About the Team:

We’re looking for a Staff Software Engineer I/II to join our Data Ingestion Team, which builds and operates the critical infrastructure that serves as the “front door” of StackAdapt’s event flow. In this role, you’ll own technical direction for critical parts of our ingestion platform, lead large-scale initiatives, and shape how data flows across the company.

The Data Ingestion team tackles complex distributed systems challenges at massive scale, with a focus on scalability, performance, and reliability. Our systems process over 10 billion events per day, powering core functions across bidding, reporting, billing, analytics, and machine learning. You will work on challenging technical problems and partner with teams across the company to drive key initiatives.

We design + build low-latency, highly reliable distributed systems for impressions, clicks, conversions, and third-party signals, ensuring data is accurate and available to downstream teams in real time. This is a high-impact area at the core of StackAdapt’s platform, the systems you own will directly shape data quality, system reliability, and the speed at which teams across the company can build and innovate. Our work sits at the cutting edge of large-scale distributed systems, leveraging modern technologies and architectures to solve complex real-time data challenges. The core stack includes Golang, Kafka, TiDB, Aerospike, Vitess, Kubernetes, and more.

If you enjoy solving complex distributed systems problems at scale and driving technical impact across teams, this role would be a great fit for you.

StackAdapt is a Remote First company. We are open to candidates located anywhere in Canada or the United States for this position.

What You’ll Be Doing:

• Own and lead large technical initiatives end-to-end, from design through production and monitoring
• Provide technical leadership and mentorship to engineers across the team
• Design, build, and operate highly scalable, distributed ingestion services for real-time and near-real-time scenarios
• Contribute hands-on as needed while enabling the team to execute effectively
• Build and maintain event ingestion pipelines using streaming technologies like Kafka
• Work with high-volume storage systems and databases to persist and serve data efficiently
• Partner with Data, ML, Product, and Platform teams to support evolving requirements
• Improve code quality, testing practices, system reliability, and observability
• Participate in design reviews, code reviews, and architectural discussions
• Balance and prioritize projects to maximize impact and align with company objectives

What You’ll Bring to the Table:

• Extensive experience building distributed systems and high-throughput backend services
• Proven ability to lead technical direction and drive large, cross-team initiatives
• Strong problem-solving and communication skills, with comfort working in ambiguous, complex domains
• Collaborative mindset with the ability to influence across teams
• Ability to think strategically, lead technically, and drive high-impact, scalable solutions
• Hands-on experience with streaming systems (Kafka or similar)
• Strong understanding of distributed systems trade-offs (consistency, availability, partition tolerance, scalability)
• Maintains an AI-forward approach to software engineering - leveraging AI to boost productivity, collaboration, and business automation
• Bonus: Familiarity with AdTech, event-driven architectures, or analytics systems

#LI-TM8

Drive the future of resilient, cloud-first database platforms powering mission-critical payment ecosystems.

The Role

We are seeking a highly skilled AppOps DBA to join our Technology & Engineering team. In this role, you will play a key part in developing, operationalizing, and supporting next-generation on-premises and cloud database solutions. You will provide technical leadership across Oracle, Exadata, and Aurora PostgreSQL platforms, helping to ensure high availability, scalability, security, and operational excellence across mission-critical environments.

Working closely with Development, QA, Platform Engineering, and AppOps teams, you will contribute to automation-led database operations, cloud transformation initiatives, and continuous performance optimization in a fast-paced, highly collaborative environment.

What You’ll Do

• Manage and optimize Oracle, PostgreSQL, Aurora, AWS RDS, and Exadata database environments to ensure performance, reliability, and availability.
• Lead database operationalization initiatives including automation, observability, resiliency, backup, recovery, replication, and disaster recovery strategies.
• Support and influence cloud migration programs from Oracle on-premises environments to AWS-based Oracle and Aurora PostgreSQL platforms.
• Implement CI/CD pipelines, Infrastructure as Code practices, and intelligent automation to streamline deployment and operational processes.
• Collaborate cross-functionally with engineering, product, and support teams while participating in rotating on-call production support activities.

What We’re Looking For

• Strong hands-on experience managing Oracle Exadata, AWS RDS, Oracle, and Aurora PostgreSQL database environments.
• Expertise in AWS technologies including EC2, S3, Aurora, Redshift, AWS DMS, and AWS Schema Conversion Tool (SCT).
• Deep understanding of database architecture, SQL tuning, PL/SQL, performance optimization, backup and recovery strategies, and high-availability design.
• Experience with DevOps methodologies, container platforms such as Kubernetes and Docker, and Infrastructure as Code tools including Terraform, CloudFormation, and Ansible.
• Excellent communication, collaboration, and technical documentation skills, with the ability to work effectively across business and technical teams.

Bonus Points For

• AWS Certified Database – Specialty certification.
• AWS Certified Data Engineer or AWS Certified Solutions Architect certification.
• Oracle Cloud or Oracle Database certifications.
• Experience mentoring technical teams and driving operational best practices.
• Previous experience supporting large-scale distributed production environments in financial services or highly regulated industries.

Why Join Capco

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

Benefits

• Comprehensive Benefits Coverage – 100% company-paid health, life, and disability insurance effective from Day 1 of employment.
• Retirement Savings Program – RRSP with optional employer matching contributions.
• Virtual Health Care and Employee & Family Assistance Program available to employees and dependents.
• Enhanced parental leave benefits, wellness reimbursement, and new parent support programs.
• Business Coach from Day 1 with continuous learning and development opportunities.

Inclusion at Capco

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

Use of Artificial Intelligence in Talent Acquisition

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

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

Why This Role Is Open

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

#LI-hybrid

About Us

We’re looking for a Staff Engineer -  User Experience (Backend) to join our Patient Platform team and shape the systems that power patient-facing experiences across our health technology platform. This team owns the APIs, orchestration services, and communication infrastructure that enable secure, reliable interactions between patients and our platform (Email, SMS, notifications).

We are at a critical stage of growth, scaling our platform, modernizing legacy services, and strengthening our event-driven architecture to support increasing patient volume and communication complexity. This role will play a central part in defining how our backend systems evolve as we scale.

As a Staff Engineer -  User Experience (Backend), you will be the technical authority for the Patient Platform domain, translating architectural strategy into scalable, production-ready distributed systems in partnership with cross-functional teams. You will drive the evolution of our API-first architecture (including BFF and orchestration patterns), define and enforce API contracts, and modernize tightly coupled services into scalable, event-driven components. 

This is an opportunity for a senior technical leader who thrives in ambiguity, moves pragmatically, and enjoys balancing hands-on engineering with architectural influence.

You will strengthen reliability, observability, and fault tolerance across distributed systems, scale and harden our patient communication platform (Email, SMS, notifications), and design secure systems handling sensitive patient and identity data in regulated environments. Additionally, you will champion best practices in automated testing, CI/CD, and secure development while elevating engineering standards through mentorship, design reviews, and technical leadership.

This is a fully remote role, open to candidates based in Ontario, with flexibility to collaborate across Pacific and Eastern time zones.

Help reshape the world through proactive healthcare while working with cutting-edge technology and high performing teams with deep expertise - join us to make a difference in people’s lives! 

What You’ll Do

• Lead design and modernization of our patient-facing backend services
• Drive API design best practices, including BFF and orchestration patterns
• Define and enforce API contracts and cross-service communication standards
• Design and implement event-driven workflows using AWS EventBridge and async messaging
• Improve reliability and fault tolerance of communication pipelines (email, SMS, notifications)
• Ensure secure authentication and authorization is consistently implemented across APIs
• Untangle tech debt and make high-leverage decisions that improve engineering velocity
• Design secure, scalable systems that handle sensitive patient and identity data
• Mentor engineers across the team and elevate system design standards
• Collaborate cross-functionally with Product, Architecture, Security, QA, Clinical, and Frontend teams
• Communicate complex technical concepts clearly to cross-functional stakeholders and leadership, influencing architectural direction and product decisions
• Advocate for improvements in developer experience, testing practices, and system observability

What You’ll Bring

• 10+ years of backend engineering experience, including platform or high-scale distributed systems
• Strong experience in Python (FastAPI, Flask) or similar modern backend frameworks
• Deep expertise designing event-driven architectures in AWS (EventBridge, SQS/SNS, Lambda, ECS)
• Experience building and operating async task processing systems (e.g., Celery or similar)
• Proven ability to define and govern REST and/or GraphQL APIs at scale
• Strong understanding of service boundaries, microservices, and async service-to-service communication
• Experience designing highly observable systems (metrics, tracing, alerting — e.g., Datadog or similar)
• Experience implementing secure authentication and authorization (OAuth2, JWT, service-to-service security)
• Experience working with Postgres, DynamoDB, and distributed caching systems (e.g., Redis)
• Familiarity with Infrastructure as Code (Terraform/CDK) and mature CI/CD practices
  Experience designing systems in regulated environments handling sensitive data (HIPAA, PHI/PII)
• Excellent technical communication skills and demonstrated cross-team architectural influence
• Ability to operate effectively in ambiguity and drive clarity across teams

Nice to Have

• Experience building or scaling communication platforms (email delivery systems, SMS gateways, notification orchestration)
• Familiarity with BFF patterns supporting React or modern frontend applications
• Hands-on experience with contract testing frameworks (e.g., Pact)
• Experience navigating the challenges of a startup transitioning into a scale-up
• Experience with healthcare or regulated environments (HIPAA, PHI/PII)
• Familiarity with security and privacy standards (e.g., HIPAA, ISO 27001, ISO 13485)

Our Values 

First: we are Pioneers

• Transforming healthcare requires divergent thinking, bias for action, disciplined experimentation, and consistent grit and determination to maintain momentum. This journey is as challenging as it is rewarding.

Second: we are Platform-Builders

• We’re always building foundations that allow us to achieve tomorrow more than we did today. We never lose sight of what’s ahead – in a mindset of ownership and duty to our mission.

Above all: we are Patients

• We could all be the next person who walks through our very doors, seeking clarity or peace of mind. We are proud of our impact on our patients’ lives, and we won’t stop till everyone can benefit from our work.

What We Offer

• An avenue to make a positive impact on people's lives and their health
• We believe in preventative healthcare for everyone, including our team - Prenuvo provides free, whole-body scans to each team member 
• Growth opportunities are at the heart of our people journey, we’re doing big things with bright minds - there is no single path to success, it can be shaped along the way
• Building strong relationships is at the core of everything we do - our team gets together each week to connect, share, and socialize 
• Recognizing time away to restore is vital to our wellbeing - we have a flexible vacation policy and we will encourage you to use it
• We offer a comprehensive benefits package including health, dental, vision, including Mental Health coverage, to support you and your family
• Prenuvo offers eligible Canadian employees access to both RRSP and TFSA retirement savings plans, with immediate, optional enrollment and the flexibility to invest and save for the future on your own terms. While Prenuvo provides access to these plans, the company does not currently offer matching contributions.
• The base salary for this role ranges from $180,000- $210,000 in local currency, depending upon experience and geographic location

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

As part of the hiring process, successful candidates will undergo a background check in compliance to applicable federal, provincial, and state rules.

Please be advised that official communication from our recruitment team will only come from our authorized domain [prenuvo.com]. If you are contacted by a recruiter, please ensure their email address ends with @prenuvo.com. We do not use third-party recruitment services or any other email domains for hiring purposes. If you receive communication that you believe to be fraudulent, please report it immediately to jobs@prenuvo.com.

 Who you’ll be working with

You’ll join our fast-moving engineering team where ownership is key. You will collaborate closely with engineering leads, developers, product management, and QA while independently driving infrastructure, deployment, and system reliability initiatives.

You will be expected to take end-to-end responsibility for DevOps processes and execute effectively with minimal guidance in a high-impact environment.

What you’ll be doing

• Design, implement, and manage end-to-end CI/CD pipelines
• Build and maintain Infrastructure as Code (Terraform preferred)
• Execute and manage services in multi-cloud environments (min. 2: AWS / Azure / GCP)
• Containerize applications using Docker and orchestrate with Kubernetes
• Configure and optimize CDN, networking, and edge delivery (CloudFront, Cloudflare, etc.)
• Implement observability, logging, and monitoring systems (Prometheus, Grafana, ELK, etc.)
• Ensure security best practices (DevSecOps) across infrastructure and pipelines
• Troubleshoot production issues and drive root cause analysis independently
• Optimize systems for performance, scalability, and cost efficiency
• Automate manual processes and improve engineering productivity

What you’ll need to be successful (Requirements)

Must have skills:

• 5+ years of experience in DevOps / Platform Engineering
• 3+ years of strong hands-on experience with at least 2 cloud platforms (AWS, Azure, GCP)
• Proven experience with Terraform / Infrastructure as Code
• Deep expertise in Docker & Kubernetes
• Strong experience with CI/CD tools (GitHub Actions, Jenkins, GitLab CI)
• Solid understanding of networking, CDN, DNS, and load balancing
• Experience with monitoring & observability tools (Prometheus, Grafana, ELK, Datadog, etc.)
• Strong scripting skills (Python / Bash preferred)
• Strong understanding of security best practices (IAM, secrets, access control)
• Experience with Linux systems and production debugging

Nice to have skills:

• Relevant cloud certifications (AWS Certified Solutions Architect, Azure Administrator, Google Cloud Engineer, etc.)
• Certifications or exposure to Kubernetes (CKA/CKAD) or Terraform (HashiCorp Certified)
• Experience working in Agile environments (Scrum / Kanban)
• Experience with cost optimization practices and compliance standards (e.g., SOC 2)

Need another reason to hit the “apply” button?

• A global agency with over 200 employees, and offices in the US, UK, India and Canada. 
• A fun, diverse group of professionals that know how to have a good time on and off the job. We regularly host happy hours, dinners, excursions, and other company events to unwind after a hard day at work.  
• Offer Medical, Dental/Vision, and many more insurance types! 
• Paid Government Holidays
• An office in the heart of downtown Toronto.  
• Working hybrid for in-person collaboration and sprint-planning days

Compensation:
         $120,000-$140,000 CAD

We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.

We’re looking for a Lead Software Engineer to join the Behavioral team, responsible for turning raw customer signals into meaningful marketing triggers. This team builds the behavioral intelligence layer of our platform — systems that detect patterns in customer activity and inactivity (such as cart abandonment, price drops, or loyalty milestones) and translate them into automated messaging opportunities.

This is a hands-on technical leadership role for someone who thrives at the intersection of big-picture architecture and heads-down implementation. You’ll help shape the technical direction for a critical platform capability while also staying close to the details: designing systems, writing code, reviewing implementation, mentoring engineers, and unblocking the team on complex technical problems.

You’ll work on challenging distributed systems problems involving high-volume event data, event correlation, temporal windows, stateful evaluation, trigger eligibility, account-specific readiness, idempotency, reliability, observability, and downstream activation. The systems you help build will power use cases like cart abandonment, browse abandonment, checkout abandonment, price drops, back-in-stock alerts, loyalty milestones, replenishment reminders, and audience membership changes.

What You’ll Do

• Shape the Behavioural Platform Architecture: Help define the technical vision, system boundaries, and architecture for services that transform customer activity signals into actionable trigger events.
• Lead by Example: Be a hands-on technical leader who contributes directly to high-impact work through design, implementation, code review, debugging, and production support.
• Build the Behavioural Decisioning Engine: Design and implement services that detect behavioral patterns across events, correlate signals across time windows, and determine trigger eligibility.
• Design Stateful Contact Context: Help architect systems that maintain the short-lived behavioral state and lookback windows needed to evaluate patterns such as “action without completion,” multi-event intent signals, and state-change-driven triggers.
• Establish a Reusable Pattern Framework: Help build declarative or rule-based capabilities that allow new behavioral triggers to be defined, configured, evaluated, and extended efficiently over time.
• Mentor & Guide Engineers: Provide day-to-day technical guidance, unblock engineers, review designs and code, and help raise the technical bar for the team.
• Plan & Deliver: Partner with the Engineering Manager and Product to turn ambiguous goals into clear technical plans, milestones, and incremental delivery paths.
• Partner Across the Platform: Collaborate closely with partner engineering teams to ensure behavioral signals integrate cleanly into campaign orchestration and message delivery systems.
• Drive Operational Excellence: Ensure Behavioural services operate reliably at scale as they process high volumes of customer activity signals. Use observability, metrics, traces, logs, alerts, and postmortems to continuously improve system quality.
• Influence Technical Direction Broadly: Represent the Behavioural team in architecture discussions and help create alignment around technical patterns, dependencies, and platform interfaces.

What You Bring

• 7+ years of professional software engineering experience, with a strong track record of building and operating backend or platform systems in production.
• Significant experience designing and operating distributed, event-driven, or high-scale backend systems.
• Strong architectural judgment around stateful services, real-time or near-real-time decisioning, asynchronous processing, system reliability, and production operations.
• Hands-on technical leadership experience: you are comfortable being the go-to person for unblocking, reviewing, mentoring, and leading complex technical initiatives end-to-end.
• Experience translating ambiguous product goals into pragmatic technical designs and incremental execution plans.
• Familiarity with systems that process high-volume event data, such as event stream processing, behavioral analytics, pub/sub systems, workflow systems, rule engines, or decisioning engines.
• Strong understanding of distributed systems concerns such as retries, duplicate events, ordering, late-arriving data, idempotency, backfills, partial failures, tenancy, and data consistency tradeoffs.
• Experience building scalable backend services in cloud environments, preferably Google Cloud Platform.
• A strong focus on operational excellence — building reliable systems with monitoring, alerting, logging, tracing, incident response, and shared ownership of on-call responsibilities for business-critical services.
• Clear communication skills and the ability to translate technical tradeoffs into practical decisions with Product, Design, engineering partners, and business stakeholders.
• A collaborative, product-minded approach to platform engineering — balancing technical quality with customer value and delivery momentum.

Why This Role Matters

Behavioural triggers power some of the most effective marketing experiences. When done well, they allow brands to respond instantly to customer intent — recovering abandoned carts, alerting customers to price changes, or reminding them to replenish products at the right moment. The systems your team builds will detect these signals and turn them into action — making the Behavioral platform one of the most strategic capabilities in the entire product.

The base pay range for this position is $147,300-$192,000/year, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.

We are looking for inquisitive, well-rounded Backend engineers to join our Monetization engineering teams. Working closely with product managers, designers, data scientists, and backend engineers, you’ll play an important role in enabling the newest technologies and experiences as we scale and evolve. You will build robust frameworks & features. You will accelerate velocity for one of the world’s largest public cloud workloads. You will empower both developers and Pinners alike. You’ll have the opportunity to find creative solutions to thought-provoking problems. Even better, because we covet the kind of courageous thinking that’s required in order for big bets and smart risks to pay off, you’ll be invited to create and drive new initiatives, seeing them from inception through to technical design, implementation, and release.

What you’ll do:

• Build out the backend for Pinner-facing features to power the future of inspiration on Pinterest
• Contribute to and lead each step of the product development process, from ideation to implementation to release; from rapidly prototyping, running A/B tests, to architecting and building solutions that can scale to support millions of users
• Partner with design, product, and backend teams to build end-to-end functionality
• Put on your Pinner hat to suggest new product ideas and features
• Employ automated testing to build features with a high degree of technical quality, taking responsibility for the components and features you develop
• Grow as an engineer by working with world-class peers on varied and high impact projects
• Design, develop, and operate large scale, distributed systems and networks
• Work with Engineering customers to understand new requirements and address them in a scalable and efficient manner
• Actively work to improve the developer process and experience in all phases from coding to operation
• Leverage AI to seek faster execution (i.e. draft, prototype, outline) and explore alternative options (i.e. iterate, compare approaches)
• Leverage AI to synthesize information (summarize, distill themes) and automate repeatable tasks (documentation, reporting, QA checks)

What we’re looking for:

• 1+ years of industry backend development experience, building consumer or business facing products
• Proficiency in common backend tech stacks for RESTful API, online service, storage, caching and data processing
• Experience building & operating large scale distributed systems and/or networks. Bonus points if you enjoy deploying and operating large scale workloads on a public cloud footprint
• Experience in Python, Java, C++, or Go or another language and a willingness to learn
• Experience in following best practices in writing reliable and maintainable code that may be used by many other engineers
• Ability to keep up-to-date with new technologies to understand what should be incorporated
• Strong collaboration and communication skills
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs.
• Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review).
• Bachelor’s/Master’s degree in a relevant field such as Computer Science, or equivalent experience

Relocation Statement:

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

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• This role will need to be in the office for in-person collaboration 1-4 times per year and therefore can be situated anywhere in Ontario.

This job posting is for an open vacancy. Please note that the company utilizes artificial intelligence to screen applicants for the positions.

#LI-HYBRID #LI-CH1

The Staff Full Stack Engineer Opportunity

The Access Management group drives billions of authentications every month. The group builds and supports single sign-on, strong authentication, provisioning, and threat protection technologies. Our Access Management service runs in the cloud on a secure, reliable, extensively audited platform with 99.99% availability.

We are looking for an experienced and highly technical full stack software engineer to join the Federated Authentication Platform team. Operating under the larger Access Management group, this team is responsible for building out the authentication pipeline for the Okta Identity Engine leveraging security standards, this platform provides the core orchestration building blocks to create a world class authentication experience.  We are looking for smart, innovative and passionate engineers to join the team.

What you’ll be doing 

• Design, implement, review and troubleshoot highly scalable backend services and APIs.
• Develop and maintain engaging and responsive user interfaces using modern web frameworks.
• Analyze/Refine Requirements with Product Management, bridging the gap between user needs and technical implementation.
• Work with engineering management to scope and plan engineering efforts across the full stack.
• Collaborate with QA, Product Management, Technical Support, Documentation and UX team

What you’ll bring to the role

• 8+ years of experience building and deploying scalable, reliable, mission-critical software, spanning both frontend and backend development.
• Proficiency with at least one Object-Oriented Backend Language (e.g., Java, C#, Python, Go) and modern JavaScript/TypeScript.
• Experience with a modern frontend framework (e.g., React, Angular, Vue.js).
• Strong understanding of RESTful API design and interaction.
• Experience working with a system of scale

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

• Experience with server-side technologies including caching, asynchronous processing, and multi-threading.
• Experience in TDD or BDD methodologies.
• Knowledge of Identity and Access Management protocols and technologies: OAuth, OpenID Connect, SAML, Federation, SSO, etc.
• Experience with cloud platforms (e.g., AWS, Azure, GCP).

(P5928_3355117)

#LI-Hybrid 

#BB-1

Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. We are looking for a fullstack Senior Software Engineer to join the Toast IQ team to transform how Toast helps its customers run their restaurants.

Toast IQ has landed with our users with much excitement and an appetite for us to deliver more capabilities across the entire Toast ecosystem.  We believe that if we do our job right, restaurants using Toast IQ will spend less hours on operations, make better margins, generate more revenue, and have a better guest and employee experience, compared to other restaurants outside and within the Toast ecosystem.

This role includes responsibility for the experience delivered to our end users, the services backing that experience, and the integrations to other Toast products. 

A day in the life (Responsibilities)

• Join a collaborative team of Design, Product, QA, and other engineering members in developing robust and scalable full-stack software applications.
• Lead complex projects that improve functionality and reliability for our customers
• Provide design feedback and participate in code reviews to ensure implementation meet requirements
• Drive architectural discussions and influence the technical roadmap
• Advocate for best coding practices to raise the bar for you, your team, and the company
• Mentor and provide technical guidance to other team members
• Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team.

What you'll need to thrive (Requirements):

• 4+ years of backend experience in Java, Kotlin, or other object-oriented languages
• 1+ year of building agentic experiences
• Proficient with modern API and service design technologies (e.g. GraphQL, TF)
• Experience shipping both feature- and platform-enabling functionality
• Excellent cross-team communication skills on complex technical topics
• An appetite to work across the stack is a plus
• Passionate about technology and learning new things

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

This role is for a current vacancy.

#LI-REMOTE

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About the CMS Registry Solution

The CMS Registry Solution powers end-to-end collateral and lien management for banks, automotive finance companies, credit unions and other lenders. The platform automates the full lien lifecycle—registration, amendment, search, monitoring and discharge—to protecting lenders, reduce risk and ensure compliance, and provides value-added features such as lien validation, asset monitoring and fraud detection.

We’re actively modernizing the platform that is mission-critical used by major financial institutions with a focus on scalability, automation, and developer experience. Current work includes containerizing services, upgrading .NET runtimes, strengthening CI/CD and observability, and adopting Infrastructure as Code—alongside pragmatic AI-assisted development and intelligent QA.

You’ll join a small, critical, high-impact support team (engineers, product owner, engineering manager) focused on keeping customer-facing systems reliable and resolving real production issues. You’ll own the operational health of key parts of the platform, contribute to incident response and reliability improvements, and help raise the quality bar through strong troubleshooting, documentation, and engineering judgment.

The Software Engineer — Support is an individual contributor responsible for maintaining the reliability, stability, and operational health of CMS services. This role focuses on hands-on execution within a single team or service area, supporting production systems and contributing to continuous operational improvement.

The role works across the full stack — Angular frontends, .NET (Core / 6+ / .NET 8) services, and SQL Server — and delivers KTLO / BAU outcomes including incident response, production troubleshooting, runbook maintenance, release and patch support, and reliability improvements under guidance.

The engineer collaborates closely with Product, Development, Platform, and Database teams to help ensure service availability, meet SLAs, and support safe change delivery.

What You’ll Do: 

Incident Management & Operations

• Support the reliability and operational health of current EC2-hosted services while assisting with incident response, monitoring, and KTLO operations during the migration to containerized deployments
• Participate in production incident response by triaging issues and contributing to resolution in line with defined SLAs
• Participate in an on-call rotation, following established escalation paths and providing after-hours support as required
• Communicate incident status and updates clearly to technical stakeholders

Monitoring, Troubleshooting & Reliability

• Monitor application and infrastructure health using tools such as New Relic, SolarWinds DPA, CloudWatch, or Datadog
• Proactively tune alerts and act on early warning signals to prevent customer impact
• Diagnose complex production issues using logs, traces, metrics, and user reports
• Apply mitigations and deliver permanent fixes in collaboration with development teams

KTLO / BAU Ownership

• Maintain and update runbooks, playbooks, FAQs, and troubleshooting documentation
• Perform KTLO activities such as scheduled maintenance, patching, backups and restores, database indexing, archiving jobs, and capacity checks
• Support releases, hotfixes, and patches, including deployment validation and production smoke testing

Continuous Improvement

• Contribute to root cause analysis (RCA) for production incidents
• Identify recurring issues and suggest operational or automation improvements
• Assist with performance investigations, including SQL query analysis, under guidance
• Adopt automation and AI-assisted tooling to reduce operational toil and improve triage efficiency

What We’re Looking For:

Must Have

• Hands-on experience with .NET and C#, including modern .NET runtimes, for production support and fixes
• Familiarity with AWS services such as EC2, S3, CloudWatch, and IAM
• Exposure to CI/CD pipelines (GitHub Actions preferred), including release support and troubleshooting
• A DevOps mindset with interest in build, deploy, operate, and improve workflows
• Working knowledge of Angular, TypeScript, and RESTful APIs, with the ability to debug issues across the stack
• Experience supporting SQL Server–based applications, including basic performance analysis and operational tasks (AWS RDS experience a plus)
• Comfort working in production environments and responding to incidents
• Interest in using AI-assisted development and intelligent QA tools to improve productivity
• Strong collaboration, communication, and ownership mindset

Nice-To-Have

• Experience with Docker and containerized applications
• Exposure to Infrastructure as Code (Terraform or CloudFormation)
• Familiarity with modern test automation tools (e.g., Playwright, Cypress)
• Prior experience in L2/L3 production support or on-call rotations

Impact You’ll Deliver:

By joining the Support team, you’ll help keep the CMS platform stable and trusted by contributing to faster incident resolution, safer releases, improved operational documentation, and the organization’s transition toward more cloud-native and automated operations.

What’s In It For You?

We understand that there is life at work and life outside of work. Here are a few benefits we all benefit from that support us to be our creative best. 

 Benefits from Day 1 

• Gym discounts
• Employee and Family Assistance program
• Virtual wellness events
• Conferences & training budget
• Regular internal training programs 

Financial planning 

• Let us help you invest in your future with 3% matching towards your pension and multiple forms of income protection. 

 Competitive salary 

• Annual bonus structure
• 3% CPP matching 

---

The base salary range for this position is CAD $100,000 – CAD $150,000.

This range reflects the expected compensation at the time of posting. The final offer may vary and can be higher based on relevant skills, experience, location, and market conditions. Based on the role the total rewards package may also include benefits, bonus, and other employee offerings.

Use of Artificial Intelligence in Hiring: We use artificial intelligence (“AI”) in our hiring process, including to screen, assess, or select applicants for this position.
Vacancy Status: This job posting is for an existing vacancy.

---

About the CMS Registry Solution

The CMS Registry Solution powers end-to-end collateral and lien management for banks, automotive finance companies, credit unions and other lenders. The platform automates the full lien lifecycle—registration, amendment, search, monitoring and discharge—to protecting lenders, reduce risk and ensure compliance, and provides value-added features such as lien validation, asset monitoring and fraud detection.

We’re actively modernizing the platform that is mission-critical used by major financial institutions with a focus on scalability, automation, and developer experience. Current work includes containerizing services, upgrading .NET runtimes, strengthening CI/CD and observability, and adopting Infrastructure as Code—alongside pragmatic AI-assisted development and intelligent QA.

You’ll join a small, critical and high-impact team (engineers, product owner, engineering manager) focused on solving real customer problems with durable systems. You’ll be expected to own a major slice of the platform, lead technical execution for key initiatives, and raise the quality bar through strong engineering judgment.

What You’ll Do: 

Build & Evolve Critical Systems 

• Design and implement scalable, resilient backend and frontend services using .NET (Core / 6+ / 8), Angular, and RESTful APIs
• Lead registry modernization initiatives, including containerization of legacy .NET workloads, runtime upgrades, and improvements to deployment and operational reliability
• Contribute to data-layer improvements, focusing on performance, scalability, and operational reliability

Own Architecture & Technical Decisions 

• Drive technical design discussions and make pragmatic architectural decisions within the team
• Integrate observability, security, and performance best practices into system design
• Balance technical excellence with delivery needs when evolving existing systems

Build With an Ownership Mindset 

• Own solutions end-to-end, from design through deployment and production operation
• Establish and improve CI/CD pipelines using GitHub Actions and contribute to standardized engineering practices
• Take accountability for reliability, operational outcomes, and continuous improvement of owned systems

Collaborate & Lead 

• Collaborate closely with Product, Platform, and other engineering teams to deliver production-ready capabilities
• Mentor and support other engineers through code reviews, design discussions, and day-to-day technical leadership
• Act as a role model for strong ownership, technical quality, and constructive collaboration

What We’re Looking For:

Must Have

• Strong hands-on experience building production systems with .NET and C# (modern .NET preferred)
• Experience working with AWS services such as EC2, S3, CloudWatch, and IAM
• Proficiency in Angular, TypeScript, and RESTful API design
• Solid understanding of SQL Server and relational data modeling (managed database experience a plus)
• Comfort operating in production environments and learning from real-world feedback
• Demonstrated experience leveraging AI-assisted development and testing tools to improve productivity, code quality, and operational efficiency
• Clear communication skills and a collaborative, ownership-driven approach
• A builder’s mindset: If you can think it, you can build it. If you build it, you own it.

Nice-To-Have

• Experience with Docker, Terraform / CloudFormation, or Kubernetes-based platforms
• Background in system modernization, refactoring, or legacy platform evolution
• Experience with database performance optimization
• Exposure to AI-driven QA (e.g., Playwright, Cypress with AI integrations)

What’s In It For You?

We understand that there is life at work and life outside of work. Here are a few benefits we all benefit from that support us to be our creative best. 

 Benefits from Day 1 

• Gym discounts
• Employee and Family Assistance program
• Virtual wellness events
• Conferences & training budget
• Regular internal training programs 

Financial planning 

• Let us help you invest in your future with 3% matching towards your pension and multiple forms of income protection. 

 Competitive salary 

• Annual bonus structure
• 3% CPP matching 

---

The base salary range for this position is CAD $140,000 – CAD $190,000.

This range reflects the expected compensation at the time of posting. The final offer may vary and can be higher based on relevant skills, experience, location, and market conditions. Based on the role the total rewards package may also include benefits, bonus, and other employee offerings.

Use of Artificial Intelligence in Hiring: We use artificial intelligence (“AI”) in our hiring process, including to screen, assess, or select applicants for this position.
Vacancy Status: This job posting is for an existing vacancy.

The Auth0 platform secures more than 100 million logins each day for customers all around the world - and we're growing fast! The Platform Runtime team enables Auth0 engineers to move faster by giving them the foundational infrastructure to deploy and manage their services on AWS and Azure. This is a role with a huge impact. You will get to work with engineers throughout the organization and what you build will be a foundational piece of the infrastructure that allows Auth0 to scale for years to come.

We are looking for a Senior Engineer who is passionate about distributed systems, availability, and delivering customer value. Because we build and support the overall Auth0 platform, the ideal candidate is someone who is passionate about low level infrastructure, operations, and not intimidated by cross-organization coordination and collaboration.

You will:

• Serve as the ultimate technical authority and final escalation point for advanced Kubernetes cluster troubleshooting, ensuring the continuous stability and resilience of our foundational infrastructure.
• Define and enforce organization-wide standards and architectural guidelines for Terraform. You will maintain core provider functionality and oversee critical security protocols, including automated credential rotation machinery.
• Develop and maintain application deployment standards, managing Kustomize and built-ins to standardize and streamline deployments across all product teams.
• Orchestrate complex GitOps workflows leveraging ArgoCD and Argo Workflows. You will take full ownership of Environment Lifecycle Management, handling everything from environment creation, synchronization, and user onboarding to failover procedures and safe deletion.
• Architect the Testing Automation Framework to support dynamic environment provisioning and destruction. This will enable advanced quality assurance practices, such as chaos testing, while empowering teams to manage their own test workflows.
• Oversee the Control Plane infrastructure, guaranteeing operational stability and managing essential platform services, including HashiCorp Vault and our fleet of self-hosted GitHub Action Runners.
• Lead the intra-space network architecture, driving the implementation, management, and scaling of our Service Mesh to ensure secure and efficient service-to-service communication.
• Participate in the team's on-call rotation.

You might be a good fit if you:

• Have 5+ years of software development experience, specifically working with infrastructure or platform.
• Are proficient in Golang.
• Have a deep understanding of Kubernetes and containerization.
• Have DevOps experience using cloud-agnostic, cloud-native technologies.
• Demonstrable knowledge of TCP/IP and HTTP fundamentals.
• Have demonstrable expertise managing cloud resources (AWS/Azure) via code, specifically for automated provisioning.
• Have experience managing infrastructure with Terraform at scale.
• Bring a Tier-1 Service mindset: you write code that handles edge cases, network partitions, and partial failures gracefully.
• Tend to deliver work incrementally to get feedback and iterate over solutions.
• Have a passion for working on systems that are highly reliable, maintainable, scalable and secure.
• Bring the right attitude to the team: ownership, accountability, and attention to detail.
• Are comfortable working on a fully-distributed team.
• Have a relentless passion for ownership, accountability, and diving into complexity to deliver highly reliable and performant systems.

Extra Points:

• Significant experience with PostgreSQL for managing complex, relational entity state.
• Experience building custom Kubernetes controllers or extending Terraform providers.
• Familiarity with gRPC for high-performance internal service communication.

#LI-Hybrid

P24752

The Product

Auth0 is a developer-friendly identity platform that simplifies authentication and authorization for applications.Designed by developers for developers, we make access to applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier-Ø global service to deliver convenience, privacy, and security so customers can focus on innovation. Know more about our product at https://auth0.com/.

The Core Identity organization 

We are hiring for multiple teams within Core Identity, the Engineering organization entrusted with the very heart of the Auth0 application. Our teams own the authentication pipeline, identity protocols, user sessions, and all the fundamental concepts and foundational elements that underpin our entire product. We are also the stewards of the platform's technical health, performance, and efficiency.

Our teams are comprised of engineers with deep expertise in digital identity who are dedicated to designing and operating robust, large-scale systems. The work we do directly impacts millions of users daily and enables other product teams to build innovative features securely and efficiently. We own and operate these mission-critical services at scale while also serving as key partners to other engineering teams across Auth0.

The Role

This is an opportunity to solve complex distributed systems challenges at a global scale. As a Senior Software Engineer in Core Identity, you will design, build, and operate the critical services that form the backbone of our identity platform. You will primarily work with our NodeJS backend (TypeScript/JavaScript), with data stored in MongoDB, PostgreSQL, and Redis, all running on a multi-cloud infrastructure (AWS and Azure). If you have a passion for simplifying complex problems and building resilient, secure software, we encourage you to apply. Experience with or an interest in Identity and Access Management is highly valued.

What you will do: 

• Join a fast paced and agile team spread remotely across Central Europe and US or Canada EST.
• Build innovative features and standards that extend the capabilities of Auth0’s platform to help organizations securely innovate around the world.
• Take ownership of the technical quality, security, reliability, and scalability of our systems. You'll drive architectural improvements and advocate for engineering best practices.
• Work in a highly collaborative and cross-functional environment, working with talented engineers and partners across Product, Security, Design, Architecture and QA to deliver features that delight our customers.
• Deepen or gain expertise in identity, security, and modern cloud technologies (AWS, Azure) while working on distributed systems at scale.
• Mentor other engineers and contribute to our culture of technical excellence and continuous improvement.
• Participate in an on-call rotation to ensure our critical services remain healthy and reliable.

What you will bring:

• 4+ years of professional software development experience, or equivalent.
• Proficiency in building backend services with Node.js (JavaScript or TypeScript).
• Experience designing, building, and operating distributed systems in a cloud environment (e.g., AWS, Azure).
• A strong commitment to quality, with experience in various testing strategies (e.g., unit, integration, end-to-end).
• A product-oriented mindset, with the ability to understand customer needs and work collaboratively to find effective solutions.

Nice to have:

• Fluent at using AI tools as part of the Product Development Life Cycle (PDLC)
• Experience in the identity and access management (IAM) domain.
• Knowledge of security engineering principles and application security best practices.
• Experience working effectively in a distributed, remote-first team.

#LI-HYBRID

#LI-SH1
P23567_3269909

About the Team

As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.

Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it.

Why This Role

Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.

If you want to define what analytics looks like in an AI-first company, this is it.

What You'll Do

Build Proactive Intelligence Systems

• Design and deploy AI agents that monitor business performance and surface actionable insights without being asked

• Architect systems that shift analytics from "answering questions" to "anticipating needs"

• Create intelligent alerting that distinguishes signal from noise and recommends specific actions

Create AI-Powered Analytics Tools

• Develop natural language interfaces that let business leaders query data conversationally

• Build semantic layers that translate business concepts into data structures optimized for LLM reasoning

• Ship internal tools that transform how Opendoor makes decisions at every level

Own the Analytics-to-Action Pipeline

• Design data models that support automated analysis, pattern detection, and AI agent interactions

• Build workflows that connect insight generation to recommended actions

• Establish feedback loops that make our AI systems smarter over time

Drive Leverage Across the Business

• Identify high-value opportunities where AI can augment human decision-making

• Implement end-to-end solutions using Claude, custom agents, and modern AI tooling

• Measure impact rigorously—we care about decisions influenced, not dashboards built

We're Looking for Teammates Who Have

Technical Foundation

• 5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership

• Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption

• Strong Python proficiency for data engineering, automation, and AI agent development

• Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)

AI & Automation Expertise

• Hands-on experience building and deploying AI agents or LLM-powered applications in production

• Deep understanding of LLM capabilities, limitations, and prompt engineering best practices

• Experience architecting semantic layers or natural language interfaces for data access

• Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions

Analytics & Business Acumen

• Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions

• Strong analytical intuition—you know what questions matter before they're asked

• Experience translating ambiguous, cross-functional business problems into technical solutions

• History of operating autonomously and setting direction, not just executing on defined projects

Leadership & Influence

• Experience mentoring other analysts or engineers, formally or informally

• Demonstrated ability to influence senior stakeholders and drive alignment across teams

• Comfort operating in ambiguity and shaping strategy, not just responding to it

• Track record of building systems and processes that scale beyond yourself

Builder Mindset

• You ship products, not just dashboards 

• You'd rather build something useful in a week than something perfect in a quarter

• You measure success by business impact, not technical complexity

• You're energized by creating leverage—building once so others benefit forever

Bonus Points If You Have

• Experience in real estate, fintech, or marketplace businesses

• Background in marketing analytics, sales operations, product analytics, or pricing/economics

• History of building tools or platforms that replaced recurring analyst work

• Experience leading technical projects or small teams

AI Operations Engineer 

Team: Technical Operations - AI Operations

About the Role

At Opendoor, AI isn't a side project - it's how we work. Across the company, teams default to AI to solve problems, ship faster, and remove friction from everything we do. The AI Operations team sits at the intersection of data, AI engineering, and operational systems. 

You will help define the future of how we work across our Operations by building AI powered workflows, automation, and experiences that drive leverage across Operations. This is high agency work in high ambiguity - turning messy problems into clean solutions, prototyping fast, and shipping.

You'll design systems and influence tooling decisions that affect how our operations scale – so we need people who think critically about what they build, why, the impact it will have on our operations and how to measure success. 

We're looking for AI-native builders to join our team, blending Operational expertise and systems thinking to drive leverage across our teams. If you default to AI in how you approach work, you’ll fit right in. 

Why Join Us

• Opportunity to shape AI Operations from the ground up
• Work on cutting-edge systems directly impacting our Customers and Operations 
• Collaborate with talented engineers, data scientists, product teams, and operational teams 

What You'll Do

• Turn ambiguous business problems into clear system designs, experiments, and implementation plans
• Identify and implement opportunities to improve our operational reliability, efficiency, and cost
• Prototype and ship rapid experiments that test improvements to workflows
• Evaluate build-vs-integrate decisions for AI tools and automation, with a bias toward scalable, maintainable solutions over one-off demos
• Build and maintain AI-powered automation, internal tools to improve how we work
• Assess and pressure-test system architectures — your own and others' — for scaling limitations, failure modes, and operational sustainability
• Maintain clean, trustworthy data through thoughtful schemas, audits, and dashboards that improve visibility and decision making
• Implement monitoring and alerting for model performance, latency, and drift detection
• Troubleshoot production issues and conduct root cause analysis

• Partner with data scientists and R&D to operationalize models
• Develop runbooks, documentation, and best practices for AI Operations

What We're Looking For

AI Alchemy: You have high agency and a tinkering mindset. You default to experimenting, running variations with new tools and methods - LLMs, automation platforms, coding assistants until you can transmute data into high quality results. You're comfortable writing SQL, working with APIs, and stitching tools together to ship solutions fast.

Systems Thinking: You understand how data flows, business and systems objectives, how decisions get made, and how changes in one part of an operation ripple across others. You evaluate global vs. local trade-offs and can explain why a solution that works today might break at scale - before someone has to ask.

System Design: You take complex, messy problems and reduce them to simple, durable architecture. You know when to build custom vs. integrate existing tools, and you proactively identify scaling limitations before they become technical debt.

Communication: Articulate problems clearly to both technical and non-technical audiences. You write clean documentation, build dashboards that tell a story, and can walk a stakeholder through your design rationale.

Impact Driven: You optimize for impact over novelty, choosing the right tools for the job rather than chasing trends with a long range horizon, observability to ensure performance, scalability and resiliency 

Additionally:

• Familiarity with LLM deployment, context engineering and comfortable writing SQL 
• Understanding of machine learning lifecycle concepts: training, evaluation, deployment, monitoring
• 5+ years of experience in operations and data experience 

Tools and Technologies

You'll work across a range of tools and we expect this list to evolve. Current stack includes:

• AI coding assistants: Claude Code, Cursor, or similar 
• Rapid prototyping tools: Lovable, Replit, Figma
• Workflow automation: Gumloop, Zapier, or similar platforms
• Experience with MCP integrations is a plus
• Experience with data platforms (Snowflake, Databricks) is a plus
• Background in agentic AI frameworks or building automation flows is a plus

Bonus Domain Expertise

You don't need deep expertise in all of these, but experience in one or more is a strong signal

• Pricing and valuation
• Sales,support, partnerships 
• Home operations 
• Homes support 

About the Role

At Opendoor, AI isn't a side project - it's how we work. Across the company, teams default to AI to solve problems, ship faster, and remove friction from everything we do. The AI Operations team sits at the intersection of data, AI engineering, and operational systems. 

You will help define the future of how we work across our Operations by building AI powered workflows, automation, and experiences that drive leverage across Operations. This is high agency work in high ambiguity - turning messy problems into clean solutions, prototyping fast, and shipping.

You'll design systems and influence tooling decisions that affect how our operations scale – so we need people who think critically about what they build, why, the impact it will have on our operations and how to measure success. 

We're looking for AI-native builders to join our team, blending Operational expertise and systems thinking to drive leverage across our teams. If you default to AI in how you approach work, you’ll fit right in. 

Why Join Us

• Opportunity to shape AI Operations from the ground up
• Work on cutting-edge systems directly impacting our Customers and Operations 
• Collaborate with talented engineers, data scientists, product teams, and operational teams 

What You'll Do

• Turn ambiguous business problems into clear system designs, experiments, and implementation plans
• Identify and implement opportunities to improve our operational reliability, efficiency, and cost
• Prototype and ship rapid experiments that test improvements to workflows
• Evaluate build-vs-integrate decisions for AI tools and automation, with a bias toward scalable, maintainable solutions over one-off demos
• Build and maintain AI-powered automation, internal tools to improve how we work
• Assess and pressure-test system architectures — your own and others' — for scaling limitations, failure modes, and operational sustainability
• Maintain clean, trustworthy data through thoughtful schemas, audits, and dashboards that improve visibility and decision making
• Implement monitoring and alerting for model performance, latency, and drift detection
• Troubleshoot production issues and conduct root cause analysis

• Partner with data scientists and R&D to operationalize models
• Develop runbooks, documentation, and best practices for AI Operations

What We're Looking For

AI Alchemy: You have high agency and a tinkering mindset. You default to experimenting, running variations with new tools and methods - LLMs, automation platforms, coding assistants until you can transmute data into high quality results. You're comfortable writing SQL, working with APIs, and stitching tools together to ship solutions fast.

Systems Thinking: You understand how data flows, business and systems objectives, how decisions get made, and how changes in one part of an operation ripple across others. You evaluate global vs. local trade-offs and can explain why a solution that works today might break at scale - before someone has to ask.

System Design: You take complex, messy problems and reduce them to simple, durable architecture. You know when to build custom vs. integrate existing tools, and you proactively identify scaling limitations before they become technical debt.

Communication: Articulate problems clearly to both technical and non-technical audiences. You write clean documentation, build dashboards that tell a story, and can walk a stakeholder through your design rationale.

Impact Driven: You optimize for impact over novelty, choosing the right tools for the job rather than chasing trends with a long range horizon, observability to ensure performance, scalability and resiliency 

Additionally:

• Familiarity with LLM deployment, context engineering and comfortable writing SQL 
• Understanding of machine learning lifecycle concepts: training, evaluation, deployment, monitoring
• 5+ years of experience in operations and data experience 

Tools and Technologies

You'll work across a range of tools and we expect this list to evolve. Current stack includes:

• AI coding assistants: Claude Code, Cursor, or similar 
• Rapid prototyping tools: Lovable, Replit, Figma
• Workflow automation: Gumloop, Zapier, or similar platforms
• Experience with MCP integrations is a plus
• Experience with data platforms (Snowflake, Databricks) is a plus
• Background in agentic AI frameworks or building automation flows is a plus

Bonus Domain Expertise

You don't need deep expertise in all of these, but experience in one or more is a strong signal

• Pricing and valuation
• Sales,support, partnerships 
• Home operations 
• Homes support 

Overview:

Guidepoint's Engineering team thrives on delivering innovative technology solutions that accelerate revenue growth, reduce costs and increase efficiency and productivity. As Guidepoint works to achieve it's mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to create new products, improve existing platforms to optimize the seamless delivery of our services.

This is a hybrid position based in Toronto. 

What You'll Do:

• Design, build, and maintain scalable test automation frameworks.
• Automate functional, API, and integration test cases by developing reusable and maintainable automated scripts.
• Analyze and troubleshoot issues related to automated and load testing, propose solutions, and enhance existing scripts where needed.
• Review test results, determine root causes of failures, assess severity and scope, and guide prioritization for resolution.
• Collaborate with developers to integrate automated tests into CI/CD pipelines, ensuring quality at every stage of delivery.
• Provide regular updates on defects, regression test status, and automation progress through Jira and other reporting tools.
• Assist in planning, developing, and delivering training on test automation frameworks and tools.
• Maintain clear documentation of automation processes, templates, and best practices while driving process improvements.
• Partner closely with engineering teams, product owners, and QA peers in Agile environments to define acceptance criteria and testing approaches.
• Stay updated with technology trends and continuously improve test automation practices.
• Support functional and regression testing efforts as needed to ensure end-to-end quality.

What You Have:

• 3–6 years of experience in an SDET or QA Automation engineering role with significant hands-on API automation experience.
• Strong programming skills in Java for test automation.
• Proven experience with automated testing tools and practices (e.g., Selenium or similar) along with Web Service / API testing.
• Hands-on experience testing REST APIs using tools or frameworks such as RestAssured, Postman (automation), or similar.
• Solid understanding of HTTP protocols, API contracts, and service-oriented architectures (SOA).
• Solid understanding of the software development lifecycle (SDLC) and exposure to Agile, Waterfall, and Scrum.
• Experience with performance/load testing tools and approaches, including APIs.
• Familiarity with ticketing systems (Jira preferred).
• In-depth knowledge of SOA frameworks, processes, strategies, and approaches.
• Practical experience with CI/CD and DevOps tools, with the ability to integrate API and UI automation into delivery pipelines.
• Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, or related field.

What We Offer:  

The annual base salary range for this position is $100,000 - $130,000. 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-NJ1

#LI-hybrid

Title: Senior Software Engineer

Location: Sweden, Stockholm or Canada; Toronto (hybrid work model)

Experience: Senior

Job Function:  Engineering 

Employment Type: Full-Time

Industry: Computer Network & Security

About the position

Keyfactor is looking for a highly capable and motivated Senior (Java) Software Engineer to join one of our agile teams. Your primary focus, together with the team is to support the continued growth of our flagship PKI Product offering. You have demonstrable experience in developing professional Java-based systems and have probably had a core engineering role in a product business. While an experience or an interest in this PKI, is meriting, it is more important for us to find someone who is passionate and capable, with the right mindset to be a part of helping us scale and become increasingly self-organizing. 

Job Responsibilities

• Design, implement, and maintain software features and functionality. 
• Conduct code reviews, pull requests and ensure adherence to coding standards. 
• Work closely with other engineers and cross-functional teams to solve complex problems. 
• Contribute to the improvement of software development processes and practices. 
• Identify and resolve technical issues and performance bottlenecks. 
• Provide guidance and support to less experienced engineers. 
• Work closely with the Quality Assurance teams and participate in QA efforts when needed. 
• Participate in internal and external product support when needed. 
• Contribute to technical documentation and project reports. 
• Engage in Agile ceremonies and contribute to iterative development processes. 

Minimum Qualification, Education, and Skills

Capabilities

• Excellent knowledge of Java software development and architecture.
• Strong experience of Java Enterprise (Jakarta EE).
• Deep knowledge of databases/SQL.
• Good knowledge of Linux.
• Knowledge of web application server and container deployment.
• Good knowledge of RESTful API.
• Extensive knowledge of software development in Agile environments. 
• Knowledge and experience in developing secure software. 
• Good knowledge of quality assurance methodologies and the system development life cycle. 
• Strategic thinking, exceptional problem-solving abilities, high-level proficiency in relevant tools and technologies.
• Proficiency in design patterns, strong architectural skills, and advanced debugging abilities.
• Ability to lead complex projects, drive strategic initiatives, and influence decision-making. 
• Ability to take ownership of complex tasks, mentor team members, and drive technical improvements.
• Deep knowledge of software architecture principles, code optimization, and continuous integration practices.

Leadership & Ownership

• Ability to lead complex technical initiatives and influence technical decision-making.
• Strong sense of ownership, with the ability to drive complex tasks to completion.
• Experience mentoring engineers and driving continuous technical improvement.

Who You Are

• Open-minded, adaptable team player who actively contributes to collaboration and knowledge sharing.
• Strong communicator with excellent interpersonal skills, effective with both technical and non-technical stakeholders. 
• Self-driven, action-oriented, and comfortable working both independently and collaboratively.
• Customer-focused mindset with a passion for delivering high-quality, impactful solutions.
• Positive, solution-oriented attitude with a strong sense of accountability.
• Excellent analytical skills, able to break down complex problems into actionable solutions. 
• Highly organized and able to manage priorities in fast-paced environments.

Experience

• Proven track record of working in Agile environments, with strong familiarity with Agile methodologies, tools, and best practices. 
• Demonstrated ability to mentor and support less experienced engineers, acting as a role model within the team. 
• Extensive knowledge of industry trends, company strategy, and cross-functional processes. 
• Strong command of English, both written and spoken, with the ability to communicate clearly in a professional environment. 
• Experience or knowledge in Public Key Infrastructure (PKI) is considered a strong advantage, but not required. 
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. 
• Strong demonstrable experience in software engineering or a related field. 

  #LI-NA1

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

The Rider Quality team is a critical starting point for this mission - but we're not doing traditional QA. We’re building the future of quality engineering.

This is an opportunity to step into a mid-level role where you’ll do more than write code - you’ll help build and evolve systems that improve how engineers deliver products faster, happier, and with fewer bugs. We are shifting away from manual processes and legacy automation frameworks, and investing in Artificial Intelligence and agentic approaches to drive a meaningful “shift left” across the organization.

Success in this role is measured by tangible impact, including improvements in developer experience, engineering efficiency, and reductions in production issues.

What you'll accomplish:

• Help pave the path: Contribute to building self-service tooling and “paved paths” that reduce developer friction and improve productivity across the mobile engineering organization.
• Grow as an AI practitioner: Support the development of in-house AI tooling (using Python and Go), working on problems like test case generation, smarter test execution, and accessibility monitoring.
• Drive impact at scale: Assist in integrating intelligent systems into developer workflows to enable faster feedback and improve overall product quality.

About the Team

The Rider Quality team focuses on elevating quality, testing, and accessibility across our mobile platforms. We are evolving our strategy to leverage automation and AI to transform how testing is done.

Our philosophy is to empower developers to self-serve rather than rely on centralized bottlenecks. By building smart, automated tooling, we aim to remove friction and enable teams to move faster with confidence.

The Role

We are looking for a skilled and motivated Software Engineer to join our team. You will contribute to building the next generation of our quality platform, including AI-powered tooling for test generation, validation, and execution.

You’ll work closely with senior engineers to integrate these tools into developer workflows, helping ensure seamless adoption and measurable impact. This is a great opportunity for someone with a strong engineering foundation who is interested in automation and applying emerging technologies to real-world quality challenges.

Responsibilities:

• Contribute to the design and development of AI-powered tools and automation frameworks for testing.
• Build and enhance self-service tooling that enables developers to take ownership of quality.
• Integrate automation solutions into CI/CD pipelines to support fast and continuous feedback.
• Partner with QA and Test Automation Engineers to identify gaps and implement scalable solutions.
• Support accessibility testing and monitoring efforts across the development lifecycle.
• Collaborate with teammates and learn from senior engineers to grow your technical expertise.
• Work with technologies such as Python and Go, with exposure to mobile platforms (Swift/Kotlin).

Experience:

• Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
• 3+ years of experience in software engineering with exposure to building reliable systems.
• Interest in or exposure to AI/ML concepts, particularly in testing or automation contexts.
• Proficiency in Python and/or Go.
• Familiarity with mobile development concepts (Swift/Kotlin is a plus, but not required).
• Strong problem-solving skills and a desire to improve systems through automation.
• Good communication and collaboration skills.

Benefits:

• Extended health and dental coverage options, along with life insurance and disability benefits
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• Access to a Lyft funded Health Care Savings Account
• RRSP plan with company match to help save for your future
• In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service 
• Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
• Subsidized commuter benefits and Lyft ride credits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.  Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Our core philosophy is to empower developers to self-serve rather than be bottlenecked by a central quality team. We believe that by creating smart, automated tooling, we can eliminate common roadblocks, making developers happier and more productive.

The Rider Quality team is focused on elevating quality, testing, and accessibility across our mobile platforms. We are currently shifting our strategy to heavily leverage automation and AI to revolutionize how we approach testing. We're not doing traditional QA - we're building the future of quality engineering.

This is a chance to step into a Senior role where you won't just write code; you'll design systems that define how hundreds of engineers deliver product faster, happier, and with fewer bugs. We are fundamentally shifting away from manual processes and existing automation frameworks that struggle to keep up, betting heavily on Artificial Intelligence and agentic frameworks to drive a massive "shift left" in our organization.

Success in this role is measured by tangible impact, including increased developer satisfaction, engineering hours saved, and bugs/incidents avoided in production.

We are seeking a highly skilled and innovative Senior Software Engineer to join our team. You will be instrumental in building the next generation of our quality assurance platform. You will be responsible for designing and developing advanced AI-powered tooling for test case generation, review, and execution. Your work will directly impact our ability to provide fast, actionable feedback to developers, "shifting left" to ensure quality from the earliest stages of development.

You will play a key role in integrating these tools into our existing developer workflows, ensuring seamless adoption and maximum impact. We are looking for someone with a strong background in software engineering who is passionate about automation and can think creatively about how to apply cutting-edge technology to solve complex quality challenges.

What you'll accomplish:

• Pave the path: You will be the architect of self-service tooling, creating "paved paths" that eliminate developer friction and bottlenecks. Your work will directly increase the productivity and happiness of our entire mobile engineering organization.
• Be an AI pioneer: You will design, build, and deploy our in-house AI tooling (using Python and Go), tackling complex problems like automatic test case generation, smart test execution, and comprehensive accessibility monitoring from design to production.
• Scale and impact: You will own the strategy for integrating these intelligent systems into the developer workflow, ensuring fast, continuous feedback and ensuring a world-class, accessible experience for every rider.

Responsibilities:

• Design, build, and deploy AI-powered tools and agentic frameworks to automate test case generation, review, and execution.
• Create self-service tooling and paved paths that empower developers to own quality and receive fast feedback without waiting on manual processes.
• Integrate new automation tools and workflows into our CI/CD pipeline to provide fast, continuous feedback to engineering teams.
• Collaborate with our QA and Test Automation Engineers to understand current testing challenges and develop automated solutions.
• Architect and implement accessibility testing and monitoring solutions across the entire value stream, from design to production.
• Mentor junior engineers and contribute to a culture of engineering excellence and innovation.
• Work with technologies including Python and Go for tooling development, with an understanding of mobile platforms (Swift and Kotlin) for integration.

Experience:

• You have a Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
• You have 5+ years of experience as a software engineer with a strong background in building scalable and reliable systems.
• You have experience with or a strong interest in AI and machine learning, particularly as it applies to software testing and quality assurance.
• You are proficient in Python and/or Go.
• You have an understanding of mobile development principles, with prior experience in Swift or Kotlin a strong plus, or the ability to learn mobile concepts quickly.
• You are a proactive problem-solver with a knack for identifying inefficiencies and building automated solutions.
• You have excellent communication and collaboration skills, able to work effectively with cross-functional teams.

Benefits:

• Extended health and dental coverage options, along with life insurance and disability benefits
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• Access to a Lyft funded Health Care Savings Account
• RRSP plan with company match to help save for your future
• In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service 
• Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
• Subsidized commuter benefits and Lyft ride credits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.  Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $136,000 - CAD $170,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.

Location

This role requires working from our downtown Toronto office 4 days/week (Mon, Tues, Thurs, Fri). Candidates must be based within a 50-mile commuting distance of the office.

About the Role

At Opendoor, AI isn’t a side project - it’s how we work. Across the company, teams default to AI to solve problems, ship faster, and remove friction from everything we do. You will help define the future of how we work by building AI powered workflows, automation, and experiences that drive leverage across Finance — spanning month-end close, SEC Reporting, FP&A, Technical Accounting, Tax, Procurement, Accounts Payable, and Payroll. This is high agency work in high ambiguity - turning messy problems into clean solutions, prototyping fast, and shipping.

You'll make systems design and tooling decisions that affect how our Finance operations scale – so we need people who think critically about what and why they build, the impact it will have on our team, and how to measure success. 

We're looking for AI-native builders who know how to automate complex operational workflows. The accounting and finance domain knowledge can be learned — what matters most is that you're wired to build, that you default to AI in how you approach problems, and that you can map messy business processes into clean, automated systems. 

Why Join Us

• Build AI automation for our Financial Operations from the ground up
• Work on cutting-edge systems directly impacting key Finance processes in a public company 
• Collaborate with talented engineers and finance team members
• Access to enterprise AI tools — Claude Code, Cursor, and LLM APIs. We invest heavily in AI infrastructure so you can build and experiment.

What You'll Do

This is a hands-on individual contributor role. You will design, build, and ship automations — not just evaluate tools or write strategy decks.

• Turn complex Accounting and Finance problems into clear system designs, experiments, and implementation plans
• Build and maintain AI-powered automation that improves operational efficiency, accuracy, and scale across Finance functions
• Automate workflows (journal entries, reconciliations, flux analysis) using SQL, Python, and agentic AI
• Maintain clean, auditable data throughout automated workflows, with dashboards and controls that support both operational and compliance needs
• Partner with the internal SOX team and external auditors to ensure automated processes meet compliance standards and are well-documented
• Build and scale AI literacy across the Finance team through runbooks, documentation, best practices, and hands-on training 

What You'll Bring

• At least 5+ years of work experience building automation, operational workflows, or data systems in any industry. 
• Familiarity with LLM deployment, context engineering and comfortable writing SQL or Python code
• Understanding of machine learning lifecycle concepts: training, evaluation, deployment, monitoring

Systems Thinking: You understand how data flows through operational systems. You can look at a business process, identify the inputs, outputs, dependencies, and failure modes, and design automation around it.

System Design: You take complex, messy problems and reduce them to simple, durable architecture. 

Communication: Articulate problems clearly to both technical and non-technical audiences. You write clean documentation, build dashboards that tell a story, and can walk a stakeholder through your design rationale.

AI Alchemy: You have high agency and a tinkering mindset. You default to experimenting, running variations with new tools and methods - LLMs, automation platforms, coding assistants until you can transmute data into high quality results. You're comfortable writing SQL code, working with APIs, and stitching tools together to ship solutions fast.

Impact Driven: You optimize for impact over novelty, choosing the right tools for the job and ensure performance, scalability and resiliency.

Bonus if you have:

• Experience in Accounting or Finance 
• Comfort working in regulated or compliance-sensitive environments

Tools and Technologies

You'll work across a range of tools and we expect this list to evolve. Ideal candidates will have experience with the following tech stack:

• AI coding assistants: Claude Code, Cursor, or similar 
• Workflow automation: Gumloop or similar platforms
• MCP integrations
• Agentic AI frameworks or building automation flows 
• Data / ERP platforms: Snowflake, NetSuite, Ramp or similar 

Note: Opendoor provides enterprise-level access to all AI tools listed above. Our engineers currently consume billions of AI tokens per month across the company and are not constrained by token limits or personal account restrictions.

Compensation

Our compensation plan consists of a base salary and Opendoor equity  in addition to a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

 #LI-DM

#LI-Onsite

This is a hybrid position, currently requiring two days per week onsite at our office located at 2 Queen St. E in Toronto.

The Role

TripArc connects travel advisors to a broad network of supplier content, including tours, activities, and experiences sourced through Destination Management Companies (DMCs). DMCs are specialist operators that curate and deliver local experiences in a given destination — think guided tours, transfers, excursions, and curated itineraries. TripArc aggregates content from multiple DMC suppliers through a centralized integration layer, normalizing supplier data into a consistent format that advisors can search, quote, and book through the platform.

We’re looking for a senior developer who thrives on autonomy and wants to make a real impact. You’ll join our Technology team at TripArc, where you’ll tackle the challenge of modernizing a mature travel platform - decomposing legacy .NET systems into Azure-native microservices while keeping the business running smoothly.

This isn’t a role where you’ll wait for detailed specifications. You’ll own problems end-to-end: digging into complex business logic in existing codebases, designing solutions that bridge legacy and modern architectures, and shipping code that serves thousands of travel professionals daily. Some days you’ll be untangling decade-old stored procedures and intricate SQL schemas; others you’ll be architecting event-driven services on Azure. We need someone who finds that variety energizing.

You’ll work within our Agile framework - two-week sprints, daily stand-ups - but we expect you to drive your own work: collaborating directly with QA, Product, and stakeholders; pushing back when needed; and helping teammates grow. Documentation matters here; we use JIRA and Confluence extensively, and your tickets and design docs should be clear enough that anyone can pick up where you left off.

Key Responsibilities

• Develop well-tested, integrated software that meets high development standards - yours and ours.
• Evaluate new functionality requests on a value scale, contributing technical insights to prioritization decisions.
• Actively participate in team meetings and offer recommendations and ideas on design projects.
• Mentor intermediate and junior developers, helping them grow through code reviews and hands-on collaboration.
• Work with Product Managers and architects to estimate, plan, test, integrate, and deliver complex, scalable software.
• Create design documents and documentation to ensure efficient maintenance and knowledge continuity.
• Communicate effectively with key partners and internal users regarding timelines, technical issues, and infrastructure integration.
• Explore and make recommendations based on current trends, techniques, and technologies that could positively impact our platform.

What You’ll Do

• Design, build, and deploy features across our stack - from legacy .NET Web Forms and complex SQL schemas to modern .NET Core microservices running on Kubernetes in Azure.
• Lead migration efforts: decomposing monolithic components into loosely coupled microservices while maintaining system reliability and continuity for live clients.
• Write and optimize complex T-SQL queries and stored procedures; navigate and evolve our large, intricate database schemas. Use MongoDB for document storage where appropriate.
• Build and maintain event-driven integrations using NServiceBus and Azure Service Bus.
• Own deliverables through the full lifecycle: design, implementation, testing, Azure Pipelines deployment, and production support.
• Contribute to architectural decisions and establish patterns the broader team can adopt, particularly around microservices decomposition and Azure-native services.
• Support fellow developers through code reviews, pair programming, and knowledge sharing -elevating the whole team.
• Maintain clear documentation in Confluence and keep JIRA tickets updated so the team has full visibility into progress and blockers.
• Collaborate with Product and QA to scope work, estimate effort, and balance priorities within sprint commitments.

What We’re looking for

Must have:

• Demonstrated experience mentoring, coaching, or leading developers in a collaborative team environment.
• 5+ years of hands-on experience with C# and the .NET ecosystem, including both .NET Framework (legacy) and .NET Core.
• Strong SQL Server expertise - you’re comfortable writing and optimizing complex T-SQL queries, stored procedures, and working confidently within large, intricate legacy database schemas.
• Genuine experience with legacy codebases and a pragmatic approach to modernization - you see old code as a puzzle to solve, not a burden to complain about.
• Solid understanding of microservices architecture patterns and decomposition strategies for migrating from monolithic .NET applications.
• Experience building and consuming RESTful APIs and working with Entity Framework or similar ORMs.
• Working knowledge of Docker, Kubernetes, and Azure Cloud - you don’t need to be a DevOps engineer, but you can navigate and deploy within our Azure environment.
• Exposure to CI/CD pipelines, ideally Azure Pipelines.

Nice to have:

• Angular (2+) experience is strongly preferred. Exposure to legacy .NET Web Forms with HTML/JS is a plus.
• Familiarity with message-based architectures; NServiceBus or Azure Service Bus experience preferred.
• MongoDB experience is a plus.

How You Work

• You take initiative. When you see a problem, you investigate it. When requirements are ambiguous, you ask the right questions or make reasonable assumptions and move forward.
• You communicate clearly - whether explaining a technical trade-off to a Product Manager, documenting a design decision, or helping a junior developer work through a problem.
• You’re comfortable with ambiguity and can make progress without every detail spelled out.
• You balance speed with quality, knowing when to optimize and when “good enough” actually is good enough.
• You write documentation you’d want to read - because you know future-you (or your teammate) will thank you.

Our Technology

Our platform runs on Azure Cloud, and we're actively modernizing our architecture. Here's what you'll work with:

• Backend: .NET Core microservices alongside legacy .NET Framework applications. We've built proprietary libraries on top of the framework for our internal use. Entity Framework for data access.
• Data: SQL Server (complex schemas, heavy use of stored procedures) and MongoDB for document storage. Azure Data Factory for data orchestration.
• Messaging: NServiceBus and Azure Service Bus for event-driven communication between services.
• Infrastructure: Docker containers orchestrated with Kubernetes, deployed through Azure Pipelines. Git repos for version control.
• Frontend: Angular 17+ with Angular Material, plus legacy .NET Web Forms.
• Tools: JIRA and Confluence for project management and documentation. VS 2022, VS Code, or Rider - your choice.
• AI Tools: GitHub Copilot for AI-assisted development, and Claude, including Claude Code.
• Other: Redis for caching, GraphQL in select services.

Why This Role

You'll have real influence over how we modernize our platform. This isn't a "maintain the status quo" position - we're actively rearchitecting systems, and you'll help shape those decisions.

You'll work with a team that values pragmatism over dogma, where the goal is shipping software that works for our users, not chasing trends for their own sake.

Who Thrives Here

• People who take ownership - of their code, their commitments, and the outcomes.
• Developers who’d rather figure something out than wait to be told what to do.
• Those who see legacy code as a puzzle to solve, not a burden to complain about.
• Team players who make everyone around them better, not just themselves.
• People comfortable in a fast-paced environment where priorities sometimes shift.

Our Culture

We converted to Agile a few years ago and are now a fully enabled Agile department that prioritizes work based on the value it brings to our clients. During each two-week sprint, our developers plan, write, test, integrate, and bug fix while collaborating with skilled Business Analysts, UX designers, and product resources dedicated to the team.

We hire problem solvers, not just technicians. We look for self-motivated individuals with diverse backgrounds who can use the best tool for the job, contribute new ideas, and help bring them to life. Our team is made up of owners: people who are smart, low ego, and accountable for their results. If you want a role with real autonomy, interesting technical challenges, and the chance to shape how a platform evolves, we’d like to hear from you.

Compensation

We provide a competitive compensation package with a strong pay-for-performance rewards approach. Employees have the opportunity to participate in incentive programs and compensation tied to business and individual performance. The expected compensation range for this position is: $110,000 to $120,000.

The actual compensation may vary depending on local market conditions, geography, and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training.

#LI-Hybrid

We are committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. If you require accommodation due to a disability at any stage of our hiring process, please advise us when completing your application.

This is a hybrid position, currently requiring two days per week onsite at our office located at 2 Queen St. E in Toronto.

The Role

TripArc connects travel advisors to a broad network of supplier content, including tours, activities, and experiences sourced through Destination Management Companies (DMCs). DMCs are specialist operators that curate and deliver local experiences in a given destination — think guided tours, transfers, excursions, and curated itineraries. TripArc aggregates content from multiple DMC suppliers through a centralized integration layer, normalizing supplier data into a consistent format that advisors can search, quote, and book through the platform.

We’re looking for a senior developer who thrives on autonomy and wants to make a real impact. You’ll join our Technology team at TripArc, where you’ll tackle the challenge of modernizing a mature travel platform - decomposing legacy .NET systems into Azure-native microservices while keeping the business running smoothly.

This isn’t a role where you’ll wait for detailed specifications. You’ll own problems end-to-end: digging into complex business logic in existing codebases, designing solutions that bridge legacy and modern architectures, and shipping code that serves thousands of travel professionals daily. Some days you’ll be untangling decade-old stored procedures and intricate SQL schemas; others you’ll be architecting event-driven services on Azure. We need someone who finds that variety energizing.

You’ll work within our Agile framework - two-week sprints, daily stand-ups - but we expect you to drive your own work: collaborating directly with QA, Product, and stakeholders; pushing back when needed; and helping teammates grow. Documentation matters here; we use JIRA and Confluence extensively, and your tickets and design docs should be clear enough that anyone can pick up where you left off.

Key Responsibilities

• Develop well-tested, integrated software that meets high development standards - yours and ours.
• Evaluate new functionality requests on a value scale, contributing technical insights to prioritization decisions.
• Actively participate in team meetings and offer recommendations and ideas on design projects.
• Mentor intermediate and junior developers, helping them grow through code reviews and hands-on collaboration.
• Work with Product Managers and architects to estimate, plan, test, integrate, and deliver complex, scalable software.
• Create design documents and documentation to ensure efficient maintenance and knowledge continuity.
• Communicate effectively with key partners and internal users regarding timelines, technical issues, and infrastructure integration.
• Explore and make recommendations based on current trends, techniques, and technologies that could positively impact our platform.

What You’ll Do

• Design, build, and deploy features across our stack - from legacy .NET Web Forms and complex SQL schemas to modern .NET Core microservices running on Kubernetes in Azure.
• Lead migration efforts: decomposing monolithic components into loosely coupled microservices while maintaining system reliability and continuity for live clients.
• Write and optimize complex T-SQL queries and stored procedures; navigate and evolve our large, intricate database schemas. Use MongoDB for document storage where appropriate.
• Build and maintain event-driven integrations using NServiceBus and Azure Service Bus.
• Own deliverables through the full lifecycle: design, implementation, testing, Azure Pipelines deployment, and production support.
• Contribute to architectural decisions and establish patterns the broader team can adopt, particularly around microservices decomposition and Azure-native services.
• Support fellow developers through code reviews, pair programming, and knowledge sharing -elevating the whole team.
• Maintain clear documentation in Confluence and keep JIRA tickets updated so the team has full visibility into progress and blockers.
• Collaborate with Product and QA to scope work, estimate effort, and balance priorities within sprint commitments.

What We’re looking for

Must have:

• Demonstrated experience mentoring, coaching, or leading developers in a collaborative team environment.
• 5+ years of hands-on experience with C# and the .NET ecosystem, including both .NET Framework (legacy) and .NET Core.
• Strong SQL Server expertise - you’re comfortable writing and optimizing complex T-SQL queries, stored procedures, and working confidently within large, intricate legacy database schemas.
• Genuine experience with legacy codebases and a pragmatic approach to modernization - you see old code as a puzzle to solve, not a burden to complain about.
• Solid understanding of microservices architecture patterns and decomposition strategies for migrating from monolithic .NET applications.
• Experience building and consuming RESTful APIs and working with Entity Framework or similar ORMs.
• Working knowledge of Docker, Kubernetes, and Azure Cloud - you don’t need to be a DevOps engineer, but you can navigate and deploy within our Azure environment.
• Exposure to CI/CD pipelines, ideally Azure Pipelines.

Nice to have:

• Angular (2+) experience is strongly preferred. Exposure to legacy .NET Web Forms with HTML/JS is a plus.
• Familiarity with message-based architectures; NServiceBus or Azure Service Bus experience preferred.
• MongoDB experience is a plus.

How You Work

• You take initiative. When you see a problem, you investigate it. When requirements are ambiguous, you ask the right questions or make reasonable assumptions and move forward.
• You communicate clearly - whether explaining a technical trade-off to a Product Manager, documenting a design decision, or helping a junior developer work through a problem.
• You’re comfortable with ambiguity and can make progress without every detail spelled out.
• You balance speed with quality, knowing when to optimize and when “good enough” actually is good enough.
• You write documentation you’d want to read - because you know future-you (or your teammate) will thank you.

Our Technology

Our platform runs on Azure Cloud, and we're actively modernizing our architecture. Here's what you'll work with:

• Backend: .NET Core microservices alongside legacy .NET Framework applications. We've built proprietary libraries on top of the framework for our internal use. Entity Framework for data access.
• Data: SQL Server (complex schemas, heavy use of stored procedures) and MongoDB for document storage. Azure Data Factory for data orchestration.
• Messaging: NServiceBus and Azure Service Bus for event-driven communication between services.
• Infrastructure: Docker containers orchestrated with Kubernetes, deployed through Azure Pipelines. Git repos for version control.
• Frontend: Angular 17+ with Angular Material, plus legacy .NET Web Forms.
• Tools: JIRA and Confluence for project management and documentation. VS 2022, VS Code, or Rider - your choice.
• AI Tools: GitHub Copilot for AI-assisted development, and Claude, including Claude Code.
• Other: Redis for caching, GraphQL in select services.

Why This Role

You'll have real influence over how we modernize our platform. This isn't a "maintain the status quo" position - we're actively rearchitecting systems, and you'll help shape those decisions.

You'll work with a team that values pragmatism over dogma, where the goal is shipping software that works for our users, not chasing trends for their own sake.

Who Thrives Here

• People who take ownership - of their code, their commitments, and the outcomes.
• Developers who’d rather figure something out than wait to be told what to do.
• Those who see legacy code as a puzzle to solve, not a burden to complain about.
• Team players who make everyone around them better, not just themselves.
• People comfortable in a fast-paced environment where priorities sometimes shift.

Our Culture

We converted to Agile a few years ago and are now a fully enabled Agile department that prioritizes work based on the value it brings to our clients. During each two-week sprint, our developers plan, write, test, integrate, and bug fix while collaborating with skilled Business Analysts, UX designers, and product resources dedicated to the team.

We hire problem solvers, not just technicians. We look for self-motivated individuals with diverse backgrounds who can use the best tool for the job, contribute new ideas, and help bring them to life. Our team is made up of owners: people who are smart, low ego, and accountable for their results. If you want a role with real autonomy, interesting technical challenges, and the chance to shape how a platform evolves, we’d like to hear from you.

Compensation

We provide a competitive compensation package with a strong pay-for-performance rewards approach. Employees have the opportunity to participate in incentive programs and compensation tied to business and individual performance. The expected compensation range for this position is: $110,000 to $120,000.

The actual compensation may vary depending on local market conditions, geography, and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training.

#LI-Hybrid

We are committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. If you require accommodation due to a disability at any stage of our hiring process, please advise us when completing your application.

ABOUT THE ROLE

We are looking for a skilled Senior QA Engineer to join our team and own the quality assurance function across an active Agile delivery engagement. Reporting to the Delivery/Engineering Lead, you will be responsible for continuous test automation that runs in parallel with sprint development cycles — ensuring that every feature shipped is reliable, secure, and production-ready.

Your primary focus will span three core areas: UI automation using Cypress, API validation using Postman, and security/compliance validation through Veracode scanning. Beyond ongoing sprint support, you will serve as the dedicated QA resource during the client's formal User Acceptance Testing (UAT) phase — triaging defects, driving bug resolution, and delivering quick-fixes under real-world acceptance pressure.

This role suits a QA professional who takes ownership of quality end-to-end, can operate autonomously within a fast-moving delivery team, and understands that great QA is as much about preventing issues as catching them.

WHAT WE ARE LOOKING FOR

Must-Have

• 4+ years of experience in software QA with a strong focus on test automation in Agile/Scrum environments
• Hands-on proficiency with Cypress for UI/end-to-end test automation, including test suite architecture and maintenance
• Demonstrated experience with Postman for API testing, including collection design, environment management, and automated assertions
• Working knowledge of Veracode or equivalent SAST/DAST tools for vulnerability scanning and security validation pre-release
• Experience executing QA activities concurrently with sprint development — not just at the end of the cycle
• Proven ability to triage, prioritize, and resolve defects rapidly during UAT phases under client-facing pressure

Nice-to-Have

• Experience integrating test automation into CI/CD pipelines (Jenkins, GitHub Actions, or similar)
• Familiarity with coding standards review and quality gates as part of a release checklist
• Exposure to OWASP or other security testing frameworks

WHO YOU ARE

• Proactive by default — you don't wait to be handed a test plan; you identify gaps, build coverage, and raise risks before they become issues
• Detail-oriented under pressure — you maintain rigor during high-stakes phases like UAT without sacrificing speed or client confidence
• A clear communicator — you can translate a failing test or a Veracode flag into plain language that developers, PMs, and clients can act on
• Sprint-native — you think in iterations, adapt quickly to shifting priorities, and know how to balance thoroughness with delivery velocity
• Ownership-driven — you treat quality as your accountability, not a shared afterthought, and take pride in clean, confident releases
• Collaborative but independent — you work closely with developers and product teams, but you don't need hand-holding to deliver

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

What We Need

The NetBrain release team is responsible for management of release of NetBrain products.  We are seeking a Software Release Engineer to join our team. The Software Release Engineer will report to Architect team and will work on the design, build and implementation of CI/CD flows and installation packages. The world’s leading enterprises rely on our products to automatically diagram, troubleshoot and design their networks. The software development team at NetBrain fosters a challenging work environment and encourages innovation, teamwork, and creativity.

What You'll Do

• Proactively engage with the development teams to define the product features, specifications, and requirements.
• Design and development of web-based network management applications from high-level architecture and network infrastructure to low-level creation of site layout, user experience, database schema, data structure, workflow, graphics, unit testing, end to end integration testing, etc.
• Work closely with the product team and various development teams to ensure complete coverage of features, scalability, and capabilities of the product's thin client environment.
• Participate in the ideation, design, development, and maintenance of CI environment
• Write clean, readable, testable, and maintainable installation script
• Work with Dev/QA/DevOps team for CI/CD and building auto test environment

What You Bring

• BS minimum in the areas of Computer Science or other related fields
• 1-3 years of relevant experience in Release Engineering or DevOps
• Familiar with Linux ( Redhat ) and Windows operating system required
• Familiar with Jenkins, GitHub, VMWare, Docker required
• Familiar with CI/CD work flow required
• Proficient in programming windows batch/Powershell command, Linux Shell script and python required
• Strong verbal and written communication skills are essential, communicate with various personnel 
• Knowledge and experience of MongoDB/ElasticSearch/Redis/Rabbitmq is a plus
• Knowledge and experience of AWS infrastructure  is a plus
• Knowledge and experience of AI coding is a plus
• Manual Dexterity: Repetitive motion of wrists, hands and fingers for using a computer.
• Stationary Tasks: Sitting for extended periods, remaining in a stationary position.

What We Offer

Our comprehensive compensation package is vital in how we recognize the impact that our people make in helping us achieve our goals.

For this role, the estimated base salary range is between CAD $78,000 - CAD $93,000 plus potential bonus. The actual salary may vary based on a range of factors, including market and individual qualifications objectively assessed during the interview process.

Please note that the range provided is a guideline, and may be modified. People Experience offers a comprehensive benefits package in addition to cash compensation that includes, but is not limited to, RRSP and medical/dental coverage. Speak with your Recruiter for more details on our Total Rewards philosophy.

What We Need

NetBrain is looking for an experienced Senior QA Engineer to work on a variety of automation-related projects for our unparalleled network automation platform, powered by agentic-AI. We need a detail-oriented and logical programmer who loves to be part of a team and is comfortable collaborating across multiple areas of the organization. This role works on a hybrid schedule at our Toronto, ON office and passion for software development and automation is a must-have!

What You'll Do

• Provide guidance and support to junior QA engineers; share best practices, testing techniques, and knowledge with the QA team.
• Develop detailed test plans and strategies based on project requirements and specifications; design comprehensive test cases and scenarios to cover functional and non-functional requirements; ensure complete coverage of all the use cases, test cases, and workflows.
• Execute manual and automated tests, ensuring thorough coverage of the application; perform different types of testing such as functional, regression, performance, usability, and security testing.
• Identify areas for improvement in QA processes and methodologies; stay updated with industry trends and incorporate new tools and practices into the QA process.
• Identify, document, and track software defects using appropriate tools; collaborate with development teams to reproduce, diagnose, and resolve issues.
• Collect and analyze quality metrics to evaluate the effectiveness of testing efforts; generate test reports and provide quality assessments to stakeholders; work closely with developers, product managers, and other stakeholders to ensure alignment on quality goals; participate in design and code reviews to provide feedback from a QA perspective.
• Evaluate and recommend QA tools and technologies; Ensure the QA environment and tools are properly set up and maintained; identify and assess risks associated with software releases and deployments; develop mitigation strategies to address potential quality issues; ensure that software meets regulatory standards and industry best practices; implement and enforce QA standards and guidelines within the team.
• Understand customer requirements and ensure that deliverables meet their expectations; act as a liaison between customers and the development team to address quality concerns.
• Develop and maintain automated test scripts to improve testing efficiency; Integrate automated tests into continuous integration/continuous deployment (CI/CD) pipelines.

What You Bring

• BS in Computer Science, Electrical Engineering or equivalent experience.
• 4+ years of experience in software testing or SDET roles.
• High proficiency in computer technology and advanced programming ability with Python, Java, Go or other general-purpose programming languages.
• Practical experience testing cloud infrastructure(AWS preferred).
• Solid API/Security testing and automation skills.
• Hands-on experience with CI/CD (Jenkins, GitHub Actions, etc.) and release engineering (pipelines, artifacts, approvals, progressive delivery).
• Strong understanding of networking (TLS, DNS, load balancing).
• Experience with virtualization technologies, specifically VMware (vSphere/ESXi) and Microsoft Hyper-V.
• Experience working in high-scale SaaS environments or large-scale distributed systems.
• Strong written and verbal English communication skills.
• Keen attention to detail and excellent problem-solving skills.
• Manual Dexterity: Repetitive motion of wrists, hands and fingers for using a computer.
• Stationary Tasks: Sitting for extended periods, remaining in a stationary position.
• Able to work in our Toronto, ON office on a hybrid schedule

What We Offer

Our comprehensive compensation package is vital in how we recognize the impact that our people make in helping us achieve our goals.

For this role, the estimated base salary range is between CAD 82,000 - CAD 100,000 plus potential bonus. The actual salary may vary based on a range of factors, including market and individual qualifications objectively assessed during the interview process.

Please note that the range provided is a guideline, and may be modified. People Experience offers a comprehensive benefits package in addition to cash compensation that includes, but is not limited to, RRSP and medical/dental coverage. Speak with your Recruiter for more details on our Total Rewards philosophy.

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

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

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

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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

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

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

Overview

With the growth of our Android app, being the most used text-to-speech app in the Play Store, we find the need for a Senior Android Engineer to help us support the new user base as well as work on new and exciting projects to push us forward.   

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Owning major features and working closely with our design team - take ownership of features inside the app and become responsible of delivering high quality features
• Shape the future of our Android team
• Own, maintain and improve reliability metrics for key features
• Participate in discussions across different teams - Product, Design, Engineering
• Review pull requests, and support other teammates
• Handle critical issues or cope with unexpected challenges 
• Take ownership of feature releases and provide nightly builds for the QA team

An Ideal Candidate Should Have

• 5+ years of software engineering experience
• Familiarity with Android components
• Experience building or contributing to at least one Android app
• Product design intuition and user empathy
• Drive to push the boundaries of Android UI/UX
• Understanding of the importance of tests and how to approach writing tests
• Self-drive to improve the app and codebase above and beyond what's outlined in the spec
• Rock solid experience with Kotlin, Kotlin Coroutines, Kotlin Flow, Dagger 2, MVVM, Clean Architecture, Background Services, Music Player Service, Android Animations, Jetpack Navigation, JUnit tests
• Excellent communication skills
• User oriented problem solving approach
• Driven with continuous feedback from leaders

Bonus:

• Experience building, maintaining, or otherwise contributing to open source projects in Android
• Experience with iOS, Web or NodeJS

Technologies we use:

• Kotlin
• Kotlin Coroutines
• Kotlin Flow
• Jetpack Navigation
• Dagger 2
• Room
• Custom Views, Canvas & Paint
• Jetpack Compose
• JUnit

What We offer:

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

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

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

We are looking for inquisitive, well-rounded Senior Full-Stack and Backend engineers to join our Monetization and Core engineering teams. Working closely with product managers, designers, and backend engineers, you’ll play an important role in enabling the newest technologies and experiences. You will build robust frameworks & features. You will empower both developers and Pinners alike. You’ll have the opportunity to find creative solutions to thought-provoking problems. Even better, because we covet the kind of courageous thinking that’s required in order for big bets and smart risks to pay off, you’ll be invited to create and drive new initiatives, seeing them from inception through to technical design, implementation, and release.

We have several positions open across multiple teams, including opportunities on both the Product and Platform side of Pinterest.

What you’ll do:

• Build out the backend for Pinner-facing features to power the future of inspiration on Pinterest
• Contribute to and lead each step of the product development process, from ideation to implementation to release; from rapidly prototyping, running A/B tests, to architecting and building solutions that can scale to support millions of users
• Partner with design, product, and backend teams to build end-to-end functionality
• Put on your Pinner hat to suggest new product ideas and features
• Employ automated testing to build features with a high degree of technical quality, taking responsibility for the components and features you develop
• Grow as an engineer by working with world-class peers on varied and high impact projects
• Design, develop, and operate large scale, distributed systems and networks
• Work with Engineering customers to understand new requirements and address them in a scalable and efficient manner
• Actively work to improve the developer process and experience in all phases from coding to operation
• Leverage AI to seek faster execution (i.e. draft, prototype, outline) and explore alternative options (i.e. iterate, compare approaches)
• Leverage AI to synthesize information (summarize, distill themes) and automate repeatable tasks (documentation, reporting, QA checks)

What we’re looking for:

• 5+ years of industry backend development experience, building consumer or business facing products
• Proficiency in common backend tech stacks for RESTful API, online service, storage, caching and data processing
• Experience in following best practices in writing reliable and maintainable code that may be used by many other engineers
• Ability to keep up-to-date with new technologies to understand what should be incorporated
• Strong collaboration and communication skills
• Experience leading or owning projects, mentoring others, or driving technical thought leadership
• Experience building & operating large scale distributed systems and/or networks. Bonus points if you enjoy deploying and operating large scale workloads on a public cloud footprint
• Experience in Python, Java, C++, or Go or another language and a willingness to learn
• Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs.
• Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review).
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.
• Bonus points if you have experience with any of the following (needs vary from team to team): Developer Enablement/Productivity or Internal Tooling, CI/CD, Generative AI/LLMs, Spark/Flink/Big Data technologies, Data Science/Analytics, Building Products or Internal Tools from Scratch

This job posting is for an open vacancy. Please note that the company utilizes artificial intelligence to screen applicants for the positions.

Relocation Statement:

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

#LI-HYBRID

#LI-DS3

Movable Ink is hiring a Product Security Engineer to help secure our codebases, CI/CD pipelines, and development practices. To succeed in this role, you'll balance a security-first mindset with a practical understanding of how engineering teams ship software: finding ways to reduce risk without slowing down delivery. This is a hands-on opportunity to build and improve the automation that keeps our code and infrastructure safe, working closely with both the Security and Engineering teams. As AI coding tools and supply chain attacks increase risk across the industry, this role is critical to staying ahead of vulnerabilities before they reach production.

Responsibilities:

• Implement and maintain static application security testing (SAST) using Semgrep across our repositories
• Configure and improve software composition analysis (SCA) tooling (Dependabot) to identify vulnerable dependencies
• Manage secrets detection scanning (Trufflehog) and respond to findings
• Integrate security scanning into CI/CD pipelines (GitHub Actions) to catch issues before code is merged
• Triage and prioritize vulnerability findings, working with engineering teams to drive remediation
• Support dynamic application security testing (DAST) efforts using tools like ZAP
• Contribute to our Application Security Posture Management (ASPM) platform to centralize findings and track remediation
• Set up and configure automation scripts to support our vulnerability management practices
• Document secure coding guidelines and help educate developers on security best practices
• Evaluate and recommend new security tools as the landscape evolves

Qualifications:

• 2+ years of experience in application security, DevSecOps, or a security-focused software engineering role
• Hands-on experience with SAST, SCA, or secrets scanning tools (Semgrep, Dependabot, Snyk, or similar)
• Familiarity with CI/CD pipelines and GitHub Actions
• Understanding of common web application vulnerabilities (OWASP Top 10) and how to detect/prevent them
• Experience reading and reviewing code in at least one language (Ruby, Python, JavaScript, or Go preferred)
• Comfortable navigating codebases and working with engineering teams to explain and prioritize security findings
• Strong written communication skills for documentation and customer-facing security responses
• Self-motivated and able to manage competing priorities in a fast-paced environment

The base pay range for this position is $133,000-$173,000 CAD/year, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.

Movable Ink is hiring a Product Security Engineer to help secure our codebases, CI/CD pipelines, and development practices. To succeed in this role, you'll balance a security-first mindset with a practical understanding of how engineering teams ship software—finding ways to reduce risk without slowing down delivery. This is a hands-on opportunity to build and improve the automation that keeps our code and infrastructure safe, working closely with both the Security and Engineering teams. As AI coding tools and supply chain attacks increase risk across the industry, this role is critical to staying ahead of vulnerabilities before they reach production.

Responsibilities:

• Implement and maintain static application security testing (SAST) using Semgrep across our repositories
• Configure and improve software composition analysis (SCA) tooling (Dependabot) to identify vulnerable dependencies
• Manage secrets detection scanning (Trufflehog) and respond to findings
• Integrate security scanning into CI/CD pipelines (GitHub Actions) to catch issues before code is merged
• Triage and prioritize vulnerability findings, working with engineering teams to drive remediation
• Support dynamic application security testing (DAST) efforts using tools like ZAP
• Contribute to our Application Security Posture Management (ASPM) platform to centralize findings and track remediation
• Set up and configure automation scripts to support our vulnerability management practices
• Document secure coding guidelines and help educate developers on security best practices
• Evaluate and recommend new security tools as the landscape evolves

Qualifications:

• 2+ years of experience in application security, DevSecOps, or a security-focused software engineering role
• Hands-on experience with SAST, SCA, or secrets scanning tools (Semgrep, Dependabot, Snyk, or similar)
• Familiarity with CI/CD pipelines and GitHub Actions
• Understanding of common web application vulnerabilities (OWASP Top 10) and how to detect/prevent them
• Experience reading and reviewing code in at least one language (Ruby, Python, JavaScript, or Go preferred)
• Comfortable navigating codebases and working with engineering teams to explain and prioritize security findings
• Strong written communication skills for documentation and customer-facing security responses
• Self-motivated and able to manage competing priorities in a fast-paced environment

The base pay range for this position is $170,000-$200,000/year, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.

Blue Moon Metals is seeking an experienced and dynamic Senior Project Engineer to join our corporate office, supporting all projects across our organization. This pivotal role is responsible for providing technical expertise, project oversight, and strategic guidance to ensure successful delivery of engineering projects company-wide.  The Senior Project Engineer's immediate assignment will be to our Nussir Project in Northern Norway, requiring long-term stays or relocation to the project region.

Key Responsibilities

• Manage and coordinate engineering efforts for multiple projects, ensuring adherence to technical standards, budgets, and schedules.
• Support project managers and site teams with technical expertise, problem-solving, and risk assessment throughout the project lifecycle.
• Develop and review project scopes, specifications, drawings, and deliverables for accuracy and compliance with company and regulatory requirements.
• Collaborate with cross-functional teams—including design, procurement, construction, and quality assurance—to drive project objectives and resolve technical challenges.
• Facilitate technical meetings, workshops, and design reviews; present recommendations to senior leadership and stakeholders.
• Monitor project progress, identify deviations, and implement corrective actions as required.
• Lead initiatives to improve engineering processes, standardization, and best practices across all projects.
• Mentor and support the professional development of junior engineers and project staff.
• Stay current on industry trends, emerging technologies, and regulatory changes relevant to the metals and construction sectors.

Qualifications and Experience

• Bachelor’s degree in Engineering (Mechanical, Civil, Structural, or related discipline); Master’s degree or P.Eng designation is an asset.
• Minimum 8 years of progressive engineering experience, with at least 3 years in a senior or lead project role in metals, mining, construction, or heavy industry.
• Demonstrated success managing complex, multi-disciplinary projects from conception to completion.
• Strong understanding of project management methodologies, engineering standards, and regulatory requirements in Canada and internationally.
• Exceptional communication, leadership, and interpersonal skills.
• Proficiency with engineering and project management software (e.g., Deswik or other CAD software, MS Project, Primavera).
• Ability to travel domestically and internationally as needed.

Pay range and compensation package

Compensation details will be discussed during the interview process.

Equal Opportunity Statement

We are committed to diversity and inclusivity in our hiring practices and encourage applications from all qualified individuals.

The AI Systems team owns the core recommendations engine that powers billions of AI-driven marketing decisions daily across some of the world's largest consumer brands. As a Senior ML Platform Engineer, you will lead the evolution of this system into a modern, scalable distributed architecture - one of the most impactful technical initiatives at Movable Ink. This is an opportunity to do deep distributed systems work on a production system that directly drives revenue for our customers, while shaping the technical direction of a team working at the intersection of systems engineering and machine learning.

Responsibilities:

• Lead the architectural evolution of the core recommendations pipeline to a modern distributed architecture, delivering incremental value while maintaining production stability
• Design, build, and operate scalable, fault-tolerant backend services that power personalization at scale across content selection, send-time optimization, subject line personalization, and frequency capping
• Identify and resolve performance bottlenecks, reliability risks, and scaling limitations across the system
• Collaborate with ML engineers and product stakeholders to translate requirements into rigorous technical designs with a clear path to production
• Own key system components end-to-end - from architecture and implementation to deployment, monitoring, and incident response
• Champion engineering best practices around system design, code quality, testing, observability, and operational excellence
• Mentor engineers and contribute to a culture of technical rigor, ownership, and continuous improvement

Qualifications:

• 5+ years software engineering experience with a focus on distributed systems
• Deep experience building and operating large-scale distributed systems that are fault tolerant, highly available, and highly concurrent
• Exemplary software engineering skills (system design, unit testing, git, code review, CI/CD)
• Strong foundation in Python
• Experience with distributed data processing frameworks (e.g. Apache Spark, Apache Flink, Apache Beam); hands-on Spark experience is a plus
• Practical understanding of distributed systems fundamentals: consensus, partitioning, replication, back-pressure, idempotency, and failure handling
• Experience with a cloud provider e.g. AWS, Azure, GCP (we use Google Cloud Platform)
• Experience with modern distributed and microservice technologies (we use Kubernetes, Kafka, and gRPC)
• Familiar with Software Development Lifecycle practices, such as continuous integration/continuous delivery and automated deployment (we use Docker, Kubernetes, and GitHub Actions)
• Strong technical leadership skills with the ability to collaborate effectively, advocate for sound architectural decisions, and mentor other engineers
• Exceptional problem-solving skills, including the ability to efficiently identify, analyze, and resolve complex issues in production systems
• A willingness and eagerness to continuously learn, adapt to evolving technologies, and strive for personal and professional improvement

The base pay range for this position is $143k-$200k CAD/year, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.

Mattermost is seeking a Growth Web Engineer to own and operate a modern, AI-enabled, developer-first website that powers high-velocity campaign execution and personalized digital experiences.

This role sits at the intersection of marketing, engineering, and AI-driven workflows. You will be responsible for translating campaign strategy, intent signals, and AI-generated insights into live web experiences—quickly, reliably, and at scale.

You will play a critical role in enabling rapid experimentation, account-based experiences, and AI-assisted execution—turning the website into a core growth engine.

What You’ll Do

Daily Website Operations & Content Management

• Own the day-to-day operation of the website, including updates, edits, and publishing of pages and content
• Build, update, and launch landing pages, campaign pages, and site content on tight timelines
• Make ongoing updates to existing pages, including copy, layout, components, and integrations
• QA all changes before and after publishing to ensure accuracy, functionality, and performance
• Monitor site health and quickly resolve issues related to broken pages, components, forms, or integrations
• Support rapid turnaround requests from marketing, including same-day updates when needed
• Maintain consistency across pages, ensuring alignment with design, messaging, and conversion best practices

Own the Website as a High-Velocity System

• Manage and evolve a static-site architecture (Astro or similar)
• Build flexible, reusable components that enable rapid page creation and iteration
• Ensure the site supports frequent updates without breaking structure, performance, or tracking
• Troubleshoot and resolve rendering, formatting, and build issues quickly

Enable Personalized & ABM Experiences

• Partner with Growth Marketing and ABM to create targeted landing pages and campaign experiences for specific accounts, industries, and personas
• Translate intent signals and campaign inputs into tailored web experiences
• Build reusable templates for ABM, industry, and campaign pages to support scale and speed
• Enable rapid iteration of messaging, layouts, and CTAs based on performance and engagement

Operate AI-Assisted Page & Workflow Systems

• Use AI tools (e.g., Claude, Cursor, Copilot) to accelerate page creation and development workflows
• Translate campaign requirements into structured prompts and page outputs
• Validate and refine AI-generated code and content to ensure production quality
• Integrate the website into broader AI-driven workflows that inform lead routing, nurture behavior, and optimization
• Act on insights generated from AI systems to continuously improve page performance and relevance

Forms, Data Flow & Funnel Integration

• Build and maintain frontend form experiences within the site
• Integrate forms with Pardot using form handlers or APIs
• Ensure accurate field mapping, hidden fields, and campaign attribution
• Validate end-to-end data flow into Salesforce
• Implement and maintain conversion tracking via Google Analytics 4
• Debug and resolve issues across the full lead capture, routing, and attribution process

Integrations & Third-Party Systems

• Integrate and maintain external tools such as:
• Qualified
• Navattic
• Greenhouse
• Ensure consistent styling, performance, and tracking across all embedded systems
• Maintain reliable data flow across marketing and AI workflow systems

AEO / GEO & Technical SEO

• Structure pages and content to support both traditional SEO and AI-driven discovery (AEO/GEO)
• Implement schema, metadata, and semantic page structures to improve answer engine visibility
• Work with emerging AI search and optimization tools (e.g., Profound, AthenaHQ, or similar)
• Continuously optimize pages based on search performance, AI visibility, and engagement signals
• Monitor and address indexing and performance issues via Google Search Console

Git-Based Workflow & Deployment

• Own content and code workflows in GitHub
• Manage CI/CD pipelines and deployments (e.g., Vercel, Netlify)
• Ensure reliable publishing with minimal friction and downtime

What We’re Looking For

Core Technical Skills

• 3–6+ years in frontend, growth engineering, or similar roles
• Experience with static frameworks (Astro, Next.js, Gatsby, or equivalent)
• Strong proficiency in HTML, CSS, and JavaScript
• Experience with Git-based workflows and modern deployment pipelines

Growth & Execution Mindset

• Proven ability to launch and iterate on pages quickly in fast-paced environments
• Strong bias toward action while maintaining quality and stability
• Experience supporting marketing or growth teams (landing pages, campaigns, experimentation)

Systems & Integration Experience

• Experience working with APIs, webhooks, and third-party integrations
• Familiarity with marketing and analytics tools (Pardot, Salesforce, GA4, etc.)
• Ability to debug issues across frontend, backend, and data systems

AI & Modern Tooling

• Experience using AI tools (e.g., Claude, Cursor, Copilot) in development workflows
• Ability to generate, evaluate, and refine AI-assisted outputs
• Comfort working in environments where AI workflows are integrated into execution

Nice to Have

• Experience in B2B SaaS or enterprise marketing environments
• Familiarity with headless CMS platforms or structured content systems
• Experience implementing advanced tracking, attribution, and experimentation frameworks

Success in This Role

In your first 90 days, you will:

• Establish a fast, reliable workflow for launching and updating pages
• Deliver same-day or next-day turnaround for key campaign updates
• Enable rapid creation of personalized and ABM campaign experiences
• Implement robust form handling and ensure accurate lead flow into Pardot and Salesforce
• Integrate the website into key AI-driven workflows across marketing and sales
• Improve site flexibility through reusable components and scalable templates

Why This Role Matters

We are building a connected, AI-orchestrated growth system where insights, intent signals, and campaign strategy must translate into live digital experiences immediately.

This role ensures that happens—turning data into execution at speed and enabling personalized, high-impact experiences that drive pipeline and revenue.

Mattermost takes a market-based approach to pay and pay may vary depending on your location. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

About The Role

Join the inference model team dedicated to bring up the state-of-the-art models, numerically validating and accelerating new model ideas on wafer-scale hardware. You will prototype architectural tweaks, build performance-eval pipelines, and turn hard numbers into changes that land in production.

Key Responsibilities

• Prototype and benchmark cutting-edge ideas: new attentions, MoE, speculative decoding, and many more innovations as they emerge. 
• Develop agent-driven automation that designs experiments, schedules runs, triages regressions, and drafts pull-requests. 
• Work closely with compiler, runtime, and silicon teams: unique opportunity to experience the full stack of software/hardware innovation. 
• Keep pace with the latest open- and closed-source models; run them first on wafer scale to expose new optimization opportunities. 

Skills And Qualifications 

• 3 + years building high-performance ML or systems software. 
• Solid grounding in Transformer math—attention scaling, KV-cache, quantisation—or clear evidence you learn this material rapidly. 
• Comfort navigating the full AI toolchain: Python modeling code, compiler IRs, performance profiling, etc. 
• Strong debugging skills across performance, numerical accuracy, and runtime integration. 
• Prior experience in modeling, compilers or crafting benchmarks or performance studies; not just black-box QA tests. 
• Strong passion to leverage AI agents or workflow orchestration tools to boost personal productivity.

Assets

• Hands-on with flash-attention, Triton kernels, linear-attention, or sparsity research.
• Performance-tuning experience on custom silicon, GPUs, or FPGAs. 
• Proficiency in C/C++ programming and experience with low-level optimization. 
• Proven experience in compiler development, particularly with LLVM and/or MLIR. 
• Publications, repos, or blog posts dissecting model speed-ups. 
• Contributions to open-source agent frameworks.

The Role 

We are seeking a highly skilled and motivated Manufacturing Bring-up Engineer to join our team. As the Manufacturing Bring-up Engineer you will support our system level bring-up process execution, implementation, and evolution in the manufacturing pipeline. This is a high visibility role that requires strong technical expertise, coordination, and collaboration to deliver our product from manufacturing to the customer. 

Responsibilities 

• Support the Cerebras manufacturing bring-up process execution to configure, test, and validate system performance prior to customer shipment 

• Collaborate cross-functionally with Asic, SW, Diagnostics, and QA teams to further automate and streamline the workflow for optimal manufacturing efficiency 

• Troubleshoot and resolve technical issues during system bring-up across Asic, SW, and QA domains 

• Design and implement efficient processes to manage and track system bring-up status and progress 

• Track and report on critical bring-up metrics to drive continuous improvement  

• Implement further SW automation and efficiencies to effectively scale the manufacturing bring-up process in support of the manufacturing roadmap 

Skills & Qualifications 

• BS or MS in EE, ECE, CS or equivalent work experience 

• 3+ years of industry experience in an operations environment 

• Experience in hardware bring-up and the debug of complex systems 

• Working knowledge and experience in Asic bringup and test processes 

• Working knowledge of scripting in languages such as Python and/or Perl 

• Proven experience in system bring-up and validation of complex computer systems or equivalent technologies 

• Understanding of computer system architecture and hardware components  

• Proficiency in scripting and automation tools for system bringup  

• Excellent problem-solving and communication skills with the ability to work collaboratively in a fast-paced environment 

• Very strong coordination and collaboration skills to manage a business-critical workflow directly in support of customer demand 

Preferred: 

• Familiarity in creating test and s/w infrastructure at large scale 

• Working across global time zones  

Location 

Bangalore, India/Toronto, Canada/ Sunnyvale, California.

The base salary range for this position is $170,000 to $230,000 annually.  Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.

The Role 

We are seeking a highly skilled and motivated Manufacturing Bring-up Engineer to join our team. As the Manufacturing Bring-up Engineer you will support our system level bring-up process execution, implementation, and evolution in the manufacturing pipeline. This is a high visibility role that requires strong technical expertise, coordination, and collaboration to deliver our product from manufacturing to the customer. 

Responsibilities 

• Support the Cerebras manufacturing bring-up process execution to configure, test, and validate system performance prior to customer shipment 

• Collaborate cross-functionally with Asic, SW, Diagnostics, and QA teams to further automate and streamline the workflow for optimal manufacturing efficiency 

• Troubleshoot and resolve technical issues during system bring-up across Asic, SW, and QA domains 

• Design and implement efficient processes to manage and track system bring-up status and progress 

• Track and report on critical bring-up metrics to drive continuous improvement  

• Implement further SW automation and efficiencies to effectively scale the manufacturing bring-up process in support of the manufacturing roadmap 

Skills & Qualifications 

• BS or MS in EE, ECE, CS or equivalent work experience 

• 3+ years of industry experience in an operations environment 

• Experience in hardware bring-up and the debug of complex systems 

• Working knowledge and experience in Asic bringup and test processes 

• Working knowledge of scripting in languages such as Python and/or Perl 

• Proven experience in system bring-up and validation of complex computer systems or equivalent technologies 

• Understanding of computer system architecture and hardware components  

• Proficiency in scripting and automation tools for system bringup  

• Excellent problem-solving and communication skills with the ability to work collaboratively in a fast-paced environment 

• Very strong coordination and collaboration skills to manage a business-critical workflow directly in support of customer demand 

Preferred: 

• Familiarity in creating test and s/w infrastructure at large scale 

• Working across global time zones  

Location 

Sunnyvale, California/ Bangalore, India/Toronto, Canada.

The base salary range for this position is $170,000 to $230,000 annually.  Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.

The Senior Data Engineer, Event Data will join a newly formed team responsible for building the systems that ingest, process, and serve the massive volume of client and internal event data that powers Movable Ink's platform. This is a ground-floor opportunity to shape the architecture of a critical data domain, working with modern streaming technologies, analytical databases, and Elixir and Python to solve problems at billions-event scale. You will help define how event data flows through the platform, making it faster, more reliable, and highly available for teams and clients across the organization.

Responsibilities:

• Design, build, and maintain event streaming pipelines that ingest data from client systems, internal services, and third-party sources into the data platform
• Develop and operate analytical databases and data models optimized for high-volume event data queries and low-latency access
• Write production Elixir and Python services for event processing, transformation, and routing
• Integrate legacy event pipelines with modern streaming infrastructure, designing migration paths that minimize risk and disruption to downstream consumers
• Build and maintain monitoring, alerting, and observability tooling for event data systems, ensuring pipeline health, data freshness, and SLA compliance
• Define and enforce event schemas, data contracts, and quality standards in partnership with producing and consuming teams
• Collaborate with the data platform, product engineering, and analytics teams to understand data needs and deliver reliable event data products
• Participate in system design reviews and help establish best practices for the Events Data team

Qualifications:

• 6+ years of professional experience in data engineering or backend/systems engineering, with significant focus on event-driven and streaming data systems
• Strong proficiency in Elixir and/or Python as a primary programming language for building application connectors, data services and pipeline components
• Advanced SQL skills for data modeling, query optimization, and analytical workloads
• Hands-on experience with columnar/OLAP (Online Analytical Processing) databases at production scale
• Experience with stream processing frameworks and message brokers such as Apache Flink, Kafka, Pulsar, or Kinesis; Flink experience is a strong plus
• Demonstrated ability to integrate and migrate systems, bridging legacy and modern architectures
• Proven track record of operationalizing data pipelines, including building monitoring, alerting, SLA dashboards, and runbooks for production systems
• Experience designing and operating data systems on AWS; GCP experience is a plus
• Strong collaboration and communication skills, comfortable leading design discussions, writing technical specs, and working across team boundaries
• Experience with Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, or similar
• Experience with retail events data such as clickstream, purchase events, or product interaction data is a plus

Experience with Databricks, Flink and message brokers such as Kafka, Pulsar, or Kinesis is a plus

The base pay range for this position is $145k CAD - $185k CAD, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.

As one of our Lead Site Reliability Engineers, you will combine hands-on technical expertise with strategic technical leadership across infrastructure and software development. You will own the design and evolution of major systems within our multi-cloud, multi-region, active-active content serving platform that serves upwards of 25 Billion requests daily. Through a combination of architectural vision, cross-team collaboration and mentorship, you will help drive the reliability initiatives and define the technical strategy that scales our platform to 50 Billion requests per day and beyond.

Responsibilities:

• Define and drive the automation strategy for infrastructure tooling, establishing standards that minimize manual work, increase performance and reduce incident frequency and severity of incidents
• Own the design, reliability and evolution of core platform applications, mentoring team members on best practices and ensuring systems meet long-term business objectives
• Architect and lead the logging platform strategy, driving its design and balancing availability, retention and cost optimization
• Establish capacity planning and performance management frameworks, proactively identifying scaling opportunities and guiding teams through complex troubleshooting scenarios
• Lead cross-functional reliability initiatives with SRE and service engineering teams, influencing architectural decisions and championing practices that ensure resilient service delivery
• Demonstrate a  high level of  autonomy in anticipating, identifying, and addressing systemic weaknesses and opportunities for platform improvement without direct supervision.

Qualifications:

• Proven track record in Site Reliability or Software Engineering, designing, building, and owning scalable, resilient services with a focus on long-term reliability strategy
• Deep expertise in architecting and operating complex distributed systems such as Apache Pulsar, Apache Kafka, Grafana Loki, ScyllaDB/Cassandra, with the ability to guide teams through distributed system challenges
• Designing and owning automation strategies to manage services at scale, with expertise in establishing performance analysis frameworks and mentoring others on diagnostics and resolution
• Deep, hands-on experience (6+ years) in Site Reliability or Software Engineering, specifically leading and shaping multi-cloud architecture and strategy (AWS and GCP).
• Experience architecting and leading large-scale observability platforms, including defining observability standards and SLO frameworks. We use Prometheus and Thanos with Grafana Alloy, Loki and Tempo
• Experience leading on-call excellence, including driving improvements to monitoring and alerting strategies, automating runbooks and mentoring team members on incident response best practices. Every member of the SRE team does a week long on-call rotation
• Expert-level proficiency with infrastructure as code, including defining IaC standards and patterns across teams. We use Terraform and Chef
• Advanced Kubernetes expertise, including cluster architecture design, multi-tenancy strategies, and guiding teams on container orchestration best practices. We use EKS and GKE
• Proficiency in multiple programming languages with the ability to design and review code that meets reliability standards. We use NodeJS, Golang, Ruby, Python and shell scripting
• Advanced Linux systems expertise, with the ability to diagnose complex system-level issues and mentor others on performance tuning and troubleshooting

The base pay range for this position is $154,000-$200,000 CAD/year, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.

LAPORTE is seeking a senior pharmaceutical validation engineer or specialist with ideally at least 5 years of experience in the validation and qualification of pharmaceutical equipment to join its Greater Toronto Area team. Our validation engineer will play a key role in managing validation activities, including drafting master documents, executing protocols, and ensuring compliance with Good Manufacturing Practices (GMP).

Responsibilities:

• Drafting master validation documents (e.g., Validation Master Plan (VMP), risk analysis, cleaning matrix, User Requirements Specification (URS));
• Draft and execute equipment/system (IQ/OQ/PQ), process, and cleaning qualification protocols;
• Coordinate and ensure compliance with GMP during validation activities and general operations;
• Support our clients’ QA/Compliance teams in initiating change notices or reporting deviations to trigger CAPA, Change Control, deviations, or other relevant actions within the scope of validation activities;
• Manage client accounts.

Requirements:

• Bachelor’s or master’s degree in science, engineering, or other relevant disciplines;
• Minimum of 5 years of experience in the pharmaceutical industry, in a manufacturing setting, or in consulting;
• Strong knowledge of Good Manufacturing Practices (GMP);
• Knowledge of pharmaceutical manufacturing processes;
• Willingness to travel (to client sites).

Benefits
What we offer:

• Competitive Salary: Competitive salary commensurate with experience and industry standards;
• Health and Wellness Programs: Comprehensive group health insurance coverage from day one (medical, dental, vision, childcare);
• Retirement Plans: Employer-contributed RRSP plan at 4%;
• Flexible Work Arrangements: Hybrid work mode, with a minimum of 2 days per week in the office;
• Professional Development: A work environment that encourages empowerment and professional growth. Professional reimbursement fees (e.g., APEGA, APEGS, EGBC, etc…) covered by the company;
• Career Advancement Opportunities: Mentorship programs, training, cross-department opportunities, etc.;
• Work-Life Balance: 3 weeks of regular vacation with 1 week of paid vacation during the Christmas holidays. 1 week of Personal/Sick leave ;
• Inclusive Culture: A diverse, flexible, and non-conformist work environment that values equity, work-life balance, and promotes efficiency in daily tasks with enormous growth opportunities;
• Team-Building Activities: Lunch & Learn sessions, team retreats, outdoor activities, family get-togethers, and workshops;
• Other Benefits: Public transport and telephone reimbursement

#LI-Hybrid
#LI-AD1
#mid-senior-level
#engineering-services 

Who We Are
At Momentum Financial Services Group, we help people move forward by reimagining how money works for those who need it most. With more than 40 years of experience, we’re the team behind Money Mart—Canada’s largest non-bank branch network—and a leader in financial solutions for underserved communities.

From short-term loans to money transfers and prepaid cards, we power the products, technology, and operations that connect millions of customers each year to the money they need, when they need it.

At MFSG, we work together across teams and functions to create something bigger than ourselves: solutions that remove barriers and give people access to money they might not get anywhere else. Whether you’re solving problems, building systems, or shaping strategy, your work fuels real support for real people.

We’ve Got You Covered

• Compensation Philosophy – Competitive pay aligned with experience and market standards
• Discretionary Annual Bonus – Rewarding both individual and company performance
• Comprehensive Benefits – Health and dental coverage with premiums fully paid, plus access to an Employee Assistance Program
• Retirement Plans – Helping you plan and save for the future
• Hybrid Work Environment – Flexibility to balance remote and in-office collaboration; enjoy our corporate HQ spaces designed for teamwork and creativity
• Perks and Rewards – Tuition reimbursement, professional development support, discounts through Perkopolis, and recognition programs that celebrate your impact

The Job: Site Reliability Engineer

The Site Reliability Engineer is responsible for ensuring the availability, performance, and resilience of the organization's digital banking and financial services platforms. This role focuses on automating operational processes, defining and maintaining service-level objectives, and engineering systems that can withstand and recover from failure. You will work closely with engineering, DevOps, QA, cybersecurity, and compliance teams to ensure platform reliability meets both technical and regulatory standards, while minimizing risk to production systems through proactive monitoring, incident response, and continuous improvement of the software delivery lifecycle.

How You’ll Make an Impact: 

Reliability Planning & Governance

• Define and maintain service-level objectives (SLOs), error budgets, and reliability targets aligned with business goals and compliance deadlines.
• Oversee the end-to-end service lifecycle, from code integration to production deployment, with a focus on stability and risk reduction.
• Ensure all changes comply with relevant financial regulations.
• Conduct reliability risk and blast-radius assessments before production changes.
• Coordinate go/no-go decisions with engineering, QA, compliance, and operations stakeholders.

Execution & Delivery

• Own build, test, and deployment pipelines across multiple environments (staging, UAT, production), ensuring changes are safe, repeatable, and observable.
• Design and maintain automated CI/CD pipelines and enforce version control policies (e.g., Git Flow) to reduce toil and human error.
• Engineer zero-downtime deployments and low-impact change strategies for high-availability systems.
• Develop and maintain rollback, failover, and disaster recovery runbooks for production incidents.

Compliance & Security Oversight

• Collaborate with Information Security and Compliance teams to validate that infrastructure and deployment practices meet data protection and privacy standards.
• Maintain audit-ready documentation of change activity, incident timelines, and remediation records.
• Support internal and external audits with detailed operational and change history.

Continuous Improvement

• Drive automation, standardization, and observability improvements across the production environment.
• Conduct post-incident reviews (blameless post-mortems) to identify systemic failures and prevent recurrence.
• Contribute to DevOps and SRE maturity initiatives across engineering teams.

Stakeholder Communication

• Act as the central liaison between product, development, and compliance teams on production health and change risk.
• Communicate change scope, reliability risks, and incident status clearly to both technical and non-technical stakeholders.
• Provide regular reliability reporting, SLO performance metrics, and incident trends to senior management.

What You Bring:

Technical Proficiency:

• CI/CD tools
• Cloud platforms (AWS, Azure).
• Containers and orchestration (Docker, Kubernetes).
• Scripting languages (Python, Bash).
• Infrastructure as Code (Terraform, Ansible).
• Observability and monitoring tools

Soft Skills:

• Strong cross-functional collaboration and communication across engineering and compliance teams.
• Rigorous attention to detail with a proactive approach to risk and failure detection.
• Ability to perform under pressure and respond decisively during incidents and regulatory deadlines.

Education + Experience:

• Bachelor's degree in Computer Science, Information Technology, or related field.
• 3-5 years in Site Reliability Engineering, DevOps, or Platform Engineering within financial services or fintech.
• Hands-on experience maintaining reliability for real-time transaction systems, mobile banking, or payment gateways.
• Familiarity with regulatory compliance requirements and their operational implications for production systems.

Ready to apply your Site Reliability Engineering expertise to make a real impact? Join us and help shape the future of tech at MFSG. Apply today and let’s build the future of MFSG, together.

Committed to Equal Opportunity: 
 
MFSG is committed to accommodating applicants up to the point of undue hardship during the recruitment, assessment and selection process. If you are selected for an interview, please notify MFSG if you require accommodation in respect of the materials or procedures used at any time during this process. If you require accommodation, MFSG will work with you to determine how to meet your needs. 

Please note: The salary range for this position is between C$ 110,000 to C$ 120,000. 

As a Senior Engineer on the Data Platform team at Movable Ink, you will help design and build the systems that power how data flows through the organization. You will play a key role in developing and operating the unified data platform responsible for ingesting, processing, and exposing large volumes of data that drive Movable Ink’s products. Working closely with teammates across engineering, analytics, and infrastructure, you will build scalable ingestion pipelines and backend services that integrate data from a variety of sources while ensuring reliability, governance, and high availability across the platform. You will help evolve legacy pipelines toward modern data architectures, and help drive the unification of our products and services in how they access data. Your work will directly impact the growth and maturity of Movable Ink’s products and services.

Responsibilities:

• Support the design and delivery of data ingestion pipeline and infrastructure
• Assist in the successful migration of legacy data lifecycle management to new platform without disrupting existing data consumers
• Establish and maintain SLIs and SLOs for new ingestion and data platform with dashboards and alerting to track performance
• Build flexible data storage layer supporting a variety of use cases, e.g., transactional, analytic, and machine learning workloads
• Implement comprehensive monitoring, observability, and incident response practices for all event data pipelines and services
• Collaborate with product engineering, analytics, and machine learning teams to define contracts, functional requirements, and standards
• Design and implement a semantic metadata layer that classifies and labels data assets across both products, enabling consistent data discovery, exposure policies, and identification of cross-product data reuse opportunities
• Architect and deliver a multi-tenant data model that supports secure data sharing and isolation across clients, with controls designed to meet regulatory and government compliance requirements

Qualifications:

• Deep understanding of data governance principles and data lifecycle management, including data quality, lineage, retention, and access control
• Strong familiarity with database backend technologies (OLAP vs. OLTP) and when to apply each, with hands-on experience using data warehouse technologies (Databricks, Clickhouse, Redshift, etc) at production scale
• Strong familiarity with SQL with the ability to write and optimize queries
• Skill at building complex systems and identifying core primitives and how to apply them to meet changing business needs and future roadmap requirements.
• Experience designing and operating data systems on a major cloud provider (AWS or GCP) and working in a multi-cloud deployment environment
• Proficiency with containerization and orchestration technologies, including Docker and Kubernetes
• Proven ability to integrate systems, connecting legacy platforms with modern architectures through well-designed interfaces and migration strategies
• Effective communicator who can facilitate system design discussions, document architectural decisions, and work across team boundaries
• (Nice to have) Familiarity with Elixir for building concurrent, fault-tolerant data services
• (Nice to have) Experience with data pipeline and streaming technologies such as Airflow, Kafka, Apache Flink, or similar
• (Nice to have) Hands-on experience with columnar/OLAP databases such as Databricks or ClickHouse
• Experience designing and operating data systems on AWS; GCP experience is a plus
• Strong collaboration and communication skills, comfortable leading design discussions, writing technical specs, and working across team boundaries
• Experience with Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, or similar

The base pay range for this position is $145,000-$185,000/year, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.