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

It’s not just about the tech; it’s about the people. At Career TEAM, we work to accelerate the human condition. Through our Career EDGE platform, we build enterprise software that changes lives across the United States—and that’s just the beginning.

As a Lead Software Engineer, you’ll help design, build, and maintain systems that transform and integrate data across platforms supporting government-funded workforce development programs nationwide. You’ll work with modern web technologies in a collaborative, Agile environment and contribute to software that has real-world social impact.

Specifically, What You Will Do
You will lead the design, development, and support of core platform services and applications using MongoDB, Node.js, Nest.js, and Next.js. On any given day, you’ll be architecting, building, and maintaining scalable systems that power our workforce development platforms and support users across the country.

Your work will include designing and developing modern web applications and RESTful services, improving system performance and scalability, and ensuring our platform remains reliable, secure, and maintainable as it grows.

As a technical leader, you’ll collaborate closely with engineers, analysts, product partners, and leadership to shape system architecture, define technical direction, and deliver high-quality solutions that meet both business and user needs. You’ll also mentor engineers, contribute to architectural decisions, review code, and guide engineering best practices across the teams.

As part of an Agile team, you’ll participate in regular Scrum ceremonies and have meaningful opportunities to innovate and make a real impact on the software we build.

Ideal Candidate Qualifications
● Bachelor’s degree in Computer Science, IT, Engineering, or equivalent practical experience
● Proficiency with JavaScript or TypeScript and backend development using Node.js
● Experience building APIs and services using modern frameworks (e.g., Nest.js, Express)
● Experience designing and architecting distributed or scalable systems
● Experience working with MongoDB or other NoSQL databases
● Familiarity with frontend frameworks such as React, Next.js, or Angular
● Understanding of RESTful services and data formats such as JSON and XML
● Familiarity with Docker, CI/CD pipelines, and cloud-based environments
● Experience mentoring engineers, conducting code reviews, and guiding technical best practices
● Strong analytical, problem-solving, and collaborative communication skills

About Career TEAM: Founded in 1996, Career TEAM, LLC is a private workforce development organization. Career TEAM’s outstanding record of accelerating the human condition has resulted in numerous honors:
● Named by Inc. Magazine as one of America's 500 fastest growing privately held companies
● Recipient of the US Chamber of Commerce Blue Chip Enterprise Award for innovation
● Featured by 60 Minutes, CNN, Money Magazine, Inc. Magazine and the British Broadcasting Network as an innovative, government funded solutions program
● Invited to the White House after being cited by the National Welfare-to-Work Partnership and National Alliance of Business as a top 10 US training provider

As a socially conscious organization, Career TEAM has found a healthy balance between for-profit innovation and community enrichment. Looking ahead, the organization will continue to close the nation’s opportunity divide with additional government-funded workforce sites; while also building staff capacity of workforce funding sources and industry providers. See www.careerteam.com for more information.

Career Team is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Background Check Requirements. Employment is contingent upon successful completion of a background check (including criminal, prior employment and education verification). Failure to
satisfactorily complete the background check may affect the application status of applicants or continued employment of current employees who apply for the position.

California Consumer Privacy Act ("CCPA"). Career Team is committed to complying with the CCPA and all data privacy and laws in the jurisdictions in which it recruits and hires employees. Career Team collects and uses Personal Information for human resources, employment, benefits administration, health and safety, and business-related purposes and to be in legal compliance. Below are the categories of Personal Information we collect and the purposes for which we intend to use this information:

Identifying information, such as your full name, gender, date of birth, and signature; Demographic data, such as race, ethnic origin, marital status, disability, and veteran or military status; Contact information, such as your home address, telephone numbers, email addresses, and emergency contact information; Dependent's or other individual's information, such as their full name, address, date of birth, and Social Security numbers (SSN); National identifiers, such as SSN, passport and visa information, and immigration status and documentation; Educational and professional background, such as your work history, academic and professional qualifications, educational records, references, and interview notes; Employment details, such as your job title, position, hire dates, compensation, performance and disciplinary records, and vacation and sick leave records; Financial information, such as banking details, tax information, payroll information, and withholdings; Health and Safety information, such as health conditions (if relevant to your employment), job restrictions, workplace illness and injury information, and health insurance policy information; Information Systems (IS) information, such as your search history, browsing history, login information, and IP addresses on the Company's information systems and networks; Biometric information, such as facial recognition, fingerprints, iris or retina scans, keystroke, or other physical patterns; and Geolocation data, such as time and physical location related to use of an internet website, application, device, or physical access to a Company office location.

The Company collects Personal Information to use or disclose as appropriate to:
(1) Comply with all applicable laws and regulations; (2) Recruit and evaluate job applicants and candidates for employment; (3) Conduct background checks; (4) Manage your employment relationship with us, including for: (a) onboarding processes; (b) timekeeping, payroll, and expense report administration; (c) employee benefits administration; (d) employee training and development requirements; (d) the creation, maintenance, and security of your online employee accounts; (e) reaching your emergency contacts when needed, such as when you are not reachable or are injured or ill; (f) workers' compensation claims management; (g) employee job performance, including goals and performance reviews, promotions, discipline, and termination; and (h) other human resources purposes; (5) Manage and monitor employee access to company facilities, equipment, and systems; (6) Conduct internal audits and workplace investigations; (7) Investigate and enforce compliance with and potential breaches of Company policies and procedures; (8) Engage in corporate transactions requiring review of employee records, such as for evaluating potential mergers and acquisitions of the Company; (9) Maintain commercial insurance policies and coverages, including for workers' compensation and other liability insurance; (10) Perform workforce analytics, data analytics, and benchmarking; (11) Administer and maintain the

Company's operations, including for safety purposes; (12) For client marketing purposes; (13) Exercise or defend the legal rights of the Company and its employees, and affiliates, customers, contractors, and agents; and (14) to comply with requirements of government

About the team/role

We're seeking an experienced Staff Data Engineer to join our Data Platform team. This team plays a crucial role in our mission by developing and maintaining scalable data platforms for fair and safe hiring decisions.

As a Staff Data Engineer on the Data Platform team, you'll work on Checkr’s centralized data platform, critical for the company's vision. The centralized data platform is the heart of all key customer facing products. You will work on high-impact projects that directly contribute to the next generation products. 

What you’ll do:

• Architect, design, lead and build end-to-end performant, reliable, scalable data platform.
• Be an independent individual contributor who can solve problems and deliver high-quality solutions without oversight and a high level of ownership.
• Mentor, guide and work with junior engineers to deliver complex and next-generation of features. 
• Bring a customer-centric, product-oriented mindset to the table - collaborate with customers and internal stakeholders to resolve product ambiguities and ship impactful features
• Partner with engineering, product, design, and other stakeholders in designing and architecting new features
• Experimentation mindset - autonomy and empowerment to validate a customer need, get team buy-in, and ship a rapid MVP
• Quality mindset - you insist on quality as a critical pillar of your software deliverables
• Analytical mindset - instrument and deploy new product experiments with a data-driven approach
• Architect, lead and build a performant, reliable, scalable data platform.
• Monitor, investigate, triage, and resolve production issues as they arise for services owned by the team
• Create and maintain data pipelines and foundational datasets to support product/business needs.
• Design and build database architectures with massive and complex data, balancing with computational load and cost
• Develop audits for data quality at scale, implementing alerting as necessary
• Create scalable dashboards and reports to support business objectives and enable data-driven decision-making
• Troubleshoot and resolve complex issues in production environments

What you bring:

• 10+ years of designing, implementing and delivering highly scalable and performant data platform.
• Experience building large-scale (100s of Terabytes and Petabytes) data processing pipelines - batch and stream
• Experience with ETL/ELT, stream and batch processing of data at scale
• Expert level proficiency in PySpark, Python, and SQL
• Expertise in data modeling, relational databases, NoSQL (such as MongoDB) data stores
• Experience with big data technologies such as Kafka, Spark, Iceberg, Datalake, and AWS stack (EKS, EMR, Serverless, Glue, Athena, S3, etc.)
• An understanding of Graph and Vector data stores (preferred)
• Knowledge of security best practices and data privacy concerns
• Strong problem-solving skills and attention to detail
• Experience/knowledge of data processing platforms such as Databricks or Snowflake.

What you 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

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

What You'll Do 

1. Understand needs for mission operations interfaces, telemetry formats, commanding, and current use cases.
2. Audit existing tooling to determine gaps in preparation for architecting and designing new ground software
3. Identify critical mission operations workflows and associate them with mission milestones
4. Train on console for upcoming mission operations 

What you will own in the next 30 days: 

1. Produce a cloud based design/ architecture on a scalable and resilient ground software 
2. Help create automated tooling to improve ground procedures
3. Define developer the culture around coding standards, testing, and procedures
4. Mentor junior engineers
5. Improve and own deployment processes through CI/CD
6. Help own and create roadmaps needed to meet program milestones

What We Value:

1. System level thinker understanding cloud based scalable micro service systems
2. Strong desire to build and design something from the ground up
3. Able to understand and communicate customer needs into actionable items
4. Someone who strives for clarity and understanding, but can make do without perfect requirements
5. An operations first developer and architect
6. Someone willing to produce code not just sit back and design
7. A passion for automation and creating systems that streamline operations
8. Someone able to clearly explain trade offs in design and architecture creating trade studies when needed 

Your Ideal Background:

Required:

1. 8-12+ years of cloud based scalable micro service architecture
2. 4+ years leading developers/ engineers  
3. Experience building entire ground stacks from the ground up
4. Experience in creating high reliability production-critical systems
5. Experience with new space companies not traditional primes
6. Owned the process and procedure for deploying, testing and integrating into a full life cycle system
7. Deep technical fluency in cloud, backend, frontend, and streaming systems
8. AWS Suite (EKS, MSK, Timestream, S3, Batch, Event Bridge), Python, C++, React, Tailwind, Redis, Kafka, influx, QuestDB, MongoDB, git, CI/CD, Docker, K8
9. Minimum bachelor’s degree in computer science or other related STEM fields
10. Master’s degree preferred  

Compensation and Benefits:  

Your base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.  The anticipated salary range for this role is $180,000 - $240,000 annually.

Base salary is just one part of your total rewards package at Katalyst. You will also be eligible for long-term incentives, in the form of the Employee Stock Option and Equity Plan, as well as a relocation bonus and other discretionary bonuses. You will also receive access to comprehensive medical, vision, and dental coverage, and unlimited Paid Time Off.

At Katalyst our work on projects involving the U.S. Department of Defense requires adherence to International Traffic in Arms Regulations (ITAR), 22 C.F.R. Parts 120-130, which requires compliance with U.S. export laws before allowing employees to perform certain positions. Currently, our available roles necessitate access to ITAR-controlled information, and as a result, Katalyst would have to ensure any non-US person is authorized access to ITAR information before the commencement of employment. We are committed to equal employment opportunities and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.