• Define, implement, and evolve data models and schemas in Postgres to support product and analytical use cases. • Develop and maintain our data access standards and patterns in our core backend systems with Python and Typescript. • Lead the definition, design, and phased migration to improved data models for core business concepts. • Work alongside product engineering teams to deliver features with correct and well-modeled data at the source. • Measure and improve data quality, correctness, stability, and usability improvements across our transactional systems. • Provide options around key initiatives and break down work into visible and achievable milestones, delivering incremental value. • Mentor and train other engineers throughout the organization and seek to continually improve our architecture and data modeling standards and engineering processes. • Improve data usability, trust, and developer productivity by building shared tooling, patterns, and documentation that make it easy for teams to produce and consume high-quality data. • Maintain and improve our transactional database infrastructure running in AWS. • Review SQL and data access code for our production systems. • Partner with engineers across the organization to ensure database migrations are executed correctly and safely. • Profile, analyze, and tune slow or inefficient queries in Postgres. • Leverage AI-powered tooling to enhance the software development lifecycle. • Drive security, reliability, scalability, observability, and cost-efficiency improvements across our deployed services. • Hands-on experience participating in an on-call rotation, responding to and resolving critical infrastructure and application issues promptly.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking an experienced Senior Software Engineer to be part of the development of end-to-end fraud detection solutions for our API team. Your primary responsibility will be building highly performant backend systems and infrastructure that handle large-scale real-time data processing. - Design, develop, and optimize backend systems for real-time data processing and web services. - Work with cross-functional teams to integrate backend components with other services, ensuring performance and scalability. - Conduct deep dives into problematic features, researching and analyzing their behavior to understand root causes and identify potential solutions. - Conduct performance tuning, debugging, and testing of backend systems to ensure reliability and efficiency. - Foster a data-driven culture by sharing engineering best practices and collaborating on cross-functional projects. - Participate in a shared on-call rotation. - Mentor junior developers, helping all team members grow in our mission, values, and abilities. Qualifications - 5+ years of experience in backend development - Strong, demonstrated experience in GoLang and/or Node.js with a willingness to learn. - Strong experience in designing, developing, and maintaining scalable backend systems. - Experience with building and optimizing APIs, real-time data processing systems, and microservices architectures. - Strong knowledge of SQL and experience with databases like DynamoDB, Redis, or Elasticsearch. - Proficiency with general software engineering tools: Git, IDEs, shell scripting, CI/CD. - Proficient in English for clear communication in a global, remote team. - Ability to work independently on tasks while effectively collaborating as a team member. - A strong desire to mentor and grow junior team members. Requirements - BS/MS in Computer Science, Data Science, or a related field, or equivalent work experience (Nice to Have). - Experience with infrastructure-as-code tools like Terraform or AWS CloudFormation (Nice to Have). - Practical experience with analytical storage systems like ClickHouse, Snowflake, BigQuery, Redshift, or Databricks (Nice to Have). - Experience with observability tools like Datadog or other monitoring and logging platforms (Nice to Have). - Understanding of modern containerization and orchestration technologies such as Docker and Kubernetes (Nice to Have). - Experience with working with large open-source projects (Nice to Have). - Demonstrated experience with both Node.js and Go in a backend context (Nice to Have). - Excellent understanding of Internet security & privacy mechanisms (Nice to Have). Benefits - For US-based employees, the cash compensation range for this role is $150,000 – $200,000. - Offers vary depending on relevant experience, education, certifications/licenses, skills, training, and market conditions. - We are dedicated to creating an inclusive work environment for everyone. - We highly encourage people from underrepresented groups in tech to apply.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Location: United States, Remote Key Responsibilities: - Advanced Google Cloud Platform (GCP) Architecture Design - Kubernetes and Container Orchestration Mastery - Edge Computing (GDCC) and IoT Solutions on GCP - Build highly reusable and modular Terraform modules for multi-environment infrastructure deployments. - Develop secure and automated CI/CD pipelines using tools like Cloud Build, GitHub Actions, Jenkins, or Spinnaker. - Design and enforce robust Identity and Access Management (IAM) strategies using Workload Identity Federation, OIDC, and RBAC on GCP and GDCC. - Integrate and manage GCP-native services such as Cloud Run, GKE, Cloud Functions, Secret Manager, and Pub/Sub. - Leverage Anthos and GKE Enterprise for managing Kubernetes workloads across distributed environments. - Drive infrastructure observability and logging using Cloud Monitoring, Logging, and Operations Suite. - Collaborate with application, security, and DevOps teams to ensure compliance with cloud security and regulatory standards. - Agile and DevOps Methodologies - Strategic Problem-Solving and Decision-Making - Cross-Functional Team Leadership - Advanced Technical Communication, Documentation, and road map planning - Monitor and optimize cloud performance, cost, and scalability Required Qualifications: - 7+ years in infrastructure architecture, DevOps, or cloud engineering roles. - Deep, hands-on expertise with Terraform (advanced level), including reusable modules, remote state, and workspaces. - Advanced knowledge of Google Cloud Platform (GCP) services and architectural patterns. - Experience with GDCC (Google Distributed Cloud). - Strong understanding of Cloud IAM, RBAC, and Workload Identity Federation for secure authentication across services. - Proficient in Python scripting for infrastructure automation and integration. - Solid background in cloud security, including encryption, firewall policies, VPC design, and service accounts. - Proven experience in building and maintaining CI/CD pipelines using Git-based workflows. - Experience working in Agile/DevOps environments Preferred Qualifications: - Bachelor’s degree in computer science or engineering - GCP and/or AWS Architect Certification (Associate or Professional level). - Experience with Google Distributed Cloud Edge, Hosted, or Connected deployments & GKE. - Knowledge of container security, Kubernetes network policies, and multi-tenant workload design. - Familiarity with SRE practices, infrastructure SLAs/SLOs, and incident response automation. - Experience integrating secrets management, policy enforcement, and compliance monitoring. The base compensation range for this role in the posted location is $94,248 - $191,950 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: - Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave - Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) - Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) - Life and disability insurance - Employee assistance programs - Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands. About the Role We are looking for a Senior Staff Platform Engineer to lead the design and evolution of our global cloud infrastructure, with deep expertise in Microsoft Azure. This role is ideal for a hands-on infrastructure expert with a track record of designing secure, scalable, and maintainable systems that support enterprise-grade SaaS platforms. You’ll play a critical role in building and operating the foundation of our modern data protection platform, helping define the future of our cloud architecture, disaster recovery readiness, and internal developer experience. What You’ll Do - Design, build, and evolve cloud infrastructure using modern Infrastructure-as-Code tools (Terraform, Pulumi) - Architect and manage core cloud services, including networking, identity/access control, account/subscription hierarchy, and resource governance - Define and implement cloud-based disaster recovery strategies that meet enterprise RTO/RPO requirements - Drive standards for high availability, security, scalability, and cost-efficiency across our cloud environments (Azure and/or AWS) - Lead initiatives that improve developer experience, platform reliability, and operational excellence - Build internal tooling and automation to simplify cloud adoption and resource provisioning for engineering teams - Serve as a technical leader and mentor, guiding engineers across platform, SRE, and product teams - Partner with security, compliance, and operations teams to enforce cloud architecture policies and guardrails - Represent the platform team in architecture reviews, planning discussions, and cross-functional programs Technologies You’ll Work With - Azure (e.g., VNETs, Azure AD, AKS, Private Link) - AWS (e.g., VPC, IAM, EKS, PrivateLink, Organizations) - Terraform, Pulumi, Kubernetes, Docker, Helm, GitHub Actions, Go, Bash, Python What You’ll Bring - 12+ years of experience in cloud infrastructure roles, with deep expertise in Azure - Experience designing and supporting production infrastructure for enterprise SaaS applications - Proven experience defining and implementing disaster recovery and business continuity plans in the cloud - Strong understanding of cloud networking, identity and access management, multi-account/subscription architecture, and policy enforcement - Proficiency in Infrastructure-as-Code (Terraform or Pulumi) and CI/CD systems - Skilled in scripting or programming (e.g., Bash, Python, or Go) - Demonstrated ability to lead large-scale technical initiatives and drive adoption of best practices - Experience mentoring engineers and influencing architecture beyond your immediate team - Clear, direct communicator who thrives in a fast-paced, collaborative environment Bonus Skills - Experience working in multi-cloud environments - Familiarity with internal developer platforms, service mesh, or API gateway patterns - Knowledge of cloud compliance frameworks and security best practices Please note: If the applicant is permanently present outside of the United States, Veeam reserves the right to refuse to consider the application for a job. Remote work is only possible in case the employee is located in the United States. #LI-Remote #LI-RW1 What you'll get - Unlimited paid time off, 12 paid holidays, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares - Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents - Medical, dental, and vision coverage starting on your first day - Mental health support, therapy sessions, and digital wellness tools via our Employee Assistance Program - 401(k) retirement plan with company matching contributions - Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time - AirVet: 24/7 virtual veterinary care at no cost - Legal services, identity protection, and supplemental health insurance options - Tax-advantaged spending accounts for healthcare, dependent care, and commuting - Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning Compensation Transparency Veeam is committed to pay transparency and equitable compensation. For this role, the compensation range below reflects the expected total target compensation (TTC), inclusive of base pay and a competitive performance-based bonus. For roles with a commission plan, the compensation range represents On Target Earnings (OTE), which includes base salary plus variable commission. When determining compensation, Veeam takes into consideration factors such as experience, education, skills, and geographic zone. Offers are typically made below the midpoint of the range. In addition to compensation, Veeam provides a comprehensive benefits package, including health coverage, retirement plans, and unlimited time off. U.S. Geographic Zones & Compensation Ranges (TTC / OTE) Zone 1: San Francisco Bay Area, New York City Boroughs $366,300—$680,200 USD Zone 2: Washington, California (excluding San Francisco Bay Area) $335,800—$623,500 USD Zone 3: Texas, Illinois, North Carolina, Colorado, Massachusetts, Pennsylvania, Virginia, Oregon, Nevada, Hawaii, New York (excluding NYC boroughs); Sales roles located in Georgia, Ohio, and Arizona $305,200—$566,800 USD Zone 4: All other US locations $265,600—$493,100 USD Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential. Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice. The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes. By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice. By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.