About Inspiren

Inspiren offers the most complete and connected ecosystem in senior living. Founded by Michael Wang, a former Green Beret turned cardiothoracic nurse, Inspiren proves that compassionate care and technology can coexist - bringing peace of mind to residents, families, and staff.

Our integrated solutions seamlessly fit into existing workflows, capturing everything happening within a community. Backed by nurse specialists and powerful analytics, we provide the data operators need to make informed clinical and operational decisions - driving efficiency, profitability, and better care outcomes.

About the Role

We are hiring a Principal Engineer, Systems & Strategic Expansion to be the most senior IC in the engineering organization and the CTO's right hand on technology. This is a building role. At Inspiren, architecture happens by shipping systems, coaching others to make proactive technology investments, and building the tooling that makes good patterns the default. A defining responsibility of this role is making every engineer in the org faster while simultaneously raising the bar on architecture, quality, resilience, and security. We believe agentic development is how you achieve both at once. Your job is to make agentic workflows the fastest, easiest, most correct way to build — so that engineers choose them not because they are told to, but because they are better. You will build the AI platform, agents, skills, templates, and paved roads that make coding agents architecturally literate by default, and you will continuously push that frontier forward. The fast path and the correct path should be the same path, and you are the person who builds that path.

Why This Role

• You will build across the full stack in a single company: IoT device ecosystems and embedded systems at the edge, backend services and cloud infrastructure in the middle, computer vision, ML, and radar powering the intelligence, and a Databricks data platform underneath it all. 
• Every engineer at Inspiren works with AI coding agents daily. The question of how architecture, quality, and velocity work together in that world is wide open. You will answer it by building.
• Communities using Inspiren have cut fall injuries by 86%, reduced emergency response times to 90 seconds, and replaced around-the-clock one-on-one monitoring with ambient intelligence. Your work prevents injuries, makes caregivers' jobs simpler and more humane, and gives families real confidence. The impact is visible in real facilities, with real people, within hours of launch.

What You Will Do

• Lead the product expansion into new markets: new hardware-enabled use cases, new ML-powered detections, new product experiences. Determine what generalizes and what needs to be built new by actually building both.
• Build production systems across the full stack: embedded/IoT, backend (TypeScript/Node.js), AWS cloud infrastructure, Kafka, mobile, and data platform (Databricks/Unity Catalog). 
• Make every engineer faster and better by building the agentic development infrastructure that makes the right way the fast way. AI skills that guide coding agents toward correct patterns. Validation pipelines that catch problems before they merge. Your goal: agentic development is the fastest path to production, and it produces architecturally correct, secure, resilient output by default.
• Proactively drive where the platform needs to go before it becomes a bottleneck. See around corners, create urgency, and build the path. Coach engineers through hard architectural decisions by pairing on designs, giving substantive code review, and helping teams build the judgment to make great decisions — with and without AI agents.
• Drive product urgency. You care deeply about shipping things that reach real users in real care environments. When something needs to ship, you create momentum. When something is being over-engineered, you redirect toward outcomes.
• Lead the product expansion into new markets, partnering with Product on which bets to pursue: new hardware-enabled use cases, new ML-powered detections, new product experiences. Determine what generalizes and what needs to be built new by actually building both.

What You Bring

• 12+ years of engineering experience, with recent years spent building. You have hands-on depth across at least three of: embedded/IoT, backend services, cloud infrastructure (AWS), event-driven architectures, mobile, and data platforms. You are still writing code and shipping systems.
• Architectural impact earned through building. You have shaped technical direction at the org level by shipping systems that established the right patterns, coaching others to extend them, and building the tooling that made those patterns the default. Not through mandates or review gates.
• A point of view on how agentic development changes the way engineering orgs build. You use AI coding tools daily and have gone beyond personal productivity to think about how you make an entire team faster while raising the quality bar. You have built or have strong ideas about building the scaffolding, skills, and infrastructure that make AI agents produce correct output by default.
• Product-engineering instincts and a bias toward shipping. You have launched products or major features with ownership over user outcomes. You know when to simplify, cut scope, or redirect to get something meaningful into production.
• The ability to influence experienced engineers without positional authority, through what you build, the clarity of your reasoning, and the momentum you create.

Bonus

• Experience in healthcare, IoT, or regulated environments (HIPAA, PHI, safety-critical systems).
• Background in computer vision, ML pipelines, radar, or real-time inference systems.
• Experience building products that span hardware, firmware, connectivity, and cloud software.
• Experience with Databricks or similar data platform infrastructure.
• Experience building developer tooling, platform scaffolding, or internal developer experience infrastructure.

Details

• The annual salary for this role is $260,000-$300,000 + equity + benefits (including medical, dental, and vision) 
• Flexible PTO
• Location: Remote, US or Canada - NYC preferred

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

What Is The Role : 

We are a team of creative technologists who live at the intersection of engineering and storytelling. We craft narratives that connect the what, how, and why of our technology — from major product launches to minor releases, video tutorials to interacting with and influencing analysts. We drive defining the core message, aligning the company, and telling narratives that stick.

You will be the voice of Elastic Observability in the market, a trusted thought partner to product management and field teams, jointly shaping the outbound strategy that drives adoption across observability use cases. You will move between the technical and the creative: understanding how our products work, who uses them, and why it matters, then translating that into positioning, content, and campaigns. Be responsible for the observability narrative at Elastic, from market positioning to product launch and field enablement.

You'll work with a distributed team, including product, sales, marketing and executive leadership.

What You Will Be Doing : 

• Own messaging and positioning : Craft differentiated, compelling narratives for Elastic Observability that resonate with both practitioners and decision makers.
• Drive go-to-market strategy end-to-end : Define and lead GTM for new launches and campaigns from strategy through execution and track metrics.
• Enable the field : Build training and content that empowers sales, solutions engineering, and customer success to tell the Elastic story with confidence.
• Represent Elastic in the community : Attend and present at trade shows, conferences, and industry events. Some travel required.

What You Bring : 

• Direct experience with Observability, DevOps, or cloud-native infrastructure use cases. You understand the problems SREs, platform engineers, and developers face day-to-day.
• Curiosity about the "how" of technology, paired with the storytelling instinct to explain the "why" to any audience.
• A track record of crafting engaging content through blog posts, presentations, demos, videos that makes technical ideas accessible and compelling.
• Strong communication skills, comfortable presenting to audiences of all sizes, from an intimate field briefing to a conference keynote.
• Experience collaborating across a highly cross-functional, globally distributed team.

Bonus Points : 

Background in observability and prior experience as an SRE, platform engineer, solutions engineer, or consultant.

What Is The Role : 

We are a team of creative technologists who live at the intersection of engineering and storytelling. We craft narratives that connect the what, how, and why of our technology — from major product launches to minor releases, video tutorials to interacting with and influencing analysts. We drive defining the core message, aligning the company, and telling narratives that stick.

You will be the voice of Elastic Observability in the market, a trusted thought partner to product management and field teams, jointly shaping the outbound strategy that drives adoption across observability use cases. You will move between the technical and the creative: understanding how our products work, who uses them, and why it matters, then translating that into positioning, content, and campaigns. Be responsible for the observability narrative at Elastic, from market positioning to product launch and field enablement.

You'll work with a distributed team, including product, sales, marketing and executive leadership.

What You Will Be Doing : 

• Own messaging and positioning : Craft differentiated, compelling narratives for Elastic Observability that resonate with both practitioners and decision makers.
• Drive go-to-market strategy end-to-end : Define and lead GTM for new launches and campaigns from strategy through execution and track metrics.
• Enable the field : Build training and content that empowers sales, solutions engineering, and customer success to tell the Elastic story with confidence.
• Represent Elastic in the community : Attend and present at trade shows, conferences, and industry events. Some travel required.

What You Bring : 

• Direct experience with Observability, DevOps, or cloud-native infrastructure use cases. You understand the problems SREs, platform engineers, and developers face day-to-day.
• Curiosity about the "how" of technology, paired with the storytelling instinct to explain the "why" to any audience.
• A track record of crafting engaging content through blog posts, presentations, demos, videos that makes technical ideas accessible and compelling.
• Strong communication skills, comfortable presenting to audiences of all sizes, from an intimate field briefing to a conference keynote.
• Experience collaborating across a highly cross-functional, globally distributed team.

Bonus Points : 

Background in observability and prior experience as an SRE, platform engineer, solutions engineer, or consultant.

About the Role

We are seeking a Principal UX Designer — Enterprise Modernization to serve as the design authority within our AI-powered Application Modernization Factory.

This is not a heads-down design execution role.You will define UX patterns, standards, and modernization approaches that scale across 100+ enterprise software applications.

You will influence product owners, embedded engineering teams, and external design agencies — not just produce Figma files. Your role is to bring systems thinking, pragmatism, and speed to complex, constraint-heavy modernization efforts.

You will lead the transformation of legacy enterprise applications into intuitive, scalable, and modern experiences — leveraging AI-assisted design workflows to accelerate delivery.

 You will partner closely with our elite engineering teams, including Forward Deployed Engineers (FDEs) and the Principal Engineer & Technical Architect, to drive transitional UI/UX flows that accommodate incremental modernization while significantly improving usability and aesthetics.

Key Responsibilities

• Design Authority & Standards: Define and enforce UX patterns, design systems, and modernization standards across multiple applications and teams.
• Legacy System Redesign: Drive the user experience redesign of outdated legacy system interfaces, applying modern usability and accessibility principles while respecting architectural and technical constraints.
• AI-Assisted Design Workflow: Utilize AI-assisted tools (e.g., Figma AI, DALL·E, Midjourney) for rapid prototyping, wireframing, visual exploration, and design acceleration, integrating with our AI-assisted SDLC practices.
• Transitional UX Strategy: Design transitional UX flows and patterns that support an incremental modernization approach, focusing on delivering value quickly and iteratively rather than complete rebuilds.
• Design System Development: Develop and maintain responsive, accessible, and scalable design systems to accelerate modernization initiatives across multiple applications.
• Cross-Functional Collaboration: Collaborate closely with engineering, product, and business teams to ensure visual consistency, technical feasibility, and alignment of modernization efforts with functional and business goals.

Required Qualifications & Experience

• Experience: 10+ years in UX/UI design, with significant experience in enterprise B2B applications.
• Enterprise UX Expertise: Designing dashboards, complex data tables, multi-step workflows, and role-based access systems.
• Portfolio: Strong portfolio demonstrating before-and-after modernization projects or successful redesigns of complex legacy systems with an emphasis on data-heavy B2B applications..
• Design Tool Fluency: Expert fluency in modern design and prototyping tools (Figma, Adobe XD, Sketch).
• AI Design Experience: Demonstrated, daily AI-assisted design workflow — you must be able to describe step-by-step how you use AI tools (Figma AI, ChatGPT, Midjourney, v0, Lovable, or similar) to accelerate wireframing, prototyping, and design system creation. Casual users need not apply.
• Technical Understanding: Comfortable collaborating with developers and possessing a strong understanding of the technical realities of front-end frameworks (e.g., React, Angular, NextJS, or similar).
• Design Principles: Deep understanding of responsive design principles, accessibility standards (WCAG), and usability testing methodologies.
• Communication: Excellent communication, collaboration, and stakeholder management skills across cross-functional teams.

Preferred Skills (A Plus)

• • Familiarity with the challenges and constraints of large-scale application re-platforming projects.
  • A pragmatic, problem-solving mindset, particularly in complex, constraint-heavy environments.
  • Experience or familiarity with modern development practices leveraged by our engineering teams (Agile, DevSecOps).

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This position is 100% remote anywhere in the US

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About the Role

We are looking for a Distinguished Engineer to pioneer and scale autonomous, agentic SDLC capabilities across GitLab. Distinguished Engineers are recognized experts across multiple technology domains and represent the most senior level of technical leadership within and across divisions at the company.

In this role you will deeply immerse in GitLab's product and internal engineering workflows to identify classes of problems that can be wholly or largely addressed by AI agents, validate them through rigorous experimentation in production-adjacent environments, and codify patterns that can be productized for our millions of users. You will act as a bridge between Architecture, Product, Infrastructure, and Data and ML teams, ensuring that agentic capabilities deliver durable value internally first and then scale reliably and securely to our customers.

This role reports to a Director-level engineering leader.

What You'll Do

• Define and continuously refine a company-wide technical vision for autonomous, agentic SDLC that aligns with GitLab's product strategy and Engineering job architecture.
• Identify and prioritize non-linear productivity opportunities across the SDLC, from planning and coding to review, security, compliance, and operations, targeting 10x step changes rather than incremental gains.
• Translate ambiguous problem spaces into concrete, iterable roadmaps in partnership with Product, AI and ML, and Architecture teams.
• Lead hands-on experiments and prototypes to validate where agentic workflows can fully own or materially reshape engineering tasks, including autonomous MR authoring, test creation and triage, security remediation, release readiness, and incident response.
• Design and implement reference architectures for agentic SDLC inside GitLab, including orchestration patterns, safety guardrails, observability, and human-in-the-loop controls.
• Define evaluation frameworks using offline benchmarks and online experiments to measure correctness, latency, safety, cost, and productivity impact of agentic workflows.
• Select and own a small set of high-impact internal use cases as pathfinders and drive them from concept through adoption to measurable productivity gains.
• Work directly with engineering teams to embed agentic workflows into day-to-day development, ensuring they are trusted, observable, and resilient.
• Define and track core productivity metrics such as cycle time, MTTR, and MR throughput, and link agentic interventions to real business outcomes.
• Capture and codify reusable patterns, libraries, and playbooks that other teams can adopt with minimal friction.
• Work with Product Management and Engineering leadership to convert proven internal patterns into product capabilities that can be safely and reliably offered to customers.
• Ensure designs respect multi-tenant, compliance, and data governance requirements across GitLab.com and self-managed customers.
• Serve as a point of escalation for complex technical and architectural decisions related to agentic workflows, AI safety, and large-scale systems integration.
• Mentor Principal and Staff Engineers working on AI and agentic efforts, raising the overall bar for technical execution, experimentation rigor, and cross-team collaboration.
• Write clear, opinionated design documents, architecture narratives, and decision records that help teams make aligned, high-quality decisions independently.
• Represent GitLab in the broader ecosystem at conferences, standards groups, and open source communities on topics such as AI-assisted development, autonomous agents, and productivity measurement.
• Partner with Security and Compliance to define guardrails, review processes, and monitoring for agentic features, ensuring responsible use of AI and protection of customer data.
• Work with Reliability and SRE teams to ensure that agentic services are observable, debuggable, and resilient, and that failure modes degrade gracefully.

What You'll Bring

• 10+ years of software engineering experience, including 4+ years in a Staff, Principal, or equivalent senior technical leadership role.
• Deep expertise in AI and ML systems, including large language models, agentic frameworks, and autonomous workflow design at production scale.
• Proven track record of leading hands-on technical experimentation, including defining evaluation frameworks, running benchmarks, and translating findings into scalable architecture decisions.
• Strong background in scalable, multi-tenant distributed systems, including service decomposition, fault tolerance, observability, and operational resilience.
• Experience designing and implementing human-in-the-loop controls, safety guardrails, and responsible AI practices for production systems.
• Demonstrated ability to drive cross-functional alignment across Engineering, Product, Infrastructure, and Data and ML teams on complex, ambiguous technical challenges.
• Experience mentoring senior engineers and influencing technical direction across multiple teams or divisions without direct authority.
• Ability to work effectively in a fully remote, globally distributed organization with excellent written and asynchronous communication skills.
• Familiarity with GitLab's DevSecOps platform, CI/CD primitives, and the software development lifecycle is a strong plus.

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

What is the role

We're looking for a Principal Software Engineer to join the Elasticsearch - Search team. This globally-distributed team of expert engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene. This is a principal software engineering role that focuses on enhancing the vector similarity search functionality within Elasticsearch, covering the design and implementation of new vector search features, enhancements to existing vector search functionality, and resolving bugs.

Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements.

What You Will Be Doing

• Lead initiatives within Elasticsearch to produce an industry-leading vector database offering, supplying unparalleled speed and relevance in search.
• Contribute to Elasticsearch full time, building new search features and fixing intriguing bugs, all while making the code easier to understand. Sometimes you'll need to invent a new algorithm or data structure. Or find one and implement it. Sometimes you'll need to get close to the operating system and hardware.
• Work with a globally distributed team of experienced engineers focused on the vector search capabilities of Elasticsearch.
• Be an expert on how Elasticsearch implements vector similarity in support of search relevance and everyone will turn to you when they have a question about this area. You'll improve this area based on your questions and your instincts.
• Work with community members from all over the world on issues and pull requests, sometimes triaging them and handing them off to other experts and sometimes handling them yourself.
• Write idiomatic modern Java -- Elasticsearch is 99.8% Java!

What You Bring Along

• You have implemented novel techniques in vector similarity on a search platform with a large user base or progressed the field of academic research in vector similarity information retrieval.
• Professional experience with vector similarity and vector databases, and you used HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale.
• You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as other features like lambdas.
• You work with a high level of autonomy, and are able to take on projects and guide them from beginning to end. This covers both technical design and working with other engineers to develop needed components.
• You're comfortable developing collaboratively. Giving and receiving feedback on code and approaches and APIs is hard! Bonus points if you've collaborated over the internet because that's harder. Double bonus points for asynchronous collaboration over the internet. That's even harder, but we do it anyway because it's the best way we know how to build software.
• You've used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and have some idea how they work and why they work that way.
• You have excellent verbal and written communication skills. Like we said, collaborating on the internet is hard. We try to be respectful, empathetic, and trusting in all of our interactions. And we'd expect that from you too.

Bonus Points

• You've built things with Elasticsearch before.
• You've worked with open source projects and are familiar with different styles of source control workflow and continuous integration.
• Experience with data storage technology.
• You have experience designing, leading and owning cross-functional initiatives

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

Role Description

Responsibilities

• Technical leadership and architecture: Define and drive the technical roadmap for identity and engagement platform services, including APIs, service boundaries, data models, and reliability goals.
• Modernization and platform evolution: Lead multi-quarter modernization efforts (e.g., reducing legacy dependencies, improving scalability, simplifying integrations) with a focus on cohesion, observability, and operational excellence.
• Identity and access systems: Design and improve authentication, authorization, account integrity, and identity lifecycle services with strong security and privacy posture.
• Engagement and insights foundations: Build and evolve the systems that power engagement signals, experimentation hooks, telemetry/analytics pipelines, and usage insights to support product iteration and growth.
• Developer velocity and platform enablement: Create reusable platform primitives, reference architectures, and best practices that make it easier for product teams to build safely and quickly.
• Cross-functional collaboration: Partner with Product, Design, Security, Infrastructure, and AI/ML teams to align technical decisions with customer outcomes and organizational priorities.
• Execution and quality: Own delivery of complex initiatives end-to-end—breaking down ambiguous problems, driving alignment, and ensuring high-quality implementation, testing, rollout, and oncall readiness.
• Mentorship and influence: Mentor senior engineers, review critical designs, elevate engineering standards, and influence technical direction across teams beyond your immediate scope.

Requirements

• 12+ years of software engineering experience, including significant experience designing and operating large-scale backend or platform systems.
• Proven ability to lead architecture for distributed systems with high reliability, performance, and security requirements.
• Strong expertise in at least two of the following areas: identity/authn/authz, service API design, analytics/telemetry infrastructure, search/retrieval foundations, experimentation platforms, or engagement systems.
• Track record of driving modernization efforts in complex environments (e.g., migrating legacy systems, improving data quality and observability, simplifying architecture).
• Excellent technical judgment and ability to balance speed, stability, and long-term maintainability.
• Strong communication skills: able to write clear design docs, align stakeholders, and lead technical decision-making across teams.

Preferred Qualifications

• Experience with cloud-scale identity platforms (SSO, session management, risk signals, account security, privacy controls).
• Familiarity with AI enablement infrastructure, especially data pipelines, engagement signals, retrieval/search systems, and feedback loops.
• Experience building or operating multi-tenant SaaS platforms with strong compliance and security requirements.
• Demonstrated ability to influence org-wide standards and technical strategy (beyond a single team), including mentorship of other tech leads and principals.

Compensation

Role Description

Responsibilities

• Technical leadership and architecture: Define and drive the technical roadmap for identity and engagement platform services, including APIs, service boundaries, data models, and reliability goals.
• Modernization and platform evolution: Lead multi-quarter modernization efforts (e.g., reducing legacy dependencies, improving scalability, simplifying integrations) with a focus on cohesion, observability, and operational excellence.
• Identity and access systems: Design and improve authentication, authorization, account integrity, and identity lifecycle services with strong security and privacy posture.
• Engagement and insights foundations: Build and evolve the systems that power engagement signals, experimentation hooks, telemetry/analytics pipelines, and usage insights to support product iteration and growth.
• Developer velocity and platform enablement: Create reusable platform primitives, reference architectures, and best practices that make it easier for product teams to build safely and quickly.
• Cross-functional collaboration: Partner with Product, Design, Security, Infrastructure, and AI/ML teams to align technical decisions with customer outcomes and organizational priorities.
• Execution and quality: Own delivery of complex initiatives end-to-end—breaking down ambiguous problems, driving alignment, and ensuring high-quality implementation, testing, rollout, and oncall readiness.
• Mentorship and influence: Mentor senior engineers, review critical designs, elevate engineering standards, and influence technical direction across teams beyond your immediate scope.

Requirements

• 12+ years of software engineering experience, including significant experience designing and operating large-scale backend or platform systems.
• Proven ability to lead architecture for distributed systems with high reliability, performance, and security requirements.
• Strong expertise in at least two of the following areas: identity/authn/authz, service API design, analytics/telemetry infrastructure, search/retrieval foundations, experimentation platforms, or engagement systems.
• Track record of driving modernization efforts in complex environments (e.g., migrating legacy systems, improving data quality and observability, simplifying architecture).
• Excellent technical judgment and ability to balance speed, stability, and long-term maintainability.
• Strong communication skills: able to write clear design docs, align stakeholders, and lead technical decision-making across teams.

Preferred Qualifications

• Experience with cloud-scale identity platforms (SSO, session management, risk signals, account security, privacy controls).
• Familiarity with AI enablement infrastructure, especially data pipelines, engagement signals, retrieval/search systems, and feedback loops.
• Experience building or operating multi-tenant SaaS platforms with strong compliance and security requirements.
• Demonstrated ability to influence org-wide standards and technical strategy (beyond a single team), including mentorship of other tech leads and principals.

Compensation

Role Description

The Principal Software Engineer is a highly skilled expert responsible for shaping and executing the organization’s intelligence vision. This role integrates expertise in Artificial Intelligence (AI), Machine Learning (ML), Automation, Data Analytics and Visualization to deliver transformative customer, partner, and colleague experiences that drive revenue growth and enhance productivity.

The position defines the technical direction for intelligence initiatives, leading the design, development, and deployment of robust, scalable, and secure AI solutions while fostering innovation through emerging technologies.

A critical aspect of the role is providing partnership, mentorship and technical guidance, cultivating a culture of excellence and continuous learning. Through close cross-functional collaboration across teams and stakeholders, the role ensures technical efforts are strategically aligned and deliver measurable impact. Additionally, the position plays a central role in strategic problem-solving, addressing complex challenges in intelligence systems and data pipelines, and making informed architectural decisions that ensure long-term scalability and success.

Responsibilities

• Define, drive, and communicate the technical vision for intelligence, AI, and data initiatives, ensuring alignment with CIT strategy, EPD goals, and broader organizational objectives.
• Take a holistic view of CIT systems and architecture to ensure they are scalable, reliable, secure, and maintainable over multiple years.
• Lead the design, development, and deployment of high performance AI systems, data pipelines, and intelligent services from conception through production.
• Make strategic architectural decisions to address complex AI, data, and platform challenges, balancing short term delivery with long term resilience and scalability
• Identify opportunities to simplify systems, reduce operational and security risk, and improve developer productivity.
• Contribute directly to prototyping, proof of concepts, and implementation of technical components when needed to validate strategy, de risk decisions, or accelerate progress.
• Architect, evolve, and scale AI, automation, and intelligence platforms that enable advanced analytics, personalization, search, and intelligent decision making.
• Drive innovation in intelligence models, distributed training, optimization techniques, and data engineering to maximize performance, quality, and business impact.
• Enhance search and discovery capabilities using intelligent algorithms, natural language processing, and modern data systems.
• Evaluate, select, and integrate emerging technologies in AI, ML, and automation to maintain a competitive and forward looking technical posture.
• Partner across engineering, product, design, infrastructure, and other stakeholders to ensure intelligence initiatives directly support strategic objectives.
• Translate technical capabilities and advancements into clear business outcomes that improve productivity, efficiency, and growth.
• Resolve conflicting requirements and priorities with sound technical judgment that favors long term organizational outcomes over local optimization.
• Advocate for intelligence driven solutions across the organization and influence company wide technical priorities.
• Act as a trusted technical advisor to senior engineering leadership, with IC6 scope extending to org wide and EPD level strategy.
• Provide mentorship and technical guidance to engineers and data scientists from mid level through senior, fostering continuous learning and technical excellence.
• Serve as a technical multiplier by raising the effectiveness of surrounding teams through design reviews, code reviews, architectural guidance, and pragmatic execution.
• Facilitate knowledge sharing across teams through documentation, design writeups, technical discussions, and mentorship programs.
• Act as a voice for engineers by synthesizing feedback, surfacing gaps and risks, and communicating them clearly to leadership.
• Contribute to multi year technical vision and roadmap planning, anticipating future scale, complexity, and organizational needs.
• Identify architectural, operational, and security risks early and mobilize proactive mitigation plans across org boundaries.
• Partner closely with managers, product leaders, and senior engineers to ensure ambitious initiatives remain feasible, sustainable, and well aligned.
• For IC6 scope, influence technical direction beyond CIT and partner directly with senior EPD leadership on company wide strategy.
• Lead and support critical, high impact initiatives by defining technical direction, clarifying requirements, gathering estimates, and ensuring delivery against milestones.
• Drive execution on complex projects with significant ambiguity or high cost of failure.
• Improve engineering effectiveness by championing best practices such as CI, automated testing, reliability reviews, and clear ownership models.
• Promote a bias toward action, thoughtful experimentation, and continuous learning.
• Model excellence in engineering craft, collaboration, accountability, and inclusive behavior.
• Lead by example in living Dropbox values, including integrity, ownership, simplicity, and inclusivity.
• Support hiring by interviewing, calibrating candidates against a high technical bar, and representing Dropbox authentically to candidates and partners.

Requirements

• 12+ years of professional experience in software engineering, with depth in areas such as intelligent workflows, enterprise scale AI adoption, automation, or data engineering.
• Proven track record of leading large scale, multi team technical initiatives from conception to production, including solving ambiguous problems, setting technical vision, and driving impact without direct authority.
• Strong architectural judgment and systems thinking, with the ability to balance short term delivery with long term sustainability, scalability, and operational excellence.
• Demonstrated ability to influence across teams and disciplines through technical leadership, collaboration, and sound decision making rather than formal authority.
• Experience mentoring engineers and raising the technical bar of an organization through design reviews, code reviews, and technical guidance.
• Exceptional written and verbal communication skills, with the ability to clearly explain complex technical concepts, translate technical strategy to diverse audiences, and influence stakeholders at all levels.

Role Description

The Principal Software Engineer is a highly skilled expert responsible for shaping and executing the organization’s intelligence vision. This role integrates expertise in Artificial Intelligence (AI), Machine Learning (ML), Automation, Data Analytics and Visualization to deliver transformative customer, partner, and colleague experiences that drive revenue growth and enhance productivity.

The position defines the technical direction for intelligence initiatives, leading the design, development, and deployment of robust, scalable, and secure AI solutions while fostering innovation through emerging technologies.

A critical aspect of the role is providing partnership, mentorship and technical guidance, cultivating a culture of excellence and continuous learning. Through close cross-functional collaboration across teams and stakeholders, the role ensures technical efforts are strategically aligned and deliver measurable impact. Additionally, the position plays a central role in strategic problem-solving, addressing complex challenges in intelligence systems and data pipelines, and making informed architectural decisions that ensure long-term scalability and success.

Responsibilities

• Define, drive, and communicate the technical vision for intelligence, AI, and data initiatives, ensuring alignment with CIT strategy, EPD goals, and broader organizational objectives.
• Take a holistic view of CIT systems and architecture to ensure they are scalable, reliable, secure, and maintainable over multiple years.
• Lead the design, development, and deployment of high performance AI systems, data pipelines, and intelligent services from conception through production.
• Make strategic architectural decisions to address complex AI, data, and platform challenges, balancing short term delivery with long term resilience and scalability
• Identify opportunities to simplify systems, reduce operational and security risk, and improve developer productivity.
• Contribute directly to prototyping, proof of concepts, and implementation of technical components when needed to validate strategy, de risk decisions, or accelerate progress.
• Architect, evolve, and scale AI, automation, and intelligence platforms that enable advanced analytics, personalization, search, and intelligent decision making.
• Drive innovation in intelligence models, distributed training, optimization techniques, and data engineering to maximize performance, quality, and business impact.
• Enhance search and discovery capabilities using intelligent algorithms, natural language processing, and modern data systems.
• Evaluate, select, and integrate emerging technologies in AI, ML, and automation to maintain a competitive and forward looking technical posture.
• Partner across engineering, product, design, infrastructure, and other stakeholders to ensure intelligence initiatives directly support strategic objectives.
• Translate technical capabilities and advancements into clear business outcomes that improve productivity, efficiency, and growth.
• Resolve conflicting requirements and priorities with sound technical judgment that favors long term organizational outcomes over local optimization.
• Advocate for intelligence driven solutions across the organization and influence company wide technical priorities.
• Act as a trusted technical advisor to senior engineering leadership, with IC6 scope extending to org wide and EPD level strategy.
• Provide mentorship and technical guidance to engineers and data scientists from mid level through senior, fostering continuous learning and technical excellence.
• Serve as a technical multiplier by raising the effectiveness of surrounding teams through design reviews, code reviews, architectural guidance, and pragmatic execution.
• Facilitate knowledge sharing across teams through documentation, design writeups, technical discussions, and mentorship programs.
• Act as a voice for engineers by synthesizing feedback, surfacing gaps and risks, and communicating them clearly to leadership.
• Contribute to multi year technical vision and roadmap planning, anticipating future scale, complexity, and organizational needs.
• Identify architectural, operational, and security risks early and mobilize proactive mitigation plans across org boundaries.
• Partner closely with managers, product leaders, and senior engineers to ensure ambitious initiatives remain feasible, sustainable, and well aligned.
• For IC6 scope, influence technical direction beyond CIT and partner directly with senior EPD leadership on company wide strategy.
• Lead and support critical, high impact initiatives by defining technical direction, clarifying requirements, gathering estimates, and ensuring delivery against milestones.
• Drive execution on complex projects with significant ambiguity or high cost of failure.
• Improve engineering effectiveness by championing best practices such as CI, automated testing, reliability reviews, and clear ownership models.
• Promote a bias toward action, thoughtful experimentation, and continuous learning.
• Model excellence in engineering craft, collaboration, accountability, and inclusive behavior.
• Lead by example in living Dropbox values, including integrity, ownership, simplicity, and inclusivity.
• Support hiring by interviewing, calibrating candidates against a high technical bar, and representing Dropbox authentically to candidates and partners.

Requirements

• 12+ years of professional experience in software engineering, with depth in areas such as intelligent workflows, enterprise scale AI adoption, automation, or data engineering.
• Proven track record of leading large scale, multi team technical initiatives from conception to production, including solving ambiguous problems, setting technical vision, and driving impact without direct authority.
• Strong architectural judgment and systems thinking, with the ability to balance short term delivery with long term sustainability, scalability, and operational excellence.
• Demonstrated ability to influence across teams and disciplines through technical leadership, collaboration, and sound decision making rather than formal authority.
• Experience mentoring engineers and raising the technical bar of an organization through design reviews, code reviews, and technical guidance.
• Exceptional written and verbal communication skills, with the ability to clearly explain complex technical concepts, translate technical strategy to diverse audiences, and influence stakeholders at all levels.

Role Description

As a Principal Engineer at Dropbox, you will own company critical, loosely defined technical problems with multi year impact, operating at the intersection of technology, product, business strategy, and applied AI. You will define long term technical direction for customer facing experiences used by millions, identifying where AI meaningfully improves customer value and translating evolving business context and industry advances into durable, multi area strategies and roadmaps that shape how Dropbox builds, scales, and innovates, while remaining hands on in software development where it provides the greatest leverage.

Your influence will span organizations, setting foundational architecture, driving execution standards, and aligning senior technical and product leaders across boundaries. You will lead the responsible introduction and adoption of AI across product capabilities and engineering workflows, bring clarity to the most complex decisions, institutionalize engineering excellence, and contribute directly through critical design, prototyping, and code reviews.

In return, you will operate as a trusted technical partner to senior leadership, shape systems and platforms including AI powered foundations that define Dropbox’s future, and act as a company level technical strategist, advancing Dropbox’s mission to create a more enlightened way of working.

Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.

Responsibilities

• Own and drive technical outcomes across multiple teams and organizations, delivering company critical customer and business impact at scale.
• Define long term technical strategy and partner with senior Product and Engineering leaders as the technical owner for the most important company objectives.
• Tackle the most ambiguous and far reaching technical and product problems, shaping what the company builds as much as how it builds it.
• Remain deeply hands on in software development, owning and implementing the most critical, complex, and foundational parts of the system where leverage is highest.
• Influence and align roadmaps across organizations, resolving structural bottlenecks and changing how Dropbox builds and operates.
• Architect and evolve foundational systems (this may involve both frontend and backend systems) and platforms that enable new product capabilities and operate reliably at the scale of hundreds of millions of users.
• Model exceptional technical judgment and execution rigor, setting and sustaining high engineering standards across a distributed, virtual environment
• Drive AI adoption both to increase productivity and to produce AI based features.

Requirements

• Advanced degree in Computer Science or a related technical field involving substantial software development, or equivalent industry experience demonstrating deep technical mastery.
• 15+ years of experience designing, building, and evolving large scale software systems with sustained impact across multiple teams or organizations.
• Demonstrated success operating at a Principal level, owning company critical technical problems and influencing long term technical direction.
• Strong experience building consumer facing products at scale, with a deep understanding of user experience, performance, reliability, and operational excellence.
• Broad and deep technical expertise across multiple domains, including several of frontend, mobile, search, databases, storage systems, concurrency, and distributed systems.
• Practical experience applying modern ML, LLM based APIs, and agentic frameworks in production systems, with sound judgment around quality, cost, and risk.
• Ability to communicate complex technical concepts clearly and persuasively to senior engineering, product, and executive audiences.

Preferred Qualifications

• Experience defining and scaling company wide platforms or architectural standards that are adopted across multiple organizations.
• Proven track record of leading the introduction of new technologies such as AI or ML into core products or engineering workflows with durable impact.
• Experience operating in highly distributed, virtual first engineering organizations at global scale.

Compensation

Role Description

As a Principal Engineer at Dropbox, you will own company critical, loosely defined technical problems with multi year impact, operating at the intersection of technology, product, business strategy, and applied AI. You will define long term technical direction for customer facing experiences used by millions, identifying where AI meaningfully improves customer value and translating evolving business context and industry advances into durable, multi area strategies and roadmaps that shape how Dropbox builds, scales, and innovates, while remaining hands on in software development where it provides the greatest leverage.

Your influence will span organizations, setting foundational architecture, driving execution standards, and aligning senior technical and product leaders across boundaries. You will lead the responsible introduction and adoption of AI across product capabilities and engineering workflows, bring clarity to the most complex decisions, institutionalize engineering excellence, and contribute directly through critical design, prototyping, and code reviews.

In return, you will operate as a trusted technical partner to senior leadership, shape systems and platforms including AI powered foundations that define Dropbox’s future, and act as a company level technical strategist, advancing Dropbox’s mission to create a more enlightened way of working.

Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.

Responsibilities

• Own and drive technical outcomes across multiple teams and organizations, delivering company critical customer and business impact at scale.
• Define long term technical strategy and partner with senior Product and Engineering leaders as the technical owner for the most important company objectives.
• Tackle the most ambiguous and far reaching technical and product problems, shaping what the company builds as much as how it builds it.
• Remain deeply hands on in software development, owning and implementing the most critical, complex, and foundational parts of the system where leverage is highest.
• Influence and align roadmaps across organizations, resolving structural bottlenecks and changing how Dropbox builds and operates.
• Architect and evolve foundational systems (this may involve both frontend and backend systems) and platforms that enable new product capabilities and operate reliably at the scale of hundreds of millions of users.
• Model exceptional technical judgment and execution rigor, setting and sustaining high engineering standards across a distributed, virtual environment
• Drive AI adoption both to increase productivity and to produce AI based features.

Requirements

• Advanced degree in Computer Science or a related technical field involving substantial software development, or equivalent industry experience demonstrating deep technical mastery.
• 15+ years of experience designing, building, and evolving large scale software systems with sustained impact across multiple teams or organizations.
• Demonstrated success operating at a Principal level, owning company critical technical problems and influencing long term technical direction.
• Strong experience building consumer facing products at scale, with a deep understanding of user experience, performance, reliability, and operational excellence.
• Broad and deep technical expertise across multiple domains, including several of frontend, mobile, search, databases, storage systems, concurrency, and distributed systems.
• Practical experience applying modern ML, LLM based APIs, and agentic frameworks in production systems, with sound judgment around quality, cost, and risk.
• Ability to communicate complex technical concepts clearly and persuasively to senior engineering, product, and executive audiences.

Preferred Qualifications

• Experience defining and scaling company wide platforms or architectural standards that are adopted across multiple organizations.
• Proven track record of leading the introduction of new technologies such as AI or ML into core products or engineering workflows with durable impact.
• Experience operating in highly distributed, virtual first engineering organizations at global scale.

Compensation

How You'll Make An Impact

As a Senior Principal Software Engineer, you will be a technical leader driving the architecture, design, and implementation of complex backend systems at scale. You will set technical direction, mentor team members, and solve challenging technical problems while ensuring our systems meet the highest standards of reliability, performance, and maintainability. Your expertise will be critical in advancing our Agentic AI capabilities.

What You Will Do

• Define and drive the technical vision and architecture for backend systems, ensuring alignment with business objectives and long-term scalability.

• Lead the design and implementation of complex, distributed systems using Python and Java, establishing architectural patterns and best practices.

• Architect and optimize highly scalable, fault-tolerant microservices that handle high-throughput workloads across multiple cloud environments.

• Design and implement sophisticated Agentic AI systems, building proof-of-concepts and production implementations that demonstrate advanced architectures and orchestration patterns.

• Champion the adoption and advancement of Agentic AI capabilities, designing sophisticated agent architectures and orchestration patterns

• Provide technical leadership and mentorship to engineering teams, conducting design reviews, and elevating the technical capabilities of engineers at all levels.

• Drive architectural decisions around data storage, processing, and retrieval strategies across SQL, NoSQL, Vector databases, and search technologies.

• Collaborate with senior leadership, product management, and cross-functional teams to translate business requirements into robust technical solutions.

• Lead incident response for critical production issues, perform deep-dives & root cause analysis, and implement systemic improvements.

• Establish and enforce engineering excellence through coding standards, architectural guidelines, testing strategies, and operational best practices.

• Stay at the forefront of technology trends, evaluate emerging technologies, and drive innovation across the engineering organization.

• Promote continuous improvement, technical excellence, and knowledge sharing.

The Experience You Bring

• Technical Leadership: 10+ years of experience in backend software engineering with a proven track record of leading complex technical initiatives and architectural decisions. 

• Advanced Backend Development: Deep expertise in Python and Java with proficiency in modern frameworks including FastAPI, Django, Flask, Spring Boot. Proven ability to build highly scalable systems.

• Database Architecture: Expertise in database design, optimization, and scaling strategies across SQL, NoSQL, Vector databases, and OpenSearch. Experience designing data models for complex domains and implementing sophisticated data partitioning and replication strategies.

• Agentic AI Expertise: Strong experience in Agentic AI architecture and implementation. Deep understanding of agent design patterns, multi-agent orchestration, tool integration, memory systems & architectures. Extensive hands-on experience building production-grade agentic systems and custom agent architectures. Experience with RAG (Retrieval-Augmented Generation), prompt engineering, and LLM integration strategies.

• Cloud & Infrastructure: Extensive experience architecting and operating systems on AWS, Azure, or Google Cloud at scale. Deep understanding of cloud-native patterns, cloud architectures, and cost optimization strategies.

• Microservices & Containers: Expertise in microservices architecture, distributed systems patterns, and container orchestration using Kubernetes/EKS.

• Infrastructure as Code: Knowledge and proficiency in Terraform, CloudFormation, or Ansible. Experience building self-service infrastructure platforms and developer tooling.

• DevOps & SRE Practices: Deep understanding of CI/CD pipelines, deployment strategies, observability, monitoring, and incident management. Experience establishing SLIs, SLOs, and error budgets.

• System Design Excellence: Proven ability to design highly scalable systems with strong understanding of consistency, availability, tolerance, latency, and cost. Experience with distributed caching, message queues, event streaming, and asynchronous processing patterns.

• Quality & Testing Leadership: Champion of testing best practices including TDD, integration testing, and chaos engineering. Experience establishing testing frameworks and quality gates that enable rapid, confident deployments.

• Performance & Optimization: Deep expertise in performance profiling, optimization, and capacity planning. Experience identifying and resolving bottlenecks in distributed systems.

• Mentorship & Communication: Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences. Proven track record of mentoring senior engineers and elevating team capabilities. Experience leading technical discussions, design reviews, and architecture forums.

• Agile & Process Leadership: Strong understanding of Agile/Scrum methodologies with experience shaping engineering processes, tooling (Jira, Confluence), and practices that enhance team productivity. 

• Any prior experience with LLM model Reinforcement fine tuning, model distillation, building inference infrastructure/framework, model evaluation is going to be a big plus

Education & Experience

• Bachelor's or Master's degree in Computer Science or related field with 10+ years of professional experience in backend software development, including 3+ years in technical leadership roles.

• Demonstrated thought leadership through technical blogs, conference talks, open-source contributions, or patents is highly valued.

Aren’t sure if you’re a match? We know that impostor syndrome and the confidence gap can prevent us from meeting spectacular candidates — so don’t hesitate to apply; you could be the perfect fit!

Location
Vancouver (remote)

Compensation and Benefits 

Boomi is committed to fair and equitable compensation practices. Base compensation for this position in our Vancouver hub ranges from $176,256 - $220,320 CAD annually + applicable bonus. Final compensation will be determined by various factors including the candidate’s knowledge, skills, experience, and geographic location. 

How You'll Make An Impact

As a Principal Software Engineer, you will be a technical leader driving the design and implementation of complex backend systems at scale. You will set technical direction, guide team members, and solve challenging technical problems while ensuring our systems meet the highest standards of reliability, performance, and maintainability. Your expertise will be critical in advancing our Agentic AI capabilities.

What You Will Do

• Lead the design and implementation of complex, distributed systems using Python and Java, establishing architectural patterns and best practices.

• Design and optimize highly scalable, fault-tolerant microservices that handle high-throughput workloads across multiple cloud environments.

• Design and implement sophisticated Agentic AI systems, building proof-of-concepts and production implementations that demonstrate advanced architectures and orchestration patterns.

• Champion the adoption and advancement of Agentic AI capabilities, designing sophisticated agent architectures and orchestration patterns

• Provide technical leadership and guidance to the team, conducting design & code reviews

• Drive design decisions around data storage, processing, and retrieval strategies across SQL, NoSQL, Vector databases, and search technologies.

• Collaborate with other senior team members, product management, and cross-functional teams to translate requirements into robust technical solutions.

• Lead incident response for critical production issues, perform deep-dives & root cause analysis, and implement systemic improvements.

• Establish and enforce engineering excellence through coding standards, architectural guidelines, testing strategies, and operational best practices.

• Stay at the forefront of technology trends, evaluate emerging technologies, and drive innovation across the engineering organization.

• Promote continuous improvement, technical excellence, and knowledge sharing.

The Experience You Bring

• Technical Leadership: 8+ years of experience in backend software engineering with a proven track record of leading complex technical initiatives and architectural decisions. 

• Advanced Backend Development: Deep expertise in Python and Java with proficiency in modern frameworks including FastAPI, Django, Flask, Spring Boot. Proven ability to build highly scalable systems.

• Database Architecture: Expertise in database design, optimization, and scaling strategies across SQL, NoSQL, Vector databases, and OpenSearch. Experience designing data models for complex domains and implementing sophisticated data partitioning and replication strategies.

• Agentic AI Expertise: Experience  in Agentic AI architecture and implementation. Good understanding of agent design patterns, multi-agent orchestration, tool integration, memory systems & architectures. Hands-on experience building production-grade agentic systems and custom agent architectures. Experience with RAG (Retrieval-Augmented Generation), prompt engineering, and LLM integration strategies.

• Cloud & Infrastructure: Extensive experience architecting and operating systems on AWS, Azure, or Google Cloud at scale. Deep understanding of cloud-native patterns, cloud architectures, and cost optimization strategies.

• Microservices & Containers: Expertise in microservices architecture, distributed systems patterns, and container orchestration using Kubernetes/EKS.

• Infrastructure as Code: Knowledge and proficiency in Terraform, CloudFormation, or Ansible. Experience building self-service infrastructure platforms and developer tooling.

• DevOps & SRE Practices: Deep understanding of CI/CD pipelines, deployment strategies, observability, monitoring, and incident management. Experience establishing SLIs, SLOs, and error budgets.

• System Design Excellence: Proven ability to design highly scalable systems with strong understanding of consistency, availability, tolerance, latency, and cost. Experience with distributed caching, message queues, event streaming, and asynchronous processing patterns.

• Quality & Testing Leadership: Champion of testing best practices including TDD, integration testing, and chaos engineering. Experience establishing testing frameworks and quality gates that enable rapid, confident deployments.

• Performance & Optimization: Deep expertise in performance profiling, optimization, and capacity planning. Experience identifying and resolving bottlenecks in distributed systems.

• Mentorship & Communication: Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences. Experience leading technical discussions, design reviews, and architecture forums.

• Agile & Process Leadership: Strong understanding of Agile/Scrum methodologies with experience shaping engineering processes, tooling (Jira, Confluence), and practices that enhance team productivity.

• ​Any prior experience with LLM model Reinforcement fine tuning, model distillation, building inference infrastructure/framework, model evaluation is going t be a big plus

Education & Experience

• Bachelor's or Master's degree in Computer Science or related field with 8+ years of professional experience in backend software development, including 2+ years in technical leadership roles.

• Demonstrated thought leadership through technical blogs, conference talks, open-source contributions, or patents is highly valued.

Aren’t sure if you’re a match? We know that impostor syndrome and the confidence gap can prevent us from meeting spectacular candidates — so don’t hesitate to apply; you could be the perfect fit!

Location
Vancouver (Hybrid)

Compensation and Benefits 

Boomi is committed to fair and equitable compensation practices. Base compensation for this position in our Vancouver hub ranges from $154,717 - $193,397 CAD annually + applicable bonus. Final compensation will be determined by various factors including the candidate’s knowledge, skills, experience, and geographic location. 

Role Overview

As a Principal Product Applications Engineer at Astera Labs, you will be at the forefront of enabling the world's leading cloud service providers and server/network OEMs to successfully deploy connectivity solutions. This high-impact role sits at the intersection of cutting-edge silicon, firmware, and customer success—where you'll tackle complex technical challenges that push the boundaries of AI infrastructure connectivity.

You will serve as a trusted technical advisor to strategic customers, guiding them through design-in, bring-up, and optimization of Astera Labs products. With a strong firmware orientation, you'll dive deep into embedded systems, debug intricate firmware-hardware interactions, and drive issues to resolution across the full stack. Your insights from the field will directly influence product roadmaps and engineering priorities, making you a critical bridge between customers and our R&D teams.

This is an opportunity to work on industry-defining connectivity products that power next-generation data centers and AI platforms—all within a fast-paced, hypergrowth environment where your contributions have immediate and visible impact.

Key Responsibilities

• Customer Technical Engagement
  • Provide expert technical guidance to tier-1 customers throughout the design-in lifecycle, from early evaluation through production deployment
  • Build trusted relationships with customer engineering teams, serving as the go-to resource for product integration
  • Deliver technical presentations, training sessions, and design reviews to accelerate customer success
• Firmware Debug & Issue Resolution
  • Investigate and reproduce customer-reported issues involving firmware, silicon, hardware design, and system-level interactions
  • Drive root cause analysis and coordinate cross-functional teams to deliver timely resolutions
  • Develop firmware-based tools, scripts, and utilities to streamline debug and validation workflows
• Technical Collateral & Knowledge Sharing
  • Create high-quality application notes, integration guides, and technical documentation for internal and external audiences
  • Provide actionable feedback to product, firmware, and silicon teams to continuously improve products and customer experience
  • Contribute to the development of reference designs and best practices for product deployment
• Lab Validation & Bring-Up
  • Execute hands-on silicon and system bring-up activities, including firmware validation and performance characterization
  • Utilize lab equipment such as protocol analyzers, high-speed oscilloscopes, and traffic generators to diagnose complex issues
  • Support interoperability testing across diverse customer platforms and configurations

Basic Qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, or related field
• 8+ years of experience in product applications, field applications, or systems engineering roles supporting complex semiconductor products
• Strong firmware development and debugging skills, including proficiency in embedded C and Python
• Experience with high-speed interfaces such as PCIe Gen5/6/7 or Ethernet
• Demonstrated ability to triage and resolve multi-layer issues spanning silicon, firmware, and system environments
• Excellent written and verbal communication skills with a track record of producing clear technical documentation

Preferred Qualifications

• Master's degree in Electrical Engineering, Computer Engineering, or related field
• Experience with Ethernet products, retimers, or PCIe connectivity solutions
• Hands-on experience with protocol analyzers, high-speed oscilloscopes, and BERTs
• Background working directly with cloud service providers, server OEMs, or networking equipment manufacturers
• Understanding of data center architectures including servers, AI platforms, JBOGs/JBODs, and network switches
• Familiarity with physical layer concepts and signal integrity fundamentals

The base salary range for this role is CAD 180,000 – CAD 205,000. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for a performance bonus, equity, and benefits.

What you'll do: 

Forma.ai is hiring a Principal SPM Architect- Territory and Quota Planning to lead our suite of TQM tools. We’re looking for a domain expert who brings real-world perspective on designing, implementing, and rolling out territories and quotas for mid-sized and enterprise organizations.

Reporting to the CTO, you will help shape our TQM product end to end. You’ll work closely with engineering leads, customers, and senior leadership at Forma to define product strategy, shape requirements, and prioritize what we build.

This role is for someone with deep, practical experience in TQM. If you wouldn’t feel comfortable leading a territory and quota implementation—from high-level objective setting and modeling through to rollout and adoption—this likely isn’t the right fit.

You’ll also contribute to building our product roadmap but don’t need formal product management experience (though it’s a plus). What matters most is that you’re organized, collaborative, thoughtful, and a clear communicator who can translate complex domain knowledge into great product decisions.

The role’s key responsibilities are listed below:

• Lead the implementation of enterprise level TQM models
• Own product requirements and feature prioritization for territory design, quota setting, territory management, and related capabilities
• Help customers design and evaluate territory and quota models 
• Translate input from customers, leadership, and your own experience into user flows and product ideas
• Partner with engineering to shape features, refine requirements, and make prioritization tradeoffs
• Gather and synthesize feedback from customers and senior leadership
• Communicate product vision and roadmap to internal teams and customers
• Operate with high ownership—driving clarity, making decisions, and moving forward in ambiguity
• Create lightweight wireframes and prototypes to quickly validate ideas

What we're looking for: 

• You have deep domain experience in territory and quota planning as a consultant, solutions architect, engineer, revops role or SPM related role
• Hands on experience implementing and rolling out large scale TQM models
• You’re excited to apply that expertise to build better tooling
• You’re comfortable owning a TQM implementation end to end
• Experience managing enterprise clients
• You’re collaborative and enjoy working cross-functionally
• You’re pragmatic, decisive, and outcomes-focused
• You’re a strong written and verbal communicator

Additional Job Info:

• This position is for an existing vacancy
• Salary range: $170K - $200K CAD

An overview of this role

GitLab is seeking a Principal Engineer to set technical direction for our most critical infrastructure platforms. This role operates at organizational scale, owning architecture, solving complex systems problems, and driving initiatives that shape how GitLab grows, performs, and remains reliable.

As a Principal Engineer, you will serve as a technical authority and force multiplier, leading architectural decisions across distributed and cloud-native systems to translate business strategy into durable technical direction. Spanning multiple teams and domains, you will bring clarity to ambiguity, raise engineering standards, and mentor senior talent while remaining accountable for real production outcomes. This is a hands-on, high-impact role for leaders who drive success through influence and shape the foundational platforms that the entire organization depends on.

Organizational Focus Areas

Principal Engineers at GitLab drive strategy across our most critical infrastructure and delivery groups. Role placement across the following tracks is determined by business need and organizational priority.

Group Tenant Scale (GTS)

This track builds GitLab’s next generation, multi-tenant, horizontally scalable, and resilient SaaS platform. You will architect the foundations that enable other engineering teams to build upon this platform and drive convergence among GitLab’s various platforms..

• Core Focus: Lead the design and evolution of projects that enable our distributed, multi-tenant SaaS transformation, including Cells, Organizations, and OrgMover.
• Distributed Architecture: Architect for zero downtime, transparent relocation, and application hardening in a massive distributed environment.
• Strategic Decisions: Guide architecture decisions with availability, reliability, resiliency, performance, and cost in mind.

GitLab Delivery 

The GitLab Delivery track focuses on enhancing the reliability, efficiency, and speed of GitLab’s end-to-end software delivery across all platforms and offerings.

• Core Focus: Lead the platform strategy spanning Developer Experience, CI infrastructure, packaging, and release delivery across SaaS, Self-Managed, and Dedicated.
• Developer Experience: Treat GitLab engineers as customers, building self-service tooling, testing infrastructure, and paved paths that increase velocity while maintaining quality.
• Delivery at Scale: Architect reliable, automated pipelines that streamline how GitLab is packaged, released, and deployed across all platforms and offerings.

What You'll Do

• Own and drive the architectural direction for critical infrastructure platforms that support GitLab at global scale.
• Lead the design and evolution of large platforms and distributed systems that are scalable, resilient, secure, and cost-efficient.
• Serve as the technical authority on complex initiatives, guiding decisions that impact multiple teams and product areas.
• Translate business and product strategy into long-term technical roadmaps and execution plans.
• Drive alignment across engineering, product, and leadership by clearly communicating tradeoffs and recommendations.
• Establish technical standards and architectural patterns that raise quality and consistency across the organization.
• Be accountable for production outcomes, including reliability, performance, and operational excellence.
• Mentor senior engineers and act as a force multiplier through influence rather than direct authority.
• Operate effectively in ambiguous problem spaces where both the problem and the solution need to be defined.

What You'll Bring

• Proven experience designing and evolving large-scale platforms or distributed systems in cloud-native environments.
• Strong proficiency in Golang and/or Ruby, with the ability to contribute to, review, and guide core architectural changes in production codebases.
• Strong architectural judgment, including the ability to balance scalability, reliability, performance, security, and cost.
• Experience owning platform-level technical decisions that impacted multiple teams or an entire engineering domain.
• Solid understanding of Kubernetes-based environments as a production platform, including how they influence system design, deployment models, reliability, and operational complexity.
• Experience being accountable for production systems, not just design recommendations.
• Ability to author and drive long-term technical strategy and multi-month roadmaps.
• Track record of leading through influence and shaping technical direction without direct authority.
• Comfort making high-impact technical decisions, including build vs buy vs partner tradeoffs.
• Strong communication skills, with the ability to explain complex technical concepts to engineers, leadership, and non-technical stakeholders.

About the team

The Principal Engineer role sits within GitLab’s Infrastructure Platforms organization, working across multiple teams to shape how our platform scales and operates. This group is responsible for some of GitLab’s most critical systems, including the multi-tenant SaaS platform, core delivery pipelines, and the underlying infrastructure that powers millions of users. As a Principal Engineer, you’ll define technical direction, guide architectural decisions, and ensure our platforms remain resilient, performant, and modern. The team operates fully remotely and collaborates asynchronously across time zones, grounded in GitLab’s values of transparency, autonomy, and open communication. You’ll help the organization tackle complex distributed systems challenges at scale while mentoring other engineers and building a culture focused on reliability, efficiency, and continuous improvement.

About the role:

The Safety team is pioneering the application of AI to make physical operations safer at global scale. We build intelligent systems that combine computer vision, VLMs, sensor data, environmental context, and behavioral patterns to detect risk and prevent accidents before they happen for some of the largest, most complex physical operations companies in the world. We’re looking for an entrepreneurial, technically-minded Product Manager to take one of our largest and fastest-growing businesses - Video-based Safety - to the next level. This is a high-ownership role launching and scaling new safety products for our customers, leveraging data from our millions of deployed devices.

In this role, you’ll define and build the core components of our perception and prediction stack, deepening our understanding of the road, environment, and surrounding vehicles and using that understanding to change driver behavior. You'll be empowered to experiment boldly, challenge conventional thinking, and demonstrate the transformative power of AI when applied to the most challenging and complex operational environments.

We’re looking for someone with a high degree of customer-obsession and a passion for changing the physical world. The ideal candidate has spent time as a founder or early startup engineer / PM with deep experience applying AI/ML to solve customer problems, and has led at-scale products. You'll collaborate closely with our dedicated teams in Engineering and Design, as well as work cross-functionally with Sales, Marketing, and Customer Success to propel our video-based safety product to its next phase of growth.

Our ambitions for this product are high, and we're excited to invite you to join us!

This is a remote position open to candidates residing in Canada.

You should apply if:

• You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best. 

In this role, you will: 

• Define and lead the roadmap for core components of Samsara’s perception stack running on millions of vehicles worldwide.
• Develop AI/ML models that enable Samsara to have a comprehensive understanding of driver behavior and crash risk and interventions required to reduce that risk.
• Work with our talented engineering teams to conceptualize and launch new safety products to help drive a fast-growing, at-scale business with $1 Billion+ in ARR.
• Build relationships with customers at the forefront of physical operations to deeply understand their business, their needs, and inform our roadmap.
• Lead by example in using AI tools to accelerate product development, customer research, and decision-making.
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

Minimum requirements for the role:

• 7+ years in a product management and/or product-oriented engineering role.
• Track record of delivering business results for both 0-to-1 and at-scale products.
• Demonstrated experience and passion working on products that leverage state of the art AI/ML/CV.
• Strong technical background, ability to grasp technical concepts, and establish credibility with engineers.
• Experience balancing priorities across a complex set of business goals and engineering teams.

An ideal candidate also has:

• Deep experience creating and growing products leveraging video data.
• Facility with development and deployment of AI/ML models, including training and evaluation pipelines.
• Understanding or experience with foundation models, model quantization and distillation.
• Experience in autonomous vehicles, robotics, physical operations, or on products with a vertically integrated hardware + software stack.
• Familiarity with B2B SaaS products and working with B2B sales teams.

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint. 

Headquartered in New York City, our culture has been recognized by Inc Magazine as a "Best Workplace,” by Crain’s NY as a "Best Places to Work in NYC," and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of the World’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Team:

Be part of an exciting and growing Data Engineering team at the core of everything we do. SecurityScorecard's ratings platform processes enormous volumes of data — and the reliability, performance, and integrity of our data pipelines directly determines the quality of our product. Our team operates with a strong emphasis on collaboration, shared ownership, and engineering excellence. You will be hands-on across the full software development life cycle, working alongside a global team that values both technical depth and clear communication. Check out our tech blog and let us know if you're our next star.

https://techblog.securityscorecard.com/

About the Role:

We are looking for a Staff Engineer to join our Data Engineering team. This is a senior individual contributor role with real technical leadership scope — you will serve as a technical anchor for the team, raising the bar on engineering quality, mentoring engineers at earlier career stages, and owning complex, high-impact systems end-to-end. Our data infrastructure is Scala and Spark-first, processing data at significant scale to power security ratings for over 2 million companies worldwide. If you thrive in environments where you own hard problems, make independent architectural decisions, and can operate with minimal handholding, this role was built for you.

This role is open to candidates based in Canada (Eastern time zone preferred) or LATAM.

What You Will Do:

• Serve as a technical lead and de facto anchor for the data engineering team — setting the standard for code quality, system design, and engineering judgment
• Own complex, ambiguous data engineering problems end-to-end, from architecture through deployment and ongoing reliability
• Mentor and level up junior and mid-level engineers through code reviews, design discussions, and direct feedback
• Partner with Product Managers and cross-functional stakeholders to translate business requirements into scalable, maintainable technical solutions
• Drive architectural decisions across infrastructure, application, and data tiers — and be accountable for their outcomes
• Identify and lead initiatives to improve system performance, reliability, and engineering efficiency across the team
• Participate in all stages of the software development life cycle, from design and development through deployment and maintenance
• Implement comprehensive testing and performance tuning to ensure system stability and uptime

Responsibilities:

• Define technical approaches for large-scope projects, estimate effort, and help unblock teammates at all levels
• Write clean, maintainable, production-grade code that sets the example for readability, design patterns, reusability, and testing
• Own end-to-end systems across infrastructure, application, and data tiers — not just individual components
• Lead code reviews with a focus on raising team standards, not just catching bugs
• Continuously monitor performance metrics across owned systems and proactively drive improvements and refactors
• Contribute to a culture of documentation, knowledge sharing, and engineering rigor

Our Tech Stack:

• Scala, Apache Spark, Python
• Airflow
• ScyllaDB, PostgreSQL, ClickHouse, Hive, Redis, Kafka, Kafka Connect
• Docker, Jenkins, Terraform, AWS

Technical Skills:

• 8+ years of experience in the Data Engineering space, building and maintaining large-scale data pipelines
• Deep proficiency in Scala — our data platform is Scala-first and this is the primary language for this role
• Expert-level experience with Apache Spark and distributed data processing at scale
• Strong system design and architecture skills — you can reason about trade-offs, design for reliability, and communicate your decisions clearly
• Experience designing, building, and maintaining ETL pipelines and data infrastructure in production environments
• Comfort with high-throughput, high-volume systems (TB-scale data processing)
• Familiarity with strongly-typed and functional programming principles
• Track record of mentoring engineers and elevating team technical quality
• Proficiency with version control tools, particularly Git

Nice To Have:

• Experience with a variety of data formats (structured/unstructured, flat files, XML, JSON, relational, Parquet)
• Experience in the cybersecurity domain or working on security-adjacent data products
• Prior experience in a Staff or Principal IC role with cross-team technical influence

Benefits:

The estimated total compensation range for this position is $140,000 - $160,000 CAD (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits.

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law. 

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law. 

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI

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 Role and Its Impact 

Our analog connectivity product portfolio includes sophisticated mixed-signal components that form the critical signal conditioning path in both optical modules and copper interconnects: transimpedance amplifiers, transmit drivers, continuous-time linear equalizers, and integrated analog subsystems. The firmware you develop will directly control the adaptive behavior, calibration sequences, and real-time performance optimization of these analog circuits deployed in data centers worldwide.  

As a Principal Engineer in our Signal Connectivity Engineering group, you'll shape firmware architectures that directly impact the performance and reliability of connectivity solutions powering AI infrastructure globally. You'll take end-to-end ownership of the software lifecycle, from pre-silicon planning through production deployment and field support. You will bridge the gap between sophisticated analog circuit design and the software intelligence required to make these circuits adaptive and robust. Working at the intersection of embedded systems and analog control, you'll collaborate closely with mixed-signal designers, systems architects, silicon validation engineers, and customer teams while building and leading a technical team in a high-growth company. 

We're a startup, and this role reflects that reality. You'll have responsibilities spanning firmware architecture, team building, CI/CD infrastructure, customer engagement, and lab automation. We're looking for someone who thrives wearing multiple hats and is energized by jumping into whatever needs doing. We recognize this breadth and reward it accordingly. 

This position offers an opportunity to build and lead a team from the ground up. You'll help hire two engineers and will play an active role in recruiting as the team grows. Depending on your preferences, you can either manage these engineers directly from day one, or mentor them while remaining in a technical lead capacity, either path is fully supported. 

Level is negotiable based on experience and qualifications. 

Location & Travel 

This is a remote position, but candidates must be located and authorized to work in the Ottawa area. Occasional travel to our San Jose headquarters will be required, approximately twice per year for chip bring-ups and project coordination. 

Core Responsibilities 

Software Ownership & Architecture 

• Own the complete firmware stack for analog connectivity products, from low-level hardware abstraction through customer-facing APIs 
• Design and implement embedded firmware that controls complex analog subsystems including adaptive equalization, gain control, PLL/CDR feedback loops, and thermal management 
• Architect calibration algorithms, state machines, and control flow for managing analog tuning parameters across process, voltage, and temperature variation 
• Establish software quality gates and validation criteria at each development phase 

Technical Leadership & Team Building 

• Help recruit and hire two engineers to join your team, with ongoing involvement in recruiting as the team expands 
• Lead your team, whether through direct management or technical mentorship, through design, implementation, code review, and debugging activities 
• Lead architecture discussions and technical tradeoff decisions; balance performance, code size, maintainability, and time-to-market 
• Serve as the go-to technical expert for mixed-signal firmware and analog control loop behavior 
• Drive difficult debug sessions in the lab and through remote customer support, coordinating across silicon design, systems, and applications teams 

Cross-Functional Collaboration 

• Partner with analog circuit designers to understand hardware behavior, tuning requirements, and failure modes 
• Collaborate with product applications to translate customer requirements into firmware features and APIs 
• Work alongside silicon and system validation teams to develop test plans, automate characterization flows, and verify firmware behavior across corner cases 
• Coordinate with field applications engineers to support customer integration and resolve deployment issues 
• Provide regular project updates on progress, risks, dependencies, and technical challenges 

What You Bring 

Required Qualifications: 

• BS/MS in Computer Science, Electrical Engineering, Computer Engineering, or related field 
• 10+ years of embedded C/C++ firmware development in resource-constrained environments 
• Proven track record as a Technical Lead or Team Lead on embedded projects from architecture through production 
• Deep understanding of microcontroller architecture, memory-mapped peripherals, interrupt handling, and bare-metal firmware design 
• Solid experience with analog control loops: PID controllers, feedback systems, adaptive algorithms, and tuning methodologies 
• Strong proficiency with Linux development tools: gcc/clang, make, bash scripting, gdb, and git 
• Excellent verbal and written communication skills; ability to explain complex technical concepts clearly 
• Demonstrated problem-solving ability and systematic debugging approach on real hardware 
• Comfort with ambiguity and a willingness to take on whatever challenges arise in a fast-moving startup environment 

Highly Valued Skills: 

• Experience with Python for test automation, data analysis, or general scripting 
• Hands-on experience building and maintaining Jenkins CI/CD pipelines and automated test infrastructure 
• Familiarity with mixed-signal systems: ADC/DAC interfaces, sensor readout, analog signal conditioning, calibration techniques 
• Knowledge of transimpedance amplifiers, transmit drivers, equalizers (CTLE/DFE), CDR/PLL circuits, or related analog signal path components 
• Background in optical module firmware, pluggable optics/AEC standards (MSA/CMIS), retimer or gearbox firmware/API, or high-speed copper connectivity 
• Experience with lab equipment: oscilloscopes, power supplies, logic analyzers, Viavi/Lecroy/Exfo/Keysight/Tektronix/etc. 
• Exposure to SERDES, Ethernet PHYs, layer 1 devices, or PCIe physical layer implementations 
• Understanding of signal integrity concepts: equalization, channel loss, jitter, eye diagrams, and link margin 
• Familiarity with FPGA emulation, pre-silicon validation, or hardware simulation environments 
• Experience with RTOS, device drivers, coroutines 
• Prior people management, mentorship, or recruiting experience 

Compensation 

Salary range is CAD $184,500 to $205,000 depending on experience, level, and business need. This role will include a discretionary bonus, extremely competitive equity package, comprehensive health/dental/vision coverage, professional development opportunities, and a culture that values technical excellence, collaboration, and innovation. 

An overview of this role

As the Principal Engineer, Software Supply Chain Security, you’ll own the technical strategy that secures how software is built and delivered on GitLab’s DevSecOps platform. You’ll provide architectural leadership across multiple engineering teams. You’ll also partner closely with infrastructure and CI/CD teams to harden our pipelines, infrastructure, and access layers. Your work will shape GitLab’s enterprise security posture in the rapidly growing software supply chain security market. You’ll focus on SLSA Level 3 compliance, secrets management, CI/CD security hardening, and the foundations of GitLab’s global zero trust architecture. You’ll mentor Staff Engineers and individual contributors, and you’ll guide critical technical decisions. You’ll also act as a spokesperson with customers and external stakeholders for GitLab’s secure, mission-critical SaaS that runs millions of pipelines.

Some examples of our projects:

• SLSA Level 3 compliance and provenance attestation across GitLab’s CI/CD platform
• Integrated secrets management and runner security for container-isolated, secure pipelines

What you’ll do

• Lead the end-to-end software supply chain security architecture for GitLab’s CI/CD platform, including SLSA Level 3 implementation and CI infrastructure hardening.
• Drive cross-team technical strategy and decisions across our Software Supply Chain Security (SSCS) stage teams, aligning engineering work to SSCS strategic plans.
• Collaborate with infrastructure and CI/CD teams to design and land long-term initiatives for secure, scalable runner architecture, container isolation, and pipeline security at scale.
• Propose and validate technical implementations that support architectural changes to improve CI/CD scaling and performance on critical paths.
• Teach, mentor, and coach Staff Engineers and individual contributors, raising the bar on supply chain threat modeling, secrets management, artifact signing, and SBOM lifecycle practices.
• Partner with Engineering Managers and senior leadership to define roadmaps, break down complex initiatives, and enable Staff Engineers to lead sub-department-wide efforts.
• Engage with customers and external stakeholders as a technical consultant and spokesperson for GitLab’s software supply chain security capabilities and roadmap.
• Collaborate with product, security, and compliance stakeholders to ensure features meet enterprise security, governance, and regulatory expectations in the software supply chain security market.

What you’ll bring

• Deep expertise in software supply chain security, including threat modeling for supply chain attack vectors, SLSA implementation and attestation systems, and SBOM generation and lifecycle management.
• Strong knowledge of artifact signing and verification using the Sigstore ecosystem, including Cosign, Fulcio, Rekor, and in-toto attestations.
• Experience designing and hardening CI/CD security, such as runner isolation, pipeline security controls, and secrets management in large-scale environments.
• Background in distributed systems and infrastructure, including building resilient CI/CD platforms that process high pipeline volumes and optimizing performance for critical paths.
• Practical experience with container security and Kubernetes security, including admission controllers, policy controllers, workload isolation, and registry hardening.
• Proficiency in Go or Rust in a production environment, combined with expert-level understanding of CI/CD workflows and DevSecOps best practices.
• Experience operating as a Principal or Staff Engineer across multiple development teams, providing architectural leadership and partnering with Engineering Managers and senior leaders.
• Demonstrated capacity to clearly communicate complex problems and solutions.

About the team

Our Software Supply Chain Security stage engineering teams are responsible for authentication and access within GitLab. We also build features that help customers manage vulnerabilities, dependencies, security policies, and compliance frameworks across their organizations. Our group includes four core teams (Authentication, Authorization, Pipeline Security, and Compliance) and more than 40 engineers. We work asynchronously across regions and partner closely with product, security, and infrastructure to deliver secure-by-default features for customers in highly regulated industries.

Wavelo is a SaaS business on a mission to make telecoms a breeze.

We provide flexible software that modernizes how communication service providers (CSPs) do business, helping them drive more value, focus on customer experience, and scale their operations faster.

As part of Tucows (NASDAQ:TCX, TSX:TC)—one of the world’s largest Internet services companies—Wavelo is backed by outstanding resources and talent. We embrace a people-first philosophy that is rooted in respect, trust, and flexibility. We believe that whatever works for our employees is what works best for us. It’s also why the majority of our roles are remote-first, meaning you can work from anywhere you can connect to the Internet!

The work we do genuinely changes lives. If this sounds exciting, we’d love to hear from you! 

About the Opportunity

We are seeking a self-motivated Principal Engineer - Platform Engineering with strong backend software development experience who enjoys solving complex problems, building scalable systems, and sharing knowledge across teams.

In this role, you will set technical direction and lead the design and development of high-impact backend services and systems that power Wavelo's products. You'll focus on building reliable, performant, and maintainable software, enabling teams to ship high-quality features efficiently at scale.

This role is ideal for someone who thrives in ambiguous problem spaces, can translate business needs into robust technical solutions, and consistently raises the bar for software design and engineering practices across teams.

You will collaborate closely with product, data, and infrastructure partners to design APIs, improve system architecture, and evolve our backend ecosystem. While you'll work alongside Infrastructure and DevOps teams, your primary focus will be on application-layer design, service reliability, and delivering customer-facing value through code.

This is a remote opportunity for applicants in Canada.

Job Duties

In the First Month

• Gain a deep understanding of the current platform landscape including infrastructure, platform services, and application layers.

• Identify key constraints that are slowing engineering delivery.

• Build context around the environment platform strategy, including declarative environments, generated artifacts, and self-service developer experiences.

• Identify current platform gaps such as manual steps or fragile integrations.

• Establish strong working relationships across Infrastructure/CI, Operations, Security, and product engineering teams.

• Begin shaping shared standards through design reviews and code reviews.

• Identify 1–2 high-leverage improvements (e.g., removing manual provisioning steps, improving reliability signals, tightening CI/CD contracts).

In the First 3 Months

• Contribute to and lead technical design and architecture discussions for foundational platform initiatives.

• Design and implement features that improve platform repeatability, reliability, and safety.

• Deliver solutions such as:

  • Dependency-ordered orchestration inputs

  • Self-service preview tooling

  • Standardized deployment interfaces

• Promote an “automate-first” mindset by reducing manual operational work and pushing reliability and quality earlier in the development lifecycle.

• Improve engineering quality through:

  • Strong code review culture

  • Clear technical standards

  • Practical documentation and runbooks that reduce tribal knowledge.

In the First Year

• Own multiple platform initiatives end-to-end, from concept through production outcomes.

• Balance delivery speed with sound architectural decisions and long-term maintainability.

• Set technical direction across teams within your domain.

• Deliver measurable improvements in:

  • Environment spin-up time

  • Deployment and rollback safety

  • Incident and operational toil reduction

  • Observability coverage

• Act as a mentor to senior and junior engineers, multiplying impact through coaching and technical leadership.

• Establish sustainable cross-team alignment mechanisms, including:

  • Clear platform contracts

  • Reference implementations

  • Architectural decision records.

Knowledge, Skills and Abilities

• Proven ability to lead and deliver complex, loosely scoped technical initiatives.

• Strong platform engineering mindset, including building reusable primitives, paved-road solutions, and automation frameworks that enable product teams.

• Experience designing and building reliable, scalable, and operationally sound software systems.

• Ability to influence without authority, driving alignment across teams through clarity, pragmatism, and shared standards.

• Strong automation-first mindset with a focus on measurable engineering outcomes such as:

  • DORA metrics

  • Toil reduction

  • Faster environment provisioning.

Qualifications Required

• 8+ years of professional software development experience or equivalent depth of technical ownership.

• Demonstrated experience leading platform, infrastructure, or developer-experience initiatives that improved reliability and/or delivery speed.

• Experience with modern software delivery practices.

​​The base salary range for this position is $164,500 to $192,800. Range shown in $CAD for Canadian residents. Other countries will differ. Range may vary on a number of factors including, but not limited to: location, experience and qualifications. Tucows believes in a total rewards offering that includes fair compensation and generous benefits

Want to know more about what we stand for? At Wavelo and Tucows we care about protecting the open Internet, narrowing the digital divide, and supporting fairness and equality.

We also know that diversity drives innovation. We are committed to inclusion across race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. We celebrate multiple approaches and diverse points of view.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

We use AI-enabled tools throughout our recruitment process to help us work more efficiently and consistently. These tools support our hiring teams by organizing and reviewing information, while final hiring decisions are always made by people.

Tucows and its subsidiaries participate in the E-verify program for all US employees.

Learn more about Tucows, our businesses, culture and employee benefits on our site here.

Wavelo is a SaaS business on a mission to make telecoms a breeze.

We provide flexible software that modernizes how communication service providers (CSPs) do business, helping them drive more value, focus on customer experience, and scale their operations faster.

As part of Tucows (NASDAQ:TCX, TSX:TC)—one of the world’s largest Internet services companies—Wavelo is backed by outstanding resources and talent. We embrace a people-first philosophy that is rooted in respect, trust, and flexibility. We believe that whatever works for our employees is what works best for us. It’s also why the majority of our roles are remote-first, meaning you can work from anywhere you can connect to the Internet!

The work we do genuinely changes lives. If this sounds exciting, we’d love to hear from you! 

About the Opportunity

We are seeking a self-motivated Principal Engineer - Platform Engineering with strong backend software development experience who enjoys solving complex problems, building scalable systems, and sharing knowledge across teams.

In this role, you will set technical direction and lead the design and development of high-impact backend services and systems that power Wavelo's products. You'll focus on building reliable, performant, and maintainable software, enabling teams to ship high-quality features efficiently at scale.

This role is ideal for someone who thrives in ambiguous problem spaces, can translate business needs into robust technical solutions, and consistently raises the bar for software design and engineering practices across teams.

You will collaborate closely with product, data, and infrastructure partners to design APIs, improve system architecture, and evolve our backend ecosystem. While you'll work alongside Infrastructure and DevOps teams, your primary focus will be on application-layer design, service reliability, and delivering customer-facing value through code.

This is a remote opportunity for applicants in Canada.

Job Duties

In the First Month

• Gain a deep understanding of the current platform landscape including infrastructure, platform services, and application layers.

• Identify key constraints that are slowing engineering delivery.

• Build context around the environment platform strategy, including declarative environments, generated artifacts, and self-service developer experiences.

• Identify current platform gaps such as manual steps or fragile integrations.

• Establish strong working relationships across Infrastructure/CI, Operations, Security, and product engineering teams.

• Begin shaping shared standards through design reviews and code reviews.

• Identify 1–2 high-leverage improvements (e.g., removing manual provisioning steps, improving reliability signals, tightening CI/CD contracts).

In the First 3 Months

• Contribute to and lead technical design and architecture discussions for foundational platform initiatives.

• Design and implement features that improve platform repeatability, reliability, and safety.

• Deliver solutions such as:

  • Dependency-ordered orchestration inputs

  • Self-service preview tooling

  • Standardized deployment interfaces

• Promote an “automate-first” mindset by reducing manual operational work and pushing reliability and quality earlier in the development lifecycle.

• Improve engineering quality through:

  • Strong code review culture

  • Clear technical standards

  • Practical documentation and runbooks that reduce tribal knowledge.

In the First Year

• Own multiple platform initiatives end-to-end, from concept through production outcomes.

• Balance delivery speed with sound architectural decisions and long-term maintainability.

• Set technical direction across teams within your domain.

• Deliver measurable improvements in:

  • Environment spin-up time

  • Deployment and rollback safety

  • Incident and operational toil reduction

  • Observability coverage

• Act as a mentor to senior and junior engineers, multiplying impact through coaching and technical leadership.

• Establish sustainable cross-team alignment mechanisms, including:

  • Clear platform contracts

  • Reference implementations

  • Architectural decision records.

Knowledge, Skills and Abilities

• Proven ability to lead and deliver complex, loosely scoped technical initiatives.

• Strong platform engineering mindset, including building reusable primitives, paved-road solutions, and automation frameworks that enable product teams.

• Experience designing and building reliable, scalable, and operationally sound software systems.

• Ability to influence without authority, driving alignment across teams through clarity, pragmatism, and shared standards.

• Strong automation-first mindset with a focus on measurable engineering outcomes such as:

  • DORA metrics

  • Toil reduction

  • Faster environment provisioning.

Qualifications Required

• 8+ years of professional software development experience or equivalent depth of technical ownership.

• Demonstrated experience leading platform, infrastructure, or developer-experience initiatives that improved reliability and/or delivery speed.

• Experience with modern software delivery practices.

​​The base salary range for this position is $164,500 to $192,800. Range shown in $CAD for Canadian residents. Other countries will differ. Range may vary on a number of factors including, but not limited to: location, experience and qualifications. Tucows believes in a total rewards offering that includes fair compensation and generous benefits

Want to know more about what we stand for? At Wavelo and Tucows we care about protecting the open Internet, narrowing the digital divide, and supporting fairness and equality.

We also know that diversity drives innovation. We are committed to inclusion across race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. We celebrate multiple approaches and diverse points of view.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

We use AI-enabled tools throughout our recruitment process to help us work more efficiently and consistently. These tools support our hiring teams by organizing and reviewing information, while final hiring decisions are always made by people.

Tucows and its subsidiaries participate in the E-verify program for all US employees.

Learn more about Tucows, our businesses, culture and employee benefits on our site here.

Wavelo is a SaaS business on a mission to make telecoms a breeze.

We provide flexible software that modernizes how communication service providers (CSPs) do business, helping them drive more value, focus on customer experience, and scale their operations faster.

As part of Tucows (NASDAQ:TCX, TSX:TC)—one of the world’s largest Internet services companies—Wavelo is backed by outstanding resources and talent. We embrace a people-first philosophy that is rooted in respect, trust, and flexibility. We believe that whatever works for our employees is what works best for us. It’s also why the majority of our roles are remote-first, meaning you can work from anywhere you can connect to the Internet!

The work we do genuinely changes lives. If this sounds exciting, we’d love to hear from you! 

About the Opportunity

We are seeking a self-motivated Principal Engineer - Platform Engineering with strong backend software development experience who enjoys solving complex problems, building scalable systems, and sharing knowledge across teams.

In this role, you will set technical direction and lead the design and development of high-impact backend services and systems that power Wavelo's products. You'll focus on building reliable, performant, and maintainable software, enabling teams to ship high-quality features efficiently at scale.

This role is ideal for someone who thrives in ambiguous problem spaces, can translate business needs into robust technical solutions, and consistently raises the bar for software design and engineering practices across teams.

You will collaborate closely with product, data, and infrastructure partners to design APIs, improve system architecture, and evolve our backend ecosystem. While you'll work alongside Infrastructure and DevOps teams, your primary focus will be on application-layer design, service reliability, and delivering customer-facing value through code.

This is a remote opportunity for applicants in Canada.

Job Duties

In the First Month

• Gain a deep understanding of the current platform landscape including infrastructure, platform services, and application layers.

• Identify key constraints that are slowing engineering delivery.

• Build context around the environment platform strategy, including declarative environments, generated artifacts, and self-service developer experiences.

• Identify current platform gaps such as manual steps or fragile integrations.

• Establish strong working relationships across Infrastructure/CI, Operations, Security, and product engineering teams.

• Begin shaping shared standards through design reviews and code reviews.

• Identify 1–2 high-leverage improvements (e.g., removing manual provisioning steps, improving reliability signals, tightening CI/CD contracts).

In the First 3 Months

• Contribute to and lead technical design and architecture discussions for foundational platform initiatives.

• Design and implement features that improve platform repeatability, reliability, and safety.

• Deliver solutions such as:

  • Dependency-ordered orchestration inputs

  • Self-service preview tooling

  • Standardized deployment interfaces

• Promote an “automate-first” mindset by reducing manual operational work and pushing reliability and quality earlier in the development lifecycle.

• Improve engineering quality through:

  • Strong code review culture

  • Clear technical standards

  • Practical documentation and runbooks that reduce tribal knowledge.

In the First Year

• Own multiple platform initiatives end-to-end, from concept through production outcomes.

• Balance delivery speed with sound architectural decisions and long-term maintainability.

• Set technical direction across teams within your domain.

• Deliver measurable improvements in:

  • Environment spin-up time

  • Deployment and rollback safety

  • Incident and operational toil reduction

  • Observability coverage

• Act as a mentor to senior and junior engineers, multiplying impact through coaching and technical leadership.

• Establish sustainable cross-team alignment mechanisms, including:

  • Clear platform contracts

  • Reference implementations

  • Architectural decision records.

Knowledge, Skills and Abilities

• Proven ability to lead and deliver complex, loosely scoped technical initiatives.

• Strong platform engineering mindset, including building reusable primitives, paved-road solutions, and automation frameworks that enable product teams.

• Experience designing and building reliable, scalable, and operationally sound software systems.

• Ability to influence without authority, driving alignment across teams through clarity, pragmatism, and shared standards.

• Strong automation-first mindset with a focus on measurable engineering outcomes such as:

  • DORA metrics

  • Toil reduction

  • Faster environment provisioning.

Qualifications Required

• 8+ years of professional software development experience or equivalent depth of technical ownership.

• Demonstrated experience leading platform, infrastructure, or developer-experience initiatives that improved reliability and/or delivery speed.

• Experience with modern software delivery practices.

​​The base salary range for this position is $164,500 to $192,800. Range shown in $CAD for Canadian residents. Other countries will differ. Range may vary on a number of factors including, but not limited to: location, experience and qualifications. Tucows believes in a total rewards offering that includes fair compensation and generous benefits

Want to know more about what we stand for? At Wavelo and Tucows we care about protecting the open Internet, narrowing the digital divide, and supporting fairness and equality.

We also know that diversity drives innovation. We are committed to inclusion across race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status. We celebrate multiple approaches and diverse points of view.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

We use AI-enabled tools throughout our recruitment process to help us work more efficiently and consistently. These tools support our hiring teams by organizing and reviewing information, while final hiring decisions are always made by people.

Tucows and its subsidiaries participate in the E-verify program for all US employees.

Learn more about Tucows, our businesses, culture and employee benefits on our site here.

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.

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 the Team:

Our diverse Product & Engineering team values innovation, collaboration, and the continuous improvement of our platform. We offer a dynamic work environment where employees can grow and thrive while working on cutting-edge technology that shapes the future of AI and search.

At AlphaSense, we believe that diverse experiences and perspectives are critical to our success. We are committed to creating an inclusive workplace where all employees feel valued and empowered to be their authentic selves.

About the Role: 

We are seeking a Principal Engineer to lead the design, evolution, and reliability of our global financial data extraction and normalization platform. This system ingests filings across formats (HTML, PDF, APIs, spreadsheets), extracts and standardizes financial data using a combination of AI and deterministic systems, and delivers trusted, traceable outputs at scale to downstream financial services teams and customers.

This role owns the self-sourcing and extraction foundation used by multiple teams across the organization. Today, human validation is used as a safety net. Your mission is to systematically reduce human dependency by increasing system correctness, confidence, and trust, without sacrificing speed or scalability.

You will operate at the intersection of distributed systems, AI-driven extraction, data quality, and platform architecture, raising the technical bar and reshaping how we build reliable systems.

Who You Are:

• 15+ years of experience building and operating large-scale production systems
• Proven experience designing data ingestion, extraction, or processing systems at scale
• Deep expertise in one or more of:
  • Distributed systems
  • Data platforms and pipelines
  • AI/ML-powered extraction or classification systems
  • Platform or infrastructure engineering
• Demonstrated ability to design trustworthy systems that combine probabilistic (AI) and deterministic approaches
• Strong understanding of system reliability, observability, failure modes, and iterative hardening
• Experience reducing operational or human overhead through better system design
• Track record of technical leadership across teams without formal people management
• Comfortable operating in ambiguity and driving clarity where none exists
• Passion for using AI responsibly and effectively to deliver scalable, high-confidence systems
• Nice to Have
  • Experience with document understanding, NLP, or financial data extraction
  • Experience building provenance, lineage, or confidence-scoring systems
  • Familiarity with cloud-native architectures and modern data stacks
  • Experience shaping or owning internal platforms used by multiple teams

What You’ll Do: 

• Own the architecture and evolution of our large-scale data extraction and normalization platform
• Design systems that process hundreds of thousands of records across heterogeneous sources (PDF, HTML, APIs, XLS) with high reliability
• Define and implement strategies to minimize human-in-the-loop validation through AI-based validation, confidence scoring, provenance tracking, and deterministic safeguards
• Establish clear system contracts for correctness, traceability, and confidence (e.g., “where did this number come from?”)
• Balance AI-driven approaches with procedural and rules-based systems where they improve reliability and explainabilityIdentify and remediate architectural and operational bottlenecks impacting scale, accuracy, and developer velocity
• Act as the technical authority to block poor designs, redesign critical systems, and introduce new platforms or tooling when necessary
• Partner with product and downstream consumers to define quality bars, SLAs, and success metrics
• Serve as a technical escalation point for production issues, reliability failures, and systemic risks
• Mentor senior engineers, shape technical culture, and raise expectations for system design and execution
• Contribute to long-term technical strategy while remaining hands-on with critical implementations

What Is The Role:

As part of the Platform Engineering department, the Traffic team is crafting, building, and improving the multi-cloud platform at scale for Elastic Cloud Hosted and Serverless. We grow and mature our distributed network services and solutions for multiple cloud service provider platforms. We are built on Kubernetes, Go/Scala, and custom orchestration architectures. In your daily life with us, you will participate in coding, innovating technical designs, crafting solutions, improving resilience, and prioritizing security, bug fixes, and features. For example, Debugging Azure Networking for Elastic Cloud Serverless is part of our efforts, and we want your experience to contribute to a truly exceptional customer experience!

What You Will Be Doing:

• Taking an engineering approach in leading technical initiatives for automating network engineering efforts to guarantee the reliability of the global Elastic infrastructure. .
• Growing our global Platform infrastructure to meet the increasing scaling demands by developing and maintaining software, codebases, tooling and automations.
• Collaborating in an environment with an inclusive approach, and focusing on operational perfection which uplifts others.
• Preventing repeated customer impact in response to major incidents and prioritised problem management. Our on call rotation is spread well, and we address complex customer concerns too.

What You Bring:

• 10+ years in Software Engineering with product success in delivering Cloud network solutions. You collaborate with engineers as an authority in identifying, implementing and delivering solutions. Experience in public cloud, Go and managed Kubernetes services is advantageous.
• Success and lessons of experiences from striving for 'progress not perfection' in the name of Platform reliability. We want to hear about your customer first approach in solving operational problems for both today and the future.
• Passion for developing solutions that involve inclusive communication methods to grow and strengthen partner and team relationships. Examples of working in distributed teams or working remotely is desirable.

Bonus Points:

You don't need to have all of these items, but these represent the types of work you will do as a Software Engineer at Elastic.

• You have designed and built a SaaS product in a public cloud ideally built using Infrastructure-as-Code tooling such as Crossplane or Terraform
• You have built Kubernetes-at-scale infrastructure, ideally across multiple cloud providers, and the vital automation to support it.
• You have written product features or functions in Golang or other programming languages.
• You have worked with containerized services (such as Docker.)
• You have proven results in leading and improving cross-team engineering initiatives.
• You have experience in system administration with professional skills in Linux on distributed systems at scale.
• You have diagnosed or designed, implemented and created solutions with the Elastic Stack.
• You are experienced in a self-organizing and sharing in a globally distributed team environment.
• You strengthen team members in bringing out the best of each other by uplifting others with coaching and mentoring.

What Is The Role:

As part of the Platform Engineering department, the Traffic team is crafting, building, and improving the multi-cloud platform at scale for Elastic Cloud Hosted and Serverless. We grow and mature our distributed network services and solutions for multiple cloud service provider platforms. We are built on Kubernetes, Go/Scala, and custom orchestration architectures. In your daily life with us, you will participate in coding, innovating technical designs, crafting solutions, improving resilience, and prioritizing security, bug fixes, and features. For example, Debugging Azure Networking for Elastic Cloud Serverless is part of our efforts, and we want your experience to contribute to a truly exceptional customer experience!

What You Will Be Doing:

• Taking an engineering approach in leading technical initiatives for automating network engineering efforts to guarantee the reliability of the global Elastic infrastructure. .
• Growing our global Platform infrastructure to meet the increasing scaling demands by developing and maintaining software, codebases, tooling and automations.
• Collaborating in an environment with an inclusive approach, and focusing on operational perfection which uplifts others.
• Preventing repeated customer impact in response to major incidents and prioritised problem management. Our on call rotation is spread well, and we address complex customer concerns too.

What You Bring:

• 10+ years in Software Engineering with product success in delivering Cloud network solutions. You collaborate with engineers as an authority in identifying, implementing and delivering solutions. Experience in public cloud, Go and managed Kubernetes services is advantageous.
• Success and lessons of experiences from striving for 'progress not perfection' in the name of Platform reliability. We want to hear about your customer first approach in solving operational problems for both today and the future.
• Passion for developing solutions that involve inclusive communication methods to grow and strengthen partner and team relationships. Examples of working in distributed teams or working remotely is desirable.

Bonus Points:

You don't need to have all of these items, but these represent the types of work you will do as a Software Engineer at Elastic.

• You have designed and built a SaaS product in a public cloud ideally built using Infrastructure-as-Code tooling such as Crossplane or Terraform
• You have built Kubernetes-at-scale infrastructure, ideally across multiple cloud providers, and the vital automation to support it.
• You have written product features or functions in Golang or other programming languages.
• You have worked with containerized services (such as Docker.)
• You have proven results in leading and improving cross-team engineering initiatives.
• You have experience in system administration with professional skills in Linux on distributed systems at scale.
• You have diagnosed or designed, implemented and created solutions with the Elastic Stack.
• You are experienced in a self-organizing and sharing in a globally distributed team environment.
• You strengthen team members in bringing out the best of each other by uplifting others with coaching and mentoring.

What is The Role

Our Marketing organization is building an AI-powered intelligence system to drive strategy, insights, and revenue. We are looking for a Principal Analytics Engineer to lead the design and build of this foundation. This role is about more than just writing code—it’s about creating the semantic blueprint for how Elastic understands and interacts with its business data.

You will synthesize complex data streams into a unified, high-fidelity system that serves as the "source of truth" for the entire customer journey. By engineering a structured knowledge layer, you will enable Elastic to scale Go-To-Market (GTM) efforts in a world where data must be optimized for human reporting, predictive science, and conversational AI alike.

What You Will Be Doing

• Architect the Foundation: Design and build the core BigQuery and dbt infrastructure that powers Elastic’s marketing intelligence, transforming raw signals into high-fidelity, agent-ready data products.
• Enable AI & Agents: Develop the semantic layer and structured knowledge base that allows AI agents to accurately "talk" to our business data and reason through complex performance questions.
• Map the Journey: Integrate disparate signals across digital, product, and sales into a unified lifecycle model that tracks the customer’s path from discovery to revenue.
• Scale through Partnerships: Partner with Enterprise, Product, Sales, and Finance teams to align on shared metrics while mentoring other engineers to uphold high standards for our data foundation.

What You Bring

• Data-as-a-Product: You treat data as a high-value product. You are dedicated to the user experience of data—ensuring it is discoverable and reliable for both human teammates and AI agents.
• Technical Proficiency: Deep experience with BigQuery, dbt, and semantic layers (e.g., dbt Semantic Layer, Vortex AI). You have a proven ability to apply automation or LLM-assisted workflows to the data modeling lifecycle.
• Architectural Design: Ability to build complex, interconnected systems by starting with the desired outcome and working backward. You enjoy creating extensible frameworks that empower others to innovate.
• Systems & Design Thinking: The ability to look at a complex web of data and see the underlying architecture required to make it simple and extensible.
• Collaborative Communication: A track record of "translating" technical debt into business value and coaching peers through complex architectural hurdles.
• Operational Excellence & Governance: You treat data as infrastructure. You have deep experience implementing data contracts, automated quality monitoring (DQM), and governance frameworks that ensure metrics remain consistent, secure, and reliable across the enterprise.

Bonus Points

• GTM Fluency: A strong understanding of Go-To-Market mechanics—knowing how technical data structures translate into business-critical concepts like customer acquisition, attribution, and revenue.
• Marketing Science Foundations: Familiarity with Marketing Mix Modeling (MMM), causality, or incrementality analysis to help the business understand the true ROI of different channels.
• Privacy & Ethics: Understanding of GDPR/CCPA compliance and how to manage data privacy and consent within a marketing stack, especially when training AI models.
• Identity Resolution: Proven experience with Identity Stitching or Customer 360 frameworks to unify anonymous digital signals with known customer records.
• AI Production Scaling: Experience moving AI models or agentic workflows from experimental pilots into standardized, production-level deployments.

#LI-JM5

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.

If you’re looking to be one of the first engineers at an early stage, rapidly growing startup, let’s chat!

Canopy Connect is building the infrastructure that powers best-in-class insurance experiences. We empower consumers to gain value and convenience from their own data, and we enable businesses to securely and quickly support their customers.

We are a product-oriented, distributed engineering team seeking exceptional engineers to drive our mission forward.

As a Principal/Sr Staff Engineer, you will work closely with our VP Engineering to work through our toughest engineering problems. 

You have:

• Deep knowledge of typescript, postgres and AWS
• A willingness to roll up your sleeves to deliver products
• Proven experience at scale

We are hiring in the United States and Canada to work fully remotely. We are unfortunately unable to sponsor visas.

The salary range for this role is $190-220k, and could increase beyond that commensurate with experience.

About the Team:

Our diverse Product & Engineering team values innovation, collaboration, and the continuous improvement of our platform. We offer a dynamic work environment where employees can grow and thrive while working on cutting-edge technology that shapes the future of AI and search.

At AlphaSense, we believe that diverse experiences and perspectives are critical to our success. We are committed to creating an inclusive workplace where all employees feel valued and empowered to be their authentic selves.

About the Role: 

At AlphaSense, GenSearch is a production, customer-facing generative AI system delivering high-confidence answers across multiple domains. Our team owns the financial data agent within GenSearch — connecting AI reasoning to structured financial datasets — as well as the financial data web experiences that power fundamentals, M&A, screening, and other core capabilities.

We are hiring a hands-on Principal Engineer to help us:

• Reduce latency in AI-powered financial answers
• Simplify fragmented and legacy-heavy architecture
• Improve cross-dataset querying and screening
• Ship new datasets and product capabilities without increasing systemic complexity

This role sits at the intersection of AI systems, financial data infrastructure, and product-grade web development.

Who You Are:

• 12+ years building and operating production systems
• Experience operating at a Staff or Principal level
• Proven ability to simplify complex systems and reduce architectural entropy
• Strong background in distributed systems and performance optimization
• Experience building AI-integrated systems (LLM orchestration, tool usage, retrieval, evaluation)
• Comfortable working across backend systems and modern frontend frameworks (e.g., React)
• Experienced designing APIs and durable service contracts
• Effective at driving cross-team technical initiatives

What You’ll Do:

Improve AI & Performance

• Optimize orchestration between LLM workflows, structured datasets, and services
• Introduce performance benchmarks, observability standards, and SLO discipline
• Improve reliability and correctness of AI-backed financial responses

Simplify Architecture

• Reduce fragmentation across datasets and services
• Partner with data platform teams to define scalable dataset integration patterns
• Remove legacy complexity while continuing to ship

Build & Evolve Web Products

• Contribute directly to backend and frontend systems powering financial data experiences
• Define durable contracts between AI-generated outputs and frontend consumers
• Ensure performance and usability at both API and product layers

Lead Across Teams

• Drive technical initiatives spanning multiple engineering teams
• Align stakeholders on service boundaries and system design decisions
• Raise the bar for system design, reliability, and operational rigor

About the Team:

Our diverse Product & Engineering team values innovation, collaboration, and the continuous improvement of our platform. We offer a dynamic work environment where employees can grow and thrive while working on cutting-edge technology that shapes the future of AI and search.

At AlphaSense, we believe that diverse experiences and perspectives are critical to our success. We are committed to creating an inclusive workplace where all employees feel valued and empowered to be their authentic selves.

About the Role: 

We are seeking a Principal Engineer to lead the design, evolution, and reliability of our global financial data extraction and normalization platform. This system ingests filings across formats (HTML, PDF, APIs, spreadsheets), extracts and standardizes financial data using a combination of AI and deterministic systems, and delivers trusted, traceable outputs at scale to downstream financial services teams and customers.

This role owns the self-sourcing and extraction foundation used by multiple teams across the organization. Today, human validation is used as a safety net. Your mission is to systematically reduce human dependency by increasing system correctness, confidence, and trust, without sacrificing speed or scalability.

You will operate at the intersection of distributed systems, AI-driven extraction, data quality, and platform architecture, raising the technical bar and reshaping how we build reliable systems.

Who You Are:

• 15+ years of experience building and operating large-scale production systems
• Proven experience designing data ingestion, extraction, or processing systems at scale
• Deep expertise in one or more of:
  • Distributed systems
  • Data platforms and pipelines
  • AI/ML-powered extraction or classification systems
  • Platform or infrastructure engineering
• Demonstrated ability to design trustworthy systems that combine probabilistic (AI) and deterministic approaches
• Strong understanding of system reliability, observability, failure modes, and iterative hardening
• Experience reducing operational or human overhead through better system design
• Track record of technical leadership across teams without formal people management
• Comfortable operating in ambiguity and driving clarity where none exists
• Passion for using AI responsibly and effectively to deliver scalable, high-confidence systems
• Nice to Have
  • Experience with document understanding, NLP, or financial data extraction
  • Experience building provenance, lineage, or confidence-scoring systems
  • Familiarity with cloud-native architectures and modern data stacks
  • Experience shaping or owning internal platforms used by multiple teams

What You’ll Do: 

• Own the architecture and evolution of our large-scale data extraction and normalization platform
• Design systems that process hundreds of thousands of records across heterogeneous sources (PDF, HTML, APIs, XLS) with high reliability
• Define and implement strategies to minimize human-in-the-loop validation through AI-based validation, confidence scoring, provenance tracking, and deterministic safeguards
• Establish clear system contracts for correctness, traceability, and confidence (e.g., “where did this number come from?”)
• Balance AI-driven approaches with procedural and rules-based systems where they improve reliability and explainabilityIdentify and remediate architectural and operational bottlenecks impacting scale, accuracy, and developer velocity
• Act as the technical authority to block poor designs, redesign critical systems, and introduce new platforms or tooling when necessary
• Partner with product and downstream consumers to define quality bars, SLAs, and success metrics
• Serve as a technical escalation point for production issues, reliability failures, and systemic risks
• Mentor senior engineers, shape technical culture, and raise expectations for system design and execution
• Contribute to long-term technical strategy while remaining hands-on with critical implementations

< REMOTE - US and Canada > 

THE OPPORTUNITY

Stability AI is defining what's possible at the intersection of generative AI and human creativity. Our models — across image, video, audio, and language — are among the most widely deployed AI systems in the world, used by individual creators and Fortune 500 enterprises alike. As we scale our enterprise go-to-market, we're building the solution consulting function from the ground up.

As a Principal Solution Consultant, you sit at the center of our most consequential customer relationships. You'll translate the raw capabilities of our models and inference pipelines into transformational business outcomes — leading discovery, architecting solutions, and building executive-level conviction. This is a founding role with real influence over how the function is built and how Stability AI shows up in the market.

This is not a role for feature demonstrators. You'll be expected to understand customers' creative, technical, and marketing ecosystems deeply enough to design solutions that didn't exist before you walked in the room — and to make them real, quickly.

WHAT YOU'LL DO

• Own the pre-sales technical narrative for strategic enterprise accounts, from initial discovery through proof-of-concept, technical validation, and deal close
• Lead consultative engagements with prospective customers — uncovering creative, operational, and infrastructure challenges where generative AI creates the highest leverage
• Rapidly prototype and deliver functional demonstrations of Stability AI's model portfolio (Stable Diffusion, Stable Video Diffusion, Stable Audio, Stable LM, and our API/platform offerings) using modern tooling, containerization, and generative AI development environments — tailored to audiences from creative directors to C-suite executives
• Design and articulate integration architectures that connect Stability AI capabilities to customers' existing enterprise stacks — including martech platforms, content management and production systems, cloud infrastructure, and data layers
• Partner closely with applied research and ML engineering teams to design highly performant AI-driven creative and marketing workflows for enterprise customers, translating technical capabilities into scalable, production-ready solutions
• Program-manage cross-functional pre-sales efforts on complex, multi-stakeholder deals — aligning product, research, and partnerships around a unified value narrative
• Stay current on the generative AI landscape, competitive developments, and emerging enterprise use cases across media & entertainment, advertising, gaming, fashion, and enterprise content production
• Build the practice: develop reusable demo assets, industry-specific playbooks, and solution frameworks that raise the ceiling for the entire go-to-market team
• Advise sales leadership and account executives on deal strategy, solution positioning, and differentiation

WHAT YOU NEED TO SUCCEED

• 7+ years in technical pre-sales, solution consulting, or enterprise architecture roles, with a demonstrated track record on complex, multi-stakeholder deals
• 3+ years supporting AI & ML products and services 
• Ability to rapidly build functional demonstrations and proofs-of-concept using modern tooling — including AI-assisted development environments (Lovable, v0, Cursor), containerization (Docker/Kubernetes), and generative AI APIs — without requiring a full engineering team to do it
• Hands-on experience with extensibility frameworks, APIs, and SDKs to design and demonstrate deep integrations between platforms — and the ability to clearly articulate those patterns to both technical and business audiences
• Demonstrated experience partnering with applied research and ML engineering teams to design and deliver AI-driven creative and marketing workflows at enterprise scale
• Broad fluency across the martech stack — including analytics, campaign management, audience management, content management, and content production platforms — and how they connect into end-to-end enterprise content supply chains
• Experience designing solutions across major cloud platforms (AWS, Azure, GCP) and working knowledge of data layer technologies, including relational, document, graph, and distributed data stores
• A track record driving large-scale digital transformation programs, with the ability to frame generative AI not as a feature but as a strategic platform shift
• Exceptional ability to bridge technical depth with executive business storytelling — equally fluent in a systems design conversation with engineers and a strategy discussion with a CMO or CTO
• Familiarity with the competitive landscape — Midjourney, OpenAI/DALL-E, Firefly, Google DeepMind, Runway, ElevenLabs, and the broader generative AI ecosystem — sufficient to position Stability AI's open, enterprise-grade approach with confidence

NICE TO HAVE

• Direct experience with Stability AI's model ecosystem or diffusion model tooling (ComfyUI, A1111, DreamBooth, LoRA, ControlNet)
• Industry background in CPG, retail, automotive, creative & advertising agencies, regulatory industries, and enterprise brand content
• Familiarity with enterprise AI governance, compliance, and responsible AI frameworks — particularly as they apply to generative content at scale
• Experience operating in a high-growth startup environment — comfortable building practice infrastructure while simultaneously running strategic deals

Compensation

The salary range for both roles is $155,000-$205,000 USD. Individual pay within the range is based on factors like job-related skills and experience. Total compensation also includes stock options and benefits.

Equal Employment Opportunity:

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses. 

Who are we?

NovoEd is an enterprise learning platform that helps organizations build critical capabilities at scale through collaborative and experiential learning. Founded in 2012 out of Stanford’s Social Algorithm Laboratory, NovoEd has grown into a trusted partner for many of the world’s leading companies, executive education providers, and training organizations.

Today, NovoEd powers a modern learning ecosystem built around three core experiences: Learning, Mentoring, and Practicing. Our platform enables organizations to deliver cohort-based learning, structured mentorship, and real-world skill application in a single integrated environment—helping employees move beyond passive learning to actively develop and apply new skills.

AI is now a core part of the NovoEd platform. AI helps course creators generate and structure learning content more efficiently, provides learners with personalized insights and feedback, and supports interactive learning experiences such as guided practice, coaching, and role-playing scenarios. These capabilities help organizations scale high-quality learning experiences while maintaining engagement and practical skill development.

By combining collaborative learning design, AI-powered capabilities, and enterprise-grade technology, NovoEd connects global learners, mentors, and leaders in high-impact programs that drive measurable business outcomes. Organizations rely on NovoEd to develop leadership capabilities, accelerate transformation initiatives, and build the skills their workforce needs to succeed in a rapidly evolving world.

Overview

We are seeking a Principal Backend Engineer with deep expertise in backend systems and a strong track record of architecting scalable, reliable platforms. This role is responsible for shaping the technical direction of our backend architecture and helping guide the long-term evolution of our systems as the product and organization grow. In addition to defining architecture, the Principal Engineer owns platform-level outcomes, ensuring that backend systems deliver strong performance, reliability, and scalability that directly support business and product goals.

As a Principal Engineer, you will combine hands-on technical leadership with strategic architectural thinking. You will partner closely with engineering leadership, product teams, and cross-functional stakeholders to design solutions that balance scalability, reliability, and development velocity. In addition to leading complex technical initiatives, you will mentor engineers, influence engineering standards, and help raise the technical bar across the organization. You will also identify and address systemic technical debt that impacts platform performance, reliability, and developer productivity, and drive initiatives that improve the organization’s ability to ship high-quality features faster.

You will also help advance modern engineering practices across the team, including the effective use of AI-assisted development tools and automation to improve developer productivity while maintaining rigorous standards for system design, code quality, and operational reliability.

Key Responsibilities

Architect and Build Scalable Systems

• Design and implement scalable, secure, and maintainable backend systems primarily using Ruby on Rails. Lead the architecture and development of backend services with a strong focus on performance, reliability, and long-term maintainability. Contribute to both new feature development and modernization of legacy systems.
• Use modern development workflows—including AI-assisted coding tools and coding agents—to accelerate development while maintaining rigorous engineering standards. Evaluate and validate AI-generated code to ensure correctness, security, and architectural consistency.

System Integrations & API Development

• Lead the design and development of APIs (REST, GraphQL) that enable reliable communication between internal services and external platforms. Integrate third-party services while ensuring performance, security, and data integrity.
• Collaborate closely with frontend teams to ensure clean service boundaries and consistent system behavior. Use modern tooling and AI-assisted workflows to improve API development, testing, and documentation.

Database Design & Optimization

• Design and optimize relational databases to support high-performance and scalable applications. Ensure schemas, queries, and indexing strategies support complex workloads and evolving product needs.
• Identify and resolve performance bottlenecks using observability tools and modern diagnostics, including AI-assisted analysis when appropriate.

Platform Performance & Engineering Productivity

• Own initiatives that improve platform performance, reliability, and overall engineering productivity. Identify systemic technical debt, architectural constraints, or operational inefficiencies that slow development or impact customer experience, and lead cross-team efforts to address them. Drive improvements to platform capabilities, developer tooling, and system architecture that enable teams to ship high-quality software more efficiently as the platform scales.

Technical Debt Management & Feature Development

• Drive the strategic identification and prioritization of technical debt across the platform. Identify systemic architectural constraints, legacy patterns, or platform-level inefficiencies that impact scalability, development velocity, or customer experience. Partner with engineering leadership and product teams to prioritize remediation efforts based on technical risk and business impact.
• Lead initiatives that modernize critical parts of the system while enabling continued product development. Ensure the platform evolves in a sustainable way by balancing long-term architectural improvements with near-term feature delivery. Provide clear technical direction that helps teams address foundational issues without disrupting product momentum.

Cross-functional Collaboration

• Partner with product managers, frontend engineers, and DevOps teams to align backend systems with product and business goals. Contribute to both technical and product discussions, ensuring backend considerations are represented in decision making.
• Act as a technical leader who helps teams adopt modern development practices, including responsible and effective use of AI-assisted engineering tools.

Process Improvement & Engineering Excellence

• Drive engineering improvements that increase developer productivity and accelerate the delivery of reliable, high-quality features. Identify systemic bottlenecks in development workflows, infrastructure, or platform architecture that slow down teams, and lead initiatives to address them.
• Focus on improving overall engineering effectiveness by evolving development practices, tooling, and platform capabilities that enable teams to move faster while maintaining strong reliability and code quality. This may include advancing CI/CD systems, strengthening observability and testing strategies, and improving internal tooling and developer workflows.
• As a Principal Engineer, you will take a broad view of how engineering systems and processes interact—ensuring that platform architecture, development tooling, and operational practices work together to support feature velocity, platform stability, and long-term maintainability.

Problem Solving & Troubleshooting

• Serve as a technical leader in identifying and addressing complex issues that impact the reliability, performance, and scalability of the platform. Rather than focusing solely on reactive debugging, analyze production incidents and operational patterns to uncover systemic problems affecting the system.
• Lead efforts to implement durable architectural improvements that prevent recurring issues, strengthen platform resilience, and improve observability across services. Partner with engineering and infrastructure teams to proactively identify risks, improve operational practices, and ensure the platform remains reliable as it scales.

AI-Native Engineering Culture

Our engineering team embraces AI as a productivity multiplier while maintaining strong engineering fundamentals. Principal engineers play a key role in shaping how AI is used responsibly and effectively across the organization.

In this role, you will:

• Integrate AI-assisted development tools into daily workflows (code generation, debugging, refactoring, documentation, and testing).
  
  
• Demonstrate strong judgment when evaluating AI-generated code and system designs.
  
  
• Help define best practices for the use of coding agents and AI tooling within the engineering organization.
  
  
• Mentor teammates on how to use AI tools effectively while maintaining high engineering standards.
  
  

Identify opportunities where automation or AI can meaningfully improve developer productivity and system quality.

Required Qualifications

• 12+ years of software development experience with a strong foundation in backend development, including building and maintaining scalable systems.
• 4+ years of hands-on experience with Ruby on Rails in production environments.
• Experience with Sidekiq for background job processing and Redis for caching and queuing systems.
• Proven experience in database design and optimization, particularly with SQL and PostgreSQL.
• Experience developing APIs (REST or GraphQL) and integrating with third-party systems or services.
• Proficiency with Docker for containerization and familiarity with AWS infrastructure for deployment and scaling.
• Experience managing technical debt while continuing to deliver new features.
• Familiarity with CI/CD pipelines, automated testing strategies, and backend development best practices.
• Strong understanding of system architecture, infrastructure, and deployment strategies using Docker and AWS.
• Must have Computer Science or Engineering degree
• Demonstrated fluency with modern AI-assisted development workflows, including coding assistants or autonomous coding agents.
• Experience incorporating AI-enabled tools into daily engineering workflows while critically evaluating their outputs.

Soft Skills

• Strong problem-solving skills and ability to diagnose complex backend issues and performance bottlenecks.
• Ability to collaborate effectively with cross-functional teams and communicate technical concepts clearly.
• Self-motivated with strong ownership of backend systems and technical outcomes.
• High attention to detail and commitment to delivering maintainable, high-quality solutions.
• Ability to influence engineering practices and promote responsible adoption of modern development tools, including AI.

Bonus Skills

• Experience designing and evolving large-scale distributed systems or platform architectures.
  
  
• Strong understanding of modern frontend ecosystems (e.g., React or Angular) and how they integrate with backend services and APIs.
  
  
• Experience with DevOps practices, infrastructure automation, and improving reliability, observability, and deployment workflows.
  
  
• Demonstrated ability to influence technical direction, mentor engineers, and raise engineering standards across teams.
  
  
• Experience building or improving developer platforms, internal tooling, or engineering productivity systems.
  
  
• Familiarity with AI-assisted development tools, coding agents, or automation frameworks, and an interest in advancing how engineering teams leverage modern development tooling.
  
  
• Experience working in high-scale SaaS environments serving enterprise customers.

Why Join Us?

At NovoEd, you will help shape the technology behind a platform used by some of the world’s leading organizations to develop talent and drive meaningful business outcomes. Our team is passionate about building products that make learning more collaborative, practical, and impactful.

As part of our engineering team, you’ll work on complex technical challenges across a platform that supports global programs, large-scale collaboration, and increasingly AI-powered learning experiences. You’ll collaborate with thoughtful teammates, contribute to systems that power real-world learning and development, and have the opportunity to influence the evolution of a growing multi-product platform spanning Learning, Mentoring, and Practicing.

We value curiosity, craftsmanship, and a culture of continuous improvement. Engineers at NovoEd are encouraged to explore new ideas, adopt modern tools and practices, and build solutions that deliver long-term value for our customers.

If you’re excited about building meaningful software, working with talented colleagues, and helping organizations develop the skills needed for the future of work, we’d love to hear from you.

NovoEd is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants. Employment decisions are made without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all aspects of employment, including recruiting.

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