quota that aligns with Upbound’s revenue goals.
• Function as the primary point of contact and the face of Upbound for new prospects and customers.
• Conduct sales activities including prospecting and developing opportunities within existing customer accounts.
• Manage complex strategic enterprise sales motions with multiple prospect engagement points.
• Ensure the successful rollout and adoption of Upbound products and services in partnership with pre-and-post sales engineering and support.
• Take ownership of your business by documenting the buying criteria, process, and owners to ensure pipeline accuracy.
• Look for and implement improvements to sales processes, tools, and materials.
• Travel to customer sites and industry conferences and events as needed.

You are a good fit if you have:

• Proven track record of consistently meeting or exceeding assigned annual/quarterly goals and targets and consistently ranked top 1-2 on your team.
• Sold to large enterprise G2K companies and adept at navigating global, multi-national organizations.
• Sold AI, Cloud, or Infrastructure platform oriented products.
• Experience in solution and value selling in the enterprise cloud, cloud-native, and AI product spaces
• Correctly estimate qualifying opportunities based on MEDDICC.
• Drive to build a business, hunger to find and close deals, and pride in the growth of the business.
• Relentless focus on customer success and meeting the needs of present and future customers.
• Experience building positive professional relationships with senior IT and business executives.
• Clear and articulate written, verbal, online, and in-person communication skills.
• Professionalism, polish, attention to detail, and strong follow-up.
• A collaborative mindset and willingness to help solve problems outside of your immediate lane.
• Fun in your job and enjoy what you do.

It’s a plus if you: 

• Strong understanding of cloud-native infrastructure, AI solutions, and/or Infrastructure as Code tooling (Terraform, Ansible, Chef).
• Significant experience selling disruptive technology into focused markets.

 #LI-REMOTE

About this position:

As a Senior Security Engineer at Later, you will play a critical role in strengthening and scaling the security foundations that power our platform. This role blends deep security expertise with hands-on engineering, with a particular focus on identity and access management, authentication systems, and secure-by-design development practices.

You’ll partner closely with Engineering, Infrastructure, and Product teams to embed security into our CI/CD pipelines, internal platforms, and customer-facing systems—enabling teams to move quickly while keeping our systems, data, and users safe. This is a high-impact individual contributor role for someone who thinks like a defender, builds like a software engineer, and leads through influence.

What you'll be doing:

Strategy

• Assess and continuously improve Later’s security posture across applications, infrastructure, and development workflows
• Define and implement scalable security standards, guardrails, and best practices that support compliance through automated and auditable solutions
• Partner with Engineering and Product leadership to align security priorities with business objectives and delivery timelines
• emerging risks and proactively design systems and processes that reduce long-term exposure

Technical/ Execution

• Own identity and access management across Later’s platform, including authentication, authorization, and secure machine-to-machine (M2M) processes
• Design, implement, and maintain secure authentication systems for both internal tools and customer-facing experiences
• Harden login systems, establish consistent authentication patterns across services, and ensure secure integration between tools
• Build and maintain internal security tooling to support secure development, operational visibility, and compliance workflows
• Embed security controls into CI/CD pipelines, including SAST, DAST, SCA, container scanning, secret management, and secure build/deploy practices
• Partner with engineering teams to identify vulnerabilities, clearly communicate risk and impact, and drive effective remediation

Team / Collaboration

• Provide pragmatic, solution-oriented security guidance during system design and architecture reviews
• Collaborate cross-functionally to embed security into development workflows without slowing delivery
• Translate complex security concepts into clear, actionable recommendations for both technical and non-technical stakeholders
• Act as a trusted partner to engineering teams, balancing risk mitigation with business enablement

Leadership

• Lead by influence—raising the security bar through standards, tooling, and mentorship
• Set a high standard for secure engineering practices and help others level up their security mindset
• Model accountability, ownership, and transparency in security decisions

Research/Best Practices

• Stay current on application security, cloud security, and identity best practices
• Apply industry frameworks (e.g., OWASP, NIST, CIS Controls) pragmatically within production environments
• Continuously evaluate and improve identity architecture and security automation to scale with the business

Nice to have:

• Experience designing or migrating identity architecture at scale
• Experience building internal developer security tooling
• Experience working in a high-growth technology environment

What success looks like:

• Identity and access management is secure, scalable, and consistently implemented across the platform
• Security controls are embedded into CI/CD pipelines, reducing manual effort and improving detection and prevention
• Engineering teams proactively consider security in their designs and view security as an enabler—not a blocker
• Vulnerabilities are identified early, clearly prioritized, and remediated efficiently
• Compliance frameworks (e.g., SOC 2, ISO 27001) are supported through automation and well-defined processes
• Later’s overall security posture measurably improves while maintaining speed of product delivery

What you bring:

• 5–7+ years of experience as a Security Engineer or Software Engineer with a strong security focus
• Proven experience building and operating production-grade software, systems, or internal tooling
• Strong background in application security, infrastructure security, and secure CI/CD practices
• Hands-on experience with identity and access management, including authentication systems, authorization frameworks, and machine-to-machine security patterns
• Experience applying security frameworks such as OWASP, NIST, or CIS Controls in real-world production environments
• Familiarity with cloud security tooling (AWS Security Hub, Azure Security Center, or GCP Security Command Center), SIEM/SOAR tools, and Infrastructure-as-Code security scanning (Terraform, CloudFormation)
• Experience supporting compliance frameworks such as SOC 2 and ISO 27001
• Familiarity with modern backend systems (including C#) and cloud-native architectures
• Demonstrated ability to collaborate cross-functionally and influence engineering teams to improve security outcomes
• Strong communication skills with the ability to translate complex security concepts into clear, actionable guidance

How you work: 

• Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.
• Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights.
• Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement.
• Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high.
• Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth.
• Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity.

Our approach to compensation:

We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.

Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only.

To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. 

Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package.

Salary Range: 

$ 145,000 - 175,000 

 #LI-Hybrid

Data Architect – Inspire11 
 

Elevens, as we call ourselves here, are curiously smart, purposefully scrappy, and dedicated to the highest standard of quality. By being true to ourselves and others, we create a respectful environment that enhances collaboration, drives growth through high expectations, and ensures alignment with our core values. Inspire11 is more than a modern business and technology consulting firm; we're a revolution. We work differently — and it shows. Every move we make is tied to measurable value, and our success aligns with our clients’ success. We partner to simplify the complex, solve sustainably, and stay ahead by continuously pushing our own thinking forward. Value creation isn't something we talk about — it's something we live, every day.  

At Inspire11, we're not just offering a job; we're providing a platform for you to transform the future. You'll feel right at home here if you think differently, build boldly, and lead with impact. We're a place where your unique perspective is valued, your boldness is celebrated, and your potential is unleashed. 

• Growth Through Challenge:  We hold ourselves to the highest standards of excellence and accountability. At Inspire11, we are committed to delivering exceptional results and empowering our employees to take ownership of their work and drive meaningful impact. You'll work alongside elite consultants who challenge you to expand your skills and think even more creatively. 

• The Autonomy to do Your Best Work: Here, outcomes matter more than outputs. It's about the value we create. You'll have the autonomy to shape your work, drive decisions, and make an impact—not just for our clients but for your growth. You'll be challenged to think strategically, anticipate needs, and solve problems. Bold thinking, creative approaches, and challenging conventional wisdom are part of our DNA. Our clients rely on us to lead them into what's next. 

• Diverse Perspectives Driving Innovative Solutions: We champion inclusivity and authenticity, knowing that diverse perspectives drive better solutions. You'll be encouraged to bring your whole self to work, knowing that's where true innovation happens. We also believe that doing great work should be fun. Our culture thrives on energy, camaraderie, and appreciating the unique contributions that make Inspire11 an amazing place. Our teams get energy from being the best they can be. 

What you can expect in this role:
As a Data Architect, you will design the technical backbone of our clients’ data ecosystems—enabling scalable analytics, AI, and automation. You’ll lead the architecture of modern data platforms, shape technical strategy, and ensure secure, reliable delivery across complex environments. 

• Design and implement cloud-native data architectures across AWS, Azure, GCP, and Databricks to support advanced analytics and AI solutions.
• Lead the architecture of end-to-end ELT/ETL pipelines using SQL and Python, connecting structured and unstructured data sources into unified models.
• Build and optimize enterprise data platforms, including data lakes, warehouses (Snowflake, Redshift, Synapse, BigQuery), and semantic/dimensional models.
• Ensure data privacy, security, and compliance, incorporating masking, tokenization, retention policies, and metadata-driven governance frameworks.
• Implement infrastructure-as-code, CI/CD pipelines, and testing frameworks to drive scalable, automated, and resilient deployments.
• Conduct deep data profiling and validation, shaping architectural decisions based on source quality, lineage, and business context.
• Translate business needs into scalable designs, using source-to-target mappings, conceptual wireframes, and technical documentation.
• Identify opportunities to integrate AI and machine learning, leveraging practical use cases such as intelligent data quality, metadata automation, and ML feature stores.
• Support client engagement and pre-sales, presenting architectural strategies, influencing decisions, and mentoring delivery teams. 

Tools for success:
The ideal candidate combines deep technical expertise with a strategic mindset and the ability to lead clients and teams through complex transformations. You should bring: 

• 8+ years of experience in data architecture, data engineering, or enterprise cloud platform design.
• Advanced proficiency in SQL and Python, with hands-on experience building scalable ELT/ETL solutions.
• Deep familiarity with cloud data platforms, including Snowflake, Databricks, Redshift, Synapse, BigQuery, and related tools.
• Expertise in data modeling (relational, dimensional/star schema), metadata management, and performance optimization.
• Strong understanding of DevOps and infrastructure-as-code, including Git, Terraform, CI/CD pipelines, and automated testing.
• Working knowledge of AI/ML, with the ability to identify where intelligent automation or predictive modeling can enhance architectural solutions.
• Excellent communication and consulting skills, with the ability to explain complex technical designs to non-technical stakeholders.
• Proven leadership in technical strategy, solution design, and team mentorship in a dynamic consulting environment.
• This role requires the willingness and ability to be onsite at the Inspire11 or client location depending on project needs to maximize in-person collaboration and build stronger relationships. 

Inspire11 is unable to sponsor employment visas at this time. Applicants must be legally authorized to work in the U.S. at the time of application and throughout the duration of employment. 

Inspire11’s Privacy Policy: https://www.inspire11.com/privacy-policy/  

U.S. Compensation & Benefits  

Compensation at Inspire11 
Inspire11 follows Title VII of the Civil Rights Act of 1964, the Equal Pay Act of 1963, the Illinois Human Rights Act, the Illinois Equal Wage Act, and the Illinois Equal Pay Act of 2003. We believe that people performing the same role at the same level, with similar levels of ability or experience, should be similarly compensated. We also believe that the most critical factors driving compensation should be an Eleven’s skill, experience, performance, responsibility, and effort. We may also consider an employee’s length of service, relevant education, training, or certification, and the requirements of a specific job. We may also consider whether the cost of living or competition for talent in specific markets requires adjustments in compensation for employees in those markets. Our goal is to fairly compensate all our Elevens based on these factors within the Company’s financial ability.   

Compensation may be increased or decreased at Inspire11’s discretion based on an employee’s performance reviews, market conditions, and the Company’s financial performance. Inspire11 will always notify an employee in writing before any change is made to their compensation.  

Bonuses 
We may allow employees in Sales, Recruiting, or Leadership to earn periodic bonuses based on sales, revenue, client-specific or practice-specific targets. These targets are communicated to each eligible employee via offer letter or annual update. All such target-based bonuses are calculated based on the Company and an individual’s periodic performance and will only be awarded if: (a) the employee is meeting performance expectations and is an employee in good standing of the Company; (b) the target is met; and (c) the Company’s current financial performance and market conditions permit the bonus to be paid out. All periodic bonuses are discretionary and are earned only when paid out.   

Each year, the Company will decide whether the Company’s financial performance, market performance, and business realities allow it to create an annual bonus pool. If the Company decides that annual bonuses may be awarded, then the Leadership Team will grant annual bonuses to employees in good standing based on the same factors discussed in the previous paragraph while also considering employees’ diligence, performance, expertise, skill, judgment, and experience. To be eligible to participate in this annual bonus pool, an employee must be hired by no later than October 1st of the preceding year. Annual bonuses and merit increases may be prorated based on hire date. Employees eligible for target-based periodic bonuses are not eligible to participate in the annual bonus pool.   

Options or Other Equity in Inspire11 
Inspire11 has a legacy program that allowed certain high-performing employees to purchase shares of the Company through an affiliate. The Company also has a newer program that grants options annually to high-performing employees based on their performance reviews, their managers’ recommendation, and leadership approval. These options have a vesting period associated with them.  

Benefits 
Full-time employees are eligible for the following contributory benefits, where premiums are partially paid by the Company and partially by the employee:   

• Medical insurance plans, 
• Dental insurance plans, and  
• Vision insurance plans.  

Full-time employees are eligible for the following benefits provided wholly by the Company:  

• Short-term disability, providing for a benefit of 60% of an employee’s salary up to a maximum of $2,000 per week for up to 11 weeks after a 7-day waiting period; 
• Long-term disability, providing for 60% of an employee’s salary up to a maximum of $10,000 per month for the time period from the 91st day after a qualifying event through the earlier of the end of the disability or age 67; 
• Life insurance, providing for a benefit of two times the employee’s annual salary, up to a maximum payout of $400,000;   
• A connectivity stipend of $325 annually; 
• Employee Assistance Program, providing for confidential counseling sessions, 24-hour crisis support, online peer support groups, skills training, behavioral health coaching, initial free legal consultations (and discounted rates on referred lawyers), online legal forms, assistance with eldercare and parenting services, among other things.  

Full-time employees are also eligible to participate in the Company’s 401(k) plan, which allows employees to contribute to a standard or Roth IRA. According to a vesting schedule, the Company matches 100% of employee contributions up to 3% of an employee’s salary.  

Depending on eligibility and their elections, full-time employees may also have access to certain tax-advantaged savings accounts set up through the Company, into which employees contribute withheld funds:   

• Flexible savings accounts
• Limited-purpose flexible savings accounts  
• Healthcare savings accounts
• Dependent care savings accounts  
• Commuter benefit accounts  

Paid Time Off and Leave 
Inspire11 grants all eligible employees any statutory leave required by federal, Illinois, or other applicable law, such as FMLA, bereavement, sick leave, emergency leave, jury duty or witness leave, and VESSA leave.   

In addition, Inspire11 has a self-managed paid time off policy (PTO) that does not set predetermined upper limits on the amount of PTO an employee may take. All PTO must be requested in advance and approved by the appropriate supervisor to ensure client work can continue. All full-time employees are expected to take a minimum of one week of PTO each year.   

Inspire11 offers paid parental leave to full-time employees who have been with the company for at least one year. Birthing parents are eligible for up to 12 weeks of paid parental leave, while non-birthing parents are eligible for up to 6 weeks. Short-term disability (STD) benefits are also provided following childbirth. When combined with PTO and STD, birthing parents may receive a total of 18–20 weeks of paid leave. Lastly, Inspire11 has eight paid holidays.  

Other Benefits 
Inspire11 also maintains other programs that provide additional benefits to employees, such as:   

• Impact to 11: a charitable giving matching program where, after being employed by Inspire11 for a year, employees may request that a qualifying charity receive up to $500 in matching donations each year. 
• Professional development benefits for qualifying employees: a program allowing for reimbursement of certain course materials and costs on a discretionary basis for employees who have been at Inspire11 for at least 6 months, with supervisor’s approval. 
• Regular gifts of Inspire11 clothes, office items, and swag.  

Disclaimer 
This document applies only to the United States and to Inspire11 LLC, not our worldwide partners.  

Inspire11 reserves the right to change the benefits offered to employees in accordance with applicable law based on business needs, market conditions, and financial stability. Before changing any benefits, Company will notify all employees of the change and will update this document.  

EEOC 
Inspire11 is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. If you need assistance or a reasonable accommodation during the application process, please contact us at hr@inspire11.com, or inform your recruiting partner.  

WHAT YOU'LL DO

Braze is seeking a Senior Cloud Security Engineer to join our existing Security Engineering function. Braze is a modern, cloud-first SaaS company operating entirely on cloud-native infrastructure with large-scale, distributed systems across AWS, GCP, and self-managed Kubernetes environments. We are looking for an engineer with deep cloud security expertise who can partner with DevOps, Infrastructure, and Product Engineering teams to strengthen our cloud posture, secure our platforms, and help drive the future of Cloud Security at Braze.

As a Senior Cloud Security Engineer at Braze, you will work on a diverse set of initiatives, including:

• Working closely with Infrastructure, SRE, and Product Engineering to design secure cloud architectures and develop practical, scalable security controls for new and existing services
• Implementing and improving end-to-end cloud security controls across AWS, GCP, Kubernetes, CI/CD pipelines, and self-managed systems
• Leading and improving our existing vulnerability management workflow for cloud assets, including scanning, triage, prioritization, and remediation with tools like Tenable and native CSP capabilities
• Managing and optimizing security tooling such as CrowdStrike (EDR/CSPM/IR), cloud-native security services, and SIEM detection rules (with the help of our existing SIEM Management function)
• Performing threat modeling for new cloud technologies and patterns adopted across engineering
• Contributing directly to incident response, cloud forensics, and run-time security investigations
• Securing and supporting Infrastructure-as-Code deployments, with ownership over the design and hardening of IaC and CI/CD automation pipelines
• Developing automation using Python and SOAR platforms to improve detection, response, and remediation workflows
• Enhancing cloud logging, alerting, monitoring, and operational visibility across AWS and GCP
• Continually assessing cloud security posture and identifying opportunities to reduce risk, harden environments, and adopt best-in-class cloud security practices

WHO YOU ARE

You are someone who can translate complex cloud attack paths, IAM misconfigurations, and multi-step threat scenarios into clear guidance for engineers and product teams. You bring deep hands-on experience securing large-scale cloud platforms—especially AWS - and understand how to balance strong security controls with operational realities. You stay current with cloud security trends, tools, standards, and threat landscapes, and you have a track record of improving real-world cloud security in production environments.

A good candidate will have:

• 5+ years of experience working in Cloud Security, Infrastructure Security, or DevSecOps in a product-focused company
• Demonstrable, expert level skills in modern enterprise networking
• Expert-level knowledge of AWS security, including IAM, control plane security, network controls, logging, monitoring, and cloud-native security services
• Strong understanding of GCP security, with Azure familiarity as a plus
• Significant experience with self-managed Kubernetes/K8’s
• Hands-on experience with CrowdStrike, Tenable, and native cloud CSPM/CWPP tooling
• Proven track record as an incident responder in cloud environments
• Strong understanding of run-time security, CSPM concepts, cloud forensics, and vulnerability management workflows
• Deep operational experience with IAM, RBAC, and integrations with external identity providers
• Experience securing CI/CD pipelines and Infrastructure-as-Code (Terraform preferred)
• Strong Python skills for automation and SOAR workflows
• Knowledge of securing distributed systems, including experience with self-managed databases such as MongoDB
• Familiarity with common security frameworks and regulations (SOC 2, ISO 27001, NIST), and understanding how they apply to cloud environments
• Ability to articulate risk clearly and provide actionable mitigation strategies to engineering teams
• Strong knowledge of patch management, base image hardening, and version management in containerized and VM-based environments

An excellent candidate will have:

• Hands-on experience securing large-scale, high-throughput distributed systems
• Demonstrated expertise in cloud forensics, including investigations across AWS or GCP
• Experience managing or operating enterprise-scale CSPM programs
• Experience contributing to SOAR pipelines or building automated remediation systems
• Prior experience in the SaaS space
• Contributions to open-source cloud or security projects
• Published research, CVEs, conference talks, or community-led cloud security work
• Experience conducting or integrating cloud penetration testing or adversarial simulation techniques

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $128,842 and $232,200/year with an expected On Target Earnings (OTE) between $144,000 and $258,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, Braze offers full- and part- time employees a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that all Braze employees own a piece of our company.

#LI-Hybrid

About Attain

Built for consumers and companies, alike

Klover’s engineering team powers one of the fastest-growing fintech platforms in the U.S., supporting over one million active users each month. Our systems process and move more than $1.5 billion annually, enabling real-time access to financial tools, rewards, and services that help people improve their day-to-day lives.

As part of this team, you’ll help design, build, and scale the systems that underpin Klover’s core products and platform. You’ll work on high-impact, production-grade systems that prioritize reliability, security, and performance, and that integrate with a broad ecosystem of internal and external services. The work you do will directly shape how users interact with Klover’s products, access their money, and experience transparent, low-fee financial services.

Klover engineers collaborate closely with colleagues across backend, frontend, data science, and product teams to deliver scalable, high-quality solutions for a rapidly growing user base. You’ll have the opportunity to work with modern technologies and architectures while helping define and evolve the next generation of inclusive, data-powered financial products—building systems and interfaces that emphasize reliability, privacy, and performance at scale.

About the Role

As a Senior/Staff Site Reliability Engineer, you will play a critical role in building out and maintaining the infrastructure that powers all of our systems, as well as all of the supporting tools to ensure that those systems are running smoothly. You will work closely with nearly every engineering team at Attain, in helping to ensure that our systems are operating at peak efficiency, and preparing us to handle the scale of our future growth.

Attain Office Hybrid Schedule (where applicable): 

• Redwood City, CA: Mondays (in-office for stand-ups, all-hands) and choice of three days between Tues-Friday
• Chicago, IL & New York, NY: 4 days in-office; 1 day remote

What a typical week might look like

• Write Terraform modules for deploying infrastructure resources via our GitLab pipelines
• Develop Helm charts for deploying services and jobs in our Kubernetes cluster
• Define metrics, network policies, and routing rules for our Istio service mesh
• Monitor and maintain our GCP BigQuery and Spanner databases
• Pipe metrics to our Google-managed Prometheus instance and build out Grafana dashboards and alerts to increase visibility on our systems
• Experiment with GCP offerings, 3rd party vendors, and open-source tools to further automate and secure day-to-day operations
• Leverage latest and greatest LLM models in developing infrastructure and tooling
• Pair with engineering leads to instrument and monitor critical functionality
• Add automation to both existing and new systems to reduce our reliance on manual processes
• Participate in architecture design and capacity planning discussions to ensure that our systems are scalable, maintainable, reliable, and secure
• Build, maintain, and improve our CI/CD pipeline

You’ll be a great fit for the role if

• You are comfortable wearing many hats
• You have a willingness to learn and teach in a fast-paced, collaborative environment
• You have a strong desire to automate things
• You readily provide constructive feedback, and also proactively seek feedback to improve yourself
• You like to get your hands dirty and tinker with/stress test new technologies

Preferred Qualifications

• 6+ years of experience building and maintaining large-scale cloud-native infrastructure (AWS and/or GCP)
• Experience working with the containerization technologies Docker, Kubernetes, and Istio or a similar service mesh technology
• Experience with SQL database technologies such as MySQL,Google BigQuery, and Google Spanner
• Experience with stream technologies such as Kafka and Amazon Kinesis
• Experience with pub sub technologies such as AWS SNS and Google Pub/Sub
• Experience with serverless computing technologies such as AWS Lambda and Google Cloud Functions/Google Cloud Run
• Experience with infrastructure-as-code tools such as Terraform
• Experience with observability tools such as Datadog, Prometheus, and Grafana
• Strong computer science and software engineering fundamentals
• Experience with SOC2 Compliance processes and requirements

We are excited to hear from you. 

At Attain, we are passionate about finding people to continuously help us grow our organization. We encourage you to apply, even if your experience doesn’t match every detail on the job description. If we don’t see something that immediately fits, we will keep your resume on file for future opportunities.

About this position:

We’re looking for a deeply technical, strategically minded Domain Architect to lead the next evolution of our platform architecture. In this role, you’ll rapidly assess our existing systems, define convergence opportunities between key domains, and shape the integration strategy that drives scalability, velocity, and long-term technical excellence. You’ll bridge product, engineering, and data to define clear domain boundaries, establish technical standards, and guide the modernization of our architecture—ensuring we balance innovation with business impact.

This role is ideal for an experienced architect who thrives in fast-moving environments, understands the trade-offs between pragmatism and purity, and can translate complex technical concepts into clear, actionable decisions across teams.

What you'll be doing:

Strategy

• Evaluate and define the target-state domain architecture across multiple products, identifying convergence opportunities and technical debt reduction paths.
• Design and lead a scalable integration strategy between heterogeneous systems (e.g., Rails <-> Node/React Native via APIs, Kafka, or event streams).
• Define domain boundaries and service ownership models that enable sustainable growth and platform flexibility.
• Partner with Product and Engineering leadership to align architectural priorities with product roadmaps and business outcomes.
• Lead cross-functional discussions on modernization strategy, balancing short-term delivery with long-term scalability.

Technical/ Execution

• Decompose monolithic applications (Rails, Django, Laravel) into domain-based services or bounded contexts, using domain-driven design principles.
• Define integration and data synchronization patterns between distributed systems, ensuring schema evolution and API versioning best practices.
• Architect core platform services—authentication, identity, content, and analytics—shared across web and mobile products.
• Apply deep hands-on knowledge of AWS (EC2, ECS/EKS, Lambda, S3, RDS/Postgres, EventBridge/SNS/SQS) and IaC tools (Terraform, CloudFormation).
• Introduce observability, monitoring, and CI/CD standards (Datadog, OpenTelemetry, GitHub Actions, CircleCI) that support secure, high-quality releases.
• Provide technical mentorship and architectural reviews to ensure strong engineering standards and knowledge transfer across teams.

Team / Collaboration

• Partner with Product, Design, and Engineering leaders to guide architecture decisions that optimize both user experience and technical sustainability.
• Contribute to architecture guilds and domain working groups, defining shared frameworks and principles for system evolution.
• Communicate architectural trade-offs clearly—speed vs scalability, build vs buy, monolith vs microservice—to technical and non-technical stakeholders.
• Author and socialize Architecture Decision Records (ADRs), domain maps, and shared service contracts to ensure alignment and transparency.
• Act as a trusted advisor and mentor to senior engineers, promoting best practices in distributed system design and software craftsmanship.

Leadership

• Lead by influence across engineering teams, setting a high bar for architectural rigor, documentation, and technical collaboration.
• Champion scalable, pragmatic engineering principles that accelerate business velocity while building for the future.
• Drive the adoption of a modern technical culture—balancing innovation, quality, and accountability.

Research/Best Practices

• Stay current on evolving architectural paradigms (domain-driven design, event-driven systems, microservices, and data mesh patterns).
• Introduce architectural innovations and tools that improve developer efficiency, code quality, and system observability.
• Conduct architecture reviews and share learnings company-wide to foster continuous improvement and technical excellence.

What success looks like:

• Clear domain boundaries and service ownership models are defined and adopted across engineering teams.
• Integration patterns between systems are reliable, documented, and scalable, supporting faster feature delivery.
• Architecture decisions are data-informed, balancing speed, cost, and technical debt effectively.
• The engineering organization demonstrates improved velocity and reduced friction between teams.
• Foundational technical debt reduction and modernization initiatives are underway, with measurable impact on reliability and maintainability.
• You’re seen as a collaborative, trusted technical leader who bridges architecture and product strategy seamlessly.

What you bring:

• 10+ years of progressive software engineering experience, with at least 3+ years in a senior or principal architecture role.
• Proven expertise designing and evolving architectures in high-scale, multi-product environments (Rails, Node.js, React Native preferred).
• Deep understanding of domain-driven design (DDD), service decomposition, and event-driven patterns.
• Strong AWS architecture experience (ECS/EKS, Lambda, RDS, S3, EventBridge, SQS/SNS) and infrastructure-as-code (Terraform, CloudFormation).
• Demonstrated ability to modernize legacy systems incrementally, driving results without full rebuilds.
• Solid understanding of data synchronization, API design, schema evolution, and distributed systems reliability.
• Experience defining and implementing CI/CD pipelines, observability stacks, and deployment strategies (canary, blue-green, multi-env).
• Excellent communication and stakeholder management skills, with the ability to simplify complex ideas for diverse audiences.
• Passion for mentorship, system design, and building architectures that enable product and team growth.

How you work: 

Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.

Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights.

Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement.

Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high.

Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth.

Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity.

Our approach to compensation:

We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.

Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only.

To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. 

Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package.

Salary Range: 

$200,000 - 230,000 OTE

#LI-Hybrid  

Moonlite delivers high-performance AI infrastructure for organizations running intensive computational research, large-scale model training, and demanding data processing workloads.We provide infrastructure deployed in our facilities or co-located in yours, delivering flexible on-demand or reserved compute that feels like an extension of your existing data center. Our team of AI infrastructure specialists combines bare-metal performance with cloud-native operational simplicity, enabling research teams and enterprises to deploy demanding AI workloads with enterprise-grade reliability and compliance.

Your Role:

You will be instrumental in building and operating production-grade AI infrastructure with deep Kubernetes expertise at its core. Working closely with our systems engineers, network engineers, and platform engineering team, you’ll architect and operate the Kubernetes infrastructure that powers our control plane and orchestrates compute, storage, and networking at scale. This role requires deep understanding of Kubernetes internals, custom resource definitions (CRDs), storage and network integrations, and building production-grade clusters from the ground up (not just deploying in managed environments). You'll ensure enterprise-grade reliability while establishing the automation, observability, and operational practices. 

Job Responsibilities

• Kubernetes Infrastructure Engineering: Design, build, and operate production Kubernetes clusters on bare-metal infrastructure – including cluster bootstrapping, control plane architecture, etcd management, and scaling strategies for high-performance compute workloads. 
• Kubernetes Networking & CNIs: Implement and operate custom Kubernetes networking solutions with SR-IOV for high-performance GPU interconnects, multi-tenancy isolation and advanced networking policies. Configure CNI plugins and network segmentation for research workloads.
• Custom Operators & Controllers: Develop and maintain custom Kubernetes operators and controllers for bare-metal provisioning, infrastructure lifecycle management, and resource orchestration across compute, storage, and networking domains.
• GPU Infrastructure Integration: Deploy and optimize NVIDIA GPU operators, device plugins, and other custom scheduling logic for GPU workload placement and utilization optimization.
• Platform Integration & Storage: Build deep integrations between Kubernetes and underlying infrastructure including CSI drivers for storage, custom admission controllers for policy enforcement, and scheduling extensions for specialized hardware placement.
• Infrastructure Automation: Design and implement automation using Terraform, Ansible, Helm, and custom operators to orchestrate infrastructure workflows and enable deployments across multiple regions.
• Production Operations & Reliability: Manage production bare-metal infrastructure across multiple regions. Build systems ensuring high availability, fault tolerance, and graceful degradation – establishing SLIs, SLOs, and monitoring to meet enterprise reliability commitments.
• Observability & Incident Response: Build comprehensive monitoring, logging, and alerting using Prometheus, Grafana, and ELK stack. Lead incident response, conduct postmortems, and implement preventative measures to improve reliability and reduce MTTR.
• Performance & Capacity Planning: Identify and resolve performance bottlenecks across infrastructure domains. Monitor utilization trends, forecast capacity needs, and optimize resource allocation for various workloads.

Requirements

• Experience: 5+ years in SRE, DevOps, or infrastructure engineering roles with proven experience operating production infrastructure at scale.  
• Kubernetes Infrastructure Expertise: Deep hands-on experience building and operating production Kubernetes clusters on bare-metal infrastructure – not just deploying workloads in managed clusters. Must understand cluster bootstrapping, control plane architecture, etcd operations, and scaling strategies.
• Kubernetes Internals & Integration: Strong understanding of Kubernetes internals including custom resource definitions (CRDs), operators, controllers, admission webhooks, and scheduling. Experience integrating storage (CSI drivers), networking (CNI, SR-IOV), and specialized hardware (GPU device plugins) with Kubernetes.
• Linux Systems Experience: Strong fundamentals in Linux systems administration, performance tuning, troubleshooting, and automation in production environments.
• Infrastructure Automation: Proficiency with infrastructure-as-code tools (Terraform, Ansible, Helm) and building automation to reduce operational overhead.
• Networking Fundamentals: Solid understanding of networking concepts including IPAM, DNS, DHCP, VLAN/VXLAN, routing, load balancing, and experience troubleshooting network issues in production.
• Observability & Monitoring: Experience building and maintaining comprehensive monitoring solutions using tools like Prometheus, Grafana, and centralized logging systems.
• Reliability Practices: Understanding of SRE principles including SLIs/SLOs/SLAs, error budgets, incident management, and blameless postmortems.
• Scripting & Automation: Strong scripting skills in Go, Python, or Bash for automation, tooling development, and operational efficiency.
• Problem-Solving Under Pressure: Demonstrated ability to troubleshoot complex issues under pressure, manage incidents effectively, and communicate clearly during outages.
• Collaboration & Communication: Excellent communication skills and ability to work across teams including systems engineers, network engineers, and software developers.

Preferred Qualifications

• Experience building custom Kubernetes operators or controllers for infrastructure orchestration
• Deep familiarity with Kubernetes networking (Calico, Cilium, Multus), service mesh technologies, and network policy management
• Experience with GPU workload orchestration including NVIDIA GPU Operator, MIG, time-slicing, and device plugins
• Background with advanced Kubernetes features including custom schedulers, admission controllers, and API server extensions
• Experience with Kubernetes cluster federation or multi-cluster management
• Knowledge of high-performance networking technologies (InfiniBand, RDMA, RoCE) and their integration with Kubernetes
• Experience with enterprise storage systems (VAST, Lightbits, Ceph, or similar)
• Familiarity with configuration management at scale and GitOps practices
• Understanding of security best practices for Kubernetes and bare-metal infrastructure
• Experience operating infrastructure in regulated industries or co-located data center environments
• Background supporting research institutions, technical computing environments, or enterprise AI infrastructure

Key Technologies

• Kubernetes, Linux, Terraform, Ansible, Prometheus, Grafana, ELK Stack, Go, Python, Bash, NVIDIA GPU Technologies, High-Performance Networking, Enterprise Storage Systems

Why Moonlite

• Build Critical Research Infrastructure: Your work will directly enable quantitative research teams and AI practitioners to push the boundaries of what's possible in financial modeling and AI research.
• Enterprise Impact: Build and operate infrastructure that supports mission-critical research and AI workloads for leading financial institutions and research organizations.
• Technical Excellence: Join an infrastructure team focused on delivering enterprise-grade reliability while pushing the boundaries of high-performance computing capabilities.
• Hands-On Ownership: As part of our growing infrastructure team, you'll have significant ownership over critical systems and the autonomy to influence our operational practices and technology choices.
• Industry Leadership: Work alongside experienced infrastructure professionals who have built and operated systems for the most demanding computing environments.

We offer a competitive total compensation package combining a competitive base salary, startup equity, and industry-leading benefits. The total compensation range for this role is $165,000 – $225,000, which includes both base salary and equity. Actual compensation will be determined based on experience, skills, and market alignment. We provide generous benefits, including a 6% 401(k) match, fully covered health insurance premiums, and other comprehensive offerings to support your well-being and success as we grow together.

#li-remote

Moonlite delivers high-performance AI infrastructure for organizations running intensive computational research, large-scale model training, and demanding data processing workloads.We provide infrastructure deployed in our facilities or co-located in yours, delivering flexible on-demand or reserved compute that feels like an extension of your existing data center. Our team of AI infrastructure specialists combines bare-metal performance with cloud-native operational simplicity, enabling research teams and enterprises to deploy demanding AI workloads with enterprise-grade reliability and compliance.

Your Role:

You will be foundational to building the comprehensive infrastructure platform that bridges our physical infrastructure –  bare-metal servers, GPU clusters, high-performance storage, and networking fabric – with the systems our customers depend on for large-scale computation, inference, simulations, and training. Working closely with product, your platform team members, and infrastructure specialists, you’ll design and implement the orchestration layer, APIs, and automation framework that make thousands of servers, petabytes of storage, and high-speed networks feel like a unified, programmable platform.    

Job Responsibilities

• Infrastructure Abstraction Layer: Design and build systems that bridge physical infrastructure (bare-metal servers, storage clusters, network fabric) with customer-facing services, enabling programmatic management of compute, networking, and storage at scale.
• Research Cluster Provisioning: Design and implement systems for provisioning and managing research computing environments including Kubernetes and SLURM clusters, enabling automated deployment, resource scheduling, and workload orchestration for distributed AI training and HPC workloads.
• Platform Orchestration: Implement comprehensive orchestration systems that coordinate across compute, storage and networking to deliver unified experience for complex research workloads.
• Network Automation & Placement: Design and build network provisioning automation including intelligent VM placement decisions for optimal network topology, automated VLAN and subnet configuration, and software-designed networking orchestration for high-performance interconnects.
• Enterprise APIs & SDKs: Develop robust APIs and SDKs that enable researchers and engineering teams to programmatically provision and manage infrastructure resources across all platform domains.
• Observability & Telemetry: Implement comprehensive observability, telemetry, and logging systems that provide visibility into infrastructure health, performance, and utilization across the infrastructure footprint.
• Performance Engineering: Build and optimize platform services that deliver consistent high-throughput low-latency networking for demand research applications and data-intensive workloads.
• Cross-Team Collaboration: Work closely with engineering, infrastructure, and product to define requirements, drive infrastructure-product-rollouts, and improve resource lifecycle management.
• Compliance & Security: Implement platform-wide compliance and security features supporting SOC 2, ISO 27001, and enterprise regulatory requirements including comprehensive audit logging, access controls, and data residency management.

Requirements

• Experience: 5+ years in software engineering with a proven track record of infrastructure platforms, distributed systems, or cloud platforms for production environments. 
• Kubernetes & Container Orchestration: Strong familiarity with Kubernetes architecture, container orchestration concepts, and experience deploying workloads in Kubernetes environments. Understanding of pods, deployments, services, and basic Kubernetes operations.
• Infrastructure Systems: Strong understanding of infrastructure fundamentals including compute orchestration, storage systems, networking technologies, and how they integrate together to deliver complete platform experiences.
• Programming Skills: Experience with systems programming languages (Go, C/C++, Rust, Python) for performance-critical components is a strong plus.
• Linux Production Experience: Strong experience with linux in production environments, including systems administration, performance tuning, and troubleshooting.
• Bare-Metal & Virtualization: Deep knowledge of bare-metal infrastructure, provisioning systems, out-of-band management, and virtualization technologies (KVM, Kubernetes, etc).
• API & Platform Design: Proven experience designing and building APIs, SDKs, and automation frameworks that enable programmatic infrastructure management.
• Cloud Platform Knowledge: Strong familiarity with cloud environments (AWS, GCP, Azure) and understanding of how to translate cloud-native patterns to bare-metal infrastructure.
• Infrastructure Automation: Experience with Infrastructure-as-code tools (Terraform, Ansible) and building automated deployment pipelines.
• Problem Solving & Autonomy: Self-starter who can navigate ambiguity, balance pragmatic shipping with good long-term architecture, and independently drive complex technical initiatives.
• Communication Skills: Strong written and verbal communication skills, including ability to write clear technical communication and collaborate across teams.
• Commitment to Growth: Growth mindset with continuous focus on learning and professional development.

Preferred Qualifications

• Background provisioning or managing research computing environments (Kubernetes, SLURM, or HPC clusters)
• Experience building internal platforms, infrastructure-as-a-service, or developer tooling
• Background with GPU computing platforms and AI/ML infrastructure requirements
• Knowledge of high-performance networking technologies (InfiniBand, RDMA, SR-IOV)
• Experience with observability and monitoring platforms (Prometheus, Grafana, ELK stack)
• Familiarity with both cloud-native and bare-metal infrastructure deployment models
• Understanding of enterprise compliance requirements and security best practices
• Extra points for experience with financial services technology infrastructure and understanding of trading system requirements

Key Technologies

• Go, Python, Kubernetes, Docker, Terraform, Ansible, Linux, Networking (BGP, VXLAN), Storage Systems, FastAPI, PostgreSQL, Redis, NVIDIA GPU Technologies, InfiniBand

Why Moonlite

• Build Next-Generation Infrastructure: Your work will create the platform foundation that enables financial institutions to harness AI capabilities previously impossible with traditional infrastructure.
• Hands-On Ownership: As an early engineer, you’ll have end-to-end ownership of projects and the autonomy to influence our product and technology direction.
• Shape Industry Standards: Contribute to defining how enterprise AI infrastructure should work for the most demanding regulated environments.
• Collaborate with Experts: Work alongside seasoned engineers and industry professionals passionate about high-performance computing, innovation, and problem-solving.
• Start-Up Agility with Industry Impact: Enjoy the dynamic, fast-paced environment of a startup while making an immediate impact in an evolving and critical technology space.

We offer a competitive total compensation package combining a competitive base salary, startup equity, and industry-leading benefits. The total compensation range for this role is $165,000 – $225,000, which includes both base salary and equity. Actual compensation will be determined based on experience, skills, and market alignment. We provide generous benefits, including a 6% 401(k) match, fully covered health insurance premiums, and other comprehensive offerings to support your well-being and success as we grow together.

#li-remote

Moonlite delivers high-performance AI infrastructure for organizations running intensive computational research, large-scale model training, and demanding data processing workloads. We provide infrastructure deployed in our facilities or co-located in yours, delivering flexible on-demand or reserved compute that feels like an extension of your existing data center. Our team of AI infrastructure specialists combines bare-metal performance with cloud-native operational simplicity, enabling research teams and enterprises to deploy demanding AI workloads with enterprise-grade reliability and compliance.

Your Role:

You will be foundational to building our software-defined networking (SDN) platform that enables high-performance, isolated networking for distributed computing, model training, inference, and data-intensive workloads. Working closely with our network, infrastructure, and product teams, you’ll design and implement the network orchestration and provisioning systems that manage DPU-accelerated networking, tenant isolation, and network lifecycle management – enabling researchers and engineers to access enterprise-grade networking with cloud-like simplicity.

Job Responsibilities:

• Software-Defined Networking Architecture: Collaborate with infrastructure to design and build scalable SDN orchestration systems leveraging NVIDIA Bluefield-3 DPUs to deliver programmable, high-performance networking for AI workloads with hardware-accelerated forwarding isolation.
• Research Cluster Networking: Design and implement networking systems for research computing environments including Kubernetes and SLURM clusters, enabling high-performance connectivity, optimized network topology for distributed workloads, and seamless integration with cluster orchestration systems.
• Network Provisioning & Lifecycle Management: Implement automated SDN provisioning systems that handle VPC creation, subnet allocation, routing configuration, and network resource lifecycle from deployment through decommissioning.
• DPU Platform Engineering: Develop platform capabilities for managing Bluefield-3 DPUs including SR-IOV virtual function management, OVS offload configuration, network function deployment, and integration with compute orchestration systems.
• Multi-Tenancy & Network Isolation: Build enterprise-grade network isolation using VPCs, VXLAN, and hardware-accelerated forwarding to ensure complete tenant separation while maintaining high-performance connectivity for GPU clusters and distributed workloads.
• High-Performance Networking: Collaborate with infrastructure to optimize network paths for RDMA, RoCE, and GPU-to-GPU communication, ensuring minimal latency and maximum throughput for distributed training and large-scale computational workloads.   
• Network APIs & Integration: Develop robust APIs and SDKs for network resource management that integrate seamlessly with compute and storage platforms, enabling programmatic network provisioning and configuration.
• Network Observability: Implement comprehensive network monitoring, telemetry, and troubleshooting systems that provide visibility into network performance, utilization, and tenant traffic patterns.Security & Policy Management: Build platform network security features including security groups, firewall rules, and policy enforcement that protect tenant workloads while enabling flexible network configuration.

Requirements:

• Experience: 5+ years in software engineering with proven experience building network platforms, SDN systems, or network automation for production environments.
• Kubernetes Networking & Container Orchestration: Strong familiarity with Kubernetes networking architecture, CNI plugins, service networking, and network policies. Understanding of pod networking, services, ingress, and how Kubernetes manages network resources.
• Networking Expertise: Deep understanding of networking fundamentals including TCP/IP, VLANs, VXLAN, BGP, OSPF, routing protocols, and data center network architectures.Software-Defined Networking: Background in SDN concepts, network virtualization, overlay networks, and programmable networking technologies.
• Programming Skills: Experience with Go and Python for performance-critical networking components and services is highly valued.
• Linux Networking: Strong experience with Linux networking stack, including network namespaces, iptables/nftables, Open vSwitch, and kernel networking systems.
• DPU & SmartNIC Experience: Familiarity with DPU/SmartNIC architectures (Bluefield, or similar), SR-IOV, hardware offload capabilities, and programmable networking hardware – or strong ability to learn quickly.
• High-Performance Networking: Understanding of RDMA, RoCE, Infiniband, and low-latency networking requirements for distributed computing and GPU workloads.
• Problem-Solving & Architecture: Demonstrated ability to solve complex networking performance and scalability challenges while balancing pragmatic shipping with good long-term architecture.
• Autonomy & Communication: Comfortable navigating ambiguity, defining requirements collaboratively, and communicating technical decisions through clear documentation.
• Commitment to Growth: Growth mindset with continuous focus on learning and professional development.

Preferred Qualifications

• Background provisioning or managing networking for research computing environments (Kubernetes, SLURM, or HPC clusters)
• Experience with NVIDIA Bluefield DPU programming and DOCA framework
• Background with network function virtualization (NFV) and service function chaining
• Knowledge of Kubernetes networking (CNI plugins, network policies, service mesh)
• Experience building network control planes or SDN controllers
• Familiarity with network automation frameworks and infrastructure-as-code for networking
• Understanding of data center fabric architectures (spine-leaf, CLOS topologies)
• Experience with network security and compliance requirements in regulated industries
• Background building networking for research institutions, HPC environments, or cloud providers

Key Technologies

• Go, Python, NVIDIA Bluefield DPUs, Open vSwitch, VXLAN, SR-IOV, RDMA, RoCE, InfiniBand, BGP, Linux networking, Terraform, FastAPI, gRPC

Why Moonlite

• Build Next-Generation Infrastructure: Your work will create the platform foundation that enables financial institutions to harness AI capabilities previously impossible with traditional infrastructure.
• Hands-On Ownership: As an early engineer, you’ll have end-to-end ownership of projects and the autonomy to influence our product and technology direction.
• Shape Industry Standards: Contribute to defining how enterprise AI infrastructure should work for the most demanding regulated environments.
• Collaborate with Experts: Work alongside seasoned engineers and industry professionals passionate about high-performance computing, innovation, and problem-solving.
• Start-Up Agility with Industry Impact: Enjoy the dynamic, fast-paced environment of a startup while making an immediate impact in an evolving and critical technology space.

We offer a competitive total compensation package combining a competitive base salary, startup equity, and industry-leading benefits. The total compensation range for this role is $165,000 – $225,000, which includes both base salary and equity. Actual compensation will be determined based on experience, skills, and market alignment. We provide generous benefits, including a 6% 401(k) match, fully covered health insurance premiums, and other comprehensive offerings to support your well-being and success as we grow together.

#li-remote

Moonlite delivers high-performance AI infrastructure for organizations running intensive computational research, large-scale model training, and demanding data processing workloads.We provide infrastructure deployed in our facilities or co-located in yours, delivering flexible on-demand or reserved compute that feels like an extension of your existing data center. Our team of AI infrastructure specialists combines bare-metal performance with cloud-native operational simplicity, enabling research teams and enterprises to deploy demanding AI workloads with enterprise-grade reliability and compliance.

Your Role:

You will be instrumental in building out our GPU-accelerated compute platform that powers distributed AI training and inference, large-scale simulations, and computational research workloads. Working closely with product, your platform team members, and infrastructure specialists, you’ll design and implement the compute orchestration layer that manages GPU clusters, bare-metal provisioning, and resource scheduling-enabling researchers and engineers to programmatically access high-performance compute resources with cloud-like simplicity.

Job Responsibilities

• Compute Orchestration Systems: Design and build scalable compute orchestration platforms that manage GPU clusters, bare-metal server provisioning, and resource allocation across co-located infrastructure environments.  
• Resource Management & Scheduling: Implement intelligent workload scheduling, resource allocation, and optimization algorithms that maximize GPU utilization while maintaining performance guarantees for research and training workloads.
• Research Cluster Provisioning: Design and implement systems for provisioning and managing research computing environments including Kubernetes and SLURM clusters, enabling automated deployment, resource scheduling, and workload orchestration for distributed AI training and HPC workloads.
• GPU Platform Engineering: Develop platform capabilities for managing latest-generation NVIDIA GPU configurations (H100, H200, B200, B300), including GPU resource management, multi-tenant isolation, and integration with compute orchestration systems.
• Bare-Metal Lifecycle Management: Build automation and tooling for complete bare-metal server lifecycle management – from initial provisioning and configuration through ongoing operations, updates, and resource reallocation.
• Performance-Critical Systems: Optimize compute platform components for high-throughput and low-latency performance, ensuring research workloads achieve near-bare-metal efficiency in virtualized or containersized environments.
• Platform APIs & Integration: Develop robust APIs and SDKs that enable researchers to programmatically provision and manage compute resources, integrating seamlessly with existing workflows and research infrastructure.
• Observability & Monitoring: Implement comprehensive monitoring and telemetry systems for compute resources, providing visibility into GPU virtualization, workload performance and infrastructure health.
• Multi-Tenancy and Isolation: Build enterprise-grade multi-tenant compute isolation, security boundaries, and resource quotas that enable safe sharing of GPU infrastructure across teams and organizations. 

Requirements

• Experience: 5+ years in software engineering with proven experience building compute platforms, container orchestration systems, or distributed compute infrastructure for production environments.
• Compute Platform Engineering: Strong background in building compute orchestration, resource scheduling, or workload management systems at scale.
• Kubernetes & Container Orchestration: Strong familiarity with Kubernetes architecture, container orchestration concepts, and experience deploying workloads in Kubernetes environments. Understanding of pods, deployments, services, and basic Kubernetes operations.
• Programming Skills: Experience with Go, C/C++, Python, or Rust for performance-critical components is highly valued. 
• Linux & Systems Programming: Strong experience with Linux in production environments, including systems for programming, performance optimization, and low-level resource management.
• Virtualization & Containers: Deep knowledge of virtualization technologies (KVM, Xen), container runtimes, and orchestration platforms. 
• GPU Computing Fundamentals: Understanding of GPU architectures, CUDA programming (where/when needed), and GPU resource management – or a strong ability to learn quickly.
• Bare-Metal Infrastructure: Experience with bare-metal provisioning, out-of-band management systems, and hardware abstraction layers.
• Problem-Solving & Architecture: Demonstrated ability to solve complex performance and scalability challenges while balancing pragmatic shipping with good long-term architecture. 
• Autonomy & Communication: Comfortable navigating ambiguity, defining requirements collaboratively, and communicating technical discussions through clear documentation.
• Commitment to Growth: Growth mindset with continuous focus on learning and professional development.

Preferred Qualifications

• Background provisioning or managing research computing environments (Kubernetes, SLURM, or HPC clusters)
• Experience with GPU virtualization technologies (SR-IOV, NVIDIA vGPU) and multi-tenant GPU sharing
• Background in container orchestration platforms with custom scheduling or resource management
• Knowledge of high-performance networking for GPU communication (InfiniBand, RDMA, NVLink, NVSwitch)
• Familiarity with AI/ML training frameworks (PyTorch, TensorFlow) and their infrastructure requirements
• Understanding of distributed training patterns and multi-node GPU coordination
• Experience building infrastructure for research institutions,labs, or technical computing environments
• Background in financial services or other regulated industry infrastructure is a plus

Key Technologies

• Go, C/C++, Python, KVM, Docker, Kubernetes,, NVIDIA GPUDirect, SR-IOV, NVIDIA vGPU, CUDA, InfiniBand, RDMA, Terraform, FastAPI, gRPC, Linux systems programming

Why Moonlite

• Build Next-Generation Infrastructure: Your work will create the platform foundation that enables financial institutions to harness AI capabilities previously impossible with traditional infrastructure.
• Hands-On Ownership: As an early engineer, you’ll have end-to-end ownership of projects and the autonomy to influence our product and technology direction.
• Shape Industry Standards: Contribute to defining how enterprise AI infrastructure should work for the most demanding regulated environments.
• Collaborate with Experts: Work alongside seasoned engineers and industry professionals passionate about high-performance computing, innovation, and problem-solving.
• Start-Up Agility with Industry Impact: Enjoy the dynamic, fast-paced environment of a startup while making an immediate impact in an evolving and critical technology space.

We offer a competitive total compensation package combining a competitive base salary, startup equity, and industry-leading benefits. The total compensation range for this role is $165,000 – $225,000, which includes both base salary and equity. Actual compensation will be determined based on experience, skills, and market alignment. We provide generous benefits, including a 6% 401(k) match, fully covered health insurance premiums, and other comprehensive offerings to support your well-being and success as we grow together.

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