דרושים Software Engineer Online Archive ב-Mongodb ב-United States, Austin

As a Senior Technical Program Manager, you will partner with key Engineering, Product, and Product Design stakeholders to deliver critical services and features. You will begin with 1-2 key programs, aligned to time-bound goals, to steward to completion.

This role can be based out of our San Francisco and New York City offices or remotely in the United States.

• Experienced in managing technical projects and working with full stack development teams using a variety of project management techniques
• Experienced with 5+ years working in a technical capacity and/or in a project or program management role
• Capable of deep user empathy and adept at balancing product goals and engineering constraints to deliver impactful experiences
• Proficient in grasping the infrastructure of your program domain, and skilled at identifying the technical interfaces between teams
• Able to maintain a strategic view of our software engineering processes even while supporting and optimizing the operations of the team
• Inspired to innovate in areas where automation can replace manual work. The team works primarily with JIRA and Google Docs so programming proficiency with either or both tools is a plus
• Skilled at communicating across a diverse set of engineers and stakeholders
• Hyper-organized and capable of juggling all of the data associated with projects and task-tracking
• Knowledgeable of agile methodologies and experienced with implementing project management best practices
• Driven by an attuned sense of priority and urgency to ship features and achieve the right business outcomes
• Trained in working with project tracking software (e.g. JIRA, Rally, MS Project, Trello)
• Interested in learning everything about MongoDB

• Execute and improve the processes and tools that inform the daily life of engineering teams
• Drive coordination between product development teams and internal stakeholders to prioritize the team's backlog and plan its release roadmap
• Identify risks to the team's delivery, mitigating them where possible
• Own the data around the health of each team's project and ticket backlog
• Know when a project/team requires more hands-on management and know when it is time to operationalize and develop a process framework for the project and/or team(s)
• Promote a culture of continuous improvement by conducting retrospectives to help identify areas of growth and learnings within and across teams
• Recognize patterns in a sea of information and take action accordingly
• Expand knowledge into new domains by consistently working to gain the requisite technical knowledge required to skillfully manage the complexities, dependencies, and risks associated with engineering projects

• Delivery against program goals
• Improvements and automations in team operations, including leveraging best practices from the TPM community

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, related fields or equivalent practical experience
• Demonstrated technical aptitude and strong analytical skills with proven results
• 5+ years industry experience as a program or engineering manager
• Effective written and verbal communication skills, with the ability to adapt style and delivery for a variety of audiences

As a Staff Engineer on the Atlas Data Federation and Archiving team, you will lead the design, optimization, and scalability of our storage and federated query systems. This role focuses on high-performance distributed storage, data lifecycle management, and efficient data retrieval at scale.

This role can be based in New York City, Austin, San Francisco, Seattle, or remotely in the United States.

Storage & Data Processing Performance

• Architect and optimize large-scale storage solutions for federated data access, ensuring efficient retrieval, indexing, and query performance
• Optimize data archival pipelines for high-throughput ingestion, durability, and cost-efficiency
• Improve data tiering and lifecycle policies for moving and querying data efficiently across hot, warm, and cold storage tiers
• Reduce operational costs through intelligent storage layout, compaction strategies, and query execution optimizations

Distributed Query & Execution Engine

• Improve and scale our distributed query execution engine, optimizing it for multi-source federated queries and data lake processing
• Enhance query performance across object storage (e.g., S3, GCS, Azure Blob) by optimizing indexing, partitioning, and compaction techniques
• Implement workload-aware autoscaling for query execution and data processing
• Reduce incident rates by improving system resilience, failover mechanisms, and observability

Technical Leadership & Mentorship

• Guide architectural decisions and lead design reviews across engineering teams
• Mentor engineers in distributed systems, data storage optimization, and operational excellence
• Partner with Product Management to define the technical roadmap for storage and data federation solutions
• Participate in on-call rotation, providing senior oversight for incident response and postmortem retrospectives

• 10+ years experience in software engineering, with a focus on backend and distributed storage systems
• Expertise in large-scale storage systems, such as distributed databases, cloud object storage (S3, Azure Blob, GCS), or data lake technologies (Iceberg, Delta Lake, Hudi, etc.)
• Strong background in designing and optimizing storage layers, indexing, and data lifecycle management
• Experience optimizing query engines for high-volume, low-latency federated data access
• Track record of improving system reliability, observability, and cost-efficiency
• Experience with Kubernetes-based deployment of distributed storage or query systems
• Proficiency in Go or Java (preferred, but not required)
• Deep understanding of query optimizers, storage formats (Parquet, ORC), and indexing strategies
• Experience with disaggregated storage and cloud-native data lake solutions
• Proven ability to lead technical initiatives as an individual contributor while mentoring senior engineers and driving technical excellence within a team.

• Design, architect, build, and deliver core pieces of Atlas Online Archive, primarily coding in Java, Go & Javascript (React)
• Approach problems from a customer-focused perspective and use data to propose high ROI improvements to our product and operations
• Collaborate with colleagues and other teams in Atlas to scope, spec and deliver new features
• Define your top priorities and focuses, communicate them, and execute against them

• 3+ years experience in software engineering, primarily focused on cloud-native backend systems
• B.Sc / M.Sc in Computer Science or similar field, or equivalent practical experience
• Proficient in a modern compiled programming language (Go, Java, C#, C++, etc.)
• Experience implementing, and operating distributed storage systems with high availability and durability guarantees
• Enjoys working with others towards a common goal
• You're a self-starter! You're comfortable organizing your own time and propose changes backed by data
• Is curious, collaborative, empathetic, coachable and intellectually honest
• Great diagnostics skills, considering edge cases in designs with a bias for simplicity
• Has a passion for problem solving and learning new things in the domains of computer science and software engineering

• Experience building and testing full-stack systems (using React or similar frameworks)
• Oncall experience and having customer first approach when considering different approaches
• Experience designing Data Lake protocols (and similar e.g. Delta Lake, Hudi,...)
• Experience optimizing throughput in distributed storage systems
• Experience working with multiple cloud providers (AWS, GCP, Azure)

• In 1 month, you'll learn about the system and ask quality questions, go through the inner & outer loop
• In 3 months, you'll have contributed to a large project
• In 6 months, you’ll be leading the design and execution of your own project