Role Overview 

We are seeking an accomplished Principal Engineer to lead the technical architecture and evolution of our hybrid digital ecosystem. In this pivotal role, you will drive the strategic integration of multi-modal AI into our core infrastructure while architecting an omnichannel platform capable of supporting complex customer journeys. You will balance the adoption of proven third-party AI solutions (OpenAI, Anthropic) with the development of proprietary optimizations where they deliver a competitive advantage. As a technical leader, you will champion a vendor-agnostic, ethically grounded, and Privacy by Design approach to AI implementation.

Key Responsibilities

• Infrastructure Modernization: Lead the roadmap for migrating legacy data pipelines to AI-native architectures. You will design modern data orchestration solutions utilizing Apache Airflow, dbt, and Kafka to replace outdated batch processing with real-time, event-driven flows.
• AI-Native Web Transformation: Define the web infrastructure required for a high-agility ecosystem. Architect the evolution of our Headless CMS environments (AEM, Contentful) and modern frontend frameworks to enable automated page assembly and AI-driven UI components.
• Agentic Pipeline Development: Design and build autonomous pipelines that bridge the gap between design systems, automated component development, and publishing workflows.
• ML & Data Engineering Leadership: Establish standards for RAG, vector databases, and LLM orchestration. Provide architectural guidance for the seamless integration of AI capabilities across headless and omnichannel systems while ensuring consistency, performance, and security.
• Engineering Productivity: Champion the use of AI-assisted coding and engineering productivity tools such as Claude Code and Cursor to accelerate development cycles and optimize architectural decision-making.

Required Qualifications

• Experience: 8–10 years in software engineering, specializing in SaaS platform architecture and distributed systems design.
• Leadership & Advocacy: Excellence in technical diplomacy and stakeholder influence. Proven ability to translate complex AI/Data roadmaps into business value while mentoring senior teams and advocating for architectural best practices.
• Data Orchestration: Strong hands-on experience with Apache Airflow (or similar), Kafka, and dbt to support real-time AI applications.
• AI & Web Convergence: Proven expertise integrating LLMs into production web environments with a focus on agentic workflows and autonomous UI generation.
• Architectural Vision: Deep understanding of headless CMS, composable, and event-driven patterns that allow for programmatic content and UI generation.
• Modern Delivery: Experience with cloud-native technologies (AWS/GCP, Docker, Kubernetes) and a deep expertise in data privacy frameworks and AI ethics.

#LI-Hybrid

#P24079_3413893

Who We Are

The Search Systems team at MongoDB builds the core infrastructure behind MongoDB Search and Vector Search. Our mission is to make advanced search capabilities feel native to the database, so developers can build powerful, scalable applications without standing up separate systems or compromising transactional performance.

We are the team behind mongot, the indexing and query execution engine that powers Search and Vector Search across MongoDB Atlas and self-managed deployments. Our work sits at the intersection of distributed systems, databases, and search infrastructure. We integrate Apache Lucene with MongoDB using native query operators like $search and $vectorSearch, build asynchronous change-stream-driven indexing pipelines that scale independently from transactional workloads, and support deployments across cloud, on-prem, and hybrid environments. Engineers on this team own meaningful subsystems, influence architectural decisions, and work on core database technology used by developers globally.

This role can be based out of our Toronto office or remotely in Canada.

What You'll Do

This is a rare opportunity to set the technical direction for one of MongoDB's most strategic investments. You will define the architecture of a self-contained search system that spans Community, Enterprise, and Atlas, while guiding how we integrate AI-native capabilities from Voyage AI. This is not a chance to influence a feature. It is a chance to shape the foundation of how developers everywhere build applications with MongoDB.

In this role, you will:

• Own the cross-system data infrastructure layer for MongoDB's next-generation Search and Vector Search capabilities, carrying outcomes that span 6-18 months
• Define the technical roadmap for Atlas Search, identifying gaps, proposing solutions, and driving alignment across engineering teams globally
• Lead the architecture and evolution of the core mongot and Mongo Management Service infrastructure, making durability, consistency, and scale decisions with conviction
• Drive complex, multi-team initiatives by building technical consensus, navigating ambiguity, and setting direction when there is no clean playbook
• Serve as a trusted technical partner to leadership on roadmap, architecture, and engineering process, advising rather than just informing
• Raise the technical ceiling of the team through mentoring, rigorous code review, and knowledge-sharing that creates leverage beyond your own output
• Standardize how engineering teams across the globe contract with one another, reducing coordination costs and increasing execution velocity at scale

What We're Looking For

Required:

• 10+ years of experience in data management systems or related distributed infrastructure
• Deep proficiency in modern programming languages and techniques, with Java fluency preferred
• Demonstrable experience designing and operating distributed systems, cloud services, or SaaS products at scale
• The ability to reason about systems at the physical layer: data consistency, durability guarantees, concurrency, and failure modes in distributed environments
• A track record of operating at Staff or Principal scope: defining technical direction, resolving cross-team ambiguity, and personally championing initiatives from conception to delivery

Preferred (not required):

• Experience designing or maintaining search platforms or distributed databases
• Experience debugging and profiling multithreaded JVM applications and distributed systems

The profile we hire at this level:

Operational Architects. You understand the physical limits of the stack. You can articulate why a system breaks at 100x load, reason about the risks of a dual-write migration strategy, and make data consistency and durability decisions with conviction.

Scale-First Thinkers. You identify risks before they surface. You think in migration paths, failure modes, and second-order architectural consequences, not just implementation details.

Technical Force Multipliers. You create leverage across teams. You challenge requirements rather than execute them, set technical direction independently, and hold a high bar for architectural clarity whether you are mentoring a struggling engineer or reviewing a design with a principal.

Systems Intuitionists. You connect operational constraints to design decisions in concrete terms. You know why fsync matters. You know how atomic operations behave under contention. You have built systems where these things were not hypothetical.

What Success Looks Like

In 3 months: You have developed deep familiarity with the core mongot and Mongo Management Service repos and shipped your first meaningful contribution.

In 6 months: You are driving features that build out new infrastructure for Atlas Search and have identified at least one systemic risk or architectural gap the team had not fully articulated.

In 12 months: You are building POCs, setting technical direction on complex cross-team projects, and actively shaping what the next generation of MongoDB Search looks like.

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 is an equal opportunities employer.

Req ID: 2263199619

About the role

We are looking for a business-oriented leader to architect and own the financial operating model for our entire cloud infrastructure. This isn't a reporting role; you are the single-threaded owner responsible for optimizing one of the company's largest technology investments. Your mission is to transform our cloud spend from a complex cost center into a predictable, efficient engine for innovation. You will report to senior leadership and be empowered to support the negotiation of multi-million dollar contracts, drive cultural change across engineering, and provide the financial clarity required for strategic business decisions.

What You'll Do

• Cultural Change: Act as the evangelist for Cloud FinOps. Champion a culture of cost ownership across our engineering organization by empowering teams with the dashboards, insights, and training needed to make cost an integral part of their design and operating principles.
• Governance & Visibility: Architect a system of governance and accountability. Design and implement a universal resource tagging strategy, moving beyond simple reporting to create robust showback/chargeback models that give engineering teams true ownership of their spend.
• Optimization & Efficiency: Drive a company-wide optimization program. Go beyond "low-hanging fruit" to create a continuous optimization program, partnering with engineering to refactor applications for cost, adopt new pricing models, and eliminate systemic waste.
• Commercial Strategy & Negotiation: Develop and execute the strategy to lead negotiations with our cloud vendors, right-sizing our commitments to align with our business strategy and eliminating financial risk.
• Forecasting & Budgeting: Build and operate our data-driven forecasting model. Partner directly with the Tech and Finance organizations to eliminate spending volatility and provide the business with a reliable cloud budget and accurate forecast.

What You'll Bring

You are a seasoned leader who operates at the intersection of technology and finance. You are just as comfortable debating architectural trade-offs with a principal engineer as you are presenting a business case to a CFO. You are a strong team player who loves to share knowledge, enable others, and provide and receive feedback.

• Proven Experience: A track record of 7+ years in dedicated Cloud FinOps or Cloud Financial Management roles, with clear success in managing significant AWS spend.
• Mastery of Cloud Economics: Deep expertise in AWS cost structures, including the nuances of Savings Plans, Reserved Instances, Spot, and the Cost and Usage Report (CUR).
• Data-Driven Strategist: Exceptional analytical and financial modeling skills. You don't just create dashboards; you build data-driven business cases to influence executive-level decisions.
• Technical Credibility & Influence: You have hands-on experience and a proven ability to partner with engineering teams to optimize application architecture for cost. You can engage and communicate complex ideas effectively to both technical and non-technical stakeholders.
• Proven Negotiator: Demonstrable, material experience leading or participating in large-scale commercial negotiations with a major cloud vendor.
• Builder's Mentality: You have a proven track record of designing and building a Cloud FinOps practice from an early stage, creating process and strategy where none existed before. Proficiency with scripting (e.g., Python/Bash) and experience with third-party tools (e.g., Vantage, CloudHealth) are strong pluses.

Let’s cut to the cheese, this is why you'll love it here

• Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
• Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!
• Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance. 
• Family Benefits - A parental leave top-up program for expectant parents.
• Growth & Development - We support your career progression and invest in your continued learning through experiences and initiatives owned by our dedicated L&D team
• Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!
• Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.
• Food Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names!

Flexible Hybrid Approach

At HelloFresh, we know that flexible work arrangements are essential in enabling you to do your best work, while balancing your personal and life needs. Offering remote work flexibility, along with the opportunity to interact and collaborate in the office are all a part of creating a great employee experience. 

To meet these needs, we are pleased to provide Flexible Hybrid work. Flexible Hybrid is a people-first approach that is based on choice, trust, personalization, and empowers teams to choose when and how often they work from the office and work from home, in addition to team days and company days. This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week.

HelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently. This includes tools that screen and assess candidate qualifications based on the requirements for this role. While these tools assist our workflow, all final selection decisions are made by our hiring team.

This is a posting for an existing vacancy. We are actively seeking to fill this position.

#LI-HYBRID

Okta Workflows is the foundation for secure integration between cloud services. By harnessing the power of the cloud, Okta allows people to quickly integrate different services, while still enforcing strong security policies. It integrates directly with an organization’s existing services, such as directories and identity systems, as well as many other applications.

With Okta Workflows, organizations can implement workflows quickly, easily, at a large scale, and low total cost. Hundreds of customers, including NTT, and MGM, trust Okta Workflows to help their organizations work faster, boost revenue, and stay secure.

Position Description: We are looking for a Principal-level engineer who is passionate about building and evolving the developer productivity ecosystem used by the entire Workflows Engineering organization.

As a productivity engineer, you’ll work with both our Engineering and Site Reliability teams, owning our developer CLI (Golang) and Kubernetes tooling, automated release processes, and CI/CD systems in CircleCI.

Job Duties and Responsibilities:

• Collaborate with the SRE and Engineering teams to manage, extend, and enhance existing developer productivity and platform tooling for local and remote Kubernetes environments
• Own and optimize CI/CD pipelines in CircleCI
• Assist in weekly release orchestration
• Automate and improve processes via Golang tooling and Okta Workflows

Minimum Required Knowledge, Skills, and Abilities:

• 10+ years of deep understanding of software engineering processes, agile framework, tools (e.g.: programming proficiency in a language, preferably Go or similar compiled language), methods, test development, algorithms, and data structures
• Experience with Cloud Native Technologies(Kubernetes, ArgoCD, Crossplane, Docker)
• Passionate about learning new technical ecosystems 
• Interested in working with container deployment and orchestration technologies at scale, with familiarity of the fundamentals to include service discovery, deployments, monitoring, scheduling, and load balancing

Preferred Qualifications:

• Experience with CI/CD Systems (such as CircleCI or Github Actions)
• Experience with development and deployment in a hosted cloud environment, preferably AWS

Education and Training: BS, MS, or PhD in Computer Science or related field

#LI-TM 

#LI-Hybrid 

P20683

The PAM Team

Ever wonder how large organizations make sure the right people can access their most critical systems? That's the problem the Okta Privileged Access Management (PAM)  team solves.

Our solution controls who can reach sensitive servers, databases and cloud resources and grants access only when it's needed. It is the security layer between people (and non-human-identities) and the systems they need to do their jobs.

The Staff Backend Engineer Opportunity

We are seeking a world-class Staff Engineer to help us architect and build the high-performance core of our non-human identity platform.

Your work, in close collaboration with our principal engineers and architects, will be the foundation of our strategy for managing privileged access in the modern enterprise. If you are a systems programmer who thrives on influencing the design of high-performance, concurrent, and resilient security software, this is the role for you.

What you’ll be doing 

• Contribute to Core Architecture: Partner with principal engineers and architects to design and implement a low-latency, high-throughput secrets engine for non-human identities
• Solve for Massive Scale: Write highly concurrent, performance-critical code capable of handling millions of machine-to-machine authentication and authorization requests
• Shape Technical Strategy: Play a key role in defining the long-term technical roadmap for scalability and performance, ensuring our platform can meet the demands of the largest enterprises
• Mentor and Elevate: As a senior engineer on the team, you will work with junior engineers to help them advance their SDLC expertise.
• On-Call: Participate in the rotational on-call activities with SRE and product development team

What you’ll bring to the role

• Required Experience:
  • 8+ years of professional software engineering experience, with a heavy focus on backend or systems-level development
  • Bachelor’s or Master’s degree in Computer Science, or equivalent practical experience
• Core Technical Expertise:
  • Deep, hands-on expertise in multi-platform Go development and building high-performance, concurrent applications
  • Experience designing or operating distributed systems
  • Experience with secure systems (authn/authz, encryption, TLS, token handling, PKI, CAs, diagnosing TLS issues)
  • Deep expertise in distributed storage systems, with a focus on replication, backup, and restore, and data management. (Postgres, etc.)
  • Direct experience designing, building, or contributing to a secrets management, service mesh, or machine identity platform
  • Expert-level at ergonomic API design (gRPC/openAPI), and building for reliability at scale
  • Deep knowledge of cloud-native infrastructure

And extra credit if you have experience in any of the following! 

• Experience at a leading Cybersecurity or Infrastructure-as-Code company
• Contributions to open-source projects in the identity, security, or infrastructure space

(P24956_3414025)

#LI-Hybrid 

#BB-1

The Okta Digital Credentials Team

The Okta Digital Credentials team is building the future of digital identity. The way we prove our identity online is undergoing a fundamental shift, moving from scanning physical documents to using secure, portable digital credentials. In a world with AI-driven fraud, one-time verification is no longer enough; the industry needs a reusable, tamper-proof way to prove identity at scale.

To address this massive need, our focus is on building a Verifiable Digital Credentials (VDCs) platform to power this new ecosystem. VDCs are reusable digital records that prove identity, qualifications, or skills instantly, giving holders control to share only what's necessary. We are responsible for the infrastructure, user-facing features, and business of verifying, issuing, and holding VDCs for enterprise customers. 

We are a small team of engineers, product managers, and designers who are bringing Okta’s expertise in identity to define the future of VDCs, focusing on open standards and interoperability.

The Staff Software Engineer Opportunity

As a Staff Backend Engineer on the Okta Digital Credentials (ODC) team, you will define the technical direction of a new VDC identity ecosystem and set the standard for how we build it. 

This role demands deep technical expertise in backend architecture and the ability to influence decisions across the team and adjacent engineering groups. You will thrive in a fast-paced, zero-to-one environment, cutting through ambiguity to drive product-market fit.

A distinctive part of this role is setting the team's standard for AI-native engineering. This isn't about using autocomplete faster - it's about rethinking how a small, senior team ships production-quality code at pace. In practice, that means using AI tools for architectural reasoning and design review, generating and validating test coverage, accelerating code review cycles, and helping engineers build judgment about when AI output is trustworthy and when it isn't. You'll define what "good" looks like here and bring the team along.

You'll also be a force multiplier - mentoring senior engineers, raising the technical bar through architecture.

What you’ll be doing 

• Proactively shape the technical strategy and architecture of a greenfield VDC identity ecosystem, partnering with principal engineers to ensure decisions prioritize open standards and interoperability.
• Own architectural decisions in a fast-moving environment - balancing rapid delivery with long-term scalability, security, and platform integrity. Identify and mitigate technical risks before they become blockers; escalate dependencies early and widely.
• Own production health for your systems - incident response, root cause identification, and driving operational improvement projects (monitoring coverage, alert reduction, runbook quality).
• Champion high engineering standards across the team, including rigorous code reviews, comprehensive unit/functional testing, and architectural review processes to ensure the platform is tamper-proof.
• Drive continual evolution in the adoption of AI-native development practices, helping the team rethink how we design, review, and ship software with AI as a core part of the workflow.
• Proactively identify and prioritize tech debt; drive improvements in areas beyond feature work - CI/CD, observability, documentation, reliability, and support processes.
• Partner with Product and Design to understand and own the desired customer outcome, not just the technical deliverable.
• Actively invest in the growth of peer engineers, taking responsibility for raising the technical bar of the team as a whole

What you’ll bring to the role

• Operates well beyond basic AI tool usage - understands how to apply AI meaningfully across the full software development lifecycle, can evaluate and adopt new AI tooling with good judgment, and is able to establish practices and bring a team along.
• Proven experience defining scalable backend architectures and integrating complex APIs with modern web technologies - including the ability to make and defend architectural decisions with lasting org-wide impact.
•  Solid understanding of web authentication and authorization fundamentals - how auth flows work, token-based access (JWT, OAuth), and best practices for securing sensitive user data.                                                                                                                                               
• Deep expertise in building highly reliable, secure, enterprise-grade software using Java or Node.js.
• Proficiency in JavaScript or TypeScript, with the ability to navigate and contribute to the frontend to unblock feature development.
• Strong understanding of cloud architecture principles, with experience designing and operating large-scale services on AWS

And extra credit if you have experience in any of the following! 

• Hands-on experience with identity protocols such as OIDC4VP, OIDC4VCI, OAuth, and the W3C Verifiable Credentials data model.
• Prior experience leading a team of engineers through a meaningful shift in ways of working - whether around AI adoption, developer tooling, or engineering culture change.
• Practical knowledge of cryptography: public/private key infrastructure (PKI), digital signatures, and hashing, particularly in the context of Verifiable Credentials or DIDs.
• Experience building or maintaining publicly released SDKs used by external developers.
• Experience in one of the following areas is preferred: developing Identity and Access Management (IAM) tooling, working with blockchain technology, or contributing to a "zero-to-one" startup-like team

P10423_3338831

#LI-Hybrid

#BB1

Tenstorrent is seeking a highly skilled and experienced Engineer to lead post-silicon power characterization and correlation activities for cutting-edge semiconductor products. In this role, you will be responsible for developing and executing detailed power measurement strategies on silicon, correlating results with pre-silicon models, and driving improvements across power architecture, design, and modeling methodologies. You will serve as a key technical leader, interfacing across design, architecture, validation, and systems teams to ensure silicon meets power and performance specifications under all operating conditions.

This role is hybrid, based out of Toronto, ON or Austin, TX or Santa Clara, CA.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who you are

• A Principal-level engineer with 8+ years in silicon power analysis and characterization, and a Master’s or PhD in EE, CE, or related field.
• Deep understanding of digital and mixed-signal power domains, including DVFS, leakage vs. dynamic power, and power gating.
• Highly proficient in lab-based power measurement using oscilloscopes, current probes, power analyzers, and SMUs, plus Python/Perl/MATLAB for automation and analytics.
• A strong debugger and collaborator, comfortable driving cross-functional investigations and clearly communicating technical findings.

What we need

• Own the post-silicon power measurement strategy end-to-end across operating modes, voltages, frequencies, and workloads.
• Build and maintain lab infrastructure, automated workflows, and data analysis pipelines for high-fidelity, repeatable power characterization.
• Correlate silicon power data to pre-silicon models (RTL, gate-level, sign-off), drive root-cause analysis, and refine power estimation methodologies with design and modeling teams.
• Characterize power across PVT corners and work with bring-up/validation teams to develop test content, debug power anomalies, and ensure products meet power and performance specs.

What you will learn

• How state-of-the-art SoCs behave in real silicon across diverse workloads, system configurations, and operating conditions.
• How to influence power architecture, RTL design, and modeling flows by feeding silicon insights directly back into early design phases.
• Best practices for building scalable, automated post-silicon power infrastructures that support multiple products and generations.
• Advanced correlation, margining, and variability analysis techniques that deepen your expertise in both SoC-level power and system-level behavior.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Overview:

Guidepoint’s Engineering team thrives on problem-solving and creating happier users. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to improve our internal application architecture and create new products to optimize the seamless delivery of our services.

This position is hybrid in Toronto.

What You’ll Do:

• Service Decomposition — Breaking apart a monolithic enterprise application into well-bounded, independently deployable services. You'll define service boundaries, design APIs and contracts between them, and plan a phased migration strategy that keeps the business running while the architecture evolves.
• Data Migration — Leading the migration from a large, centralized multi-tenant database to smaller, domain-specific databases. This includes designing the target schemas, building migration tooling, handling data integrity and validation, and coordinating cutover with minimal downtime.
• Developer Experience & Standards — Establishing patterns, shared libraries, and CI/CD practices that make it easy for the rest of the engineering team to build on the new architecture with confidence.

What You Have

• 8+ years of experience in backend or full-stack engineering, with a demonstrated history of owning and delivering complex technical initiatives in enterprise environments.
• Architect Mindset with IC Ownership — You operate independently, make sound technical decisions, and drive projects from design through delivery without needing to be managed.
• Modernization Expertise — You have a track record of migrating or re-architecting legacy codebases into modern, maintainable systems without disrupting business continuity.
• Builder of New Services — You can design, build, and ship greenfield services end-to-end with production-grade quality.
• Fast-Paced Execution — You thrive in environments that value speed and iteration. You unblock yourself and move quickly without sacrificing quality.
• AI-Augmented Engineering — You actively leverage AI-assisted development tools (Cursor, etc.) to accelerate your workflow, and you know how to validate and monitor AI-generated output to ensure correctness and reliability.
• Backend & APIs — Strong Python proficiency with hands-on FastAPI experience.
• Ability to design and build performance, well-structured REST and GraphQL APIs.
• Databases — Deep experience with relational databases — PostgreSQL and/or SQL Server. Proficient in schema design, query optimization, and migrations.
• Messaging & Events — Working knowledge of asynchronous messaging patterns using RabbitMQ, Azure Service Bus, and/or Azure Event Hub.
• Infrastructure & CI/CD — Experience with containerized deployments on Kubernetes (K8s) and building/maintaining CI/CD pipelines (Azure DevOps, or similar).
• Frontend — Comfortable contributing to frontend codebases in React and TypeScript. You don't need to be a frontend specialist, but you can ship UI changes when needed.
• Observability — Hands-on experience with Datadog or equivalent platforms for monitoring, logging, distributed tracing, and alerting in production systems.

What We Offer:  

The annual base salary range for this position is $160,000 - $180,000. Additionally, this position is eligible for an annual discretionary bonus based on performance.

You will also be eligible for the following benefits:

• Paid Time Off
• Comprehensive benefits plan
• Company RRSP Match
• Development opportunities through the LinkedIn Learning platform

About Guidepoint: 

Guidepoint is a leading research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we help our clients to turn answers into action.

Backed by a network of nearly 1.75 million experts and Guidepoint’s 1,600 employees worldwide, we inform leading organizations’ research by delivering on-demand intelligence and research on request. With Guidepoint, companies and investors can better navigate the abundance of information available today, making it both more useful and more powerful.

At Guidepoint, our success relies on the diversity of our employees, advisors, and client base, which allows us to create connections that offer a wealth of perspectives. We are committed to upholding policies that contribute to an equitable and welcoming environment for our community, regardless of background, identity, or experience.

#LI-SP1

#LI-HYBRID

About the Role:

We are seeking an experienced Principal Software Engineer (Data) to join our fast-paced, collaborative data team. In this role, you will have broad authority to drive the direction of our technographic data services, building world-class data pipelines and systems to process billions of signals and data points. This is an exciting opportunity to solve challenging problems and make a big impact as we invest in making technographics a first-class offering.

What You'll Do:

• Build and optimize big data pipelines to extract and process signals from the web, job postings, and other sources
• Design and implement data architectures and storage solutions to efficiently handle massive data volumes
• Collaborate closely with data scientists to support and integrate ML models into data workflows
• Continuously improve data quality, performance, and scalability of our technographic data platform
• Drive technical strategy and roadmap for the data processing infrastructure.

What We're Looking For:

• Extensive experience building and scaling big data pipelines and architectures from scratch
• Deep expertise in big data frameworks (Hadoop, Spark) and the JVM stack (Java, Scala)
• Strong software engineering fundamentals and ability to write efficient, high-quality code
• Experience with entity recognition and NLP techniques a plus
• Proven track record delivering results and driving projects in a fast-paced environment
• Excellent collaboration and communication skills to work with data scientists, analysts and product teams
• Passion for leveraging huge datasets to power valuable insights.

Ideal Background:

• 10+ years of experience in software engineering roles.
• Experience working with very large datasets and distributed systems
• Familiarity building data pipelines at large tech companies or data-driven organizations
• Bachelor's or advanced degree in Computer Science, Engineering or related technical field.

#LI-SK1

#LI-Remote

About the Role:

As a Software Engineer on the ML Infrastructure team, you will collaborate closely with the Machine Learning and Product teams to build world-class machine learning inference platforms. These platforms power essential services like personalized recommendations, search, and content understanding across Tubi.

A core responsibility of this team is developing and maintaining low-latency ML model serving systems that support Deep Learning, LLM, and Search models. This involves building self-service infrastructure and critical components such as the inference engine, feature store, vector store, and experimentation engine.

You will improve the way we deploy and operate our services and even contribute to open-source projects. This role grants the architectural freedom to explore new frameworks, lead critical cross-functional projects, and transform the capabilities of our ML and Product teams.

We currently have multiple openings;

• Staff Software Engineer
• Principal Software Engineer
  • Additional Details: As a Principal Engineer on the ML Infrastructure team, you will be a technical leader and visionary, driving the evolution of our machine learning platform. You will tackle the most complex and impactful technical challenges, shaping the architecture and technology choices that enable our ML capabilities to scale and deliver exceptional user experiences. You will be a key influencer, bridging the gap between engineering and product, and a mentor to senior engineers, fostering a culture of technical excellence and continuous improvement. Your work will be used by millions of users.

Responsibilities:

• Design and build scalable, high throughput, and low latency distributed systems using Scala
• Build reusable components and services that serve various ML applications like Personalization, Search, Ads and Exploration
• Partner closely with ML engineers to understand their challenges and limitations and develop scalable solutions to address them. Proactively recommend solutions to keep our ML Inference stack state of the art.
• Take a data driven approach to identifying & optimizing latency, cost, and efficiency of our infra. Lead large scale cross functional refactorings if necessary
• Mentor other engineers on the team on system design, effective incident management, interviewing, leveraging LLMs for work, etc.
• Collaborate with ML, Product, and cross functional engineering teams to define the long term vision and architecture for ML Infrastructure at Tubi.  

Your Background:

• Experience designing and building scalable, distributed systems in any modern backend language (e.g., Scala, Java, Python, Go, C++); experience with Scala or JVM based language is a plus.
• Strong experience with AWS or an equivalent cloud platform
• Experience building online microservices at scale with low latency serving
• Experience with both SQL (e.g. Postgres) and NoSQL databases (e.g. Cassandra), message brokers (e.g. Kafka), and caches (e.g. Redis)
• Experience with containerization technologies, such as Docker or Kubernetes
• Led the response and resolution efforts for multiple major, large-scale incidents

Bonus:

• Familiarity with the machine learning infrastructure like inference engines (e.g. torschserve, triton, vLLM), vector stores (e.g. LanceDB, FAISS), feature stores (e.g. Feast), ElastiCache, model training orchestration, etc.
• Understanding of ML model training pipelines and model internals. Experience with Recommender Systems, Search, Autocomplete and Ads ML is a plus
• Previous experience with Akka, Erlang, Elixir or Go
• Proficient in data-driven analysis of complex A/B testing results

About Tubi:

Tubi is a free streaming service that entertains over 100 million monthly active users. Tubi offers the world's largest collection of Hollywood movies and TV shows, thousands of creator-led stories and hundreds of Tubi Originals made for the most passionate fans. Headquartered in San Francisco and founded in 2014, Tubi is part of Tubi Media Group, a division of Fox Corporation.

#LI-Hybrid

About the Role:

The Machine Learning team at Tubi drives the innovation behind personalized user experiences.  With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding and ads optimization that shape the future of streaming.

We are seeking a highly skilled Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions.

What You'll Do:

• Lead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience
• Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas
• Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment
• Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences.
• Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement

Your Background:

• 8+ years of industry experience building production Machine Learning systems
• MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field
• Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks
• Proficiency in building and deploying full-stack machine learning pipelines: data extraction, data mining, model training, feature development, testing, and deployment.
• Solid understanding of statistical concepts such as hypothesis testing, regression analysis, and performance evaluation metrics for machine learning.
• Ability to deep dive into individual components and systems, as well as understand the overall architecture of machine learning solutions.

#LI-Hybrid #LI-SC1

Job Description:

As an Analog/Mixed-Signal IC Design Engineer, you will be part of a key team designing sophisticated advanced node CMOS products. Your responsibilities will include developing and verifying circuits such as PLL, DLL, ADC, regulators, amplifiers, TX, RX, and CDRs to meet performance targets. You will also work on analog and clocking blocks for connectivity applications, using industry-standard tools like Spectre and MATLAB. The company seeks a highly motivated designer for this role

Basic Qualifications:

• Strong academic and technical background in electrical engineering. A Master’s or PhD degree in EE is required, preferably from a top-tier university.
• 8+ years of experience supporting or developing complex analog IC designs.

Required Experience:

• Hands-on experience in designing high-speed mixed-signal circuits including ADC/DAC data converters, RX front-end, TX driver/serializer, low-jitter PLLs, TX/RX calibration, low-jitter CLK distribution are other high-speed analog circuits is a must
• Have a deep understanding of biasing, band-gaps, reference circuits, opamps, comparators and other analog circuits
• Solid track-record for implementation of analog circuits high-speed data transmission.
• Design and tape out experience in advanced CMOS nodes (ex. 7nm, 5nm 3nmFinFET) is a must.
• Solid fundamentals in detailed transistor-level design, feedback/stability analysis, and noise/jitter analysis.
• Knowledge of TIA design and drivers for optical applications is highly desirable
• Experience in RFIC design for wireless or wireline communication systems is highly desirable.
• Strong technical independent contributor with a proven ability to drive results.
• Excellent teamwork, presentation, and documentation skills.
• Ability to collaborate with global teams across multiple time zones and deliver under pressure with strict deadlines.
• Strong experience in lab chip bring-up and debugging efforts.

Preferred Experience:

• Relevant research publications and/or patents in analog or RF IC design.
• Familiarity in programming/scripting languages such as Python, Matlab, or C.
• Experience with PCB design.
• Familiarity with Verilog RTL or DSP design concepts.
• Knowledge of optical transceivers.
• Expertise in ESD protection techniques and IC packaging methodologies.

 Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

The Opportunity

We are looking for a Key Account Director to lead growth within a set of Postman’s most important enterprise accounts. This role is part of a new strategic go-to-market motion designed to deepen our engagement with large enterprises, expand our footprint, and deliver the full value of the Postman platform.

You will be paired with a pod that includes a Principal Solutions Engineer and a Field CTO, forming a high-caliber account team focused on building long-term, value-based relationships. Together, you’ll engage senior technology leaders, uncover complex challenges, and drive adoption of Postman’s enterprise and platform solutions at scale.

This is not a traditional “low-hanging fruit” sales role—this is about strategic account expansion, multi-threaded enterprise engagement, and solution selling.

Location: This is a fully remote position. We are looking for someone who is able to travel to customers in their territory. 

What You’ll Do

• Own and grow a portfolio of strategic enterprise accounts (e.g., Fortune 500, cloud-first companies, large-scale developer organizations).
• Deeply engage with senior buyers—CIOs, CTOs, VPs of Engineering, Platform, Security, and Collaboration—to position Postman as a critical platform solution.
• Drive multi-threaded sales campaigns that expand existing usage and convert massive developer adoption (tens of thousands of users) into enterprise-wide value.
• Lead complex solution sales cycles across collaboration, security, API governance, and emerging AI-enabled workflows.
• Identify customer pain points and design tailored value propositions that demonstrate ROI and impact at scale.
• Orchestrate cross-functional engagement with Customer Success, Product, and Marketing to maximize customer outcomes.
• Track, forecast, and report on account progress, pipeline health, and business results.
• Be a thought partner to your accounts, staying ahead of industry trends like agentic AI, workflow automation, and cloud-native development.
• Partner with relevant stakeholders to drive account strategy and expansion.

About You

• 10–15 years of enterprise sales experience, with a proven track record in strategic account management and expansion.
• Experience selling technical and platform products (developer tools, SaaS platforms, cloud infrastructure, or security solutions).
• Demonstrated success in solution selling—engaging with senior technology leaders and driving multi-million dollar expansion deals.
• History of working long cycles and successfully growing accounts over time.
• Ability to navigate large, complex organizations with thousands of users and multiple stakeholders.
• Collaborative mindset with experience working closely with technical teams (solutions engineers, architects, CTOs).
• Deep understanding of enterprise buyer personas (security, collaboration, platform, developer productivity).
• Curiosity and fluency in emerging technologies, particularly AI/agentic AI, and how they can automate workflows and deliver customer value.
• Strong executive presence, relationship-building skills, and the ability to influence at the C-suite level.

Why Join Us

• Be part of an innovative sales model at one of the fastest-growing developer platforms in the world.
• Partner with world-class colleagues in a pod structure designed to maximize customer impact.
• Work with some of the largest and most innovative technology companies on the planet.
• Play a key role in shaping how Postman goes deeper into enterprise accounts and accelerates platform adoption.

About Us

Nubank was founded in 2013 to free people from a bureaucratic, slow and inefficient financial system. Since then, through innovative technology and outstanding customer service, the company has been redefining people's relationships with money across Latin America. With operations in Brazil, Mexico, and Colombia, Nubank is today one of the largest digital banking platforms and technology-leading companies in the world. Nubank was listed on the NYSE in 2021 and was recently named one of Time Magazine's 100 Most Influential Companies. For more information, visit www.nu.com.br.

About the Role

At Nubank, our Credit Card platform is the core of our global expansion. We are looking for a Staff Engineer to join our platform team as a technical anchor, ensuring our systems remain scalable and flexible as we maintain sustainable growth and innovation in the countries where we currently operate, while also launching into new international markets. You will play a vital role in evolving the architecture of one of our most complex and strategic products.

You will operate within a high-impact triad alongside Product and Management, focusing on long-term technical strategy and system health. As a hands-on technical leader, you will challenge the status quo, propose innovation and solve deep architectural problems, mentor and become a technical reference for our engineering team. Your work will directly enable millions of customers to access financial products via credit card worldwide.

Responsibilities

• Define and drive the long-term vision and strategy for the global architecture of the core credit card platform, ensuring exponential scalability and continuous evolution capability.
• Lead the strategic partnership with Product and Business leadership (C-level and VPs) to shape the medium and long-term technical roadmap and define the strategic OKRs and global impact KPIs.
• Act as a technical and cultural reference, defining the highest standards of engineering excellence, mentoring other Architects and Principal/Staff Engineers, and fostering a culture of innovation and accountability.
• Lead and resolve the most ambitious and high-risk technical challenges, intervening in critical performance or resilience bottlenecks and driving technical execution for solutions with multi-system and multi-country impact.
• Design and oversee the execution of complex system transformations (e.g., core banking migrations, replacement of legacy platforms) ensuring regulatory compliance in multiple jurisdictions and fiscal regimes, proactively mitigating risks.
• Communicate and defend the technical strategy eloquently and convincingly to the executive board and non-technical audiences, translating architecture decisions into business value and competitive advantage.

Required Qualifications

• Principal/Staff Engineer level experience or equivalent with an extensive and demonstrable history in architecting and scaling mission-critical, high-volume, and low-latency systems in global fintech or e-commerce environments.
• Expert proficiency (demonstrated in code and design) in multiple programming paradigms, with significant hands-on experience in functional programming (e.g., Clojure, Scala, Haskell) and reactive/event-based architectures.
• Proven ability to establish and lead the long-term technical strategy for entire platform ecosystems (not just isolated components), influencing the direction of multiple engineering groups.
• Deep and successful experience in navigating and defining the architecture in highly regulated financial environments (e.g., BACEN, FCA, SOX) and designing systems to meet data residency requirements and complex cross-border transactions.
• History of successfully leading and completing large-scale platform transformations (e.g., transition from monoliths to microservices mesh, migration of data centers or clouds), managing risks and operational impact.
• In-depth knowledge of credit card/payment systems design is a significant differential.

Nice to Have

• Experience with Clojure or similar functional languages.
• Proven interest or experience in leveraging AI to optimize engineering workflows.
• Deep domain knowledge of credit card processing or financial ledgers.

Location & Work Model

This role is based on a hybrid model at one of our Nubank offices in Brazil (São Paulo, Campinas, Rio de Janeiro, or Belo Horizonte), the United States (Palo Alto, Durham, Washington D.C. or Miami), or Canada (Toronto).

Location-Specific Disclosures

Total compensation includes base salary, RSUs and benefits.
Toronto base salary range (CAD): $192.000 - $288.000
Palo Alto base salary range (USD): $230.400 - $288.000

Diversity & Inclusion / Equal Opportunity

At Nubank, we believe that diversity is essential to building the best products and services. We are committed to creating a welcoming work environment that respects and values diversity in all its forms, and we encourage people from all backgrounds to apply. We are proud to be an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

If you need accommodations during the application or interview process, please let us know.

This offer is conditional on meeting all applicable regulatory eligibility requirements and successful completion of background checks.

As Marqeta’s Principal Software Engineer on the Core Issuing & Processing team, you will work across the entire domain to stand up and drive high-impact projects for our customers from inception to completion. You will take on highly technical initiatives that optimize our issuing and processing engines, own the technical roadmap for the core platform, and partner with engineering leaders to drive engineering and operational excellence throughout the organization.

We work Flexible First. This role can be performed remotely anywhere within Ontario or British Columbia, Canada. We’d love for you to join

The Core Issuing and Processing team owns the foundational stack that powers Marqeta's core business. We develop and maintain the systems that span six critical domains: Onboarding, Issuing, Digital Wallets, Authorization & Clearing, Transaction Controls, and Ledger. Together, these systems form the backbone of Marqeta's card issuing and payment processing platform.

The Impact You’ll Have

• Own the technical roadmap and author system designs that enable scalable, secure, and operationally efficient card issuing and payment processing products for our customers.
• Spend significant time in the codebase – writing, reviewing, and optimizing code across the issuing and processing stack.
• Identify and drive high-impact technical initiatives that improve the performance, reliability, and cost-efficiency of our core processing engines.
• Collaborate with Product Managers to analyze requirements and provide technical recommendations across onboarding, issuing, digital wallets, authorization & clearing, transaction controls, and ledger.
• Mentor and guide technical leads, influence stakeholders, and establish success metrics to drive organization-wide technical excellence.
• Apply and evangelize modern best practices in your software designs and implementations to increase the platform's resiliency and scalability.

Who You Are

• 12+ years of hands-on software engineering experience.
• Demonstrated passion for software engineering excellence, including design principles, fault tolerance practices, scalability, cost, security & privacy considerations, and test-driven development.
• Experience partnering with product teams to ideate and bring innovative solutions to market.
• Experience developing and scaling microservices using modern cloud technologies, preferably AWS.
• Experience working with high volume / low latency data infrastructures.
• Solid understanding of security engineering best practices and demonstrable experience in designing solutions that adhere to those standards.
• Passion for non-functional challenges, namely: Scale, Cost, Reliability, Performance, High Availability.
• Experience building systems running in multiple regions.
• Team-oriented approach – can effectively lead a project, participate as an influential team member, and work cross-functionally with other organizations.
• Experience with our tech stack, namely Java, Springboot, Kubernetes, Terraform, Helm, Kafka, JPOS, and AWS services.
  
  

Nice-To-Haves

• Master's degree in Software Engineering.
• Experience in payment processing, card issuing, or the payments industry.
• Domain experience in authorization, clearing, settlement, tokenization, or ledger systems.

Your Manager

• Arash Afrooze, Sr Director, Software Engineering

Recruiter For This Role

• Prashant

Typical Process

• Application Submission
• Recruiter phone call
• Hiring manager video call
• Virtual “Onsite” consisting of 4-5, 45 min calls

Compensation and Benefits

Marqeta is a Flex First company which allows you to choose your best working environment, whether that be from home or at a company office. To support Flex First, we calibrate pay to a competitive value according to working location. 

When determining salaries, we consider several factors including, but not limited to, skills, prior experience, and work location. The new-hire base salary range for this position, reflected in CAD,  is: 207,600 - 259,500

We also believe in recognizing the contributions of our people. That's why we award annual bonuses to eligible employees, rewarding both individual performance and the success of the entire company.

Along with monetary compensation, Marqeta offers

• Multiple health insurance options
• Flexible vacation time
• Retirement savings program with company contribution
• Equity in a publicly-traded company 
• Monthly stipend to support our remote work model
• Annual “development dollars” to support our people growth and development
• Family-forming benefits and up to 20 weeks of Parental Leave

Principal Engineer, Identity- Job Description 

Company overview  

Kaseya is the category leader in a fast-growing MSP market but still early in realizing its full potential. Over the last decade, Kaseya has built a powerful product portfolio through an aggressive M&A strategy. Today, that portfolio spans IT Management, Cybersecurity, and Cyber Resilience, powering more than 45,000 Managed Service Providers (MSPs) and protecting over 50 million endpoints worldwide. Yet the company is still in the early innings of its full potential. With the right strategy, we see a path to becoming an essential software platform for MSPs (and the SMBs they serve) and Internal IT teams at MMEs (mid-market enterprises)—defined by world-class innovation, and customer love at scale delivering a sustained 20–25% growth. 

Role overview 

This is a foundational leadership role; the work here impacts how every product, customer, and partner experiences Kaseya. Role will be responsible for building and executing the Identity and API strategy for Kaseya's platform.  

This position demands deep technical expertise in Identity platforms combined with strategic product thinking and cross-functional collaboration. This role will work closely with product, security, legal, sales, and marketing teams across the organization to build foundational capabilities that become force multipliers for the entire platform. This role shapes the core platform layer that enables engineering teams to build, automate, and operate software and AI-enabled systems reliably at scale.  

What will you do 

What You'll Do As a Principal Engineer, you will be the technical north star for our IAM and Control Plane strategy. Your role transcends individual features; you will be responsible for the long-term health and architectural evolution of our identity systems. Own the end‑to‑end technical design of IAM services, including identity lifecycle management, authentication, authorization, SSO, and privileged access controls, ensuring they are secure, scalable, and highly available. 

• Architectural Leadership: Lead the design and evolution of a secure, high-throughput, low-latency IAM systems that power both customer-facing and internal service APIs. Lead design and implementation of IAM integrations for SaaS, on‑prem, and cloud platforms, including federation (SAML, OIDC, OAuth), MFA, and Passwordless capabilities. 

• Technical Strategy: Define the roadmap for migrating or scaling our legacy authentication and authorization systems into modern, distributed architectures. 

• Cross-Functional Influence: Work closely with Product, Security, and UX teams to translate complex business requirements into robust, secure technical specifications. 

• Mentorship & Excellence: Set the standard for engineering excellence through deep code reviews, technical design documents, and mentoring senior engineers. 

• Operational Stewardship: Oversee the reliability of a platform under constant load, ensuring observability and resilience are baked into the core of the system.  

Required Experience (Must-Have Skills)  

• Extensive Experience: 10+ years of professional experience building and managing software applications at a massive scale (with at least 5 years at Sr Staff or Principal level). 

• Identity Domain Expertise: Deep understanding of IAM protocols (OAuth2, OIDC, SAML), RBAC/ABAC models, and the security implications of session management at the edge. Experience with Active Directory and extensive experience implementing federation protocols (SAML, OIDC, OAuth2). 

• Experience in Data Security or related areas and expertise in following--Authentication, Network, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus. 

• Distributed Systems Mastery: Proven track record in designing, architecting, and debugging large-scale distributed systems that handle global traffic. 

• Language Proficiency: Deep knowledge of Go, Java, TypeScript, Rust, or similar is highly valued. 

• API Stewardship: Significant experience designing and versioning public-facing APIs that are used by millions of developers.  

• Recruit and mentor top-tier engineering talent to scale our security infrastructure. 

Desirable Skills & Experience  

• Observability Advocate: A passion for building "observable" systems using Prometheus, Grafana, and Kibana to proactively identify failures. 

• Infrastructure as Code: Experience with modern containerized deployment (Docker & Kubernetes), Terraform, and infrastructure automation. 

• Security Mindset: A background in security engineering or formal verification of protocol implementations. 

• Strategic Delivery: A history of leading multi-quarter projects from conception to global rollout in partnership with product owners.  

Position Overview:

Come join the team at Zynga making an impact across all of the company’s games - Central Technology! We focus on shared client & server tech that drives the core gameplay experience under the hood. We’re looking for outstanding engineers with a passion for technology and the desire to work in a team with dynamic strengths. The Principal Software Engineer will be working with a complementary team of software engineers to craft and maintain Zynga’s core Payments platform, which enables flawless integration with app stores, consoles, and payments processing providers. They will play a key role in helping architect, build and improve the next-gen framework for our games.

What You'll Do:

• Design and architect new backend applications/services running in AWS
• Optimize and refactor existing services to improve reliability, scalability and to lower cost
• Document and build plans for architecture and system designs
• Take a hands-on approach in architecting, writing and reviewing code
• Review detailed tech plans from others, aligning with the team and Zynga-wide technical vision
• Proactively identify and recommend improvements to address systemic problems and tech debt
• Follow engineering standard methodologies to ensure code quality, performance and reliability
• Work collaboratively across teams to understand product/customer requirements and propose technical solutions
• Provide production and integration support for shared technology across Zynga games

What You Bring:

• Degree in a technical field (e.g., Computer Science, Computer Engineering) or equivalent experience
• 6+ years of hands-on software development experience
• Experience in programming RESTful services using Java
• Solid understanding of backend server applications and web services
• Strong familiarity and experience using AWS and/or other cloud computing platforms (IaaS, PaaS, SaaS)
• Strong familiarity and experience with database systems (SQL, NoSQL)
• Experience with C#/C++ and mobile client development is a strong plus
• Familiarity with containers and Kubernetes
• Familiarity with web development using JavaScript, Angular, and/or React
• Deep understanding of algorithms, design patterns, debugging and performance optimization
• Experience in object-oriented design of applications/systems
• Experience with agile development methodologies and tools
• Excellent interpersonal skills - particularly the ability to discuss timelines, design concerns, work with distributed teams, and provide effective feedback to team members
• Experience working with AI tools

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 Toronto at the start of employment is expected to be between $114,300 and $164,300 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.

Job Summary

The Principal Software Engineer - Cloud Native and SASE focused will lead the design and implementation of a cloud-native, multi-tenant SASE solution and its interaction with a globally distributed customer network. This is a hands-on architecture role responsible for defining how customer traffic is managed across regions and gateways, while shaping scalable, resilient, and cost-efficient platform capabilities. The role is critical to delivering production-grade distributed systems that improve performance, availability, multi-tenancy, and operational efficiency.

Roles & Responsibilities

• Lead the architecture and technical design of SASE control-plane services that manage tenant configuration, policy, routing, lifecycle, and per-tenant usage across regions.
• Define and implement orchestration patterns for configuration, telemetry, and lifecycle management across a distributed gateway fleet.
• Design scalable and highly available cloud-native systems that support dynamic gateway scaling, failover, multi-AZ deployment, and multi-region traffic management.
• Evaluate and design multi-tenancy models, including siloed, pooled, containerized, and hybrid approaches, with clear trade-off analysis across scale, isolation, performance, and cost.
• Partner closely with data-plane teams to define APIs, traffic flows, and policy enforcement mechanisms for tunnels, routing, roaming, private-network connectivity, and gateway interactions.
• Establish deployment methodologies and engineering standards for CI/CD, infrastructure as code, observability, rollouts, and resilience in partnership with DevOps and SRE teams.
• Provide technical leadership by breaking architecture into executable roadmaps, writing and reviewing code, mentoring senior engineers, and influencing technical direction across multiple teams.
• Drive platform efficiency and COGs optimization through architecture decisions, resource utilization improvements, and operational scale strategies.

Required Qualifications

• 10+ years of experience building large-scale distributed systems in SaaS, networking, or security platform environments.
• 3+ years of experience in a Staff, Principal, or Architect-level role with end-to-end ownership of architecture and delivery.
• 5+ years of experience working with SASE, SSE, SD-WAN, secure web gateway, cloud firewall, VPN, or ZTNA technologies, including large-scale gateway or concentrator deployments.
• 3+ years of hands-on experience designing or supporting multi-tenant architectures, including tenant-aware configuration, telemetry, usage controls, and resource isolation models.
• 3+ years of production experience with containers, Kubernetes, cloud-native service design, autoscaling, resilience patterns, and multi-region deployments.

Preferred Qualifications

• 3+ years of experience working with data plane concepts such as IPSec, WireGuard, TLS-based tunnels, routing, policy enforcement, and private-network connectivity.
• 3+ years of experience with CI/CD pipelines, infrastructure-as-code tools such as Terraform or CloudFormation, and observability frameworks for distributed systems.
• 3+ years of experience with private or public cloud platforms such as AWS, OCI, or similar cloud environments.
• Strong hands-on experience with backend engineering languages such as Go, Java, C++, Rust, or similar systems languages.
• Experience with distributed systems technologies including Kafka, Redis, Cassandra, ELK stack, or similar messaging, data, and observability platforms.
• Demonstrated ability to mentor senior engineers, influence architecture across multiple teams, and translate complex technical strategy into executable delivery roadmaps.

Viral Nation is seeking an AI Integration Engineer, AI/ML to serve as the primary technical engine translating high-level architectural visions into production-ready reality. Reporting directly to the Principal Architect, AI/ML and VP of Engineering, you will be responsible for the hands-on development, integration, and deployment of AI/ML models and agentic workflows within our GCP ecosystem.

What You'll Do Here:

• You will transform the Principal Architect’s reference architectures into scalable, deployable code using Python, GKE, and Cloud Run.
• Your primary focus involves building out agentic ecosystems using Google ADK (Agent Development Kit) and Model Context Protocol (MCP), specifically focusing on the Agent-to-Agent (A2A) orchestration patterns defined by the Architect.
• You will apply advanced prompt engineering and context engineering techniques to optimize LLM performance, ensuring agents maintain state and accuracy over long interactions.
• You will develop and tune high-fidelity RAG pipelines using the Google RAG Engine and Agent Engine to ensure agents have the precise context required for influencer marketing workflows.
• The role requires applying machine learning techniques to our massive datasets to implement automated anomaly detection, forecasting, and trend analysis.
• You will perform advanced data science and analysis by generating and querying high-dimensional video and text embeddings to extract insights from social media content.
• You will integrate Gemini and Model Garden LLMs into production applications while managing the technical nuances of token limits and context window optimization.
• Partnering with the Architect, you will implement MLOps practices that track agent performance, cost-efficiency, and ethical AI safeguards within the GCP IAM framework.

What You'll Need To Have:

• Advanced proficiency in Python is required for AI/ML backend development, data analysis, and API construction.
• You must possess a deep understanding of prompt engineering strategies (Chain-of-Thought, ReAct) and context engineering to maximize model reasoning capabilities.
• The position demands deep hands-on experience with Google ADK, MCP, Vertex AI Pipelines, and the Google RAG Engine.
• You should have practical experience applying classical ML algorithms for regression, forecasting, and anomaly detection on large-scale datasets.
• The role requires a strong understanding of vector databases and the manipulation of video/text embeddings for semantic search and classification.
• Deep experience with utilizing GitHub Actions to support the SDLC workflows and CI/CD standards established by the Principal Architect.

Nice To Haves

• Experience utilizing Snowflake Cortex Analyst, Cortex Search, and Snowflake Intelligence ecosystem.
• Proficiency in Node.js for full-stack integration layer and tool development is highly regarded.
• Prior experience in the digital marketing or influencer marketing space is a significant advantage.
• Experience with containerization and orchestration using Docker and GKE will help scale our autonomous systems.

Viral Nation is seeking an AI Integration Engineer, AI/ML to serve as the primary technical engine translating high-level architectural visions into production-ready reality. Reporting directly to the Principal Architect, AI/ML and VP of Engineering, you will be responsible for the hands-on development, integration, and deployment of AI/ML models and agentic workflows within our GCP ecosystem.

What You'll Do Here:

• You will transform the Principal Architect’s reference architectures into scalable, deployable code using Python, GKE, and Cloud Run.
• Your primary focus involves building out agentic ecosystems using Google ADK (Agent Development Kit) and Model Context Protocol (MCP), specifically focusing on the Agent-to-Agent (A2A) orchestration patterns defined by the Architect.
• You will apply advanced prompt engineering and context engineering techniques to optimize LLM performance, ensuring agents maintain state and accuracy over long interactions.
• You will develop and tune high-fidelity RAG pipelines using the Google RAG Engine and Agent Engine to ensure agents have the precise context required for influencer marketing workflows.
• The role requires applying machine learning techniques to our massive datasets to implement automated anomaly detection, forecasting, and trend analysis.
• You will perform advanced data science and analysis by generating and querying high-dimensional video and text embeddings to extract insights from social media content.
• You will integrate Gemini and Model Garden LLMs into production applications while managing the technical nuances of token limits and context window optimization.
• Partnering with the Architect, you will implement MLOps practices that track agent performance, cost-efficiency, and ethical AI safeguards within the GCP IAM framework.

What You'll Need To Have:

• Advanced proficiency in Python is required for AI/ML backend development, data analysis, and API construction.
• You must possess a deep understanding of prompt engineering strategies (Chain-of-Thought, ReAct) and context engineering to maximize model reasoning capabilities.
• The position demands deep hands-on experience with Google ADK, MCP, Vertex AI Pipelines, and the Google RAG Engine.
• You should have practical experience applying classical ML algorithms for regression, forecasting, and anomaly detection on large-scale datasets.
• The role requires a strong understanding of vector databases and the manipulation of video/text embeddings for semantic search and classification.
• Deep experience with utilizing GitHub Actions to support the SDLC workflows and CI/CD standards established by the Principal Architect.

Nice To Haves

• Experience utilizing Snowflake Cortex Analyst, Cortex Search, and Snowflake Intelligence ecosystem.
• Proficiency in Node.js for full-stack integration layer and tool development is highly regarded.
• Prior experience in the digital marketing or influencer marketing space is a significant advantage.
• Experience with containerization and orchestration using Docker and GKE will help scale our autonomous systems.

Bridge strategy and execution in Wealth—deliver platforms that advisors, investors, and operations can trust.

We’re seeking a Technical Delivery Lead with Wealth domain expertise—spanning product manufacturing, investment operations/back office, distribution, and front-office/advisor platforms.

You will partner closely with CIOs, CTOs, and senior business leaders, acting as a trusted advisor to shape technology strategy, architecture decisions, and transformation roadmaps.

You’ll connect business strategy to complex technology landscapes, applying leading practices to deliver scalable, future-ready solutions that drive cost efficiency, performance, and growth across the end-to-end Wealth Management value chain—including Product Manufacturing, Investment Operations, Distribution & Client Management, and Front Office/Advisor Experience.

What You'll Do!

• Lead end-to-end technology delivery across the Wealth value chain, aligning execution with enterprise strategy and executive priorities
• Advise CIO/CTO stakeholders on leading practices, including platform modernization, operating model design, and build vs. buy decisions
• Provide technology leadership across Manufacturing, Back Office, Distribution, and Front Office domains
• Shape target-state architecture using domain-driven design, microservices, event-driven architecture, and API-led ecosystems
• Translate executive strategy into delivery plans including roadmaps, OKRs, budgets, and vendor governance
• Drive measurable outcomes such as improved STP, reduced latency, optimized cost-to-serve, and enhanced client/advisor experience
• Elevate engineering maturity by establishing best practices, standards, and delivery playbooks

What We're Looking For

• At least 15 years of proven consulting and delivery leadership in Wealth and Asset Management across multiple domains
• Experience engaging CIO/CTO/COO stakeholders and influencing strategic decision-making
• Strong technical fluency across Digital Engineering, Cloud (AWS/Azure), APIs and Event Streaming, data platforms | modernization and DevOps/SRE
• Hands-on experience integrating with wealth platforms, custodians, and market data providers (g., Charles River /Eagle/SS&C/SimCorp/Broadridge).
• Regulatory awareness across North American Wealth (KYC/AML, FATCA/CRS, CFR, PIPEDA/OSFI)

Bonus Points

• Cloud certs (AWS/Azure), API/streaming at scale, data quality & lineage tooling.
• Experience with Salesforce FSC, Appian/PEGA, or analytics/GenAI assistants for advisors/ops.
• CFA/CIPM awareness (performance/attribution) or equivalent domain depth.

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions
• Work in a collaborative, flat, and entrepreneurial consulting culture
• Access continuous learning, training, and industry certifications
• Be part of a team shaping the future of digital financial services
• Help shape the future of digital transformation across FS & Energy.

We offer a competitive, people-first benefits package designed to support every aspect of your life:

• Comprehensive Benefits Coverage – 100% company-paid health, life, and disability insurance effective from Day 1
• Retirement Savings Program – RRSP with optional employer matching contributions
• Virtual Health Care – Company-paid access for employees and dependents
• Parental Leave Top-Up – Enhanced parental leave benefits from Day 1
• Wellness Support – Lifestyle spending account to promote health and wellbeing

Inclusion at Capco
We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

Use of Artificial Intelligence in Talent Acquisition
At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.

AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.

Why This Role Is Open
We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact.

#LI-Hybrid

About The Role

The AI Infrastructure Operations Engineer (SiteOps) is an entry-level individual contributor role focused on the deployment, bring-up, monitoring, and first-line troubleshooting of Cerebras AI infrastructure in data center environments. The role supports CS systems, cluster server hardware, cluster networking hardware, and hardware telemetry and monitoring tools.

Support reliable operation and scale-out of Cerebras AI clusters by executing defined hardware bring-up and validation procedures, monitoring telemetry, performing first-line troubleshooting, and escalating issues using established workflows.

Responsibilities

• Assist with deployment and bring-up of CS-X systems, cluster servers, and networking hardware;
  • Execute power-on sequencing, readiness checks, and validation tests.
  • Monitor hardware telemetry, alerts, and dashboards.
  • Perform first-line troubleshooting and structured escalation.
  • Collect logs, telemetry, and observations during incidents.

Incident Support & Tooling

• Participate in incident response under senior engineer guidance;
  • Use existing monitoring, telemetry, and incident tracking tools.
  • Provide feedback on tooling and process gaps.

Learning & Development

• Build working knowledge of Cerebras system architecture;
  • Learn cluster hardware and networking fundamentals.
  • Shadow senior engineers during complex debugging.
  • Progress toward independent ownership of defined workflows.

Explicit Non-Responsibilities

• No people management;
  • No final escalation authority.
  • No ownership of cluster architecture, hardware design, or tooling architecture.

Required Qualifications

Bachelor’s degree in a relevant engineering field or equivalent experience; 0–3 years experience in hardware operations, systems engineering, or datacenter environments; basic familiarity with server hardware, networking fundamentals, and Linux systems.

Preferred Qualifications

Internship or early-career experience in datacenter or hardware lab environments; exposure to monitoring or telemetry systems; comfort working in data centers.

What Success Looks Like

Consistent and correct execution of hardware bring-up procedures, early identification and escalation of issues, improving documentation quality, and clear progression toward more independent operational responsibility.

Career Path

This role progresses naturally toward Senior and Principal IC roles within AI Infrastructure Operations (SiteOps), with an optional management track.

In late 2024, we launched Cerebras Inference, the fastest Generative AI inference service in the world, over 10 times faster than GPU-based hyperscale cloud inference. Since launch, we’ve scaled to meet the surging demand from AI labs, enterprises, and a thriving developer community. 

In October 2025, we announced our series G funding, raising $1.1 billion USD to accelerate the expansion of our products and services to meet global AI demand. 

About the team 

The Cerebras Inference team’s mission is to deliver the world’s most performant, secure, and reliable enterprise-grade AI service. We build and operate large-scale distributed systems that power AI inference at unprecedented speed and efficiency. Join us to help scale inference and accelerate AI. 

About the role 

We’re looking for a hands-on Reliability Tech Lead (IC) to own the mission of making Cerebras Inference the most reliable AI service in the world. You will drive reliability strategy and execution across our inference stack, from client SDKs and public-cloud multi-region deployments to wafer-scale systems in specialized data centers. 

In this role, you will define SLOs and incident-response frameworks, design and implement reliability mechanisms at scale, and partner across hundreds of engineers to ensure our service meets world-class reliability standards. 

If you are passionate about building and operating massive-scale, low-latency, high-reliability distributed systems, we want to hear from you. 

Responsibilities: 

• Define and drive reliability strategy: establish SLOs and ensure alignment across engineering. 

• Design and implement reliability mechanisms: build and evolve systems for fault detection, graceful degradation, failover, throttling, and recovery across multiple regions and data centers. 

• Lead large-scale incident management: own postmortems, root-cause analysis, and prevention loops for reliability-related incidents. 

• Architect for reliability and observability: influence system design for redundancy, durability, and debuggability. 

• Develop reliability tooling: create internal tools and frameworks for chaos testing, load simulation, and distributed fault injection. 

• Collaborate broadly: work across software, infrastructure, and hardware teams to ensure reliability is embedded into every layer of our inference service. 

• Monitor and communicate reliability metrics: build dashboards and alerts that measure service health and provide actionable insights. 

• Mentor and influence: guide engineers and set best practices for designing, testing, and operating reliable large-scale systems. 

Skills & Qualifications: 

• Bachelor's or master's degree in computer science or related field. 

• 7+ years of experience in backend, infrastructure, or reliability engineering for large-scale distributed systems. 

• Strong programming skills in at least one popular backend programming language such as Python, C++, Go, or Rust. 

• Deep and hard-earned experience of reliability principles: SLO/SLI/SLA design, incident response, and postmortem culture. 

• Excellent communication and cross-functional leadership skills. 

• Bonus: prior experience building large-scale AI infrastructure systems. 

Location: Sunnyvale 

We're hiring a Principal Engineer for our Inference Cloud Platform. This team owns the cloud layer behind our Inference Service, including availability, latency, reliability, and multi-region scale. 

This is one of the most senior IC roles on the team, for someone who can identify the highest-leverage platform problems, set direction across multiple teams, define long-term architecture, and write production code on critical paths. 

Many of the key decisions are ambiguous at the outset; you’ll need to frame the problem, make tradeoffs, and drive execution without a clear spec. 

The scope includes multi-region traffic architecture, graceful degradation under bursty AI workloads, high-QPS performance, and the operating model for a platform that needs to remain fast and available under changing demand. You'll partner closely with ML, Product and Infrastructure teams. 

Responsibilities 

• Problem Definition & Prioritization. Identify the most important technical problems for the platform, often before there's a clear ask. Make explicit tradeoff decisions about what the platform will and won't support, with reasoning that holds up under scrutiny from senior engineering leadership. 

• Platform Direction. Set the long-term technical direction for the Inference Cloud Platform, including multi-region topology, failure domains, service boundaries, and system evolution over time. 

• Reliability & Performance. Architect active-active systems with rapid failover and graceful degradation (circuit breaking, backpressure, load shedding) with clear SLOs. Drive improvements in latency, throughput, capacity efficiency, and resilience under unpredictable demand. 

• Code & Design Reviews. Contribute production code in critical paths, review designs and implementations, and make architectural decisions including build-vs-buy tradeoffs with long-term operational consequences. 

• Production Leadership. Lead on the hardest production issues and cross-system bottlenecks. Drive observability, incident response, capacity planning, and post-incident improvement with a high standard for operational rigor. 

• Technical Strategy Beyond Your Team. Drive platform-wide decisions across adjacent teams on reliability, API design, capacity planning, and deployment strategy through strong technical judgment. Translate product and business requirements into scalable system designs and drive alignment on shared infrastructure decisions. 

• Mentorship. Raise the quality of technical decision-making across teams through design feedback, pairing, and clear engineering standards. 

Skills & Qualifications 

• 10+ years of experience in software engineering, with substantial individual contributor experience building and operating large-scale distributed systems or cloud infrastructure.  

• Deep expertise in distributed systems architecture in cloud environments, including networking, compute orchestration, container platforms, and multi-region production services. 

• Strong track record of making sound architectural decisions for highly available, latency-sensitive systems at scale, demonstrated through systems you built directly. 

• Experience optimizing latency, throughput, and efficiency in high-QPS systems. Experience with TTFT and tail-latency reduction is a strong plus. 

• Strong proficiency in backend or systems languages such as Go, C++, or Python, with the expectation that you can contribute production code directly. 

• Experience designing observability and reliability practices, including metrics, logging, tracing, alerting, incident response, and SLI/SLO/SLA-driven operations. 

• Ability to influence senior engineers, technical leads, and cross-functional partners through technical credibility, communication, and judgment. 

• Experience with ML inference infrastructure, model serving systems, or GPU-accelerated workloads is a plus. 

About the Role:

Rumble Cloud is seeking a Principal Database Architect to own the architecture, technical direction, and successful delivery of our Database as a Service (DBaaS) offering within our public cloud platform. This role will take over a product already in active development and guide it through hardening, integration, launch, and global scale-out. You will be responsible for shaping the long-term technical roadmap of the service, ensuring it is secure, reliable, performant, and operable at scale for customers worldwide. You will work closely with our development team, engineering team, and early adopter customers to refine the design, drive high-quality implementation, and build the patterns and practices that future engineers will follow.

Key Responsibilities:

• Own the end-to-end architecture of the DBaaS product, including multitenancy, high availability, disaster recovery, backup/restore, observability, and security.
• Review and influence existing epics, stories, and technical designs, identifying gaps and driving improvements.
• Define and maintain architectural standards and patterns for databases across our public cloud (provisioning, configuration, lifecycle management, monitoring, security).
• Work closely with platform, networking, and security teams to integrate DBaaS into our cloud infrastructure, including identity, networking, billing, self-service, and automation.
• Collaborate with Product Management to align technical roadmap with product vision, SLAs/SLOs, and customer requirements.
• Serve as the highest-level technical escalation point for DBaaS-related issues in development, staging, and production environments.
• Support onboarding and success of early “friendly” customers: assist with deployments, performance tuning, troubleshooting, and architecture guidance.
• Define and evolve operational runbooks, incident response patterns, and SRE practices for the DBaaS platform.
• Mentor and coach other engineers and architects as we build an internal team around the service, raising the overall bar for database and data platform expertise.
• Establish and enforce security, compliance, and data protection best practices for the DBaaS offering (encryption, access control, auditing, regulatory considerations).
• Participate in capacity planning and cost optimization, ensuring the service is economically viable at scale.
• Conduct periodic architecture reviews and post-incident reviews, driving continuous improvement in reliability and customer experience.
• Support and advise internal teams on the operation, performance, and troubleshooting of existing database clusters, in addition to primary ownership of the DBaaS platform.

Required Skills & Experience:

• Expert-level experience in database engineering, data platforms, or infrastructure, with significant ownership of production database systems or services.
• Deep expertise with at least one major relational database engine (e.g., PostgreSQL, MySQL, MariaDB, or similar), including replication, backup/restore, performance tuning, and operational best practices.
• Solid understanding of cloud infrastructure concepts, including compute, networking, storage, and security in public cloud or large private cloud environments.
• Experience integrating databases or DBaaS-like offerings with cloud control planes, APIs, and automation/orchestration systems.
• Strong background in reliability engineering for data services (monitoring, alerting, SLOs, incident management, capacity planning).
• Familiarity with security and compliance requirements for database services (encryption at rest/in transit, access control, auditing, data retention, regulatory considerations).
• Proficiency with infrastructure-as-code and automation tools (e.g., Terraform, Ansible, or similar) and comfort working with CI/CD pipelines.
• Scripting or programming skills (e.g., Python, Go, Bash or similar) for automation, tooling, and integration.
• Proven track record of technical leadership: influencing designs across teams, mentoring engineers, and making clear trade-off decisions.
• Excellent communication skills, with the ability to work effectively with external vendors, internal stakeholders, and customers.

Nice to Have (Preferred Skills):

• Strong, hands-on expertise with both MySQL and PostgreSQL databases.
• Experience designing or operating multi-tenant, high-availability, and distributed database architectures in a cloud or large-scale environment.
• Experience designing or operating a DBaaS offering (e.g., Amazon RDS/Aurora, Azure Database, Cloud SQL, or similar managed services).
• Knowledge of NoSQL or specialized data stores (e.g., Redis, MongoDB, Cassandra) and when to apply them.
• Experience in Kubernetes-based data workloads, operators, or stateful services.
• Familiarity with multi-region architectures, data residency, and geo-replication patterns.
• Exposure to observability stacks (e.g., Prometheus, Grafana, ELK/OpenSearch, OpenTelemetry) for data services.
• Relevant certifications in databases, cloud architecture, or security are a plus.

Qualifications:

• Demonstrated success owning the architecture and technical direction of a mission-critical platform or service.
• Strong customer empathy and a track record of working directly with users or customers to solve complex technical problems.
• Ability to operate at both strategic and hands-on levels, from roadmap and design reviews down to debugging complex production issues.

Annual Compensation Range: 

$185,000 -  $265,000 USD base + benefits + equity (If based in the United States)

$170,000 -  $200,000 USD base + benefits + equity (If based in Canada)

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

Overview

We are looking for an exceptional full-stack software engineer who will act as a Forward Deployed Engineer (FDE) to serve as the critical interface between the central AI Application Modernization Factory and our application teams. The FDE will be temporarily embedded within delivery teams to directly drive the modernization of key applications, ensuring technical success, accelerated adoption of AI-assisted SDLC practices, and lasting upskilling of team members. This is a high-impact, hybrid role requiring advanced software engineering skills, deep knowledge of cloud-native patterns, and proven expertise in consultation, change management, and building strong rapport with diverse teams.

Key Responsibilities

• Application Modernization Execution: Embed with application teams to provide hands-on technical leadership, driving the design, development, and delivery of modernization efforts (re-platforming, microservices adoption) to AWS cloud-native architectures.
• AI-First SDLC Adoption & Upskilling: Act as the subject matter expert on the AI Modernization Factory's tools and processes (e.g., Cursor, Claude Code). Drive the adoption and change management necessary to embed AI-assisted software development practices into the team’s daily workflow.

• Consultative Engineering & Change Management: Build trust and rapport with new, diverse teams quickly. Identify team-specific technical and process bottlenecks, recommending and implementing solutions, and effectively managing the people/process side of technical change.
• Hands-on Software Development: Make significant code contributions, focusing on setting up architectural scaffolding, CI/CD pipelines, IaC (Terraform), and solving complex, blocking integration challenges for the embedded team.
• Feedback Loop: Serve as the primary feedback channel, relaying practical challenges, tool deficiencies, and necessary process adjustments back to the central Principal Engineer and Architect to continuously improve the factory's capabilities.
• Standards & Quality: Ensure embedded teams adhere to the central factory's engineering standards, including Twelve-Factor App principles, DevSecOps practices, and high-quality coding standards.

Required Qualifications & Experience

• Experience: 5+ years of progressive experience in Software Engineering, with a focus on enterprise applications and application modernization.
• Full Stack Proficiency: Strong hands-on experience across the full application stack (front-end, back-end, database, infrastructure). Expert proficiency in one or more modern technology languages (e.g., Python, TypeScript, C#, Java).
• Cloud Native & IaC: Deep practical experience building and deploying scalable applications on AWS. Strong proficiency with Infrastructure-as-Code (IaC), specifically Terraform.
• Consulting & Change Management: Proven ability to onboard rapidly, assess team dynamics and technical landscapes, influence technical direction without formal authority, and drive organizational/process change within established engineering teams.
• DevSecOps & CI/CD: Hands-on mastery of setting up and optimizing CI/CD pipelines (GitHub Actions, GitLab CI) and integrating DevSecOps best practices.
• Architectural Understanding: Solid understanding of modern architectural patterns (microservices, serverless, event-driven architecture) and the principles of Domain-Driven Design (DDD).
• Communication & Interpersonal Skills: Exceptional communication, presentation, and listening skills. Ability to articulate complex technical issues and solutions to both technical and non-technical stakeholders effectively.

Preferred Skills (A Plus)

• Prior experience in a consulting, Staff Engineer, or Forward Deployed role, specifically focused on technical adoption or modernization.
• Direct experience training or mentoring other software engineers in new technologies or methodologies.
• Hands-on experience with modern UI frameworks like React, NextJS, or similar.
• Experience utilizing AI-assisted coding tools (Cursor, Claude Code) in a professional development environment.
• Familiarity with containerization (Docker/Kubernetes) and serverless architectures (AWS Lambda).

Job Location – Remote (USA & Canada)

The expected base salary for this position is: CAD 145000/ USD 170,000 excluding annual bonus (when applicable). Salary is based on a number of factors including market conditions, location and may vary depending on job-related skills and experience.

Location: Remote (U.S. or Canada)

Type: US Applicants – Full-Time; Canadian Applicants – Independent Contractor

About Human Agency

We're scaling rapidly and have a growing pipeline of opportunities that demand exceptional talent across disciplines. Our mission is to bring on individuals, from creative producers to technical experts to entrepreneurial leaders, who can help us realize this next chapter of growth.

We are a company of doers. Leaders roll up their sleeves, teams work flat, and everyone contributes to what ships. Titles don't insulate us from feedback or basics. We invite critique, learn quickly, and keep raising the bar. The best ideas win here, no matter where they come from, because clients trust us to deliver the strongest outcomes every time.

Our clients' missions, products, and bottom lines are sacred. We immerse ourselves in their world, becoming stewards of their goals and partners in solving big problems. Every product, strategy, or asset we create must be both beautiful and functional; practical, usable, and designed for real-world impact.

Humans are our most valuable resource, and we only grow by hiring people who push us forward. Across strategy, engineering, design, data, and operations, we seek out teammates who raise the bar and make us better. Always hire up, never down.

We partner with organizations of all sizes to explore, design, and implement AI strategies that are secure, scalable, and human-centered. We believe AI should amplify human potential, not replace it, and we build with that conviction in every engagement. From advisory and tooling to implementation and education, we meet clients where they are and help them integrate AI in ways that align with their mission and values. Our goal is to empower teams to work smarter, move faster, and unlock new possibilities through thoughtful, responsible innovation.

And through it all, we lead with purpose, love, and adventure. We do meaningful work with people we care about, and we make the ride an adventure worth taking. Because at Human Agency, who we are and how we work are one and the same.

The Opportunity

Human Agency is an AI-native consultancy that builds, ships, and operates alongside our clients. We don’t advise from the sideline — we embed inside enterprise organizations and deploy production AI systems that do real work.

Our current anchor engagement is inside one of the largest privately held construction enterprises in the United States — LLM orchestration, document intelligence, workflow automation, enterprise integration. Not strategy decks. Not innovation labs. Systems that run.

We need a Managing Director of Technology to own the technical side of the house as we scale Human Agency. That means leading client delivery, making architecture calls, building the engineering team, and being the technical voice in rooms with C-suite executives. You’ll work closely on strategy with both the Founder and the Managing Director of AI — but the technical execution, the team, and the platform are yours.

This role requires someone who can move between writing production code and presenting to a client’s CEO in the same week. If that sounds like whiplash, this isn’t the right fit. If that sounds like Tuesday, keep reading.

What You’ll Do

Lead technical delivery for enterprise clients. You’re the most senior technical person in the room on our biggest engagements. You decide what’s feasible, design the architecture, and make sure it ships. When a client executive asks “can we do this?” — you’re the one who answers.

Build how we deliver, not just what we deliver. One client engagement works because of talented people and brute effort. Ten engagements work because of systems. You design the repeatable model — how we scope, staff, build, and deploy — so the team can run engagements without you in every meeting. That means building discovery frameworks, reference architectures, deployment templates, and evaluation routines that actually get used.

Hire and develop the engineering team. You set the bar, own the pipeline, and make the calls on who joins. We need people who can build with high autonomy in ambiguous environments, and you know how to find them. You also know how to make good engineers better through architecture guidance, code review, and honest feedback.

Own platform and infrastructure decisions. Build vs. buy, tooling, deployment, security — you make the calls. A Principal Engineer handles day-to-day infrastructure execution; you set priorities and architectural direction.

Shape our AI strategy through the lens of what actually ships. You have real opinions on LLM orchestration, RAG, agents, evaluation, and fine-tuning — formed by building things, not reading about them. You decide which technical bets we make and which we skip, based on what creates value for clients, not what looks good on a slide.

What We’re Looking For

• You’ve built and shipped AI/ML systems in production. Not prototypes. Not demos. Things that run and that people depend on.
• You’ve hired and led a technical team — at least 5 people, ideally more. You’ve seen what breaks when a team grows and you’ve fixed it.
• You can explain a technical trade-off to a non-technical executive in a way that helps them make a decision. You’ve done this in high-stakes settings.
• You have strong opinions on AI architecture grounded in hands-on experience — and you change those opinions when the evidence says to.
• You’re comfortable in the weeds. When something is broken or a team is stuck, you get in and help, not schedule a meeting about it.
• You know your way around cloud infrastructure and engineering practices well enough to make platform calls with confidence.

Bonus points for: you’ve scaled a startup or early-stage company before — built the team, built the systems, lived through the growing pains; experience in a services or consultancy model (SOWs, staffing, client delivery); a network of engineers you’ve worked with and would hire again.

You Should Apply If

• You’d rather build AI systems than talk about AI strategy
• You want to own a technical organization, not manage a lane inside someone else’s
• You’re comfortable making big decisions with imperfect information — and owning the outcome
• You want to work somewhere with real revenue, real clients, and real problems to solve
• You’re energized by building a company — not just writing code, but shaping how the whole thing works

You Should Not Apply If

• You want a CTO-like title with a strategy focus and minimal hands-on building
• You’re uncomfortable getting into production-level detail when the situation calls for it
• You expect an established engineering org with playbooks, processes, and a support structure already in place
• You’d rather delegate technical depth than engage directly
• Your experience is solely in product companies and you’re not interested in building for clients

Considerations

Education: Bachelor’s degree or equivalent experience; advanced degrees are a plus but not required

Ethics: Commitment to responsible AI practices — transparency, human oversight, privacy

Travel: Periodic (10–20%) for client work, team offsites, and events

Location: Remote-friendly; U.S. or Canada, with preference for EST timezone alignment

Why Join Human Agency

We’re profitable, growing, and building AI systems that run in production for billion-dollar companies. The team is small, the clients are real, and the work matters.

The work is real and the opportunity is massive. We’re building a company — the systems, the team, the delivery model, the culture — and we need someone to own the technical side of that build.

If you’re the kind of person who’d rather build the engine than describe the engine, we want to talk.

Equal Opportunity Commitment

Human Agency is an Equal Opportunity Employer. We value diverse perspectives and are committed to building inclusive, high-performing teams where everyone can do their best work.

About Us

Nubank was founded in 2013 to free people from a bureaucratic, slow and inefficient financial system. Since then, through innovative technology and outstanding customer service, the company has been redefining people's relationships with money across Latin America. With operations in Brazil, Mexico, and Colombia, Nubank is today one of the largest digital banking platforms and technology-leading companies in the world. Nubank was listed on the NYSE in 2021 and was recently named one of Time Magazine's 100 Most Influential Companies. For more information, visit www.nu.com.br.

About the Role

At Nubank, our Credit Card platform is the core of our global expansion. We are looking for a Staff Engineer to join our platform team as a technical anchor, ensuring our systems remain scalable and flexible as we maintain sustainable growth and innovation in the countries where we currently operate, while also launching into new international markets. You will play a vital role in evolving the architecture of one of our most complex and strategic products.

You will operate within a high-impact triad alongside Product and Management, focusing on long-term technical strategy and system health. As a hands-on technical leader, you will challenge the status quo, propose innovation and solve deep architectural problems, mentor and become a technical reference for our engineering team. Your work will directly enable millions of customers to access financial products via credit card worldwide.

Responsibilities

• Define and drive the long-term vision and strategy for the global architecture of the core credit card platform, ensuring exponential scalability and continuous evolution capability.
• Lead the strategic partnership with Product and Business leadership (C-level and VPs) to shape the medium and long-term technical roadmap and define the strategic OKRs and global impact KPIs.
• Act as a technical and cultural reference, defining the highest standards of engineering excellence, mentoring other Architects and Principal/Staff Engineers, and fostering a culture of innovation and accountability.
• Lead and resolve the most ambitious and high-risk technical challenges, intervening in critical performance or resilience bottlenecks and driving technical execution for solutions with multi-system and multi-country impact.
• Design and oversee the execution of complex system transformations (e.g., core banking migrations, replacement of legacy platforms) ensuring regulatory compliance in multiple jurisdictions and fiscal regimes, proactively mitigating risks.
• Communicate and defend the technical strategy eloquently and convincingly to the executive board and non-technical audiences, translating architecture decisions into business value and competitive advantage.

Required Qualifications

• Principal/Staff Engineer level experience or equivalent with an extensive and demonstrable history in architecting and scaling mission-critical, high-volume, and low-latency systems in global fintech or e-commerce environments.
• Expert proficiency (demonstrated in code and design) in multiple programming paradigms, with significant hands-on experience in functional programming (e.g., Clojure, Scala, Haskell) and reactive/event-based architectures.
• Proven ability to establish and lead the long-term technical strategy for entire platform ecosystems (not just isolated components), influencing the direction of multiple engineering groups.
• Deep and successful experience in navigating and defining the architecture in highly regulated financial environments (e.g., BACEN, FCA, SOX) and designing systems to meet data residency requirements and complex cross-border transactions.
• History of successfully leading and completing large-scale platform transformations (e.g., transition from monoliths to microservices mesh, migration of data centers or clouds), managing risks and operational impact.
• In-depth knowledge of credit card/payment systems design is a significant differential.

Nice to Have

• Experience with Clojure or similar functional languages.
• Proven interest or experience in leveraging AI to optimize engineering workflows.
• Deep domain knowledge of credit card processing or financial ledgers.

Location & Work Model

This role is based on a hybrid model at one of our Nubank offices in Brazil (São Paulo, Campinas, Rio de Janeiro, or Belo Horizonte), the United States (Palo Alto, Durham, Washington D.C. or Miami), or Canada (Toronto).

Diversity & Inclusion / Equal Opportunity

At Nubank, we believe that diversity is essential to building the best products and services. We are committed to creating a welcoming work environment that respects and values diversity in all its forms, and we encourage people from all backgrounds to apply. We are proud to be an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

If you need accommodations during the application or interview process, please let us know.

This offer is conditional on meeting all applicable regulatory eligibility requirements and successful completion of background checks.

Role Overview

We are looking for a senior to principal product manager to help us build our data platform and own the strategy, roadmap, and execution of Beacon's internal data infrastructure. This is a high-impact, cross-functional role sitting at the intersection of our platform engineering team and our integrations function, which onboards newly acquired companies within 90 days of close.

You will be responsible for partnering with our internal platform engineering team to unify the technology stacks of our portfolio companies into a coherent data platform, building agentic workflows that allow internal teams to query and act on data across the portfolio, and developing products that accelerate our BD and M&A function—from data room preparation to tracking acquisition velocity. This is a senior-level role in scope and ownership.

This is a rare opportunity to build a data platform from the ground up at a firm that moves fast, acquires companies regularly, and genuinely values the work of platform and product teams. You will have high visibility with senior leadership, direct ownership of a critical internal product, and the opportunity to shape how an entire portfolio of software businesses runs on data.

You won't be maintaining someone else's roadmap—you'll be writing it.

What You'll Own

Data Platform Strategy & Architecture

• Define and drive the roadmap for integrating the technology stacks of all Beacon portfolio companies into a unified data platform
• Prioritize which data sources, connectors, and integrations to build, establishing a clear framework for sequencing decisions
• Coordinate with platform engineering to ensure data infrastructure, internal tooling, and portfolio-facing products converge into a coherent, maintainable architecture
• Own the product experience for integration tooling—including templatized onboarding checklists, access tracking, and migration dashboards used by the integrations team
• Identify where we need to provide unified dashboards for business intelligence for leadership to help with GM and portfolio reporting analytics

Agentic Workflows & AI-Powered Products

• Design and ship agentic workflows that allow internal stakeholders to query, analyze, and act on data across the portfolio in natural language
• Evaluate and productize experiments emerging from the GTM engineering team, managing the pipeline from prototype to shipped feature
• Champion AI-native product patterns, leveraging tools like Claude and custom MCP (Model Context Protocol) servers to extend platform capabilities

BD & M&A Enablement

• Build and maintain products that ensure clean, up-to-date data is available in the data room for BD and M&A teams at all times
• Develop tooling to track and improve BD and M&A velocity—surfacing pipeline metrics, diligence timelines, and acquisition progress across deals
• Partner closely with the M&A and Business Development teams to understand their data needs and translate them into platform requirements

Cross-Functional Leadership

• Serve as the connective tissue between platform engineering, the integrations team, and business-side stakeholders (BD, M&A, portfolio GMs)
• Run structured product discovery, write clear PRDs, and drive sprint-level execution with the engineering team
• Define success metrics for the data platform and establish a regular cadence for reviewing progress against them

What We're Looking For

Experience

• 5–10 years of product management experience, with a meaningful portion spent on data platforms, internal tools, or developer-facing products
• Demonstrated experience owning complex, cross-functional product roadmaps with multiple stakeholder groups
• Prior experience in a PE-backed, high-growth, or multi-product environment is a strong plus
• Background as a software engineer, startup founder, or in a technical IC role is a significant plus

Nice-to-Have Skills:

• Strong technical fluency—you can read code, write lightweight scripts, and hold your own in architecture discussions with engineers
• Hands-on familiarity with AI tools, including Claude or similar LLMs, for both personal productivity and product development
• Experience building or working with MCP (Model Context Protocol) servers, or demonstrated comfort building agentic AI workflows
• Familiarity with data integration patterns, APIs, webhooks, ETL pipelines, and CRM/support platform data models (HubSpot, Zendesk, or similar)
• Comfort with SQL and basic data analysis to independently explore datasets and validate product hypotheses

Ways of Working

• Highly autonomous—you take ownership end-to-end, raise blockers early, and keep projects moving without hand-holding
• Structured communicator—you write clear PRDs, crisp project updates, and can translate technical concepts for non-technical audiences
• Builder mindset—you're energized by 0-to-1 problems and are comfortable operating in environments where processes are still being defined
• Curious and adaptable—Beacon operates across many verticals, and you enjoy getting up to speed quickly on new domains