Role Description We are seeking a Principal Software Engineer to lead the architecture and development of our next-generation Business Intelligence and data platform. This role requires deep expertise in AWS, data management, full-stack development capabilities, and a proven track record of building enterprise-scale analytics solutions. As a Principal Engineer, you will be a technical leader and strategic advisor, driving architectural decisions that impact millions of users globally. Candidate must be located in Ontario or British Columbia. What you'll be doing: - Architect and develop large-scale, mission-critical BI and data platform solutions serving millions of users across the globe, leveraging AWS native technologies including Athena, Redshift, Glue, QuickSight, and S3. - Lead the design and implementation of robust data pipelines, data lakes, and data warehouses using modern architectures (Iceberg, Parquet, columnar formats) to support real-time and batch analytics at scale. - Drive technical strategy and architectural decisions for the BI platform, including data modeling, query optimization, performance tuning, and cost optimization across AWS services. - Build and maintain sophisticated back-end services, ETL/ELT workflows, and front-end analytics applications using Python, SQL, React, and modern web technologies. - Design and implement efficient data storage solutions across relational databases (Redshift, PostgreSQL) and non-relational databases (DynamoDB, S3), ensuring optimal performance and cost-efficiency. - Develop and maintain REST APIs and event-driven architectures to enable seamless integration between data services, analytics tools, and customer-facing applications. - Serve as the technical lead and mentor for engineering teams, conducting architecture reviews, code reviews, and providing guidance on complex technical challenges. - Collaborate with cross-functional teams including data engineers, analytics engineers, product managers, and DevOps to deliver innovative BI solutions that drive business value. - Champion engineering excellence by establishing best practices, design patterns, and coding standards for data-intensive applications. - Lead Agile ceremonies, drive sprint planning, and ensure timely delivery of high-quality software solutions while maintaining technical debt at manageable levels. - Evaluate and integrate emerging AWS services and open-source technologies to continuously improve platform capabilities and developer productivity. - Troubleshoot and resolve complex performance issues in distributed data systems, optimizing query performance, data processing workflows, and infrastructure costs. - Participate in strategic planning and roadmap development, translating business requirements into scalable technical solutions. - Contribute to the team on-call rotation, providing expert-level support for production environments and mentoring team members on incident response. Qualifications - 10+ years of professional experience in software development, with at least 5 years focused on data engineering, business intelligence, or analytics platforms in enterprise SaaS environments. - Deep expertise in AWS data and analytics services including Athena, Redshift, Glue, S3, QuickSight, Lake Formation, with hands-on experience architecting and operating production workloads. - Advanced proficiency in Python for data processing, ETL/ELT development, and backend services, with strong knowledge of frameworks such as FastAPI, Flask, or similar. - Expert-level SQL skills including complex query optimization, window functions, CTEs, and performance tuning across multiple database engines (Redshift, PostgreSQL, Athena). - Strong full-stack development capabilities with proficiency in React, JavaScript/TypeScript, and modern front-end frameworks for building analytics dashboards and data visualization interfaces. - Proven experience with Apache Iceberg, Parquet, or similar columnar formats and modern data lake architectures. - Deep understanding of data modeling techniques for both OLTP and OLAP workloads, including dimensional modeling, star/snowflake schemas, and denormalization strategies. - Strong, in-depth experience with AI coding assistants such as GitHub Copilot, Cursor, and Windsurf to accelerate development and improve code quality. - Experience with both relational databases (Redshift, PostgreSQL, Aurora) and non-relational databases (DynamoDB, OpenSearch, DocumentDB). - Demonstrated ability to design and implement scalable REST APIs, event-driven architectures (Lambda, EventBridge, SQS, SNS), and microservices patterns. - Experience with AWS CDK (Cloud Development Kit) or CloudFormation/Terraform for infrastructure-as-code and automated deployment pipelines. - Strong background in data pipeline orchestration using AWS Step Functions, Glue workflows, or similar tools. - Proven track record of leading technical initiatives, mentoring senior engineers, and driving architectural decisions in complex distributed systems. - Experience with CI/CD pipelines, automated testing frameworks (pytest, Playwright), and DevOps practices for data platforms. - Excellent problem-solving skills with the ability to troubleshoot complex issues in large-scale, distributed data systems. - Strong understanding of software development lifecycle (SDLC), Agile methodology, and experience leading technical teams through the full development lifecycle. - Outstanding communication skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders. - Adaptable with the ability to switch technical stacks and domains to respond to changing customer and business needs while maintaining strategic focus. Preferred Qualifications - Experience with QuickSight embedding, dashboard development, and custom analytics solutions. - Knowledge of data governance, security, and compliance requirements (GDPR, SOC2, etc.) in multi-tenant SaaS environments. - Familiarity with machine learning workflows and integration of ML models into data pipelines. - Experience with real-time streaming data processing using Kinesis, Kafka, or similar technologies. - Contributions to open-source projects or technical thought leadership (blog posts, conference talks, patents). - Experience with multi-cloud or hybrid cloud architectures. Benefits - Global team recognized for their passion and innovation. - Innovative product culture and project exposure. - Training and development from industry-leading experts. - Cutting edge benefit programs that include: 401(k) with company matching; medical, dental, and vision insurance; disability and life insurance; flexible PTO; paid holidays and parental leave; tuition reimbursement and more. - Market competitive pay and benefits based upon the candidate’s skills, experience, and qualifications. Starting rate of pay for this salaried position is targeted at $120,000.

Role Description The consultancy aims to support the Global Market & Corporate Partnership Development Team in delivering 50% of the department’s overall capacity building offer to Member Associations, with the following thematic allocation: - 25% – Fundraising Market / Channel Development - Supporting Member Associations in strengthening fundraising channel development, market opportunities, and income diversification. - 25% – Development of Corporate Partnerships and Social Responsibility (CSR) - Supporting Member Associations in understanding and leveraging ESG, CSR, sustainability trends, and their relevance for corporate partnerships, corporate partnership acquisition, engagement, development, and management. The consultancy will focus specifically on strengthening Member Associations’ capacities in fundraising market and channel development, as well as corporate sustainability and social responsibility (CSR) topics relevant to partnership development and income growth. Qualifications - Proven expertise in fundraising market development and income diversification. - Strong knowledge of corporate partnership, major donor and corporate foundations trends. - Experience designing and delivering capacity building for fundraising professionals. - Experience working with international NGOs or federated organizations is an asset. - Excellent facilitation and stakeholder engagement skills. - Language skills: English and one of these 3 languages are mandatory: French, Spanish or Portuguese. Requirements - Design and facilitate capacity building sessions on fundraising channel development and market opportunities. - Provide tools, insights and practical guidance related to income diversification and fundraising growth. - Support the development of training materials and learning resources. - Design and facilitate capacity building sessions on key Individual Giving channels, with a primary focus on: - Face to Face (F2F) fundraising - Digital fundraising (paid media, organic digital, lead generation, online conversion) - Provide practical training on proposal writing for corporate partnerships. - Support development of high-quality, competitive proposals (including storytelling, KPIs, budgets, and impact framing). - Guidance on identifying, prioritizing and approaching corporate partners. - Tools for pipeline development and partner mapping. - Strategies for long-term partnership building vs. one-off donations. - Provide practical frameworks and real examples of cross-border partnerships. - Design and share structured reporting frameworks for corporate donors. - Best practices in impact reporting, storytelling, and KPI communication. - Guidance on donor engagement cycles (acquisition → retention → growth). - Approaches to employee engagement, volunteering, and skills-based contributions. - Development of co-created partnership models with companies. - Exploration of diaspora as a channel for corporate and individual partnerships. - Insights on global trends in CSR, ESG and corporate giving. - Innovative approaches to partnership growth and diversification. Deliverables - Agreed share (50%) of the department’s total capacity building sessions for Member Associations. - Channel-specific training materials for F2F and Digital fundraising. - Practical guidance on improving channel efficiency (CPA, PBT, LTV). - Toolkits or frameworks for donor acquisition and retention strategies. - Examples of good practice in balancing acquisition growth with long-term sustainability. - Quarterly progress updates. - Final summary report with recommendations. Duration Timeline Location - Assignment Start: 1 May 2026 - Assignment End: 31 December 2026 - Duration: 8 months - Location: Remote, all deliverables online via Microsoft Teams Application Process If you are interested in this position, please submit your detailed application in English by 20th May 2026 via email to Kovácsné Béres Katalin, Head of Leadership Giving, Market & Corporate Partnership Development: Katalin.Kovacsne-Beres@sos-kd.org

• Own day-to-day engineering execution across internal team and vendor partner engagement • Establish engineering processes, CI/CD standards, code review culture, and release management cadences from scratch • Serve as the primary technical liaison to KMS • Hire, onboard, and manage the initial engineering team (DevOps/AgentOps, Full-Stack, Backend, Integration engineers) • Partner with CTO on architecture decisions • Coordinate with clinical/pharmacy stakeholders to ensure product requirements are accurately reflected in technical deliverables • Build and maintain the engineering roadmap

Role Description The world's farmers make high-stakes decisions every season — and the platforms built by Digital Farming Solutions Engineering are what makes those decisions smarter. As a Staff Engineer, your role is to ensure those platforms are architected for scale, reliability, and the demands of AI and machine learning at a global level. You will set technical direction, define how teams approach complex problems across precision agriculture data, geospatial imagery, and cloud infrastructure, and resolve the systemic challenges that no single team can solve alone. Equally important, you will raise the engineering culture around you — mentoring senior engineers into Staff-level leaders, championing best practices, and ensuring that what we build today is maintainable, extensible, and worthy of the mission it serves. Your Tasks and Responsibilities - Define and drive the technical strategy for the organization's highest-priority initiatives, from architecture through delivery. - Bring clarity to ambiguous, high-complexity problems — translating strategic goals into actionable technical direction that teams can execute with confidence. - Set and evolve the engineering standards for reliability, observability, and code quality that define how Digital Farming Solutions builds software at scale. - Actively develop senior engineers into Staff-level leaders, sponsoring their growth into initiatives with organization-wide scope and impact. - Champion a culture where engineering decisions are grounded in farmer outcomes — connecting technical tradeoffs directly to the real-world impact on the people we serve. - Shape the technical approach for the full spectrum of agricultural data — from on-farm precision sensors to satellite and geospatial imagery — ensuring platforms handle it with accuracy, scale, and performance. - Drive architectural decisions for data-intensive, algorithmically complex precision agriculture systems, partnering with data science and product to turn research into production-grade capabilities. Qualifications - BS or equivalent in Computer Science or related technical field or equivalent combination of education and experience. - 8+ years of hands-on experience in software development. - Proven history of ability to quickly learn new skills and technologies. - Experience leading across team(s) the development of highly scalable cloud based (AWS preferred) microservices and data pipelines using container technologies (e.g., Docker). - Ability to take ambiguous requirements in complex domains and distill them down into actionable tasks for other engineers. - Excellent written and verbal communication skills including the ability to present complex information in a clear and concise manner to engineering and non-engineering audiences. - Expert knowledge in at least one modern backend programming language (e.g., Java, Python) with the ability to write understandable, testable code with an eye towards maintainability. - Strong understanding of at least one containerization technology (e.g., Docker). - Strong understanding of at least one public cloud platform. - Strong knowledge of software development methodologies and best practices. - Experience using observability techniques to drive support and improvements of systems. - Proficiency with managing CICD pipelines (e.g., GitLab Pipelines, GitHub Actions). Requirements - Experienced with modern REST and GraphQL (Strong Plus) API design. - Exceptional customer focus, ownership, and drive. - Proven ability to develop other strong senior engineers into Staff engineers, operating and leading their own initiatives with org-wide scope and high impact. - Experience with relational and non-relational data stores. Expert knowledge of at least one. Strong knowledge and experience with SQL including performance tuning and query optimization. - Expert knowledge of at least one containerization technology (e.g., Docker). - Strong understanding of multiple AWS capabilities (EC2, S3, RDS, SQS, etc.). Expert knowledge of multiple AWS capabilities. - Strong experience with event driven architectures using messaging middleware (SQS, JMS, etc.). - Experience with layered geospatial data structures and data representations (Strong Plus). Benefits - Employees can expect to be paid a salary of approximately $117k-171k. - Additional compensation may include a bonus or incentive program (if relevant). - Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc. Company Description Bayer is an Equal Opportunity Employer/Disabled/Veterans. Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.