Your role
As a Sr. Software Engineer on the Tel Core team, you are the steward of our media engine’s evolution. You will bridge the gap between high-level product goals and technical execution, ensuring our telephony stack remains resilient as we scale. You’ll mentor peers and shape the long-term roadmap while fostering a culture of engineering excellence. Your success is defined by the seamless, high-quality audio experience of millions of users.

This position reports to an Engineering Manager in the Telephony Core team and has the opportunity to be based in either Vancouver or Kitchener, Canada locations 

We don’t mind if you come from a different engineering background or haven’t worked in real-time media before. Just be excited to learn, to contribute to the team, and to build a fast, reliable, elegant product that delights our customers.

What you’ll do

• Maintain and modernize the real-time services that run on the Telephony Engines. Architect backend libraries and APIs to integrate with the broader Telephony Platform.
• Build and optimize low-latency media pipelines for voice and video—tuning codecs, RTP flows, and congestion-control behavior to deliver consistently clear conversations over unreliable networks.
• Investigate and resolve complex production issues across PSTN, WebRTC, and carrier boundaries using Telephony Engine logs, PCAPs, observability tools, and data-driven experimentation.
• Run load, failover, and regression tests on Telephony Engines and backend services to validate scalability, resilience, and capacity limits
• Partner with Tel Cloud, Tel Edge, Calling, and AI teams to design end-to-end call flows and integrations
• Participate in on-call and release rotations, owning Terraform- and GKE-backed rollouts, monitoring health, and driving follow-ups that continuously make the platform safer and easier to operate.
• Shape the Tel Core roadmap by turning broad epics into clear designs and mentoring other engineers.

Skills you’ll bring 

• Bachelor's degree in Computer Science or equivalent practical experience.
• 5+ years of software engineering experience, including owning substantial production backend systems in a SaaS or real‑time communications environment.
• Demonstrated proficiency in coding with AI agents to accelerate development and improve code quality.
• Deep expertise in C/C++ and Python.
• Experience with (or strong interest in learning) SIP, WebRTC, RTP/RTCP, DTLS/SRTP, and media codec negotiation in a production setting.
• Experience troubleshooting and improving real‑time media quality (e.g., jitter, packet loss, choppy audio, codec issues) is a strong plus.
• Comfortable working on KTLO (bugs, refactors, upgrades) as well as strategic roadmap items, and using data to prioritize impact.
• A deep understanding of reliability engineering, including the ability to build observability into services, eliminate performance bottlenecks, and manage the lifecycle of safe software releases.
• A strong sense of urgency, personal agency, and customer empathy.
• Passion for data driven decisions, building resilient systems, and solving classes of problems.

Our tech stack

• C, C++, Python, Go, Lua.
• Kubernetes, Redis, ElasticSearch, BigQuery.
• Google Cloud Platform: Cloud Run, GKE, Datastore, Pub/Sub.

Your Role
As a Sr. Software Engineer in Tel Cloud, you will own the components that power our global communications systems. You will work on features like call routing, SMS/MMS messaging, spam detection, fraud detection, fleet deployments, porting, and number management, ensuring our platform remains scalable, reliable, and trustworthy.

This position reports to an Engineering Manager in the Telephony Platform team.

We don’t mind if you come from a different engineering background or haven’t worked in communications before. Just be excited to learn, contribute to the team, and build a fast, reliable, elegant product that delights our customers.

What you’ll do

• Design data models for heavy concurrency and real-time performance, ensuring sub-second latency for global call routing.
• Test and tune service scaling to ensure we always have capacity available to service our customers’ real-time communications.
• Build monitors and alerts to maintain high reliability and observability.
• Participate in releases and on-call rotations, driving operational excellence for the team's platform components.
• Design, write, and deploy features used by Dialpad engineering teams to communicate with carriers and third-party communication services.
• Strategize and drive the roadmap for cross-team platform initiatives.
• Serve as a champion, coach, and mentor to more junior engineers, promoting a culture of ownership and craftsmanship.

Skills you’ll bring  

• Bachelor's degree in Computer Science or equivalent practical experience.
• 5+ years of SaaS professional experience maintaining large-scale production backend systems.
• Demonstrated proficiency in coding with AI agents to accelerate development and improve code quality.
• Deep expertise in Python/Java/C and at least one cloud-native architecture (e.g., GCP).
• Familiarity with async and MapReduce design patterns, as well as NoSQL databases, distributed caches, and large-scale data lakes.
• Experience in profiling and optimizing backend code for low-latency requirements (p50/p90 metrics).
• A strong sense of urgency, personal agency, and customer empathy.
• Passion for data-driven decisions, building resilient systems, and solving classes of problems.

Our tech stack

• Backend: Python, Google Cloud Platform, Cloud Run / k8s, Datastore, Redis, ElasticSearch, BigQuery, Google Cloud Pub/Sub.
• Frontend: Angular / Bootstrap.

Your role
As a Sr. SDET in Agentic QA, you will own the test automation and quality frameworks that support Dialpad’s AI Voice Agent services. You will develop automated tests for end-to-end product experiences, from frontend UI to backend services to APIs to audio/text interactions. You will test orchestration flows, agent configuration experiences, and guardian safeguards to create robust automated coverage for functionality, performance, reliability, UX, and more. 

In this role, you will develop substantial amounts of automated test infrastructure and partner deeply with the development team to make our fast-growing AI platform more testable, more stable, and more delightful for customers.

This position is based at one of Dialpad’s Canadian offices and reports to a QA Eng Manager in the United States.

What you’ll do

• Own end-to-end quality for agentic features and workflows, including strategy, development, execution, and release qualification.
• Design and build automation tooling and frameworks for AI/LLM-driven systems, including prompt flows, agent orchestration, and tool integrations.
• Develop and maintain evaluation frameworks (evals) to measure response quality, accuracy, and hallucination rates.
• Drive automation coverage (80%+ for critical AI workflows) using deterministic + probabilistic validation approaches.
• Integrate AI quality checks into CI/CD pipelines with fast feedback cycles (<15 minutes for PR validation).
• Build tooling for LLM observability and debugging, including prompt tracing and response analysis.
• Partner with Applied AI teams on prompt engineering, model selection, and evaluation strategies.
• Design and execute performance and load tests for AI services (latency, throughput, cost efficiency).
• Identify and mitigate risks related to hallucinations, bias, safety, and edge cases.
• Define and track AI quality KPIs (task success rates, precision/recall, latency, etc.).
• Participate in design and architecture reviews to ensure systems are testable, observable, and resilient.
• Mentor engineers and contribute to raising the bar on AI quality engineering practices.

What you’ll bring

• 5+ years of experience in software engineering or SDET roles with an emphasis on software development.
• Strong programming skills in Python (preferred), Java, or JavaScript.
• Experience testing distributed, cloud-native SaaS systems and APIs.
• Demonstrated proficiency in coding with AI agents to accelerate development and improve code quality.
• Hands-on exposure to LLMs or AI/ML systems (e.g., OpenAI, Claude, Gemini, or similar platforms).
• Understanding of non-deterministic systems and probabilistic testing approaches.
• Experience building test frameworks and scalable automation systems.
• Familiarity with AI evaluation techniques (benchmarking, golden datasets, human-in-the-loop validation).
• Experience with CI/CD pipelines (e.g., Jenkins, GitHub Actions).
• Strong collaboration skills with the ability to work across distributed teams and time zones.
• Bachelor’s degree in Computer Science or equivalent practical experience.
• Backend: Python, Go, Google Cloud Platform, Cloud Run / App Engine, Kubernetes, Datastore, Redis, ElasticSearch.
• Frontend: Vue3, React.
• AI Stack: LLM APIs, LiveKit, prompt orchestration frameworks, evaluation tooling.

Your role
As a Sr. SDET in Agentic QA, you will own the test automation and quality frameworks that support Dialpad’s AI Voice Agent services. You will develop automated tests for end-to-end product experiences, from frontend UI to backend services to APIs to audio/text interactions. You will test orchestration flows, agent configuration experiences, and guardian safeguards to create robust automated coverage for functionality, performance, reliability, UX, and more. 

In this role, you will develop substantial amounts of automated test infrastructure and partner deeply with the development team to make our fast-growing AI platform more testable, more stable, and more delightful for customers.

This position is based at one of Dialpad’s Canadian offices and reports to a QA Eng Manager in the United States.

What you’ll do

• Own end-to-end quality for agentic features and workflows, including strategy, development, execution, and release qualification.
• Design and build automation tooling and frameworks for AI/LLM-driven systems, including prompt flows, agent orchestration, and tool integrations.
• Develop and maintain evaluation frameworks (evals) to measure response quality, accuracy, and hallucination rates.
• Drive automation coverage (80%+ for critical AI workflows) using deterministic + probabilistic validation approaches.
• Integrate AI quality checks into CI/CD pipelines with fast feedback cycles (<15 minutes for PR validation).
• Build tooling for LLM observability and debugging, including prompt tracing and response analysis.
• Partner with Applied AI teams on prompt engineering, model selection, and evaluation strategies.
• Design and execute performance and load tests for AI services (latency, throughput, cost efficiency).
• Identify and mitigate risks related to hallucinations, bias, safety, and edge cases.
• Define and track AI quality KPIs (task success rates, precision/recall, latency, etc.).
• Participate in design and architecture reviews to ensure systems are testable, observable, and resilient.
• Mentor engineers and contribute to raising the bar on AI quality engineering practices.

What you’ll bring

• 5+ years of experience in software engineering or SDET roles with an emphasis on software development.
• Strong programming skills in Python (preferred), Java, or JavaScript.
• Experience testing distributed, cloud-native SaaS systems and APIs.
• Demonstrated proficiency in coding with AI agents to accelerate development and improve code quality.
• Hands-on exposure to LLMs or AI/ML systems (e.g., OpenAI, Claude, Gemini, or similar platforms).
• Understanding of non-deterministic systems and probabilistic testing approaches.
• Experience building test frameworks and scalable automation systems.
• Familiarity with AI evaluation techniques (benchmarking, golden datasets, human-in-the-loop validation).
• Experience with CI/CD pipelines (e.g., Jenkins, GitHub Actions).
• Strong collaboration skills with the ability to work across distributed teams and time zones.
• Bachelor’s degree in Computer Science or equivalent practical experience.
• Backend: Python, Go, Google Cloud Platform, Cloud Run / App Engine, Kubernetes, Datastore, Redis, ElasticSearch.
• Frontend: Vue3, React.
• AI Stack: LLM APIs, LiveKit, prompt orchestration frameworks, evaluation tooling.

You are a strong senior full-stack software engineer with a proven track record of shipping and operating production systems at scale. You bring strong technical judgment, a high bar for quality, and the ability to lead complex initiatives end to end. You are comfortable working across frontend and backend systems, influencing architecture, and guiding teams through ambiguity.

At Rival, AI is central to how we build and how our product evolves. In this role, you are expected to lead AI-enabled feature development, own AI-focused epics, and elevate the team’s capabilities in modern AI-assisted development and AI product delivery. You understand how modern web applications are designed, built, and deployed in cloud environments. You are comfortable operating within AWS-based systems and take ownership of the reliability, scalability, and maintainability of the software you deliver.

As a Senior Software Engineer at Rival, you will lead the design, development, and delivery of high-impact features across our product platform, with a strong emphasis on AI-enabled capabilities. You will own outcomes end to end, mentor engineers, strengthen engineering standards, and collaborate closely with Product, UX, QA, and stakeholders to deliver well-scoped, reliable, and scalable solutions.

Who are we? 

When you join Rival Group, you’re not just accelerating your career—you’re also helping shape the future of customer insights and market research.

We’re a forward-thinking, results-driven organization obsessed with helping innovative brands get closer to their customers in a way that feels fresh, organic, and fun. Rival Technologies, the tech arm of our business, is the world’s best conversational research platform and one of Vancouver’s fastest-growing tech companies. 🚀 Reach3 Insights, our consulting side, is an award-winning 🏆 market research agency with offices in Chicago, Toronto, and Vancouver. Together, we’re helping brands like Coca-Cola, Kellogg’s, Dell Technologies, REVOLT TV, and Roblox get better insights they can use to deliver better products, create more impactful marketing campaigns, and improve the end-to-end customer experience.

Our customers LOVE our tech and services. We’re growing fast—and we’re inviting great people to join us on the ride 🎢

If making measurable, immediate impact while having fun sounds like your jam, then we invite you to apply! 👇

What you’ll do:

• Lead the design, development, testing, and release of production features across the Rival product suite
• Own feature epics from discovery and architecture through implementation,
  rollout, and iteration
• Build across frontend and backend systems in a modern JavaScript and TypeScript stack
• Partner with Product and Design to shape requirements, clarify trade-offs, and drive execution plans for complex initiatives
• Set and uphold a high bar for code quality, performance, security, reliability, and user experience
• Improve test coverage, CI reliability, tooling, and overall developer experience
• Drive technical design reviews and produce clear written design documentation
• Identify risks and dependencies early and communicate mitigation strategies
• Debug and resolve issues across the full stack, including cloud environments and production systems
• Influence architectural decisions and long-term technical direction
• Raise the bar through thoughtful code reviews, mentorship, and coaching
• Contribute to hiring, onboarding, and overall team development

AI and Modern Development Practices

Rival encourages engineers to thoughtfully leverage AI-assisted development tools to improve productivity and quality.

• Apply strong judgment to AI behavior, correctness, privacy, security, and reliability risks
• Design evaluation strategies for AI features using test suites, human review, metrics, and monitoring
• Establish best practices for AI integration, including guardrails, validation,
  observability, and maintainability
• Use AI-assisted development tools to improve engineering speed and quality
• Collaborate cross-functionally on AI requirements such as telemetry, user feedback loops, and model performance tracking

What You'll Have:  

• 7+ years of professional experience building and operating production software systems
• Strong full-stack expertise across frontend and backend development
• Demonstrated experience leading complex technical initiatives or epics end to end
• Strong software engineering fundamentals including architecture, testing strategy, performance, and reliability
• Experience building or integrating AI-enabled product features such as LLM workflows, retrieval systems, agent-style architectures, or automated decision support
• Ability to evaluate and improve AI feature quality using structured testing, monitoring, and feedback mechanisms
• Strong collaboration and communication skills across technical and non-technical stakeholders
• Experience working in cloud-based environments, preferably AWS
• Familiarity with serverless and or microservices architectures from an application perspective
• Ability to reason about and debug issues across the full stack

Technology Stack & Tools

• Languages & Runtime: JavaScript, TypeScript, Node.js
• Frontend: React, Redux, Next.js, Styled Components
• Backend & APIs: Express, GraphQL
• Data & Storage: PostgreSQL, Redis or Valkey, MongoDB
• Messaging & Search: Kafka, Elasticsearch or OpenSearch
• Cloud: AWS (application-level experience); CloudFormation, CDK, or Terraform (working knowledge, no infrastructure ownership)
• Testing: Cypress, Jest, React Testing Library, Playwright, Vitest, Cucumber
• Engineering & Collaboration Tools: Atlassian Jira and Confluence, with a solid understanding of Agile workflows, including backlog grooming, sprint planning, and Scrum ceremonies

Why us for your next career adventure?  

💵 Fair compensation

We’re committed to pay equity/fair pay practices and closing the gender salary gap. 

• In determining salary, Rival Technologies considers many factors including the successful candidate’s skillset and experience as well as internal equity. The salary range for this position is $120,000 to $150,000, with the upper portion typically reserved for tenured employees who have developed extensive job knowledge and expertise within the company.

Our compensation package also includes:

• Home office, Internet and Cellphone stipends
• RRSP plan with employer matching
• Parental leave top up

💆‍♂️ Flexibility and time off

• Hybrid working model and home office benefits
• Comprehensive paid time off that covers vacation, sick, and personal days. 

🩺 Health and wellness

• Extended health and dental plan
• Health spending account
• Generous sick, personal, and mental health days
• $1,000 annual mental health benefits with Canada Life

🤝 A great place to work you can be proud of

According to a survey of our employees conducted by an independent agency:

• 91% of our people believe management practices are equal and impartial
• 86% have pride in their work and the organization
• 91% agree that their teammates are friendly, supportive and welcoming

Our values at Rival:

• Courage
• Results
• Energy
• Kinship

The not-so-fine-print 🧐

If you think you’re a good fit, please connect with us ASAP with your resume. You must be eligible to work in Canada to be considered for this role. At Rival, we value the unique qualities and experiences that each candidate brings to the table. We believe in a personal approach to hiring and take the time to thoroughly review each resume ourselves. Rest assured, we do not use AI or automated systems to review or filter resumes. Every application is carefully reviewed by our hiring team to ensure a fair and personalized evaluation process. If you don’t see yourself fully reflected in every job requirement listed on the posting above, we still encourage you to reach out and apply. Research has shown that individuals in underrepresented groups often only apply when they feel 100% qualified. We are proud to be an equal opportunity workplace committed to building a team culture that celebrates diversity and inclusion. Rival provides equal employment opportunities to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.

Rival is also committed to fostering a culture of belonging, which includes ensuring an accessible work environment and employment practices. If you require accommodation at any point in the selection process, please email peopleteam@rivalgroup.io

Finally, we know from time to time emergencies happen and you may need to reschedule an interview — we understand and encourage you to be in communication without worrying about losing the opportunity or your credibility.

Please note given our security and compliance certifications, final applicants will be required to undergo a background check.

No recruiters and no phone calls, please!

What Is The Role
Elastic, the Search AI company, is looking for a high-energy Enterprise Account Executive to drive net-new revenue and expansion within strategic Enterprise accounts. You’ll be the owner of a defined territory where you’ll build your own pipeline, tell the Elastic Search AI story, and close complex, multi-stakeholder deals in a consumption-based model. This role sits at the intersection of sales execution, technical fluency, and cross-functional collaboration—and is critical to our growth in the Enterprise segment.

What You Will Be Doing

• Own your territory & build pipeline: Develop and execute a proactive outbound cadence (email, call, social) that generates ≥50 % of your booked opportunities.

• Deep discovery & qualification: Uncover pain, business impact, budget, and decision criteria using frameworks like MEDDPICC so you chase only the highest-confidence deals.

• Value storytelling & demos: Craft and deliver tailored narratives and live demos that map Elastic’s Search, Observability, and Security capabilities to measurable business outcomes.

• Mutual deal strategy & forecast accuracy: Collaborate with customers to build formal close plans and keep your CRM up-to-date, maintaining ≥90 % forecast accuracy within ±10 %.

• Executive negotiation & closing: Lead high-stakes contract and pricing discussions—defend your value, structure give/get trades, and land multi-year consumption commitments.

• Domain & cloud acumen: Position Elastic as the Search AI platform of choice by speaking fluently about cloud economics, usage-based pricing, and modern data architectures.

• Cross-functional partnership: Work hand-in-glove with Solutions Architects, Customer Success, Marketing, and RevOps to accelerate deals and drive exceptional customer outcomes.

What You Bring

• Proven SaaS quota‐carrying success: 5+ years closing complex Enterprise deals, consistently overachieving targets in a consumption-based or usage-model environment.

• Expert discovery & qualification skills: Demonstrated ability to apply MEDDPICC or equivalent frameworks to drive disciplined pipeline and eliminate low-probability deals.

• Compelling value storytellers: Track record of delivering executive-level presentations and demos that tie product capabilities to real dollars saved, revenue gained, or risk mitigated.

• Strong negotiation chops: History of landing multi-year, high-ACV contracts while protecting margin and securing executive stakeholder buy-in.

• Technical & cloud fluency: Comfortable discussing a broad range of technical topics including observability, security, vector/traditional search, and cloud cost optimization.

• Collaborative mindset & coachability: A learner who partners effectively with internal teams, incorporates feedback, and embodies Elastic’s values of community and openness.

• Open Source enthusiasm: Genuine appreciation for open-source communities and the Elastic model—bonus if you’ve sold or advocated in an OSS context.

Bonus Points

• Prior experience at an open-source or developer‐centric infrastructure company.

• Familiarity with observability (logs, metrics, traces) or security analytics (SIEM/XDR) use cases.

If you’re driven to build your own pipeline, master complex deal cycles, and help customers unlock the power of Search AI, we’d love to talk. Apply today!

#LI-AM2

About Your Role

We are looking for passionate and skilled software engineers to join us in our mission to secure the next generation of cloud-native applications. At the heart of our strategy is a set of open-source networking and security projects that define the new gold standard for application connectivity within large-scale cloud environments, such as Kubernetes, Docker, and related technologies. Building upon this open-source foundation, we are working on complementary commercial offerings to help enterprises build and operate cloud-native applications and infrastructures, securely and at scale.

You will be joining a team that is highly engineering-focused with a culture that values diversity, collaboration, agility, and innovation, keeping us one step ahead in the exciting and fast moving cloud-native technology space.

For this role, we are looking to hire in Vancouver (Hybrid).

Vancouver Salary Range: CAD $125,000 to CAD $150,000

Salary Range: 

You Will

• Be an active member of an engineering team working on tasks as part of release sprints
• Enhance and build new functionality in Golang
• Take responsibility (along with the team) for the entire development process of the features you are working on, including design, coding, testing, and releasing to production

You Have

5+ years of product-oriented software engineering experience

• Experience with distributed systems development
• Experience with one or more of the following areas and technologies: Kubernetes, Docker/containers, Networking.
• Hands-on experience with backend development languages like Golang (preferred), C, C++, Java, Kotlin, Python, etc.
• A drive to get things done in a highly collaborative, agile development environment
• A BS in CS or related/similar degree (equivalent experience may suffice)

Nice-to-Have

• Past experience with using storage technologies such as MongoDB or Elasticsearch.
• Any knowledge around prometheus and grafana.
• Any experience with GitOps methodologies and ArgoCD.
• Experience developing, securing, or operating cloud-scale applications or infrastructure.
• Ability to travel occasionally to attend conferences and to work with partners, customers, and colleagues in other offices

Engineering at Brex

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

Where you’ll work

This role will be based in our San Francisco Office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday.

As a perk, we also have up to four weeks per year of fully remote work!

What you’ll do

This opportunity is on our Product Data Platform (PDP) team, which builds and operates the high-performance data, query, and search infrastructure that powers critical Brex product experiences. PDP’s mission is to make Brex customizable, scalable, and reliable for finance teams, and that requires deeply optimized, production-grade backend systems.

As a Senior Software Engineer, you’ll work on data-intensive, distributed systems at scale. You’ll lead architectural and performance improvements across the platform, driving better latency, correctness, and scalability across multiple product surfaces. PDP also builds AI-powered data products, including an agentic reporting experience that enables customers to interact with their financial data in dynamic, intelligent ways. Your work ensures these systems are fast, reliable, and built to scale.

Responsibilities:

• Analyze and optimize complex query plans, execution paths, cost models, joins, and indexing strategies.
• Drive schema and access-pattern improvements to resolve systemic performance bottlenecks.
• Debug and remediate P95/P99 latency issues under load in production systems.
• Design and operate distributed systems with thoughtful tradeoffs around consistency, latency, caching, and failure modes.
• Evaluate existing architectures to proactively identify scaling risks and long-term reliability gaps.
• Implement and improve caching strategies, read/write separation, and replica usage.
• Contribute to and improve backend systems primarily in the JVM ecosystem (Kotlin/Java).
• Raise the technical bar through thoughtful design reviews and clear communication of tradeoffs.

Requirements:

• 7+ years of backend engineering experience building and operating production systems at scale.
• Experience building platforms or infrastructure used by real customers.
• Strong communication skills and ability to collaborate cross-functionally.
• Deep hands-on experience with relational databases (Postgres or Aurora strongly preferred)
• Strong expertise in query plan design and analysis, indexing strategies, and real-world database optimization.

Bonus:

• Hands-on experience with OpenSearch / Elasticsearch or similar systems in production
• Experience with multi-tenant or data-heavy platforms.

Compensation:

• The expected salary range for this role is $192,000 - $240,000 + equity. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Engineering at Brex

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

Where you’ll work

This role will be based in our Seattle Office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday.

As a perk, we also have up to four weeks per year of fully remote work!

What you’ll do

This opportunity is on our Product Data Platform (PDP) team, which builds and operates the high-performance data, query, and search infrastructure that powers critical Brex product experiences. PDP’s mission is to make Brex customizable, scalable, and reliable for finance teams, and that requires deeply optimized, production-grade backend systems.

As a Senior Software Engineer, you’ll work on data-intensive, distributed systems at scale. You’ll lead architectural and performance improvements across the platform, driving better latency, correctness, and scalability across multiple product surfaces. PDP also builds AI-powered data products, including an agentic reporting experience that enables customers to interact with their financial data in dynamic, intelligent ways. Your work ensures these systems are fast, reliable, and built to scale.

Responsibilities:

• Analyze and optimize complex query plans, execution paths, cost models, joins, and indexing strategies.
• Drive schema and access-pattern improvements to resolve systemic performance bottlenecks.
• Debug and remediate P95/P99 latency issues under load in production systems.
• Design and operate distributed systems with thoughtful tradeoffs around consistency, latency, caching, and failure modes.
• Evaluate existing architectures to proactively identify scaling risks and long-term reliability gaps.
• Implement and improve caching strategies, read/write separation, and replica usage.
• Contribute to and improve backend systems primarily in the JVM ecosystem (Kotlin/Java).
• Raise the technical bar through thoughtful design reviews and clear communication of tradeoffs.

Requirements:

• 7+ years of backend engineering experience building and operating production systems at scale.
• Experience building platforms or infrastructure used by real customers.
• Strong communication skills and ability to collaborate cross-functionally.
• Deep hands-on experience with relational databases (Postgres or Aurora strongly preferred)
• Strong expertise in query plan design and analysis, indexing strategies, and real-world database optimization.

Bonus:

• Hands-on experience with OpenSearch / Elasticsearch or similar systems in production
• Experience with multi-tenant or data-heavy platforms.

Compensation:

• The expected salary range for this role is $192,000 - $240,000 + equity. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Engineering at Brex

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

Where you’ll work

This role will be based in our Vancouver Office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday.

As a perk, we also have up to four weeks per year of fully remote work!

What you’ll do

This opportunity is on our Product Data Platform (PDP) team, which builds and operates the high-performance data, query, and search infrastructure that powers critical Brex product experiences. PDP’s mission is to make Brex customizable, scalable, and reliable for finance teams, and that requires deeply optimized, production-grade backend systems.

As a Senior Software Engineer, you’ll work on data-intensive, distributed systems at scale. You’ll lead architectural and performance improvements across the platform, driving better latency, correctness, and scalability across multiple product surfaces. PDP also builds AI-powered data products, including an agentic reporting experience that enables customers to interact with their financial data in dynamic, intelligent ways. Your work ensures these systems are fast, reliable, and built to scale.

Responsibilities:

• Analyze and optimize complex query plans, execution paths, cost models, joins, and indexing strategies.
• Drive schema and access-pattern improvements to resolve systemic performance bottlenecks.
• Debug and remediate P95/P99 latency issues under load in production systems.
• Design and operate distributed systems with thoughtful tradeoffs around consistency, latency, caching, and failure modes.
• Evaluate existing architectures to proactively identify scaling risks and long-term reliability gaps.
• Implement and improve caching strategies, read/write separation, and replica usage.
• Contribute to and improve backend systems primarily in the JVM ecosystem (Kotlin/Java).
• Raise the technical bar through thoughtful design reviews and clear communication of tradeoffs.

Requirements:

• 7+ years of backend engineering experience building and operating production systems at scale.
• Experience building platforms or infrastructure used by real customers.
• Strong communication skills and ability to collaborate cross-functionally.
• Deep hands-on experience with relational databases (Postgres or Aurora strongly preferred)
• Strong expertise in query plan design and analysis, indexing strategies, and real-world database optimization.

Bonus:

• Hands-on experience with OpenSearch / Elasticsearch or similar systems in production
• Experience with multi-tenant or data-heavy platforms.

Compensation:

• The expected salary range for this role is $192,000 - $240,000 CAD + equity. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

About Your Role

As a Senior TestOps Engineer within our Delivery Engineering team, you will be the architect of our quality gates. You won't just be "testing" software,  you will be building the high performance infrastructure and automated tooling that allows our developers to ship code with confidence and speed. You will bridge the gap between QA, DevOps, and Software Engineering to ensure our delivery pipeline is resilient, observable, and scalable.

This role is hybrid based in Vancouver

Salary range: CA$125,000 to CA$150,000 + stock options

You Will 

• Architect Test Infrastructure: Design and implement ephemeral test environments and automation frameworks for the various Kubernetes platforms in different Clouds using Golang, Docker/Kubernetes, and Terraform/Pulumi.
• Eliminate Toil: Identify manual bottlenecks in the delivery process and write automated tools and solutions to replace them using Golang.
• Gap Analysis and Strategy: Proactively identify architectural blind spots in complex integration points and write robust automated test suites using Go-test and Ginkgo, ensuring high-concurrency and flake-resistant execution.
• Engineer CI Pipelines: Build and maintain sophisticated CI/CD workflows (GitHub Actions, Tekton) that integrate automated testing seamlessly into the development lifecycle.
• Observability Integration: Work with OpenTelemetry, Elasticsearch, and Kibana to ensure test results provide deep, actionable insights into system health.
• Support Release delivery: Lead the creation of comprehensive release test plans, managing risk communication across Product and Engineering stakeholders.
• Champion Exploratory Testing: Beyond automation, apply a "breaker" mindset to uncover edge cases through exploratory testing and performance benchmarking.

You Have

• Experience: 5+ years in Software Test Tooling, DevOps, or Site Reliability Engineering (SRE).
• The "Engineer’s Engineer": Strong development skills in Go or Python. We need someone who doesn’t just use tools but builds them. Has a deep-seated drive to improve the developer experience by creating seamless, automated guardrails. A wide majority of our tools are built in-house.
• IaC Mindset: Experience treating infrastructure as a software problem (eg. Terraform, Pulumi) and believes environments should be as ephemeral and versioned as the code itself.
• Cloud & Containers: Comfortable navigating the complexities of K8s, from managing container lifecycles in Docker to troubleshooting pod lifecycles and resource usage in AWS/GCP/Azure.
• Quality Strategists: Who don’t just "run tests"; they identify coverage gaps at the architectural level. Have the foresight to pinpoint where service boundaries might fail and possess the skill to automate the validation of those integration points.
• CI/CD Architects: A star designing high performance pipelines (e.g., GitHub Actions, Tekton) that provide fast, reliable feedback loops to engineering teams.
• Observability Advocates: Believes that testing doesn't end at "Pass/Fail." And are looking for ways to integrate OpenTelemetry, Elastic, or Kibana to gain deep insights into system reliability via test performance.

Nice-to-Have

• Platform Mastery: Experience with Kubernetes distributions like OpenShift, Rancher, MKE.
• Hybrid Cloud: Familiarity with virtualization (vSphere, KubeVirt).
• The Logging Stack: Hands-on experience with Log aggregation (ElasticSearch/OpenSearch).
• Observability: Experience with distributed tracing (OpenTelemetry) and complex performance profiling.

LayerZero

The Future is Omnichain.

Founded in 2021, LayerZero’s vision is to create a community of cross-chain developers, building dApps that are no longer constrained by individual blockchain capabilities. With LayerZero's simple, generic messaging protocol, builders will develop cross-chain dApps designed to unify the power of individual blockchains.

We are funded by the best investors in the world including:

a16z, Sequoia, PayPal, Binance Ventures, Coinbase Ventures, Uniswap Labs, Circle Ventures, Delphi Digital, and many more.

ABOUT THE ROLE

WHAT YOU'LL DO

ABOUT YOU

• Deep knowledge of web technologies and large-scale web application architectures
• Familiarity with current trends and best practices in front-end architecture, including performance, security, and usability
• 2+ years of industry experience building scalable and performant production UIs and APIs using a stack similar but not limited to React, Typescript, AWS and Elasticsearch
• Strong customer empathy; you think critically of how our features impact our community, users, and business
• You enjoy working across Engineering and Design to build user friendly applications
• Interest in the Blockchain space

Equal Opportunity Employer

LayerZero Labs is committed to fostering a diverse and inclusive workplace. LayerZero Labs is an equal opportunity employer and does not discriminate on the basis of race, national origin, religion, gender, gender identity, sexual orientation, marital status, protected veteran status, disability, age, or any other legally protected status.