Power the Future of AI at Roblox!

Join the AI Platform team at Roblox, where we are building the infrastructure that enables world-class AI/ML experiences. Our mission is to empower developers and creators by providing scalable, high-performance systems that drive AI innovation at an unprecedented scale.

As an AI Platform Engineer specializing in ML Infrastructure, Training data Infrastructure and Feature Store Infrastructure, you will design and build next-generation ML data platforms, enabling AI applications across recommendations, search, safety, content generation, fraud detection, and more. Your work will directly impact millions of users, supporting AI-driven experiences across the entire Roblox ecosystem.

Why This Role?

• Massive Impact: Your contributions will support billions of daily interactions, powering AI-driven experiences across gaming, learning, social connections, and digital creativity.
• End-to-End Ownership: Be a key architect in defining and building Roblox’s Training Data pipelines and Feature Store infrastructure from the ground up.
• Cutting-Edge Growth: Work at the intersection of AI/ML, data engineering, and distributed systems, solving some of the most complex large-scale challenges in the industry.

You will:

• Develop a scalable Feature Store: Architect and implement a system that supports both batch and real-time feature computation, storage, and serving, enabling low-latency AI inference at scale. Develop Sequence Feature Stores to collect raw user events and power training of transform models for recommendation engines at Roblox. 
• Develop Roblox’s first training data platform: Architecture and engineer training data collection, reusability and reliability while solving world class engineering problems like point-in-time joins, feature injection. Power batch and realtime model training. 
• Engineer large-scale ML data pipelines: Design, optimize, and maintain high-throughput streaming and batch ETL pipelines that ingest, process, and serve billions of records per day.
• Build a feature engineering framework to empower 100s of machine learning engineers to develop, author, experiment and productionize millions of signals into the system quickly, easily and reliably. 
• Enable online and offline inference: Ensure real-time, low-latency feature access for AI inference while maintaining consistency and robustness for batch model training.
• Collaborate with cross-functional AI teams: Partner with ML researchers, data engineers, and product teams to build the next-gen AI infrastructure that fuels innovation at Roblox.
• Research & innovate: Stay at the forefront of AI infrastructure by exploring the latest in VectorDBs, Feature Stores, Graph ML, Agentic Systems and Real-time AI serving. 

You have:

• 5+ years of experience in AI/ML data infrastructure, feature stores, training data infrastructure. Experience working with industry leading NoSql databases like DynamoDB, Cassandra, cockroachDB and many more. 
• Expertise in building scalable ML data pipelines for both batch and real-time environments.
• Strong software engineering skills with experience in distributed computing frameworks (e.g., Spark, Flink, Ray) and real-time data systems (e.g., Kafka, Redis, DynamoDB).
• Deep knowledge of ML Feature Stores (e.g., Feast, Tecton, Vertex AI Feature Store) and embedding/vector search infrastructure.
• Familiarity with Knowledge Graphs and graph-based ML applications (e.g., Neo4j, TigerGraph, AWS Neptune).
• A Bachelor's degree in Computer Science, Engineering, or a related field

The Opportunity:

ZoomInfo built the industry's most sophisticated GTM data acquisition infrastructure. Now we're applying that same rigor to context engineering—the emerging discipline that determines whether AI systems deliver transformative value or incremental improvement.

This role architects the context layer powering our AI intelligence across Copilot, GTM Studio, and MarketingOS. You'll transform how ZoomInfo's agentic workflows access, compress, and deliver precisely the right information at exactly the right moment. The impact is organization-wide: every AI interaction, every intelligent recommendation, every autonomous agent action depends on the context infrastructure you’ll build.

We've transitioned to AI-first product thinking company-wide. The context pipelines exist but remain nascent—creating a rare opportunity to define architectural patterns and platform standards that compound value across multiple product teams in the years to come.

What You'll Do:

Architect Context Acquisition Pipelines Design and optimize how ZoomInfo retrieves, transforms, and delivers context from our semantic data layer, memory systems, and data producers. You'll balance retrieval quality against latency and cost constraints, implementing hybrid search strategies, intelligent caching, and context compression techniques that maintain information density while respecting token budgets.

Own the Context Layer Platform Build infrastructure serving multiple product teams—Copilot, GTM Studio, MarketingOS—as internal customers. Establish API contracts, developer experience standards, and integration patterns that accelerate feature velocity. Maintain the delicate balance between providing flexible building blocks and opinionated solutions that encode best practices.

Drive Quality Through Measurement Implement evaluation frameworks using RAGAS metrics and custom benchmarks. Monitor retrieval precision, context relevance, hallucination rates, and system performance in production. Translate quality signals into architectural improvements, working closely with ML engineers to iterate on embedding models, reranking strategies, and retrieval algorithms.

Navigate Emerging Research Context engineering evolves weekly. You'll continuously evaluate innovations—GraphRAG for multi-hop reasoning, test-time compute scaling, multimodal retrieval, compression techniques—determining which advances warrant production investment versus which remain academic curiosities. Bring external best practices to ZoomInfo while contributing learnings back to the broader community.

Orchestrate Cross-Functional Execution Translate between three distinct worlds: ML engineers optimizing retrieval algorithms, platform engineers building scalable infrastructure, and product teams shipping customer features. Establish communication cadences, prioritization frameworks, and decision-making processes that balance urgent requests against strategic platform development.

What You’ll Bring:

• 6-8 years of product management experience with 2+ years in ML/AI infrastructure
• Direct experience with production RAG systems, vector databases, or semantic search, context management
• Experience with graph databases (e.g. Neo4j) 
• Track record building platform products serving multiple internal or external customers
• Familiarity with context compression, embedding models, and retrieval evaluation frameworks
• History of defining product vision in nascent technical domains where best practices are still emerging

Who You Are:

Technical Foundation Expert-level understanding of RAG system architecture—you can discuss embedding dimensionality trade-offs, vector database indexing strategies, and reranking approaches with depth. You've built or significantly contributed to production retrieval systems, not just managed them at arm's length. Python and SQL proficiency enables you to review code, analyze retrieval issues, and prototype solutions for concept validation.

Platform Product Mindset Experience building infrastructure products where internal engineering teams are your customers. You measure success through downstream product velocity improvements and developer satisfaction scores, not just uptime metrics. You understand platform economics—how each additional team using your infrastructure increases its value through shared learnings and amortized costs.

Intellectual Velocity You read recent research papers from arXiv, ACL, NeurIPS. You prototype emerging techniques to understand their practical constraints. You maintain strong opinions weakly held, updating your architectural assumptions as evidence accumulates. The discipline moves too fast for static expertise—continuous learning is non-negotiable.

Strategic Communication You translate between technical depth and business impact fluently. You can explain to executives why implementing GraphRAG takes 6 months but unlocks $10M in product capabilities. You can communicate to engineers why business constraints require shipping "good enough" in 3 weeks rather than "optimal" in 3 months. You influence without formal authority through data, clear reasoning, and earned credibility.

The Environment:

Reporting & Collaboration Report to the Senior Product Director for Context Engineering, Semantic Data Layer, and Agentic Memory within ZoomInfo's Intelligence team. Work alongside PMs responsible for signals and ML scoring/recommendation models. Together, you ensure our agentic workflows fill context windows with high-quality, information-dense content exactly when needed.

Pace & Problems Fast-moving engineering team that understands the space. Company-wide AI adoption push creates both urgency and opportunity. Expect interesting problems: How do we maintain sub-200ms retrieval latency at scale? When does GraphRAG justify its indexing cost? How do we balance context freshness with cache efficiency? You'll shape answers that become architectural patterns across the organization.

Impact Define a nascent discipline at a company that's already AI-first in product thinking and organizational structure. Your architectural decisions compound—every improvement to context quality multiplies across Copilot, GTM Studio, MarketingOS, and future products we haven't imagined yet. This is infrastructure work with direct line-of-sight to customer value.

#LI-VC1

#LI-Remote 

ABOUT THE ROLE

We are looking for a talented Sr. GenAI Engineer who sits at the intersection of knowledge engineering, agentic AI, and data intelligence. In this role you will design and operate AI agents that traverse, reason over, and enrich large-scale knowledge graphs — then extend that context dynamically using live data sources such as the web, enterprise APIs, and structured databases.

The ideal candidate is deeply comfortable with graph data models, LLM orchestration frameworks, and retrieval-augmented pipelines. Bonus points if you have experience working in trade-craft or intelligence-adjacent environments where provenance, precision, and adversarial robustness are non-negotiable.

KEY RESPONSIBILITIES

Knowledge Graph Engineering

• Design, build and maintain large-scale property graphs and RDF triplestores (Neo4j, Amazon Neptune, Stardog, or equivalent).
• Develop and govern ontologies, taxonomies, and entity-relationship schemas that reflect real-world domain semantics.
• Implement graph ingestion pipelines that extract, transform, and link entities from structured, semi-structured, and unstructured data.
• Optimise graph traversal queries (Cypher, SPARQL, Gremlin) for sub-second response at production scale.
• Train and deploy graph neural networks (GNNs) for node classification, link prediction, and subgraph retrieval - Maintain model retraining workflows triggered by graph drift or coverage degradation.

Agentic AI Systems

• Architect and implement autonomous agents that plan multi-step reasoning chains over knowledge graph data using LLMs (GPT-4o, Claude, Gemini, or open-source equivalents).
• Build graph-aware Retrieval-Augmented Generation (RAG) pipelines that blend structured graph context with unstructured document retrieval.
• Design tool-use and function-calling layers so agents can query live data sources — web search, REST/GraphQL APIs, relational databases — to extend or verify graph knowledge.
• Implement agent memory, reflection, and self-correction loops to improve reliability over multi-hop tasks.

Context Enrichment & Data Fusion

• Integrate web scraping, news feeds, and open-source intelligence (OSINT) sources to keep the knowledge graph current.
• Build entity resolution and deduplication components that merge data from heterogeneous sources into a consistent graph.
• Develop confidence-scoring and provenance-tracking mechanisms so downstream consumers understand the reliability of any piece of context.

MLOps & Production Readiness

• Package agents as scalable microservices; instruments with observability tooling (tracing, latency, token cost).
• Collaborate with platform engineers to deploy workloads on cloud-native infrastructure (AWS / GCP / Azure).
• Maintain evaluation harnesses that measure agent accuracy, hallucination rate, and graph coverage over time.

REQUIRED SKILLS & EXPERIENCE

• 5 + years of professional software engineering with strong Python (or Java / Kotlin) proficiency.
• Hands-on production experience with at least one major graph database — Neo4j, Amazon Neptune, TigerGraph, or comparable.
• Demonstrated knowledge of graph query languages like Cypher, SPARQL, or Gremlin — at production query complexity.
• Direct experience building LLM-powered agents or pipelines using frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or Semantic Kernel.
• Solid understanding of RAG architectures: chunking strategies, vector stores (Pinecone, Weaviate, pgvector), hybrid retrieval, and re-ranking.
• Familiarity with prompt engineering, few-shot learning, and LLM evaluation techniques.
• Experience integrating external data sources via APIs, web scraping (Playwright / Scrapy), or streaming pipelines (Kafka / Kinesis).
• Working knowledge of containerisation (Docker, Kubernetes) and CI/CD pipelines.
• Familiarity with graph export formats - at least one GraphML, RDF/OWL, or JSON-LDExperience integrating GNN-derived features into vector stores or RAG pipelines

PREFERRED QUALIFICATIONS

• Advanced degree (MS / PhD) in Computer Science, Information Science, Computational Linguistics, or a related field.
• Experience in intelligence, defence, or trade-craft environments — working with OSINT, link analysis, entity disambiguation, or signals intelligence data.
• Understanding of access-control models for sensitive graph data (need-to-know, compartmentalisation, provenance labelling).
• Familiarity with knowledge representation standards like OWL, SHACL, RDF-star, JSON-LD, W3C PROV.
• Experience with fine-tuning or instruction-tuning open-source LLMs (Llama, Mistral, Falcon) for domain-specific tasks.
• Background in network-analysis algorithms: centrality, community detection, path-finding, anomaly detection on graphs.
• Contributions to open-source graph or GenAI projects; published research or technical blog presence.
• Active or adjudicatable security clearance (Secret or above) — strongly preferred for trade-craft assignments.

Job Title: AI Researcher (AI-Oriented Knowledge Systems)

Location: Piscataway, NJ

The estimated salary range for this role is $85,000 - $145,000 depending on experience. 

Responsibilities

Core Research Directions: Responsible for one or two of the following areas:

Knowledge Extraction & Structuring

• Research techniques for extracting structured knowledge from multi-source heterogeneous data (documents, web pages, databases, conversation logs)
• Design automated pipelines for entity recognition, relation extraction, and event detection
• Develop knowledge quality assessment and cleaning mechanisms to filter noise and conflicting information
• Explore LLM-assisted knowledge extraction methods, balancing automation efficiency with manual validation costs
• Research incremental knowledge extraction strategies to support continuous knowledge base updates and expansion

Knowledge Organization & Representation

• Design knowledge graph schemas and ontologies to build structured frameworks for domain knowledge
• Research Knowledge Embedding techniques to achieve fusion of knowledge and vector spaces
• Develop multi-level knowledge representation systems supporting coarse-to-fine granularity knowledge navigation
• Explore knowledge fusion and alignment techniques to resolve entity disambiguation and conflict resolution from multi-source knowledge
• Research knowledge version management and provenance mechanisms to ensure knowledge traceability

Knowledge Retrieval & Augmentation

• Optimize RAG (Retrieval-Augmented Generation) systems to improve retrieval accuracy and answer quality
• Research hybrid retrieval strategies combining vector search, keyword search, graph traversal, and other approaches
• Develop retrieval re-ranking algorithms to enhance Top-K result relevance
• Design retrieval-generation collaborative optimization mechanisms to reduce hallucinations and erroneous citations
• Explore retrieval feedback learning to continuously optimize retrieval strategies based on user behavior

Knowledge Reasoning & Question Answering

• Research knowledge graph-based reasoning techniques supporting multi-hop reasoning, logical reasoning, and causal reasoning
• Develop Complex QA systems supporting multi-condition and multi-step question answering
• Explore fusion methods combining LLMs with symbolic reasoning, leveraging advantages of both neural and symbolic approaches
• Design interpretability frameworks for reasoning processes, supporting answer provenance and reasoning chain visualization
• Research knowledge gap detection and active learning mechanisms to identify coverage blind spots in the knowledge base

Knowledge Update & Maintenance

• Design knowledge timeliness management mechanisms supporting knowledge expiration detection and automatic updates
• Research knowledge conflict detection and resolution strategies for handling contradictory information fusion
• Develop knowledge base health monitoring systems tracking coverage, accuracy, freshness, and other metrics
• Explore human-feedback-driven knowledge iteration mechanisms
• Research knowledge compression and summarization techniques to optimize storage efficiency and retrieval performance

Job Requirements

Basic Qualifications

• Master’s degree or above in Computer Science, Artificial Intelligence, Information Management, or related fields
• 3+ years of AI-related research or development experience with hands-on experience in knowledge graphs, RAG, or QA systems
• Publications in top-tier conferences (ACL, EMNLP, SIGIR, WWW, NeurIPS, etc.) preferred

Technical Skills

Programming & Engineering

• Proficient in Python with expertise in data processing and large-scale text processing techniques
• Familiar with mainstream NLP frameworks (spaCy, NLTK, HuggingFace Transformers, etc.)
• Experience with graph databases (Neo4j, NebulaGraph, JanusGraph, etc.)
• Familiar with vector databases (Milvus, Chroma, Weaviate, FAISS, etc.)

AI Expertise

• Deep understanding of core NLP technologies: entity recognition, relation extraction, text classification, semantic similarity
• Familiar with the full lifecycle of knowledge graph construction and application
• Proficient in RAG technology stack with hands-on experience in retrieval optimization, re-ranking, and answer generation
• Prior experience in vertical domain knowledge system construction and knowledge-driven LLM application deployment (e.g., healthcare, legal, finance, technology) preferred
• Familiar with multi-modal knowledge processing (text + image + table + structured data)

Data Processing

• Familiar with large-scale data processing technologies (Spark, Flink, Dask, etc.)
• Experience in data governance such as data cleaning, deduplication, and standardization preferred
• Familiar with common data formats and protocols (JSON, XML, RDF, OWL, etc.)

Research Capabilities

• Ability to conduct independent technical research, owning the full process from problem definition to solution deployment
• Strong literature review and summarization skills with ability to quickly absorb cutting-edge research findings
• Experimental design and evaluation capabilities, able to design proper comparative and ablation studies

Soft Skills

• Strong interest in the intersection of knowledge engineering and AI, keeping up with latest domain developments
• Excellent communication and collaboration skills, able to work efficiently with engineering and product teams
• Systems thinking ability to approach knowledge system design from an overall architecture perspective

#LI-EB1

#GS

Senior Software Engineer: Front-End

About the role 

We are seeking someone to lead, architect and develop features for our Risk Cloud platform. This role requires a deep understanding of business and engineering goals, and the ability to work collaboratively with team members to achieve them. The ideal candidate will inspire and exemplify cross-functional collaboration, working closely with product managers, designers, engineers, and QA professionals. They will advocate for and implement modern best practices in engineering, including a testing-first mindset, frequent releases, and iterative development with small feedback loops. Additionally, effective communication and the ability to produce clear documentation for features and processes are essential for this position.

How you'll spend your time:

• Develop / Utilize Angular, Typescript, and other leading Front-End tools to build a market leading product.
• Quality / Write tests and review code to facilitate an efficient dev cycle and prevent the occurrence of bugs.
• Collaborate / Work closely with cross-functional team members using Agile methodologies to iterate on feature work.
• Optimize / Help improve our front-end application for speed, reliability, and scalability.

What we use:

• Frontend: TypeScript, Angular, Webpack, Sass
• Backend: Spring Boot, Java, Kotlin, Go
• Data: Neo4j, Redis, RabbitMQ, PostgreSQL
• Test: JUnit, Karma, Jasmine, Spectator, Cypress
• Infrastructure: AWS, Terraform, Kubernetes, Docker, Ansible
• Work: GitLab, Slack, Jira, Confluence, G Suite

We get excited about you if you have:

• Significant (6+ years) of professional experience in software engineering or a Bachelor's in Computer Science or a related field (we value outcomes over number of years)
• Desire to grow as a leader, architect, and coder within an engineering atmosphere that moves quickly and strives to raise the bar.
• Understanding of best practices and competency in one or more modern languages (it doesn't have to be a language that is part of our stack).
• Strong expertise developing web applications with modern Front-End frameworks.
• Desire for an autonomous environment that enables you to do your best work.

How you’ll Raise the Bar:

• The tools, languages, and frameworks powering our platform align with your work history.

• While a Front-End expert, you thrive working across the full software stack.
• You’ve worked to bolster or optimize E2E systems.

The anticipated base salary range for the role is $125,000 - $165,000 per year + variable + equity + benefits. Actual salaries may vary and will be based on factors, such as the candidate's qualifications, skills, competencies, and proficiency for the role. Internal candidates who have current pay within or above the hiring range are still encouraged to apply if interested.

LogicGate’s Hybrid Workplace

Our hybrid workplace allows for flexibility aligned to role responsibilities and exceptional customer delivery. Location requirements for this role can be found above. 

Total Rewards 

We are proud to offer a variety of competitive, inclusive, and comprehensive total rewards that are designed to support the unique needs of our employees both inside and outside of the workplace.

In addition to offering competitive salary and variable compensation plans, equity options, and flexible health and wellness benefits, we are proud to offer generous PTO, Annual Company Holidays, Health Days, and Summer Fridays.

Employees' growth and development are supported throughout their career journey through informal and formal programs and activities, including access to LinkedIn Learning, regular People Leader training, and our internal Mentorship Program. 

Our Culture

At LogicGate, our culture and employee experience are grounded in our core values of Be as One, Do the Right Thing, Embrace Curiosity, Own It, Empower Customers, and Raise the Bar, which guide how we show up - for each other, our customers, and all we interact with.

We believe that the strongest teams are made up of individuals who bring their different identities, experiences, and perspectives to the table. We are committed to fostering an inclusive work environment where all employees’ differences are celebrated and everyone is encouraged to bring their authentic selves to work.

We encourage everyone to join one of our Employee Resource Groups (AAPI @ LogicGate, Pride at LogicGate, and Women in LogicGate) to participate in and contribute to conversations that foster an inclusive culture.

LogicGate also believes strongly in giving back to the communities in which we live and work. To enable our teams to give back, we offer paid volunteer hours and company-wide charitable activities supporting a variety of organizations and causes.

We are proud to have been recognized as a top workplace by Built In, Crain’s Chicago Business, the Chicago Tribune, and more. Visit our website to learn about our latest recognition.

Learn more about our culture here. 

Excited about LogicGate but not familiar with GRC? 

• GRC stands for Governance, Risk, and Compliance
• GRC professionals help their companies manage uncertainty, act with integrity, and stay on the right side of the law. 
• The GRC market is rapidly expanding with continuous growth opportunities. The current market size was valued at $50.5 billion in 2024 and is projected to reach $104.5 billion by 2031.

Who We Are:
The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams.

What You’ll Do:
As a Staff ML Infrastructure Engineer, you will lead development of a platform for large scale ML models at Reddit.

• Design end-to-end model lifecycle patterns (MLOps) to boost velocity of development for ML engineers, including data preparation, model management, experiment tracking, and more
• Zero-to-one development and support of a graph ML codebase and platform that abstracts away common patterns and enables greater model scalability and iteration
• Collaborate with ML engineers on performance tuning, including improving model training time, efficiency, and GPU training costs in a large, distributed ML training environment
• Optimize batch data processing within a data warehouse and with tools such as Apache Beam, Apache Spark, Ray Data, and more
• Architect pipelines to build and maintain massive graph data structures on the order of billions of nodes and tens of billions of edges

Who You Might Be:

• 8+ years of experience in ML infrastructure, including model training and model deployments
• Hands-on experience with ML optimization, including memory and GPU profiling
• Deep experience with cloud-based technologies for supporting an ML platform, including tools like GCP BigQuery, Google Cloud Storage, infrastructure-as-code (Terraform), and more
• Hands-on experience administering and integrating MLOps tools for experiment tracking, model serving, and model registries (e.g. MLflow or Wandb)
• Proficiency with the common programming languages and frameworks of ML, such as Python, PyTorch, Tensorflow, etc.
• Deep experience working with distributed training frameworks, including Ray and Kubernetes
• Strong focus on scalability, reliability, performance, and ease of use. You are an undying advocate for platform users and have a deep intuition for the machine learning development lifecycle.
• Strong organizational & communication skills
• Experience working with graph databases (Neo4j, JanusGraph, TigerGraph) is a big plus
• Experience working with graph neural networks (GNNs) and associated graph ML frameworks (PyTorch Geometric, Deep Graph Library) is a big plus

Who We Are:
The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams.

What You’ll Do:
As a Senior ML Infrastructure Engineer, you will lead development of a platform for large scale ML models at Reddit.

• Design end-to-end model lifecycle patterns (MLOps) to boost velocity of development for ML engineers, including data preparation, model management, experiment tracking, and more
• Zero-to-one development and support of a graph ML codebase and platform that abstracts away common patterns and enables greater model scalability and iteration
• Collaborate with ML engineers on performance tuning, including improving model training time, efficiency, and GPU training costs in a large, distributed ML training environment
• Optimize batch data processing within a data warehouse and with tools such as Apache Beam, Apache Spark, Ray Data, and more
• Architect pipelines to build and maintain massive graph data structures on the order of billions of nodes and tens of billions of edges

Who You Might Be:

• 5+ years of experience in ML infrastructure, including model training and model deployments
• Hands-on experience with ML optimization, including memory and GPU profiling
• Deep experience with cloud-based technologies for supporting an ML platform, including tools like GCP BigQuery, Google Cloud Storage, infrastructure-as-code (Terraform), and more
• Hands-on experience administering and integrating MLOps tools for experiment tracking, model serving, and model registries (e.g. MLflow or Wandb)
• Proficiency with the common programming languages and frameworks of ML, such as Python, PyTorch, Tensorflow, etc.
• Deep experience working with distributed training frameworks, including Ray and Kubernetes
• Strong focus on scalability, reliability, performance, and ease of use. You are an undying advocate for platform users and have a deep intuition for the machine learning development lifecycle.
• Strong organizational & communication skills
• Experience working with graph databases (Neo4j, JanusGraph, TigerGraph) is a big plus
• Experience working with graph neural networks (GNNs) and associated graph ML frameworks (PyTorch Geometric, Deep Graph Library) is a big plus

Director of Engineering, Core Database

Yugabyte is seeking an experienced and accomplished Director of Engineering to lead key aspects of our distributed SQL database development. This leader will drive the architecture, development, and delivery of core transactional, storage, and distributed systems components, ensuring YugabyteDB maintains industry-leading performance, scalability, and resilience. They will also manage and mentor our growing team.

This role requires a mix of software architecture expertise to design and implement practical solutions, as well as the ability to work closely with developers to identify patterns and tools that simplify solution building. You will lead one or more critical engineering teams focused on the heart of YugabyteDB, bringing technical depth in database internals and distributed systems to mentor and grow a world-class engineering organization.

This position demands a blend of hands-on architectural expertise, large-scale systems design, and the ability to execute against an ambitious product roadmap, with a deep understanding of transactional databases, distributed systems, and microservice-based applications.

Role and Responsibilities

• Technical Strategy & Architecture: Define and drive the technical roadmap and architecture for core database components, including the storage engine (LSM/RocksDB), transactional layer, distributed consensus (RAFT), and multi-master replication (xCluster).

• Engineering Execution: Own the end-to-end development, quality, performance, and operational excellence of your teams' components, ensuring deployment in cloud-native environments (e.g., Kubernetes).

• Team Leadership & Mentorship: Recruit, mentor, and manage high-performing engineering teams. Foster a culture of deep technical ownership, collaboration, and continuous improvement.

• Systems Scaling & Reliability: Lead projects focused on write scaling, improving concurrency (e.g., DDL concurrency), ensuring cache coherency, and achieving 99.995% availability in distributed, multi-tenant, cloud-native environments.

• Cross-Functional Collaboration: Partner closely with Product Management, Technical Leadership (TDs/CTO), and other engineering teams (Query Optimizer, QA) to define requirements and deliver integrated, impactful features.

Required Experience

The ideal candidate will have demonstrated senior leadership in domains directly applicable to distributed databases:

• Experience: 10+ years of progressive software development experience, with at least 3+ years in a Director role managing multiple teams or critical product areas.

• Database Internals Expertise: Substantial experience designing and developing core components of production-grade relational or distributed database engines (e.g., storage/access layer, buffer cache, logging, recovery, lock management, indexing, LSM).

• Distributed Systems & Cloud-Native Architectures: Proven ability to design and deliver internet-scale, highly available, multi-tenant distributed systems, leveraging technologies such as Service Fabric, distributed lock managers, distributed transaction managers, and cloud object storage.

• Core Programming Languages: Hands-on experience in systems programming languages, particularly C/C++ and Go.

• Scalability and Performance: Direct experience resolving performance bottlenecks (e.g., range scans, nested loop joins) and re-architecting systems for massive scaling (e.g., separating log/data, multi-writer architectures).

Nice-to-Have Qualifications

• YugabyteDB/PostgreSQL: Experience with PostgreSQL internals or PostgreSQL-compatible distributed databases.

• Cloud & Kubernetes: Hands-on experience with modern public cloud infrastructure and cloud-native technologies such as Kubernetes and Prometheus.

• NoSQL Databases: Familiarity with NoSQL databases.

• Open Source & Research: Contributions to open-source database projects, patents, or successfully integrating research concepts (e.g., ML-based anomaly detection) into products.

• Data Technologies: Experience with technologies common in the Yugabyte ecosystem, such as Apache Bookkeeper, Spark, Kafka, or other NoSQL/Graph databases (e.g., Neo4J).

We work in a hybrid model, with the team together in our Sunnyvale office 2–3 days per week.

We feel strongly about equal pay for equal work, and transparency in compensation is one way to help achieve that. The cash compensation for this role is market competitive, with a range of USD 220,000-USD 250,000, inclusive of variable/incentive for some roles. As well as equity (when applicable), and benefits including health plans, retirement plans, and unlimited paid time off (PTO). The pay range for this position is a general guideline only and not a guarantee of compensation or salary. The actual pay will vary based on factors including experience, qualifications, and skill level.

Due to the Proclamation, “Restriction on Entry of Certain Nonimmigrant Workers”, which went into effect on September 21, 2025, at this time we are no longer able to sponsor new H-1B visa petitions filed after September 21, 2025 for new hires. We are still able to consider candidates who require H-1B extensions, changes of employer, or other types of work authorization.

#LI-Hybrid

About Prophecy 

The leader in AI-native data preparation and analysis, Prophecy is revolutionizing how the world’s top enterprises turn data chaos into reliable insights. We introduce the AI-native data lifecycle (generate, refine, deploy) where our industry leading AI agents and humans work hand-in-hand in visual and document interfaces to analyze, transform and prepare data, to ship trusted insights at enterprise scale. 

Don’t miss the rocket ship—join Prophecy and build the next data revolution.

Must-Have Skills:

• Hands-on LLM/agent building (e.g., LangChain/Graph, CrewAI) and tuning to quality benchmarks.
• Experience with semantic search, RAG, and vector databases.
• Experience with prompt engineering and optimization
• Agentic Use Cases: Hands-on experience building and deploying agents in at least one of the following scenarios:
• Workflow Orchestration: Automating multi-step processes (e.g., ETL pipelines, supply chain optimization, or CRM workflows like Salesforce Agentforce).
• Code Generation/Assistance: Developing or debugging code autonomously (e.g., similar to Devin AI or GitHub Copilot extensions).
• Data Analysis/Transformation: Querying, manipulating, or analyzing data across sources (e.g., topic extraction, document analytics in vector DBs like Weaviate).
• Personalized Assistance: Tailoring recommendations or plans (e.g., e-commerce, education, or finance agents).
• Autonomous Decision-Making: Real-time decisions in domains like trading or healthcare (e.g., crypto trading, medical workflow optimization).
• Content Creation: Generating text, art, or media (e.g., social media automation, presentation creation).
• Multi-Agent Systems: Collaborative agents for simulations or transactions (e.g., policy-constrained evaluation, machine-to-machine commerce).
• Versatile software developer: fluency in Python, REST APIs, microservices in public cloud; some experience with Go, AWS, k8s, java, Scala.
• Builder mentality: Demonstrated experience taking ideas to production.

What Will Make You Stand Out

• Expertise in building and managing Knowledge Graphs, including entity extraction, linkage, and ontology design.
• Experience integrating Knowledge Graph with AI systems for retrieval, reasoning, and agent context (e.g., enriching with LLM).
• ML/LLM work in code generation (e.g., Codex, text-to-SQL), semantic extraction, or knowledge graphs (e.g., Neo4j, Neptune).
• Experience with big-data engines like Spark.
• Compiler development for languages like SQL, Python, or Scala.
• Optimization of ML models for low-latency, high-throughput production use.
• Contributions to open-source AI/ML projects (e.g., Hugging Face, PyTorch).
• Expertise in retrieval systems or vector databases (e.g., Pinecone, Weaviate).
• Skill in evaluating tech and driving build/buy decisions

Seniority: Mid to Staff Level

Location: This is a Hybrid role with 2-3 days a week in office. However, this can vary week to week. 

Experience: 6+ years of Software Engineering experience minimum with 2+ of these being in AI/ML

Compensation:  $250,000–$350,000

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates. 

Benefits and Perks

• Prophecy covers 99% of employee health insurance premiums and 75% for dependents
• We offer $200 per month towards remote work, wellness, gyms, massages, facials, and more!
• Flexible PTO
• Professional development allowance
• Company sponsored Long Term Disability and Life Insurance, FSA/HSA, dental, vision, and more
• Ability to have your fingerprint on an innovative platform
• End-to-end ownership of your projects. 

*Benefits and perks may vary per country

Prophecy is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, age, disability, or veteran status.

Role Overview

ID.me is seeking a Principal Tech Lead Manager (TLM) to lead the engineering teams responsible for two foundational platform domains: the Organization Platform and the Data Acquisition & Normalization team. Together, these teams define how organizations are represented, validated, and trusted within ID.me's Identity Trust Graph — and how the attribute data powering those trust decisions is acquired, normalized, and kept current.

The Organization Platform team owns the APIs and services that create, validate, and manage organization records, applications, domain verification, business onboarding, and org-to-org relationships. This is the authoritative source of truth for how businesses and institutions are represented across ID.me's ecosystem — powering developer portal adoption, partner integrations, and downstream identity workflows.

The Data Acquisition & Normalization team is the execution arm of the Identity Trust Graph — building and operating connectors to authoritative and commercial data sources (government registries, telcos, licensing authorities, commercial data providers), normalizing heterogeneous data into clean schemas, and feeding validated attributes into the trust graph at internet scale.

As a TLM at the Principal level, you will be accountable for the technical architecture, delivery, reliability, and operational health of both platforms, as well as the growth and performance of the engineers delivering them. You will partner closely with Product, Security, Compliance, and enterprise stakeholders to drive a roadmap that balances velocity with the rigor these domains demand.

This position will be based full-time in our Mountain View, CA office five days per week.

Key Responsibilities

• Define and evolve the technical architecture for the Organization Platform — including Organizations API, Applications API, Domain Validation, Business Onboarding, RBAC, AI-driven org validation, and workflow engine services.
• Own the architecture and operational strategy for the Data Acquisition & Normalization platform — including source connectors, normalization pipelines, and validation event delivery to downstream consumers.
• Champion API-first, platform-first design across both teams — ensuring services are developer-friendly, well-documented, versioned, and built for long-term interoperability.
• Drive roadmap delivery across both teams — setting priorities, removing blockers, and ensuring high-quality, well-tested software ships on time.
• Build a team culture of ownership, technical rigor, continuous improvement, and high-quality code.
• Mentor senior and staff engineers, developing the next generation of technical leaders within the org.
• Serve as the technical bridge between Engineering, Product, Legal/Compliance, Security, and enterprise customer teams across both domains.
• Provide technical input into team and org-level planning, influencing roadmap prioritization based on platform capabilities and constraints.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
• 10+ years of software engineering experience, with at least 3 years in an engineering management or tech lead manager capacity leading teams of 5–10+ engineers.
• 5+ years of experience building and operating secure, scalable backend APIs and distributed systems (Java, Go, Ruby, Python, or similar).
• 5+ years of experience building and operating data pipelines, API integrations, or ETL/normalization systems at scale.

Preferred Qualifications

• Master's degree in Computer Science or a related technical field.
• Deep familiarity with data privacy, security, and compliance considerations in products that handle sensitive personal or organizational data.
• Proven track record collaborating cross-functionally with Product, Legal/Compliance, Security, and business stakeholders to deliver complex programs.
• Strong communication skills with the ability to represent engineering decisions clearly to both technical and non-technical audiences.
• Experience building or managing organization identity, business verification, or entity attribute platforms at scale.
• Familiarity with data acquisition patterns including screen scraping, REST/SOAP integrations, batch data flows, and normalization pipelines.
• Experience with AI-driven validation, profiling, or classification systems integrated into production data pipelines.
• Hands-on experience with OAuth2, OpenID Connect, SAML, and enterprise SSO in the context of B2B integrations or developer onboarding.
• Experience with graph databases (e.g., Neo4j) and modeling entity-attribute relationships at scale.
• Experience with cloud-native infrastructure (AWS, GCP, or Azure), container orchestration (Kubernetes, GKE), and infrastructure-as-code.
• Bonus: Experience at a FinTech, identity, data aggregation, or developer platform company (e.g., Plaid, Yodlee, Okta, Twilio).

About ID.me

ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly log in across websites without needing to create a new login and re-verify. Over 140 million users experience streamlined login and identity verification with ID.me at 20 federal agencies, 44 state government agencies, and 66 healthcare organizations. More than 600 consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me's technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to "No Identity Left Behind" to enable all people to have a secure digital identity.

Who We're Looking For - Senior Data Engineer

As a Senior Data Engineer you will be responsible for developing software solutions that support the Data Platform, Analytics, and Digital Transformation initiatives at Clearlink through a multi-disciplinary approach including elements of Software Development, applied Data Science, and Big Data. Additionally, the Senior Data Engineer is responsible for developing and maintaining Big Data pipelines that provide enterprise access to company data and guides more junior team members.

The Impact You Will Make

• Adheres to Clearlink policies on ethics and integrity.
• Under minimal supervision, develops software applications in varied and challenging technical domains and takes ownership over multiple assigned projects on a technical level; programming specializations include real time streaming, Web-based user interfaces, data visualization, PCI security, cloud services, multi-media, Artificial Intelligence, and Machine Learning.
• Leverages Data Science tools and techniques to provide business insights from large, unstructured datasets.
• Assembles and analyzes large, complex datasets that meet business requirements.
• Builds the infrastructure required for extraction, transformation, and loading of data from a wide variety of data sources using relational, document, graph, and data lake technologies.
• Models problem domains in relational, document, and graph technologies as required.
• Creates data tools for analytics and data scientist team members.
• Works with architects/software development and UX teams to develop processes and applications.
• Creates, evaluates, and deploys machine learning models to provide real-time predictions to improve business processes.
• Creates programming modules and performs software development tasks (design, development, testing, maintenance) as part of a development team.
• Creates websites, web-based dashboards, and data visualizations that enhance the organization’s ability to understand data and make decisions.
• Builds analytics tools that interface to a data pipeline to provide actionable insights into key business performance metrics.
• Creates scripts, jobs, monitors, and interfaces to facilitate deployment and productization of applications and solutions.
• Implements internal process improvements, including automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.
• Creates functional and technical documentation including dashboard design specifications, operating manuals, release notes, and security requirements for reports created and maintained.
• Performs quality assurance testing of User Interfaces, Application interfaces, code and processes.
• Analyzes, troubleshoots, and solves development and production software

What You Bring

• MINIMUM Education Requirement: Master's degree in Computer Science, MIS, Information Systems, Engineering (any), or related field.
• MINIMUM Experience Requirement: Three (3) years of experience in Information Systems, Software Development, or related, not including internship and school assistant positions.
• ALTERNATE Education/Experience Requirement: Bachelor's degree in Computer Science, MIS, Information Systems, Engineering (any), related field, and five (5) years of experience in Information Systems, Software Development, or related, not including internship and school assistant positions.
• ALTERNATE Requirement: Seven (7) years of experience in Information Systems, Software Development, or related, not including internship and school assistant positions.
• Big Data, Machine Learning, AI, and Analytical Technologies.
• Enterprise and web-based software development and experience creating and deploying enterprise applications.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Experience building and optimizing ‘big data’ data pipelines, architectures, and datasets.
• Experience with Object Oriented/Programmatic ETL/Data Integration Workflow Management Services
• Experience in fintech related work (managing and building out comprehensive finance kpis, financial data pipelines, applying financials to operational / transactional events and financial data sets)
• Experience in web development technologies including in one or more of the following: HTML, JavaScript, jQuery, or GraphQL
• SQL
• Experience in one or more web application platforms (e.g., Flask, ASP).
• Experience in Application development in one or more of the following: Python, R, C#, java, JavaScript, Golang.
• Solving problems using Analytical and Data Science methods: modeling, clustering, Machine Learning, AI, and others.
• Application and Data Security.
• Experience with cloud services: Data Lake, Enterprise Queues, Machine Learning, AI, DevOps, etc.
• Streaming Technologies.
• Experience with relational SQL, NoSQL, and Graph databases such as Neo4j, Document DB, and
  others.

Perks That Set Us Apart

• 🩺 Healthcare: We offer low-cost, competitive health coverage (domestic partners included!) with employer-paid counseling services.
• 💰 Invest in the Future: Enjoy 401(k) matching after just two months of employment, with employer matching starting at ~3%.
• 🧘‍♀️ Lifestyle Spending Stipends: Access an employer-paid spending account for physical, financial, and emotional wellbeing expenses.
• 🏝️ Flexible Time Off: We offer competitive time-off balances that accrue weekly, just like your paycheck. (Yes, we’re paid weekly too!)
• 👶🏻 Parental Leave: We provide 2 weeks of paid parental leave during the first year and up to 9 weeks after one year of employment.
• ✈️ Generous Paid Holidays: Celebrate cultural diversity with additional flex holidays in addition to our company paid holidays.
• 🧑‍💻 Flex Schedule: This is a hybrid role. Expect in-office collaboration on Tuesdays and Thursdays, with Wednesdays designated as a flex day based on team and manager needs. Remaining workdays are remote, depending on role requirements.
• 🛟 Comprehensive Life Insurance: Ensure peace of mind with coverage that extends beyond the workplace with employer paid life insurance (including coverage for dependents and spouses).
• 🤝 Employee Resource Groups (ERGs): Join us in fostering connections, celebrating diversity, and providing a supportive community for all.

At Clearlink, we go beyond the basics, ensuring your experience with us is not just professionally fulfilling but personally enriching too.

Interviewing at Clearlink

We know interviews can be stressful. Here are some stages you can expect from a typical interview with Clearlink. 

• Once your application is submitted, we will review it and be in touch
• 30-min phone call with the Recruiting Team
• 30-min - 1 hour interview with the Hiring Manager
• 30-min - 1 hour interview with a Clearlink Panel

Some interview processes can vary, depending on the role. Your recruiter will give you a role-specific interview process during your first phone call.

#LI-SW1
#LI-Hybrid

What Impact You’ll Have

GRVTY’s team provides tactical data engineering solutions. We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence analyst groups to be their go-to data wranglers. We develop new tools, code, and services to execute data engineering activities. Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to immediate mission needs, with direct impact on real world situations. You will see your work used here on a daily basis, and you'll have the opportunity to support a variety of Sponsor mission organizations and mission partner organizations.
This is a time of development and growth on the program, with an increasing number of missions being supported. The work is high impact and important, and the customer moves quickly. The environment is fast-paced, flexible, and open to innovation - you'll have more latitude here in choosing how to achieve results than on many other projects. The customer cares more about what you can do as opposed to your years of
experience, and work hours are typically quite flexible - roll up your sleeves, get things done, and no one cares much about the specific hours that you work. The work space itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work on this program takes place in McLean, VA and in various field offices throughout Northern VA (we cannot support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer).

What You’ll Be Owning

GRVTY is seeking a Network Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Chantilly, VA. Seeking an experienced Network Engineer that will be responsible for managing and maintaining the organization's complex and secure network infrastructure. Must have at least 5 years of experience with configuring Cisco IOS and/or Cisco NX-OS in a datacenter environment including experience configuring VLANs, Routing, and security settings.  Experience in top of rack configurations and storage area network configuration is preferred but not required. Has experience with Cisco implementations who can optimize network processing and operations. Ability to work independently as well as be a part of an agile team to transform the client's hybrid cloud platform.

What You Must Have

• Active TS/SCI with Polygraph Clearance
• Minimum of 5 years of experience with:
• Configuring Cisco IOS and/or Cisco NX-OS in a data center environment
• Experience with VLANs, routing and security settings
• Cisco implementations, network processing and operations

About the Team

The Data Services team is focused on building robust, scalable, and efficient data services, pipelines, lakes, tools, libraries, and software components that drive best practices and empower service teams to succeed. We design and implement data services, pipelines and data lakes for operational analysis, ensuring they are production-ready with automation and standardized access controls. 

We lead and evangelize the principle of 100% automation. Additionally, we establish best practices, provide training, and document data architectures to ensure our systems are reliable, future-ready, and capable of continuous evolution and process improvement across the organization.

About the Role

Crunchyroll is growing and changing, presenting unique challenges and opportunities to support millions of anime fans around the world. The Data Engineering team provides seamless help to our internal stakeholders, ensuring an exceptional experience for all Crunchyroll fans.

As a Software Engineer, you will play a pivotal role in designing, implementing, and optimizing data services, ensuring that our data services support the needs of the business. You will also collaborate with cross-functional teams to enhance eventing systems, and develop tools that empower our data and services teams. Your expertise will also be critical in driving 100% automation, best practices, creating scalable services, and optimizing our data environments.

Key Areas of Responsibility

• Write clean, maintainable, and well-documented API and code while adhering to industry best practices, including code reviews and design patterns.
• Identify and resolve performance bottlenecks, ensuring that both frontend and backend components are optimized for speed and reliability.
• Contribute to the automation and optimization of build, deployment, and monitoring processes to support a smooth development lifecycle.
• Develop and maintain comprehensive test suites (unit and integration) to ensure system reliability and robustness.
• Implement and maintain security best practices, safeguarding sensitive data and ensuring compliance with relevant standards and regulations.
• Must be proficient in both TypeScript and Python
• Design, build, and maintain scalable applications/services using TypeScript and Python and modern backend frameworks (Node.js preferred).
• Build event-driven architectures and event interfaces using AWS services such as SNS/SQS, EventBridge, Kinesis, or Kafka.
• Deep understanding of AWS Processing Framework like Step Functions
• Architect and optimize database schemas and queries for relational (RDS PostgreSQL, MySQL), NoSQL (DynamoDB) and Graph Database (Neo4j).
• Collaborate with service engineers, data engineers, and product teams to deliver high-quality software solutions.
• Apply best practices for code quality, security, testing, and performance optimization.

About you

We get excited about candidates, like you, because...

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 5+ years of experience in backend engineering, specializing in microservices, APIs, and event-driven systems.
• Strong expertise in TypeScript (Node.js) and Python.
• Experience in building applications/services using TypeScript and Python and modern backend frameworks (Node.js preferred).
• Deep understanding of cloud-based architectures (AWS preferred), including serverless frameworks, containerization (Docker, Kubernetes), and CI/CD pipelines.
• Hands-on experience with event-driven architectures and event interfaces (Kafka, SNS/SQS, EventBridge, Kinesis).
• Strong database design skills across relational (RDS PostgreSQL, MySQL), NoSQL (DynamoDB) and Graph Database (Neo4j).
• Excellent problem-solving skills, ownership mentality, and ability to work in a collaborative, fast-paced environment.

NIce to Have:

• Experience with retrieval-augmented generation (RAG) or Graph RAG architectures.
• Knowledge of fine-tuning and optimizing LLMs for performance and cost efficiency.

Why you will love working at Crunchyroll

In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:

#LifeAtCrunchyroll #LI-Hybrid

Role Summary

Babel Street is building an AI-native, agent-ready, API-first intelligence platform where computer vision, NLP, and document enrichment continuously produce signals about people, places, organizations, and events. The knowledge graph transforms those signals into a coherent, queryable representation of the world.

We are hiring a Knowledge Graph Engineer to help design, build, and operate the entity resolution and graph layer that connects our multimodal pipelines. You will work closely with the Director of Computer Vision and collaborate with ML, platform, and data engineering teams to connect mentions in text, objects in images, locations in geotagged media, and entities in structured sources into a unified graph.

This is a hands-on engineering role where you will contribute to production systems, grow your expertise in graph modeling and entity resolution, and help shape a platform that is still evolving. This will be a hybrid role based out of either our Reston, VA or Somerville, MA office.

Key Responsibilities

• Implement and evolve graph schemas and entity models for people, locations, organizations, images, and events
• Build and maintain entity resolution pipelines that reconcile entities across NLP outputs (GLiNER, spaCy), computer vision outputs (object detection, OCR, face recognition, geolocation), and structured data sources
• Develop ingestion pipelines that write resolved entities into graph systems such as ArangoDB and Spanner Graph or BigQuery Graph
• Contribute to cross-modal linkage between text, images, and geospatial data, including confidence scoring and provenance tracking
• Collaborate with computer vision engineers to integrate visual entity outputs into the graph layer
• Help build graph-backed APIs and services used by downstream products and workflows
• Write tests, contribute to design discussions, and support improvements to data quality and pipeline reliability

Why This Role Matters

The knowledge graph is where Babel Street’s signals become usable intelligence. A detected landmark, a name extracted from text, an organization mentioned online, and a face identified in an image all become more valuable when they resolve to a shared representation of an entity.

In this role, you will help:

• Connect multimodal signals into a unified graph
• Improve the accuracy and consistency of entity resolution
• Enable downstream search, analytics, and agent workflows

Required Qualifications

• 2–5 years of professional software engineering experience (or equivalent experience through internships and projects)
• Proficiency in Python and at least one typed language (Java, Go, C#, or TypeScript)
• Familiarity with at least one graph database or graph processing framework (ArangoDB, Neo4j, TigerGraph, JanusGraph, NetworkX, or similar)
• Solid understanding of SQL and core data modeling concepts (keys, normalization, joins, indexing)
• Ability to work across teams, incorporate feedback, and make steady progress in ambiguous problem spaces

Preferred Qualifications

• Exposure to entity resolution, record linkage, or deduplication
• Familiarity with semantic modeling or schema design (RDF, OWL, property graphs, JSON-LD)
• Experience with cloud platforms such as GCP (Spanner, BigQuery, Cloud Run)
• Interest in computer vision, NLP, geospatial data, or multimodal systems
• Experience testing data pipelines, implementing data quality checks, or working with observability tools
• Exposure to search, ranking, or retrieval-based systems

What Success Looks Like (First Six Months)

• Month 1–2: Ramp up on the graph stack, contribute to existing pipelines, and ship initial changes
• Month 3–4: Take ownership of a component or pipeline with guidance, including testing and documentation
• Month 5–6: Deliver improvements to entity resolution quality, graph ingestion, or cross-modal linkage, and contribute to design discussions

Benefits at Babel Street (just to name a few...)

• Health Benefits: Babel Street covers 85-100% monthly premium costs for Medical, Dental, Vision, Life & Disability insurances – for you and your family!
• Retirement Plans: Babel Street offers both a Traditional and Roth 401(K) with a very competitive match.
• Unlimited Flexible Leave: We trust our employees to manage their own time and balance their personal and work lives.
• Holidays: Babel Street provides employees with 12 paid Federal Holidays
• Tuition Reimbursement: We are committed to investing in our employees. One way we do that is with our Tuition Reimbursement Program for continuing education.                 

Babel Street is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Further, Babel Street will not discriminate against applicants for inquiring about, discussing or disclosing their pay or, in certain circumstances, the pay of their co‐worker, Pay Transparency Nondiscrimination. In addition, Babel Street's policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works. Upon request, we will provide you with more information about such accommodations.

The Role:

This is a pivotal role, leveraging the unique strength of graph technology to solve the critical challenge in Agentic AI: providing rich, accurate, and connected context. When context is missing, LLMs "hallucinate," agents fail, and enterprise AI stalls. Neo4j's Graph Intelligence Platform is the solution, offering the contextual foundation necessary for reliable reasoning, precise retrieval, and confident action. This insight drives our AI strategy and makes this role one of the most consequential at Neo4j.

As the VP of Product Management for Agentic AI, you will define and execute Neo4j's product strategy at the intersection of graphs and agentic AI. This is a rare opportunity to pioneer a category, shaping how developers, data scientists, and enterprises build AI applications & agents powered by knowledge graphs. You will lead a team of Product Managers, collaborate closely with Engineering, GTM, and Research, and serve as the foremost internal champion and external voice for Neo4j's AI product vision.

Key Responsibilities

• Strategic Product Ownership: Define and own the AI product strategy, clearly articulating how the Neo4j graph platform uniquely enables key enterprise AI use cases, including Retrieval-Augmented Generation (RAG), knowledge graph construction, AI agents, and LLM grounding.
• Team Leadership: Lead and mentor a team of product managers focused on AI-related areas, providing direction, coaching for maximum impact, and ensuring tight alignment between the product roadmap and core business outcomes.
• End-to-End Product Lifecycle: Drive the product lifecycle from initial discovery through launch and continuous iteration. This involves translating complex customer needs, market signals, and technical constraints into clear, prioritized roadmaps.
• Cross-Functional Collaboration: Partner closely with Engineering, Field and Research to bring novel graph + AI capabilities to market, including critical integrations with leading AI frameworks (e.g., LangChain, LlamaIndex) and cloud AI platforms.
• Go-to-Market Strategy: Collaborate with GTM, Sales, and Marketing to shape positioning, packaging, and launch motions that resonate effectively with both technical builders and enterprise buyers.
• Customer & Community Engagement: Engage directly with customers and the developer community to gain a deep understanding of current AI building practices and identify where Neo4j can best remove friction and unlock new value.
• Market Intelligence: Monitor the competitive and ecosystem landscape—including LLM providers, vector databases, AI orchestration frameworks, and adjacent graph players—to identify both opportunities and potential risks.
• External Visionary: Represent Neo4j's AI product vision externally at conferences, in analyst conversations, and with strategic partners and customers.
• Expected travel: Up to 20%

Required Qualifications

• Proven Product Leadership: 8+ years in product management, including at least 3 years in a senior or leadership capacity, preferably within a developer-focused or data infrastructure company.
• Deep AI Ecosystem Knowledge: Hands-on experience building with or shipping products that incorporate LLMs, RAG pipelines, vector search, AI agents, or other related technologies.
• Strong Technical Acumen: Comfortable engaging with engineers and architects on complex topics such as graph data modeling, embeddings, retrieval architectures, and ML pipelines. Experience with Python or a similar language is a significant plus.
• Customer Focus: A demonstrated history of using qualitative and quantitative customer signals to drive product decisions that result in measurable business outcomes.
• Exceptional Communication & Influence: The ability to align diverse stakeholders around a compelling vision and clearly articulate complex technical concepts to both technical and non-technical audiences.
• Platform Experience: Understanding of developer adoption curves for new technologies and how enterprise data teams evaluate and deploy AI tooling, specifically within developer and data platforms.
• Modern Data Ecosystem Familiarity: Experience with major cloud platforms (AWS, GCP, Azure) and modern data ecosystems, including data warehouses, ML platforms, and orchestration frameworks.
• Education: A Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Senior HR Operations Generalist | Remote: Eastern or Central region strongly preferred

We’re looking for a Senior HR Operations Generalist to join our People Operations team, supporting our employees across AMER and APAC. This role is critical to ensuring our HR operations run smoothly, accurately, and efficiently across the employee lifecycle. 

The ideal candidate thrives in a fast-paced environment, takes pride in delivering high-quality work, pays close attention to detail and data accuracy, and has a strong focus on process consistency. They are collaborative, approachable, and responsible, with the ability to manage multiple priorities while contributing to overall team effectiveness.  

What You’ll Do

• Own and execute core HR operations processes across the employee lifecycle (onboarding, offboarding, job changes, data management, etc.)
• Maintain accurate and up-to-date employee data across systems, including BambooHR and Paylocity, and own dashboard maintenance
• Ensure HR processes are followed consistently, with a focus on accuracy and reliability 
• Manage HR reporting, identifying and resolving data discrepancies through regular audits while supporting ongoing compliance efforts
• Manage operational aspects of immigration, data reporting, and compliance processes, including coordination with employees, internal stakeholders, and external counsel
• Partner cross-functionally with teams such as Recruiting, Finance, legal, and IT to support day-to-day people operations
• Own and execute people-related projects, ensuring strong execution and timely delivery
• Collaborate with internal systems stakeholders to improve workflows and data quality
• Serve as a reliable and approachable resource for employees and managers, handling HR-related questions with sound judgment and professionalism
• Operate with a high degree of autonomy while keeping stakeholders informed and aligned
• Take ownership of day-to-day operational responsibilities, ensuring consistency, attention to detail, and follow-through
• Contribute to overall team effectiveness by supporting shared priorities and collaborating closely with team members and cross-functionally

What We’re Looking For

•  3+ years of experience in HR Operations, People Ops, or HR Generalist roles. Experience in a small to mid-sized technology company is a plus
• Strong experience with BambooHR and Paylocity (highly preferred)
• Familiarity with tools like Greenhouse, Jira, and Google Workspaces (highly preferred)
• Proven ability to work independently, prioritize effectively, and exercise sound judgment

Location

• United States (remote; Eastern or Central time zones preferred)

PsiQuantum’s mission is to build the first useful quantum computers—machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems. 

Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries. 

Our architecture and approach is based on silicon photonics. By leveraging the advanced semiconductor manufacturing industry—including partners like GlobalFoundries—we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photons don’t feel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure. 

In 2024, PsiQuantum announced government-funded projects to support the build-out of our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives reflect a growing recognition that quantum computing will be strategically and economically defining—and that now is the time to scale. 

PsiQuantum also develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies—including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical—to prepare quantum solutions for real-world impact. 

Quantum computing is not an extension of classical computing. It represents a fundamental shift—and a path to mastering challenges that cannot be solved any other way. The potential is enormous, and we have a clear path to make it real. 

Come join us. 

Job Summary:

The OS Core Team at PsiQuantum works closely alongside engineers and scientists in the electronics, system architecture, and validation teams and is responsible for building the scalable, distributed, fault-tolerant control plane and operating system for utility scale photonic quantum computers. Our team is responsible for orchestration, scheduling, kernel architecture, co-design, calibration, validation, providing abstractions, systems, and operating software for the immense heterogenous fabric of co-processors, networks, and photonics that are critical to the success of our company’s goal of building the world’s first useful quantum computer. As a Senior Software Engineer, Calibration & Control you will design and implement algorithms, controls, and software that keep our quantum processors in spec 24×7x365. 

Responsibilities:

The core of our system revolves around a high performance, scalable graph database which contains critical information to control and manage PsiQuantum computing systems. Your role is to scale and extend the current core database systems to support the massive increase in size complexity of our systems.  

Daily functions: 

Data systems design and implementation. 
Participate in design and code reviews. 
Collaborate across software, hardware, and research teams at PsiQuantum. 
Testing and maintenance of database software. 
Champion and serve as an exemplar of good software development practices at PsiQuantum. 

Experience/Qualifications:

15+ years experience with Python or C++ in a system software context. 
Design and implementation of large scale distributed storage systems, emphasis on graph databases. 
Proven track record of developing and shipping reliable, performant software in a high scale or mission critical context. 
Bachelors degree in a technical discipline preferred, or equivalent experience.   

Ways to stand out: 

Experience in graph database systems such as Nebula, neo4j, Gravlax. 
Experience in high performance computing and data design. 
Experience in computer architecture. 
Experience in high performance networking. 
Experience with highly scalable distributed systems in a reliability and up-time critical environment. 
PhD in a related technical discipline is a plus but not required. 

[We are open to adjusting the compensation to experience level]

Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to recruiting@psiquantum.com.

We are not accepting unsolicited resumes from employment agencies.

What Impact You’ll Have

GRVTY’s team provides tactical data engineering solutions. We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence analyst groups to be their go-to data wranglers. We develop new tools, code, and services to execute data engineering activities. Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to immediate mission needs, with direct impact on real world situations. You will see your work used here on a daily basis, and you'll have the opportunity to support a variety of Sponsor mission organizations and mission partner organizations.
This is a time of development and growth on the program, with an increasing number of missions being supported. The work is high impact and important, and the customer moves quickly. The environment is fast-paced, flexible, and open to innovation - you'll have more latitude here in choosing how to achieve results than on many other projects. The customer cares more about what you can do as opposed to your years of
experience, and work hours are typically quite flexible - roll up your sleeves, get things done, and no one cares much about the specific hours that you work. The work space itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work on this program takes place in McLean, VA and in various field offices throughout Northern VA (we cannot support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer).

What You’ll Be Owning

GRVTY is seeking a Senior Software Developer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Tysons, VA. The developer, with a minimum of 10 years’ experience,  will support the full lifecycle development (analyze, design, develop, deploy, maintain) of innovative and interactive web, video and multimedia training products. The individual will be responsible for product research, programming/authoring, interface design, testing and quality control. Products also include web-based training, SharePoint and websites, multimedia applications, video productions, graphic design, and print products.

The ideal candidate requires demonstrated experience with:

• Linux
• Amazon cloud, AWS and use services, like S3 and EC2
• Apache Webserver and Apache Tomcat
• Development languages: Java, PHP, HTML, CSS, MySQL and Javascript
• VS Code
• ·Configuring, implementing, and maintaining the Enterprise Application Auditing Tool, Enterprise Application MFA Solution (OAuth), and RBAC (Role Based Access Control)
• Bash Scripting
• Developing and supporting automation and orchestration processes for IAM services. Understanding of IAM governance frameworks, platforms, RBAC, group policy management, and privileged access management (PAM) tolls.

What You Must Have

• Active TS/SCI with Polygraph Clearance
• Demonstrated expertise with AWS infrastructure security and access controls
• Demonstrated expertise adapting equipment and technology to serve user needs and technology design.
• Ability to convey technical information to non-technical individuals to teach navigation of Github, Linux-based OS, and AWS and use services, such as S3 and EC2.
• Demonstrated understanding of software development best practices, including version control, testing, and debugging.
• A bachelor’s degree in computer science, Compute Information Systems, or Computer Engineering with ten (10) years of experience executing software development activities.

What Would Be Nice to Have

• Demonstrated migration experience from on-premises services to the AWS platform using migration tools
• Demonstrated experience maintaining JAVA and PHP applications on Windows
• Demonstrated experience with maven or Gradle
• Demonstrated experience with AWS Secrets Manager
• Three years of experience contributing to software development activities and or projects within the IC 

#LI-BPJ

What Impact You’ll Have

GRVTY’s team provides tactical data engineering solutions. We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence analyst groups to be their go-to data wranglers. We develop new tools, code, and services to execute data engineering activities. Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to immediate mission needs, with direct impact on real world situations. You will see your work used here on a daily basis, and you'll have the opportunity to support a variety of Sponsor mission organizations and mission partner organizations. This is a time of development and growth on the program, with an increasing number of missions being supported. The work is high impact and important, and the customer moves quickly. The environment is fast-paced, flexible, and open to innovation - you'll have more latitude here in choosing how to achieve results than on many other projects. The customer cares more about what you can do as opposed to your years of
experience, and work hours are typically quite flexible - roll up your sleeves, get things done, and no one cares much about the specific hours that you work. The work space itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work on this program takes place in McLean, VA and in various field offices throughout Northern VA (we cannot support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer).

What You’ll Be Owning

GRVTY is seeking a Senior Infrastructure Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Chantilly, VA. As a Senior Infrastructure Engineer, you will play a pivotal role in managing and maintaining the critical infrastructure that supports a datacenter environment. Your responsibilities will include overseeing the operation and optimization of servers, networks, and storage systems to ensure seamless performance and reliability. You will be tasked with configuring and managing Cisco switches and firewalls, as well as working with HPE and Dell servers to deliver robust and scalable solutions. Additionally, you will handle advanced storage systems, including Dell, HPE, and PureStorage Network Attached Storage, ensuring data integrity and accessibility. Your expertise will also be required to manage copper and fiber cabling, ensuring efficient connectivity across the infrastructure.

What You Must Have

• Active TS/SCI with Polygraph Clearance
• Experience in a datacenter environment and strong background in data center operations
• Experience in power and cooling capacity management
• Hands-on experience with hardware and network configurations
• Proven track record of managing complex infrastructure environments and a deep understanding of enterprise-grade hardware and networking solutions
• Familiarity with Cisco networking equipment, HPE and Dell hardware, and advanced storage solutions

#LI-BPJ

What Impact You’ll Have

GRVTY’s team provides tactical data engineering solutions. We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence analyst groups to be their go-to data wranglers. We develop new tools, code, and services to execute data engineering activities. Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to immediate mission needs, with direct impact on real world situations. You will see your work used here on a daily basis, and you'll have the opportunity to support a variety of Sponsor mission organizations and mission partner organizations.
This is a time of development and growth on the program, with an increasing number of missions being supported. The work is high impact and important, and the customer moves quickly. The environment is fast-paced, flexible, and open to innovation - you'll have more latitude here in choosing how to achieve results than on many other projects. The customer cares more about what you can do as opposed to your years of
experience, and work hours are typically quite flexible - roll up your sleeves, get things done, and no one cares much about the specific hours that you work. The work space itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work on this program takes place in McLean, VA and in various field offices throughout Northern VA (we cannot support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer).

What You’ll Be Owning

GRVTY is seeking a Palantir Data Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Chantilly, VA. The Palantir Data Engineer leverages advanced Python skills within a small team to develop and implement data transformation pipelines in Palantir's environment.  The Data Engineer will also integrate with external systems via API, parse API responses into usable data objects, design user interfaces, and develop custom functions with TypeScript. Data Engineer will conduct code reviews, solution brainstorming, and define UI designs and functionalities. Successful candidate must be able to perform tier 2 level triage with customers and translate concerns into specific requirements. Ability to effectively triage requirements and articulate impacts on the existing environment is critical to mission success. Data Engineer will also develop new tools, code, and services to execute data engineering activities involving data of varying types and in varying conditions.

Activities include the following tasks: Movement of structure and unstructured data using approved methods. Execute data ingestion activities for storing data in a local or enterprise level location. Develop code to format data that supports exploration. Analyze source data formats and work with Data Scientists and partners to determine the formats and transforms that best meet mission objectives. Develop code and tools to provide one-time and on-going data extraction from various repositories, formatting and transformations into enterprise or standalone data models. Develop new ETL and perform O&M and enhancements on existing ETL code using best practices/standards. Develop and deliver documentation for each project including ETL mappings, code use guide, code location and access instructions.

What You Must Have

• Active TS/SCI with Polygraph Clearance
• Minimum of 3-5 years’ experience with: 
• Python
• Palantir Foundry
• Palantir Pipeline Builder
• Palantir Workshop
• Typescript

#LI-BPJ

What Impact You’ll Have

GRVTY’s team provides tactical data engineering solutions. We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence analyst groups to be their go-to data wranglers. We develop new tools, code, and services to execute data engineering activities. Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to immediate mission needs, with direct impact on real world situations. You will see your work used here on a daily basis, and you'll have the opportunity to support a variety of Sponsor mission organizations and mission partner organizations. This is a time of development and growth on the program, with an increasing number of missions being supported. The work is high impact and important, and the customer moves quickly. The environment is fast-paced, flexible, and open to innovation - you'll have more latitude here in choosing how to achieve results than on many other projects. The customer cares more about what you can do as opposed to your years of experience, and work hours are typically quite flexible - roll up your sleeves, get things done, and no one cares much about the specific hours that you work. The work space itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work on this program takes place in McLean, VA and in various field offices throughout Northern VA (we cannot support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer).

What You’ll Be Owning

GRVTY is seeking a Mid-Level Systems Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Tysons, VA. The Systems Engineer is responsible the applications infrastructure across all networks. Technical support to make application security compliant. Responsible for tech precepts implementation and contractually responsible to be on call 24/7.

What You Must Have

• Active TS/SCI with Polygraph Clearance
• Experience: 2+ years of experience in system engineering, testing, or DevOps roles.
• CI/CD Knowledge: Proven experience configuring CI/CD pipelines and automated testing tools.
• Technical Skills: Strong working knowledge of Linux/Unix, version control (Git), and scripting languages (Python, Bash, or similar).
• Methodology: Familiarity with Agile development practices.
• Education: Bachelor’s degree in STEM field (Science, Technology, Engineering, Math)

What Would Be Nice To Have

• Experience with Infrastructure as Code (IaC) tools like Terraform or Ansible.
• Familiarity with containerization technologies (Docker, Kubernetes).
• Experience with test frameworks 
• Strategic thinking and big-picture perspective.
• Strong time management and organizational skills.
• A passion for IT and continuous learning. 

#LI-BPJ

What Impact You’ll Have:

Our team provides tactical data engineering solutions. We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence analyst groups to be their go-to data wranglers.  We develop new tools, code, and services to execute data engineering activities.  Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to immediate mission needs, with direct impact on real world situations.  You will see your work used here on a daily basis, and you'll have the opportunity to support a variety of Sponsor mission organizations and mission partner organizations.

This is a time of development and growth on the program, with an increasing number of missions being supported.  The work is high impact and important, and the customer moves quickly.  The environment is fast-paced, flexible, and open to innovation - you'll have more latitude here in choosing how to achieve results than on many other projects.  The customer cares more about what you can do as opposed to your years of experience, and work hours are typically quite flexible - roll up your sleeves, get things done, and no one cares much about the specific hours that you work.  The work space itself is also quite nice, and there is an excellent cafeteria!

The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. 

Work on this program takes place in Chantilly, VA, McLean, VA and in various field offices throughout Northern VA (we cannot support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer).

THE ROLE:

GRVTY is seeking a Full Stack Developer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Chantilly, VA. The Full Stack Developer participates in development efforts to deliver a complete software solution. This position is for work across the cloud-based software development lifecycle (front end, back end, database, etc.). Design and implement all levels of the solution: data layer, application code, user interface. Design and deliver APIs and integrations with other software systems and databases. Architect for optimal use of enterprise infrastructure (cloud) and security requirements. Experience in the following: Delivering the design and development of software applications. Programming/coding from the data layer through the application layer, through the user interface. Decomposing functional requirements into technical specifications and tasks. Software development frameworks and languages such as JavaScript, TypeScript, React, Python, etc. and data management tools such as SQL and XML. Developing and maintaining unit test scripts. Developing APIs and web services for integration between systems and data sets.

What You’ll Be Owning:

Work with the Chief Engineer and Technical Leads to translate requirements into user stories to incorporate new functionality into various software applications Develop and/or integrate with Infrastructure as Code DevOps tools to support cloud orchestration of software components Leverage AWS best practices to optimize code for cloud deployment with cost-conscious development and deployment strategies. Experience developing front end user interfaces using modern JavaScript frameworks like React.js, HTML, CSS, etc. Experience developing web APIs to interface with cloud applications and databases as part of cloud native software applications Experience working as part of an agile team to deliver software iteratively

What You Must Have:

• Active TS/SCI with Polygraph Clearance
• Minimum of 5-7 years' experience with:
• Application layer programming languages (e.g., Java, C#, C++)
• Database / Data Layer experience (e.g., SQL, unstructured data, MongoDB, Python, R, Elasticsearch, data management and analytics tools)
• Front end development skills (e.g., modern JavaScript frameworks like React.js, HTML, CSS, bootstrap, etc.)
• Experience developing, deploying, and maintaining systems on cloud platforms (e.g., AWS, Azure)
• Experience in Agile / Scrum

#LI-BPJ

What Impact You’ll Have

GRVTY’s team provides tactical data engineering solutions. We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence analyst groups to be their go-to data wranglers. We develop new tools, code, and services to execute data engineering activities. Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to immediate mission needs, with direct impact on real world situations. You will see your work used here on a daily basis, and you'll have the opportunity to support a variety of Sponsor mission organizations and mission partner organizations.
This is a time of development and growth on the program, with an increasing number of missions being supported. The work is high impact and important, and the customer moves quickly. The environment is fast-paced, flexible, and open to innovation - you'll have more latitude here in choosing how to achieve results than on many other projects. The customer cares more about what you can do as opposed to your years of
experience, and work hours are typically quite flexible - roll up your sleeves, get things done, and no one cares much about the specific hours that you work. The work space itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work on this program takes place in McLean, VA and in various field offices throughout Northern VA (we cannot support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer).

What You’ll Be Owning

GRVTY is seeking a Data & Software Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in McLean, VA.The Data & Software Engineer works with a small team to build complex data flows for a custom application. Successful candidate will have advanced Python programming skills, familiarity with Java, an understanding of data security, privacy, governance and compliance principles and a demonstrated history of building production data pipelines and ETL workflows at scale.

Candidate must have experience:

• Building end-to-end data pipelines leveraging Python
• Using orchestration tools to deploy data pipelines, including configuring and updating Spark Jobs
• Containerizing and deploying applications in cloud environments like AWS.
• Working with MySQL and PostgreSQL including performance tuning, schema design, and query optimization for complex, analytical workloads. 
• Leveraging industry standard tools for code control (Git, IaaC control, etc.)
• Working with data catalogs, tracking data lineage  and handling a variety of data formats, including Geospatial.
• Using Bash scripting for automation and data processing tasks
• Integrating Al/ML services and models

Responsibilities:

• Work with stakeholders to understand data requirements, assess feasibility, and design appropriate solutions with minimal oversight
• Leverage strong problem-solving and debugging skills for data quality issues, pipeline failures, and performance bottlenecks
• Leverage a background in large-scale data migration or platform modernization efforts
• Contribute to data engineering documentation, best practices, and design patterns.

What You Must Have

• Active TS/SCI with Polygraph Clearance
• Minimum of 5 years' experience with: 
• Apache Spark & PySpark
• Advanced Python skills (including Pandas & NumPy)
• Docker, Podman
• AWS S3, Lambda & Step functions
• Apache Iceberg, Airflow, etc.
• SQL (with Trino)
• NoSQL, DynamoDB
• Unity Catalog OSS, Apache Polaris
• Apache Superset
• Terraform or CloudFormation
• OpenLineage
• H3, PostGIS

#LI-BPJ

About Sony Music Entertainment

At Sony Music Entertainment, we fuel the creative journey. We’ve played a pioneering role in music history, from the first-ever music label to the invention of the flat disc record. We’ve nurtured some of music’s most iconic artists and produced some of the most influential recordings of all time.
Today, we work in more than 70 countries, supporting a diverse roster of international superstars, developing and independent artists, and visionary creators. From our position at the intersection of music, entertainment, and technology, we bring imagination and expertise to the newest products and platforms, embrace new business models, employ breakthrough tools, and provide powerful insights that help our artists push creative boundaries and reach new audiences. In everything we do, we’re committed to artistic integrity, transparency, and entrepreneurship.
Sony Music Entertainment is a member of the Sony family of global companies.

Sony Music Product, Design, Engineering and Global Operations (PDEGO) is looking for a Lead Software Engineer to join our Content Product development team.

What you'll do:

• Work with a cross-functional team to build products that empower artists and record labels across the globe
• Contribute to all tiers of our architecture to produce high quality, robust user experiences
• Write clean, tested, maintainable code
• Work closely with product management to understand client requirements
• Design, communicate and execute a vision in collaboration with your team and other teams across the technology organization
• Participate in re-architecture, refinement and technical design of various systems
• Mentor more junior engineers and contribute to a culture of continuous learning

Who you are:

• Seeking 15+ years of software engineering experience in the following areas:
• Experience implementing distributed systems
• Experience in a scripting language (we use Python and JavaScript)
• Experience building frontend applications (we use TypeScript, React, and GraphQL)
• Experience with various database technologies and query languages (we use Neo4j, Kafka,MySQL, Snowflake, Elasticsearch, and more)
• Familiar with low-latency techniques to help improve page load time and reliability
• Experience with microservices, APIs, and related standards such as REST, HTTP, and OAuth
• Comfortable with AWS Cloud technologies
• Experience using log analysis to investigate bugs and performance issues
• Experience writing unit and integration tests
• Experience working in an agile team

The Ideal Candidate 

• Can mobilize teams around a vision and help lead execution of that vision
• Experience with data modeling and schema design of real-world use cases
• Defines best practices and standards within the team and helps build tooling to make those easy to follow
• Proactive problem solving
• Experience optimizing tables, schemas and data structures
• Ability to determine sensible KPIs and optimize against them

What we give you:

• You join an inclusive, collaborative and global community where you have the opportunity to channel your passion every day  
• A modern office environment designed to foster productivity, creativity, and teamwork empowering you to bring your best 
• An attractive and comprehensive benefits package including medical, dental, vision, life & disability coverage, and 401K + employer matching 
• Voluntary benefits like company-paid identity theft protection and resources for pets, mental health and meditation resources, industry-leading fertility coverage, fully paid leave for childbirth or bonding, fully paid leave for caregivers, programs for loved ones with developmental disabilities and neurodiversity, subsidized back-up child and elder care, and reimbursement for adoption, surrogacy, tuition, and student loans 
• Investment in your professional growth and development enabling you to thrive in our vibrant community.  
• The space to accelerate progress, positively disrupt, and create what happens next  
• Time off for a winter recess

Sony Music is committed to providing equal employment opportunity for all persons regardless of age, disability, national origin, race, color, religion, sex, sexual orientation, gender, gender identity or expression, pregnancy, veteran or military status, marital and civil partnership/union status, alienage or citizenship status, creed, genetic information or any other status protected by applicable federal, state, or local law.

NetSage's mission is to help our customers achieve their missions by providing superior cyber services. We seek talented professionals who are interested in doing meaningful, mission-focused work for the U.S. Federal Government. We are a growing Company that puts our employees first and offers excellent pay and world-class benefits. We do not hire contract by contract; instead, we offer multiple job options and career progression for our employees. We realize that our website and job descriptions may be a little vague and that's on purpose because of the customers we support. Please connect with us using our Contact Us page if you have any questions about any of our job-openings.

Job Description:

We are seeking a Principal Full Stack Software Engineer to develop, maintain, and enhance complex and diverse software systems. In this role, you will support complex, multifaceted software systems—such as data-intensive analytics platforms, advanced algorithmic solutions, large-scale data processing environments, real-time applications, and business information systems—based on defined and documented requirements. The ideal candidate for this role will have front-end and back-end web development experience. Please consider applying if you meet the following qualifications.

Required Qualifications:

• TS/SCI with polygraph.
• A Bachelor of Science (B.S.) degree in computer science or a related STEM discipline and twelve (12) years or relevant experience is required. In lieu of a degree, sixteen (16) years of relevant experience is acceptable. 
• Front-end web development language experience in JavaScript, JavaScript XML (JSX) in React, and Typescript
• Back-end development language experience in Node.js/JavaScript, Rust, Python, and shell script.
• Micro-services architecture experience/ familiarity to inlcude:
  
  • Kubernetes
  • Helm Charts
  • Micro-Services deployment patterns
  • Service-mesh
  • Multi-site applications
  • Load Balancing topologies
  • Cloud Migration
• Experience or familiarity with the following tech stack architecture:
  • NiFi, Testing frameworks (JEST), Grafana, InfluxDb, Elasticsearch, Redis, MySQL, Apache, Superset, RabbitMQ/Kafka/Message Fabrics, Ansible/Salt, Terraform, Web-Sockets, and Neo4j
• Experience analyzing user requirements to derive software design and performance requirements.
• Experience designing and coding new software or modifying existing software to add new features. 
• Experience debugging existing software and correcting defects.

About CoreStory

CoreStory unlocks the hidden intelligence in your legacy code. By using AI to surface business logic and technical insights, we give enterprises the clarity to modernize faster, maintain apps smarter, and reduce the risk of costly failures.

We’re looking for an AI Engineer who is passionate about building intelligent systems that blend large language models, retrieval architectures, and conversational agents into cohesive, scalable products. This role is critical to the core AI engine powering the CoreStory Platform.

Role Overview

As an AI Engineer, you’ll play a central role in developing and optimizing the AI components that power CoreStory’s narrative intelligence platform. You’ll work across LLM integration, vector search systems, prompt orchestration, agentic systems, and retrieval-augmented generation (RAG) pipelines.

You’ll collaborate closely with the product, data, and infrastructure teams to prototype, productionize, and continuously evolve our AI stack — ensuring that our systems are accurate, explainable, efficient, and on the cutting edge of modern AI capabilities.

Key Responsibilities

• Design, implement, and optimize LLM-powered systems (e.g., RAG, chat agents, summarizers, knowledge graph integration).
• Build and manage data indexing and retrieval pipelines using LlamaIndex, LangChain, or similar frameworks.
• Implement and maintain vector databases (e.g., Pinecone, Neo4j, Weaviate, Chroma, or Azure Cognitive Search).
• Integrate open-source and proprietary LLMs (e.g., GPT, Claude, Llama) into the CoreStory Platform.
• Develop and refine AI-driven features — including generative insights, automated summarization, and narrative analytics.
• Collaborate with DevOps and backend teams to deploy scalable AI services within CoreStory’s cloud infrastructure.
• Continuously benchmark model performance, latency, and cost, identifying opportunities for optimization.
• Stay current with advancements in AI — from model architectures to emerging frameworks — and propose innovative applications aligned with CoreStory’s mission.
• Contribute to internal documentation, experimentation frameworks, and evaluation methodologies.

Qualifications

Required Skills:

• 7+ years of overall engineering experience with at least 3+ years of experience in AI engineering, machine learning, or applied NLP.
• Strong hands-on experience with LlamaIndex, LangChain, or similar orchestration frameworks.
• Experience designing and implementing vector database solutions (e.g., Pinecone, Neo4j, FAISS, Milvus, Weaviate).
• Solid understanding of LLM APIs (OpenAI, Anthropic, Mistral, Hugging Face, etc.).
• Proficiency in Python, with experience in libraries such as FastAPI, Pandas, or NumPy.
• Understanding of retrieval-augmented generation (RAG) patterns, embeddings, and tokenization.
• Familiarity with prompt engineering, tool calling, and chat agent architectures.
• Strong problem-solving and analytical mindset, with attention to performance and scalability.
• Demonstrated interest in staying up-to-date with the fast-evolving AI landscape.

Preferred:

• Experience deploying AI services in production (e.g., using Docker, Azure, or AWS).
• Exposure to LangGraph, semantic search, or hybrid RAG systems.
• Familiarity with knowledge graphs, document intelligence, or multimodal AI.
• Previous experience in SaaS or early-stage startup environments.

What We Offer

• Competitive compensation and equity.
• Flexible, remote-first work environment.
• Opportunities to define and build the AI roadmap of a fast-growing technology company.
• Collaborative, learning-oriented culture.
• Access to cutting-edge AI models, research, and infrastructure.

Senior Product Marketing Manager 

Job Overview

Neo4j is the leader in graph technology, revolutionizing the way organizations leverage connected data. We are seeking a strategic and audience-focused Product Marketing Manager to join our team. This role is pivotal in shaping the messaging for our AI offerings and strategy, combining product expertise, audience marketing, and sales enablement to influence decision-makers, gain developer mindshare, and accelerate growth. The ideal candidate is a storyteller with product depth who can craft compelling messaging, engage with sellers, and deliver content that resonates with key personas.

Key Responsibilities

• Subject Matter Expertise: Serve as the go-to product marketing expert for our AI offerings and strategy within the organization. 
• Messaging and Strategy: Maintain deep knowledge of the Neo4j AI product portfolio and roadmap to ensure messaging is credible, differentiated, and aligned with decision-makers' and developers' needs. Conduct win-loss analysis and customer/market research to inform messaging and positioning. Monitor competitor narratives and industry trends to continuously sharpen the Neo4j AI messaging and positioning.
• Content Development: Translate technical concepts (GenAI, vector search, GraphRAG, context graphs) into strategic stories and content that resonate with decision-making personas. Create compelling narratives and content to position Neo4j as a key component of the AI data layer and to drive mindshare among AI developers.
• Audience Marketing & Sales Plays:Support marketing campaigns that guide decision-makers and developers through the buyer journey, from awareness to adoption. Partner with sales leaders and account teams to build and execute repeatable plays to engage AI buyers.
• Sales Enablement: Build and deliver sales enablement content designed for decision-maker and developer conversations — including pitch decks, playbooks, talk tracks, and objection-handling guides. Enable the global sales team with training and resources to confidently message and position Neo4j as the data layer for AI.
• Media Relations: Collaborate with the AR/PR team to maintain a positive image in the press and secure favorable analyst reviews.
• Product Enhancement: Identify opportunities for product improvement through feedback from customers, field teams, partners, and industry interactions. Collaborate closely with product management and engineering to drive these enhancements.

Requirements/Qualifications:

• Bachelor’s degree in Marketing, Business, Engineering, or related field; MBA preferred. 5+ years in product marketing, business consulting, or go-to-market strategy within the technology/software industry. 
• Strong knowledge of enterprise technology, developer products/data platforms, or AI/analytics products, with the ability to connect technical capabilities to business value outcomes.
• Technical acumen and demonstrated ability to understand complex products and functionality
• Demonstrated ability to think analytically and creatively to drive revenue and increase technology adoption.
• Possess solid strategic thinking skills and a knack for devising effective project management and execution plans.
• Proficiency in creating compelling marketing content and delivering it effectively to target audiences.
• Proven ability to collaborate effectively across different groups within the organization, providing leadership and guidance.
• Excellent communication and presentation skills are a must

Join our team and be at the forefront of driving the adoption of Graph Technology in the marketplace. Your expertise and leadership will be key in shaping the future of our innovative solutions. If you're ready for a dynamic role that challenges you to excel, we want to hear from you. Apply today and be part of our exciting journey!

B-2026Q1-AMER15

About the role 

As an Engineering Manager at LogicGate, you'll lead a high-performing team building our Risk Cloud SaaS application that helps organizations manage governance, risk, and compliance at scale. You're responsible for developing exceptional engineers and delivering product outcomes that directly impact our customers' ability to manage risk.

You'll set technical direction for your team and own how the work gets done. You're accountable for technical execution, team velocity, timelines, and quality. This means driving sustainable delivery of roadmap initiatives while championing modern development practices—test-driven development, frequent releases, continuous improvement. You'll work closely with Product, QA, Customer Success, and fellow engineering leaders to shape technical strategy and execute on ambitious goals.

You'll grow your engineers' capabilities, remove obstacles that slow them down, and create an environment where they can do their best work while consistently delivering value to customers and the business.

How you'll spend your time:  

• Lead / Manage, grow, and develop 4-6 engineers through regular 1:1s, coaching, and career development while removing obstacles that slow them down. 
• Execute / Set technical direction and own how the work gets done—you're accountable for technical execution, team velocity, timelines, and quality. 
• Collaborate / Work closely with Product, QA, Customer Success, and Sales Engineering on prioritization and execution of roadmap items using Agile methodologies. 
• Improve / Assess current engineering practices and drive continuous improvement initiatives that increase developer efficiency and team performance. 
• Partner / Work with senior leadership and other engineering managers to build a collaborative culture and align engineering efforts with company goals. 
• Manage / Oversee vendor relationships, evaluate build-vs-buy decisions, and manage cross-functional dependencies that impact your team's delivery

What we use:

• Front-end: TypeScript, Angular, Webpack, Sass
• Back-end: Spring Boot, Java, Kotlin, Go
• Data: Neo4j, Redis, RabbitMQ, PostgreSQL
• Test: JUnit, Jasmine, Spectator, Cypress
• Infrastructure: AWS, Terraform, Kubernetes, Docker, Ansible
• Work: GitLab, Slack, Jira, Confluence, G Suite

What you’ll bring:

• 5+ years of professional experience in software engineering as a Developer, System Administrator, or Database Administrator (we value outcomes and leadership ability over exact years). 
• Experience managing 5+ direct reports, or Team Lead/Developer Lead experience with strong people leadership
• Understanding of modern software frameworks, system architecture, and best practices for building scalable SaaS applications. 
• Strong competency in Agile processes, product roadmaps, prioritization, and estimation—you know how to balance velocity with quality. 
• Knowledge of security practices, compliance frameworks, and OWASP principles. 
• Desire to grow as both a technical leader and people manager in an engineering atmosphere that moves quickly and strives to raise the bar. 
• Ability to work across business units—you've collaborated with Product, Sales, Customer Success, or Support teams to deliver outcomes.

How you’ll Raise the Bar:

• Champion modern development practices like test-driven development, frequent releases, and continuous improvement. Ensure your team ships with both velocity and quality. 
• Build a culture where engineers are challenged, supported, and able to do their best work. Grow their capabilities and create clear paths for development. 
• Drive developer efficiency initiatives that eliminate obstacles and reduce toil. Enable your team to focus on delivering outcomes that matter to customers. 
• Partner with engineering leadership to improve our programs, processes, and technical strategy. Assess what's working, recommend changes, and execute on ambitious goals.

The anticipated base salary range for the role is $165,000 - $200,000 per year + variable + equity + benefits. Actual salaries may vary and will be based on factors, such as the candidate's qualifications, skills, competencies, and proficiency for the role. Internal candidates who have current pay within or above the hiring range are still encouraged to apply if interested.

 Hybrid Workplace

Our hybrid workplace allows for flexibility aligned to role responsibilities and exceptional customer delivery. Location requirements for this role can be found above. 

Total Rewards 

We are proud to offer a variety of competitive, inclusive, and comprehensive total rewards that are designed to support the unique needs of our employees both inside and outside of the workplace.

In addition to offering competitive salary and variable compensation plans, equity options, and flexible health and wellness benefits, we are proud to offer generous PTO, Annual Company Holidays, Health Days, and Summer Fridays.

Employees' growth and development are supported throughout their career journey through informal and formal programs and activities, including access to LinkedIn Learning, regular People Leader training, and our internal Mentorship Program. 

Our Culture

At LogicGate, our culture and employee experience are grounded in our core values of Be as One, Do the Right Thing, Embrace Curiosity, Own It, Empower Customers, and Raise the Bar, which guide how we show up - for each other, our customers, and all we interact with.

We believe that the strongest teams are made up of individuals who bring their different identities, experiences, and perspectives to the table. We are committed to fostering an inclusive work environment where all employees’ differences are celebrated and everyone is encouraged to bring their authentic selves to work.

We encourage everyone to join one of our Employee Resource Groups (AAPI @ LogicGate, Pride at LogicGate, and Women in LogicGate) to participate in and contribute to conversations that foster an inclusive culture.

LogicGate also believes strongly in giving back to the communities in which we live and work. To enable our teams to give back, we offer paid volunteer hours and company-wide charitable activities supporting a variety of organizations and causes.

We are proud to have been recognized as a top workplace by Built In, Crain’s Chicago Business, the Chicago Tribune, and more. Visit our website to learn about our latest recognition.

Learn more about our culture here. 

Excited about LogicGate but not familiar with GRC? 

• GRC stands for Governance, Risk, and Compliance
• GRC professionals help their companies manage uncertainty, act with integrity, and stay on the right side of the law. 
• The GRC market is rapidly expanding with continuous growth opportunities. The current market size was valued at $50.5 billion in 2024 and is projected to reach $104.5 billion by 2031.

Senior Software Engineer: Platform

About the role 

We are seeking someone to lead, architect, and develop features for our Risk Cloud platform. This role requires a deep understanding of business and engineering goals, and the ability to work collaboratively with team members to achieve them.

The ideal candidate will inspire and exemplify cross-functional collaboration, working closely with product managers, designers, engineers, and QA professionals. They will advocate for and implement modern best practices in engineering, including a testing-first mindset, frequent releases, and iterative development with small feedback loops. They will balance hands-on development with architectural leadership to ensure scalable, maintainable solutions while fostering cross-functional collaboration. Additionally, strong communication skills and the ability to produce clear documentation for features and processes are essential for this position.

How you'll spend your time:

• Develop / Utilize Spring Boot, Java, and other leading Back-End tools to build a market leading product.
• Quality / Write tests and review code to facilitate an efficient dev cycle and prevent the occurrence of bugs.
• Collaborate / Work closely with cross-functional team members using Agile methodologies to iterate on feature work.
• Optimize / Help improve our front-end application for speed, reliability, and scalability.

What we use:

• Front-end: TypeScript, Angular, Webpack, Sass
• Back-end: Spring Boot, Java, Kotlin, Go
• Data: Neo4j, Redis, RabbitMQ, PostgreSQL
• Test: JUnit, Karma, Jasmine, Spectator, Cypress
• Infrastructure: AWS, Terraform, Kubernetes, Docker, Ansible
• Work: GitLab, Slack, Jira, Confluence, G Suite

What you’ll bring:

• Significant (6+ years) professional experience in software engineering or a Bachelor's in Computer Science or a related field (we value outcomes over a number of years).
• Desire to grow as a leader, architect, and coder within an engineering atmosphere that moves quickly and strives to raise the bar.
• Understanding of best practices and competency in one or more modern languages (it doesn't have to be a language that is part of our stack).
• Strong expertise developing web applications with modern Back-End frameworks.
• Desire for an autonomous environment that enables you to do your best work.

How you’ll Raise the Bar:

• The tools, languages, and frameworks powering our platform align with your work history.

• While a Back-End expert, you thrive working across the full software stack.
• You’ve worked to bolster or optimize a CI/CD system.
• You have familiarity with infrastructure-as-code tools and its best practices.

The anticipated base salary range for the role is $125,000 - $165,000 per year + variable + equity + benefits. Actual salaries may vary and will be based on factors, such as the candidate's qualifications, skills, competencies, and proficiency for the role. Internal candidates who have current pay within or above the hiring range are still encouraged to apply if interested.

LogicGate’s Hybrid Workplace

Our hybrid workplace allows for flexibility aligned to role responsibilities and exceptional customer delivery. Location requirements for this role can be found above. 

Total Rewards 

We are proud to offer a variety of competitive, inclusive, and comprehensive total rewards that are designed to support the unique needs of our employees both inside and outside of the workplace.

In addition to offering competitive salary and variable compensation plans, equity options, and flexible health and wellness benefits, we are proud to offer generous PTO, Annual Company Holidays, Health Days, and Summer Fridays.

Employees' growth and development are supported throughout their career journey through informal and formal programs and activities, including access to LinkedIn Learning, regular People Leader training, and our internal Mentorship Program. 

Our Culture

At LogicGate, our culture and employee experience are grounded in our core values of Be as One, Do the Right Thing, Embrace Curiosity, Own It, Empower Customers, and Raise the Bar, which guide how we show up - for each other, our customers, and all we interact with.

We believe that the strongest teams are made up of individuals who bring their different identities, experiences, and perspectives to the table. We are committed to fostering an inclusive work environment where all employees’ differences are celebrated and everyone is encouraged to bring their authentic selves to work.

We encourage everyone to join one of our Employee Resource Groups (AAPI @ LogicGate, Pride at LogicGate, and Women in LogicGate) to participate in and contribute to conversations that foster an inclusive culture.

LogicGate also believes strongly in giving back to the communities in which we live and work. To enable our teams to give back, we offer paid volunteer hours and company-wide charitable activities supporting a variety of organizations and causes.

We are proud to have been recognized as a top workplace by Built In, Crain’s Chicago Business, the Chicago Tribune, and more. Visit our website to learn about our latest recognition.

Learn more about our culture here. 

Excited about LogicGate but not familiar with GRC? 

• GRC stands for Governance, Risk, and Compliance
• GRC professionals help their companies manage uncertainty, act with integrity, and stay on the right side of the law. 
• The GRC market is rapidly expanding with continuous growth opportunities. The current market size was valued at $50.5 billion in 2024 and is projected to reach $104.5 billion by 2031.