
Gitlab · Remote
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency,...
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity,
improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million
registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier,
with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is
where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our
values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with
industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world
develops software.
refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited
are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Cloud Cost Utilization SRE at GitLab, you will make cloud spending visible, understandable, and actionable across our
infrastructure. This role sits at the intersection of engineering and financial accountability, where you will partner with
Engineering, Finance, and Product to improve how cloud usage is tracked, attributed, and optimized across GitLab.
You will build and improve the systems, standards, and workflows that help teams understand the real cost of the services they
run. That includes developing resource tagging and labeling approaches, improving billing data quality, and creating tooling that
supports better decisions across AWS and GCP.
In this role, you will work through technical and organizational ambiguity, connect infrastructure data with business context, and
help teams act on cost signals with confidence. This is a strong fit for someone who enjoys systems thinking, cross-functional
collaboration, and building practical solutions in GitLab's all-remote, asynchronous, and values-driven environment.
Some examples of our projects
What you'll do
infrastructure spend
ELK, with a focus on surfacing cost efficiency signals
infrastructure usage
built into provisioning workflows from the start
What you'll bring
approaches
connected
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet
every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a
job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to
assess your application.
Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some
roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about
location after starting the recruiting process.
Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices
relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit,
regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender
expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including
family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently
separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis
protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s
EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during
the recruiting process.
Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. The Machine Learning Platform team builds and operates the core infrastructure that powers ML across Toast — the feature store, model hosting and serving, the experimentation platform, training pipelines, and the tooling ML engineers and data scientists rely on every day. Our work directly enables the models that drive personalization, forecasting, fraud detection, search, and the growing set of AI-powered experiences shipping to restaurants. Toast is seeking a Staff Software Engineer to act as a technical leader on the ML Platform team, shaping the systems that will carry Toast's ML capabilities into the next decade. The role involves driving architectural direction across the platform, delivering foundational infrastructure that other teams build on, and elevating fellow engineers. The ideal candidate is a domain expert who partners with ML engineers, data scientists, product, and infrastructure leadership on high-leverage opportunities. This position suits an engineer comfortable writing production code, leading technical design for distributed systems, and influencing organizational decisions about how Toast builds and deploys ML. A day in the life (Responsibilities) * Own technical direction of the ML Platform — feature store, model hosting and serving, experimentation, training infrastructure — driving architectural decisions around scalability, reliability, latency, and cost * Lead design and delivery of large-scope platform initiatives from conception through production, coordinating across ML, data, and infrastructure teams * Identify and resolve systemic technical challenges: online/offline feature parity, model deployment friction, experimentation velocity, GPU utilization, cross-team dependencies * Set and maintain a high engineering quality bar through hands-on code contributions, design reviews, and mentorship of platform and ML-adjacent engineers * Partner with ML engineering, data science, product, and platform leadership to translate ML strategy into technical roadmaps * Define the paved paths ML teams use to ship models safely — from feature registration through canary rollout, monitoring, and rollback * Leverage AI-augmented development tools to increase development velocity and code quality What you'll need to thrive (Requirements): * 8+ years delivering complex backend or infrastructure systems at scale * Direct experience building or operating core ML infrastructure — feature stores, model serving, experimentation platforms, training orchestration, or equivalent * Mastery of a modern backend language such as Python, Java, Kotlin, Go, or Scala * Deep proficiency with distributed systems concepts: consistency, latency, throughput, fault tolerance, and observability * Strong understanding of data modeling, query languages, and the online/offline data patterns that underpin ML systems * Demonstrated technical leadership, with ability to drive cross-team alignment and influence engineering, product, and business stakeholders * Bachelor's degree in Computer Science or a related field, or equivalent practical experience Nice to Haves: * Hands-on experience with open-source or commercial ML platform components (e.g. Tecton, MLflow, SageMaker, Databricks) * Experience building or operating experimentation / A-B testing platforms at scale * Familiarity with real-time streaming systems (Kafka, Flink, Spark Streaming) and their use in feature computation * Experience serving LLMs or large deep-learning models in production, including GPU capacity planning and inference optimization * Comfort with Kubernetes and modern cloud-native infrastructure * Prior work supporting internal-developer-facing platforms with a product mindset 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. #LI-REMOTE The base salary range for this role is listed below. The starting salary will be determined based on skills, experience, and geographic location. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions if eligible), equity, and benefits. You can learn more about how we align pay with local labor markets in our Geographic Pay Zone Philosophy. Zone A $193,000—$309,000 USD Zone B $168,000—$269,000 USD Zone C $151,000—$242,000 USD How Toast Uses AI in its Hiring Process Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring Our Approach to Hybrid Working We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations page on our career site to learn more about our in-office expectations by region: https://careers.toasttab.com/locations-toast Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast. Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com. ------ For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Who We Are Moniepoint Inc. is Africa’s all-in-one financial platform, helping 20 million businesses and individuals access seamless payments, banking, credit, cross-border, and business management tools each month. As Nigeria’s largest merchant acquirer, we power most of the country’s point-of-sale (POS) transactions. Through our subsidiaries, Moniepoint Inc. processes over $250 billion in digital payment transaction value annually. What We Do At Moniepoint, we are a customer-focused community, dedicated to crafting solutions that redefine our industry. We have several products that provide essential services for businesses, such as credit, overdrafts, etc. We leverage artificial intelligence and data to make our decisions, but also have the technology and data-driven best practices used to support our businesses. Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth. Job Summary We are seeking a Site Reliability Engineer (SRE) responsible for ensuring our systems run smoothly and efficiently while engineering solutions to improve visibility, eliminate repetitive tasks, and increase system resilience. The ideal candidate will balance real-time on-call responsibilities with strategic engineering work to achieve sustainable and scalable service reliability. RESPONSIBILITIES * Participate in on-call rotations to detect and triage service and reliability issues across all environments. Act as the Incident Commander during major incidents: initiating war room or bridge calls, coordinating cross-functional teams, providing timely and clear status updates to all stakeholders. * Create and maintain meaningful dashboards and alerts. Work with development teams to instrument their code to ensure visibility. * Develop automation to eliminate manual and repetitive operational tasks (toil) related to reliability across both applications and infrastructure. * Implement and track Service Level Indicators (SLIs) and Service Level Objectives (SLOs) defined by the engineering leadership. * Investigate and resolve customer complaints escalated beyond L1 and L2 support, especially those involving performance, reliability, or complex system behavior. REQUIREMENTS * Minimum of 4 years of experience supporting enterprise applications as an SRE or similar role with proficiency in writing code in Java, Go or Python * Good understanding of distributed systems concepts, microservices architecture and software design patterns. * Hands-on experience with Kubernetes. You have managed applications on a major cloud provider (GCP, AWS, or Azure), and can troubleshoot common container issues. * Experience setting up dashboards in Grafana and using APM tools like Datadog, New Relic, Signoz.You have a Solid understanding of metrics, logs, and traces. * Proficiency in SQL (e.g., PostgreSQL, MySQL). Ability to write complex queries to debug data issues and a basic understanding of database performance. What we can offer you * Culture - We put our people first and prioritize the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human. * Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks. * Compensation - You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits. What to expect in the hiring process * A preliminary phone call with the recruiter * A technical interview with the Hiring Manager * A behavioural and technical interview with a member of the Executive team. Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.
Who We Are Moniepoint Inc. is Africa’s all-in-one financial platform, helping 20 million businesses and individuals access seamless payments, banking, credit, cross-border, and business management tools each month. As Nigeria’s largest merchant acquirer, we power most of the country’s point-of-sale (POS) transactions. Through our subsidiaries, Moniepoint Inc. processes over $250 billion in digital payment transaction value annually. What We Do At Moniepoint, we are a customer-focused community, dedicated to crafting solutions that redefine our industry. We have several products that provide essential services for businesses, such as credit, overdrafts, etc. We leverage artificial intelligence and data to make our decisions, but also have the technology and data-driven best practices used to support our businesses. Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth. Job Summary We are seeking a Site Reliability Engineer (SRE) responsible for ensuring our systems run smoothly and efficiently while engineering solutions to improve visibility, eliminate repetitive tasks, and increase system resilience. The ideal candidate will balance real-time on-call responsibilities with strategic engineering work to achieve sustainable and scalable service reliability. RESPONSIBILITIES * Participate in on-call rotations to detect and triage service and reliability issues across all environments. Act as the Incident Commander during major incidents: initiating war room or bridge calls, coordinating cross-functional teams, providing timely and clear status updates to all stakeholders. * Create and maintain meaningful dashboards and alerts. Work with development teams to instrument their code to ensure visibility. * Develop automation to eliminate manual and repetitive operational tasks (toil) related to reliability across both applications and infrastructure. * Implement and track Service Level Indicators (SLIs) and Service Level Objectives (SLOs) defined by the engineering leadership. * Investigate and resolve customer complaints escalated beyond L1 and L2 support, especially those involving performance, reliability, or complex system behavior. REQUIREMENTS * Minimum of 4 years of experience supporting enterprise applications as an SRE or similar role with proficiency in writing code in Java, Go or Python * Good understanding of distributed systems concepts, microservices architecture and software design patterns. * Hands-on experience with Kubernetes. You have managed applications on a major cloud provider (GCP, AWS, or Azure), and can troubleshoot common container issues. * Experience setting up dashboards in Grafana and using APM tools like Datadog, New Relic, Signoz.You have a Solid understanding of metrics, logs, and traces. * Proficiency in SQL (e.g., PostgreSQL, MySQL). Ability to write complex queries to debug data issues and a basic understanding of database performance. What we can offer you * Culture - We put our people first and prioritize the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human. * Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks. * Compensation - You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits. What to expect in the hiring process * A preliminary phone call with the recruiter * A technical interview with the Hiring Manager * A behavioural and technical interview with a member of the Executive team. Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.