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Location: Philippines About the Role We are seeking a detail-oriented, multi-talented Medical Receptionist & Data Migration Specialist to assist our practice with a critical EHR transition while providing daily administrative and patient phone support. In this dual-capability role, you will be responsible for manually transferring, verifying, and organizing patient health records from Elation Health into Dakota Health . Simultaneously, you will support front-office operations by handling inbound and outbound patient calls, scheduling appointments, and managing daily practice administrative tasks. Requirements Key Responsibilities 1. Manual EHR Data Migration & Record Management Accurately transfer patient demographics, medical histories, medication lists, allergies, immunizations, and clinical notes from Elation Health into Dakota Health . Perform quality checks on migrated charts to ensure 100% data accuracy, completeness, and proper document categorizing. Audit transferred records against source files to resolve missing information or duplicate entries. 2. Patient Communications & Reception Support Answer inbound patient phone calls with a clear, professional, and welcoming telephone demeanor. Handle appointment scheduling, reschedules, cancellations, and visit confirmations directly within the EHR. Triage patient inquiries, collect basic demographic/insurance updates, and route clinical messages appropriately to providers. 3. General Administrative Operations Monitor central practice email inboxes and digital faxes, filing incoming documents into the appropriate patient charts. Assist with patient onboarding, intake form processing, and registration setup. Support daily practice administrative needs during downtime between calls and migration tasks. Qualifications & Requirements EHR Experience: Direct experience with Elation Health and/or Dakota Health (or demonstrated agility manually migrating clinical data between modern EHR systems). Front-Office Skills: Proven background as a Medical Receptionist handling phone calls, patient scheduling, and administrative workflows in a U.S. medical practice. Data Accuracy & Focus: Exceptional attention to detail and high accuracy standards when performing repetitive data entry and chart audits. Communication: Clear, articulate spoken English with strong telephone presence and customer service orientation. Technical Agility: High computer literacy with the ability to toggle seamlessly between EHR platforms, spreadsheet tracking logs, and cloud VOIP phone systems.

Определение видения и стратегии развития продукта, формирование целей и дорожной карты продукта для достижения ключевых метрик. Исследование потребностей клиента, улучшение клиентских путей сервиса, анализ обратной связи пользователей.

Location: Riyadh, Saudi Arabia We are looking for an experienced ServiceNow Technical Architect with strong hands-on experience in database migration projects , specifically involving Oracle databases . The ideal candidate should have personally participated in or led an end-to-end Oracle database migration , preferably involving migration from Oracle to another database platform, including RaptorDB / self-hosted database environments . Key Responsibilities Lead the technical architecture and execution of Oracle database migration projects . Design migration strategies, architecture, data mapping, transformation, validation, and reconciliation. Assess existing Oracle database environments, schemas, tables, dependencies, and data structures. Plan and execute migration activities from Oracle to RaptorDB or other target databases . Ensure data integrity, completeness, performance, and security throughout the migration. Coordinate with ServiceNow, database, infrastructure, application, and integration teams. Troubleshoot migration issues and develop solutions for data compatibility and performance challenges. Manage migration testing, validation, cutover, and post-migration support. Prepare technical documentation, migration plans, architecture diagrams, and rollback strategies. Requirements Required Experience 8+ years of IT experience , with strong experience as a ServiceNow Technical Architect / Senior Technical Consultant . Strong ServiceNow technical architecture and integration experience. Proven hands-on experience with Oracle database migration projects. Must have worked on at least one end-to-end Oracle migration project , not just Oracle administration or support. Experience with database-to-database migration , preferably Oracle → RaptorDB / self-hosted database . Strong knowledge of Oracle databases, SQL, schemas, data structures, dependencies, and migration challenges. Experience with data migration, ETL/data transformation, validation, reconciliation, and performance optimization. Experience working with APIs, integrations, middleware, and ServiceNow data/integration architecture. Strong troubleshooting and technical problem-solving skills. Excellent communication and stakeholder-management skills.

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Migration Engineer for GitLab Dedicated, you'll partner with customers to plan and deliver migrations from self-managed GitLab to GitLab Dedicated. You'll use GitLab Geo to replicate customer data and move customers onto fully managed, isolated GitLab environments with minimal disruption. You'll balance hands-on technical delivery with clear communication and project ownership, translating each customer's goals, timelines, and constraints into a practical plan and guiding them through cutover and validation. You'll use infrastructure as code and configuration as code practices, Kubernetes, cloud platforms, and network design to work within existing GitLab Dedicated environments. You'll also improve the tooling, scripts, and runbooks that make migrations repeatable and reduce manual work, while sharing insights from customer engagements with GitLab's Product and Engineering teams. Lead migrations from self-managed GitLab to GitLab Dedicated using GitLab Geo to replicate customer data Design migration runbooks and automation for repeatable cutovers, and validate target environments built with Terraform, Ansible, and Kubernetes What you’ll do Deliver customer migrations from initial assessment through planning, replication, cutover, and post-migration validation. Use GitLab Geo to replicate customer data, debug synchronization issues, identify root causes, and keep migrations on track. Design customer network connectivity within GitLab Dedicated constraints, including virtual private clouds, private connectivity, Domain Name System configuration, and firewall rules. Apply infrastructure as code and configuration as code practices to interact with and validate existing GitLab Dedicated environments. Advise customers on migration sequencing, cutover windows, integration requirements, risks, and clear next steps. Improve migration tooling, scripts, and runbooks to make delivery more reliable, repeatable, and efficient. Partner with Professional Services, Environment Automation, Product, and Engineering to resolve blockers, share field feedback, and keep delivery consistent. Manage multiple customer engagements while balancing customer outcomes, delivery priorities, and share technical knowledge with other engineers. What you’ll bring Experience delivering customer-facing migration, installation, training, or technical advisory engagements. Experience using, deploying, or configuring GitLab, with a solid understanding of Git and source control workflows. Experience with infrastructure as code or configuration as code tools such as Terraform, Ansible, Packer, Puppet, or Chef. Hands-on experience running Kubernetes workloads in production, including deployments, rollouts, and debugging crash loops, failed health checks, and scheduling issues. Experience with a major cloud provider such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure, along with working knowledge of network design and connectivity. Ability to read, understand, and modify infrastructure tooling, with familiarity in languages such as Go, Python, or Ruby. Ability to independently lead multiple customer projects, communicate clearly in written and spoken English, and build agreement in a remote, largely asynchronous environment. PubSec/Federal experience a plus. A solution-oriented approach, effective cross-functional collaboration, and a commitment to GitLab's values. Experience with GitLab Geo and replication is helpful, but deep expertise can be developed in the role. About the team Migration Engineers are part of GitLab's Dedicated Infrastructure organization. We work with Sales, Professional Services, Environment Automation, Product, and Engineering to coordinate delivery, resolve customer needs, and share field feedback that improves GitLab features and delivery practices. We work remotely and largely asynchronously across regions and time zones, with a focus on reliable delivery and long-term customer success. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $126,400 — $213,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Cairo, Egypt; Riyadh, Saudi Arabia; Dubai, United Arab Emirates; New Delhi, India; Tallinn, Estonia Müller’s Solutions is seeking an experienced ServiceNow Cloud Migration Lead to own and deliver the migration of a ServiceNow instance from a self-hosted (on-premise) environment to ServiceNow on GCP. This is a hands-on technical leadership role requiring deep platform knowledge and a structured delivery mindset. Key Responsibilities • Lead end-to-end migration planning: discovery, architecture, cutover, and post-migration validation • Conduct full assessment of the current on-prem instance (version, customizations, integrations, data volume) • Design the migration approach — clone-based lift, upgrade alignment, or phased rollout • Manage ServiceNow cloning, MID Server reconfiguration, and GCP connectivity • Audit and remediate custom scripts, flows, and integrations pre-migration • Coordinate with the client’s infrastructure and security teams on network, SSO, and firewall changes • Execute UAT support, regression testing, and hypercare post-go-live • Produce migration runbooks, risk registers, and cutover plans Requirements Required Skills • 5+ years on the ServiceNow platform; at least one completed cloud migration (on-prem → cloud) • Strong knowledge of ServiceNow architecture: MID Servers, instance cloning, upgrade paths • Hands-on experience with GCP networking concepts (VPC, Cloud Interconnect, DNS) • Proficiency in ServiceNow scripting (Business Rules, Script Includes, Flow Designer) • Integration experience: REST, SOAP, LDAP, SSO/SAML • Familiarity with ServiceNow PDI, instance hierarchy, and clone exclusion rules Nice to Have • CSA or CIS certification • Experience with ServiceNow Health Scan and ATF (Automated Test Framework) • Prior work in KSA/GCC enterprise environments

Location: Dubai, United Arab Emirates; Riyadh, Saudi Arabia; New Delhi, India; Cairo, Egypt; Tallinn, Estonia Muller's Solutions is seeking a Technical Lead specializing in Data Migration, Testing, and Quality Execution to lead migration activities and ensure the successful delivery of high-quality solutions on the Skadina platform. The ideal candidate will oversee data migration strategies, testing activities, and quality assurance processes while ensuring smooth implementation and data integrity throughout the project lifecycle. Key Responsibilities: Lead end-to-end data migration activities, including planning, mapping, transformation, validation, and reconciliation. Define and execute data migration strategies and methodologies for Skadina implementations. Oversee functional, integration, system, regression, and User Acceptance Testing (UAT) activities. Ensure data quality, integrity, and consistency throughout migration and deployment phases. Develop and review test plans, test cases, test scripts, and quality metrics. Coordinate defect management, issue resolution, and root cause analysis activities. Collaborate with architects, business analysts, developers, and business stakeholders to ensure successful project delivery. Support cutover planning, deployment activities, and post-go-live stabilization. Monitor project quality standards and ensure compliance with established processes and best practices. Provide technical leadership and mentorship to project teams during migration and testing phases. Prepare and maintain technical documentation, migration plans, and testing reports. Benefits Key Responsibilities: Lead end-to-end data migration activities, including planning, mapping, transformation, validation, and reconciliation. Define and execute data migration strategies and methodologies for Skadina implementations. Oversee functional, integration, system, regression, and User Acceptance Testing (UAT) activities. Ensure data quality, integrity, and consistency throughout migration and deployment phases. Develop and review test plans, test cases, test scripts, and quality metrics. Coordinate defect management, issue resolution, and root cause analysis activities. Collaborate with architects, business analysts, developers, and business stakeholders to ensure successful project delivery. Support cutover planning, deployment activities, and post-go-live stabilization. Monitor project quality standards and ensure compliance with established processes and best practices. Provide technical leadership and mentorship to project teams during migration and testing phases. Prepare and maintain technical documentation, migration plans, and testing reports. Required Qualifications: Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field. Minimum 8+ years of experience in enterprise application implementation, with significant experience in data migration and testing. Proven hands-on experience with the Skadina platform . Strong experience in data migration, ETL processes, data mapping, and data validation. Experience leading testing activities, including SIT, UAT, regression, and performance testing. Strong understanding of software quality assurance methodologies and defect management processes. Experience with test management and defect tracking tools. Excellent analytical, troubleshooting, and problem-solving skills. Strong communication and stakeholder management skills. Experience working in Agile/Scrum environments. Preferred Qualifications: Experience in large-scale digital transformation or migration projects. Experience in government or public sector projects is highly preferred. Knowledge of data governance and data quality frameworks. Experience with automation testing tools and quality assurance frameworks. Key Skills: Skadina Platform Data Migration & ETL Testing & Quality Assurance Data Validation & Reconciliation UAT, SIT & Regression Testing Defect Management Technical Leadership Root Cause Analysis Stakeholder Management Agile/Scrum Methodologies

Location: Riyadh, Saudi Arabia Müller's Solutions is seeking a Freelance Data Migration Specialist to join our team for a project-based engagement. In this role, you will be responsible for planning, executing, and managing the migration of data from legacy systems to a new system architecture, including integration into an existing data warehouse for business intelligence, analytics, and reporting. Your expertise in data migration techniques and tools will be essential to ensure data integrity, accuracy, and that deadlines are met. Responsibilities: Assess client requirements for data migration and develop migration strategies. Create and maintain detailed documentation of the migration process. Integrate migrated data into the existing data warehouse to support BI and analytics. Execute data extraction, transformation, and loading (ETL) processes. Perform data cleansing and validation to ensure data quality. Collaborate with stakeholders to gather data mapping specifications and business rules. Monitor and troubleshoot data migration processes to resolve issues promptly. Provide support to clients during the transition and ensure successful implementation. Stay current with best practices for data migration and related technologies. Requirements Requirements: Bachelor's degree in Computer Science, Information Technology, or a related field. Proven experience as a Data Migration Specialist or similar role. Strong understanding of data migration strategies, processes, and tools. Experience with ETL tools and data integration platforms. Proven experience in data migration projects, particularly involving Informatica Cloudand SQL. Experience working with government agencies, ideally within the Middle East and specifically Saudi Arabia. Experience with data cleansing and validation methods. Excellent problem-solving and analytical skills. Strong communication skills to liaise with team members and clients. Provide documentation and assurance of data quality and completeness. Ability to work independently and manage time effectively to meet project deadlines. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Quito, Ecuador Workplace: remote We are looking for a Supervisor to act as the single owner of courier and cargo onboarding flows, verification processes, and regulatory compliance for the Delivery Hub in Ecuador. In this role, you will sit within the Supply department, which builds and protects our supply base across all geographies, and bridge the gap between regulatory rigor, product experience, and funnel conversion. Your job is simple to describe but difficult to execute: build a seamless, compliant onboarding machine that converts leads into active couriers while protecting the business against regulatory risks in Ecuador. Key Responsibilities Own the courier and freight registration and verification funnel end-to-end in Ecuador holding final accountability for the aha-moment conversion rate. Develop the WatchDocs (registration platform) flow with the product team and agree on form configurations for the country. Monitor funnel metrics, diagnose anomalies, and run drop-off research (surveys, courier calls, field tests with local teams). Plan and execute WatchDocs data migrations from old to new platforms in Ecuador, tracking impact on registrations and conversion to avoid supply disruption. Own KYC, identity verification, and document requirements for the Courier and Freight verticals in Ecuador. Drive compliance platform features with engineering teams and maintain central compliance dashboards. Represent Delivery Hub in cross-vertical compliance discussions, balancing legal and regulatory risk against funnel performance with data-backed arguments. Prepare Ecuador  for upcoming regulatory changes (e.g., labor and platform reforms) and support new launches in highly regulated environments. Run supply funnel optimization projects, quantifying business impact (conversion, GMV, Net Revenue) together with analytics. Own onboarding and compliance streams in quarterly and annual planning, maintaining single-source dashboards and concise decision-oriented materials for senior leadership. Support the launch of fleet project in Ecuador. Qualifications Experience: 4+ years in project management or operations within ride-hailing, delivery, or marketplace platforms in Ecuador. Hands-on experience with registration/onboarding funnels, identity verification (KYC), or regulatory projects in these markets is a strong advantage. Technical & Data Skills: Proficiency in SQL (BigQuery) for independent data extraction/validation, experience building BI dashboards (Tableau or similar), and project management tool mastery (Jira, Confluence). Domain Expertise: Deep understanding of KYC/identity verification flows and core marketplace metrics (GMV, active supply, done rate, activation, funnel conversion), including local document and verification requirements in Ecuador. Regulatory-to-Product Translation: Strong ability to translate complex legal and regulatory mandates in Ecuador.  (e.g., labor and platform regulations) into clear product requirements while quantifying their business impact. Stakeholder & Cross-Cultural Management: Fluent in Spanish and English; Portuguese is an advantage. Strong communication skills for working with local teams across Ecuador. Confident pushing back on stakeholders with data when proposed requirements threaten conversion. Mindset: Extreme end-to-end ownership, pragmatic problem-solving in fast-changing regulatory environments, high execution discipline, and a long-term strategic vision. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, and social impact projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Final benefits may vary depending on the location.

Location: Cairo, Egypt Workplace: hybrid We are looking for a Senior Data Engineer to join one of the Data Platform teams that works with the Marketing, Growth, partner, and financial data domains. You will be working with cutting edge cloud technologies (GCP, AWS, BigQuery, Databricks, K8s) and building a large scale data infrastructure for analytics, machine learning, and streaming/CDC data delivery. Key Responsibilities Build and operate batch and streaming ingestion into a layered BigQuery DWH (raw → ODS → data marts) using Airflow, Debezium CDC over Kafka with protobuf, Pub/Sub, and Dataflow Integrate external data sources end-to-end — marketing platforms (GA4, AppsFlyer, TikTok/Meta/Google Ads), payment providers, S3 buckets, and third-party APIs — including schema contracts, backfills, and reconciliation Engineer the data platform itself in Python: custom Airflow operators and connectors in a shared ETL framework, Kafka Connect on Strimzi (K8s), Cloud Functions, and API integrations with external providers Build CI/CD and change-management tooling for BigQuery: GitHub-based test-and-approval flows, SQL migration engines (Liquibase/Flyway/Bytebase), sandbox validation, backup and rollback Own reliability and correctness of pipelines: idempotency, deduplication, late-data handling, backfill and replay, freshness monitoring and alerting; write integration and unit tests Drive data governance and compliance: ITGC-compliant change management for BigQuery, IAM and least-privilege access, PII policy tags and DLP, Unity Catalog on Databricks, column-level lineage (OpenMetadata/Dataplex), and disaster-recovery planning Build internal data tools and platform services for agentic workflows with data — Streamlit apps, Slack bots, LLM-based agents and MCP servers that help teams find and use data Support analysts and business teams with data requests, fostering data-driven decision-making across the company Contribute to system design and architecture with the development team Skills, Knowledge and Expertise Strong practical Python: clean, well-structured, and tested code for services, tooling, and data pipelines Solid software design skills (OOP, modularity, design patterns) — we build platform tools for agentic workflows with data and plan to develop data-related backend services, so well-designed code is highly valued Experience building and operating services in a cloud environment (GCP, AWS or similar): CI/CD, containerization, monitoring and alerting Familiarity with Kubernetes and Terraform — our infrastructure runs on GCP/K8s Hands-on experience with DWH-related tasks (BigQuery or another cloud warehouse) and confident working SQL Clear communication with non-engineering stakeholders — a meaningful share of the work is data requests from analysts and business teams Demonstrated ability to take ownership of technologies or services and proactively contribute ideas to the team Nice to have Advanced SQL: complex queries, window functions, partitioning, clustering, and cost optimization Experience building reliable pipelines around CDC (e.g., Debezium): idempotency, schema evolution, backfills, and reconciliation Analytical data modeling skills: table grain, facts vs dimensions, slowly changing dimensions, and metric definitions Experience with stream processing frameworks such as Flink or Apache Beam/Dataflow Exposure to data governance and audit compliance (ITGC/SOX), Databricks Unity Catalog, or lineage/catalog tooling (OpenMetadata, Dataplex) Interest in building LLM-based agents and AI tooling for data Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid We are looking for a Project Manager, Courier Onboarding & Compliance to act as the single owner of courier and cargo onboarding flows, verification processes, and regulatory compliance across the Delivery Hub. In this role, you will sit within the Supply department — which builds and protects our supply base across all geographies — and bridge the gap between regulatory rigor, product experience, and funnel conversion. Your job is simple to describe but difficult to execute: build a seamless, compliant onboarding machine that converts leads into active couriers while protecting the business against regulatory risks across diverse international markets. Key Responsibilities Own courier & freight onboarding & registration Own the registration and verification funnel end-to-end, holding final accountability for the aha-moment conversion rate. Develop the WatchDocs (registration platform) flow in close partnership with the product team and agree on per-country form configurations. Monitor funnel metrics, diagnose anomalies, and run drop-off research (surveys, courier calls, field tests with local teams). Drive platform migrations & scalability Plan and execute WatchDocs data migrations from old to new platforms on a country-by-country basis. Track migration impact on registrations and overall conversion, ensuring smooth transitions without supply disruption. Lead supply compliance & risk management Own KYC, identity verification, and document requirements for the Courier and Freight verticals, driving final accountability for the share of compliant GMV. Drive compliance platform development with the engineering team and maintain central compliance dashboards. Drive compliance platform features with engineering teams. Represent Delivery Hub in cross-vertical & regulatory initiatives Act as the primary advocate for Delivery Hub in cross-vertical compliance discussions, balancing legal and regulatory risk against funnel performance with data-backed arguments. Prepare markets for upcoming regulatory changes (e.g., labor reforms in Kazakhstan, Colombia) and support new market launches in highly regulated environments. Drive optimization projects & operating rhythm Run supply funnel optimization projects, quantifying business impact (conversion, GMV, Net Revenue) in coordination with analytics. Own onboarding and compliance streams in quarterly/annual planning, maintaining single-source dashboards and concise decision-oriented materials for senior leadership. Qualifications Experience: 4+ years in project management or operations within ride-hailing, delivery, or marketplace platforms. Hands-on experience with registration/onboarding funnels, identity verification (KYC), or regulatory projects is a strong advantage. Technical & Data Skills: Proficiency in SQL (BigQuery) for independent data extraction/validation, experience building BI dashboards (Tableau or similar), and project management tool mastery (Jira, Confluence). Domain Expertise: Deep understanding of KYC/identity verification flows and core delivery marketplace metrics (GMV, active supply, done rate, activation, funnel conversion). Regulatory-to-Product Translation: Strong ability to translate complex legal and regulatory mandates into clear product requirements while quantifying their business impact. Stakeholder & Cross-Cultural Management: Fluent in English with strong cross-cultural communication skills (working with local teams across Central Asia, Africa, LatAm, and South Asia). Confident pushing back on stakeholders with data when proposed requirements threaten conversion. Mindset: Extreme end-to-end ownership, pragmatic problem-solving in fast-changing regulatory environments, high execution discipline, and a long-term strategic vision. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Uttar Pradesh, Noida, India PIPECARE Group is looking for an experienced Chief Accountant - India & Far East based in Noida. By providing technology and service focused solutions to the international arena of the oil and gas industry, the PIPECARE Group of companies has been helping our customers ensure the integrity of their pipeline and facility assets for over 25 years. Core responsibilities P&L ownership and reporting P&L ownership. Own the India & Far East P&L number and report it to the Head of Finance on the Group calendar, independent of the regional General Manager. Close. Lead the monthly, quarterly and year-end close, delivering entity financial packs to the Group reporting calendar. Reporting and MIS. Prepare the region's Balance Sheet, Income Statement, Cash Flow and Statement of Equity, and the monthly MIS pack for the Head of Finance and Group CFO. One version of the truth. Act as an independent source of financial truth, cross-checking with the wider finance function and the Commercial Control Centre. Books, controls and compliance General ledger. Maintain the general ledger and balance sheet for all entities in scope, with every account reconciled and substantiated. Internal controls. Maintain financial policies and the internal control framework and enforce segregation of duties across creation, review and approval. India statutory and tax. Own GST, TDS/TCS, corporate income tax, tax audit, transfer-pricing filings and MCA / ROC filings under the Companies Act and support the pending India entity merger. Regional compliance. Monitor Far East compliance with the Group tax advisors and oversee the Americas compliance delivered by the US-qualified Senior Accountant; raise a monthly compliance report. Audit. Support the annual statutory and Group audits, resolving auditor queries with tax advisors and banks. Payments, AP and AR AP and AR ledgers. Hold the accounts payable and receivable ledgers within Finance for the region, overseeing invoicing, collections follow-up and head-office payment controls. Payment creation. Create the region's payments from the approved payment calendar and budget; Treasury arranges the funds and executes. Payroll. Oversee regional payroll, including leave salary, gratuity and final settlements, reviewing HR's payroll before disbursement. Banking and guarantees. Review bank guarantees, letters of credit and banking documents before submission, within the Group Bank Guarantee Procedure. Assets, ERP and team Fixed assets and inventory. Maintain the fixed asset register with correct capitalization and depreciation and verify physical inventory against the books, investigating variances. Project Haya (Odoo). Co-own the finance design, testing, migration and go-live readiness for Odoo in the region, then run the close in Odoo and drive automation of accounting workflows. Intercompany. Own intercompany reconciliations and cross-charges in line with the Group transfer-pricing policies, keeping the chart of accounts consistent across the five units. Team. Supervise, mentor and develop the 2 India-based reportees, setting workflows and reviewing outputs. Requirements Education. Chartered Accountant (ICAI) preferred; ACCA, CPA, CMA or equivalent also considered. An oil & gas, EPC or projects background is a strong advantage. Experience. At least 10 years in accounting, including time as a Chief Accountant, in a multi-entity or multi-country group, with a demonstrated record of owning a full accounting cycle and a regional P&L, not supporting one. Technical depth. Strong command of the monthly close, IFRS reporting, and India statutory and tax (GST, TDS, income tax, transfer pricing, Companies Act / ROC). Familiarity with Far East reporting; the ability to supervise a US-qualified accountant delivering the Americas is an advantage. Systems. Strong ERP and Excel skills. Odoo experience or an appetite to work through a new ERP implementation, is a distinct advantage. Leadership readiness. Ready to own a regional P&L and lead a small team to a disciplined, timely reporting standard. Essential Skills Accurate and disciplined, with the judgement to get details and timing right every time. Trustworthy with controls and mandates, and comfortable enforcing segregation of duties. Organized and calm under deadline pressure across multiple entities and currencies. Clear and professional in English, with auditors, banks and stakeholders alike. Proactive and commercially sharp, the kind of person who brings the Head of Finance the solution, not just the problem.

Location: Annapolis Junction, MD, United States Job Title Mid‑Level Systems Integration Engineer (Linux, Unix, C) Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public‑sector clients. Locations Annapolis Junction, MD Shifts Available Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description IDS is seeking a Mid‑Level Systems Integration Engineer to support enterprise computer systems and network operations. The engineer will manage and analyze system and network environments, translate user needs into technical solutions, support system migrations, and evaluate technologies to enhance agency standard solutions. Key Duties • Manage enterprise computer systems and networks by analyzing technical issues and implementing corrective actions • Monitor and interpret visual outputs indicating operational status of systems and network infrastructure • Translate user requests into technical diagnoses and implement solutions to meet operational needs • Develop and support migration strategies to transition customers to new architectures or technologies with minimal impact • Evaluate new technologies and equipment for integration into agency standard solutions Requirements • Bachelor’s degree with five (5) years of relevant experience, or Master’s degree with three (3) years, or Associate’s degree with seven (7) years, or high school diploma/GED with nine (9) years of relevant experience • Degree in Network Engineering, Systems Engineering, Information Technology, or related field • Strong experience with Linux systems • Experience in systems administration, network administration, application administration, or IT support • Experience supporting hardware installation such as servers or network infrastructure • Experience configuring storage solutions such as network‑attached storage • Experience implementing security best practices including PKI certificate generation, deployment, and maintenance • Knowledge of Unix shell scripting languages such as Bash, Bourne, or C • Must possess an IAT‑I certification (e.g., Security+ CE) • Relevant experience must include computer or information systems design or development, programming, information or cyber security, network security, vulnerability analysis, computer forensics, information assurance, or systems engineering • Experience in network or system administration • Active TS/SCI with Polygraph Compensation • Salary range: $110,000 – $130,000 • Benefits

Location: Serbia We're a fast-growing Series A startup ($34M raised, $10.3M ARR, 75% gross margin) building the unified marketing intelligence platform for enterprises like Spotify, Asus, and Colgate. Our Platform Team owns the core data pipeline infrastructure powering 500+ integrations — and we're now rebuilding how that work gets done, with AI at the center. We're looking for a Principal Engineer who can set the technical direction for AI-assisted engineering across the Platform Team — someone who doesn't just use AI tools, but defines how they're used responsibly at scale. About the Role You'll be the architectural voice on the Platform Team, shaping how we design, build, and evolve our core Python-based extraction and load infrastructure. More than that, you'll own the engineering practices shift: defining how agentic coding, AI-assisted development, and LLM tooling integrate into our delivery process without sacrificing reliability or maintainability. This is a hands-on role — you'll be writing code, reviewing architecture, and mentoring engineers, not just advising. Responsibilities Own platform architecture: design and evolve data extraction, load, and pipeline systems serving 500+ integrations at scale Identify architectural bottlenecks and drive performance/reliability improvements at scale (Kubernetes, distributed systems, ClickHouse/PostgreSQL) Lead modernization of legacy systems into scalable, AI-native infrastructure Design and implement agentic development frameworks for codebase maintenance and continuous improvement — owning the full loop from AI-assisted development to automated acceptance and rollout, with proper validation, testing, and architectural guardrails Make and document key technical decisions; set the bar for code quality, system reliability, and performance Mentor and level up engineers on AI-assisted development practices — help them ship faster without introducing hidden risk Collaborate cross-functionally with product and AI teams on agentic framework rollout and new integration capabilities Requirements 7+ years of backend engineering (hands-on programming), with at least 2 years in a principal/architect-level role owning production systems You've designed and scaled complex systems, not just maintained them Hands-on experience with AI-assisted development (Claude Code, agentic coding) — you ship with it, know its limits and where they break, and have built agentic frameworks for code maintenance and rollout Strong distributed systems background: Kubernetes, workflow orchestration (e.g. Temporal), message queues (e.g. RabbitMQ) Experience building secure systems that are hard to break, hard to breach, and resilient Experience with reliability practices at scale: observability, alerting, incident response Solid SQL and query optimization across PostgreSQL and ClickHouse Comfortable with ambiguity and high-velocity, fast-shifting priorities — we move like a startup, not a committee Ability to work within EST timezone Fluency in English Nice to Have Track record of defining engineering standards and driving adoption across a team Experience migrating legacy pipeline systems Background in data integration or ETL infrastructure What We Offer Remote-first environment Direct impact on platform architecture — your decisions matter Modern AI-native tech stack with real freedom to experiment 20 PTO days + US holidays Stock options Professional development reimbursement Optional relocation assistance to Latin America after trial period

Location: Georgia We're a fast-growing Series A startup ($34M raised, $10.3M ARR, 75% gross margin) building the unified marketing intelligence platform for enterprises like Spotify, Asus, and Colgate. Our Platform Team owns the core data pipeline infrastructure powering 500+ integrations — and we're now rebuilding how that work gets done, with AI at the center. We're looking for a Principal Engineer who can set the technical direction for AI-assisted engineering across the Platform Team — someone who doesn't just use AI tools, but defines how they're used responsibly at scale. About the Role You'll be the architectural voice on the Platform Team, shaping how we design, build, and evolve our core Python-based extraction and load infrastructure. More than that, you'll own the engineering practices shift: defining how agentic coding, AI-assisted development, and LLM tooling integrate into our delivery process without sacrificing reliability or maintainability. This is a hands-on role — you'll be writing code, reviewing architecture, and mentoring engineers, not just advising. Responsibilities Own platform architecture: design and evolve data extraction, load, and pipeline systems serving 500+ integrations at scale Identify architectural bottlenecks and drive performance/reliability improvements at scale (Kubernetes, distributed systems, ClickHouse/PostgreSQL) Lead modernization of legacy systems into scalable, AI-native infrastructure Design and implement agentic development frameworks for codebase maintenance and continuous improvement — owning the full loop from AI-assisted development to automated acceptance and rollout, with proper validation, testing, and architectural guardrails Make and document key technical decisions; set the bar for code quality, system reliability, and performance Mentor and level up engineers on AI-assisted development practices — help them ship faster without introducing hidden risk Collaborate cross-functionally with product and AI teams on agentic framework rollout and new integration capabilities Requirements 7+ years of backend engineering (hands-on programming), with at least 2 years in a principal/architect-level role owning production systems You've designed and scaled complex systems, not just maintained them Hands-on experience with AI-assisted development (Claude Code, agentic coding) — you ship with it, know its limits and where they break, and have built agentic frameworks for code maintenance and rollout Strong distributed systems background: Kubernetes, workflow orchestration (e.g. Temporal), message queues (e.g. RabbitMQ) Experience building secure systems that are hard to break, hard to breach, and resilient Experience with reliability practices at scale: observability, alerting, incident response Solid SQL and query optimization across PostgreSQL and ClickHouse Comfortable with ambiguity and high-velocity, fast-shifting priorities — we move like a startup, not a committee Ability to work within EST timezone Fluency in English Nice to Have Track record of defining engineering standards and driving adoption across a team Experience migrating legacy pipeline systems Background in data integration or ETL infrastructure What We Offer Remote-first environment Direct impact on platform architecture — your decisions matter Modern AI-native tech stack with real freedom to experiment 20 PTO days + US holidays Stock options Professional development reimbursement Optional relocation assistance to Latin America after trial period

Location: Armenia We're a fast-growing Series A startup ($34M raised, $10.3M ARR, 75% gross margin) building the unified marketing intelligence platform for enterprises like Spotify, Asus, and Colgate. Our Platform Team owns the core data pipeline infrastructure powering 500+ integrations — and we're now rebuilding how that work gets done, with AI at the center. We're looking for a Principal Engineer who can set the technical direction for AI-assisted engineering across the Platform Team — someone who doesn't just use AI tools, but defines how they're used responsibly at scale. About the Role You'll be the architectural voice on the Platform Team, shaping how we design, build, and evolve our core Python-based extraction and load infrastructure. More than that, you'll own the engineering practices shift: defining how agentic coding, AI-assisted development, and LLM tooling integrate into our delivery process without sacrificing reliability or maintainability. This is a hands-on role — you'll be writing code, reviewing architecture, and mentoring engineers, not just advising. Responsibilities Own platform architecture: design and evolve data extraction, load, and pipeline systems serving 500+ integrations at scale Identify architectural bottlenecks and drive performance/reliability improvements at scale (Kubernetes, distributed systems, ClickHouse/PostgreSQL) Lead modernization of legacy systems into scalable, AI-native infrastructure Design and implement agentic development frameworks for codebase maintenance and continuous improvement — owning the full loop from AI-assisted development to automated acceptance and rollout, with proper validation, testing, and architectural guardrails Make and document key technical decisions; set the bar for code quality, system reliability, and performance Mentor and level up engineers on AI-assisted development practices — help them ship faster without introducing hidden risk Collaborate cross-functionally with product and AI teams on agentic framework rollout and new integration capabilities Requirements 7+ years of backend engineering (hands-on programming), with at least 2 years in a principal/architect-level role owning production systems You've designed and scaled complex systems, not just maintained them Hands-on experience with AI-assisted development (Claude Code, agentic coding) — you ship with it, know its limits and where they break, and have built agentic frameworks for code maintenance and rollout Strong distributed systems background: Kubernetes, workflow orchestration (e.g. Temporal), message queues (e.g. RabbitMQ) Experience building secure systems that are hard to break, hard to breach, and resilient Experience with reliability practices at scale: observability, alerting, incident response Solid SQL and query optimization across PostgreSQL and ClickHouse Comfortable with ambiguity and high-velocity, fast-shifting priorities — we move like a startup, not a committee Ability to work within EST timezone Fluency in English Nice to Have Track record of defining engineering standards and driving adoption across a team Experience migrating legacy pipeline systems Background in data integration or ETL infrastructure What We Offer Remote-first environment Direct impact on platform architecture — your decisions matter Modern AI-native tech stack with real freedom to experiment 20 PTO days + US holidays Stock options Professional development reimbursement Optional relocation assistance to Latin America after trial period

Location: Brazil We're a fast-growing Series A startup ($34M raised, $10.3M ARR, 75% gross margin) building the unified marketing intelligence platform for enterprises like Spotify, Asus, and Colgate. Our Platform Team owns the core data pipeline infrastructure powering 500+ integrations — and we're now rebuilding how that work gets done, with AI at the center. We're looking for a Principal Engineer who can set the technical direction for AI-assisted engineering across the Platform Team — someone who doesn't just use AI tools, but defines how they're used responsibly at scale. About the Role You'll be the architectural voice on the Platform Team, shaping how we design, build, and evolve our core Python-based extraction and load infrastructure. More than that, you'll own the engineering practices shift: defining how agentic coding, AI-assisted development, and LLM tooling integrate into our delivery process without sacrificing reliability or maintainability. This is a hands-on role — you'll be writing code, reviewing architecture, and mentoring engineers, not just advising. Responsibilities Own platform architecture: design and evolve data extraction, load, and pipeline systems serving 500+ integrations at scale Identify architectural bottlenecks and drive performance/reliability improvements at scale (Kubernetes, distributed systems, ClickHouse/PostgreSQL) Lead modernization of legacy systems into scalable, AI-native infrastructure Design and implement agentic development frameworks for codebase maintenance and continuous improvement — owning the full loop from AI-assisted development to automated acceptance and rollout, with proper validation, testing, and architectural guardrails Make and document key technical decisions; set the bar for code quality, system reliability, and performance Mentor and level up engineers on AI-assisted development practices — help them ship faster without introducing hidden risk Collaborate cross-functionally with product and AI teams on agentic framework rollout and new integration capabilities Requirements 7+ years of backend engineering (hands-on programming), with at least 2 years in a principal/architect-level role owning production systems You've designed and scaled complex systems, not just maintained them Hands-on experience with AI-assisted development (Claude Code, agentic coding) — you ship with it, know its limits and where they break, and have built agentic frameworks for code maintenance and rollout Strong distributed systems background: Kubernetes, workflow orchestration (e.g. Temporal), message queues (e.g. RabbitMQ) Experience building secure systems that are hard to break, hard to breach, and resilient Experience with reliability practices at scale: observability, alerting, incident response Solid SQL and query optimization across PostgreSQL and ClickHouse Comfortable with ambiguity and high-velocity, fast-shifting priorities — we move like a startup, not a committee Ability to work within EST timezone Fluency in English Nice to Have Track record of defining engineering standards and driving adoption across a team Experience migrating legacy pipeline systems Background in data integration or ETL infrastructure What We Offer Remote-first environment Direct impact on platform architecture — your decisions matter Modern AI-native tech stack with real freedom to experiment 20 PTO days + US holidays Stock options Professional development reimbursement Optional relocation assistance to Latin America after trial period

Location: Argentina We're a fast-growing Series A startup ($34M raised, $10.3M ARR, 75% gross margin) building the unified marketing intelligence platform for enterprises like Spotify, Asus, and Colgate. Our Platform Team owns the core data pipeline infrastructure powering 500+ integrations — and we're now rebuilding how that work gets done, with AI at the center. We're looking for a Principal Engineer who can set the technical direction for AI-assisted engineering across the Platform Team — someone who doesn't just use AI tools, but defines how they're used responsibly at scale. About the Role You'll be the architectural voice on the Platform Team, shaping how we design, build, and evolve our core Python-based extraction and load infrastructure. More than that, you'll own the engineering practices shift: defining how agentic coding, AI-assisted development, and LLM tooling integrate into our delivery process without sacrificing reliability or maintainability. This is a hands-on role — you'll be writing code, reviewing architecture, and mentoring engineers, not just advising. Responsibilities Own platform architecture: design and evolve data extraction, load, and pipeline systems serving 500+ integrations at scale Identify architectural bottlenecks and drive performance/reliability improvements at scale (Kubernetes, distributed systems, ClickHouse/PostgreSQL) Lead modernization of legacy systems into scalable, AI-native infrastructure Design and implement agentic development frameworks for codebase maintenance and continuous improvement — owning the full loop from AI-assisted development to automated acceptance and rollout, with proper validation, testing, and architectural guardrails Make and document key technical decisions; set the bar for code quality, system reliability, and performance Mentor and level up engineers on AI-assisted development practices — help them ship faster without introducing hidden risk Collaborate cross-functionally with product and AI teams on agentic framework rollout and new integration capabilities Requirements 7+ years of backend engineering (hands-on programming), with at least 2 years in a principal/architect-level role owning production systems You've designed and scaled complex systems, not just maintained them Hands-on experience with AI-assisted development (Claude Code, agentic coding) — you ship with it, know its limits and where they break, and have built agentic frameworks for code maintenance and rollout Strong distributed systems background: Kubernetes, workflow orchestration (e.g. Temporal), message queues (e.g. RabbitMQ) Experience building secure systems that are hard to break, hard to breach, and resilient Experience with reliability practices at scale: observability, alerting, incident response Solid SQL and query optimization across PostgreSQL and ClickHouse Comfortable with ambiguity and high-velocity, fast-shifting priorities — we move like a startup, not a committee Ability to work within EST timezone Fluency in English Nice to Have Track record of defining engineering standards and driving adoption across a team Experience migrating legacy pipeline systems Background in data integration or ETL infrastructure What We Offer Remote-first environment Direct impact on platform architecture — your decisions matter Modern AI-native tech stack with real freedom to experiment 20 PTO days + US holidays Stock options Professional development reimbursement Optional relocation assistance to Latin America after trial period

Location: Argentina About Improvado Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like Genentech, T-Mobile, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We’re a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution. About the role Improvado is a marketing data platform for enterprise brands and agencies. You will own how our revenue runs and how it is measured. That covers Salesforce and the GTM tools, the path from signed contract to paid invoice, the revenue data model, and the reports leadership decides from. You work closely with the analytics team: you don’t have to build the data models yourself, but you must read them, spot what is wrong and say what to change. You work through AI agents daily, doing the work of a bigger team. What you will do Salesforce and GTM stack Own Salesforce configuration, release process and user access, plus the integrations around it (Gong, Clay, Lemlist, enrichment, e-signature, lead routing). Keep CRM data clean with guardrails that block mistakes. Manage licences and vendor renewals. Maintain the Salesforce manual and RevOps SOPs, and train new hires. Contract to cash Own ARR and bookings logic (new, upsell, downsell, churn, renewals) and keep agreement, opportunity, and invoice consistent. Run the closed-deals and billing check with Finance. Fix errors at the source and add a control so they don’t repeat. Audit invoices, track and chase unpaid ones, and prepare quarterly commission and quota reports. Revenue analytics and data model Own the quarterly sales analytics pack, the CRO report, the forecast and pipeline coverage (including CS renewal inputs). Track funnel conversion, explain why deals move, stall or slip, and keep attribution correct with Marketing. Query ClickHouse daily, trace any number to its source, and write specs for model changes. Give each metric one documented definition and add data quality checks. Build leadership dashboards, retire unused ones, and end every analysis with a recommendation, a number and an owner. AI and automation Use coding agents (Claude Code, Codex) for queries, scripts and Salesforce automation, and always verify their output. Automate manual work (invoice and payment checks, CRM hygiene, deal-risk alerts, call analysis) and measure hours saved and errors avoided. Ownership Be the single RevOps contact for Sales, CS, Marketing, Finance and Product. Turn each request into a task with an owner, date and success metric. Requirements 4-6+ years in RevOps, Sales Ops or GTM systems in B2B SaaS, with hands-on admin of a live Salesforce org. Strong SQL and comfort in a modeled warehouse (layers, lineage, one definition per metric). dbt is a plus. Deep knowledge of the B2B SaaS revenue cycle: funnel, pipeline, forecast, ARR, churn, renewals. Experience running the money side: contracts, invoicing, collections, kept in sync with the CRM. Proof you build with AI agents: something you shipped that others use. Fluent English and clear written updates without being asked. Nice to have Salesforce Administrator or Advanced Administrator certification. ClickHouse or another columnar warehouse, and any BI tool. Salesforce development (Apex, triggers, API). Gong, Clay, Lemlist, or workflow automation tools. Billing, CPQ, or accounting systems. HubSpot to Salesforce migration. Attribution or CS health score data. Martech or analytics company background. What We Offer Remote-first environment Strong product/market fit: marketing data product for US-based enterprises 20 working days of PTO per year US holidays and additional days off Professional development reimbursement