MongoDB is building a world-class team in North America to create tooling that helps customers modernize their applications and migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise legacy workloads and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Code Generation and Data Migration team are critical in this journey, helping customers with schema modeling, code generation, initial data loads, and continuous data synchronization.

We're looking for a Senior Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and data-intensive applications to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation and  building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React.You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers, product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.

This role will be based out of North America in the PST and MST zones only.

The ideal candidate for this role will have

• 2+ years of  engineering experience in backend systems, distributed systems, or core platform development
• Experience in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory management, and performance tuning
• Experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
• Experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
• Exposure to client-side technologies such as JavaScript and React is a plus
• Good understanding of algorithms, data structures and their time and space complexity
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills

Nice to Have

• Familiarity with cloud-native distributed systems (e.g., Kubernetes)
• Experience with NoSQL databases and understanding of their trade-offs is great, but not required. We'll teach you NoSQL
• Contributions to relevant open-source projects

Position Expectations

• Contribute high-quality, well-tested backend code to the data migration engine and core components of our generative AI orchestration platform
• Collaborate effectively with Product Management, AI researchers and machine learning engineers and designers to build and deliver on the product roadmap
• Work to develop robust and efficient backend services that orchestrate AI functionalities
• Identify and address performance bottlenecks and architectural challenges in our systems, particularly within data flow and orchestration
• Participate actively in code reviews to enforce best practices and patterns
• Help troubleshoot and resolve complex technical issues in our distributed systems
• Give and solicit feedback on technical design documents and pull requests
• Perform tasks related to process such as CI/CD, quality, testing, etc 

Success Measures

Within the first three months, you will have:

• Familiarize yourself with the MongoDB database and aggregation language
• Familiarize yourself with the backend tech stack including Java, Spring Boot, and Kafka
• Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
• Started collaborating with your peers and contributed to code reviews

Within six months, you will have:

• Familiarised yourself with the rest of our the application modernization tool stack
• Delivered at least one large scale feature that spans the entire tech stack
• Reviewed and contributed to scope and technical design documents

Within 12 months, you will have:

• Become a key contributor to our backend stack, capable of taking on complex features independently
• Helped recruit and interview new members of the team
• Collaborated effectively with other teams at MongoDB on cross-functional projects

About MongoDB

MongoDB 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, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

REQ ID: 425547

The Role: 

As a Senior Software Engineer II focusing on trading engineering, you will play a critical role in delivering a high-quality trading platform that powers trading functionality in the Forge Marketplace. You will identify opportunities to enhance trading products, including integrating modern low-latency technologies, and help define the direction and roadmap for trading engineering initiatives.

You will collaborate closely with Product, Design, and Engineering teams to ensure seamless integration of trading technologies into products, improving both user experience and application performance.

Location: This position is remote in Denver, CO. We intend to open an office in Denver and once we do, we will require hybrid attendance onsite at least 9 days each month.

Responsibilities:

• Deliver software on time with accurate estimates
• Take ownership of production changes, including monitoring and maintaining runbooks
• Provide high-quality code reviews and help improve team engineering standards
• Design scalable and resilient trading platform architecture with a focus on performance
• Participate in design reviews and contribute to technical direction
• Serve as a technical expert for trading systems for internal teams and external partners
• Collaborate cross-functionally to translate business requirements into technical solutions
• Solve complex engineering challenges, particularly within code generation frameworks

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• 5–8 years of software engineering experience
• 5+ years of development experience in compiled, object-oriented languages (e.g., TypeScript, C#, Java)
• 2+ years of experience in dynamic scripting languages (e.g., Python, JavaScript, Ruby)
• Experience with real-time data processing and event-driven systems (e.g., WebSockets, Kafka)
• Strong SQL skills and experience with PostgreSQL and/or MySQL
• Experience building CI/CD pipelines and managing production deployments
• Familiarity with cloud platforms (AWS, Azure, GCP), proficiency with Git, GitHub, and Agile tools such as JIRA
• Experience in Private Markets or Financial Services, especially financial market data
• Strong collaboration and teamwork skills, proven ability to unblock and mentor other engineers
• Strong track record of delivery in high-performance engineering environments, commitment to diversity, inclusion, and building high-performing teams

For residents of Denver, CO the annual salary range for this role is $157,000-$190,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

We’re looking for a Privacy Analyst to join our global SaaS company and growing legal team. This non-attorney role will report directly to the Data Protection Officer and will serve in a leading privacy role in the organization. They will be responsible for the company’s global data protection compliance program and there is potential for huge impact across our rapidly-growing global company. The successful candidate will possess strong technical acumen given the strategic nature of the role, have a right-sized risk calculus, and fluid communication skills.

A risk-adjusted privacy analyst with a technical, process, and operations-orientation to help educate and build the business as Fivetran scales. As a member of the Legal team and working with the Legal team to build and scale a world-class legal organization, you will have primary responsibility for building, maintaining and improving the global privacy and data protection compliance programs at Fivetran. 

This will include staying informed of peer company best practices and relevant global data protection developments, coordinating with our privacy attorneys to gauge applicability to the company's activities and objectives and advising the business on how to promote the company's goals while complying with applicable regulations. Your expertise will drive creative, customer-focused, practical and proactive guidance.

Fivetran is a start-up company where everyone rolls up their sleeves and digs in to work, and this role is no different. You will be an analyst on privacy and data protection compliance initiatives.

This is a full-time, hybrid position based out of our Oakland or Denver offices. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Technologies You’ll Use

Ironclad, Salesforce, Onetrust, Relyance AI, Trelica, Slab, Jira, Java, Postgres, Oracle, SQL Server, MySQL, Kubernetes, Docker, AWS, GCP, CircleCI, Zendesk, Docker, Grafana, DBeaver, Cortex Cloud

What You’ll Do

• Manage projects related to ongoing compliance with privacy and data protection laws across business areas 

• Help develop, maintain, and scale processes, policies, procedures, technical controls, and playbooks that support global privacy and data protection program

• Utilize project management and communication skills to help define scope, requirements, analyze data, and develop technical recommendations for program and operational execution 

• Drive greater consistency of process, practices, and execution across company-wide privacy and data protection work-streams

• Work closely with privacy team members to further privacy governance, monitoring, reporting, and auditing on the ongoing initiatives of the privacy and data protection program 

• Develop the privacy and data protection program for a global technology company and ability to lead the continued development, maintenance and improvement of Fivetran’s global privacy program including effective policies, procedures, technical safeguards, and documentation

• Contribute to a fast-paced environment and execute change management

• Work cross-functionally throughout the organization including with product, security, engineering teams

• Support the development of the strategy, delivery, and evaluation of the privacy program and data protection compliance

• Embody process and relationship-building skills to accomplish the mission

Skills We’re Looking For

• Understanding of technical issues (cookie management, encryption)

• Experience writing business, functional, and technical requirements with specifications, including strong documentation skills

• Strong data analysis and project management skills

• Engineering background preferred, but not required

• You love privacy-related work and view protecting privacy rights not as a compliance obligation, but as the right thing to do 

• You love working with product strategy and engineering

• Experience with privacy regulations and industry standards, including GDPR, CCPA, CPRA, ISO27701, PCI-DSS, NIST, EU Data Act, EU NIS2, and UK NIS.

Bonus Skills​

• CIPP, CIPM, or CIPT preferred, but not required

#LI-HYBRID #LI-SE1 

As a Senior Database Reliability Engineer at Checkr, you will be primarily responsible for managing cloud database and data storage infrastructure, backup policies and processes, data lifecycle management, and performance tuning and troubleshooting across a breadth of database platforms. Beyond this, you will help our software teams maximize their understanding and efficient use of our database systems.

What a typical week may look like at Checkr:

• Design and recommend database architectures that address resiliency, durability, and high availability concerns
• Provision and administer database and database-adjacent cloud resources using Infrastructure as Code 
• Maintain and troubleshoot database systems in production, staging, and sandbox environments
• Optimize database performance at the query, schema, and instance levels
• Embrace and extend BCDR and data protection practices across availability zones, accounts, and providers
• Work closely with the Infrastructure team to align on infrastructure best practices
• Implement security best practices for data stores
• Automate common database tasks to reduce manual toil
• Work closely with the SRE team and improve observability (alerting, metrics, monitoring) of the database schema and infrastructure
• Take part in incident response, diagnosis, and follow-up on system outages or alerts across Checkr’s customer-serving infrastructure

What you bring:

• 5+ years of experience working with relational database concepts, storage systems, and architectures
• Advanced level of experience with Postgres, MySQL, SQL, and MongoDB database administration and replication topologies at scale
• Experience working with AWS cloud databases such as RDS, Aurora, ElasticCache, MongoDB Atlas, and AWS S3
• Solid people skills and ability to guide software engineers through database best practices with regard to security, schema design, and migrations at scale
• Experience working with Infrastructure-as-code tools such as Terraform and Terragrunt
• An automation mindset that strives to reduce manual interventions wherever relevant
• Nice to have: GitLab, GitHub gh-ost, automation tooling knowledge

What you’ll get

• A fast-paced and collaborative environment
• Learning and development allowance
• Competitive cash and equity compensation, and opportunity for advancement
• 100% medical, dental, and vision coverage
• Up to $25K reimbursement for fertility, adoption, and parental planning services
• Flexible PTO policy
• Monthly wellness stipend

#LI-TD1