Recorded Future is seeking an experienced Senior Engineering Manager to lead a diverse team of engineers building one of the world’s most comprehensive global internet scanning platforms. As a Senior Engineering Manager, you will oversee multiple established teams and functions, including:

• Scan Engine Development – Our proprietary network scanning engine that operates on a global scale to collect intelligence insights from everything on the internet, supported by a cross-functional team of software engineers and operations specialists
• Vulnerability and Signature Research – Our team of vulnerability researchers working in coordination with internal intelligence functions to develop unique detections and signatures that power the scan engine
• Scan Operations and Site Reliability – Our team responsible for the operational health, scale, and reliability of the platform, ensuring intelligence is generated and delivered continuously to support teams and clients across the organization

What You'll Do:

• Team Leadership: Lead and mentor a multi-disciplinary team of vulnerability researchers, scan operations engineers, and software engineers across multiple geographies, fostering a collaborative, high-performing, and inclusive environment. Provide technical leadership by guiding development efforts, setting direction, and coaching engineers to grow their careers while maintaining a high engineering bar.
• Cross-Team Coordination: Partner closely with engineering leadership, product managers, and stakeholders across the broader organization — including teams from recently integrated business units — to align on scope, timelines, and solution designs that serve the full breadth of Recorded Future’s needs. Effectively communicate and advocate technical solutions to product, engineering, and business audiences.
• Engineering Excellence: Drive the continuous improvement of engineering practices, processes, and tools to increase efficiency and product quality. Ensure teams design, develop, and deploy features with a focus on high availability, quality, low latency, and scalability.
• Project Management: Oversee the planning, execution, and delivery of product features and updates, ensuring alignment with company goals and timelines.
• Agile Practices: Implement and maintain agile methodologies for project tracking and documentation.
• AI-First Development: Champion an AI-first engineering culture across your teams, encouraging the adoption of AI tools, workflows, and practices in day-to-day development. You should be comfortable guiding your team in its application and aligned with Recorded Future’s broader commitment to AI-driven engineering.

What You'll Bring:

• At least 10 years of experience in software engineering, ideally in an Enterprise SaaS product.
• At least 4 years in a management or leadership role, ideally overseeing multiple functions with remote teams in different timezones.
• Meaningful hands-on software engineering experience, ideally including familiarity with languages such as Python, Go, or C. You don’t need to be actively coding day-to-day, but you should be able to engage credibly with engineers on technical decisions and hold the team to a high engineering bar.
• Background in or strong familiarity with low-level, network-heavy applications with a focus on high-volume traffic, availability, and global scale is highly desirable, despite this role being primarily managerial.
• Familiarity with key technologies such as message busses/queues (Kafka, Rabbit, etc.), containerization (Docker, Kubernetes, etc.)
• Extensive familiarity with the TCP/IP protocol stack, including application of concepts from DNS, WHOIS, and other artifacts needed for technical reconnaissance and discovery
• Comfort with AI development concepts and a genuine enthusiasm for guiding teams to incorporate AI into their workflows and understanding its practical applications in software development
• Experience in technical leadership such as leading project teams' development efforts and setting technical direction
• A passion for coaching others to grow their technology career and sharing good practices with more junior engineers
• Excellent verbal and written communication skills
• Bachelor’s and/or Master’s degree in Computer Science, Computer Engineering, or equivalent education/work experience

Preferred Qualifications:

• Any familiarity with cybersecurity principles and the unique challenges of developing cybersecurity products
• Any familiarity with things like port scanning, vulnerability scanning, or signature development
• Any familiarity with enterprise security products related to Recorded Future’s offerings

The base salary range for this full-time position is $199,000-$278,000. Our salary ranges are determined by role, level, and location. The salary displayed reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by state, work location and additional factors, including job-related skills, experience, and relevant education or training. This position may be eligible for incentive compensation, equity, and medical, dental, vision, life insurance and 401K. Your recruiter can share more about the specific details of the compensation and benefit package during the hiring process.

#LI-Remote

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PagerDuty is seeking a Full-Stack Software Engineer to join our diverse and customer-focused team! 

In this role, you’ll be working on our scheduling platform which is a core piece of our business to help organizations distribute on-call responsibilities across their teams. This is an exciting opportunity as you’ll help us realize the long term vision for the product to build flexible and extensible scheduling capabilities powered by AI-native foundations. You’ll architect and build a suite of highly available services, scalable databases and reliable data streams while pioneering agentic development practices that leverage AI as a first-class engineering partner.  You will also have plenty of opportunities to partner with the product and design teams on shaping new products and features for our customers.  The ideal candidate will have full stack experience with Java, and React and be responsible for promoting engineering excellence principles with our design, dev, test and release cycles.

Why we need you

The Mobilization Team is looking for a passionate software engineer to help us build the future of Schedules for the Operations Cloud. As an engineer on the team, you’ll be working on our scheduling platform which is a core piece of our business to help organizations distribute on-call responsibilities across their teams.  You’ll help us realize the long term vision for the product to build innovative, flexible and extensible scheduling capabilities by architecting and building AI-native foundations (a suite of highly available services, scalable databases and reliable data streams accessed via an agentic framework).  You will also have plenty of opportunities to partner with the product and design teams on shaping new products and features for our customers. You’ll also be responsible for promoting engineering excellence principles with our AI-first design, dev, test and release cycles.

Key Responsibilities

• From day one, you’ll be designing, coding, testing and shipping backend applications or micro-services, APIs or front-end interfaces that ensure we deliver secure, highly reliable and scalable solutions to our customers.
• Since we own and operate what we build, you’ll collaborate closely with engineers across teams.
• With 20,000+ global customers and growing, you’ll be solving really interesting technical challenges while helping to scale our product to keep up with demand.
• Participating in your team’s on-call rotation, triaging and addressing production issues as they arise.

Basic  Qualifications 

• Minimum of 4 years of experience designing, building, and operating large systems with scalability, availability, and performance requirements.
• Development experience working on customer-facing and web-based systems.
• Demonstrated experience with Java/ Python, React, AI coding tools
• You have built or worked on a customer-facing product

Preferred Qualifications

• You have operational experience in a cloud technologies such as AWS
• You have operational experience with databases & tools (e.g. MySQL, Aurora, Kafka, NoSQL, applying software engineering principles to data problems, etc.)
• Experience building user-facing public APIs
• You’ve had experience designing & implementing distributed and highly available systems

The base salary range for this position is 113,000 - 190,300 USD. This role may also be eligible for bonus, commission, equity, and/or benefits.

Our base salary ranges are determined by role, level, and location. The range, which is subject to change based on primary work location, reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range, we determine pay for an individual based on a number of factors including market location, job-related knowledge, skills/competencies and experience.

Your recruiter can share more about the specific offerings for this role, as well as the salary range for your primary work location during the hiring process.

**This role is expected to come into our Atlanta office 2 days a week, so you can thrive in your new role and fully embrace being a Dutonian!**

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. 

MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and partners to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned software architects and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our field partner leaders and play a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations.

As an ideal candidate, you will have:

• 8+ years of pre-sales experience with enterprise software and technical aptitude
• Working knowledge and ability to code with one  or more modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) 
• Experience with scalable and highly available distributed systems 
• 2+ years of software development experience
• Excellent presentation and communication skills 
• The ability to travel up to 50%
• A Bachelor’s degree or equivalent work experience
• Professional proficiency in speaking and writing Portuguese and English 
• Professional proficiency in speaking and writing Spanish is highly preferred

As an ideal candidate, you may also have:

• Experience selling databases and/or deploying applications with any of the major cloud providers 
• Experience with database programming and data modelling
• Knowledge of modern technologies - their function and integration requirements - e.g. Spark, cloud storage/streaming, API mgmt, Kafka, serverless.
• A cloud provider certification
• A MongoDB Certification 

What you do at MongoDB:

• You work with our advisory consulting partners on reference architectures, patterns, and AI blueprints for making the best use of MongoDB 
• You confidently articulate the business value of MongoDB solutions and bridge this to technical value
• You partner with our account teams to help ensure success in accounts ranging from small startups to large enterprises 
• You align to support sales with activities such as technical discovery, demos, proof of value, presentation, sizing, and documentation of technical decision criteria; working across a number of opportunities in parallel
• You translate technical concepts and patterns into business benefits for management and executives 
• You act as a liaison, gathering feedback from the field to relay back to the Product Management team
• You will have the opportunity to help drive demand through participation in both industry-known trade-shows as well account-based marketing events
• You demonstrate resilience and sound judgment in dealing with business challenges
• You have an ability to drive customer demand within a sales territory, by being self-motivated, proactive and understanding the importance of a strong sense of urgency
• You proactively seek opportunities to support and mentor other pre-sales team members and share best practices
• You have situational awareness and react appropriately in group settings

Particularly with Partners:

• You successfully build and maintain effective relationships with technical partners, gaining their trust, influencing their decisions, and reinforcing their understanding of how MongoDB adds value to the broader ecosystem and needs of clients
• You understand the importance of a strong sense of urgency reflected through ability to drive partner demand within the sales territory
• You align to drive partner Center of Excellence strategies and create demand for MongoDB solutions
• You have a strong understanding of partner business model, value, and needs
• You demonstrate the ability to anticipate and respond appropriately to partner objections
• You are seen as a “Trusted Advisor” with technical partner stakeholders
• You team up to build joint proposals with partners for the client
• You drive strategy and implementation of solution architecture for products and services within the partner ecosystem of the region
• You can demonstrate technical expertise of general IT and application operations through mentorship of local partner organizations
• You create strategies that map specific industry trends to account base within local partner organizations
• You create strategies that map competitive threats within local partner organizations

What you will learn:

• The rapidly expanding MongoDB product suite, including:
• Core database server
• Atlas (fully managed cloud database service)
• Atlas Data Lake
• Atlas Full-Text Search
• Realm
• Charts
• Other Tools and connectors - Ops/Cloud Manager, Compass, Connector for BI, Connector for Spark
• Market-relevant, complementary technologies e.g. Apache Kafka, Kubernetes
• Modern and popular architecture design patterns, methodologies and concerns e.g. microservices, event-driven architectures, DevOps, cloud, security
• Sales techniques and related soft skills - presentations, demonstrations, whiteboarding, discovery, objection handling
• Exposure to a wide variety of market verticals and broad spectrum of interesting use cases

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

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

REQ ID: 1273379214

As a Staff Machine Learning Engineer, you will lead the technical charge to scale and productionize our core machine learning capabilities. Your work will directly impact key metrics like Time-to-Bet, Deposit Velocity, and Platform Integrity by integrating robust, low-latency ML models across our sports betting and daily fantasy ecosystems.

What you’ll do:

• Architect Scalable ML Systems: Design and build the end-to-end machine learning infrastructure, transitioning experimental Data Science models into robust, high-availability production services.
• Real-Time Inference at Scale: Steer the design and deployment of low-latency services to serve model inferences in milliseconds. You will power real-time decisions across the platform, from dynamic oddsmaking and risk analysis to smart deposit defaults.
• Feature Engineering & Data Strategy: Partner with Data Science to build scalable logging and data pipelines. You will lead the creation and optimization of a centralized feature store required to train complex models across diverse business domains.
• End-to-End MLOps Leadership: Champion best practices for model deployment, monitoring, and CI/CD for ML. You will implement automated retraining pipelines and observability tools to ensure data drift and model degradation are caught and addressed instantly.

What you have:

• 7+ years of experience in Machine Learning Engineering or Backend Engineering, with a proven track record of deploying and maintaining complex ML models in high-traffic production environments.
• 3+ years of technical leadership, acting as a lead and driving architecture decisions for consumer applications or scalable backend platforms.
• Experience with Real-Time Data: Proficient in streaming architectures (Kafka/Flink/PubSub) and building low-latency services to serve model inference in <100ms.
• MLOps Expertise: Deep experience managing the full ML lifecycle (training, deploying, monitoring) using tools like MLFlow, Kubeflow, Databricks, or SageMaker.
• Strong Coding Skills: Expert in Python and SQL; proficiency in Go, C++, or Rust is a strong plus for building high-performance inference layers.
• Cloud Native: Deep experience with GCP services (BigQuery, Cloud Functions, GKE, Vertex AI) or AWS equivalents.

What makes you stand out:

• Experience implementing reinforcement learning or complex probabilistic models for dynamic pricing, risk management, or fraud detection.
• Background in Daily Fantasy Sports (DFS), oddsmaking, or high-frequency trading.
• Experience building and scaling "Feature Stores" that successfully bridge batch historical data with real-time event streams.

Where you’ll live:

• While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote 

Working at PrizePicks:

The typical salary range for this position is $220,000 to $280,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process. 

This application period will remain open for 30 days. We’re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting.

Date Posted: 4/16/2026

As a Senior ML Platform Engineer, you will contribute to building the ML platform at Prizepicks to scale and productionize our core machine learning capabilities. Your work will directly impact key metrics like Time-to-Bet, Deposit Velocity, and Platform Integrity by integrating robust, low-latency ML models across our sports betting and daily fantasy ecosystems.

What you’ll do:

• Build Scalable ML Systems: Design and build the end-to-end machine learning infrastructure, setup platform for transitioning experimental Data Science models into robust, high-availability production services.
• Real-Time Inference at Scale: Build automation for deploying low-latency services to serve model inferences in milliseconds. You will power real-time decisions across the platform, from dynamic oddsmaking and risk analysis to smart deposit defaults.
• Feature Engineering & Data Strategy: You will lead the creation and optimization of a centralized feature store required to train complex models across diverse business domains.
• End-to-End MLOps: You will work with the Infrastructure team to build and operate core ML platform components for training and experimentation enablement considering developer experience. You will champion best practices for model deployment, monitoring, and CI/CD for ML. You will implement automated retraining pipelines and observability for ML systems to ensure data drift and model degradation are caught and addressed instantly.

What you have:

• 5+ years of experience in Platform Engineering, with a proven track record of deploying and maintaining a scalable ML platform in high-traffic production environments. 
• 2+ years of experience owning ML systems end-to-end in production, including on-call and incident response.
• Experience with Real-Time Data, proficient in streaming architectures (Kafka/Flink/PubSub) and building low-latency services to serve model inference in <100ms.
• MLOps Expertise, deep experience building a platform for managing the full ML lifecycle (training, deploying, monitoring) using tools like SageMaker, VertexAI, Vector DBs, Graph Databases. Managing and scaling caches like Redis or Elasticsearch.  
• Proficient with Containerization, Docker, Kubernetes, and cluster-level management.
• Expert in Python, proficiency in Go. C++, or Rust is a strong plus for building high-performance inference layers.

What makes you stand out:

• Experience implementing infrastructure while enforcing best practices for the deployment of ML Platform. 
• Background in Daily Fantasy Sports (DFS), oddsmaking, or high-frequency trading.
• Experience building and scaling "Feature Stores" that successfully bridge batch historical data with real-time event streams.
• Enabling self-service for ML and Data Science teams for model development and deployment.
• Enabling AI agents and AI coding for faster and iterative software development.

Where you’ll live:

• While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote 

Working at PrizePicks:

The typical salary range for this position is $160,000 to $210,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process. 

This application period will remain open for 30 days. We’re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting.

Date Posted:  4/27/2026

As a Data Platform Engineer, you will contribute to building the modern Data platform at Prizepicks to scale and productionize our core data engineering, data analytics and machine learning capabilities. Your work will directly impact key metrics like Time-to-Bet, Deposit Velocity, and Platform Integrity by integrating robust, low-latency ML models across our sports betting and daily fantasy ecosystems.

What you’ll do:

• Build Scalable Data Platform: Design and build the Data platform for Batch and Streaming use cases. You will build and maintain a platform with cutting-edge technologies and enable data users by building data catalog and data lineage capabilities. You will be contributing to design and enforce robust data security architectures and controls. 
• Real-Time data platform at Scale: Build platform for deploying low-latency services to pipe data for streaming or near real time use cases. You will power real-time decisions across the platform, from dynamic oddsmaking and risk analysis to smart deposit defaults.
• Data Platform Ops: You will champion best practices for model deployment, monitoring, and CI/CD for Data pipeline deployment. You will enable complete observability for batch and streaming data platform and ensure the availability of 99.99%

What you have:

• 3+ years of experience in Platform Engineering, with a proven track record of deploying and maintaining scalable Data platforms in high-traffic production environments. 
• Proficient in streaming architectures (Kafka/Flink/PubSub) and building low-latency services to serve stream ingestion and processing, which will serve model inference in <100ms.
• Proficient with Containerization, Docker, Kubernetes and cluster-level management.
• Deep experience building a platform for managing the full Data lifecycle, including setting up a data exploration environment.  
• Expert in coding with Python and Go. Deep experience with Cloud services, preferred with GCP services (BigQuery, Cloud Functions, GKE) or AWS equivalents.
• Excellent communication skills, stakeholder management and outstanding problem-solving skills.
• Extensive experience in Big data technologies like Spark, Flink, Kafka or Kinesis, Argo/Airflow, Polaris, OpenMetadata, Iceberg, Lakehouse, Redis, Elasticsearch, and Databases. Experience with building REST APIs, package management and have built libraries.
• Should have been a key contributor to projects through the entire development lifecycle from concept to release.

What makes you stand out:

• Experience implementing infrastructure while enforcing best practices for deployment of a large scale data platform. 
• Background in Daily Fantasy Sports (DFS), oddsmaking, or high-frequency trading.
• Experience building and scaling data platforms that successfully bridge batch historical data with real-time event streams.
• Enabling self-service for Data teams for pipeline development and deployment.
• Enabling AI agents for repetitive tasks and AI coding for faster and iterative software development.

Where you’ll live:

• While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote 

Working at PrizePicks:

The typical salary range for this position is $100,000 to $150,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process. 

This application period will remain open for 30 days. We’re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting.

Date Posted:  4/23/2026

AXS connects fans with the artists and teams they love. Each year we sell millions of tickets to thousands of incredible events – from concerts and festivals to sports and theater – at some of the most iconic venues in the world. Since our founding in 2011, we’ve consistently pushed the industry forward and improved experiences for fans, making it easier than ever to discover events, find the perfect seats, and enjoy unforgettable live entertainment, and we continue to lead the evolution of our industry today.

We’re passionate about improving the fan experience and providing game-changing solutions for our clients, and we’re always looking for smart, motivated people to help make it happen. Bring your enthusiasm, your big ideas, and your desire to team up with some of the best and brightest in technology and entertainment.  

The Role

• Design and build new features and enhancements for our global ticketing platforms.
• Optimize for performance in scaling out our applications to handle massive spikes in traffic
• Create services that power the core of our infrastructure, implementing APIs and features for our mission critical back-end products.
• Optimize throughput and dynamically scale our distributed systems to handle traffic and requests in varying from the tens to hundreds of thousands.
• Design and develop scalable, public-facing APIs that enable scalable and robust integration with partner platforms.
• Work closely with other engineers, architects, business analysts, and product managers to create innovative solutions that continue to push the boundaries of our business.
• Participate in design and code reviews to ensure best practices and high-quality code.
• Develop consistent, well tested code on Open Source Programming Languages and Frameworks.
• Work on implementing and developing the latest security measures to fight against fraud and malicious bot attacks

• Have a direct impact on our applications that can scale and handle high demand, as well as complex enterprise systems that meet our global needs.
• Extraordinary People – we’re not kidding!
• Meaningful Mission - Helping revolutionize an industry and deliver better experiences for fans and clients around the world.
• Opportunities for learning and leveling up through training and education reimbursement.

More about AXS

THE POSITION
Our roster has an opening with your name on it

At FanDuel, data is the heartbeat of our organization.  As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data. You will be asked to provide our business with insight and our customers with world-class personalized experiences.  Every click our users make, every bet, every touchdown, every fumble, and every play is fair game for us to turn into a stream of knowledge. Your expertise will be used here to make better and faster decisions – outpacing our competition.

Collaboration is at the core of your role. You’ll be the linchpin between engineering teams working downstream to build out our online application and upstream to land necessary data for feature engineering. You’ll also be working with Data Scientists and Analysts to productionize, analyze, and validate AI powered insights. You will be asked to help organize, model, and present our data as a coherent product and offer it to our stakeholders, providing a common information framework that allows FanDuel to intelligently react to what is happening on the field and in the marketplace.   

We are looking for Senior Machine Learning Engineer who may be looking to make the move to a big data environment.  If this describes you, read on – we want to hear from you!

THE GAME PLAN
Everyone on our team has a part to play

• Designing and implementing intelligent search system incorporating typeahead search, vector search and ML personalization model signals to optimize relevance and user experience
• Contributing to the design and development of scalable serving systems for ML and GenAI/LLM models
• Developing platform features and capabilities (e.g. CLI, SDK, Infra Automation, Platform Applications) for streamlining ML Model and GenAI/LLM Application development and deployment lifecycle
• Business intelligence tools (e.g., Tableau, Knime, Looker)
• Data security and privacy (e.g. GDPR, CPP)
• Data governance and data testing frameworks
• Continuous integration and delivery of production data products
• An inclusive culture that expects excellence and priorities your growth as an engineer and your well-being as a person
• Advance your career within well-defined, skill-based tracks, either as an individual contributor or as a manager – both providing equal opportunities for compensation and advancement
• Collaborating with peers and sharing best practices in system reliability, automation, and data quality

ML engineering is a rapidly changing field – most of all, we’re looking for someone who enjoys experimenting, keeping their finger on the pulse of current data engineering tools, and always thinking about how to do something better.

THE STATS
What we're looking for in our next teammate

• 5-7+ years of relevant experience developing code in one or more core programming languages (Python, Java, etc.)
• 1+ Years of Experience implementing vector search, semantic search, or embedding-based retrieval systems for production ML or AI applications
• 1+ Years of Experience working with typeahead / autocomplete systems and integrating ML signals into query understanding or ranking workflows
• 1+ Years of Experience combining outputs from multiple retrieval systems (e.g., vector search + typeahead + personalization models) to improve relevance
• 1+ Years of experience in deploying ML and GenAI/LLM models under the constraints of scalability, correctness, and maintainability.
• Hands on experience with ML frameworks and libraries (Scikit-learn, Pytorch, Tensorflow, LightGBM, Keras, MLFlow etc.) and familiarity with LLM-specific frameworks (e.g., LangChain, Hugging Face Transformers, etc).
• Hands on experience with one or more ML and GenAI/LLM cloud services (Amazon SageMaker, Amazon Bedrock, Databricks Mosaic AI, Seldon, Arize, etc)
• 4+ Years of experience designing and building various software architecture, with some emphasis on scalable architectures supporting both traditional ML and advanced LLM workflows.
• Deep understanding and knowledge of data structures, distributed computing, and software engineering principles
• 3+ Years of experience demonstrating technical leadership working with teams, owning projects, defining, and setting technical direction for projects.
• Experience with one or more relevant tools (Flink, Spark, Sqoop, Flume, Kafka, Amazon Kinesis, Terraform, Airflow)
• Ability to share findings in easy to consume formats, whether that is through dashboards or data modeling.
• Conduct regular design process reviews and ensure development standards within the team.
• Working with leadership to drive adoption of ML and GenAI/LLM solutions to product engineering teams.
• Experience working in a cloud environment such as AWS, GCP, Azure.
• Experience with Databricks is a plus, their unity catalog, another plus.
• Designing and building data pipelines for production level ML and GenAI/LLM infrastructure.
• Experience with vector databases to efficiently manage and retrieve embeddings for LLM applications, enabling high-performance similarity search and retrieval-augmented generation (RAG) workflows is a plus
• Motivate junior engineers on best practices and latest industry design patterns.

ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.  

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.

FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

PLAYER BENEFITS
We treat our team right

We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.

FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.

The applicable salary range for this position is $138,000 - $173,000 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.

FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

THE POSITION
Our roster has an opening with your name on it

At FanDuel, data is the heartbeat of our organization.  As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data. You will be asked to provide our business with insight and our customers with world-class personalized experiences.  Every click our users make, every bet, every touchdown, every fumble, and every play is fair game for us to turn into a stream of knowledge. Your expertise will be used here to make better and faster decisions – outpacing our competition.

Collaboration is at the core of your role. You’ll be the linchpin between engineering teams working downstream to build out our online application and upstream to land necessary data for feature engineering. You’ll also be working with Data Scientists and Analysts to productionize, analyze, and validate AI powered insights. You will be asked to help organize, model, and present our data as a coherent product and offer it to our stakeholders, providing a common information framework that allows FanDuel to intelligently react to what is happening on the field and in the marketplace.   

We are looking for Senior Machine Learning Engineer who may be looking to make the move to a big data environment.  If this describes you, read on – we want to hear from you!

THE GAME PLAN
Everyone on our team has a part to play

• Designing and implementing intelligent search system incorporating typeahead search, vector search and ML personalization model signals to optimize relevance and user experience
• Contributing to the design and development of scalable serving systems for ML and GenAI/LLM models
• Developing platform features and capabilities (e.g. CLI, SDK, Infra Automation, Platform Applications) for streamlining ML Model and GenAI/LLM Application development and deployment lifecycle
• Business intelligence tools (e.g., Tableau, Knime, Looker)
• Data security and privacy (e.g. GDPR, CPP)
• Data governance and data testing frameworks
• Continuous integration and delivery of production data products
• An inclusive culture that expects excellence and priorities your growth as an engineer and your well-being as a person
• Advance your career within well-defined, skill-based tracks, either as an individual contributor or as a manager – both providing equal opportunities for compensation and advancement
• Collaborating with peers and sharing best practices in system reliability, automation, and data quality

ML engineering is a rapidly changing field – most of all, we’re looking for someone who enjoys experimenting, keeping their finger on the pulse of current data engineering tools, and always thinking about how to do something better.

THE STATS
What we're looking for in our next teammate

• 5-7+ years of relevant experience developing code in one or more core programming languages (Python, Java, etc.)
• 1+ Years of Experience implementing vector search, semantic search, or embedding-based retrieval systems for production ML or AI applications
• 1+ Years of Experience working with typeahead / autocomplete systems and integrating ML signals into query understanding or ranking workflows
• 1+ Years of Experience combining outputs from multiple retrieval systems (e.g., vector search + typeahead + personalization models) to improve relevance
• 1+ Years of experience in deploying ML and GenAI/LLM models under the constraints of scalability, correctness, and maintainability.
• Hands on experience with ML frameworks and libraries (Scikit-learn, Pytorch, Tensorflow, LightGBM, Keras, MLFlow etc.) and familiarity with LLM-specific frameworks (e.g., LangChain, Hugging Face Transformers, etc).
• Hands on experience with one or more ML and GenAI/LLM cloud services (Amazon SageMaker, Amazon Bedrock, Databricks Mosaic AI, Seldon, Arize, etc)
• 4+ Years of experience designing and building various software architecture, with some emphasis on scalable architectures supporting both traditional ML and advanced LLM workflows.
• Deep understanding and knowledge of data structures, distributed computing, and software engineering principles
• 3+ Years of experience demonstrating technical leadership working with teams, owning projects, defining, and setting technical direction for projects.
• Experience with one or more relevant tools (Flink, Spark, Sqoop, Flume, Kafka, Amazon Kinesis, Terraform, Airflow)
• Ability to share findings in easy to consume formats, whether that is through dashboards or data modeling.
• Conduct regular design process reviews and ensure development standards within the team.
• Working with leadership to drive adoption of ML and GenAI/LLM solutions to product engineering teams.
• Experience working in a cloud environment such as AWS, GCP, Azure.
• Experience with Databricks is a plus, their unity catalog, another plus.
• Designing and building data pipelines for production level ML and GenAI/LLM infrastructure.
• Experience with vector databases to efficiently manage and retrieve embeddings for LLM applications, enabling high-performance similarity search and retrieval-augmented generation (RAG) workflows is a plus
• Motivate junior engineers on best practices and latest industry design patterns.

ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.  

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.

FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

PLAYER BENEFITS
We treat our team right

We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.

FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.

The applicable salary range for this position is $138,000 - $173,000 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.

FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

THE POSITION
Our roster has an opening with your name on it

As a Senior Software Engineer within one of FanDuel’s Risk Management Automation teams, you will be an essential part of a cross functional agile team that directly impacts our business. You will work collaboratively with a team to implement creative, high-quality solutions, scope effort and timelines, and balance priorities of our stakeholders and engineering needs. Your team will work closely together to deliver exceptionally high-quality software, while taking pride and ownership in testing, deploying, monitoring, and maintaining that software. Our engineers own every part of the software delivery lifecycle. 

You will work directly with risk managers at FanDuel to improve the major automated risk management platforms. You will be a domain expert on automated risk implementation and how that fits into the larger Risk and Trading landscape. You will go beyond the software developer role and will be called upon to identify opportunities yourself in the risk automation space to innovate through technology. In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

THE GAME PLAN
Everyone on our team has a part to play

You are a significant and autonomous contributor. Your work is consistently of high quality. You solve difficult problems, applying appropriate technologies and best practices. You work with your team to invent, design and build software that is stable and performant. You are proficient in a broad range of design approaches and know when it is appropriate to use them and when it is not. Your solutions are pragmatic. You consider the legacy of the code you produce and write code that an SDE unfamiliar with the system can understand. You limit the use of short-term workarounds. You do things with the proper level of complexity the first time (or at least minimize incidental complexity). You create flexible software without over-engineering. You make appropriate trade-offs, re-use where possible, and are judicious about introducing dependencies. You are efficient with resource usage (e.g., system hardware, database, memory/CPU, etc.).

We are looking for engineers to actively engage in technical discussions, assist in designing and implementing solutions, pair program with our more junior engineers, and deliver constant improvements to our systems. We want you to be excited about constantly learning and driving your professional development. You should have most, or all, of the following skills: 

• You have deep experience with C Sharp and backend systems.
• You have experience working directly with stakeholders/end users.
• You write simple and extendable code following standards and best practices.
• You test your code thoroughly
• You help balance customer requirements with the team requirements
• You help your team evolve by actively participating in the code review process, design discussions, team planning, and ticket/metric/COE reviews
• You classify, store, and handle data in accordance with FanDuel policies
• You track security risks and mitigate and/or escalate them in a timely manner
• You focus on operational excellence, constructively identifying problems and proposing solutions
• You take on projects and make software enhancements that improve the team software and processes
• You work to resolve the root cause of complex problems, leaving software better and easier to maintain than when you found it
• You can train new team-mates on how your team's software is constructed, how it operates, how secure it is, and how it fits into the bigger picture
• You foster a constructive dialogue and seek resolutions in a professional way
• You help recruit and interview for your team
• You estimate stories/tasks accurately and deliver them in time
• You mentor and help to develop others
• On-call rotation where required. You provide excellent customer support
• You keep yourself up to date with market standards, open-source frameworks
• Most importantly, you are humble, pragmatic, self-managed, thirsty for knowledge, never satisfied and always challenging the norm. Responsible for the state of the code you both inherit and produce
• Creative problem-solving ability 
• A passion for learning and always getting better

THE STATS
What we're looking for in our next teammate

• Degree in Computer Science, Data Science, Engineering.
• 5 or more years of industry experience in a Software Engineering field, Machine Learning, Data Science, Finance Engineering
• Proficient in building services with modern OOP languages, C# is essential.
• A fundamental understanding of data structures and algorithms.
• Proficient in working with GitOps Patterns
• Experience working with CI/CD pipeline tooling (BuildKite and GitHub Actions knowledge is beneficial).
• Experience working with cloud-based infrastructure and technologies.
• Knowledge of AWS with API gateway/workflow orchestration/lambda/serverless applications.
• Knowledge of infrastructure as code is nice to have, notably Terraform and Helm.
• Experience interacting and designing relational databases.
• Experience with streaming technologies (Kafka is nice to have).
• Ability to document code, research, and designs clearly (Jira and Confluence experience nice to have).
• Proficiency in translating requirements into design and developing applications.
• Understanding of containers (e.g. Docker), and orchestration (Kubernetes).
• Demonstrated abilities driving operational excellence and on call support.
• Experience with unit testing, testing tools, integrating testing and best-quality practices into an SDLC.
• Experience working in an Agile environment.
  
  
  

ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.  

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.

FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

PLAYER BENEFITS
We treat our team right

We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.

FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.

The applicable salary range for this position is $149,000 - $195,300 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.

FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

#LI-Hybrid

THE POSITION
Our roster has an opening with your name on it

As a Senior Software Engineer within one of FanDuel’s Risk Management Automation teams, you will be an essential part of a cross functional agile team that directly impacts our business. You will work collaboratively with a team to implement creative, high-quality solutions, scope effort and timelines, and balance priorities of our stakeholders and engineering needs. Your team will work closely together to deliver exceptionally high-quality software, while taking pride and ownership in testing, deploying, monitoring, and maintaining that software. Our engineers own every part of the software delivery lifecycle. 

You will work directly with risk managers at FanDuel to improve the major automated risk management platforms. You will be a domain expert on automated risk implementation and how that fits into the larger Risk and Trading landscape. You will go beyond the software developer role and will be called upon to identify opportunities yourself in the risk automation space to innovate through technology. In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

THE GAME PLAN
Everyone on our team has a part to play

You are a significant and autonomous contributor. Your work is consistently of high quality. You solve difficult problems, applying appropriate technologies and best practices. You work with your team to invent, design and build software that is stable and performant. You are proficient in a broad range of design approaches and know when it is appropriate to use them and when it is not. Your solutions are pragmatic. You consider the legacy of the code you produce and write code that an SDE unfamiliar with the system can understand. You limit the use of short-term workarounds. You do things with the proper level of complexity the first time (or at least minimize incidental complexity). You create flexible software without over-engineering. You make appropriate trade-offs, re-use where possible, and are judicious about introducing dependencies. You are efficient with resource usage (e.g., system hardware, database, memory/CPU, etc.).

We are looking for engineers to actively engage in technical discussions, assist in designing and implementing solutions, pair program with our more junior engineers, and deliver constant improvements to our systems. We want you to be excited about constantly learning and driving your professional development. You should have most, or all, of the following skills: 

• You have deep experience with C Sharp and backend systems.
• You have experience working directly with stakeholders/end users.
• You write simple and extendable code following standards and best practices.
• You test your code thoroughly
• You help balance customer requirements with the team requirements
• You help your team evolve by actively participating in the code review process, design discussions, team planning, and ticket/metric/COE reviews
• You classify, store, and handle data in accordance with FanDuel policies
• You track security risks and mitigate and/or escalate them in a timely manner
• You focus on operational excellence, constructively identifying problems and proposing solutions
• You take on projects and make software enhancements that improve the team software and processes
• You work to resolve the root cause of complex problems, leaving software better and easier to maintain than when you found it
• You can train new team-mates on how your team's software is constructed, how it operates, how secure it is, and how it fits into the bigger picture
• You foster a constructive dialogue and seek resolutions in a professional way
• You help recruit and interview for your team
• You estimate stories/tasks accurately and deliver them in time
• You mentor and help to develop others
• On-call rotation where required. You provide excellent customer support
• You keep yourself up to date with market standards, open-source frameworks
• Most importantly, you are humble, pragmatic, self-managed, thirsty for knowledge, never satisfied and always challenging the norm. Responsible for the state of the code you both inherit and produce
• Creative problem-solving ability 
• A passion for learning and always getting better

THE STATS
What we're looking for in our next teammate

• Degree in Computer Science, Data Science, Engineering.
• 5 or more years of industry experience in a Software Engineering field, Machine Learning, Data Science, Finance Engineering
• Proficient in building services with modern OOP languages, C# is essential.
• A fundamental understanding of data structures and algorithms.
• Proficient in working with GitOps Patterns
• Experience working with CI/CD pipeline tooling (BuildKite and GitHub Actions knowledge is beneficial).
• Experience working with cloud-based infrastructure and technologies.
• Knowledge of AWS with API gateway/workflow orchestration/lambda/serverless applications.
• Knowledge of infrastructure as code is nice to have, notably Terraform and Helm.
• Experience interacting and designing relational databases.
• Experience with streaming technologies (Kafka is nice to have).
• Ability to document code, research, and designs clearly (Jira and Confluence experience nice to have).
• Proficiency in translating requirements into design and developing applications.
• Understanding of containers (e.g. Docker), and orchestration (Kubernetes).
• Demonstrated abilities driving operational excellence and on call support.
• Experience with unit testing, testing tools, integrating testing and best-quality practices into an SDLC.
• Experience working in an Agile environment.
  
  
  

ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.  

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.

FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

PLAYER BENEFITS
We treat our team right

We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.

FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.

The applicable salary range for this position is $149,000 - $195,300 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.

FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

#LI-Hybrid

THE POSITION
Our roster has an opening with your name on it

As a Senior Software Engineer within one of FanDuel’s Risk Management Automation teams, you will be an essential part of a cross functional agile team that directly impacts our business. You will work collaboratively with a team to implement creative, high-quality solutions, scope effort and timelines, and balance priorities of our stakeholders and engineering needs. Your team will work closely together to deliver exceptionally high-quality software, while taking pride and ownership in testing, deploying, monitoring, and maintaining that software. Our engineers own every part of the software delivery lifecycle. 

You will work directly with risk managers at FanDuel to improve the major automated risk management platforms. You will be a domain expert on automated risk implementation and how that fits into the larger Risk and Trading landscape. You will go beyond the software developer role and will be called upon to identify opportunities yourself in the risk automation space to innovate through technology. In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

THE GAME PLAN
Everyone on our team has a part to play

You are a significant and autonomous contributor. Your work is consistently of high quality. You solve difficult problems, applying appropriate technologies and best practices. You work with your team to invent, design and build software that is stable and performant. You are proficient in a broad range of design approaches and know when it is appropriate to use them and when it is not. Your solutions are pragmatic. You consider the legacy of the code you produce and write code that an SDE unfamiliar with the system can understand. You limit the use of short-term workarounds. You do things with the proper level of complexity the first time (or at least minimize incidental complexity). You create flexible software without over-engineering. You make appropriate trade-offs, re-use where possible, and are judicious about introducing dependencies. You are efficient with resource usage (e.g., system hardware, database, memory/CPU, etc.).

We are looking for engineers to actively engage in technical discussions, assist in designing and implementing solutions, pair program with our more junior engineers, and deliver constant improvements to our systems. We want you to be excited about constantly learning and driving your professional development. You should have most, or all, of the following skills: 

• You have deep experience with C Sharp and backend systems.
• You have experience working directly with stakeholders/end users.
• You write simple and extendable code following standards and best practices.
• You test your code thoroughly
• You help balance customer requirements with the team requirements
• You help your team evolve by actively participating in the code review process, design discussions, team planning, and ticket/metric/COE reviews
• You classify, store, and handle data in accordance with FanDuel policies
• You track security risks and mitigate and/or escalate them in a timely manner
• You focus on operational excellence, constructively identifying problems and proposing solutions
• You take on projects and make software enhancements that improve the team software and processes
• You work to resolve the root cause of complex problems, leaving software better and easier to maintain than when you found it
• You can train new team-mates on how your team's software is constructed, how it operates, how secure it is, and how it fits into the bigger picture
• You foster a constructive dialogue and seek resolutions in a professional way
• You help recruit and interview for your team
• You estimate stories/tasks accurately and deliver them in time
• You mentor and help to develop others
• On-call rotation where required. You provide excellent customer support
• You keep yourself up to date with market standards, open-source frameworks
• Most importantly, you are humble, pragmatic, self-managed, thirsty for knowledge, never satisfied and always challenging the norm. Responsible for the state of the code you both inherit and produce
• Creative problem-solving ability 
• A passion for learning and always getting better

THE STATS
What we're looking for in our next teammate

• Degree in Computer Science, Data Science, Engineering.
• 5 or more years of industry experience in a Software Engineering field, Machine Learning, Data Science, Finance Engineering
• Proficient in building services with modern OOP languages, C# is essential.
• A fundamental understanding of data structures and algorithms.
• Proficient in working with GitOps Patterns
• Experience working with CI/CD pipeline tooling (BuildKite and GitHub Actions knowledge is beneficial).
• Experience working with cloud-based infrastructure and technologies.
• Knowledge of AWS with API gateway/workflow orchestration/lambda/serverless applications.
• Knowledge of infrastructure as code is nice to have, notably Terraform and Helm.
• Experience interacting and designing relational databases.
• Experience with streaming technologies (Kafka is nice to have).
• Ability to document code, research, and designs clearly (Jira and Confluence experience nice to have).
• Proficiency in translating requirements into design and developing applications.
• Understanding of containers (e.g. Docker), and orchestration (Kubernetes).
• Demonstrated abilities driving operational excellence and on call support.
• Experience with unit testing, testing tools, integrating testing and best-quality practices into an SDLC.
• Experience working in an Agile environment.
  
  
  

ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.  

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.

FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

PLAYER BENEFITS
We treat our team right

We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.

FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.

The applicable salary range for this position is $149,000 - $195,300 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.

FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

#LI-Hybrid

THE POSITION
Our roster has an opening with your name on it

At FanDuel, data is the heartbeat of our organization. As a Staff Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data. You will own critical production ML systems across real-time personalization, delivering billions of recommendations per day, and search, powering high-scale, low-latency discovery experiences for customers across our sportsbook and gaming products. You will tackle complex, still-evolving challenges in ranking, relevance, retrieval, and online decisioning to provide our business with insight and our customers with world-class personalized experiences. Every click our users make, every bet, every touchdown, every fumble, and every play is fair game for us to turn into a stream of knowledge. Your expertise will be used here to make better and faster decisions – outpacing our competition.

Collaboration is at the core of your role. You’ll be the linchpin between engineering teams working downstream to build out our online application and upstream to land necessary data for feature engineering. You’ll also be working with Data Scientists and Analysts to productionize, analyze, and validate AI powered insights. You will be asked to help organize, model, and present our data as a coherent product and offer it to our stakeholders, providing a common information framework that allows FanDuel to intelligently react to what is happening on the field and in the marketplace.

We are looking for Staff Machine Learning Engineer who may be looking to make the move to a big data environment. If this describes you, read on – we want to hear from you!

In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

THE GAME PLAN
Everyone on our team has a part to play

• Designing and implementing intelligent search systems incorporating typeahead search, vector search and ML personalization signals to optimize relevance and user experience, with end-to-end ownership from ideation to production
• Building and scaling multi-layer serving architectures for ML and GenAI/LLM models, making key architectural decisions in ambiguous problem spaces
• Driving the design and evolution of platform capabilities (e.g. CLI, SDK, Infra Automation, Platform Applications) to streamline ML and GenAI/LLM application development and deployment lifecycle across teams
• Contributing to technical strategy and influencing adoption of ML and GenAI/LLM platform solutions across partner engineering teams
• Applying best practices in data security, privacy (e.g. GDPR, CCPA), governance, and data testing frameworks to ensure reliable and compliant data products
• Owning the continuous integration and delivery of production-grade data and ML systems with a focus on scalability, reliability, and cost-efficiency
• An inclusive culture that expects excellence and prioritizes your growth as an engineer and your well-being as a person
• Advance your career within well-defined, skill-based tracks, either as an individual contributor or as a manager – both providing equal opportunities for compensation and advancement
• Operate as part of an autonomous team with end-to-end ownership of key components of our data and ML platform architecture
• Set engineering standards and mentor junior engineers, elevating team practices in system design, reliability, automation, data quality, and operational excellence
  
  

THE STATS
What we're looking for in our next teammate

Required Qualifications

• 7+ years of relevant experience developing code in one or more core programming languages (Python, Java, etc.)
• 4+ years of experience designing and building scalable software architectures, including systems supporting ML, Search or LLM workloads
• 2+ years of experience implementing vector search, semantic search, or embedding-based retrieval systems (RAG workflows) for production ML or AI applications with vector store such as AWS OpenSearch, Elasticsearch, etc
• 2+ years of experience building platform components and frameworks improving ML/AI development and deployment efficiency
• 1+ years of experience driving technical direction, making architectural trade-offs, and influencing engineering decisions across teams
• 1+ years of experience collaborating cross-functionally, working with leadership and influencing and driving partner teams to adopt platform capabilities and best practices
• 1+ years of experience conducting design reviews and setting engineering standards within a team
• Experience with data and streaming technologies (e.g., Spark, Flink, Kafka, Airflow, Terraform)
• Experience working in cloud environments such as AWS, GCP, or Azure
• Experience designing and building data pipelines for production ML and GenAI/LLM systems
• Strong understanding of data structures, distributed systems, and software engineering principles
• Demonstrated ability to independently own and deliver complex technical projects end-to-end in ambiguous environments
• Ability to communicate technical concepts and insights effectively through dashboards, data models, or design artifacts
• Track record of mentoring engineers and elevating team-wide engineering practices and technical quality

Preferred Qualifications

• 1+ years of experience working with typeahead / autocomplete systems and integrating ML signals into query understanding or ranking workflows
• 1+ years of experience combining outputs from multiple retrieval systems (e.g., vector search + typeahead + personalization models) to improve relevance
• 1+ years of experience deploying ML and GenAI/LLM models under constraints of scalability, correctness, and maintainability in production environments
  • Hands-on experience with ML frameworks (Scikit-learn, PyTorch, TensorFlow, etc.) and familiarity with LLM frameworks
  • Hands-on experience with ML and GenAI/LLM platforms (e.g., SageMaker, Bedrock, Databricks, etc.)
    
    

ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.  

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.

FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

PLAYER BENEFITS
We treat our team right

We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.

FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.

The applicable salary range for this position is $159,000 - $208,950 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.

FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

#LI-Hybrid

THE POSITION
Our roster has an opening with your name on it

At FanDuel, data is the heartbeat of our organization. As a Staff Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data. You will own critical production ML systems across real-time personalization, delivering billions of recommendations per day, and search, powering high-scale, low-latency discovery experiences for customers across our sportsbook and gaming products. You will tackle complex, still-evolving challenges in ranking, relevance, retrieval, and online decisioning to provide our business with insight and our customers with world-class personalized experiences. Every click our users make, every bet, every touchdown, every fumble, and every play is fair game for us to turn into a stream of knowledge. Your expertise will be used here to make better and faster decisions – outpacing our competition.

Collaboration is at the core of your role. You’ll be the linchpin between engineering teams working downstream to build out our online application and upstream to land necessary data for feature engineering. You’ll also be working with Data Scientists and Analysts to productionize, analyze, and validate AI powered insights. You will be asked to help organize, model, and present our data as a coherent product and offer it to our stakeholders, providing a common information framework that allows FanDuel to intelligently react to what is happening on the field and in the marketplace.

We are looking for Staff Machine Learning Engineer who may be looking to make the move to a big data environment. If this describes you, read on – we want to hear from you!

In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

THE GAME PLAN
Everyone on our team has a part to play

• Designing and implementing intelligent search systems incorporating typeahead search, vector search and ML personalization signals to optimize relevance and user experience, with end-to-end ownership from ideation to production
• Building and scaling multi-layer serving architectures for ML and GenAI/LLM models, making key architectural decisions in ambiguous problem spaces
• Driving the design and evolution of platform capabilities (e.g. CLI, SDK, Infra Automation, Platform Applications) to streamline ML and GenAI/LLM application development and deployment lifecycle across teams
• Contributing to technical strategy and influencing adoption of ML and GenAI/LLM platform solutions across partner engineering teams
• Applying best practices in data security, privacy (e.g. GDPR, CCPA), governance, and data testing frameworks to ensure reliable and compliant data products
• Owning the continuous integration and delivery of production-grade data and ML systems with a focus on scalability, reliability, and cost-efficiency
• An inclusive culture that expects excellence and prioritizes your growth as an engineer and your well-being as a person
• Advance your career within well-defined, skill-based tracks, either as an individual contributor or as a manager – both providing equal opportunities for compensation and advancement
• Operate as part of an autonomous team with end-to-end ownership of key components of our data and ML platform architecture
• Set engineering standards and mentor junior engineers, elevating team practices in system design, reliability, automation, data quality, and operational excellence
  
  

THE STATS
What we're looking for in our next teammate

Required Qualifications

• 7+ years of relevant experience developing code in one or more core programming languages (Python, Java, etc.)
• 4+ years of experience designing and building scalable software architectures, including systems supporting ML, Search or LLM workloads
• 2+ years of experience implementing vector search, semantic search, or embedding-based retrieval systems (RAG workflows) for production ML or AI applications with vector store such as AWS OpenSearch, Elasticsearch, etc
• 2+ years of experience building platform components and frameworks improving ML/AI development and deployment efficiency
• 1+ years of experience driving technical direction, making architectural trade-offs, and influencing engineering decisions across teams
• 1+ years of experience collaborating cross-functionally, working with leadership and influencing and driving partner teams to adopt platform capabilities and best practices
• 1+ years of experience conducting design reviews and setting engineering standards within a team
• Experience with data and streaming technologies (e.g., Spark, Flink, Kafka, Airflow, Terraform)
• Experience working in cloud environments such as AWS, GCP, or Azure
• Experience designing and building data pipelines for production ML and GenAI/LLM systems
• Strong understanding of data structures, distributed systems, and software engineering principles
• Demonstrated ability to independently own and deliver complex technical projects end-to-end in ambiguous environments
• Ability to communicate technical concepts and insights effectively through dashboards, data models, or design artifacts
• Track record of mentoring engineers and elevating team-wide engineering practices and technical quality

Preferred Qualifications

• 1+ years of experience working with typeahead / autocomplete systems and integrating ML signals into query understanding or ranking workflows
• 1+ years of experience combining outputs from multiple retrieval systems (e.g., vector search + typeahead + personalization models) to improve relevance
• 1+ years of experience deploying ML and GenAI/LLM models under constraints of scalability, correctness, and maintainability in production environments
  • Hands-on experience with ML frameworks (Scikit-learn, PyTorch, TensorFlow, etc.) and familiarity with LLM frameworks
  • Hands-on experience with ML and GenAI/LLM platforms (e.g., SageMaker, Bedrock, Databricks, etc.)
    
    

ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.  

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.

FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

PLAYER BENEFITS
We treat our team right

We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.

FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.

The applicable salary range for this position is $159,000 - $208,950 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.

FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

#LI-Hybrid

THE POSITION
Our roster has an opening with your name on it

We are looking for a Data Engineer to join our growing data engineering team and help build the pipelines and infrastructure that power analytics, machine learning, and business decision-making across the company. In this role, you’ll own the design, development, and maintenance of reliable data systems while collaborating with stakeholders to support high-impact data use cases.

The ideal candidate is a strong technical contributor who enjoys working with data at scale, solving practical problems, independently executing on projects, and continuously learning in a fast-paced environment.

If you’re excited by this challenge and want to work within a dynamic company, then we’d love to hear from you.

In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

THE GAME PLAN
Everyone on our team has a part to play

Build & Maintain Data Pipelines

• Design, build, and maintain scalable batch and streaming data pipelines to support analytics and business operations.
• Write clean, efficient, and well-documented code using tools like Python, SQL, and Spark.
• Ensure data is reliable, accurate, and delivered in a timely manner.
• Lead projects to build or improve well-scoped data products.

Collaborate Across Teams

• Work with data analysts, data scientists, and product managers to understand and clarify ambiguous requirements to deliver actionable data solutions.
• Translate business questions into engineering tasks and contribute to technical planning.
• Participate in code reviews, sprint planning, and retrospectives as part of an agile team.
• Contribute to team wide best practices.

Data Quality & Operations

• Monitor data pipelines and troubleshoot issues in a timely, systematic manner.
• Driving reliability and continuous improvement of data platforms and pipelines.
• Implement data quality checks and contribute to observability and testing practices.
• Document data sources, transformations, and architecture decisions to support long-term maintainability.

THE STATS
What we're looking for in our next teammate

• 3+ years of experience in data engineering, analytics engineering, or software engineering with a focus on data.
• Strong SQL skills and familiarity with at least one programming language (e.g., Python, Java, or Scala).
• Hands-on experience with modern data tools such as Databricks, Airflow, dbt, Spark, or Kafka.
• Understanding of data modeling concepts, data warehousing, and ETL/ELT best practices.
• Experience working with cloud-based data platforms (AWS, GCP, or Azure).

Preferred Qualifications

• Experience supporting BI, analytics, or data science teams.
• Familiarity with version control, CI/CD, and collaborative development workflows.
• Exposure to data governance, privacy, or compliance practices.
• Eagerness to learn new technologies and contribute to the growth of the team.
  
  
  

ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.  

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.

FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

PLAYER BENEFITS
We treat our team right

We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.

FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.

The applicable salary range for this position is $116,000 - $152,250 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.

FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

#LI-Hybrid

Method is a global design and engineering consultancy founded in 1999. We believe that innovation should be meaningful, beautiful and human. We craft practical, powerful digital experiences that improve lives and transform businesses. Our teams based in New York, Charlotte, Atlanta, London, Bengaluru, and remote work with a wide range of organizations in many industries, including Healthcare, Financial Services, Retail, Automotive, Aviation, and Professional Services.

Method is part of GlobalLogic, a digital product engineering company. GlobalLogic integrates experience design and complex engineering to help our clients imagine what’s possible and accelerate their transition into tomorrow’s digital businesses. GlobalLogic is a Hitachi Group Company.

We are seeking an experienced Principal Data Architect to join our Data & AI team. In this leadership role, you will help shape modern data and AI architecture strategies that enable organizations to achieve business outcomes through scalable, reliable, and secure data platforms. You will work closely with senior stakeholders, client teams, and engineering teams to define architectural direction, guide implementation approaches, and support the delivery of data-driven capabilities across analytics, AI, and operational use cases. You will exemplify Method culture and values by driving standards of excellence and mentoring and educating those who are accountable to you on projects or within the data engineering discipline. You will be reporting into the head of the Data & AI team. 

This role requires a strong blend of technical depth, architectural thinking, client engagement and team mentorship. You will be expected to navigate ambiguity, align business and technology priorities, and help teams deliver practical, high-quality solutions that support long-term value creation. In addition to shaping solution direction, you will play an important role in guiding and developing data engineering teams through coaching, knowledge sharing, and hands-on support.

Travel for team, client and sales meetings is required, typically up to 25%. This is a US-based position in the East Coast or Mid-Central time zone.

Job Responsibilities

• Lead complex data and AI platform initiatives, addressing architectural concerns while enabling delivery teams to meet defined standards, timelines, and budgets.
• Provide client-facing technical leadership on data architecture, data engineering, analytics platforms, and AI/ML infrastructure.
• Collaborate with enterprise architects and senior technology stakeholders to align on architectural decisions, trade-offs, and implementation approaches.
• Communicate architectural concepts clearly to both engineering teams and business stakeholders.
• Design architectures that bridge operational systems and analytical platforms, enabling data products, advanced analytics, and AI capabilities.
• Define and implement architectures for data governance, security, privacy, and regulatory compliance.
• Establish and integrate data quality frameworks, observability practices, and data reliability processes.
• Partner with sales and pre-sales teams to shape solution approaches, validate technical feasibility, and support proposals.
• Develop new value propositions and offerings for the data engineering at Method, create go to market strategies, test and refine the offerings during the sales pursuits.
• Grow and maintain the data engineering team. Provide career guidance and facilitate career development opportunities across Method. 
• Create an environment that brings together the best of various data disciplines with care for the uniqueness of each project. 
• Foster a culture of curiosity and learning, creating opportunities for employees to learn and grow into our future leaders.

Skills Required
Technical Skills

• 8+  years of experience in data engineering, with 3+ years in a technical leadership role. 
• Experience designing and implementing modern data architectures, including lakehouse, data mesh, and real-time data platforms, and evaluating technology trade-offs.
• Strong background in distributed systems and data-intensive applications.
• Experience building and operating large-scale data platforms, including data warehouses, streaming systems, and data lakes.
• Expertise in data modeling, data platform operations, observability, and reliability engineering for data systems.
• Proficiency with modern data and distributed technologies such as Spark, Kafka, Flink, Trino/Presto, Iceberg/Delta/Hudi, and distributed storage systems.
• Experience designing streaming and low-latency architectures and understanding their operational trade-offs.
• Experience designing and deploying AI/ML platforms, including feature stores, model training pipelines, and model serving systems.
• Familiarity with MLOps and ML productionization practices, including CI/CD, model monitoring, and governance.
• Strong experience working with cloud platforms (AWS, Azure, or GCP) and cloud-native data services.
• Experience with modern data platforms such as Snowflake, Databricks, or similar analytics environments.
• Understanding of data governance frameworks, data cataloging, lineage, and privacy controls.
• Experience implementing data-driven decision systems, advanced analytics, and machine learning solutions in enterprise environments.

Professional Skills

• Advise C-suite executives on data strategy, AI investment, and digital transformation at the highest organizational level.
• Strong experience supporting pre-sales, solution shaping, and technical discovery engagements.
• Support client partners in growing key accounts by identifying new opportunities, navigating complex situations, and educating clients on the value of our work beyond data and AI.
• Excellent stakeholder management skills and the ability to build trust with both business and technical leaders.
• Ability to cultivate strong partnerships across organizations to drive adoption of modern data and AI capabilities.
• Strong influencing skills, with the ability to galvanize, inspire, and align others around a shared direction.
• Contribute Thought Leadership through presentations, blogs, or public talks
• Strong conflict resolution and risk management skills.
• Team player with the capacity to mentor, guide, and champion engineering teams and architects.
• Commitment to technical excellence, pragmatic delivery, and continuous improvement. 

Why Method?

We look for individuals who are smart, kind and brave. Curious people with a natural ability to think on their feet, learn fast, and develop points-of-view for a constantly changing world find Method an exciting place to work. Our employees are excited to collaborate with dispersed and diverse teams that bring together the best in thinking and making. We champion the ability to listen, and believe that critique and dissonance lead to better outcomes. We believe everyone has the capacity to lead and look for proactive individuals who can take and give direction, lead by example, enjoy the making as much as they do the thinking, especially at senior and leadership levels.

We believe in work/life balance. Seriously. We offer a ton of competitive perks, including:

• Continuing education opportunities 
• Flexible PTO and work-from-home policies 
• Pension 
• Health and dental benefits
• Company lunches, company outings, along with a lot of snacks 
• Health and wellness programs 
• Other location specific perks (just ask!)

Next Steps

If Method sounds like the place for you, please submit an application. Also, let us know if you have a presence online with a portfolio, GitHub, Dribbble or other platform.

* For information on how we process your personal data please see Privacy.

* If you are a California resident, more details on how we process your personal information can be found in the CCPA Recruitment Privacy Notice (https://www.globallogic.com/privacy/ccpa-recruitment-privacy-notice/)"

Colorado Applicants (Colorado Equal Pay for Equal Work Act Disclosure):  The starting salary range for this role to be performed in Colorado is estimated to be between $160,000 to $200,000 annually.  This salary range is specific to Colorado residents only, and provided as a general estimate.  The amount offered may be higher or lower. Method  takes many factors into making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations. 

New York City Applicants (New York City Local Law 32;  Pay Transparency Law):  The starting salary range for this role to be performed in New York City is from $192,000 to $205,000. This salary range is specific to New York City residents only, and provided as a general, good faith estimate. The amount offered may be higher or lower. Method takes many factors into making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations.

The Challenge

We are hiring a Cloud Operations Engineer to join the global Cloud Operations team. You will support production customers by monitoring and maintaining a highly distributed, scalable and resilient global cloud infrastructure

Your Mission

• You'll be building scripts for operational automation and incident response
• You'll handle processes surrounding cloud application deployment for our agile release
• You'll be working with the monitoring, tuning, maintenance, and support of Linux, Azure SQL, Kubernetes, Kafka, MongoDB, cloud infrastructure/services, etc.
• You will define, measure, and meet key operational metrics including performance, incidents, capacity, and availability
• You will run incident resolution within the environment, facilitating teamwork with other departments as required
• You'll build out lifecycle processes to mitigate risk and ensure platforms remain current, in accordance with industry standard methodologies
• You will automate the deployment of new software to cloud environment in coordination with DevOps engineers

You Are

• Highly organized and meticulous with excellent process management skills
• Able to lead multiple tasks with shifting priorities
• Able to function in a rapidly changing environment
• Someone with good verbal and written interpersonal skills – you are able to clearly and effectively articulate ideas and direction of projects

Your Experience Includes

• Two (2) or more years working with the Microsoft Azure platform (preferred) or another public cloud platform
• One (1) or more years of experience in automation tools like Terraform, Linux scripting, Cloud Orchestration tools like Ansible or Chef, etc.
• Ability to write scripts in one major scripting language such as Bash, PowerShell &/or Python
• Ability to plan, schedule and monitor work activities in order to meet time and quality targets.
• Understanding of Container and DevOps technologies

Extra Awesome

• Previous DevOps experience
• Experience working with in an agile B2B enterprise environment
• Experience working with distributed teams across geos

The Challenge 

We’re looking for a Principal Software Engineer with a passion for solving problems to join our agile AI Governance team at OneTrust. Principal Software Engineers are responsible for developing, contributing to decisions related to design and architecture of new frontend and/or backend features while supporting existing development efforts for our industry-leading platform. 

Your Mission 

Development  

• Support development of Java microservices/Libraries while integrating with various AI platforms for Onetrust’s AI Governance product. It will involve the designing, development, and unit testing of applications deployed to MS Azure with cloud application architecture using Core Java, REST, and the Spring ecosystem. 
• Achieve at least 80% code coverage or per the revised standards set by the team.

Collaboration   

• Work closely with UX, Product Managers and/or Product Owners, as well as other developers to contribute to planning and grooming sessions and drive team’s discussions on system architecture and component design.  
• Support the team to ensure all committed stories for the sprint are completed per the sprint goal. 

Support   

• Work toward reducing total number of defects in the module/product to industry standards by catching and fixing issues early in development.  
• Ensure critical and high priority CII’s are delivered per SLA.  

Code Review 

• Conduct peer reviews to improve code quality. 
• Help junior developers follow development testing, exploratory testing, AI testing and/or test automation. 

Lead 

• Help build high-performing teams by mentoring the team on new technical skills. 

You Are 

A self-learner who is open to new technologies, processes, or techniques to improve your ability to deliver high-quality software. Someone who asks questions to clarify gaps in understanding.  

Your Experience Includes  

• Bachelor's or master's degree in computer science, Engineering, or related technical or business field.
• 8+ years of professional software engineering/development experience
• Extensive hands-on experience and expertise in object-oriented design methodology and application development using Java/J2EE, Design Patterns, Spring MVC, SQL, Web services. 
• Working experience with one or more AI platforms like Amazon SageMaker, Google Vertex, AWS Bedrock etc.
• Experience with elastic search and data streaming tools like Kafka.
• Good understanding of web services and SOA related standards like REST/OAuth/JSON.
• Moderate understanding of code and script (Python, Bash)
• Good experience with SQL and NoSQL databases
• Agile development (Scrum, XP, or Pair Programming) experience
• Ability to use a wide variety of open-source technologies and cloud services.
• Familiarity with public cloud providers such as (Azure, Google Cloud, or AWS) 

Extra Awesome 

• Familiarity with different databases (Relational and document) is a strong asset.
• Familiarity with continuous integration and continuous deployment (CI/CD) tools, such as Jenkins.
• Proficiency in Kubernetes, including cluster deployment, scaling, and management is highly desirable. 

The Challenge

We’re looking for a Principal Software Engineer with a passion for solving problems to join our agile Product Engineering team at OneTrust. Principal Software Engineers are responsible for developing, contributing to decisions related to design and architecture of new frontend and/or backend features while supporting existing development efforts for our industry-leading platform.

Your Mission

Development 

• Support development of web and mobile interfaces for product module or new prototypes using HTML, CSS, JavaScript/Typescript and/or the designing, development, and unit testing of applications deployed to MS Azure while assisting with cloud application architecture using Drupal, Python, Core Java, REST, and the Spring ecosystem.
• Achieve at least 80% code coverage or per the revised standards set by the team

Collaboration  

• Work closely with UX, Product Managers and/or Product Owners, as well as other developers to contribute to planning and grooming sessions and drive team’s discussions on system architecture and component design.  
• Support the team to ensure all committed stories for the sprint are completed per the sprint goal 

Support  

• Work toward reducing total number of defects in the module/product to industry standards by catching and fixing issues early in development. 
• Ensure critical and high priority CII’s are delivered per SLA. 

Code Review

• Conduct peer reviews to improve code quality.
• Help junior developers follow development testing, exploratory testing, AI testing and/or test automation.

Lead

• Help build high-performing teams, grow and mentor the technical skills within the team and create development opportunities for them.

You Are 

A self-learner who is open to new technologies, processes, or techniques to improve your ability to deliver high-quality software. Someone who asks questions to clarify gaps in understanding. 

You Are

A self-learner who is open to new technologies, processes, or techniques to improve your ability to deliver high-quality software. Someone who asks questions to clarify gaps in understanding. 

Your Experience Includes 

• Bachelor’s or master’s degree in computer science, Engineering, or related technical or business field.
• 8+ years of professional software engineering/development experience
• Extensive hands-on experience and expertise in object-oriented design methodology and application development using Java/J2EE, Design Patterns, Spring MVC, SQL, Web services.
• Experience with elastic search and data streaming tools like Kafka.
• Good understanding of web services and SOA related standards like REST/OAuth/JSON.
• A competent understanding of code and script (Python, Bash)
• Moderate experience with SQL and NoSQL databases
• Agile development (Scrum, XP, or Pair Programming) experience
• Ability to use a wide variety of open-source technologies and cloud services (Azure, Google Computer, or Amazon Web Services)
• Recent development experience using Drupal, Ember, Angular 8+, Java 7+, or Python.
• Familiarity with public cloud providers such as (Azure, Google Cloud, or AWS)

Extra Awesome

• Familiarity with different databases (Relational and document) is a strong asset.
• Familiarity with continuous integration and continuous deployment (CI/CD) tools, such as Jenkins.
• Proficiency in Kubernetes, including cluster deployment, scaling, and management is highly desirable.

The Challenge

We’re looking for a Principal Software Engineer with a passion for solving problems to join our agile Product Engineering team at OneTrust. Principal Software Engineers are responsible for developing, contributing to decisions related to design and architecture of new frontend and/or backend features while supporting existing development efforts for our industry-leading platform.

Your Mission

Development 

• Support development of web and mobile interfaces for product module or new prototypes using HTML, CSS, JavaScript/Typescript and/or the designing, development, and unit testing of applications deployed to MS Azure while assisting with cloud application architecture using Drupal, Python, Core Java, REST, and the Spring ecosystem. 
• Achieve at least 80% code coverage or per the revised standards set by the team

Collaboration  

• Work closely with UX, Product Managers and/or Product Owners, as well as other developers to contribute to planning and grooming sessions and drive team’s discussions on system architecture and component design.  
• Support the team to ensure all committed stories for the sprint are completed per the sprint goal 

Support  

• Work toward reducing total number of defects in the module/product to industry standards by catching and fixing issues early in development.  
• Ensure critical and high priority CII’s are delivered per SLA. 

Code Review

• Conduct peer reviews to improve code quality. 
• Help junior developers follow development testing, exploratory testing, AI testing and/or test automation.

Lead

• Help build high-performing teams, grow and mentor the technical skills within the team and create development opportunities for them.

You Are

A self-learner who is open to new technologies, processes, or techniques to improve your ability to deliver high-quality software. Someone who asks questions to clarify gaps in understanding. 

Your Experience Includes 

• Bachelor’s or master’s degree in computer science, Engineering, or related technical or business field.
• 8+ years of professional software engineering/development experience
• Extensive hands-on experience and expertise in object-oriented design methodology and application development using Java/J2EE, Design Patterns, Spring MVC, SQL, Web services.
• Experience with elastic search and data streaming tools like Kafka.
• Good understanding of web services and SOA related standards like REST/OAuth/JSON.
• A competent understanding of code and script (Python, Bash)
• Moderate experience with SQL and NoSQL databases
• Agile development (Scrum, XP, or Pair Programming) experience
• Ability to use a wide variety of open-source technologies and cloud services (Azure, Google Computer, or Amazon Web Services)
• Recent development experience using Drupal, Ember, Angular 8+, Java 7+, or Python.
• Familiarity with public cloud providers such as (Azure, Google Cloud, or AWS)

Extra Awesome

• Familiarity with different databases (Relational and document) is a strong asset.
• Familiarity with continuous integration and continuous deployment (CI/CD) tools, such as Jenkins.
• Proficiency in Kubernetes, including cluster deployment, scaling, and management is highly desirable.

The Challenge

We are hiring a Senior Cloud Operations Engineer to join the global Cloud Operations team. You will support production customers by monitoring and maintaining a highly distributed, scalable and resilient global cloud infrastructure.

Your Mission

To work with distributed teams in order to provide support to customers through automation, deployment, incident response related tasks.

• You'll be working with the monitoring, tuning, maintenance, and support of Linux, Azure SQL, Kubernetes, Kafka, MongoDB, cloud infrastructure/services, etc. 
• You will define, measure, and meet key operational metrics including performance, incidents, capacity, and availability 
• You will run incident resolution within the environment, facilitating teamwork with other departments as required 
• You'll build out lifecycle processes to mitigate risk and ensure platforms remain current, in accordance with industry standard methodologies 
• You will automate the deployment of new software to cloud environment in coordination with DevOps engineers 

You Are

Highly organized and meticulous with excellent process management skills, capable of leading multiple tasks with shifting priorities while functioning in a rapidly changing environment.

Your Experience Includes

• Bachelor’s Degree or Master’s Degree in Computer Science, Engineering or related field
• 4+ years of professional experience
• 2 or more years working with the Microsoft Azure platform (preferred) or another public cloud platform 
• 1 or more years of experience in automation tools like Terraform, Linux scripting, Cloud Orchestration tools like Ansible or Chef, etc. 
• Ability to write scripts in one major scripting language such as Bash, PowerShell &/or Python 
• Ability to plan, schedule and monitor work activities in order to meet time and quality targets. 
• Understanding of Container and DevOps technologies 

Extra Awesome

• Previous DevOps experience
• Experience working with in an agile B2B enterprise environment
• Experience working with distributed teams across geos

The Challenge

We are hiring a DevOps Engineer who will collaborate between our Engineering and Cloud Ops teams. DevOps Engineers build out the automated infrastructure and tooling for development, testing and production environments. DevOps Engineers contribute to productizing new software by developing installation, deployment and maintenance scripts.

Your Mission

• Develop and maintain an understanding of the software development and deployment pipeline - This includes initial software architecture and development, the continuous integration workflow, deployment of software through production.  
• Design, build and maintain automation that powers our cloud-based product deployments and auto-scaling with zero downtime and the ability to easily rollback.  
• Support application infrastructure to ensure the OneTrust platform is optimized for performance and reliability  
• Build and maintain supporting infrastructure for cloud environments through an “infrastructure as code” methodology  
• Perform and automate system administration services including installation, configuration, maintenance, and disaster recovery  
• Identify emergent issues that indicate scalability and reliability problems, working with development and operations teams to help drive solutions  
• Identify system level issues related to OS configuration and virtual hardware bottlenecks  
• Manage incident response protocol and provide hands-on direction during service interruptions - Assist with Root Cause Analysis of service interruptions and maintain SLA  
• Automation, auditing, and other tooling for security, compliance, and resource usage - Monitor and improve processes for all deployments  
• Mentor other engineers to deliver quality standards  

You Are

• Highly organized and meticulous with excellent process management skills 
• Self-motivated and technically curious, able to leverage self-directed time and able to prioritize and manage multiple tasks  
• Able to function in a rapidly changing environment  
• Someone with good verbal and written interpersonal skills – you are able to clearly and effectively articulate ideas and direction of projects  
• Passionate for high quality work and attention to detail 

Your Experience Includes

• Bachelor's degree in Computer Science, Engineering, or related technical or business field  
• 4+ years as Software Developer, Systems Engineer, or DevOps Engineer  
• Experience with infrastructure automation using Docker, Chef, Terraform, or equivalent  
• Strong distributed systems knowledge and web services design, implementation, and/or operation experience  
• Hands on experience with CI/CD pipeline and tools (Jenkins or similar tools)  
• A working understanding of code and script (Java, Python, Perl, and/or Ruby) 
• Agile development (Scrum, XP, or Kanban) experience 
• Ability to use a wide variety of open source technologies and cloud services (Azure, Google, or AWS) 
• Knowledge in collecting distributed logs/events and automating triggers based on events (Elastic Stack or similar)

Extra Awesome

• Experience in setting up and scaling message brokers like Kafka or equivalent
• Experience in setting up and scaling NoSQL document databases like MongoDB or equivalent
• Experience with Kubernetes management platform like AKS, EKS, GKE or equivalent

The Challenge 

As a Senior Principal Software Engineer, you will serve as a technical leader for OneTrust’s AI Governance platform, driving the design, scalability, and reliability of systems that enable enterprises to deploy and govern AI and LLM-powered applications responsibly. You will deeply understand how customers build, deploy, and operate AI systems, and translate those needs into secure, compliant, and observable platform capabilities. 

Your Mission  

Development   

• Lead the design and development of Java/Python microservices and shared libraries integrating with AI platforms for OneTrust’s AI Governance product.
• Design, build, and test cloud-native applications deployed on Microsoft Azure using Core Java, REST, and the Spring ecosystem.
• Build features with RAG, agent workflows, and model orchestration.
• Own technical design for critical systems, ensuring scalability, security, and reliability.
• Maintain strong automated unit/integration test coverage and engineering standards. Achieve at least 80% code coverage or per the revised standards set by the team 

Collaboration    

• Work closely with UX, Product Managers and/or Product Owners, as well as other developers to contribute to planning and grooming sessions and drive team’s discussions on system architecture and component design.   
• Partner with Product, UX, and Customer Success to understand customer AI use cases and governance needs.
• Lead architecture discussions and technical planning.
• Drive alignment across teams on platform design and priorities.
• Contribute to sprint planning and delivery. 

Support    

• Reduce defects by identifying and addressing issues early in the development lifecycle.
• Ensure critical and high priority CII’s are delivered per SLA.  
• Promote early defect detection through strong design and testing.
• Improve system monitoring, resilience, and operational maturity. 

Code Review  

• Set standards for clean, secure, and maintainable code.
• Conduct thorough reviews for distributed and AI-enabled systems.
• Guide engineers on testing, automation, and AI system validation.

Lead  

• Help build high-performing teams by mentoring the team on new technical skills. 
• Influence technical strategy and long-term platform direction.
• Build a culture of ownership, learning, and engineering excellence. 

You Are  

A senior technical leader with strong system design and hands-on execution skills, who understands how enterprises use AI and LLMs in real-world workflows and can translate those needs into scalable, secure, and compliant platform solutions. 

Your Experience Includes   

• Bachelor's or master's degree in computer science, Engineering, or related technical or business field. 
• 12+ years of professional software engineering/development experience  
• Strong expertise in Java/J2EE, Spring, design patterns, microservices architecture, and cloud-native distributed systems
• Proven experience building production-grade agentic AI systems with robust tool-use, guardrails, and observability for enterprise-scale workloads.  
• Solid understanding of RAG pipelines, agent workflows, model orchestration, and evaluation practices.
• Working experience with one or more AI platforms like Amazon SageMaker, Google Vertex, AWS Bedrock etc. 
• Experience with elastic search and data streaming tools like Kafka.  
• Good understanding of web services and SOA related standards like REST/OAuth/JSON.  
• Moderate understanding of code and script (Python, Bash)  
• Good experience with SQL and NoSQL databases 
• Agile development (Scrum, XP, or Pair Programming) experience  
• Ability to use a wide variety of open-source technologies and cloud services.  
• Familiarity with public cloud providers such as (Azure, Google Cloud, or AWS)  

Extra Awesome  

• Experience with different databases (Relational and document) is a strong asset. 
• Familiarity with continuous integration and continuous deployment (CI/CD) tools.  
• Proficiency in Kubernetes, including cluster deployment, scaling, and management is highly desirable.
• Background in enterprise, regulated, or security-focused environments. 

The Challenge

We are seeking a Principal Domain Architect who will define and drive the technical vision for AI-native and agentic systems across the platform. This role combines deep system architecture expertise, AI innovation, and strategic technology leadership to build scalable, reliable, and enterprise-grade solutions. The Principal Architect will work closely with Product, AI Platform teams, Architecture Guild, and engineering leadership to guide the design of complex distributed systems, influence the product roadmap, and drive the adoption of modern AI-native architectures across the organization. This leader is expected to identify emerging engineering advancements and translate them into strategic business opportunities, while improving engineering efficiency and technical excellence across products.

Your Mission

• Define and deliver architecture for AI-native agentic systems, enabling scalable and enterprise-grade multi-agent solutions.
• Create and evaluate failure mode scenarios for agentic workflows and incorporate architectural safeguards to ensure resilience and reliability.
• Provide deep expertise in LLM architectures, prompt engineering, RAG approaches, model selection, model training, LoRA knowledge, cost optimization, performance, security, and quality considerations.
• Drive technology transformation within the domain, enabling teams to adopt modern AI-native architectures and engineering practices.
• Stay current with rapid advancements in the agentic AI ecosystem, continuously evaluating emerging frameworks, tools, and architectural patterns.
• Champion technical exploration and spikes to test new ideas, validate feasibility, and guide long-term architectural decisions.
• Collaborate closely with the AI Platform team to influence platform capabilities and ensure alignment with enterprise architecture.
• Define metrics, evaluation frameworks, and observability standards for agentic systems.
• Provide architectural guidance and oversight to engineering squads, reviewing designs and co-creating solutions for complex initiatives.
• Act as a technology leader for the domain, influencing the Architecture Guild and driving best practices across engineering teams.
• Ensure teams adopt architecture governance standards and best practices.
• Champion technical controls and disciplined engineering practices to proactively manage architectural complexity and technical debt.
• Design and build high-performance distributed systems capable of supporting enterprise workloads.
• Recognize industry trends and proactively influence the product and engineering roadmap.
• Mentor engineers and architects, strengthening the organization’s technical leadership and architectural maturity.

Architecture Leadership

• Design large-scale distributed systems and AI-powered architectures that support multiple products and integrations.
• Create and maintain architecture models, system diagrams, and technical design documentation covering current and future state architecture.
• Conceive and evolve product and service architectures ensuring scalability, reliability, and operational efficiency.
• Ensure systems are designed for high availability, performance, and ease of operations.

Strategic Technology Leadership

• Contribute to company-level engineering strategy and evaluate the business impact of emerging technologies.
• Lead engineering initiatives to improve platform capabilities and engineering productivity.
• Participate in strategic programs that impact company-wide technical direction.
• Influence cross-organizational architecture decisions and collaborate with Director and VP level stakeholders.

Engineering Excellence

• Recommend technologies and frameworks that increase engineering productivity and system reliability.
• Oversee technical aspects of major initiatives and ensure high engineering standards.
• Mentor engineers and technical leaders to strengthen system design capabilities and engineering best practices.

You Are

• A highly skilled technical leader with strong architectural vision.
• An analytical thinker with strong problem-solving and system design skills.
• A strong communicator capable of influencing leadership and cross-functional teams.
• Passionate about mentoring engineers and improving technical excellence across the organization.

Your Experience Includes

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 16+ years of software engineering experience with deep expertise in distributed systems.
• Extensive experience with Java-based development using REST APIs, Spring Boot, and microservices architectures.
• Strong experience designing distributed, asynchronous, and event-driven architectures.
• Expertise building low-latency, high-throughput data pipelines and large-scale data platforms.
• Experience with data streaming and event processing technologies such as Kafka, Kinesis, Spark, or Flink.
• Strong knowledge of data structures, algorithms, distributed algorithms, and system programming.
• Experience with fault-tolerant messaging systems such as Kafka, RabbitMQ, AMQ, or ZeroMQ.
• Experience working with distributed data stores including MongoDB, Cassandra, CockroachDB, or CouchDB.
• Experience integrating applications with search platforms such as Elasticsearch or Solr.
• Proven experience mentoring engineers and building strong engineering practices.
• Strong ability to create and maintain architecture documentation and system design artifacts.
• Excellent leadership, verbal, and written communication skills.

Extra Impressive  

• Master’s degree in Computer Science, Engineering, or related field.
• Experience running large-scale web services and distributed platforms.
• Deep understanding of system performance tradeoffs, load balancing, and high-availability architectures.
• Experience with cloud-native and serverless architectures.
• Experience designing graph-based data models and graph architectures.
• Experience building AI-native platforms or LLM-powered systems.

Iterable is leveling up.

Iterable is building the next generation of customer engagement, one where AI doesn’t just assist, it acts. Our platform is evolving into an AI-native system powered by Nova, enabling teams to translate goals into intelligent, real-time customer experiences across every channel. This isn’t about layering AI onto legacy tools; it’s about re-architecting how data, decisioning, and execution come together to create adaptive, agentic journeys at scale.

Ready to move beyond pipelines and build intelligence-ready data systems? 

We are looking for a Senior Product Manager to define how data moves, lives, and performs across Iterable. You’ll own the vision and roadmap for the full lifecycle of user and event data, from ingestion to intelligent storage to governed, high-performance access.

You’ll shape the systems that power both messaging surfaces and Nova AI experiences, ensuring data is fast, reliable, and ready for real-time decisioning. 

Every campaign launched, every journey orchestrated, every model activated, it all depends on the foundations you build.

How you will make an impact:

• Own the end-to-end user data platform charter: define how user and event data moves from APIs and pipelines into storage, through schema and lifecycle management, and out through query surfaces used by sends, journeys, and AI features—staying focused on core user data infrastructure, not analytics UI or external integrations.
• Make ingestion and identity reliable at scale: evolve ingestion APIs and pipelines with clear SLOs, prioritization, and fair-usage limits, and drive a clear identity model so we can safely move users from anonymous to known without duplicates or data loss.
• Modernize storage, schemas, and guardrails: lead ES8 and user-store roadmaps, retention and cost work, and turn schema management into a first-class product (field removal, usage heatmaps, structural guardrails) so customers can keep only the data that matters.
• Enable Nova and product teams with better data: partner with AI/ML and application teams to define what “AI-ready” means, evolve a centralized query layer with guardrails, and own platform metrics (SLOs, incidents, ES cost, schema health, query coverage) that show the impact of your roadmap.

In this role, you'll get to:

• Work at the heart of Iterable’s data plane—where decisions about ingestion, storage, schema, and queries shape everything built on top of it.
• Make concrete tradeoffs between flexibility and guardrails: when to allow arbitrary payloads vs. when to insist on structure, how much history to keep online, and which queries are too risky to run.
• Partner closely with senior engineering leaders on long-horizon decisions about search/index strategy, user stores, SLOs, and cost posture.
• Spend time with customers’ data and engineering teams to understand how they actually model users and events today—and reflect that reality in a cleaner, more powerful user data platform.

We are looking for people who have:

• 5+ years of product management experience in B2B SaaS, focused on backend, platform, or data infrastructure products.
• Hands-on experience with user and event data systems—for example: ingestion pipelines, identity/alias models, event stores, or large search/document databases (e.g., Elasticsearch).
• Strong instincts around APIs and schemas: you’re comfortable reading JSON payloads, thinking through nesting vs. flattening, and managing breaking changes over time.
• Familiarity with distributed systems and data infra (Kafka/Pulsar, Redis, relational or NoSQL stores, or search engines) and the tradeoffs around performance, reliability, and cost.
• Experience collaborating with AI/ML or data science teams on the data side—feature availability, data quality, semantics—enough to know what really blocks good models and agent behavior.
• Strong analytical skills (including SQL) and a habit of using data to drive prioritization and validate impact.
• Clear, direct communication; you can explain a data or infra decision to both senior engineers and non-technical stakeholders without jargon for its own sake.

Bonus points:

• You’ve worked on a core user-data or messaging platform where profiles, events, and identity resolution were central concepts.
• You’ve shipped guardrails or cost controls for shared infrastructure (rate limits, query limits, SLOs, or similar).
• You’ve been part of a major search / storage modernization (e.g., ES migrations, index redesigns, or retention changes).
• Background in computer science, data engineering, or a related field that lets you go deep with engineering when needed.

Perks & Benefits:

• Paid parental leave
• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $138,500 - $213,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

How you will make an impact:

You’ll work as a member of Team Q. Team Q manages Iterable technologies and libraries powering the myriad of queueing problems across Iterable.  At peak parts of the day these queues reach nearly 1 million publishes a second! Team Q is building towards continuously enriching self-service platforms that allow every Iterable team to plug into this high scale torrent of messages - seamlessly. 

As a Senior Software Engineer on Team Q at Iterable, you'll have the opportunity to direct how we support massive real-time traffic ensuring fairness and predictability for our customers.

Your work will include designing and implementing our next-generation queueing library, including how we dynamically prioritize incoming traffic and schedule+predict long-running workloads. You’ll work closely across teams in Iterable to understand our rich set of queueing use cases to help form the solutions on the team roadmap.

We believe in a strong, friendly engineering culture and value personal and professional growth. You'll get to work on what you like and one of our explicit goals as a team is to build a uniquely fun and growth-oriented culture. Our team of hackers and thinkers is small, lean, and empathetic.

One of our core values is a growth mindset and Iterable is a company where everyone can grow. If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description.

How you will make a difference:

• Design and build libraries to accelerate the building of Customer Products
• Build products to gracefully handle widely varying traffic patterns in queues
• Collaborate with a small and nimble engineering team
• Identify and resolve performance bottlenecks

We are looking for people who:

• Experience designing, developing, and operating asynchronous systems
• Experience with queueing technology (RMQ, SQS, Kafka, etc)
• Proficiency  in at least one modern programming language (we use Scala)
• A passion for developer experience
• Passion for learning and a team player

Bonus Points

• Experience managing operations in datastores used in services
• Experience with Scala ZIO and reactive domain modeling
• Contributor to a queueing technology

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $133,500 - $212,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

About the Company:

Stable Kernel is a technology services firm and custom software developer building scalable software solutions for cutting-edge, innovative enterprises to move their business forward. We are headquartered in Atlanta, GA.

We’re a privately held, Great Place to Work Certified Company™ with a multi-award-winning culture and an impressive 10-plus-year trajectory of sustainable growth. At Stable Kernel, we support our employees in ways that help them do some of the best work of their lives.

About the Role:

As a Stable Kernel Principal Software Engineer, you play an essential role in setting our portfolio of world-class clients up for success through the development and delivery of their most innovative, transformational initiatives. You will collaborate daily with other engineers and product team members, make decisions that influence the path of a product roadmap, leverage software development best practices, and become a more well-rounded engineer as you learn new technologies. Your knowledgeable practice, reliability, and consultative nature make you an engineer that stakeholders and teammates trust.

Principal Software Engineers may be classified as individual contributors or people managers with individual contributor responsibilities.

Core Responsibilities Include:

• Technical Impact: 
• Design and implement loyalty engine services in Java using the Spring framework, including transaction processing, tier calculation, reward accrual, and benefit eligibility.
• Design and implement RESTful API services in Java using the Spring framework, following contract-first development practices, with a focus on aggregation patterns, caching strategies, circuit breaking, and graceful degradation for latency-sensitive flows.
• Modern Java (17+) and familiarity with current Spring Boot conventions, including reactive patterns where appropriate.
• Cloud platform experience (AWS, GCP, or Azure), including service deployment, networking fundamentals, and managed services such as queues, caches, and databases.
• Identity and access management protocols such as OAuth 2.0, OIDC, and SAML, including integration with enterprise identity providers and directory services.
• Establishing and evolving service architecture, including domain modeling, rules evaluation patterns, event-driven state management, auditability, API versioning, and backward-compatibility standards that support independent mobile release cadences.
• Defining integration contracts with upstream enterprise platforms (POS, CRM, commerce, identity providers) and downstream consumers (BFF, analytics, finance), including data normalization, error mapping, and retry logic.
• Building and maintaining integrations that pull transaction data from multiple channels and apply consistent earning logic regardless of source.
• Authentication and session management patterns, including token refresh, device trust, and silent re-authentication for long-lived mobile sessions.
• Implementing cross-cutting concerns such as idempotency, correlation IDs, observability, and audit event emission.
• Implementing robust state management for account-level aggregations, provisional and finalized reward states, and period-based accrual tracking.
• Designing test strategies for complex business rules, including edge cases around split-tier earning, return adjustments, forward offsets, delegate activity aggregation, and high system reliability.
• Implementing security and audit concerns: role-based access, 2FA for redemption flows, full audit trails for all state changes.
• Designing and involving yourself in CI/CD and automated testing for high system reliability.
• Providing expert feedback that improves the overall delivery of work and ensuring a high standard of quality across the project.
• Using AI-assisted development tools such as Claude Code or Cursor to accelerate delivery while maintaining code quality and architectural standards.
• Business Alignment: 
• Clarifying strategic outcomes and influencing roadmaps and projects.
• Identifying, suggesting, and driving improvements in your customers' end-to-end experience.
• Aiding in estimating work for new business with more unknowns and coaching others in estimation best practices. 
• Interacting with Others: 
• Coordinating across the entire company.
• Influencing the entire organization to make changes to support your work.
• Advising teams across the company.
• Autonomy & Ambiguity: 
• Designing a long-term roadmap with no direction. 
• Translating customer and business needs and strategic direction into projects and consistently simplifying high-complexity situations.
• Coaching and mentoring others in tackling ambiguity.
• Problem-Solving:
• Decomposing strategic direction into projects:
•  Planning, communicating, and executing to solve our most challenging problems.
• Ensuring alignment with long-term objectives, fostering a culture of informed decision-making and innovation.
• Anticipating most risks and driving simplification to mitigate risks ahead of time. 
• Escalating issues while solving them in parallel ensuring others are informed.
• Leadership:
• Proposing new organization-level processes to improve key areas such as team throughput, employee happiness, or product engagement.
• Driving best practices across the organization.
• Exhibiting exceptional mentoring abilities and fostering a culture of continuous learning and improvement by
• identifying and nurturing potential in others 
• providing strategic guidance
• helping develop career paths for team members 
• Leading projects.
• Setting the strategic direction for projects or areas of technology, leading multiple project teams, and influencing decision-making at higher organizational levels. 
• Exhibiting strong capabilities in stakeholder management, negotiating, and problem-solving in complex scenarios. 
• Mentoring and developing other leaders within the team, fostering a culture of innovation, and contributing significantly to organizational goals.

Deep Expertise With:

• Java for server-side development.
• The Spring framework ecosystem (Spring Boot, Spring MVC, Spring Security, Spring Data).
• Domain-driven design principles, including bounded contexts, aggregates, and domain events.
• RESTful API design principles, including contract-first approaches and OpenAPI/Swagger.
• Event-driven and message-oriented patterns (e.g., Kafka, RabbitMQ, or SQS) for reliable state transitions and integration.
• Integration patterns: API gateway, circuit breaker, retry/backoff, caching (Redis or similar), ETL or event-based data flows, and idempotency.
• Relational databases (e.g., PostgreSQL, MySQL) with strong skills in schema design, query optimization, and transactional integrity; familiarity with NoSQL datastores a plus.
• Rules engine patterns or configurable business logic frameworks.
• CI/CD tooling such as Jenkins, GitHub Actions, or similar, including pipeline authoring and deployment automation.
• Containerization and orchestration tools such as Docker and Kubernetes.
• SCM tools such as Git.
• Observability tooling such as Datadog, Splunk, New Relic, or OpenTelemetry.
• Automated testing at multiple layers: unit (JUnit, Mockito), integration, contract testing, and scenario-based validation of business rules.

General Requirements:

• 10+ years of development experience with an emphasis on back-end development. 
• Extensive experience serving as a trusted consultant to stakeholders and cross-functional teams, providing expert guidance on backend service design, delivery, and integration.
• Degree in Computer Science or relevant field or experience. 

Nice to Haves:

• Experience building loyalty, rewards, or financial calculation engines.
• Experience building BFF or API aggregation layers for mobile applications.
• Familiarity with Salesforce CRM, Commerce Cloud, or Identity integration patterns.
• Experience with POS system integration and transaction-level data processing.
• Background in fintech, payments, or systems where auditability and financial accuracy are critical.
• Experience modeling complex account hierarchies (parent-child organizations, delegate/role structures).
• Experience with feature flagging and progressive rollout.
• Experience working alongside mobile teams to negotiate and iterate on API contracts.

A Bit More Info:

Minimum Base Compensation: $170,000

This is a full-time position.

Stable Kernel operates a People Before Place Hybrid model, allowing most employees to choose where they can do their best work most days.

Minimal travel is associated with this role.

Our generous total compensation package includes:

• Company-subsidized health, vision, and dental plan premium options beginning on the first day of employment
• 401k with above-average company matching 
• Fully paid Group Life, Short and Long Term Disability, and AD&D insurance
• Optional Flexible Spending Account and Health Savings Account participation
• Voluntary Life, Critical Illness, and Accident insurance
• EAP and Health Advocacy program available at no cost to employees and their dependents
• $3000+ annual industry educational budget 
• Paid time off and paid holidays 

*Note – We are not sponsoring employment visas at this time. If you are currently in possession of an employment visa, it will need to be effective for at least 3 years from the date of your application for your candidacy for employment to be considered.

Stable Kernel’s culture is inclusive and expansive. We celebrate diversity in its many glorious forms and do not discriminate based on race, religion, color, national origin, gender role orientation, sexual orientation, age, marital status, veteran status, or disability status.

However, we will discriminate against those unwilling to comply with the practice of our company values:

• we work with integrity always
• we respect our work and each other
• we are dedicated to life-long learning and sharing
• we stay hungry for new challenges

If you are like-minded in this regard, we hope you will apply. We look forward to meeting you.

As a Mobile Engineer supporting RoadieXD™, Roadie’s cross-dock solution, you’ll help build and maintain our warehousing mobile platform. You’ll collaborate with cross-functional teams to deliver scalable, high-quality features that support warehouse operations and improve the user experience.

What You’ll Do

• Contribute to the development of our warehousing mobile platform (e.g., order management, barcode scanning, RFID label printing, shipment tracking)
• Write clean, maintainable, and well-tested code
• Support ongoing improvements to core app functionality and assist with prototyping new features
• Help integrate new scanning and printing devices into the mobile platform
• Contribute to maintaining mobile repositories and supporting CI/CD workflows
• Collaborate with engineering, product, operations, and design to deliver solutions
• Partner with UX/UI designers to implement intuitive, user-friendly interfaces
• Apply best practices to improve app performance, reliability, and maintainability
• Occasionally travel to warehouse locations to better understand user needs and workflows

Technology We’re Using

• Mobile: Flutter/Dart, Android, Swift
• Backend & Infra: Postgres, Redis, Kafka, Firebase, GraphQL
• Cloud & DevOps: AWS, Docker, Kubernetes
• Tools: Git, GitHub, CircleCI

What You Bring

• 3+ years of software development experience
• 2+ years of experience with Flutter/Dart
• Experience building and shipping mobile applications
• Familiarity with integrating APIs and working with backend systems
• Basic understanding of mobile architecture and UI/UX principles
• Exposure to native mobile development (Android or iOS) is a plus
• Strong problem-solving skills and attention to detail
• Ability to collaborate effectively and communicate clearly
• Willingness to learn and grow in a fast-paced environment

Why Roadie? 

• Competitive compensation packages 
• 100% covered health insurance premiums for yourself
• 401k with company match
• Tuition and student loan repayment assistance (that’s right - Roadie will contribute directly to your existing student loans!) 
• Flexible work schedule with unlimited PTO 
• Monthly 3-day weekends
• Monthly WFH stipend 
• Paid sabbatical leave- tenured team members are given time to rest, relax, and explore
• The technology you need to get the job done

So, what’s the role all about?

The Senior Cloud Database Engineer will ensure SQL Server database performance and availability in a 24x7 environment.

How will you make an impact?  

• Install, configure, upgrade, monitor, maintain, and manage multiple SQL Server databases.
• Perform database and application tuning.
• Establish and maintain sound backup and recovery policies and procedures.
• Implement and maintain database security
• Create, maintain, and monitor SQL 
• Other duties assigned by the manager

Have you got what it takes? 

• Bachelor’s degree in Computer Science, Business Information Systems, or related field or equivalent work experience required.
• 5+ years maintaining SQL Server mission-critical databases 
• 5+ years of TSQL programming 
• 2+ years implementing and maintaining database replication
• 2+ years implementing and maintaining SQL Server Availability Groups
• Ability to work with technical and non-technical people 
• Problem-solving skills are a must 
• Ability to meet deadlines

You will have an advantage if you also have:

• SSAS/SSRS/SSIS
• Newer data/streaming platforms: Kafka, MSK, Snowflake, Aurora DB, SNS
• AWS, AWS CLI management
• MS Azure database management
• MCSE/MCDBA/OCP 
• NET technologies 
• PowerShell 
• C#
• Rubrik
• TFS/GitHub

What’s in it for you?

Join an ever-growing, market-disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr!

Enjoy NICE-FLEX!

At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

How you will make an impact:

As a Software Engineer II at Iterable, you'll independently develop, maintain, and deliver moderate-complexity projects on your team. You'll be working with the Delivery team which builds and maintains the pipeline responsible to getting messages to end users on time. Ultimately, we help enable our customers to provide relevant, timely, and joyful experiences to their own users.

Our Engineering team works closely with Product, Design, Infrastructure, and SRE to bring next-generation marketing solutions to our massively scalable platform. We believe in building an Engineering culture guided by our company values which you can learn more about here.

You are recognized as a subject matter expert in a particular focus area and consistently demonstrate high-quality, on-time delivery. You take ownership of the full lifecycle of your code — from design through production monitoring and maintenance. One of our core values is a growth mindset and Iterable is a company where everyone can grow. If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description.

You'll get to:

• Execute on core work with minimal guidance in a way that increases team velocity while maintaining high quality
• Break down projects into milestones, provide accurate cost estimates, and proactively keep stakeholders informed
• Architect and develop solutions on a complex platform that reaches millions of users
• Collaborate with frontend, backend, product, and design to conceptualize and build new product features
• Write well-structured, maintainable, documented, and tested code with an eye toward future reuse and modularization
• Diagnose and fix tricky bugs, prevent incidents through appropriate testing, and maintain a track record of drama-free deploys
• Provide in-depth code reviews and contribute to design reviews with respectful, effective communication
• Recognize potential scalability issues, bring them to the Architecture Support Group (ASG), and participate in remediation
• Collaborate actively to unblock teammates, give and receive hard feedback with respect and empathy, and solicit input from people of diverse backgrounds
• Participate in recruiting and develop effective interviewing skills

We are looking for people who have:

• 3+ years of relevant software development experience
• Proficiency in at least one modern programming language (ideally Scala and/or Java)
• Experience building production-ready, scalable web applications
• Experience with Elasticsearch and/or other relevant technologies such as Postgres and data pipeline systems
• Strong interpersonal skills and the ability to collaborate in a highly remote/distributed environment
• Ability to facilitate discussions within your team and cross-functionally
• A desire to be part of a values-driven Engineering team
• Passion for learning — always improving yourself and the team around you
• Willingness to take on-call responsibilities
• Fluency in English (verbal and written)

Our Technology Stack:

• Programming Language: Scala
• Databases: Elasticsearch, Postgres, Redis, CRDB
• Infrastructure: Pulsar, Kafka, AWS
• Other Relevant Technologies: Docker / Kubernetes, React

Bonus Points:

• Experience with end-to-end, integration, and performance testing
• Exposure to enterprise systems

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $114,500 - $188,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

How you will make an impact:

As a Senior Software Engineer at Iterable, you'll be responsible for the core platform used by our growing customer base. Making this platform easy to use and attractive for non-technical users is extremely important. 

Our Engineering team works closely with Product, Design, Infrastructure, and SRE to bring next-generation marketing solutions to our massively scalable platform. We believe in building an Engineering culture guided by our company values which you can learn more about here.

You will be working with the Analytics Application team that provides accurate and actionable insights to our customers so that they can establish a clear understanding of the effectiveness of their marketing efforts. Ultimately, we help enable our customers to provide the most relevant and joyful experiences to their own users.

One of our core values is a growth mindset and Iterable is a company where everyone can grow. If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description.

You’ll get to:

• Own the backend of the product with a huge amount of autonomy
• Architect and develop solutions to scale a complex platform that reaches millions of users
• Collaborate with frontend, backend, product, and design to conceptualize and build new product features
• Provide direction for your team and guide standards across the Engineering organization
• Improve Engineering processes, tooling, and efficiency
• Mentor and guide team members 

We are looking for people who have:

• Relevant industry experience building production-ready, scalable web applications
• Proficiency in at least one modern programming language (ideally Scala and/or Java)
• Experience with Elasticsearch and/or other relevant technologies such as Postgres and data pipeline systems. 
• Ability to facilitate discussions within your team and cross-functionally
• A desire to be part of a values-driven Engineering team
• Passion for learning -- always improving yourself and the team around you

Our Technology Stack:

• Programming Language: Scala
• Databases: Elasticsearch, Postgres, Redis
• Infrastructure: Pulsar, Kafka, AWS
• Other Relevant Technologies: Docker / Kubernetes, React

Bonus Points

• Experience with large-scale performance testing 
• Experience with data processing and advanced methodologies
• Experience with functional programming and the JVM
• Experience using AI IDEs or workflows

The US base salary range for this position at the start of employment is $133,500 - $212,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

Description

Captivation Software is seeking a talented and experienced Software Engineer to join our team. As a Software Engineer, you will be responsible for designing, developing, and implementing complex software capabilities for computer-based systems. Will work closely with other talented engineers to create software solutions that meet the needs of our clients. This position will require onsite customer support in Augusta, GA.

In this role, you will have the opportunity to work with modern tools and technologies, and you will be encouraged to stay up-to-date with the latest developments in the field. You will be part of a dynamic and collaborative team that is committed to delivering high-quality software solutions to our clients. If you are a self-motivated, creative, and detail-oriented software engineer who is passionate about developing innovative software solutions, we would love to hear from you. 

Responsibilities

• Must have a strong working knowledge and experience developing Java based software capabilities. 
• Should have an inquisitive nature, responsiveness, and excellent testing skills. 
• Must also possess strong troubleshooting skills and the ability to work under pressure with multiple deadlines. 
• Will work in a fast-paced, small business environment with our talented team. 
• Other duties as assigned.

Requirements

Security Clearance:

•  Current Secret level U.S. Government security clearance is required; U.S. Citizenship required. Can consider candidates with a current TS level clearance as well. 

Minimum Qualifications:

• At least 5 years of experience in Software Engineering, Modern Java Frameworks and Libraries (e.g. Spring, Guava) and a Bachelors in related field; 3 years relevant experience with Masters in related field; or High School Diploma or equivalent and 9 years relevant experience.
• Experience in designing enterprise APIs.
• Experience in RESTful web services.
• Experience in Microservices architecture.
• Experience in Object Oriented Programming (OOP) paradigms.
• Experience with the agile software lifecycle.
• Has a proven ability to learn quickly and works well both independently as well as in a team setting.
• Experience with the Linux operating system.
• Experience with configuration management tools (e.g. Git, Nexus, Maven).
• Strong communication skills to interact with customers on a daily basis.
• DoD 8570 compliance certification is required (i.e. Security+).
• Must be able to work on customer site in Augusta, GA 2-3 days a week. Flexibility is essential to adapt to schedule changes as needed.

Preferred Qualifications:

• Experience with NiFi, Kafka, AWS Infrastructure, and K8's.
• Experience in cloud based technologies (AWS, Azure).
• Experience in distributed databases, NoSQL databases, full text-search engines (e.g. Elasticsearch, MongoDB, Solr)
• Scripting experience is a huge plus.
• Prior experience or familiarity with our Big Data Platform is a plus.
• Understanding of AGILE software development methodologies and use of standard software development tool suites. (e.g., JIRA, Confluence, Github Enterprise, etc.)

This position is open for direct hires only. We will not consider candidates from third party staffing/recruiting firms.