About Us:

Sauce Labs is the world's largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world's top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at saucelabs.com.

The Role:

This pivotal role drives the design and implementation of high-value features and the foundational Error-Reporting/Backtrace platform. This is a strategic product in the Sauce Labs portfolio, and you will be instrumental in enabling customers to analyze multi-dimensional data and debug at scale to resolve their business-critical production issues. Your solutioning and development expertise in native, low-level systems (Rust, C/C++) will accelerate the evolution of this intricate product with a highly performant custom columnar database. Core Linux backend skills and a DevOps perspective are essential to design and evolve a scalable, maintainable platform. You will collaborate remotely with a global engineering team on new capabilities, enhancing backend performance, reliability, data analysis, and user experience. If you have compelling code to share, we would love to see it—we hire for demonstrable talent first!

Responsibilities:

• Extend core subsystems including work scheduling, networking (HTTP), storage, indexing, and data analysis. Performance-sensitive components are primarily in Rust and C/C++.
• Enhance platform observability by integrating bespoke and off-the-shelf OpenTelemetry capabilities, encompassing metrics, tracing, and profiling, and evolving Grafana dashboards to provide deeper insights.
• Collaborate with business and management functions to develop and execute the product roadmap.
• Provide technical leadership, advising on investments, leading solution design and development, and mentoring junior staff.
• Participate in on-call rotation.
• Contribute to improvements in the software development lifecycle for increased velocity and quality.

Required Skills:

• 7+ years of development experience in C/C++ and Rust.
• Demonstrable skill in developing specialized data structures, algorithms, and supporting infrastructure for real-world workloads.
• Solid experience with cloud platforms (GCP, AWS).
• Proficiency with live and post-mortem debugging tools.
• Expertise in the development of AI-driven features, as well as agents and skills integrated with internal workflows.
• Strong experience managing/scripting CI and scaling infrastructure using DevOps tools like Jenkins, Docker, Kubernetes, and Salt.
• You are autonomous, take initiative, and act on it.
• You stay current with the field, having read at least 2 relevant computer systems papers in the last year.
• You have a proven track record of collaboration and pragmatism, leveraging the strengths of others to build great products.

This Saucer can be found globally.  We believe in the power of in-person collaboration to build strong relationships and drive innovation. To support this, our office models are tailored by region:

• Poland, Berlin, and the US: We operate on a hybrid basis, offering flexibility alongside collaboration with in-office days as required.
• India: We operate in-office 5 days a week to maximize team synergy and real-time collaboration and mentorship.

Regardless of location, Saucers living near an office are expected to be present and engaged with their local teams.

Please note our privacy terms when applying for a job at Sauce Labs.

Sauce Labs is proud to be an Equal Opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity/expression/status, sexual orientation, age, marital status, veteran status or disability status.

Security responsibilities at Sauce

At Sauce, we will commit to supporting the health and safety of employees and properties, partnering with internal stakeholders to learn and act on ever-evolving security protocols and procedures. You’ll be expected to fully comply with all policies and procedures related to security at the department and org wide level and exercise a ‘security first’ approach to how we design, build & run our products and services.

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

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

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

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

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

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

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

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

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

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

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

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

Joining Collibra’s Customer Support Team

Collibra is looking for a Senior Customer Support Engineer II to identify code defects in Collibra’s software platform based on your investigation of customer-reported problems.

The Customer Support  Team responds to customer issues, identifies the root cause and applies workarounds. Reporting to the Customer Support Manager, you will be part of a growing team of engineers focused on improving customer satisfaction.

As an engineer, you will focus on the edge cases, the “what if”. We need your knowledge to find the root causes and we need your experience and skill-set to resolve them.

This is a hybrid role based in our Raleigh office. Our hybrid model means you’ll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team.

Senior Customer Support Engineers at Collibra are responsible for

• Analyzing complex customer issues to determine the root cause.
• Improving observability by identifying logging and monitoring improvements and unblocking customers using our software.
• Collaborating across Collibra’s Product Engineering teams to understand unclear functional requirements.

You have

• Professional experience including the following:
• 2+ years of experience developing Java-based applications (Scala is a plus).
• 2+ years of experience developing enterprise grade Python applications leveraging APIs.
• 2+ years of experience with SQL data sources.
• UNIX, Docker, and networking (TCP/IP, TLS) experience are a plus.
• Knowledge of OO principles, Design Patterns, Test-Driven Development and clean code principles.
• Experience maintaining software running in production.
• A bachelor’s degree or equivalent work experience is required.

You are

• An investigator, excited by the challenge of looking for bugs and resolving them.
• Focused on quality and knowledge of “how” something works, especially what to test in order to execute change with confidence.
• Comfortable speaking and writing in English. We are a global team!
• Because this role supports the U.S. Government, it is required that this candidate be a U.S. Citizen who resides on U.S. soil.
• Willing to be on-call as part of our L3 on-call rotation for product releases and priority issues.
• Motivated by the challenge of scaling a growing company.
• Collaborative - we work cross functionally with many other teams.

Reporting to Collibra’s Manager, Customer Support your measures of success are

• Within your first month, you will gain an understanding of the Collibra application ecosystem, our personas and the most common user workflows associated with them.
• Within your third month, you will be an active member of our team, and be comfortable investigating issues on your own.
• Within your sixth month, you will be interacting with other engineering teams to discuss improvements. You will have a broad understanding of the use cases our application provides and detailed understanding in some of the more complex parts of the system.

Compensation for this role 

The standard base salary range for this position is $104,000 - $130,000  per year. This position is not eligible for additional commission-based compensation. Salary offers are based on a combination of factors, including, but not limited to, experience, skills, and location.

In addition to base salary, we offer equity ownership at every level, bonus potential, a Flex Fund monthly stipend, pension/401k plans, and more.

Joining Collibra’s Customer Experience Testing Team

We're looking for a talented Software Development Engineer in Test (SDET) who will play a crucial role in ensuring the quality, scalability, and reliability of our software applications. In this role, you will work autonomously to drive quality initiatives, advocate for a shift-left testing approach, and consistently meet high-performance standards.  You will be responsible for testing the installation and deployment of software across multiple cloud providers, as well as  defining, creating, and executing both manual and automated tests for complex customer user journeys. You will experiment with a variety of testing tools, promote quality awareness across the Product and Engineering organization, and build scalable pipelines and frameworks that align with our business environment.

This is a hybrid role based in our Raleigh office. Our hybrid model means you’ll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team.

SDETs at Collibra are responsible for

• Defining, creating, and executing manual and automated tests for customer user journeys, ensuring they accurately reflect real-world customer use cases.
• Using, developing, and executing robust automation scripts and scalable frameworks (rather than relying solely on out-of-the-box tools) using Cypress, Playwright, Rest Assured, JMeter, and Selenium.
• Building, maintaining, and integrating automated tests into CI/CD pipelines using GitHub Actions and Jenkins, while managing test environments with containerization technologies (Docker, Kubernetes, Helm).
• Combining strong coding skills with exploratory and manual testing sessions to catch edge cases that automation might miss. You will also define, create, and maintain complex test data.
• Utilizing observability tools (Grafana, Datadog) to analyze test results, identify bottlenecks, and collaborate with system architects and engineers to optimize software and hardware configurations.
• Partnering with Engineering, Product, and Architecture teams to understand customer context, drive shift-left testing practices, and support peers in expanding their testing capabilities.
• Applying the scientific method (observe, research, hypothesize, test, conclude) to systematically break down complex configurations into manageable tasks. You will track issues to resolution, report on quality metrics, and integrate emerging trends to enhance ROI.

You have

• 4+ years of experience in software testing and test automation, preferably within a SaaS or enterprise software environment.
• A bachelor’s degree in a related field or equivalent working experience.
• Strong programming skills in Java, Python, and/or JavaScript/TypeScript to build custom testing infrastructure.
• Hands-on experience with industry-standard test automation tools (Cypress, Playwright, Selenium, Rest Assured, JMeter, etc.).
• Strong understanding of DevOps principles and CI/CD pipelines (GitHub Actions, Jenkins, Gradle). Experience working with Cloud platforms (AWS, Google Cloud) and containerization technologies (Docker, Kubernetes). Familiarity with GovCloud/FedRAMP environments is a strong plus.
• A critical mindset to discern what to automate and what not to, strategically sampling critical tests with a focus on balancing risk, cost, and value.
• Strong analytical capabilities to identify flaws in the testing process, toolset, or infrastructure, and the ability to propose and drive necessary improvements.
• This position is not eligible for visa sponsorship.
•  A bachelor’s degree or equivalent related working experience is required.

You are

• Because this role will support the US government, it is required candidates be a US citizen who resides on US soil.
• An independent, critical thinker who possesses natural curiosity, keen attention to detail, and the ability to act as a solution-oriented professional who uses out-of-the-box thinking to solve real-world performance challenges.
• A collaborative communicator who can demonstrate open, clear, and effective communication (verbal, technical, and written) and enjoys collaborating with globally distributed, cross-functional teams.
• Keen to explore how you can utilize AI tools and coding assistants to increase efficiency in testing and automation.
• Accustomed to working in an Agile/Kanban environment, you can prioritize workloads and see the big picture when troubleshooting quality issues.
• Passionate about expanding testing awareness across the engineering department and mentoring your peers to elevate the team's overall quality standards.

Measures of success

• Within your first month: You will complete onboarding, establish your local development environment, and gain a foundational understanding of our testing framework architecture and core customer user journeys.
• Within your third month: You will be actively delivering robust automation scripts and integrating these tests into our CI/CD pipelines to ensure continuous quality feedback.
• Within your sixth month: You will lead the end-to-end automation strategy for critical user journeys, utilizing observability data to proactively eliminate bottlenecks and drive measurable improvements in overall application quality and customer satisfaction.

Compensation for this role

The standard base salary range for this position is $116,000.00 - $145,000.00 per year.This position is not eligible for additional commission-based compensation. Salary offers are based on a combination of factors, including, but not limited to, experience, skills, and location.

In addition to base salary, we offer a competitive total rewards package, including bonus potential, equity for eligible roles, a Flex Fund monthly stipend, pension/401k plans, and more.

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

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

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

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is 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

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

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

Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimize operations across channels, scale product offerings and enhance margins.

Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimized consumer shopping journeys from beginning to end.

Overview

The Cloud Engineering team in the Platform Engineering organization operates to build a highly available, secure, and scalable cloud infrastructure.

As an Infrastructure Engineer on this team, you ensure that our cloud infrastructure platform is continuously improved, secure, and scaled to meet our clients' needs.  Your responsibilities include creating, monitoring, and automating cloud infrastructure and pipelines, collaborating with engineering teams, security and other platform teams to deliver highly reliable and secure offerings, and providing support for existing solutions and consulting on how to automate their workloads on cloud infrastructure. From code, to compile, to test, to deployment, you are responsible for the software lifecycle beyond just writing code.   In this role, you support and operate a physical datacenter located in Raleigh, North Carolina.

Responsibilities

• Support and operate physical datacenter infrastructure, including servers, storage, networking, and rack-and-stack activities.
• Manage and maintain VMware vSphere / ESXi environments, including host builds, upgrades, patching, and troubleshooting.
• Administer enterprise storage platforms such as Pure Storage and/or NetApp, including provisioning, snapshots, replication, and performance monitoring.
• Perform hardware lifecycle activities: installs, replacements, firmware upgrades, and decommissioning.
• Participate in planned maintenance, change control, and incident response for datacenter systems.
• Build infrastructure-as-code software and other tools providing a foundation for software teams to rapidly build large scale cloud systems.
• Establish a golden AMI pipeline and maintain a continuous patching schedule for all cloud resources.
• Operationalize the resiliency and disaster recovery processes for IaaS landscape.
• Automation of key operating and security processes in IaaS workloads.
• Infrastructure management via Configuration Management platform to ensure security and full stack automation for applications, drive the use of the platform and standards for all applications.
• Drive investigation and resolution of security incidents impacting cloud infrastructure.
• Work closely with security team to address vulnerabilities, evidence gathering and securing our infrastructure.
• Handle the security hardening efforts for major OS distributions to ensure overall compliance and a streamlined service for internal clients.
• Participate in the rotating on-call schedule. Ensure that user emergencies, platform alerts, and support requests are addressed.
• Identify and solve problems in cloud and hybrid environments and the ability to create and implement a new solution from scratch.
• Mentor and develop less experienced engineers.

Qualifications 

Minimum Qualifications  

• 3+ years’ hands-on experience working in a physical datacenter environment.
• Minimum of 2 days on-site in our data center, additional may be required based on business needs.
• Based in the Raleigh-Durham (RDU) area, North Carolina.
• Strong experience with VMware (vSphere / ESXi) in a production setting.
• Experience administering enterprise storage platforms, preferably Pure Storage and/or NetApp.
• Familiarity with server hardware (Dell, HPE, or similar), RAID, BIOS/firmware management.
• Experience following change management and operational best practices.
• Knowledge and experience of high availability and scalability.
• Experience with AWS foundations, including computer, networking, storage, and security.
• Experience architecting containerization solutions in cloud environments like ECS or EKS.
• A strong background in systems engineering, especially with tools like Docker and Kubernetes in Linux and containerized environments
• Expertise in implementing content delivery solutions at the edge.
• A thorough understanding of IAM roles, access management, DNS, load balancing, routing, firewalls, and monitoring tools for cloud and hybrid environments
• Experience deploying and supporting AWS network services, including VPC, Subnets, Route Tables, NACLs, Security Groups, TGW, GWLB, VPC Endpoints, Route53.
• Knowledge of AWS compute, data sources, security technologies, services including EC2, S3, IAM, ECS, EKS, Load Balancers, SCP, RAM, CloudWatch, CloudTrail, WAF.
• Experience architecting and securing regulated enterprise-class cloud services with compliance frameworks like SOC2, NIST, and ISO.
• Experience with logging and monitoring systems like Datadog and Cloudwatch.
• Familiarity and ability to diagnose large systems - how they work and can be operated on a large scale, edge cases, failure modes, behaviors.
• Proficient in writing code/scripting in languages like.
• Automation of infrastructure with CDK, Terraform, and Ansible, as well as containerization using EKS or ECS.
• Ability to diagnose complex distributed systems problems whether it be system, network or code.
  
  

Preferred Qualifications 

• You have a bachelor's degree, or higher, in Computer Science or related field.
• You are capable of operating in a highly collaborative/Agile environment with other team members as well as all software engineering.
• You have the ability to operate independently and self-prioritize work. You are a team player, and an exceptional communicator.
• You enjoy learning new technologies and help foster a collegial environment of continuous improvement and innovation.

Travel Required

Up to 10%

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

What it’s like to work at Rithum 

When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.

As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.

At Rithum you will:

• Partner with the leading brands and retailers.
• Connect with passionate professionals who will help support your goals.
• Participate in an inclusive, welcoming work atmosphere.
• Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
• Receive industry-competitive compensation and total rewards benefits.

We believe in transparency and fairness in our compensation practices.

For this position, the expected base pay range is: $100,000-$145,000 per year. 

This range represents the base pay for the role across all U.S. locations and is determined based on market data, internal equity, and experience. Final compensation may vary depending on geographic location, skills, and relevant experience.In addition to base pay, we offer a discretionary bonus for non-sales roles, a comprehensive benefits package, and, where applicable, sales incentives.

For this position, the expected discretionary bonus is 10% of the annual base salary.

 Benefits 

• Medical, dental and vision benefits: Affordable health care plans and company HSA contributions, starting on Day 1
• A 6% 401(k) match
• Competitive time off package with 20 days of Paid Time Off, 9 Company-Paid holidays, 2 paid floating holidays, 7 paid sick days, 2 Wellness days, and 1 Paid Volunteer Day; at 3 years of service PTO increases to 22 days, and at 5 years it increases to 25 days
• 12 weeks primary caregiver leave & 4 weeks secondary caregiver leave
• Accident, critical illness, and hospital indemnity insurance
• Pet insurance
• Legal assistance and identity theft insurance plans
• Life insurance 2x salary
• Access to the Calm app and the Employee Assistance Program
• $65/month Remote work stipend for internet
• Culture and team-building activities
• Tuition assistance
• Career development opportunities
• Charitable contribution match up to $250 per year

Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.

We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.

Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimize operations across channels, scale product offerings and enhance margins.

Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimized consumer shopping journeys from beginning to end.

Overview

The Cloud Engineering team in the Platform Engineering organization operates to build a highly available, secure, and scalable cloud infrastructure.

As an Infrastructure Engineer on this team, you ensure that our cloud infrastructure platform is continuously improved, secure, and scaled to meet our clients' needs.  Your responsibilities include creating, monitoring, and automating cloud infrastructure and pipelines, collaborating with engineering teams, security and other platform teams to deliver highly reliable and secure offerings, and providing support for existing solutions and consulting on how to automate their workloads on cloud infrastructure. From code, to compile, to test, to deployment, you are responsible for the software lifecycle beyond just writing code.   In this role, you support and operate a physical datacenter located in Raleigh, North Carolina.

Responsibilities

• Support and operate physical datacenter infrastructure, including servers, storage, networking, and rack-and-stack activities.
• Manage and maintain VMware vSphere / ESXi environments, including host builds, upgrades, patching, and troubleshooting.
• Administer enterprise storage platforms such as Pure Storage and/or NetApp, including provisioning, snapshots, replication, and performance monitoring.
• Perform hardware lifecycle activities: installs, replacements, firmware upgrades, and decommissioning.
• Participate in planned maintenance, change control, and incident response for datacenter systems.
• Build infrastructure-as-code software and other tools providing a foundation for software teams to rapidly build large scale cloud systems.
• Establish a golden AMI pipeline and maintain a continuous patching schedule for all cloud resources.
• Operationalize the resiliency and disaster recovery processes for IaaS landscape.
• Automation of key operating and security processes in IaaS workloads.
• Infrastructure management via Configuration Management platform to ensure security and full stack automation for applications, drive the use of the platform and standards for all applications.
• Drive investigation and resolution of security incidents impacting cloud infrastructure.
• Work closely with security team to address vulnerabilities, evidence gathering and securing our infrastructure.
• Handle the security hardening efforts for major OS distributions to ensure overall compliance and a streamlined service for internal clients.
• Participate in the rotating on-call schedule. Ensure that user emergencies, platform alerts, and support requests are addressed.
• Identify and solve problems in cloud and hybrid environments and the ability to create and implement a new solution from scratch.
• Mentor and develop less experienced engineers.

Qualifications 

Minimum Qualifications  

• 3+ years’ hands-on experience working in a physical datacenter environment.
• Minimum of 2 days on-site in our data center, additional may be required based on business needs.
• Based in the Raleigh-Durham (RDU) area, North Carolina.
• Strong experience with VMware (vSphere / ESXi) in a production setting.
• Experience administering enterprise storage platforms, preferably Pure Storage and/or NetApp.
• Familiarity with server hardware (Dell, HPE, or similar), RAID, BIOS/firmware management.
• Experience following change management and operational best practices.
• Knowledge and experience of high availability and scalability.
• Experience with AWS foundations, including computer, networking, storage, and security.
• Experience architecting containerization solutions in cloud environments like ECS or EKS.
• A strong background in systems engineering, especially with tools like Docker and Kubernetes in Linux and containerized environments
• Expertise in implementing content delivery solutions at the edge.
• A thorough understanding of IAM roles, access management, DNS, load balancing, routing, firewalls, and monitoring tools for cloud and hybrid environments
• Experience deploying and supporting AWS network services, including VPC, Subnets, Route Tables, NACLs, Security Groups, TGW, GWLB, VPC Endpoints, Route53.
• Knowledge of AWS compute, data sources, security technologies, services including EC2, S3, IAM, ECS, EKS, Load Balancers, SCP, RAM, CloudWatch, CloudTrail, WAF.
• Experience architecting and securing regulated enterprise-class cloud services with compliance frameworks like SOC2, NIST, and ISO.
• Experience with logging and monitoring systems like Datadog and Cloudwatch.
• Familiarity and ability to diagnose large systems - how they work and can be operated on a large scale, edge cases, failure modes, behaviors.
• Proficient in writing code/scripting in languages like.
• Automation of infrastructure with CDK, Terraform, and Ansible, as well as containerization using EKS or ECS.
• Ability to diagnose complex distributed systems problems whether it be system, network or code.
  
  

Preferred Qualifications 

• You have a bachelor's degree, or higher, in Computer Science or related field.
• You are capable of operating in a highly collaborative/Agile environment with other team members as well as all software engineering.
• You have the ability to operate independently and self-prioritize work. You are a team player, and an exceptional communicator.
• You enjoy learning new technologies and help foster a collegial environment of continuous improvement and innovation.

Travel Required

Up to 10%

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

What it’s like to work at Rithum 

When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.

As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.

At Rithum you will:

• Partner with the leading brands and retailers.
• Connect with passionate professionals who will help support your goals.
• Participate in an inclusive, welcoming work atmosphere.
• Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
• Receive industry-competitive compensation and total rewards benefits.

We believe in transparency and fairness in our compensation practices.

For this position, the expected base pay range is: $100,000-$145,000 per year. 

This range represents the base pay for the role across all U.S. locations and is determined based on market data, internal equity, and experience. Final compensation may vary depending on geographic location, skills, and relevant experience.In addition to base pay, we offer a discretionary bonus for non-sales roles, a comprehensive benefits package, and, where applicable, sales incentives.

For this position, the expected discretionary bonus is 10% of the annual base salary.

 Benefits 

• Medical, dental and vision benefits: Affordable health care plans and company HSA contributions, starting on Day 1
• A 6% 401(k) match
• Competitive time off package with 20 days of Paid Time Off, 9 Company-Paid holidays, 2 paid floating holidays, 7 paid sick days, 2 Wellness days, and 1 Paid Volunteer Day; at 3 years of service PTO increases to 22 days, and at 5 years it increases to 25 days
• 12 weeks primary caregiver leave & 4 weeks secondary caregiver leave
• Accident, critical illness, and hospital indemnity insurance
• Pet insurance
• Legal assistance and identity theft insurance plans
• Life insurance 2x salary
• Access to the Calm app and the Employee Assistance Program
• $65/month Remote work stipend for internet
• Culture and team-building activities
• Tuition assistance
• Career development opportunities
• Charitable contribution match up to $250 per year

Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.

We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.

At Target RWE, our mission is driven by a deep commitment to people, the patients we serve, the partners we collaborate with, and the dedicated team members who power our work. As a purpose-driven organization, we leverage real-world data to advance clinical research and inform better healthcare decisions. We foster a collaborative environment where every voice is heard, every idea has an impact, and every contribution helps improve lives. If you're seeking a place where your work truly matters, join us to help advance science securely and responsibly.

Overview

• Seeking a Senior DevSecOps Engineer to secure internal infrastructure, cloud services, deployment tooling, and development workflows
• Lead design, implementation, and continuous improvement of secure, scalable production platforms
• Embed security across the full software development lifecycle (SDLC)
• Partner closely with engineering, infrastructure, and application teams

What You’ll Do

• Perform advanced vulnerability assessments across cloud, infrastructure, and application platforms
• Partner with application owners to prioritize and drive remediation efforts
• Design, implement, and optimize secure CI/CD pipelines and deployment tooling
• Integrate security into the SDLC (code scanning, secrets management, policy enforcement)
• Apply best practices for system hardening, configuration management, IAM, and least-privilege access
• Define and evolve security controls, standards, and guardrails across the organization
• Leverage modern cloud and DevOps technologies to build secure, scalable infrastructure
• Lead and support security incident response, including root cause analysis and long-term remediation
• Mentor engineers and promote a strong security-first culture
• Develop and maintain security documentation, runbooks, and internal knowledge sharing

What You’ll Bring

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
• 5+ years of experience in security engineering, DevSecOps, or infrastructure security
• Hands-on experience securing cloud platforms (AWS preferred) at scale
• Experience securing CI/CD pipelines and containerized environments (Docker, Kubernetes)
• Strong experience with Infrastructure as Code (Terraform, CloudFormation, Chef, Puppet, Ansible, or Salt)
• Solid networking fundamentals (VPCs, ACLs, subnets, DNS, routing, segmentation)
• Experience with Linux systems and relational databases (PostgreSQL)
• Proficiency in at least one scripting language and Git-based workflows
• Experience with security tooling (SAST, DAST, dependency scanning, secrets management)
• Strong collaboration skills in distributed teams
• Clear communication, ownership mindset, and strong problem-solving abilities
•  

Nice to Have

• Experience in regulated environments (healthcare, life sciences, or similar)
• Advanced networking and cloud security experience (firewalls, zero-trust architectures)
• Familiarity with CSPM tools (Wiz, Rapid7, or similar)
• Kubernetes security and runtime protection experience
• Experience with Jira and Confluence
• CISSP, AWS Security Specialty, or similar certifications

If you’re excited to help protect systems that support meaningful healthcare research, where your expertise directly contributes to trust, compliance, and patient impact, Target RWE is the place for you. We’re building something important together, and we’d love for you to be a part of it.

What We Offer You

• Hybrid work — 3 days/week in our brand-new office!
• Comprehensive health, dental, and vision coverage for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave

Hybrid role: Located in Research Triangle Park, North Carolina

Company Profile:
CaptiveAire is the nation's leading manufacturer of commercial kitchen ventilation systems, and now provides a complete solution of fans, heaters, ductwork and HVAC equipment. For over 40 years, we've led the industry with innovative technologies, unmatched service, competitive pricing, and rapid lead times.

CaptiveAire maintains a network of over 90 sales offices in the U.S. and Canada and six strategically located manufacturing plants in North Carolina, Iowa, Oklahoma, California, Pennsylvania and Florida.

Job Description

CaptiveAire is looking for a strong Senior Software Engineer to join the CASLink team onsite at our corporate location in Raleigh. CASLink is an IoT Solution serving as CaptiveAire's proprietary Building Management System.  This role requires an expert .Net Software Engineer with extensive experience in distributed applications.

 Responsibilities

• Contribute to the development, design, and maintenance of Microservices and REST APIs.
• Assist in upgrading Microservices and REST APIs from .Net Framework to the latest .Net.
• Assist in converting Microservices to Microsoft Orleans where applicable.
• Assist in upgrading infrastructure such as RabbitMQ, MongoDB, SQL Server when required.
• Design and code new Features.
• Assist in expanding on or rewriting existing Features where necessary.
• Diagnose and resolve performance issues.

Requirements

• 15+ years overall software development experience
• 10+ years C#
• Experience in highly concurrent, distributed, and event-driven applications
• Microservices
• Messaging/Streaming technologies (RabbitMQ or comparable)
• RESTful APIs
• Document DBs (MongoDB or comparable)
• Microsoft SQL Server
• Cloud platforms (Microsoft Azure or comparable)
• Hybrid Cloud applications
• Version control systems (Git or comparable)
• CICD (TeamCity, Octopus Deploy or comparable)

Preferred Experience

• Actor frameworks (Microsoft Orleans, Dapr, or comparable).
• Web socket technologies (SignalR or comparable).
• Metadata driven applications.
• Identity solutions (IdPs, OAuth, OIDC, SAML).

Bonus Skills

• Linux
• Docker
• Kubernetes
• Azure IoT Hub
• Azure IoT Edge
• Digital Twins
• Microsoft Fabric
• Apache Spark
• AI
• Angular
• Modbus
• BACNet
• OPC UA

Benefits:

• Paid holidays
• Paid time off (PTO) based upon tenure
• Medical, dental and vision insurance
• Disability & life insurance based upon election of medical insurance
• 401k with employer match
• Flexible spending account (FSA)
• Relocation assistance

Salary:

Competitive Salary and monthly bonus based on productivity and profits.

Captive-Aire Systems, Inc. is proud to be an equal opportunity workplace. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, uniformed services, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

#P1

#LI-TL1

Who We Are:

At Bandwidth, your music matters when you are part of the BAND.  We celebrate differences and encourage BANDmates to be their authentic selves.  #jointheband

What We Are Looking For:

As an Applied AI Engineer on the Corporate IT Engineering team, you’ll identify where AI can create real leverage across our internal systems and operations, and build it. You’ll work inside a team that owns a broad and complex infrastructure footprint, embedding AI into the platforms and workflows that keep Bandwidth running. This is an infrastructure and systems role with a deep AI focus.

What You'll Do:

• Own and extend existing AI platforms and tooling, improving reliability, expanding capabilities, and integrating them more deeply with internal systems.
• Architect and build internal API layers and shared services that allow AI workflows and internal applications to publish, version, and retrieve outputs across the engineering ecosystem.
• Identify and build AI-powered tooling that creates leverage across the Corporate IT Engineering stack, including infrastructure, identity, monitoring, and automation platforms.
• Develop and iterate on proof-of-concepts that demonstrate how AI can augment or automate internal workflows; from anomaly detection in infrastructure logs to AI-assisted documentation and IT troubleshooting.
• Containerize and orchestrate AI workloads using Docker and Kubernetes, ensuring reliable and reproducible deployments across environments.
• Automate infrastructure provisioning and configuration using Terraform and Ansible, following infrastructure-as-code best practices.
• Establish AI development patterns and best practices across the Corporate IT Engineering organization, helping teams adopt AI capabilities effectively and responsibly.
• Stay current with the evolving AI and MLOps landscape and bring relevant advancements back to the team.

What You Need:

• AI & Application Development
• Hands-on experience owning or extending LLM-powered platforms, including RAG pipeline development, prompt engineering, and integrating LLM APIs into production internal systems.
• Expert-level knowledge of AI infrastructure, including model serving, inference optimization, GPU/CPU resource management, and MLOps pipelines.
• Experience designing and building internal API layers or shared platform services that multiple teams and systems publish to and consume from.
• Proficiency in Python and/or TypeScript for building integrations, scripts, and lightweight internal services.
• Experience working with REST APIs and building integrations across a diverse internal tooling ecosystem.
• Cloud & Infrastructure
• Strong AWS experience: required proficiency in core services (EC2, ECS/EKS, S3, RDS, Lambda, IAM, VPC) and experience architecting and operating production workloads on AWS.
• Deep Docker and Kubernetes expertise: required hands-on experience containerizing applications, writing Dockerfiles, managing multi-container deployments, and orchestrating workloads with Kubernetes (EKS or self-managed).
• Deep Terraform and Ansible expertise: required experience writing and maintaining Terraform modules for cloud infrastructure, and using Ansible for configuration management and automation.
• Experience with GitHub for version control, pull request workflows, branching strategies, and CI/CD integration.
• Experience with Artifactory for artifact management, including publishing and consuming build artifacts, Docker images, and package registries.
• Mindset & Collaboration
• An experimental mindset: comfortable inheriting imperfect systems, iterating quickly, and improving as you go.
• Ability to evaluate AI capabilities through a business lens, understanding not just what’s possible but what creates real value for internal teams and the organization.
• Strong communication skills and the ability to explain AI concepts and tradeoffs to non-technical stakeholders.
• A collaborative, team-first approach with a genuine curiosity about where AI is headed.
• A Bachelor’s degree in Computer Science, Engineering, or equivalent hands-on experience.

Bonus Points:

• Experience with agentic frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar.
• Familiarity with corporate IT or infrastructure engineering environments, understanding how enterprise platforms around identity, monitoring, and automation operate.
• Background building MCP (Model Context Protocol) servers or tools that extend AI agent capabilities.
• Experience with vector databases (e.g., Pinecone, Weaviate, pgvector) and semantic search.
• Experience building or maintaining internal developer platforms, artifact registries, or shared API services.

The Whole Person Promise:

At Bandwidth, we’re pretty proud of our corporate culture, which is rooted in our “Whole Person Promise.” We promise all employees that they can have meaningful work AND a full life, and we provide a work environment geared toward enriching your body, mind, and spirit. How do we do that? Well…

• 100% company-paid Medical, Vision, & Dental coverage for you and your family with low deductibles and low out-of-pocket expenses.
• All new hires receive four weeks of PTO.
• PTO Embargo. When you take time off (of any kind!) you’re embargoed from working. Bandmates and managers are not allowed to interrupt your PTO – not even with email.
• Additional PTO can be earned throughout the year through volunteer hours and Bandwidth challenges.
• “Mahalo moments” program grants additional time off for life’s most important moments like graduations, buying a first home, getting married, wedding anniversaries (every five years), and the birth of a grandchild.
• 90-Minute Workout Lunches and unlimited meetings with our very own nutritionist.

MaintainX is the world’s leading mobile-first Asset and Work Intelligence platform for industrial and frontline environments. We’re a modern, IoT-enabled, cloud-based solution that powers maintenance, safety, and operations on physical equipment and facilities.

We help 12,000+ organizations—including Duracell, Univar Solutions, Titan America, McDonald’s, Brenntag, Cintas, Xylem, and Shell—achieve operational excellence and reliability at scale.

Following our $150 million Series D led by Bain Capital Ventures, Bessemer Ventures, August Capital, Amity Ventures, and Ridge Ventures, MaintainX has raised a total of $254 million, valuing the company at $2.5 billion.

As we enter our next phase of growth, we’re investing deeply in AI/ML, LLMs, and Industrial IoT to transform how frontline teams operate—predicting failures before they happen, automating workflows, and embedding intelligence into every asset and procedure.

The Role

We are seeking a highly skilled and motivated Senior Applied Machine Learning Developer to guide the technical direction and architecture of our Predictive Maintenance and Asset Intelligence initiatives.

You’ll combine deep ML expertise with strong software development and leadership skills—mentoring developers, scaling systems, and driving the roadmap for AI-enabled maintenance intelligence across thousands of industrial sites.

This role sits at the intersection of ML architecture, IoT data systems, and product impact, shaping the foundation for MaintainX’s predictive and generative AI strategy.

What you’ll do:

• Lead technical direction for predictive maintenance, anomaly detection, and LLM-powered intelligence across MaintainX products.
• Architect end-to-end ML systems—from data ingestion and feature development to model training, deployment, and monitoring.
• Mentor a growing team of ML and data developers, instilling best practices for experimentation, evaluation, and model lifecycle management.
• Partner with product and software development leaders to align AI roadmap with customer needs and business goals.
• Design reliable data and feedback loops that connect customer telemetry and operator feedback to model retraining.
• Drive performance optimization through techniques like quantization, distillation, and scalable inference serving.
• Work with LLM frameworks (LangChain, LlamaIndex, Hugging Face) to build reasoning systems and agentic workflows for asset and work intelligence.
• Ensure ML infrastructure meets production standards for latency, reliability, explainability, and security.

About you:

• 7+ years of experience in Machine Learning, Data Science, or Applied AI.
• Expertise in Python, and strong familiarity with PyTorch, TensorFlow, and cloud ML stacks (AWS, Databricks, or similar).
• Proven experience deploying production ML systems—not just prototypes—at scale.
• Strong background in LLMs, time-series modeling, and anomaly detection for real-world data.
• Demonstrated ability to lead architectural decisions, mentor developers, and collaborate across product, data, and platform teams.
• Knowledge of MLOps tooling (Docker, Kubernetes, Weights & Biases, MLflow, SageMaker).
• Advanced degree (MS/PhD) in Computer Science, Machine Learning, or related field preferred.

Bonus skills: 

• Experience with OCR for extracting structured data from documents.
• Background in time-series modeling for predictive maintenance and anomaly detection.
• Familiarity with Industrial IoT systems (sensors, telemetry, edge computing).
• Experience applying reinforcement learning or agentic architectures for decision-making and control systems.
• Contributions to open-source ML frameworks or research in reliability, explainability, or digital twins.

What’s in it for you:

• Competitive salary and meaningful equity opportunities.
• Healthcare, dental, and vision coverage.
• 401(k) / RRSP enrollment program.
• Take what you need PTO.
• A high impact Culture:
• You’ll work with Smart, Humble Optimists across the globe.
• Meritocratic environment where ideas and outcomes are publicly celebrated.

About us:

We exist to make the lives of frontline and maintenance teams easier by building software that meets their real-world needs. Our product transforms how 80% of the global workforce—those who don’t sit behind a desk—manage their operations, assets, and teams.

MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

MaintainX est la première plateforme mobile au monde dédiée à la gestion des actifs et des tâches dans les environnements industriels et de première ligne. Nous proposons une solution moderne, basée sur l'IoT et le cloud, qui facilite la maintenance, la sécurité et l'exploitation des équipements et installations physiques.

Nous aidons plus de 12 000 organisations, dont Duracell, Univar Solutions, Titan America, McDonald's, Brenntag, Cintas, Xylem et Shell, à atteindre l'excellence opérationnelle et la fiabilité à grande échelle.

À la suite de notre série D de 150 millions de dollars menée par Bain Capital Ventures, Bessemer Ventures, August Capital, Amity Ventures et Ridge Ventures, MaintainX a levé un total de 254 millions de dollars, valorisant la société à 2,5 milliards de dollars.

Alors que nous entrons dans notre prochaine phase de croissance, nous investissons massivement dans l'IA/ML, les LLM et l'IoT industriel afin de transformer le mode de fonctionnement des équipes de première ligne, en prédisant les pannes avant qu'elles ne se produisent, en automatisant les flux de travail et en intégrant l'intelligence dans chaque actif et chaque procédure.

Le poste

Nous recherchons un développeur(se) senior en apprentissage automatique appliqué hautement qualifié et motivé pour orienter la direction technique et l'architecture de nos initiatives en matière de maintenance prédictive et d'intelligence des actifs.

Vous combinerez une expertise approfondie en apprentissage automatique avec de solides compétences en génie logiciel et en sens du leadership. Vous encadrerez des ingénieurs, développerez des systèmes et piloterez la feuille de route pour l'intelligence de maintenance basée sur l'IA sur des milliers de sites industriels.

Ce poste se situe à la croisée de l'architecture d'apprentissage automatique, des systèmes de données IoT et de l'impact des produits, et constitue le fondement de la stratégie d'IA prédictive et générative de MaintainX.

Ce que vous ferez:

• Diriger la direction technique pour la maintenance prédictive, la détection des anomalies et l'intelligence alimentée par LLM dans tous les produits MaintainX.
• Concevoir des systèmes ML de bout en bout, de l'ingestion des données et le développement des fonctionnalités à la formation, au déploiement et à la surveillance des modèles.
• Encadrer une équipe croissante de développeurs(ses) ML et de données, en inculquant les meilleures pratiques en matière d'expérimentation, d'évaluation et de gestion du cycle de vie des modèles.
• Collaborer avec les responsables des produits et de développement afin d'aligner la feuille de route de l'IA sur les besoins des clients et les objectifs commerciaux.
• Concevoir des boucles de données et de rétroaction fiables qui relient la télémétrie des clients et les commentaires des opérateurs au réentraînement des modèles.
• Optimiser les performances grâce à des techniques telles que la quantification, la distillation et le service d'inférence évolutif.
• Travailler avec des cadriciels LLM (LangChain, LlamaIndex, Hugging Face) pour créer des systèmes de raisonnement et des flux de travail agentifs pour l'intelligence des actifs et du travail.
• S'assurer que l'infrastructure ML répond aux normes de production en matière de latence, de fiabilité, d'explicabilité et de sécurité.

À propos de vous:

• Plus de 7 ans d'expérience dans le domaine de l'apprentissage automatique, de la science des données ou de l'IA appliquée.
• Expertise en Python et excellente maîtrise de PyTorch, TensorFlow et des piles ML cloud (AWS, Databricks ou similaires).
• Expérience avérée dans le déploiement à grande échelle de systèmes ML de production, et pas seulement de prototypes.
• Solide expérience en LLM, modélisation de séries chronologiques et détection d'anomalies pour les données du monde réel.
• Capacité avérée à diriger les décisions architecturales, à encadrer les développeurs(ses) et à collaborer avec les équipes chargées des produits, des données et des plateformes.
• Connaissance des outils MLOps (Docker, Kubernetes, Weights & Biases, MLflow, SageMaker).
• Diplôme de deuxième cycle (master/doctorat) en informatique, apprentissage automatique ou dans un domaine connexe préféré.

Une attention particulière est accordée aux candidats présentant les caractéristiques suivantes:

• Expérience avec l'OCR pour l'extraction de données structurées à partir de documents.
• Expérience dans la modélisation de séries chronologiques pour la maintenance prédictive et la détection d'anomalies.
• Connaissance des systèmes IoT industriels (capteurs, télémétrie, edge computing).
• Expérience dans l'application de l'apprentissage par renforcement ou des architectures agentuelles pour les systèmes de prise de décision et de contrôle.
• Contributions à des frameworks ML open source ou à la recherche dans les domaines de la fiabilité, de l'explicabilité ou des jumeaux numériques.

Quels sont les avantages pour vous?:

• Un salaire compétitif et des opportunités d'équité significatives.
• Couverture des soins de santé, des soins dentaires et de la vue.
• Programme d'inscription 401(k) / RRSP.
• Prenez les congés dont vous avez besoin.
• Une culture du travail :
• Vous travaillerez avec des personnes intelligentes, humbles et optimistes à travers le monde.
• Un environnement méritocratique où les idées et les résultats sont publiquement célébrés.

Qui sommes-nous:

MaintainX s'engage à créer un environnement diversifié. Tous les candidats qualifiés seront pris en considération pour un emploi sans considération de race, de couleur, de religion, de sexe, d'identité ou d'expression de genre, d'orientation sexuelle, d'origine nationale, de génétique, d'invalidité, d'âge ou de statut d'ancien combattant.

As a Senior MuleSoft Engineer, you will design and deliver API-led integration solutions on Anypoint Platform — directly with clients, from discovery through go-live. You'll drive architecture decisions, protect margin through scope discipline, and build the kind of trusted client relationships that turn one engagement into many.

What You'll Own

You will be the technical owner of your client engagements — not a resource assigned to a ticket queue. That means:

• Client Delivery Ownership: Lead integration programs end-to-end for external clients — from discovery and estimation through SOW shaping, stakeholder alignment, and delivery KPIs (on-time, on-budget, CSAT).
• Stakeholder Management (exec → dev): Navigate the full relationship stack. Translate architecture trade-offs to executives, earn trust with engineering teams, and keep both sides aligned throughout delivery.
• Scope Discipline: Anticipate risk early, communicate trade-offs clearly, and protect margin through change-order discipline — without damaging the relationship.
• Autonomous Execution: Own your calendar, your estimates, and your commitments. No one will chase you for updates. You surface risks before they surface you.

Key Responsibilities

Technical Delivery

• Lead technical design, implementation, and deployment of large-scale MuleSoft integration and API solutions (CloudHub 2.0, Runtime Fabric, Anypoint MQ, Flex Gateway, or on-prem).
• Develop and maintain DataWeave scripts, Mule flows, and CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins).
• Enforce architectural and security standards (RAML/OAS, OAuth2, JWT, TLS, encryption).
• Monitor and optimize integrations for performance, scalability, and maintainability.

Client-Facing Services Delivery

• Lead discovery sessions, shape estimates, and contribute to SOW development — you are the technical voice in the room with the client.
• Own delivery KPIs: on-time rate ≥90%, estimate variance ≤±15%, client satisfaction scores that earn repeat business.
• Proactively communicate status, risks, and decisions — updates go out without being asked.
• Build trusted relationships that make scope conversations easier, not harder.
• When scope creeps (and it will), you call it — with a path forward, not just a flag.

Leadership & Collaboration

• Provide coaching and technical guidance to engineers; lead code reviews and process improvements.
• Operate as a peer, not a manager — lift standards through quality of work and direct feedback.

Innovation & AI

• AI as Your Default Toolchain: You reach for your AI-enabled IDE, LLM-based assistants, and AI-powered static analysis before anything else — not as a shortcut, but because better tools produce better outcomes. You don't write code you can automate reviewing.
• Integration Workflows, Augmented: You actively prototype and deploy AI/LLM services inside integration solutions — summarization, document parsing, intelligent transformation, synthetic test data generation.
• Advance automation with AI-assisted code review and LLM-based development platforms to accelerate delivery and lift code quality across the team.

Ways of Working

• The best engineers here don't wait to be told what to do next. They already know. You set direction, track your own commitments, and communicate proactively — without a layer between you and the client.
• WIP stays at ≤2 concurrent workstreams. You know what's at risk before your teammates do.
• If you've always been three steps ahead of your own deadlines, you'll feel right at home.

Required Qualifications

• Consulting Services Experience: 3–5+ years delivering integration programs for external clients — leading discovery/estimation, shaping SOWs, managing stakeholders from exec to dev, and owning delivery KPIs. This is non-negotiable. Internal IT delivery experience does not substitute.
• Client-Facing Ownership: Proven track record of managing client relationships through the full engagement lifecycle — including difficult scope and change-order conversations that preserve both trust and margin.
• API & Microservices Architecture: Expert in designing, implementing, and maintaining distributed, scalable API-led solutions using MuleSoft and industry-standard patterns.
• MuleSoft Platform Mastery: Advanced hands-on with Anypoint Platform, including DataWeave 2.x, CloudHub 2.0, Runtime Fabric, Flex Gateway, and Anypoint MQ.
• Autonomous Execution: Demonstrated ability to self-govern in flat, PM-free consulting environments — independently scoping, prioritizing, and delivering without hand-holding. If you've only worked in highly structured orgs, be honest with yourself about this one.
• AI/LLM Tools & Automation: You don't just tolerate AI tools — you seek them out. Cursor, LLM-based assistants, AI-powered static analysis — these are in your daily rotation, not your LinkedIn bio.
• DevOps, CI/CD & Automation: Strong experience with CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins), containerization (Docker/Kubernetes), and cloud-native deployment strategies.
• Security & Integration Standards: Advanced knowledge of RAML/OAS, OAuth2, JWT, TLS, and encryption best practices.
• Programming Proficiency: Skilled in Java and Node.js, with the ability to refactor legacy codebases into clean, maintainable solutions.
• MuleSoft Certifications: MuleSoft Certified Developer – Level 1 required; Architect or Integration Professional certifications strongly preferred.

Preferred/Bonus

• Experience integrating Salesforce, AWS, or other SaaS/ERP platforms.
• Familiarity with event-driven architectures (Kafka, Pub/Sub).
• Hands-on experience or strong interest in AI/ML pipeline design or integration.