Location: Paris
Workplace: OnSite
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
About the role:
As a Senior Software Developer at Checkout.com http://Checkout.com, you will be embedded within the Identity Verification Team, a critical function focused on building innovative products to verify the identities of individuals and businesses globally.
In this high-impact role, you will be instrumental in the development of next-generation verification features, deploying intelligent, production-ready solutions by leveraging state-of-the-art Orchestration technologies as well as Generative AI and Computer Vision technologies.
You will be expected to work closely and collaboratively with Product, DevOps, DataScientist, and Data teams to ensure successful, end-to-end delivery of these solutions, while constantly researching and integrating emerging technologies. A core part of your contribution will be safeguarding data integrity and ensuring compliance, and translating complex data insights into clear, actionable recommendations for stakeholders to support informed, data-driven decision-making across Checkout.com http://Checkout.com.
What you will be doing:
• Drive the design and development of innovative, complex and scalable applications for real-world identity verification challenges in a wider microservices using industry best practices.
• Take full ownership of new and existing features and service, managing the end-to-end lifecycle from initial conceptualization and design through to deployment and monitoring in a production environment.
• Actively collaborate with cross-functional teams (Engineering, Product, Risk) across the company to maximize the positive impact of data science initiatives.
• Champion a culture of technical excellence, cross-team learning, and knowledge sharing within the Data organization.
• Be part of, and collaborate with, cross-functional teams including product management, across a large engineering community.
• Write clean, maintainable, extendable and testable code on some of Checkout’s most impactful systems.
• Build, own and operate your systems to the highest levels of resilience and service.
• Mentor junior team members and assist in their technical development
What are we looking for:
• Bachelor's or Master's degree in Computer Science, Engineering, or related field
• Over 5 years of experience as a Software Engineer working with complex, large-scale, and diversified applications and tech stacks.
• Proficiency in C# .NET, with a strong understanding of software development principles in either a backend or full stack environment.
• Great communication skills and ability to interact effectively with a wide range of stakeholders
• Experience working in agile environments and delivering high-quality code within tight deadlines
• Excellent problem-solving skills and the ability to work independently as well as part of a team
• Someone who is AI proficient or AI curious, you will be hungry to embrace what the latest technology has to offer to enhance yours and your teams productivity
• Payments or financial knowledge is a plus, but not a necessity
• French language proficiency at a minimum B2 level
Bonus Points:
• Experience with Cloud and Infrastructure technologies like AWS, GCP, Azure, Kubernetes, prometheus...
• Experience with Databases like Postgresql, Mongo, Redis, ...
• Direct experience solving real-world business problems through innovative, data-driven approaches.
• Any experience in other programming languages not mentioned above.
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
Location: Bengaluru
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
Harvey is building the infrastructure foundation behind one of the most ambitious AI product companies in the world. Our Core Infrastructure team powers every user interaction across Harvey’s legal AI platform, which already processes billions of prompt tokens and millions of daily requests for leading law firms, enterprises, and other high-stakes customers.
We are looking for an Engineering Manager to lead Core Infrastructure from Bengaluru as we scale the platform, the team, and the next generation of Harvey products. This is a high-leverage role for a builder-leader who can grow strong engineers, drive technical execution, and raise the bar on reliability, performance, security, and developer velocity.
This is not a pure operations role. Core Infrastructure at Harvey is responsible for building new systems as well as hardening existing ones, with an emphasis on architecture, scale, and long-term platform leverage rather than reactive firefighting alone.
Harvey is in a build era, not a maintenance era. New product surfaces ship rapidly, and India engineering is expected to play a foundational role in shaping the architecture, culture, and roadmap of Harvey’s next decade.
At Harvey, we value Decisiveness, Simplicity, and the mindset that Job's Not Finished. We move fast, prioritize clarity, and are always striving for excellence. If this resonates with you, we'd love to hear from you.
WHY THIS ROLE MATTERS:
Core Backend Infrastructure exists to “deliver core infrastructure that powers our products and teams,” and its current mission is operational excellence at scale. The team serves two critical user groups: external customers who need Harvey to be as reliable as the tools it replaces, and internal product engineering teams who need infrastructure they can build on without firefighting.
The systems this team owns are directly tied to Harvey’s next wave of growth, including agent infrastructure, database resilience, site reliability, vector search, job execution, regional data residency, and multi-cloud scale.
WHAT YOU'LL DO:
- Lead, hire, and develop a high-agency infrastructure team in Bengaluru, creating a culture of accountability, technical excellence, and strong mentorship.
- Own delivery for core infrastructure investments spanning cloud infrastructure, observability, container orchestration, reliability, and platform foundations.
- Partner closely with Product Engineering, Security, and adjacent platform teams so infrastructure accelerates product delivery instead of constraining it.
- Guide technical strategy across multi-cloud infrastructure, including Azure- and GCP-based systems, Kubernetes orchestration, networking, container management, and infrastructure as code.
- Drive operational excellence through better observability, incident response, disaster recovery, runbooks, alerting, and recovery tooling.
- Help the organization scale safely by improving system design quality, hardening critical paths, and pushing durable solutions to reliability bottlenecks before they become customer-facing failures.
- Partner with AI and product teams to support Harvey’s next major product surfaces, including agent workflows, model infrastructure, and large-scale document processing systems.
- Contribute as a hands-on technical leader when needed, especially in architecture reviews, incident leadership, prioritization, and high-stakes cross-functional programs.
REPRESENTATIVE PROBLEMS YOU MAY LEAD:
- Hardening the Agent Platform so product teams can ship AI agent experiences with resource isolation, authenticated sandbox access, and resilient execution.
- Improving database resilience and recovery so incidents are mitigated quickly and the main database never becomes the bottleneck during critical events.
- Raising site reliability through stronger alerting, failover strategy, autoscaling, and runbooks so customers are never the first to know Harvey is degraded.
- Scaling vector and retrieval infrastructure that underpins document-heavy workflows and enterprise search, including migrations that improve reliability and unlock new capabilities.
- Building a multi-region, enterprise-grade platform that meets strict data residency, security, and uptime expectations for global customers.
WHAT WE’RE LOOKING FOR:
- 12+ years of hands-on backend infrastructure or platform engineering experience in production environments
- 5+ years of engineering management experience.
- Deep technical strength across cloud infrastructure, Kubernetes, networking, observability, CI/CD, and infrastructure-as-code tooling such as Terraform or Pulumi.
- A track record of designing and scaling reliable distributed systems, with strong judgment around performance, fault tolerance, and operational tradeoffs.
- Experience leading complex cross-functional initiatives and translating ambiguous platform needs into clear execution plans and measurable outcomes.
- Strong people leadership: hiring well, coaching engineers, creating accountability, and building a healthy, high-performing team culture.
- Clear communication and calm execution during incidents, escalations, and high-stakes customer-impacting situations.
- A systems mindset, bias for simplicity, and the ability to raise standards while keeping teams moving fast.
NICE TO HAVE
- Experience with AI/ML infrastructure, high-throughput inference systems, or model platform reliability.
- Experience operating multi-tenant, security-sensitive platforms for enterprise or regulated customers.
- Familiarity with Azure at scale; GCP or AWS experience also transfers well.
- Experience supporting global, follow-the-sun operations or building teams across regions.
ADDITIONAL INFORMATION
- Work eligibility: Must be authorized to work in India. Visa sponsorship is not available for this role.
PLEASE FIND THE APPLICANT PRIVACY FOR THIS REGION HERE https://www.harvey.ai/legal/india-applicant-privacy-notice.
#LI-AS2
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
-Design and build systems from the ground up without cutting corners on security or usability. -Develop signing infrastructure and applications to run inside secure computing environments.
Location: Bangalore
At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio’s cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats—including unstructured data—in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world’s largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate innovation and reduce risk.
At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.
Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!
Job Summary
We are seeking a Sr SDE – CI/CD & Developer Productivity Engineering to strengthen engineering delivery pipelines, code quality automation, and developer workflows across the Reltio platform.
This is a hands-on engineering role focused on Bitbucket, Jenkins, and Argo CD; consistent SonarQube quality and security checks in CI and local development; and reliable Codecov-based code coverage reporting and governance. The engineer will improve pipeline speed, stability, maintainability, and the clarity of quality gates across teams.
The ideal candidate has 6–9 years of software engineering, build/release engineering, DevOps, or developer tooling experience and can collaborate with development, QE, DevOps, and security teams in a Kubernetes-based, multi-cloud environment (AWS, Azure, GCP).
Job Duties and Responsibilities
CI/CD Pipeline Engineering
Design, implement, troubleshoot, and optimize CI/CD workflows using Bitbucket, Jenkins, and Argo CD.
Improve pull-request validation, build performance, deployment reliability, pipeline observability, and failure triage.
Build reusable pipeline templates, shared libraries, and automation to standardize engineering workflows across repositories.
Support GitOps-based Kubernetes deployments, environment configuration, release promotion, and safe rollback practices.
Implement secure management of pipeline credentials, permissions, and service integrations.
SonarQube Integration & Code Quality
Integrate SonarQube analysis and quality gates into Bitbucket pull requests and Jenkins pipelines, including branch and PR reporting.
Enable and document developer-local analysis workflows, including scanners, IDE integration, and parity with CI checks.
Maintain quality profiles, rule configurations, exclusions, and quality-gate policies in collaboration with engineering and security.
Troubleshoot analysis failures, false positives, coverage ingestion, and performance bottlenecks; help teams remediate findings.
Ensure policy exceptions follow approved review and audit processes.
Codecov & Coverage Engineering
Integrate Codecov with automated test pipelines and pull-request workflows across relevant repositories.
Configure coverage upload, report aggregation, status checks, thresholds, and meaningful coverage-delta reporting.
Improve reliability and accuracy of coverage data across unit and integration tests, languages, and parallel CI jobs.
Define practical coverage governance and help teams interpret coverage gaps without treating coverage percentage as a substitute for test quality.
Engineering Enablement & Collaboration
Create dashboards and reporting for build health, pipeline duration, quality-gate outcomes, and coverage trends.
Partner with QE, development, DevOps, and security teams to drive adoption, resolve issues, and document standards.
Automate repetitive maintenance and support self-service troubleshooting for developers.
Skills You Must Have
Professional Experience
5–9 years of relevant software engineering, DevOps, build/release engineering, or developer tooling experience.
Hands-on experience owning or significantly improving CI/CD pipelines used by multiple engineering teams.
Experience supporting distributed microservices and containerized workloads.
Technical Skills
Strong hands-on knowledge of Bitbucket Git workflows, pull requests, webhooks, and repository permissions.
Strong Jenkins experience: declarative pipelines, shared libraries, agents, parallel execution, credentials, and troubleshooting.
Practical Argo CD and GitOps experience with Kubernetes deployments, synchronization, drift detection, and rollback.
Hands-on SonarQube administration/integration: scanners, quality gates, quality profiles, PR decoration, and local developer analysis.
Experience integrating Codecov or equivalent coverage reporting with CI, including coverage artifacts, status checks, and coverage thresholds.
Scripting or programming proficiency in Python, Bash, Java, or Groovy; ability to debug build and test tooling.
Working knowledge of Kubernetes, Docker/container builds, Linux, networking, secrets management, and cloud environments (AWS, Azure, GCP).
Understanding of secure SDLC, access control, code quality metrics, and CI/CD security practices.
Skills That Are Nice to Have
Experience with Java/Maven/Gradle-based repositories and multi-module builds.
Experience with SonarQube security rules, Snyk, or other SAST/SCA tools.
Experience tuning large-scale Jenkins infrastructure and optimizing test parallelism or caching.
Experience with Terraform, Helm, Prometheus/Grafana, and deployment observability.
Experience defining developer productivity metrics and enabling self-service engineering platforms.
Strong documentation, collaboration, and cross-team technical communication skills.
What Success Looks Like in This Role
CI/CD pipelines are faster, more reliable, and easier for engineers to diagnose and maintain.
SonarQube checks are consistently enforced in CI and reproducible through supported local developer workflows.
Codecov reporting is accurate, actionable, and integrated into pull-request quality decisions.
Teams have reusable pipeline standards, clear documentation, and reduced manual effort.
Quality and security gates provide trustworthy signals without unnecessary delivery friction.
Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
Location: San Jose, California, United States
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
About the Team
Cloud Infrastructure Engineering is a critical engineering discipline and a job function in the company. Its charter is to build tools and infrastructure that promote early detection of production failures, leading to a stellar customer experience.
Our work is to drive safety, health and uptime of our platform, and the ability to remedy unforeseen problems. By removing some of the complex burdens on how to scale and maintain uptime in distributed systems, Cloud Infrastructure Engineer allows development teams to focus on feature development instead of the nuances of achieving and maintaining service level commitments.
About the Opportunity:
We’re looking for a creative and driven individual that can spearhead our effort to push “outside the box” infrastructure implementations, that will have a tremendous impact on our platform’s stability and scalability.
What You’ll Be Doing:
Responsible for the maintenance and configuration of AWS products and services
Responsible for the research, architecture and project implementation solutions based on AWS products
Responsible for the daily maintenance of each AWS cloud environment
Support the deployment, maintenance and scaling of big data and machine learning platforms (e.g., Databricks, AWS SageMaker, Aliyun DSW) to enable data processing and model training workflows
Own the Databricks platform on AWS end to end: workspace provisioning, account/workspace configuration, cluster policies, instance pools, and SQL warehouses, managed as code via the Databricks Terraform provider
Monitor and optimize Databricks cost and performance, including cluster sizing and autoscaling, Photon/serverless adoption, DBU usage tracking via system tables, and job reliability tuning
Automate the provisioning, scaling, and configuration of infrastructure resources using tools like Terraform and CI/CD pipelines
Assist the team in troubleshooting and resolving production database issues during incidents
Monitor company services and handle alerts in a timely manner to ensure service stability and uptime
Collaborate with development teams to ensure seamless integration and deployment of new features
Design, build and maintain internal platforms and tooling to improve operational efficiency, and support unified multi-cloud management across AWS, Alibaba Cloud, and other providers
What We Look For In You:
Bachelors degree or above, major in Computer Science or relevant domains, with over 6 years of experience in DevOps, SRE, DBA or related positions
Proficient in AWS distributed management, large-scale clustering, fault tolerance, backup, load balancing and other technologies
Have a deep understanding of high availability architecture, capacity planning, and rich experience in handling complex problems
Have solid Linux platform operation and maintenance and debugging capabilities, and be proficient in troubleshooting, configuration tuning, and performance analysis
Familiar with Kubernetes (k8s) for container orchestration and management
Familiar with the functional features of AWS products and core products, and have rich practical experience in deployment and tuning of EC2, EKS, VPC, or big data products
Experience with microservices architecture, including deployment, scaling, and maintenance
Experience in monitoring, O&M and management of AWS large-scale servers and containers
Experience in relational databases (e.g., MySQL, PostgreSQL) and NoSQL or big-data storage systems (e.g., Redis, MongoDB, HBase) is a plus
Hands-on experience with big data / machine learning platforms such as Databricks, AWS SageMaker, or Aliyun DSW, including supporting data pipelines, notebook environments, and model training/deployment workflows
Familiar with the deployment, configuration and maintenance of Nginx, kong and other software
Proficient in using Python/Go/shell for development
Strong engineering skills, proficient in at least one infrastructure sub-area, public cloud networking, SRE, DevOps or cloud-native
Experience with internal developer platforms and proficiency in AI-assisted development tools (e.g., Claude Code, Codex) to improve engineering efficiency
Working knowledge of Terraform or similar IaC tools is a plus
Excellent business analysis ability, system architecture ability, and problem-solving ability. and strong self-drive
Nice to Have:
Bilingual in English and Mandarin
Familiar with the operation and maintenance management of Alibaba Cloud, Google Cloud, Microsoft Cloud and other cloud providers.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
OKX
Statement:
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
The salary range for this position is $214,666 to $321,999.
The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site.
#LI-SK1 #LI-HYBRID
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: New York, NY, United States
About Us
Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience.
About The Role
We are looking for a Staff Platform Engineer to join our Platform team based in the United States. Our team is responsible for providing engineering teams with the platform and tooling responsible for deploying and running the core critical services that power the entire Fanatics business. You will own and lead complex initiatives across cloud infrastructure, Kubernetes platforms, CI/CD systems, observability, and internal developer tooling.
As a Staff Platform Engineer, you will be a technical leader on our platform team, helping influence the technical direction and raising the bar for code quality, reliability, and observability. You will lead projects from design through delivery, coordinating across engineers, and partner teams with minimal oversight. You will design complete systems and services that meet business goals and our engineering standards, partner with team leadership on planning and the roadmap, and mentor team members on engineering craft and ownership.
What You’ll Do
Lead end-to-end execution of complex initiatives, from architecture and design through deployment and continuous refinement.
Lead the design, maintenance, and implementation of scalable platform services, automation, CI/CD, and infrastructure supporting Fanatics’ technology ecosystem.
Contribute to observability initiatives, including logging, metrics, and alerting, to improve system reliability and incident response.
Partner with application and platform teams to improve performance, scalability, and reliability in cloud-native environments.
Participate in incident response, post-incident reviews, and reliability improvements.
Advocate for best practices in infrastructure, software delivery, and operational excellence.
Provide technical guidance and mentorship to other engineers.
Continuously learn and apply new technologies and approaches to platform engineering challenges.
What We’re Looking For
8+ years of experience in platform, infrastructure, DevOps, or software engineering
Proven experience successfully leading complex initiatives/projects while driving team strategy.
Track record of breaking down complex work into clear, achievable milestones and delivering predictably using agile practices.
Strong software engineering background, with experience in backend development and distributed systems.
Deep understanding of the AWS cloud platform and cloud-native architectures.
Proficiency in Infrastructure as Code (Terraform, CloudFormation) and automation.
Hands-on experience with CI/CD pipelines, deployment automation, and developer productivity tooling.
Deep expertise with Kubernetes and container orchestration in production environments.
Strong knowledge of observability (logging, metrics, tracing) and experience improving system visibility and reliability.
Experience with incident management and operational best practices for large-scale systems.
Proficiency in Go or Python.
Familiarity with AI-assisted development tools.
Familiarity with platform security concepts.
Ability to collaborate effectively across teams, communicate complex topics clearly, and influence engineering best practices.
Outcome-driven mindset with a focus on solving real-world engineering challenges.
A positive, adaptable attitude suited for a fast-moving environment.
Comfortable operating in a fast-paced, evolving environment.
Nice To Have
Experience scaling services globally
FinOps or cloud cost management experience
Regulated or high-availability environment experience
Experience with Java or Kotlin
Familiarity with GitHub Actions
Experience with Kafka and Cassandra
Why Join Us?
Work on high-impact platform engineering challenges at scale.
Collaborate with experienced engineers who value technical excellence and innovation.
Play a key role in shaping the developer experience and operational foundations of Fan Ecosystem.
Join a culture that encourages learning, growth, and technical leadership.
Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.
For information about our benefits, please visit
https://benefitsatfanatics.com/
#LI-VG1
Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit
https://benefitsatfanatics.com/
Salary Range
$200,000
—
$250,000 USD
By submitting your application, you agree to our terms of service and acknowledge you have read our
Candidate Privacy Policy.
Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it
here
.
Location: Belgrade, Serbia; Bengaluru, India; Cluj-Napoca, Romania; Krakow, Poland; Larnaca, Cyprus; Lodz, Poland; Lublin, Poland; Remote.BG, Bulgaria; Remote.PL, Poland; Riga, Latvia; Sofia, Bulgaria; Varna, Bulgaria; Warsaw, Poland; Wroclaw, Poland
We are looking for a Microsoft Dynamics 365 Developer with experience in Dynamics 365 configuration and customization, plugin development, custom workflow activity development, and system integration. In this role, you will support, modify, and maintain existing solutions while contributing to custom development and data related improvements.
You will contribute to a project that relies on Dynamics 365, D365 CE, and supporting integration and data tools. The work includes custom development, system maintenance, and improvements to connected services and reporting capabilities.
Develop customizations and configurations in Dynamics 365 and D365 CE
Build plugins and custom workflow activities for business requirements
Develop and maintain JavaScript components for CRM solutions
Resolve data issues using SQL queries and SSIS packages with KingswaySoft
Ensure adherence to best practices and coding standards in custom development
Support modify and maintain systems and code developed by other engineering teams
Implement integrations with legacy and modern systems using batch jobs or APIs
Work with service module capabilities in D365 CE including SLA and queue
Contribute to solutions using Power Apps Power BI and Power Automate
Develop and maintain integrations with AWS Snowflake and ECM systems
Work with Azure Synapse Workspace Azure Functions and WebJobs
Experience with Dynamics 365 configuration and customization
Experience with plugin development and custom workflow activities in Dynamics 365
Proficiency in JavaScript for CRM-related development
Proficiency in C# and TypeScript
Proficiency in HTML and CSS
Experience with SSIS and SSIS packages using KingswaySoft
Strong knowledge of SQL queries
Hands-on experience with Power Apps, Power BI, and Power Automate
Experience with API integration with AWS, Snowflake, and ECM
Hands-on experience with Azure Synapse Workspace
Experience with Azure Functions and WebJobs
Good knowledge of the Service module in D365 CE
Experience with SLAs and queues in D365 CE
Ability to understand, support, modify, and maintain systems and code developed by other engineering teams
Location: Brussels, Belgium
We currently have a vacancy for a
Senior LLMOps Engineer
fluent in English, to offer his/her services as an expert who will be based in Belgium. The work will be carried out either in the company’s premises or on site at customer premises. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team.
Your tasks:
Design, build, and maintain production-grade ML systems with a strong focus on Large Language Models (LLMs) in a secure hybrid on-prem / cloud infrastructure;
Deploy, test, manage and monitor ML models in different containerized environments;
Work closely with data scientists and back-end developers to build, test, integrate and deploy ML models;
Evolve the LLMOps lifecycle: data preparation, fine-tuning, evaluation, deployment, monitoring, and iteration. Develop evaluation frameworks for LLM quality, robustness, and regression tracking;
Analyse performance metrics and troubleshoot issues to ensure high availability and reliability;
Design CI/CD pipelines, use orchestration solutions and data versioning tools;
Creating automated anomaly detection systems and constant tracking of its performance and optimizing ML pipelines for scalability, efficiency and cost-effectiveness;
Provision of security studies, security assessments or other security matters associated with information system projects;
Provision of support and guidance to other team members on LLMOps/MLOps practices.
Requirements
University degree in a relevant field such as Computer Science, Information Technology, or Systems Engineering combined with relevant IT professional experience of at least 10 years;
Excellent experience of managing an on-prem and/or cloud LLM / MLOps infrastructure;
Experience with data analytics over big datasets, non-structured databases as well as data lakes;
Experience with monitoring and logging tools (e.g. ELK stack, Prometheus, Grafana, OpenTelemetry, Cloudwatch);
Experience with model testing and model validation in production environments;
In depth knowledge of containerisation and orchestration platforms (e.g. Kubernetes, Docker, Podman, EKS, PKS);
Good knowledge of MLflow, TensorFlow (TFX) or equivalents;
Good knowledge of Airflow;
Good knowledge of AWS or EU cloud providers;
Good knowledge of Python;
Good knowledge of Unix and Bash;
Good knowledge agile software development methodologies;
Good knowledge of infrastructure as code (Terraform, CloudFormation);
Excellent knowledge of messaging services and platforms (e.g. Kafka, Redis, RabbitMQ);
Knowledge of NoSQL databases, such as OpenSearch, MongoDB as well as query languages, such as SQL, Hive, Pig, etc. and with information extraction;
Excellent command of the English language.
Benefits
If you are seeking a career in an exciting, dynamic and multicultural international environment with exciting opportunities that will boost your career, please send us your detailed CV in English, quoting reference
(158837/11/2026).
We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential.
You may also consider all our other open vacancies by visiting the career section of our web site (
www.eurodyn.com)
and follow us on Twitter (@EURODYN_Careers) and LinkedIn.
EUROPEAN DYNAMICS
(
www.eurodyn.com)
is a leading European Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies and national government Administrations in 40 countries and 4 continents.
As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, age, national origin, ethnicity, gender, disability, sexual orientation, gender identity or religion.
EUROPEAN DYNAMICS (ED)
adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in
www.eurodyn.com/privacy.
By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorise ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.
Location: Seattle, Washington; United States (Remote)
Workplace: Remote
SENIOR ENGINEERING MANAGER, OBSERVABILITY ENGINEERING
Temporal is an open source programming model that can simplify code, make applications more reliable, and help developers focus on the important things like delivering features faster. We are on a mission to be the reliable foundation of every developer's toolbox, and are building the team that will make that happen.
Our values guide us — they are present in how we show up, make decisions, and work together to make an impact. We're curious, driven, collaborative, genuine and humble.
Temporal is growing and we are looking for those who share our values, challenge 'standard' thinking, and want to influence our future. If you have a passion for improving the developer experience, building world-class open-source software and communities, and want to be a part of our amazing team, we'd love to hear from you!
Companies at the frontier of the AI revolution run on Temporal. OpenAI runs on Temporal, handling millions of requests. Cursor runs its cloud coding agents on Temporal at over 50 million actions a day across 7M+ workflows. Lovable, Abridge, and Hebbia build their agents on it too. In the last year alone, AI-native companies executed 1.86 trillion actions on Temporal Cloud, and the curve is still bending upwards. Backed by a recent $550M Series E at a $12.55B valuation, we are building the durable execution layer the agentic era depends on.
Observability is how we and our customers know that layer is holding. This role owns both halves of that problem. Internally, you own the telemetry platform our engineers use to run a multi-tenant service that some of the largest companies in the world rely on. Externally, observability is a product surface. Customers debug their own workflows through what we expose, and the quality of that experience is a key feature of the platform.
We are looking for a leader who has run observability at scale, treats telemetry cost and cardinality as first-class engineering constraints, and has the operational rigor to be accountable for live-site outcomes on a platform where reliability is the product.
RESPONSIBILITIES
- Observability roadmap: Own the team’s technical roadmap and delivery, aligned with broader engineering priorities. Evaluate build, buy, and open-source options, balancing reliability, customer needs, and cost.
- Technical leadership: Lead, hire, and grow a high-ownership team of engineers. Guide technical decisions through design and code reviews. Coach engineers, help them grow, and clear the friction that slows them down.
- Platform ownership: Own the ingestion, storage, query, and visualization path for high-cardinality telemetry across a multi-tenant, multi-cloud fleet. Enable self-serve capabilities to support a growing Engineering organization.
- Operational excellence: Own alerting and incident response tooling end to end. Drive the detection quality, routing, and clear, actionable runbooks that make on-call sustainable, and turn incident reviews into lasting reliability improvements.
- Customer-facing observability: Partner with Product and SDK teams on the telemetry Temporal exposes to customers: metrics, traces, and workflow-level diagnostics. Work directly with design-partner customers and integrate what you learn into the roadmap.
- Cost, capacity & economics: Own the unit economics of observability: cost per ingested series, per query, per namespace. Set cardinality budgets, drive consolidation where tool sprawl has crept in, and negotiate and manage vendor relationships against clear value criteria.
- Partner with Engineering, Product, Security, and Support to resolve competing priorities and deliver shared outcomes. Explain technical tradeoffs and risks clearly to senior leaders and non-specialist partners.
QUALIFICATIONS
- Proven experience leading engineering teams that build and operate observability, monitoring, or telemetry platforms at scale, with strong operational practices.
- Demonstrated success leading engineering teams that build and operate production observability platforms, including hiring, coaching, performance management, and delivery.
- 15+ years in software and/or infrastructure engineering, including 7+ years of people management, with demonstrated ownership of delivery and live-site outcomes.
- Experience hiring, leveling, and performance management.
- Strong distributed-systems expertise with the hands-on judgment to guide architecture and execution rather than guide it from a distance.
- Experience operating multi-tenant infrastructure that other people's production workloads depend on.
- Bachelor's degree in Computer Science or related field, or equivalent practical experience; advanced degree a plus.
- Excellent communication skills, with the ability to partner across engineering, product, and leadership and translate customer feedback into a roadmap.
REQUIRED SKILLS
- Strong leadership and coaching; ability to grow engineers and build a healthy, accountable, high-ownership team, including through reorgs, acquisitions, or platform migrations.
- Set priorities and deliver incremental improvements with incomplete information. Make tradeoffs explicit and adapt plans as customer and operational needs change.
- Command of the observability building blocks — metrics, logs, traces, profiling, and alerting and the tradeoffs between them at scale.
- Time-series and telemetry data fundamentals: cardinality control, retention and downsampling, query performance, and hot/cold storage tiering.
- Live-site reliability craft: SLA/SLO definition, on-call, incident management, and postmortem-driven continuous improvement.
- Ability to review and raise the bar on technical artifacts (design docs, code reviews) across a distributed-systems codebase.
PREFERRED EXPERIENCE
- Applying AI/LLM techniques to triage, anomaly detection, or incident summarization, with clear-eyed judgment about where they help and where they don't.
- OpenTelemetry at depth: collector architecture, semantic conventions, instrumentation strategy.
- The open-source observability stack in production: Prometheus, Mimir/Thanos/Cortex, Grafana, Loki, Tempo, ClickHouse.
- Building observability as a product for external developers, not only as internal tooling.
- Kubernetes internals and multi-cloud delivery across AWS, GCP, and Azure.
- Vendor consolidation or migration programs (commercial APM/SaaS to open-source, or the reverse) with measurable cost and reliability outcomes.
- Developer experience or engineering productivity backgrounds - treating internal engineers as customers with a measurable experience.
- Prior experience at a developer infrastructure or open-source-based company, where the community is part of the feedback loop.
Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity.
Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.
Location: Redwood City, CA
WHAT IS BOX?
Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.
By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.
WHY BOX NEEDS YOU
Box Shield
is an add-on security layer that protects the flow of information and reduces content-centric risk without adding friction. It uses classification-based controls to prevent data loss and AI-powered, context-aware alerts to detect malware, compromised accounts, and malicious behavior at scale.
Shield’s mission is to secure enterprise content while delivering a seamless user experience, ensuring Box remains the platform of choice for secure Intelligent Content Management. Shield keeps customer content safe by surfacing malware, compromised accounts, and anomalous behavior early, giving administrators the context they need to take proactive action before incidents escalate.
The Shield team is hiring Machine Learning engineers to build and scale ML systems that safeguard millions of users and billions of files from ransomware, data exfiltration, insider threats, and emerging AI-based attacks. As part of a fast-paced backend/core team, you’ll collaborate across Box to ship future-proof security capabilities for high-demand use cases.
WHAT YOU'LL DO
Build Threat Detection Models: Design, train, and deploy ML models for ransomware detection, suspicious session identification, and user behavior analytics
Scale Data Pipelines: Own end-to-end ML pipelines that process high-volume security event streams using Apache Spark, GCP Dataflow, and Vertex AI
Feature Engineering: Create and maintain feature stores that power real-time and batch anomaly detection systems
Production ML Systems: Deploy, monitor, and iterate on ML models in production, serving enterprise customers at scale
Cross-functional Collaboration: Partner with Platform, Application Engineering, and Product teams to translate security requirements into ML solutions
Participate in our on-call rotation, available at all times while on-call to help respond to and triage any issues that arise.
WHO YOU ARE
We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.
Must Have Experience
3+ years of experience in applied machine learning
Strong programming skills in Python
Deployed and maintained ML models serving real traffic
Experience with GCP (Vertex AI, BigQuery, Dataflow) or equivalent (AWS SageMaker, Azure ML)
Deep understanding of feature engineering, model evaluation, and MLOps
Strong communication skills with ability to explain complex ML concepts to non-technical stakeholders
Nice To Have Experience
Experience in security/threat detection, anomaly detection, or fraud detection
Experience with sequential data, anomaly detection, or behavioral modeling (time-series forecasting, LSTM, Transformers, or similar)
Knowledge of LLMs and AI safety (prompt injection, guardrails, red-teaming)
Experience with streaming/real-time ML systems
Familiarity with Java for service integrations
Publications or contributions in ML security
Tech Stack You’ll Work With
Languages: Python, Scala, Java
ML/Data: Apache Spark, Vertex AI, BigQuery, TensorFlow/PyTorch
Infrastructure: GCP, Kubernetes
Domains: User Behavior Analytics, Time-Series Anomaly Detection, AI Security, Content classification, Ransomware Detection
Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process.
At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in.
If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!
EQUAL OPPORTUNITY
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and independence of people with disabilities and is committed to giving them the same opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience.
Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete
this form
. Reasonable accommodations may include scheduling adjustments, document dictation and beyond.
Notice to applicants in Los Angeles: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance. The Fair Chance Ordinance is provided
here
.
Notice to applicants in San Francisco: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance. The Fair Chance Ordinance is provided
here
.
For details on how we protect your information when you apply, please see our
Personnel Privacy Notice.
If you are a California-resident, please read our California Applicant & Candidate Privacy Notice
here
.
NOTICE OF USE OF AI
At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage
here
.
Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits.
For more information
, check out our
benefits and perks
.
In accordance with OFCCP compliance, here is the
Pay Transparency Provision
.
Redwood City Pay Range
$175,500
—
$219,500 USD
Location: Remote (Canada)
Workplace: Remote
BUILD SOMETHING PEOPLE LOVE
Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $169 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada.
We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers.
About the team:
At Wealthsimple, we aren't just managing portfolios; we're rewriting the rules of how Canadians interact with credit. The Credit Analytics team own’s Wealthsimple's lending ecosystem, operating at the intersection of high-growth tech and data-driven underwriting.
We believe that being “credit-worthy” should mean more than just a traditional score. Our mission is to challenge the status quo, building inclusive products that empower millions of Canadians and the businesses they run to lead better financial lives. We’re growing fast, moving from small data to massive scale through iteration and experimentation.
We are extending our consumer credit expertise into business lending built for Canadian small and medium-sized businesses (SMBs). This is a true green-field build — new adjudication policy, new underwriting signals, and new risk infrastructure, informed by everything we've learned scaling our consumer card portfolio.
About the role:
We are looking for a Senior Associate to own credit policy for our business lending products, starting with a business credit card — from adjudication through the full account lifecycle. You will design and implement the underwriting framework that determines who qualifies and at what limit, build the line management strategies that govern how those limits evolve, and partner closely with collections to manage risk once accounts are on book.
Small business cards can be underwritten on the owner, or on the business as it grows. You’ll be working with cash flow, seasonality, industry, and business bureau data, which is usually thinner and messier than consumer bureau data. We need someone who has worked across that range and can turn it into automated policy instead of file-by-file decisions.
You will collaborate cross-functionally with Engineering, Product, Data Science, Fraud, and Client Experience to translate policy into shippable adjudication and monitoring systems, and you will have significant ownership over how this portfolio’s risk appetite is defined from day one.
In this role, you will have the opportunity to:
- Build a new lending program from the ground up with the breadth to see every part of it, from policy to funding, and the runway to grow into leading a lending line of business.
- Design and own the adjudication policy for a new business credit card, including entity-level underwriting criteria, principal/guarantor assessment, joint-liability, initial limit-setting, and approval decisioning.
- Own line management strategy for business credit products: credit limit increases and decreases, pricing, authorization rules, and active exposure management driven by cash-flow and balance monitoring.
- Partner with the collections team to design risk-managed treatment strategies specific to business accounts, and to build lifecycle monitoring that catches emerging risk early.
- Evaluate the performance of the business lending portfolio and your policies, using vintage analysis, cohort tracking, and champion/challenger testing to validate and refine underwriting decisions.
- Propose policy enhancements that improve marginal profitability while keeping risk within appetite, informed by rigorous root-cause analysis rather than surface-level metrics.
- Help define the data and underwriting infrastructure needed for SMB lending — including how to source, validate, and weigh business financial data alongside traditional bureau signals.
- Influence roadmaps across partner teams (Engineering, Product, Data Science, Fraud, and Client Experience) and implement policy that drives measurable impact.
We're looking for someone who:
- Has direct experience underwriting or setting credit policy for small and medium-sized businesses, this is a must-have for this role. Card experience isn't required; we'd love to hear from you if your background is in instalment loans or lines of credit.
- Writes SQL hands-on to self-serve data and build monitoring and analytics.
- Brings credit discipline to a ship-and-iterate environment, and is comfortable shaping policy while the product itself is still being defined.
- Can turn analysis into a clear recommendation for technical and non-technical audiences, weigh incomplete or noisy information and still reach well-grounded decisions.
- Is intellectually curious, passionate about their work, and wants ownership over their projects.
Preferred qualifications:
- 5+ years of experience in small business lending
- Knowledge of Canadian consumer credit bureau data (Equifax, TransUnion)
- Working knowledge of how business credit risk differs from consumer credit risk: entity vs. personal guarantor assessment, business bureau data (e.g., business credit bureaus), cash-flow-based underwriting, industry/sector risk, and revenue seasonality.
- Experience across the credit lifecycle: adjudication policy, line management, pricing, and collections strategy.
- Experience with statistical/quantitative analysis: experimental design, champion/challenger (or A/B) testing, model accuracy validation, constrained optimization, decision trees, discounted cash flows, financial modeling.
- Experience with Python, and GitHub. Airflow, AWS Redshift, and dbt are a plus.
WHY WEALTHSIMPLE?
🌸 Top-tier health benefits and life insurance
📈 Long-term group savings with employer match, through Wealthsimple for Business
🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year*
✈️ 90 days away: work outside Canada for up to 90 days per year*
👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS
🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work.
*Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles.
ICYMI
Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building.
Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status.
Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs.
AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.
Location: New York, New York, United States
About the Role
The ideal candidate for this role is a strong cloud architect who excels at both big-picture thinking as well as hands-on technical work. With very strong AWS, Kubernetes and web infrastructure skillsets, they will be working on projects building or improving our core compute, core network and edge infrastructure. They also play a critical role in helping the iCapital platform scale and doing so with an automation-first mentality. The engineer will work with application and platform teams to onboard services, establish connectivity, troubleshoot traffic flows, and maintain consistent networking patterns across environments.
Responsibilities
Design and continually improve Kubernetes architecture, also helping operationally manage cluster lifecycle.
Work on projects integrating new self-hosted and SaaS services, in some cases understanding and working with developers to help design software architecture
Manage Transit Gateway, Network Firewall and external connectivity. Own architectural guidance for edge and traffic management, including CDN, DNS, and TLS strategies (e.g., Akamai, Cloudflare).
Produce and maintain reference architectures, design documents, and architectural guardrails
Partner with engineering, security, and product teams to ensure platform standards are practical, well understood, and broadly adopted.
Qualifications
8+ years of experience in platform, cloud, or infrastructure engineering roles, with demonstrated architectural responsibility. Must have strong hands-on experience designing and operating Kubernetes platforms in production environments, including a strong understanding of autoscaling strategies, node provisioning, and security on EKS.
Deep understanding of AWS infrastructure, including networking, security primitives, and managed services. This includes expertise in cloud networking architecture patterns, including VPC design, routing, and planning for scale.
Strong understanding of ingress/egress, TGW design and private connectivity.
Comfortable operating as a senior individual contributor with influence across multiple teams as a leader.
Very Strong written and verbal communication skills, with the ability to explain architectural decisions to both technical and nontechnical audiences.
Preferred Qualifications
Expertise in Kong or other API Gateways at a deep level
Experience directly managing Akamai in a production environment
Strong understanding of application design principles
Some experience with EKS standards such as Bottlerocket, Karpenter, Auto-mode
A software engineering background is helpful, and some experience with Python expected.
Certifications (AWS / Kubernetes) are a plus but not required.
Benefits
The base salary range for this role is $150,000 to $190,000 depending on level. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Location: Brazil
About the Role
Join Alvys, an early-stage company transforming the $800B US freight industry. As a DevSecOps Engineer, you'll help protect our platform and the customer data it holds. You'll close cloud security gaps, build security checks into how we ship software, run our penetration testing program, and stand up the infrastructure behind our internal security, IT, and AI tools. This role combines hands-on infrastructure work with coordination across DevOps, engineering teams, IT & Security, and outside security vendors.
Industry Insight
Freight companies run their business on Alvys: loads, drivers, carriers, payments, and financial records. As more of the industry moves to modern software, customers expect that data to be protected like any other business-critical system. Security is part of how we earn and keep their trust.
About Alvys
Alvys is building a multi-tenant SaaS platform that powers modern transportation operations. We combine deep industry knowledge with strong technical execution to bring clarity, automation, and reliability to one of the world's most essential industries. Security is a shared responsibility at Alvys, and this role helps every team meet that bar.
Our Principles
Engineering Principles
Build for Real-World Impact.
Our users rely on Alvys to solve real problems, not abstract ones. Every security fix should reduce real risk to our platform and the people moving freight every day, not just clear a scanner finding.
Extreme Ownership and Empowerment.
Ownership extends beyond building. It means being accountable for quality, reliability, and customer impact. If it's in production, it's yours: bugs, uptime, and results.
Technology Debt is Strategic, Not Accidental.
Technical debt is a strategic choice, not an oversight. We incur it deliberately when it unlocks speed, learning, or market advantage. Our architecture remains clean, maintainable, and scalable as we grow.
Simplicity Scales; Complexity Costs.
Logistics is inherently complex, but our technology shouldn't be. We prioritize simplicity in our architecture, leveraging modularity and well-defined service boundaries to reduce cognitive load.
Radical Transparency.
We democratize data and make it accessible across all functions to drive alignment and decision-making. Transparency also means feedback. We systematize constructive feedback loops to ensure growth.
Engineering Culture
Move Fast, Learn Fast.
Speed is our advantage, but we move fast intentionally. We bias for action, assume positive intent, and treat every mistake as a learning opportunity.
Own the Outcome.
Every engineer owns outcomes, not tickets. We take responsibility end-to-end, identifying problems, delivering solutions, and ensuring they last.
Partner, Don't Gatekeep.
Security works best when it's built with the teams who own the systems. We share context with DevOps and engineering teams, explain the risk behind each ask, and make the secure path the easy one.
Pragmatism Over Purism.
Perfect security doesn't exist, but reduced risk does. We choose fixes that scale, are maintainable, and address real threats, not theoretical ones.
People Over Heroics.
We don't reward burnout or always-on behavior. Sustainability is a feature, not a luxury. If someone needs to slow down, unplug, or take care of life outside work, that's expected.
Responsibilities
Cloud security architecture
Design and deliver infrastructure changes that strengthen our cloud security posture, including network isolation and identity-based access.
Make these changes through infrastructure as code, plan rollouts that avoid customer downtime, and work with service owners to update the applications that depend on them.
Build secure defaults into our infrastructure modules so new resources start out compliant.
Vulnerability management and pipeline security
Help run our vulnerability management program, driving remediation within defined SLAs.
Extend our existing security scanning with AI-assisted security testing, such as automated security code review and AI-driven penetration testing.
Tune and improve the automation we already use to process security findings.
Penetration testing
Manage our third-party penetration tests from start to finish: scoping and targeting, test environments and accounts, vendor coordination, findings intake, and retesting.
Help mature our internal, AI-assisted penetration testing tool into a dependable part of the security program, including deployment and scheduled runs.
Infrastructure for security, IT, and AI tooling
Deploy and operate internal applications in Azure, with identity, secrets, networking, and backups set up correctly from day one.
Build telemetry pipelines (OpenTelemetry into Azure Monitor) for our AI and internal tools, with dashboards and alerts that surface anomalous activity.
Working with others
Partner with DevOps, engineering teams, and IT & Security to plan and prioritize work.
Write clear runbooks and documentation, and produce evidence for our SOC 2 program.
Tech Stack
Cloud: Azure (AKS, App Service, Azure Functions, Storage, Key Vault, Cosmos DB, VNets, Microsoft Entra ID)
Infrastructure as code: Terraform
CI/CD: GitHub Actions and Azure DevOps pipelines
Containers: Docker, Kubernetes, Azure Container Registry
Observability: Azure Monitor, App Insights, Log Analytics, OpenTelemetry, Grafana
Security: Aikido, Cloudflare
AI tooling: Cursor, Claude, Claude Platform (managed agents), Grokbot
Application code: .NET/C#, TypeScript, Angular, React
Minimum Qualifications
Fluent in English, spoken and written.
3+ years of professional experience in DevOps, cloud infrastructure, platform engineering, or security engineering.
Hands-on experience with at least one major cloud provider (Azure, AWS, or GCP), including networking, identity and access management, and secrets management.
Production experience with infrastructure as code, preferably Terraform.
Experience building and maintaining CI/CD pipelines.
Working knowledge of containers and Kubernetes.
Scripting skills in Python, PowerShell, or Bash.
Understanding of common security risks in cloud and web applications, and how to fix them.
Ability to explain technical risk clearly to engineers and non-engineers.
Preferred Qualifications
Experience with Azure specifically, including private endpoints, VNet integration, and Entra ID managed identities.
Experience with application security testing (SCA, SAST, DAST), and interest in applying AI to security testing.
Experience coordinating penetration tests or working with external security firms.
Experience with OpenTelemetry, Azure Monitor, or similar observability tools, including writing alert queries (KQL is a plus).
Familiarity with SOC 2, ISO 27001, or CIS Benchmarks.
Interest in AI tooling and how to deploy and monitor it safely.
Security certifications such as AZ-500, Security+, or similar are a plus.
Background in logistics or transportation is a bonus.
Location: Mexico
About the Role
Join Alvys, an early-stage company transforming the $800B US freight industry. As a DevSecOps Engineer, you'll help protect our platform and the customer data it holds. You'll close cloud security gaps, build security checks into how we ship software, run our penetration testing program, and stand up the infrastructure behind our internal security, IT, and AI tools. This role combines hands-on infrastructure work with coordination across DevOps, engineering teams, IT & Security, and outside security vendors.
Industry Insight
Freight companies run their business on Alvys: loads, drivers, carriers, payments, and financial records. As more of the industry moves to modern software, customers expect that data to be protected like any other business-critical system. Security is part of how we earn and keep their trust.
About Alvys
Alvys is building a multi-tenant SaaS platform that powers modern transportation operations. We combine deep industry knowledge with strong technical execution to bring clarity, automation, and reliability to one of the world's most essential industries. Security is a shared responsibility at Alvys, and this role helps every team meet that bar.
Our Principles
Engineering Principles
Build for Real-World Impact.
Our users rely on Alvys to solve real problems, not abstract ones. Every security fix should reduce real risk to our platform and the people moving freight every day, not just clear a scanner finding.
Extreme Ownership and Empowerment.
Ownership extends beyond building. It means being accountable for quality, reliability, and customer impact. If it's in production, it's yours: bugs, uptime, and results.
Technology Debt is Strategic, Not Accidental.
Technical debt is a strategic choice, not an oversight. We incur it deliberately when it unlocks speed, learning, or market advantage. Our architecture remains clean, maintainable, and scalable as we grow.
Simplicity Scales; Complexity Costs.
Logistics is inherently complex, but our technology shouldn't be. We prioritize simplicity in our architecture, leveraging modularity and well-defined service boundaries to reduce cognitive load.
Radical Transparency.
We democratize data and make it accessible across all functions to drive alignment and decision-making. Transparency also means feedback. We systematize constructive feedback loops to ensure growth.
Engineering Culture
Move Fast, Learn Fast.
Speed is our advantage, but we move fast intentionally. We bias for action, assume positive intent, and treat every mistake as a learning opportunity.
Own the Outcome.
Every engineer owns outcomes, not tickets. We take responsibility end-to-end, identifying problems, delivering solutions, and ensuring they last.
Partner, Don't Gatekeep.
Security works best when it's built with the teams who own the systems. We share context with DevOps and engineering teams, explain the risk behind each ask, and make the secure path the easy one.
Pragmatism Over Purism.
Perfect security doesn't exist, but reduced risk does. We choose fixes that scale, are maintainable, and address real threats, not theoretical ones.
People Over Heroics.
We don't reward burnout or always-on behavior. Sustainability is a feature, not a luxury. If someone needs to slow down, unplug, or take care of life outside work, that's expected.
Responsibilities
Cloud security architecture
Design and deliver infrastructure changes that strengthen our cloud security posture, including network isolation and identity-based access.
Make these changes through infrastructure as code, plan rollouts that avoid customer downtime, and work with service owners to update the applications that depend on them.
Build secure defaults into our infrastructure modules so new resources start out compliant.
Vulnerability management and pipeline security
Help run our vulnerability management program, driving remediation within defined SLAs.
Extend our existing security scanning with AI-assisted security testing, such as automated security code review and AI-driven penetration testing.
Tune and improve the automation we already use to process security findings.
Penetration testing
Manage our third-party penetration tests from start to finish: scoping and targeting, test environments and accounts, vendor coordination, findings intake, and retesting.
Help mature our internal, AI-assisted penetration testing tool into a dependable part of the security program, including deployment and scheduled runs.
Infrastructure for security, IT, and AI tooling
Deploy and operate internal applications in Azure, with identity, secrets, networking, and backups set up correctly from day one.
Build telemetry pipelines (OpenTelemetry into Azure Monitor) for our AI and internal tools, with dashboards and alerts that surface anomalous activity.
Working with others
Partner with DevOps, engineering teams, and IT & Security to plan and prioritize work.
Write clear runbooks and documentation, and produce evidence for our SOC 2 program.
Tech Stack
Cloud: Azure (AKS, App Service, Azure Functions, Storage, Key Vault, Cosmos DB, VNets, Microsoft Entra ID)
Infrastructure as code: Terraform
CI/CD: GitHub Actions and Azure DevOps pipelines
Containers: Docker, Kubernetes, Azure Container Registry
Observability: Azure Monitor, App Insights, Log Analytics, OpenTelemetry, Grafana
Security: Aikido, Cloudflare
AI tooling: Cursor, Claude, Claude Platform (managed agents), Grokbot
Application code: .NET/C#, TypeScript, Angular, React
Minimum Qualifications
Fluent in English, spoken and written.
3+ years of professional experience in DevOps, cloud infrastructure, platform engineering, or security engineering.
Hands-on experience with at least one major cloud provider (Azure, AWS, or GCP), including networking, identity and access management, and secrets management.
Production experience with infrastructure as code, preferably Terraform.
Experience building and maintaining CI/CD pipelines.
Working knowledge of containers and Kubernetes.
Scripting skills in Python, PowerShell, or Bash.
Understanding of common security risks in cloud and web applications, and how to fix them.
Ability to explain technical risk clearly to engineers and non-engineers.
Preferred Qualifications
Experience with Azure specifically, including private endpoints, VNet integration, and Entra ID managed identities.
Experience with application security testing (SCA, SAST, DAST), and interest in applying AI to security testing.
Experience coordinating penetration tests or working with external security firms.
Experience with OpenTelemetry, Azure Monitor, or similar observability tools, including writing alert queries (KQL is a plus).
Familiarity with SOC 2, ISO 27001, or CIS Benchmarks.
Interest in AI tooling and how to deploy and monitor it safely.
Security certifications such as AZ-500, Security+, or similar are a plus.
Background in logistics or transportation is a bonus.
ГибридBengaluru
seniorBangalore
San Jose, California, United States
New York, NY, United States
Зарплата не указана
seniorBrussels, Belgium
УдалённоseniorSeattle, Washington; United States (Remote)
США; Notice to applicants in Los Angeles: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance; Notice to applicants in San Francisco: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance
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