Role Description We are seeking an exceptional Senior Software Engineer to spearhead our technical vision and drive the implementation of complex technology solutions in our Digital team. This pivotal role combines technical leadership with hands-on development, requiring expertise in Python, JavaScript (React), Java, SQL/NoSQL databases, cloud technologies, and data lake/warehouse solutions like Snowflake. The ideal candidate will thrive in our remote work environment, architecting scalable software systems, mentoring team members, and collaborating across functions to shape product strategy. You will be at the forefront of integrating cutting-edge technologies, including agentic/generative AI and DevSecOps practices, to advance seeds research and development in agricultural technology. - Lead the architectural design and implementation of high-performance, scalable software systems that address complex business needs. - Provide technical leadership and mentorship to the engineering team, fostering a culture of innovation and continuous improvement. - Collaborate with cross-functional teams to develop and execute product strategies and technology roadmaps. - Drive the adoption of best practices in software development, including coding standards, testing methodologies, and code review processes. - Evaluate and integrate emerging technologies to enhance our technological capabilities and maintain our competitive edge in agricultural technology. Qualifications - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related STEM discipline. - 10+ years of extensive architecture, design, and development experience. - Expertise in Python, TypeScript, React, Java, cloud, SQL/NoSQL, and data lake/warehouse, such as Snowflake. - Skilled in containerization and microservices. - Proven experience in designing and implementing large-scale distributed systems. - Strong understanding of software security and data protection. - Leadership and team management skills. Being a team player. - Excellent problem-solving and decision-making abilities. Requirements - Preferred expertise in generative AI, agentic frameworks such as LangGraph, and machine learning model development. - Experience in deploying ML models and supporting ML and AI teams is preferred. Benefits - A culture that celebrates diversity & inclusion, promotes professional development, and strives for a work-life balance that supports the team members. - Offers flexible work options to support your work and personal needs. - Full Benefit Package (Medical, Dental & Vision) that starts your first day. - 401k plan with company match, Profit Sharing & Retirement Savings Contribution. - Paid Vacation, Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts, among other benefits.

Join the MongoDB Server Query Optimization team, and help us build a world-class distributed open-source query optimizer. Our team plays a crucial role in the experience and performance of data processing. We are responsible for the MongoDB Query Language and the lifecycle of each query, through parsing, optimization and plan selection. We have a presence across the US and Europe including New York, Dublin, Seattle, Palo Alto, and Chicago. We support office-based and remote work and align projects with convenient work hours for each time zone. We have tons of interesting problems to solve with a direct impact on users for transactional, time-series, and analytical workloads. The team is endeavoring to systematically rewrite every major component of our optimization and execution systems. We need your help to design and build the heart of a distributed, flexible schema, document database. Candidate Profile - 10+ years of experience in data management systems - Experience with building production-level code with a large user base, robust design structure and rigorous code quality - Degree in Computer Science or similar field, or equivalent practical experience, with strong competencies in data structures, algorithms, and software design/architecture - Experience with large code bases written in C++ or another systems programming language. You'll need to trace down defects, estimate work complexity, and design evolution and integration strategies as we rewrite different components of the system - Passion for the theory and practice of database query engines, as well as hands-on or academic experience in the database domain Position Expectations - Innovate in the area of flexible schema databases. Help us build a world-class query optimization system - Research state-of-the art query systems to inform our design - Leverage deep knowledge of the strength and weakness of the product and of industry trends to provide technical vision and direction - Set initiative level strategy, architect plans, and lead the team towards successful execution - Advise management on decisions related to roadmap, processes, architecture and design - Identify, design, implement, test, and support new features related to query performance and robustness, query language enhancements, diagnostics, and integration with other products and tools - Work with other engineers to coordinate seamless changes in a feature-rich, large code base - Work with other teams including client drivers, cloud services, enterprise tools, support, consulting, education, and marketing to coordinate changes or contribute to their projects - Influence and grow team members through active mentoring, coaching and leading by example Success Measures - In three months you’ll have contributed to the development of a project slated for the next major version, as well as fixed a few bugs in a minor version of our latest stable release series; You'll have learned about MongoDB's project lifecycle, and our long-term goals for the system - In six months, you’ll have taken on code review responsibilities and are playing an active role in drafting and reviewing the design for new features; You have expanded the team's horizons by presenting a favorite paper or system architecture related to query systems - In twelve months, on the basis of your extensive past experience in the query space, you have contributed to the long-term technical roadmap of the MongoDB Query team ​​This role can be based out of our US or Canadian offices or remotely in the North America region. About MongoDBMongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Req ID - 1273358734 AI is used to review applications based on job-related criteria and does not replace human decision-making. The hiring team decide who moves forward. MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada. MongoDB’s base salary range for this role in Canada is: $159,000—$221,000 CAD

• Work across the entire development lifecycle (design → build → test → deploy → operate) with AI support • Use agents and automations to execute multi-step tasks • Structure inputs (prompts, specifications) to guide and control AI • Integrate with engineering tools: Git, CI/CD, observability • Assess the quality and security of AI-generated outputs • Understand the architecture behind generated solutions, not just operate the tools

Role Description - Design, develop, and maintain reports using SSRS and Power BI. - Translate business requirements into accurate, scalable reporting solutions. - Build and optimize complex SQL queries to support reporting needs. - Ensure data accuracy, consistency, and performance across reports. - Maintain and improve existing reporting infrastructure. - Partner with stakeholders to understand business context and reporting needs. - Identify trends, anomalies, and insights within reporting outputs. - Present findings in a clear, business-friendly manner. Qualifications - Strong experience with Microsoft SQL Server, SSRS, and Power BI. - Advanced SQL skills, including query optimization and performance tuning. - Experience working with large and complex datasets across multiple sources. - Proven ability to translate business requirements into reporting solutions. - Strong understanding of data accuracy, validation, and consistency. - Solid business acumen and ability to interpret data in a business context. - Ability to explain data and reporting logic to non-technical stakeholders. - Strong requirement-gathering and documentation skills. Requirements - Experience with ETL processes, data pipelines, Python, or other analytical tools (Nice to Have). - Exposure to financial, lending, or operational datasets, reporting framework improvements, or analytical methodologies (Nice to Have). Benefits - Great Place To Work certification. - A company with more than 15 years of experience. - Work with world-class clients and long-term projects. - English scholarships for an external institute. - English classes with company teachers. - State-of-the-art tools and resources. - Certifications for your professional growth. - Recreation and leisure activities. - Compliance with the regulations and labor rights of your region. Company Description AssureSoft is a multinational software development and information technology company providing strategic consulting, technology services, and outsourcing business processes. We work to innovate and create quality software with motivated, passionate, and qualified teams that develop in an environment of professional, stable growth and continuous learning. Inclusive Opportunities for Every Talent. At AssureSoft, we believe that true innovation is born from diversity—of ideas, experiences, and perspectives. That’s why our hiring practices are inclusive and reflect a firm commitment to equity and equal opportunity. Here, every person—regardless of origin, gender, orientation, or beliefs—finds a space to grow, contribute, and be valued not only for their talent, but also for who they are.