Senior Service Reliability Engineer

Location: Aliso Viejo | Hybrid 

As a part of Sony Computer Entertainment, the Gaming, Developer and Future Technology Group (GDFT) is leading the cloud gaming revolution, putting console-quality video games on any device, from TVs to consoles to mobile devices and beyond.

Our Service Reliability Engineering team plays a significant role in delivering on the promise of a great cloud gaming experience to our customers.  We do this by influencing design and operational decisions towards the overall stability of the gaming service. Our SREs focus on three main things: overall ownership of production, production code quality, and deployments. The successful candidate will be self-directed and able to participate in the way we make decisions at different levels.

We expect our SREs to have opinions on the state of our service and provide critical feedback during different phases of the operational lifecycle. We are engaged throughout the S/W development lifecycle, ensuring the operational readiness and stability.

Responsibilities

• Taking a leadership role in ongoing improvements in Reliability and Scalability

• Work closely with SRE Management to define KPIs, processes and drive continuous improvement

• Influence the architecture and implementation of solutions within the division

• Mentor more junior SRE staff and enable them for success

• Act as a voice to represent SRE in the wider organization

• Represent the operational scalability of solutions in the wider division

• Lead small-scale projects from inception to implementation

• Design platform-wide solutions and provide technical leadership during their implementation

• Demonstrate a high-level of organizational skills and initiative in the role

Qualifications: 

• Minimum of 7+ years working experience in Software Development and/or Linux Systems Administration role.

• Bachelor’s degree or equivalent expereince

• Strong interpersonal, written and verbal communication skills.

• Available to be scheduled in on-call rotation.

• Proficient as a Linux Production Systems Engineer, with experience managing large scale Web Services infrastructure.

• Development experience in one or more of the following programming languages:

  • Python (preferred)

  • Bash, Go, Java, C++, or Rust

• In addition, experience with at least 3 of the following topics:

  • Distributed data storage at scale (Hadoop, Ceph)

  • NoSQL at scale (MongoDB, Redis, Cassandra)

  • Data Aggregation technologies. (ElasticSearch, Kafka)

  • Scaling and running traditional RDBMS (PostgreSQL, MySQL) with High Availability

  • Monitoring & Alerting (Prometheus, Grafana), and Incident Management toolsets 

  • Kubernetes and/or AWS (deployment and management)

  • Software Distribution (Package management and distribution at scale)

  • Configuration Management (ansible, saltstack, puppet, chef)

  • S/W Performance analysis and load testing (QA or SDET experience: a plus)

Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi, an early member of Open AI.

Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.

About the role:

We are looking for a motivated Data Science Intern to join our team. This role offers hands-on experience working with real-world data, building models, and supporting data-driven decision-making. You will collaborate with data scientists, engineers, and business stakeholders to solve meaningful problems.

What You'll Do :

• Collect, clean, and preprocess structured and unstructured data
• Perform exploratory data analysis to identify trends and insights
• Build and evaluate machine learning models under guidance
• Develop data visualizations and dashboards to communicate findings
• Assist in deploying models and monitoring their performance
• Work with large datasets using tools like Python, SQL, and cloud platforms
• Document processes, experiments, and results clearly
• Participate in team demos, feedback sessions, and learning opportunities.
• This role provides mentorship and exposure to customer-facing technical problem solving in a fast-moving AI/Product environment.

What We're Looking For:

• Enrolled in a Bachelor’s or Master’s degree program in Computer Science, Engineering, or a related field.
• Experience writing code in Python (or another general-purpose language).
• Strong interest in artificial intelligence, machine learning, or software engineering.
• Basic understanding of statistics and machine learning concepts
• Familiarity with libraries such as Pandas, NumPy, Scikit-learn, or TensorFlow/PyTorch
• Experience with SQL and working with databases
• Strong analytical and problem-solving skills
• Excellent communication skills and willingness to collaborate with teammates and customers.

Nice-to-Haves

• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn)
• Familiarity with cloud platforms (AWS, GCP, or Azure)
• Knowledge of version control (Git)
• Exposure to big data tools (Spark, Hadoop) is a plus

This posting will be used to fill a newly-created role.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.  If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.com.

Team Description:

The Data Engineering Team works closely with other teams—neuroscientists, physicists, roboticists, chip designers, pathologists, and mechanical engineers—to build Neuralink’s centralized data aggregation and analysis platform. This data platform collects, organizes, and visualizes a diverse set of data ranging from neural signal recordings and brain histology images to microfabrication manufacturing data. Our team owns projects that drive engineering and experimentation at Neuralink.

We operate like an internal startup – rapidly prototyping and building software that solves problems for the company. If you are obsessed with smooth user experience and love to iterate rapidly on software, you may be a good fit for this role!

 See a talk on our data platform, Neuralake, below:

Job Description and Responsibilities:

As a Software Engineer on the Data Engineering Team, you will have the opportunity to impact engineering and experimentation at Neuralink. You will fully own and drive projects, from interfacing with stakeholders and gathering requirements, to delivering exceptional software. Our ideal candidate has accomplished a record of outstanding achievement in software engineering. Additionally, you will be expected to:

• Build end-to-end data systems to facilitate the easy querying of data
• Build and maintain low-latency pipelines and batch data processing jobs
• Create easy-to-use dashboarding platforms for internal data sharing
• Work directly and iteratively with stakeholders to grow MVPs into mature solutions
• Own the design, development, and testing of software development projects
• Deliver results. You may enjoy thoughtful conversations about problems and perfecting designs, but in the end, you know that what matters is delivering a solution that works
• Be a cross-disciplinary team member. You are excited to work with and learn from software, mechanical, electrical, materials, and biological engineers, as well as neuroscientists. You are comfortable communicating across teams.
• Be resourceful, flexible, and adaptable; no task is too big or too small

Jobs at Neuralink are highly dynamic; depending on your skills and our needs, you may work across a wide range of projects, from interpreting neural data to analyzing histology, developing surgical tools, or creating brand-new BCI approaches. Successful candidates will be highly adaptable, able to deploy core technical and creative skills to tackle a wide range of problems, and have a keen sense of urgency.

Required Qualifications: 

• Most important: Demonstrated leadership in delivering a product or feature, either as a team leader or key contributor
• Evidence of exceptional ability in software engineering
• A bachelor’s degree in Computer Science or equivalent demonstrated work experience
• 1-2 years of experience leading teams and owning the success of a product
• Excellent written and verbal communication skills
• Experience understanding requirements and delivering in an interactive manner
• Experience understanding requirements and delivering iteratively

Preferred Qualifications:

• Experience with building data platforms
• Experience with Python and Rust
• Experience with data analytics systems such as Clickhouse, Delta Lake, Apache Spark, Hadoop, or Snowflake

Note: You do not need to have any of these preferred qualifications in order to be considered for this role! Any exceptional software engineer is encouraged to apply.

Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.

Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.

About the Ads Data Science Team:

The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods. 

We work on a wide range of challenging problems in the areas of ads targeting, relevance modeling, auction optimization, measurement, and user experience. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.

About the Role:

We are looking for a highly motivated and experienced Data Scientist to join our growing Ads Data Science team. As a Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve our understanding of the dynamics that drive the success of our advertising platform, and identify opportunities to accelerate that success. You will work closely with stakeholders across product, engineering, sales, marketing, and data to identify opportunities, define metrics, and build solutions that drive significant impact for Reddit.

Responsibilities:

• Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform
• Develop ML models & DS methods to for improved anomaly detection, prediction, pattern recognition
• Communicate findings and recommendations to stakeholders across the organization
• Collaborate with product, engineering, sales, and marketing partners to define product and program requirements and translate them into data science solutions
• Stay up-to-date on the latest advancements in machine learning and data science

Qualifications:

• Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research
• For M.S. holders: 3+ years of industry experience in applied science or data science roles
• For Ph.D. holders: 2+ years of industry experience in applied science or data science roles
• Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design
• Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery a plus
• Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
• Experience with SQL and relational databases
• Excellent communication and presentation skills
• Passion for Reddit and the online advertising industry

Bonus Points:

• Experience with online advertising and ad tech
• Experience with causal inference and A/B testing
• Contributions to open-source projects or publications in relevant conferences or journals

Benefits:

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Comprehensive Medical Benefits & Health Care Spending Account
• Registered Retirement Savings Plan with matching contributions
• Income Replacement Programs
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

#LI-Remote

[Location: remote-friendly or any office location - SF, LA, CHI, NY]

Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.

Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.

About the Ads Data Science Team:

The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods. 

We work on a wide range of challenging problems in the areas of ads targeting, relevance modeling, auction optimization, measurement, and user experience. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.

About the Role:

We are looking for a highly motivated and experienced Data Scientist to join our growing Ads Data Science team. As a Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve our understanding of the dynamics that drive the success of our advertising platform, and identify opportunities to accelerate that success. You will work closely with stakeholders across product, engineering, sales, marketing, and data to identify opportunities, define metrics, and build solutions that drive significant impact for Reddit.

Responsibilities:

• Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform
• Develop ML models & DS methods to for improved anomaly detection, prediction, pattern recognition
• Communicate findings and recommendations to stakeholders across the organization
• Collaborate with product, engineering, sales, and marketing partners to define product and program requirements and translate them into data science solutions
• Stay up-to-date on the latest advancements in machine learning and data science

Qualifications:

• Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research
• For M.S. holders: 3+ years of industry experience in applied science or data science roles
• For Ph.D. holders: 2+ years of industry experience in applied science or data science roles
• Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design
• Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery a plus
• Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
• Experience with SQL and relational databases
• Excellent communication and presentation skills
• Passion for Reddit and the online advertising industry

Bonus Points:

• Experience with online advertising and ad tech
• Experience with causal inference and A/B testing
• Contributions to open-source projects or publications in relevant conferences or journals

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

#LI-Remote

Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.

Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.

About the Ads Data Science Team:

The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods. 

We work on a wide range of challenging problems in the areas of ads and platform measurement, campaign and creative management, advertiser growth and retention, monetization, and the intersection of brand and community engagement. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.

About the Role:

We are looking for a highly motivated and experienced Senior Data Scientist to join our growing Ads Data Science team. As a Senior Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve the adoption and performance of our advertising platform through data-driven insights. You will work closely with product managers, engineers, and other data scientists to identify opportunities, define metrics, and build solutions that drive significant impact for Reddit.

Responsibilities:

• Design, develop, and apply DS solutions to inform improvements in advertiser experience and Reddit's ad platform
• Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform
• Collaborate with product managers and engineers to define product requirements and translate them into data science solutions
• Develop ML models & DS methods to improve anomaly detection, prediction, & pattern recognition 
• Communicate findings and recommendations to stakeholders across the organization
• Stay up-to-date on the latest advancements in machine learning and data science
• Mentor and guide junior data scientists on the team

Qualifications:

• Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research
• For M.S. holders: 5+ years of industry experience in applied science or data science roles
• For Ph.D. holders: 4+ years of industry experience in applied science or data science roles
• Platform experience and a deep understanding of the ads ecosystem
• Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design
• Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery a plus
• Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
• Experience with SQL and relational databases
• Excellent communication and presentation skills
• Passion for Reddit and the online advertising industry

Bonus Points:

• Experience with online advertising and ad tech
• Experience with causal inference and A/B testing
• Contributions to open-source projects or publications in relevant conferences or journals

Benefits:

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Comprehensive Medical Benefits & Health Care Spending Account
• Registered Retirement Savings Plan with matching contributions
• Income Replacement Programs
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

#LI-Remote

Location: US remote-friendly

Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.

Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.

About the Ads Data Science Team:

The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods. 

We work on a wide range of challenging problems in the areas of ads and platform measurement, campaign and creative management, advertiser growth and retention, monetization, and the intersection of brand and community engagement. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.

About the Role:

We are looking for a highly motivated and experienced Senior Data Scientist to join our growing Ads Data Science team. As a Senior Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve the adoption and performance of our advertising platform through data-driven insights. You will work closely with product managers, engineers, and other data scientists to identify opportunities, define metrics, and build solutions that drive significant impact for Reddit.

Responsibilities:

• Design, develop, and apply DS solutions to inform improvements in advertiser experience and Reddit's ad platform
• Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform
• Collaborate with product managers and engineers to define product requirements and translate them into data science solutions
• Develop ML models & DS methods to improve anomaly detection, prediction, & pattern recognition 
• Communicate findings and recommendations to stakeholders across the organization
• Stay up-to-date on the latest advancements in machine learning and data science
• Mentor and guide junior data scientists on the team

Qualifications:

• Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research
• For M.S. holders: 5+ years of industry experience in applied science or data science roles
• For Ph.D. holders: 4+ years of industry experience in applied science or data science roles
• Platform experience and a deep understanding of the ads ecosystem
• Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design
• Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery a plus
• Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
• Experience with SQL and relational databases
• Excellent communication and presentation skills
• Passion for Reddit and the online advertising industry

Bonus Points:

• Experience with online advertising and ad tech
• Experience with causal inference and A/B testing
• Contributions to open-source projects or publications in relevant conferences or journals

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave  

#LI-Remote

What Impact You’ll Have

GRVTY is a member of 100% of the winning teams for the largest technology program in the Intel Community. We've been supporting this customer on many different sub-projects of this program since our founding in 2013. We've grown on this effort by providing the customer with Engineers who have done exceptional work, and we've retained our staff by paying very strong salaries, and working hard to ensure each Engineer is doing work that aligns with their career interest.

What You’ll Be Owning

GRVTY is seeking a Software Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Chantilly, VA. Looking for a full stack developer supporting a backend development team focused on middleware and backend services.

What You Must Have

• Active TS/SCI with Polygraph Clearance
• College degree in Computer Science or equivalent technical degree
• Minimum of 5 years of hands-on, back-end Java development experience (not Javascript or Springboot) implementing code that undergoes code reviews, unit testing, integration testing and deployed to a production environment
• Minimum of 3 years of experience in a big data environment using tools such as Hadoop, Pyspark, Spark, and Hbase (prefer at least two of the list)
• Intermediate to Expert level experience in Solr or Elastic Search (minimum 3 years)
• Performing schema updates
• Possessing significant knowledge & experience in submitting Lucene queries
• Possessing significant knowledge & experience on how Solr/Elastic shards work
• Possessing significant experience tuning Solr/Elastic for performance and query optimization

What Would Be Nice to Have

• Demonstrated experience working with several AWS services.
• Demonstrated experience with JIRA and GITHUB.

About Lineate

Lineate is a US-based international software development company with over two decades of experience.

From Intelligent Document Processing(IDP) and Agentic RAG systems to scalable cloud architectures, we turn complex ideas into real, measurable results.

We deliver AI-driven custom solutions for FinTech, HealthTech, AdTech, and beyond, empowering businesses to grow smarter, faster, and more efficiently.

Our expertise falls into three main categories:

• Building Custom AI Solutions: Deploying high-impact, AI-enabled technology utilizing IDP, Agentic RAG.
• Cloud and Data Infrastructure: Optimizing business operations with our data management and cloud computing solutions.
• Team Augmentation: Providing specialized experts in FinTech, AdTech, and HealthTech to integrate seamlessly and accelerate project timelines.
• Our goal is not just to build technology, but to build the future operating model for our clients.

Responsibilities

• Design, develop, and maintain scalable backend services using Java and Python
• Build and optimize data processing pipelines and APIs for high-performance applications
• Collaborate with cross-functional teams to deliver reliable and efficient solutions
• Improve system performance, scalability, and reliability
• Work with large datasets to support search, recommendation, or ML-driven features
• Contribute to architecture decisions and technical design
• Write clean, maintainable, and well-documented code

Requirements (Must-have)

• 6+ years of commercial software development experience
• Strong hands-on experience with both Java and Python (primarily PySpark code)
• Experience in designing, developing, and optimizing scalable data processing pipelines and backend APIs for high-performance applications
• Solid understanding of backend development principles and system design
• Experience working with APIs, microservices, and distributed systems

Nice-to-have

• Databricks OR AWS EMR OR Hadoop
• Search technologies experience, such as:

Lexical search (e.g., Solr, Elasticsearch)

Semantic search, vector search, or RAG-based systems

Search relevance tuning and optimization

• Machine Learning experience, especially in:

Recommendation systems

User behavior prediction (e.g., click-through rate prediction, relevance estimation)

Practical ML application in production systems

We offer:

• B2B contract with our US office
• NY working hours (at least 6 hours overlap)

About Lineate

Lineate is a US-based international software development company with over two decades of experience.

From Intelligent Document Processing(IDP) and Agentic RAG systems to scalable cloud architectures, we turn complex ideas into real, measurable results.

We deliver AI-driven custom solutions for FinTech, HealthTech, AdTech, and beyond, empowering businesses to grow smarter, faster, and more efficiently.

Our expertise falls into three main categories:

• Building Custom AI Solutions: Deploying high-impact, AI-enabled technology utilizing IDP, Agentic RAG.
• Cloud and Data Infrastructure: Optimizing business operations with our data management and cloud computing solutions.
• Team Augmentation: Providing specialized experts in FinTech, AdTech, and HealthTech to integrate seamlessly and accelerate project timelines.
• Our goal is not just to build technology, but to build the future operating model for our clients.

Responsibilities

• Design, develop, and maintain scalable backend services using Java and Python
• Build and optimize data processing pipelines and APIs for high-performance applications
• Collaborate with cross-functional teams to deliver reliable and efficient solutions
• Improve system performance, scalability, and reliability
• Work with large datasets to support search, recommendation, or ML-driven features
• Contribute to architecture decisions and technical design
• Write clean, maintainable, and well-documented code

Requirements (Must-have)

• 6+ years of commercial software development experience
• Strong hands-on experience with both Java and Python (primarily PySpark code)
• Experience in designing, developing, and optimizing scalable data processing pipelines and backend APIs for high-performance applications
• Solid understanding of backend development principles and system design
• Experience working with APIs, microservices, and distributed systems

Nice-to-have

• Databricks OR AWS EMR OR Hadoop
• Search technologies experience, such as:

Lexical search (e.g., Solr, Elasticsearch)

Semantic search, vector search, or RAG-based systems

Search relevance tuning and optimization

• Machine Learning experience, especially in:

Recommendation systems

User behavior prediction (e.g., click-through rate prediction, relevance estimation)

Practical ML application in production systems

We offer:

• B2B contract with our US office
• NY working hours (at least 6 hours overlap)

The AI Platform team is building the unified platform that enables machine learning at a massive scale across all products and services. As a Senior Engineering Manager for the AI Platform, Data team, you will lead the development of the high-leverage data platform used by AI engineers, machine learning scientists, and product developers. You will be responsible for defining the long-term vision, strategy, and execution for the data foundation that powers the next generation of AI-driven products. This includes work on cutting-edge technologies like vector databases and knowledge graphs to enhance our data capabilities for advanced AI use cases.

You Will:

• Lead and grow a high-performing team of software engineers, fostering a culture of ownership, collaboration, and engineering excellence.
• Define the roadmap, strategy, and execution plan for the GenAI Platform which handles LLM and agent infrastructure.
• Collaborate with AI engineering, machine learning science, and product teams to understand their data needs and deliver platform capabilities that accelerate development and deployment of traditional AI and Generative models. 
• Drive architectural decisions and set technical standards for reliability, scalability, and performance
• Oversee the end-to-end development life cycle, ensuring timely delivery of high-quality, robust data solutions.
• Mentor and coach team members, providing continuous feedback and career development guidance.
• Manage cross-functional projects and communicate progress, risks, and challenges to leadership and stakeholders.

You Are:

• A seasoned engineering leader with 5+ years of management experience and 8+ years of experience building large-scale, high-performance data platforms, machine learning infrastructure, or distributed systems.
• Experienced in hiring, managing, and mentoring senior software engineers and technical leaders.
• Deeply knowledgeable about data technologies (e.g., Spark, Hadoop, Flink, Kafka, distributed databases, data warehousing) and best practices for large-scale data processing and storage.
• Skilled at driving technical strategy and roadmap planning in ambiguous and fast-paced environments.
• Able to establish strong, collaborative relationships with cross-functional partners and senior leadership.
• Passionate about fostering a positive, inclusive, and high-energy engineering culture.
• Knowledgeable in the machine learning life cycle (MLOps) and the data requirements for training, serving, and monitoring models.
• A strong communicator, both written and verbal, capable of articulating complex technical concepts to a diverse audience.

Preferred Qualifications

• A BS, MS, or PhD in Computer Science, or a related technical field.
• Experience with cloud-based data solutions (e.g., AWS, GCP, Azure).
• Experience with real-time data processing and stream computing technologies.

As a Principal Software Engineer on Creator Services Data, you’ll be leading the company’s efforts to build the next generation Data Storage systems to power the millions of experiences on the Roblox Platform.  We run the mission critical cloud services, Data Stores, Memory Stores, and Badges, which are crucial for storing game state such as inventory and scores, implementing leaderboards, server lists, and trading, and tracking player progress and achievements.  Our team is also responsible for building dashboards to provide insights to Creators using cloud services including Client/Server Performance, Data Stores, and Memory Stores.  Finally, our team owns the Roblox Extended Services platform, which provides the capability for large experiences to purchase additional resources for existing services like Data Stores and new services built around compute and generative AI.

At its core, this team is focused on solving complex back end distributed systems and storage problems at scale.  However, our scope extends to full stack projects spanning all the way from the infrastructure layer, through data storage and data pipelines, microservices, telemetry, game servers, web development, UI, and UX design.  This team collaborates on multiple cross-company efforts and our projects are of extremely high importance to Roblox.  

You Will:

• Lead the design and development of improvements to existing products and design new cloud services to support our Creator Community.
• Build state-of-the-art data storage systems including infrastructure, serving layers, clients, and web APIs.
• Expand the internal and customer facing cloud service observability capabilities through metrics collection, data pipelines, intelligent analytics, data visualization, and dashboards.
• Increase the capabilities and onboard new customers to the Roblox Extended Services platform.
• Work with our users (Creators) to identify product gaps and bugs and handle customer emergencies.
• Provide on-call support for our Data products including responding to production alerts and outages.
• Mentor junior engineers and provide technical and non-technical guidance through design and code reviews, joint projects, 1:1s, and peer feedback.
• Lead collaborations on a cross-functional team including UX design, product management, project management, developer relations, documentation, customer support, and other engineering teams.
• Become a recognized technical leader across the company and contribute to company-wide initiatives.

You Have:

• 10+ years background in software development building with public clouds (AWS, Azure, and GCP), microservices and distributed systems
• 3+ years experience building and maintaining (not just using) data storage systems (relational databases, key/value stores, blob stores, etc)
• 10+ years designing, implementing, testing, and deploying robust, scalable, and well documented production-grade code
• 6+ years programming in C# and/or C++ (ideally both)
• 6+ years experience working on agile, fast-paced, high-impact software teams
• 4+ years leading junior engineers and new graduates on complex software engineering projects

Desired (one or more of)

• Prior experience building big data pipelines or batch processing systems (MapReduce, Hadoop, Flink, Spark, Flume)
• Prior experience programming computer games, particularly in Lua/Luau
• Prior knowledge of data science, data analytics, machine learning, or AI
• Prior experience building graphical user interfaces, dashboards, or web application front ends

You Are:

• Innovative: We strive for novel solutions that bridge the technical needs of Roblox with the creative needs of our developer community. This typically involves tackling competing objectives and thinking creatively.
• Passionate: We are looking for new team members who are passionate about data storage technology, computer games, and software development. We are excited about building new products that will redefine the future of human online interaction.
• Versatile: The Data Pod is expanding its scope beyond providing low level storage solutions to building higher level services such as User Profiles and LiveOps Analytics. We are also working on projects such as Observability and Billing & Payments platforms. You need to be ready to learn new programming languages and tech stacks as we evolve.
• Responsible: Data Storage services cannot go down and cannot lose data. You are committed to join a team that strives for a 100% uptime and data durability.
• Team Oriented: You are ready to both guide and learn from others. You will set the standard on team collaboration and communication. You exemplify Roblox Values and Principles.

What You’ll Do:

As a Senior Backend Engineer on the Avatar Marketplace team, you will be building an international marketplace for millions of virtual items that users acquire to customize their avatars and identities on the Roblox platform. You will design, implement, and operate the frameworks and services you and the team build that help control the supply and demand of the Roblox economy.

The team is responsible for building systems that will help content creators become more successful sellers. With millions of users, we are looking for an experienced engineer who is passionate about designing and building scalable systems for both sides of the marketplace. The Marketplace Foundation team's focus is to provide reliable and scalable solutions for critical systems supporting both Avatar Marketplace creators and users. 

We aim to invent new and evolve existing core concepts to support new and future use cases in a holistic manner, such as Bundles, Limiteds, and Price Optimization. We help the creators to improve their earning while scaling Roblox's economy. The team is also responsible for ensuring 10x scalability headroom on critical Marketplace systems, improving the efficiency, enhancing fault tolerance and decreasing the number and time to resolution of production customer support tickets related to these systems. 

You will:

• Design and architect scalable, reliable, and fault-tolerant distributed systems, including microservices, message queuing systems, distributed databases, and cloud-based solutions.
• Implement high-quality and dependable code with thorough unit and integration tests.
• Develop backend systems to ensure the seamless and efficient operation of our services.
• Troubleshoot and resolve intricate technical issues within distributed systems.
• Optimize system performance, minimize latency, and maximize throughput.
• Collaborate effectively with cross-functional teams, including product managers, research scientists, and other engineering teams.
• Mentor and guide junior engineers, fostering continuous learning and professional development.
• Actively participate in code reviews, architectural discussions, and technical design sessions.
• Establish and advocate for best practices throughout the software development lifecycle.

You Have:

• 6+ years of professional experience in software development, with a significant focus on distributed systems.
• A deep understanding of core distributed systems concepts, including the CAP theorem, consistency models, concurrency control, fault tolerance, and consensus algorithms (Paxos, Raft, PBFT).
• Proficiency in one or more systems programming languages such as C#, Go, Rust, Java, C++, or Python.
• Strong practical experience with containerization (Docker) and orchestration tools (Kubernetes, Terraform, Helm).
• Experience with big data technologies such as Hadoop, Spark, and Kafka, and distributed databases like Cassandra and MongoDB.
• Familiarity with monitoring and observability tools such as Grafana, Datadog, Prometheus, and the ELK stack.
• Strong analytical and problem-solving abilities, with a proactive approach to identifying and resolving complex challenges.
• Experience defining technical vision and providing technical leadership.
• A willingness to embrace new technologies and a passion for continuous learning.

ABOUT THE TEAM

Anduril Maritime delivers platforms, systems, and integrated effects in the maritime domain. Our autonomous vehicles (sub-surface and surface) are the cornerstone of these capabilities, and we continually strive to push the boundaries of the possible in terms of endurance, autonomy and mission capability. The Maritime team develops and maintains core products and payloads, and adapts and applies those products to serve a wide variety of defense, IC and commercial customers in US and international markets.

ABOUT THE JOB

As a Software Engineer, Data Engineering on the Maritime Digital Production team, you will build the high-throughput data systems that connect design, manufacturing, and operations into a unified digital thread. You’ll design and implement scalable data architectures that move and transform massive datasets efficiently, supporting everything from geometry access to live production analytics.

In this role, you’ll develop high-performance data access layers and scalable databases, integrate information from systems such as PLM, ERP, and MES, and ensure seamless, reliable data flow across the enterprise. You’ll continuously monitor and optimize performance to meet the demands of real-time, high-speed data operations, and maintain strong documentation to keep the system transparent and auditable.

You’ll work closely with software engineers, data scientists, and manufacturing technologists across Anduril in a high-tech, fast-paced culture of innovation. If you’re driven to build data systems that are fast, resilient, and deeply connected to real-world production, you’ll be helping build the future of digital shipbuilding and the next generation of maritime vehicles.

WHAT YOU'LL DO

• Design and Implement Data Access Layers: Develop high-performance data access layers to handle massive datasets, ensuring quick and efficient data retrieval and processing.
• Database Design and Management: Design, implement, and maintain scalable databases suitable for high-speed, high-throughput data operations.
• Data Integration: Integrate data from various business systems including PLM, ERP, and MES, ensuring seamless and efficient data flow.
• Performance Optimization: Monitor and optimize the performance of data access layers and databases to meet the demands of large-scale, real-time data processing.
• Collaborate with Cross-Functional Teams: Work closely with software engineers, data scientists, and other stakeholders to ensure the data architecture supports various applications and analytical needs.
• Maintain Documentation: Write and maintain comprehensive documentation for data access layers, databases, and data integration processes.

REQUIRED QUALIFICATIONS

• Proficiency in database management systems (e.g., SQL, NoSQL databases like MongoDB, Cassandra).
• Experience with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery).
• Strong understanding of data architecture principles and best practices.
• Proficiency in programming languages used for data engineering (e.g., Python, Java, Scala).
• Experience with big data technologies (e.g., Hadoop, Spark).
• Familiarity with cloud platforms and services (e.g., AWS, Azure, GCP).
• Strong problem-solving skills and ability to handle large volumes of data.
• Excellent collaboration and communication abilities.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

PREFERRED QUALIFICATIONS

• Previous experience in a manufacturing or industrial setting.
• Experience with real-time data processing and stream processing technologies (e.g., Kafka, Flink).
• Knowledge of data governance and data quality management practices.
• Familiarity with containerization (Docker) and orchestration (Kubernetes).

ABOUT THE TEAM

Anduril Labs is a multidisciplinary team of technologists, solution architects, engineers, and military subject matter experts. Its mission is to drive innovation across all Anduril business units and product lines by developing novel concepts and next-generation technologies that enhance Anduril’s competitive edge and give its customers a decisive technological advantage over its adversaries.

ABOUT THE JOB

We are looking for a talented full stack software engineer to join our growing team at Anduril Labs in Washington, DC. As a full stack software engineer in Anduril Labs, you will help bring innovative, next-generation concepts to life through proof-of-concept development and rapid prototyping using bleeding edge technologies.

The ideal candidate has exceptional software development and creative problem-solving skills, is a self-starter, and can quickly grasp complex concepts. As a full stack software engineer, you possess the skills to architect, develop, and deploy distributed applications and services, including both front-end and back-end components. You have experience with agile, end-to-end software development lifecycle and are comfortable developing and deploying code across Windows and Linux-based systems (including standalone bare-metal hardware, virtualized environments, and cloud-hosted platforms). Embedded software development experience is a plus. You are also proficient in integrating legacy code and systems, leveraging open-source technologies, and developing and utilizing APIs. Additionally, you have a solid understanding of AI/ML core concepts (e.g., feature extraction, supervised vs. unsupervised learning, regression, classification, clustering, deep learning neural networks, NLP, LLMs, SLMs, model fine-tuning, prompt engineering, RAG) and hands-on experience developing (Gen)AI-enhanced applications or services.

We also expect candidates to have familiarity with database technologies (e.g., SQL, NoSQL, Graph DB, Vector DB) and experience with data modeling, data wrangling, analytics, and visualization. Since Anduril Labs supports all Anduril businesses and product lines, you will have the unique opportunity to work closely with multi-disciplinary engineering and product development teams across the entire company. This means you will get to directly contribute to the development of Anduril’s next-generation products and services. So if you thrive in a dynamic environment that values creative problem-solving, love writing code, excel as both an individual contributor and team player, are eager to learn, and bring a can-do attitude, this role is for you.

WHAT YOU’LL DO

• Lead the development of prototypes to demonstrate advanced concepts in areas like autonomous and multi-agent systems, GenAI, advanced data analytics, quantum computing/sensing/networking/comms/machine learning, modeling, simulation, optimization, visualization, next-gen human-machine interfaces, heterogenous computing, and cybersecurity.
• Own the entire Software Development Lifecycle from inception through development, testing, deployment, and documentation for Anduril Labs-developed software prototypes.
• Interface and collaborate with other Anduril and customer engineering teams, and strategic partners.
• Support Anduril- and customer-funded R&D efforts.
• Participate in field experiments and technology demonstrations.

REQUIRED QUALIFICATIONS

• 3+ years of programming with Python, C++, Java, Rust, Go, or JavaScript/TypeScript.
• Proven software architecture and design skills.
• Ability to quickly understand and navigate complex systems and established codebases.
• AI/ML development using commercial and open-source AI frameworks, models, and tools (e.g., Jupyter Notebook, PyTorch, TensorFlow, Scikit-learn, OpenAI, Claude, Gemini, Llama, LangChain, YOLO, AWS Sagemaker, Bedrock, Azure AI, RAG).
• Web app development (e.g., React, Angular, or Vue).
• Cloud development (e.g., AWS, Azure, or GCP).
• Data modeling and wrangling.
• Networking basics (e.g., DNS, TCP/IP vs. UDP, socket communications, LDAP, Active Directory)
• Database technologies (e.g., SQL, NoSQL, Graph DB, Vector DB).
• API development and integration (e.g., REST, GraphQL).
• Containerization technologies (e.g., Docker, Kubernetes).
• Software development on Linux and Windows.
• Demonstrable hands-on experience using GenAI tools (e.g., OpenAI Codex, Claude Code, Gemini Code Assist, GitHub Copilot, Amazon CodeWhisperer, or similar) for software development, code generation, debugging, and algorithmic exploration.
• Experience with Git version control, build tools, and CI/CD pipelines.
• Demonstrated understanding and application of software testing principles and practices, including unit testing, integration testing, and end-to-end testing.
• Strong problem-solving skills, meticulous attention to detail, and the ability to work effectively in a collaborative team environment.
• Excellent communication and interpersonal skills, with the ability to effectively articulate complex technical concepts to diverse audiences.
• Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance

PREFERRED QUALIFICATIONS

• BS in Computer Science, Engineering, or similar field.
• Distributed applications development (e.g., client/server, microservices, multi-agent solutions).
• High performance computing (HPC) and big data technologies (e.g., Apache Spark, Hadoop).
• Mobile app development (e.g., iOS or Android).
• Embedded software development experience.
• Willingness to travel up to approximately 10%

What You'll be Owning

GRVTY is seeking a Cloud Software Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Annapolis Junction, MD. The Cloud Software Engineer develops, maintains, and enhances complex and diverse Big-Data Cloud systems based upon documented requirements. Directly contributes to all stages of back-end processing, analyzing, and indexing. Provides expertise in Cloud Computing, Hadoop Eco-System including implementing Java applications, Distributed Computing, Information Retrieval (IR), and Object Oriented Design. Works individually or as part of a team. Reviews and tests software components for adherence to the design requirements and documents test results. Resolves software problem reports. Utilizes software development and software design methodologies appropriate to the development environment. Provides specific input to the software components of system design to include hardware/software trade-offs, software reuse, use of Commercial Off-the-shelf (COTS)/Government Off-the-shelf (GOTS) in place of new development, and requirements analysis and synthesis from system level to individual software components.

What You Must Have

• Active TS/SCI with Polygraph Clearance
• Experience with at least a subset of the following: Devops, Elastic Search, NiFi, Python, Java/Spring Boot, Angular
• Eight (8) years experience software engineering experience in programs and contracts of similar scope, type, and complexity is required; two (2) years of which must be in programs utilizing Big-Data Cloud technologies and/or Distributed Computing. Bachelors degree in Computer Science or related discipline from an accredited college or university is required. Four (4) years of cloud software engineering experience on projects with similar Big-Data systems may be substituted for a bachelors degree. Master in Computer Science or related discipline from an accredited college or university may be substituted for two (2) years of experience. Cloudera Certified Hadoop Developer certification may be substituted for one (1) year of Cloud experience.
• The following Cloud related experiences are required:
• Two (2) years of Cloud and Distributed Computing Information Retrieval (IR).
• One (1) year of experience with implementing code that interacts with implementation of Cloud Big Table.
• One (1) year of experience with implementing code that interacts with implementation of Cloud Distributed File System.
• One (1) year of experience with implementing complex MapReduce analytics.
• One (1) year of experience with implementing code that interacts with Cloud Distributed Coordination Frameworks.
• Experience with Computer Network Operations: Utility Computing, Network Management, Virtualization (VMWare or VirtualBox), Cloud Computing 2. Multi Node Management and Installation: Management and installation of Cloud and Distributed Computing on multiple nodes, Python, CFEngine, Bash, Ruby or related technologies.
• Experience with Information Assurance: Securing Cloud Based and Distributed applications through industry standard techniques such as Firewalls, PKI Certificate and Server Authentication with experience in Corporate authentication service(s)
• Experience with Information Technology:
• Object Oriented Design and Programming, Java, Eclipse or similar development environment, MAVEN, RESTful web services.
• Cloud and Distributed Computing Technologies: at least one or a combination of several of the following areas - YARN, J2EE, MapReduce, Zookeeper, HDFS, HBase , JMS, Concurrent Programming, Multi-Node implementation/installation and other applicable technologies.
• Cloud and Distributed Computing Information Retrieval: at least one or a combination of several of the following areas - HDFS, HBASE, Apache Lucene, Apache Solr, MongoDB
• Ingesting, Parsing and Analysis of Disparate Data-sources and formats: XML, JSON, CSV, Binary Formats, Sequence or Map Files, Avro and related technologies
• Aspect Oriented Design and Development
• Debugging and Profiling Cloud and Distributed Installations: Java Virtual Machine (JVM) memory management, Profiling Java Applications
• UNIX/LINUX, CentOS
• Experience with SIGINT:
• Experience with at least one SIGINT collection discipline areas (FORNSAT, CABLE, Terrestrial/Microwave, Overhead, and ELINT) Geolocation, emitter identification, and signal applications. 3. Joint program collection platforms and dataflow architectures; signals characterization analysis
• Experience with Other:
• CentOS and Linux/RedHat
• Configuration management tools such as Subversion, ClearQuest, or Razor

What Would Be Nice to Have

• Provide in-depth knowledge of Information Retrieval; assisting the software development team in designing, developing and testing Cloud Information Retrieval
• Implement complex workflows that manage Cloud MapReduce analytics
• Implement code that interacts with Cloud Distributed Coordination Frameworks
• Oversee one or more software development tasks and ensures the work is completed in accordance with the constraints of the software development process being used on any particular project
• Make recommendations for improving documentation and software development process standards

About the Role:

We are seeking an experienced Principal Software Engineer (Data) to join our fast-paced, collaborative data team. In this role, you will have broad authority to drive the direction of our technographic data services, building world-class data pipelines and systems to process billions of signals and data points. This is an exciting opportunity to solve challenging problems and make a big impact as we invest in making technographics a first-class offering.

What You'll Do:

• Build and optimize big data pipelines to extract and process signals from the web, job postings, and other sources
• Design and implement data architectures and storage solutions to efficiently handle massive data volumes
• Collaborate closely with data scientists to support and integrate ML models into data workflows
• Continuously improve data quality, performance, and scalability of our technographic data platform
• Drive technical strategy and roadmap for the data processing infrastructure.

What We're Looking For:

• Extensive experience building and scaling big data pipelines and architectures from scratch
• Deep expertise in big data frameworks (Hadoop, Spark) and the JVM stack (Java, Scala)
• Strong software engineering fundamentals and ability to write efficient, high-quality code
• Experience with entity recognition and NLP techniques a plus
• Proven track record delivering results and driving projects in a fast-paced environment
• Excellent collaboration and communication skills to work with data scientists, analysts and product teams
• Passion for leveraging huge datasets to power valuable insights.

Ideal Background:

• 10+ years of experience in software engineering roles.
• Experience working with very large datasets and distributed systems
• Familiarity building data pipelines at large tech companies or data-driven organizations
• Bachelor's or advanced degree in Computer Science, Engineering or related technical field.

#LI-SK1

#LI-Remote

As a Sr. Solutions Architect at Databricks within the Field Engineering org, you will partner with our customers to design scalable data architectures using Databricks technology and services. You have technical depth and business knowledge, and can drive complex technology discussions that express the value of the Databricks platform throughout the sales lifecycle. In partnership with our Account Executives, you will engage with our customers' technical leads, including architects, engineers, and operations teams, with the goal of establishing yourself as a trusted advisor to achieve tangible outcomes. You will work with teams across Databricks and our executive leadership to represent your customers' needs, build valuable customer engagements, and report to the Field Engineering Manager.

The impact you will have:

• You will work with Sales and other essential partners to develop account strategies for your assigned accounts to grow their usage of the platform.
• Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning.
• You will build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals to land new users and use cases.
• Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out the Databricks technology for strategic customer projects; and validate integrations with cloud services and other 3rd party applications.
• Become an expert in and promote Databricks-inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars.

What we look for:

• 8+ years in a customer-facing pre-sales or consulting role with expertise in at least one of the following technologies:
• Big data engineering (Ex: Spark, Hadoop, Kafka)
• Data Warehousing & ETL (Ex: SQL, OLTP/OLAP/DSS)
• Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO)
• Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more)
• Experience translating a customer's business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business.
• Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures.
• Fluent in SQL and database technology.
• Debug and development experience in at least one of the following languages: Python, Scala, Java, or R.
• [Desired] Built solutions with public cloud providers such as AWS, Azure, or GCP
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• Travel to customers in your region up to 30% of the time.

FEQ127R316

As a Specialist Solutions Architect (SSA) - Cloud Infrastructure & Platform, you will guide customers in the administration and security of their Databricks deployments for a variety of our customers. You will be in a customer-facing role, working with and supporting Solution Architects, which requires hands-on production experience with public cloud - AWS, Azure, and GCP.  SSAs help customers with the design and successful implementation of essential workloads while aligning their technical roadmap to expand the use of the Databricks Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs, and establish yourself in an area of specialty - whether that be cloud deployments, security, networking, or more.

The impact you will have:

• Provide technical leadership to guide strategic customers to the successful administration of Databricks, ranging from design to deployment
• Architect production-level deployments, including meeting necessary security and networking requirements 
• Become a technical expert in an area such as cloud platforms, automation, security, networking, or identity management
• Assist Solution Architects with more advanced aspects of the technical sale, including custom proof of concept content and custom architectures
• Provide tutorials and training to improve community adoption (including hackathons and conference presentations)
• Contribute to the Databricks Community

What we look for:

• 5+ years of experience in a technical role with expertise in at least one of the following:
• Cloud Platforms & Architecture: Cloud Native Architecture in CSPs such as AWS, Azure, and GCP, Serverless Architecture.
• Security: Platform security, Network security, Data Security, Gen AI & Model Security, Encryption, Vulnerability Management, Compliance. 
• Networking: Architecture design, implementation, and performance
• Identify management: Provisioning, SCIM, OAuth, SAML, Federation
• Platform Administration: High availability and disaster recovery, cluster management, observability, logging, monitoring, audit, and cost management
• Infrastructure Automation and InfraOps with IaC tools like Terraform
• Maintain and extend the Databricks environment to adapt to evolving complex needs.
• Deep Specialty Expertise in at least one of the following areas:
• Security - understanding how to secure data platforms and manage identities
• Complex deployments
• Public Cloud experience - experience designing data platforms on cloud infrastructure and services, such as AWS, Azure, or GCP, using best practices in cloud security and networking.
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience.
• Hands-on experience with Python, Java, or Scala, and proficiency in SQL, and Terraform experience are desirable.
• 2 years of professional experience with Big Data technologies (Ex: Spark, Hadoop, Kafka) and architectures
• 2 years of customer-facing experience in a pre-sales or post-sales role
• Can meet expectations for technical training and role-specific outcomes within 6 months of hire
• This role can be remote, with travel up to 30% when needed

About the Role

You are a Data Engineer, who is passionate about writing beautiful code and building great products. You have an intuitive sense of the right tools and frameworks to use to solve a given problem. You are not afraid to traverse the entire spectrum of the development process from writing code and testing to deploying and managing your systems in production. You are smart but know that there is no substitute for hard work. You have good communication skills, a ‘can do’ entrepreneurial attitude, and a team-oriented mindset.

Key Responsibilities

• Design and build data transformations efficiently and reliably for different purposes (e.g. reporting, growth analysis, multi-dimensional analysis)

• Design and implement reliable, scalable, robust and extensible big data systems that support core products and business

• Establish strong engineering design standards and best practices for both technical and non-technical stakeholders

Required Qualifications and Must-Have Skills

• BS/MS degree in Computer Science or related technical field or equivalent practical experience

• Experience in the Big Data technologies (Hadoop, M/R, Hive, Spark, Flink, Metastore, Presto, Kafka etc.)

• Experience with performing data analysis, data ingestion and data integration

• Experience with ETL (Extraction, Transformation & Loading) and architecting data systems

• Experience with schema design, data modeling and SQL queries

• Hands-on experience using modern AI coding assistants (e.g., Claude Code, Windsurf, or equivalent) to design, implement, and optimize data pipelines and large-scale data processing systems

• Passionate and self-motivated about technologies in the Big Data area

Nice to Have Skills

• Experience with Django framework

• Exposure to AWS

Interpersonal Attributes

• You can work independently as well as part of a team

• You take ownership of projects and drive them to conclusion

• You’re a good communicator and are capable of not just doing the work, but teaching others and explaining the “why” behind complicated technical decisions

• You can present your architecture and designs to cross teams

• You aren’t afraid to roll up your sleeves: This role will evolve over time, and we’ll want you to evolve with it!

Base Salary Range: $179,400.00 - $263,120.00. The base salary range represents the anticipated low and high end of the base salary range for this position. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location and experience. The base salary is one component of 6sense’s total compensation package for this position. Other compensation may include a bonus program or commission plan, and stock options if approved by 6sense’s board. In addition, 6sense provides a variety of benefits, including generous health insurance coverage, life, and disability insurance, a 401K employer matching program, paid holidays, self-care days, and paid time off (PTO). #Li-remote

Notice of Collection and Use of Personal Information for California Residents: California Recruitment Privacy Notice and Policy

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

Job Description:

We are seeking a Cloud Software Engineer to develop, maintain, and enhance complex and diverse Big-Data Cloud systems based upon documented requirements. In this role, you will directly contribute to all stages of back-end processing, analyzing, and indexing. The ideal candidate for this role will offer enterprise JAVA development experience on cloud platforms and have extensive experience in Cloud Computing, Hadoop Eco-System including implementing Java applications, Distributed Computing, Information Retrieval (IR), and Object-Oriented Design. Please consider applying if you have the following required qualifications and experience.

Required Qualifications:

• TS/SCI with polygraph security clearance.
• Eight (8) years of experience software engineering experience in programs and contracts of similar scope, type, and complexity is required; two (2) years of which must be in programs utilizing Big-Data cloud technologies and/or Distributed Computing. A bachelor’s degree in computer science or related discipline from an accredited college or university is required. Four (4) years of cloud software engineering experience on projects with similar Big-Data systems may be substituted for a bachelor’s degree for a total of twelve (12) years of experience. Master’s degree in computer science or related discipline from an accredited college or university may be substituted for two (2) years of experience. Cloudera Certified Hadoop Developer certification may be substituted for one (1) year of Cloud experience.
• The following Cloud related experience is required:
  • Two (2) years of Cloud and/or Distributed Computing Information Retrieval (IR).
  • One (1) year of experience with implementing code that interacts with implementation of Cloud Big Table.
  • One (1) year of experience with implementing code that interacts with implementation of Cloud Distributed File System.
  • One (1) year of experience with implementing complex MapReduce analytics.
  • One (1) year of experience with implementing code that interacts with Cloud Distributed Coordination Frameworks.
• Experience in Utility Computing, Network Management, Virtualization (VMWare or VirtualBox), and/or Cloud Computing.
• Experience in multi-node management and installation to include management and installation of Cloud and Distributed Computing on multiple nodes, Python, CFEngine, Bash, Ruby or related technologies.
• Experience in information assurance to include securing cloud-based and distributed applications through industry standard techniques such as Firewalls, PKI Certificate, and Server Authentication with experience in corporate authentication service(s). 
• Experience in information technology to include Object Oriented Design and Programming, Java, Eclipse (or similar development environment), MAVEN, and RESTful web services.
• Experience with debugging and profiling cloud and distributed installations to include Java Virtual Machine (JVM) memory management, profiling Java applications, UNIX/LINUX, and/or CentOS.
• Experience ingesting, parsing, and analysis of Disparate Data-sources and formats to include XML, JSON, CSV, Binary Formats, Sequence or Map Files, Avro, and related technologies.

What Impact You’ll Have

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

What You’ll Be Owning

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

What You Must Have

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

Overview

The Marketing Enablement & Technology (MET) team sits within Instacart's Marketing organization, building the systems, data pipelines, and platforms powering Instacart's growth. Operating at the intersection of Marketing, Product, and Engineering, we own the platforms behind campaign feeds, audience targeting, event pipelines, and QA automation. We're seeking a Senior Software Engineer for the Technical Search Visibility pod to lead initiatives that enhance Instacart's search engine visibility and drive organic traffic — one of our most substantial growth levers. You'll design scalable systems improving SEO performance across millions of web pages, architect robust data pipelines, and work across the full stack to ensure our platform is discoverable by millions of users. You'll lead projects end-to-end, drive technical direction, mentor engineers, and partner closely with Marketing and Product leadership to shape technical and product strategy.

About the Job

• Lead complete SEO and AEO projects independently, defining experimentation, development, and rollout strategies across multiple systems with minimal guidance.
• Design, build, and ship high-quality full-stack features that enhance search engine visibility, AI answer engine performance, and organic traffic with urgency, efficiency, and ownership.
• Architect scalable, robust solutions applying deep technical knowledge to optimize for traditional search rankings, LLM visibility, user experience, performance, and cost efficiency.
• Design and maintain efficient data pipelines for SEO and AEO data ingestion, transformation, and delivery, while identifying and solving root problems in search visibility through reusable abstractions.
• Partner directly with Marketing and Product stakeholders to influence features and requirements, making well-reasoned trade-offs between complexity, business value, and delivery timelines, while mentoring junior engineers and driving team productivity.

About You

Minimum Qualifications

• 5–8 years of software engineering experience with expert-level proficiency in React, Ruby, Python, PostgreSQL, and SQL.
• Proven track record of leading complete projects end-to-end, including architecture design, implementation, experimentation, and production rollout.
• Strong experience with distributed systems and data engineering — designing pipelines, optimizing schemas, and ensuring data quality — with experience in Airflow or DBT.
• Demonstrated ability to design for performance, scalability, and robustness, with experience implementing comprehensive observability solutions (logging, metrics, tracing).
• Strong product thinking with the ability to influence product direction and make strategic trade-offs balancing technical and business considerations.
• Excellent communication skills with a proven ability to mentor engineers, drive cross-team alignment, and translate technical concepts for diverse stakeholders.

Preferred Qualifications

• Direct experience with SEO/AEO initiatives or deep understanding of SEO best practices, answer engine optimization for LLMs, structured data (Schema.org), search engine crawling/indexing, and Core Web Vitals.
• Understanding of how AI-powered search engines and LLMs consume and surface content, with experience optimizing for AI answer generation.
• Experience with big data technologies (Apache Spark, Airflow, Hadoop), NoSQL databases, and data warehousing platforms (Snowflake, Redshift).
• Track record managing technical debt strategically and leading system modernization efforts.
• Experience with cloud cost optimization and A/B testing frameworks for measuring SEO/AEO impact.
• Previous experience partnering with marketing teams on growth initiatives in fast-paced startup environments.

#LI-Remote

The Challenge

Data Platform Engineer will be part of an innovative Enterprise data team that enables Marketing, Product, Sales, and Finance to explore data and take actions that differentiate us from our competition. You will work closely with data engineers, data architects, domain experts and business analysts to understand business requirements and help to build best in class data platform solutions and architecture for scale.  

Your Mission

• You will work closely with data engineers, data architects, domain experts and business analysts to understand business requirements and help to build best in class data platform solutions and architecture for scale.  
• Build and automate modern data platforms (AWS, AZURE, Snowflake) with native technologies, deploy applications, and provision of infrastructure.  
• Perform Administration, Maintenance and provide support to production systems (Snowflake, Fivetran, DBT, Power BI, Airflow) 
• Build and maintain CI/CD pipelines and infrastructure as code (IaC) practice across the platform for safe and reproducible deployments. 
• Design, build and implement automation framework for scale that deliver data with measurable quality under the SLA  
• Drive technical conversations with stakeholders to understand the platform's needs and come up with a provisioning strategy.  
• Work effectively using scrum with multiple team members to deliver value effectively.  
• Reduce technical debt over time with root cause identification, issue resolution and promote best practices across the platform 

You Are

This hands-on technical role demands excellent knowledge and can demonstrate best practices in the industry.

Your Experience Includes 

• Bachelor's or master's degree in computer science, Engineering or related field 
• 3+ years of overall experience and 3+ years of experience with very large-scale data warehouse projects. 
• Strong experience in SQL, knowledge of dimensional modeling, supporting data warehouse, scaling, optimizing and performance tuning ETL pipelines 
• 1+ years of experience with Python and manipulation of various data formats for extraction and transformation 
• 1+ years of experience with Snowflake, Airflow, ETL/Integration tools administration. 
• Hands-on experience with Data Warehouse technologies (Snowflake, Redshift) and Big Data technologies (Hadoop, Hive, Spark, Kafka, Kinesis) 
• Experience evaluating new tools and enriching existing architecture 
• You are a self-starter, hands-on technical expert who continuously gather and synthesize high-impact needs from business partners, design and implement the appropriate technical platform solution, and effectively communicate about deliverables, timelines and tradeoffs 

Location: United States (remote)

What is Verse? 

Energy markets are more volatile than ever. Rapid electrification and the rise of AI are driving unprecedented demand for power, while energy costs continue to rise across the globe. For the world’s largest energy buyers, managing energy has never been more complex or more critical.

Verse helps these organizations manage complex power portfolios with confidence by unifying energy data, planning, forecasting, and operations in one tool. Our Energy Cost Intelligence platform, Aria, brings together energy, finance, and operations teams with real-time, finance-ready intelligence—replacing spreadsheets and consultants with precision across the entire energy lifecycle. Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster, smarter energy decisions that reduce risk and lower energy costs.

The Role

You will be a member of the technical staff designing, building, and maintaining the next generation of data platform tools, pipelines, and orchestration frameworks to support multiple teams and products across a diverse range of data at Verse. This role supports Core Engineering needs within the organization and builds on top of existing engineering foundations focused on data. As a technical leader with advanced data engineering expertise, teammates will look to you to vet proposals, solutions to internal and customer-facing problems, system designs, and drive the implementation of these solutions with highest standards of software-engineering best practices. You will be an integral part of scaling our data platform as the company grows.

Key Responsibilities

• Ensure data quality, contracts and integrity with best practices around access, governance, and federation throughout the data lifecycle
• Implement, maintain, and promote best practices and hygiene in our dataland code repository for others to follow and emulate
• Write shared libraries and reusable data tools across a variety of data flows, sources, and sinks
• Partnering closely with our Data Science and data-heavy internal teams to support various analytical and AI/ML workflows
• Foster a culture and mindset of well-designed systems, test-driven software, and proactive communication with a high degree of transparency, mutual respect, and consideration for teammates
• Participate in code reviews, maintain technical documentation, and adhere to best software development practices

What We're Looking For (Minimum Qualifications)

• Advanced software development skills in Python, Rust, Java, Scala, or similar data-oriented language ecosystems
• Deep understanding of databases, data {lake,ware}house architectures, and data pipeline solutions across heterogeneous data and workloads in cloud-native environments
• Proficiency in carefully handling large, complex data and processing them (streaming and batch) in both transactional and analytical settings
• Commitment to delivering high quality software on time or ahead of schedule while adhering to best software development practices
• Continuous obsession for staying informed on contemporary technologies, tools, libraries, services, frameworks, or breakthroughs that could benefit the team
• Discipline using generative AI tools in day-to-day work

What Will Make You Standout (Preferred Qualifications)

• Bachelor’s  or master's degree in Computer Science, Data Science, or a related field
• Senior level software development talent and up
• Proven track record being a technical leader in high-performing data engineering teams
• Intimate knowledge of scaling “big data” solutions in cloud-based environments
• Hands on experience deploying and maintaining software such as Hadoop, Spark, Airflow, DBT, Dagster, Temporal, Presto/Trino, Iceberg, AlloyDB, Postgres, HBase, BigQuery, BigTable, Fabric, Hive, RedShift, S3, GCS, etc.
• Experience building event-driven architectures with streaming tools such as Kafka, NATS, GCP Pub/Sub, Kinesis, Bufstream, Flink, Beam
• Knowledge of managed or hosted data solutions such as Databricks, Snowflake, ClickHouse, Tinybird, etc
• Practical knowledge working with data in formats like Parquet, Avro, Protobuf, time series, text, image, video
• Working closely to support AI/ML-focused teams (knowledge of MLflow and Ray is a big a plus)
• Comfort building internal dashboards and data-focused visualizations

What Makes Verse a Great Place to Work? 

• Lead with Empathy: We lift each other up with humility and kindness, always putting colleagues and customers first
• Be Honest & Transparent: We prioritize effective communication to build trust with our team, customers, and stakeholders
• Move with Balance & Precision: We believe speed and perseverance must be accompanied by thoughtfulness and reflection
• Leave the World a Better Place: We are passionate about our mission, and we strive to create a sustainable world for future generations

Base Pay Range

$180,000 - $250,000+

This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to level, skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs.

Benefits and Employee Perks 

• Competitive compensation and equity grant at a high-growth start up 
• Comprehensive benefits package including medical, dental and vision insurance, and 401k 
• Flexible hours and unlimited PTO 
• Diverse and inclusive working environment 

Verse is an equal opportunity employer. All applicants and employees are considered for hire, promotion, and compensation without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, marital or familial status.

About the Role:

We are seeking an experienced  Software Engineer III (Data) to join our fast-paced, collaborative data team. In this role, you will have broad authority to drive the direction of our technographic data services, building world-class data pipelines and systems to process billions of signals and data points. This is an exciting opportunity to solve challenging problems and make a big impact as we invest in making technographics a first-class offering.

What You'll Do:

• Build and optimize big data pipelines to extract and process signals from the web, job postings, and other sources
• Design and implement data architectures and storage solutions to efficiently handle massive data volumes
• Collaborate closely with data scientists to support and integrate ML models into data workflows
• Continuously improve data quality, performance, and scalability of our technographic data platform
• Drive technical strategy and roadmap for the data processing infrastructure.

What We're Looking For:

• Extensive experience building and scaling big data pipelines and architectures from scratch
• Deep expertise in big data frameworks (Hadoop, Spark) and the JVM stack (Java, Scala)
• Strong software engineering fundamentals and ability to write efficient, high-quality code
• Experience with entity recognition and NLP techniques a plus
• Proven track record delivering results and driving projects in a fast-paced environment
• Excellent collaboration and communication skills to work with data scientists, analysts and product teams
• Passion for leveraging huge datasets to power valuable insights.

Ideal Background:

• 5+ years of experience in software engineering roles.
• Experience working with very large datasets and distributed systems
• Familiarity building data pipelines at large tech companies or data-driven organizations
• Bachelor's or advanced degree in Computer Science, Engineering or related technical field.

#LI-SK1

#LI-Hybrid

Overview

Are you ready to take your development skills to the next level? We’re looking for a Senior Software Engineer to join our Ads team. You’ll play a critical role in the evolution of our Ads suite and help build world-class reporting solutions across various platforms, ensuring that advertisers and retailers receive timely, accurate, and actionable data insights. By working closely with Product Designers, Product Managers, Data Scientists, Machine Learning Engineers, and other cross-functional partners, you’ll contribute to the advancement of our Ads suite and guarantee a seamless flow of data to our users.

The Instacart Ads team is at the forefront of refining our Ads products and supporting infrastructure, so your work will directly enhance our capability to process petabyte-scale data and deliver reports essential for billing, strategic decision-making, and partner management.

Our products are used by millions of people every year. To meet–and exceed–expectations we are rapidly improving and modernizing our ads platform, helping raise the quality bar for our products across the entire organization. Sound exciting? Keep reading.

The Ads Solutions Team is a vibrant collective of engineers pioneering new advertising formats at Instacart. Tasked with incubating and scaling cutting-edge ad solutions, our team fuels revenue growth and sustains vital partnerships within the Instacart Retail Media Network. As a beacon of innovation, our suite of display advertising offerings empowers brands to engage and educate consumers.

About the Job

As a Senior Engineer, you'll be integral to a full-stack team driving end-to-end development from client to backend. Known for agility, our team values rapid iteration alongside quality and craft:

• Lead the design and implementation of new ad formats.
• Collaborate across teams and across functions to set product requirements and long-term strategies.
• Uphold and elevate technical standards, ensuring superior code quality, test coverage, and system performance.
• Embrace cross-functional roles and tackle challenges beyond just code to amplify product outcomes.

About You

Minimum Qualifications

• Bachelor's degree or higher in Computer Science, Software Engineering, or a related field, or equivalent proven industry experience (4+ years).
• 5+ years of experience in software engineering.
• Comprehensive understanding of distributed systems, proven experience with data processing technologies such as DBT and Airflow and common web frameworks such as Rails.
• Highly proficient with SQL, capable of writing and reviewing complex queries for data analysis and debugging.
• You can design for scale with the entire system in mind.
• Solid communicator, comfortable seeking and receiving feedback.
• Strong analytical and debugging skills.
• Strong sense of ownership working with a large codebase and diverse suite of products.
• A collaborative mindset to be able to partner with engineers, designers and PM's from multiple teams to co-create impactful solutions while supporting system contributions.
• Strong organizational skills with the ability to communicate and present ideas clearly and influence key stakeholders at the manager, director, and VP level.

Preferred Qualifications

• Prior work experience in the digital advertising industry.
• Experience with big data technologies such as Spark, Hadoop, Flink, Hive or Kafka, and with both streaming and batching data pipelines.
• Proven experience with distributed system design.
• Strong general programming and algorithm skills.
• Strong attention to detail and accuracy in the implementation, keen eye for edge cases and code reviews. 
• Data driven mindset.

#LI-Remote

What Impact You’ll Have

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

What You’ll Be Owning

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

The ideal candidate requires demonstrated experience with:

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

What You Must Have

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

What Would Be Nice to Have

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

#LI-BPJ

What Impact You’ll Have

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

What You’ll Be Owning

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

What You Must Have

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

#LI-BPJ

What Impact You’ll Have

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

What You’ll Be Owning

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

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

What You Must Have

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

#LI-BPJ

What Impact You’ll Have

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

What You’ll Be Owning

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

What You Must Have

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

What Would Be Nice To Have

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

#LI-BPJ

What Impact You’ll Have:

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

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

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

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

THE ROLE:

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

What You’ll Be Owning:

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

What You Must Have:

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

#LI-BPJ

What Impact You’ll Have

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

What You’ll Be Owning

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

Candidate must have experience:

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

Responsibilities:

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

What You Must Have

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

#LI-BPJ

P-256

We are looking for experienced pre-sales professionals with a proven track record of helping large enterprises become more data-driven. Working with the Account Executive (AE), the Retail and CPG Sr. SA defines and directs the technical strategy for our largest and most important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management, and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the Retail and CPG space.

The impact you will have:

• You will work with 1-5 clients as the main technical voice for Databricks
• You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy
• You will implement the technical strategy in the account, with a close understanding of the strategy
• Build a movement of technical champions within the account
• Align technical strategies around Databricks solutions
• You will provide structured mentorship for other team members

What we look for:

• 5+ years of experience working in very large (> $1m ARR), from the Retail and CPG-related space
• 3+ years working in a pre-sales capacity or supporting sales activity
• Technical in big data, data science, and cloud
• An ability in data-driven business transformation and driving change with data
• 3+ years of experience with design and implementation experience in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP, or full lifecycle data science solutions
• Maintain and extend production data systems to evolve with complex customer needs
• Production programming experience in Python, R, Scala, or Java
• Nice to have: Databricks Certification

LI #Remote

P-344

At Databricks, our customers challenge us with solving some of the world's toughest data problems. Our customers rely on our Solutions Architect team to understand the technologies that power our platform, the broader cloud and technology ecosystems, and how they can all be brought together to solve these problems.

Solutions Architects at Databricks lead the adoption of the Databricks Unified Analytics Platform. As a member of our team, you will sharpen your skills on open-source projects such as Apache Spark™, MLflow, and Delta Lake to advocate the Lakehouse paradigm on public cloud providers. You will gain expertise in cloud platforms, data engineering, data analytics, data science, and machine learning. In this customer-facing role, you will identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through implementations to deliver strategic business value. You will partner with the sales team to build relationships with our customers and establish yourself as a trusted advisor.

Databricks' culture thrives on collaboration and teamwork, and you will contribute your knowledge to our teams by participating in our subject matter expert groups. In this role, you will report to the Solutions Architect Leader supporting the specific business segment.

If you are a technologist interested in Data and AI, and enjoy prototyping solutions for customers, this role is for you.

The impact you will have:

• Provide technical leadership for customers to evaluate and adopt Data and AI solutions from Databricks
• Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, technical guides, and demo applications for customers
• Provide escalated support for critical customer operational issues
• Become an expert in, and evangelize Databricks driven open-source projects (Apache Spark™, Delta Lake, MLflow, Koalas) across developer communities through meetups, conferences, and webinars
• Use your strengths to help your fellow SA's, and drive cross-functional relationships across the company
• Travel to customers (up to 30%, of which 80%+ local to your region)

What we look for:

Solution Architects are customer-facing. You'll need to be comfortable communicating ideas to various audiences through presentations, whiteboarding, architecture discussions, and platform demonstrations.

• 3+ years in a customer-facing pre-sales, technical architecture, or consulting role
• Experience designing and architecting distributed data systems
• Comfortable programming in and debugging at least one of Python, Scala, Java, SQL, or R
• Have built solutions with public cloud providers, such as AWS, Azure, or GCP
• Experience in at least one of the following:
  • Data Engineering technologies (e.g., Spark, Hadoop, Kafka)
  • Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)
  • Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO)
• [Preferred] Degree in a quantitative discipline (e.g., Computer Science, Applied Mathematics, Operations Research, etc.)
• Nice to have: Databricks Certification

P-345

At Databricks, our customers challenge us with solving some of the world's toughest data problems. Our customers rely on our Solutions Architect team to understand the technologies that power our platform, the broader cloud and technology ecosystems, and how they can all be brought together to solve these problems.

Solutions Architects at Databricks lead the adoption of the Databricks Unified Analytics Platform. As a member of our team, you will sharpen your skills on open-source projects such as Apache Spark™, MLflow, and Delta Lake to advocate the Lakehouse paradigm on public cloud providers. You will gain expertise in cloud platforms, data engineering, data analytics, data science, and machine learning. In this customer-facing role, you will identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through implementations to deliver strategic business value. You will build relationships with our customers and establish yourself as a trusted advisor.

Databricks' culture thrives on collaboration and teamwork, and you will contribute your knowledge to our teams by participating in our subject matter expert groups. In this role, you will report to the Solutions Architect Leader supporting the specific business segment.

If you are a technologist interested in Data and AI, and enjoy prototyping solutions for customers, this role is for you.

The impact you will have:

• Provide technical leadership for customers to evaluate and adopt Data and AI solutions from Databricks
• Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, technical guides, and demo applications for customers
• Provide escalated support for critical customer operational issues
• Become an expert in, and evangelize Databricks driven open-source projects (Apache Spark™, Delta Lake, MLflow, Koalas) across developer communities through meetups, conferences, and webinars
• Use your strengths to help your fellow SA's, and drive cross-functional relationships across the company
• Travel to customers (up to 30%, of which 80%+ local to your region)

What we look for:

Solution Architects are customer-facing. You'll need to be comfortable communicating ideas to various audiences through presentations, whiteboarding, architecture discussions, and platform demonstrations.

• 5+ years in a customer-facing pre-sales, technical architecture, or consulting role
• Experience designing and architecting distributed data systems
• Comfortable programming in and debugging at least one of Python, Scala, Java, SQL, or R
• Have built solutions with public cloud providers, such as AWS, Azure, or GCP
• Experience in at least one of the following:
  • Data Engineering technologies (e.g., Spark, Hadoop, Kafka)
  • Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)
  • Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO)
• [Preferred] Degree in a quantitative discipline (e.g., Computer Science, Applied Mathematics, Operations Research, etc.)
• Nice to have: Databricks Certification

P-256

We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Account Executive (AE), the Retail and CPG SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the Retail and CPG space.

The impact you will have:

• You will work with 1-5 clients as the main technical voice for Databricks
• You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy
• You will implement the technical strategy in the account, in close understanding of the strategy
• Build a movement of technical champions within the account
• Align technical strategies around Databricks solutions
• You will provide structured mentorship for other team members

What we look for:

• 5+ years of experience working very large (> $1m ARR), from the Retail and CPG related space
• 3+ years working in a pre sales capacity or supporting sales activity
• Technical in big data, data science and cloud
• An ability in data-driven business transformation, and driving change with data
• 3+ years of experience with design and implementation experience in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP or full lifecycle data science solutions
• Maintain and extend production data systems to evolve with complex customer needs
• Production programming experience in Python, R, Scala or Java
• Nice to have: Databricks Certification

P-256

We are looking for experienced pre-sales professionals with a proven track record of helping large enterprises become more data-driven. Working with the Account Executive (AE), the Retail and CPG Sr. SA defines and directs the technical strategy for our largest and most important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management, and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the Retail and CPG space.

The impact you will have:

• You will work with 1-5 clients as the main technical voice for Databricks
• You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy
• You will implement the technical strategy in the account, in close understanding of the strategy
• Build a movement of technical champions within the account
• Align technical strategies around Databricks solutions
• You will provide structured mentorship for other team members

What we look for:

• 8+ years of experience working in very large (> $1m ARR), from the Retail and CPG-related space
• 5+ years working in a pre-sales capacity or supporting sales activity
• Technical in big data, data science, and cloud
• An ability in data-driven business transformation and driving change with data
• 3+ years of experience with design and implementation experience in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP or full lifecycle data science solutions
• Maintain and extend production data systems to evolve with complex customer needs
• Production programming experience in Python, R, Scala, or Java
• Nice to have: Databricks Certification

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

Job Description:

We are seeking a Principal Cloud Software Engineer to develop, maintain, and enhance complex and diverse Big-Data Cloud systems based upon documented requirements. In this role, you will directly contribute to all stages of back-end processing, analyzing, and indexing. The ideal candidate for this role will offer subject-matter expertise in Cloud Computing and the Hadoop Eco-System including implementing Java applications, Distributed Computing, Information Retrieval (IR), and Object-Oriented Design. Please consider applying if you meet the following qualifications.

Required Qualifications:

• TS/SCI with polygraph security clearance.
• A Bachelor of Science (B.S.) degree in computer science or a related STEM discipline and eleven (12) years or relevant experience is required. A Master of Science (M.S.) degree and ten (10) years of experience or in lieu of a degree, sixteen (16) years of relevant experience is also acceptable. 
• Relevant experience qualifies as professional experience in cloud software engineering on projects with similar Big-Data systems. A Cloudera Certified Hadoop Developer certification may be substituted for one (1) year of relevant experience.
• At minimum, the following cloud-related experience is required:
  • Two (2) years of Cloud and/or Distributed Computing Information Retrieval (IR).
  • One (1) year of experience implementing code that interacts with Cloud Big Table.
  • One (1) year of experience implementing code that interacts with Cloud Distributed File System.
  • One (1) year of experience implementing complex MapReduce analytics.
  • One (1) year of experience implementing code that interacts with Cloud Distributed Coordination Frameworks.
  • One (1) year of experience architecting Cloud Computing solutions.
  • One (1) year of experience debugging problems with cloud-based Distributed Computing Frameworks.
  • One (1) year of experience managing multi-node cloud-based installations.
• Experience in Network Management, Virtualization (VMWare or VirtualBox), and/or Cloud Computing.
• Experience securing cloud-based and distributed applications through industry standard techniques such as Firewalls, PKI Certificate, and Server Authentication with experience in corporate authentication service(s). 
• Experience in object-oriented design and programming to include Java, Eclipse, or similar development environments.
• Experience with MAVEN and RESTful web services.
• Experience with CentOS, Linux/RedHat, or configuration management tools such as Subversion, ClearQuest, or Razor.

The Community You Will Join:

Data represents the voice of Airbnb’s users at scale. The Data Warehouse Infrastructure team is responsible for the foundational big data infrastructure, which is used by hundreds of engineers to collect, manage, and analyze data at scale. We are using open source technologies like Hadoop, Spark, Trino, Iceberg, Airflow etc.

A Typical Day:

• Architect, design, and implement Airbnb's next-generation big data compute platform to support data ETL, analytics, and machine learning initiatives.
• Manage and operate the platform, continually enhancing its reliability, performance, observability, and cost-efficiency.
• Produce high-quality, maintainable, and self-documenting code, actively participating in code review processes.
• Contribute to open-source software and drive meaningful industry impact.

Your Expertise:

Qualifications

• Education: BS/MS/PhD in Computer Science, a related field, or equivalent practical experience (preferred).
• Experience: 6+ years of professional experience in data infrastructure, with a deep focus on big data technologies.

Technical Skills

• Big Data Proficiency: Expert-level knowledge of big data technologies, including Spark, Trino, Kunbernates, and AWS EMR.
• Programming: Strong programming abilities in languages such as Java, Scala, and SQL.
• System Design: Extensive experience in the design, construction, and maintenance of scalable, fault-tolerant distributed systems.
• Database Systems: Familiarity with a variety of database systems, including both SQL and NoSQL.
• Troubleshooting: Capacity to diagnose and resolve complex issues within data infrastructure environments.

Collaboration and Communication

• Collaboration: Proven track record of working effectively with cross-functional teams to define system requirements, evaluate potential solutions, and manage system testing and integration.
• Communication: Excellent written and verbal communication skills.
• Teamwork: Demonstrated ability to thrive and contribute effectively within a team-oriented setting.

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. 

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

At Rockstar Games, we create world-class entertainment experiences. 

Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry.

Rockstar is on the lookout for a passionate Associate Principal Linux Systems Engineer who is skilled at building and supporting Linux environments that are highly redundant and scalable.

This is a full-time, in-office position based out of Rockstar’s NYC headquarters in Downtown Manhattan. 

WHAT WE DO

• 24x7 Linux operations of our online games, features, and services.
• Hands-on support to the operations of online and development environments.
• Build and plan infrastructure for upcoming releases.

RESPONSIBILITIES

• Hands-on maintenance and administration of Linux based systems.
• Perform patching and support server migrations as needed.
• Develop standard operating procedures to ensure high availability.
• Perform routine system maintenance when needed to resolve issues.
• Support root cause analysis efforts across multiple infrastructure layers.
• Ensure a highly available production environment particularly during system maintenances.
• Administer monitoring services such as Check_MK, Splunk, Grafana and Graphite.
• Provide timely and creative solutions to difficult problems.

REQUIREMENTS

• Bachelor’s Degree in Computer Science or related field, IT certifications, or equivalent experience.
• 10+ years’ experience in a Linux environment using related technologies and standards such as DHCP, DNS, LDAP, Kerberos, CIFS/SMB.
• In-depth hands-on experience with RHEL or CentOS as well as configuration management experience with either Chef, Puppet or Ansible.
• Experience administering systems in a high traffic, multi-system, public facing environment.
• Experience configuring and maintaining Apache servers.
• Experience administering one of the following: Elasticsearch, Cassandra, Mongo, Hadoop (Hive, HDFS, Impala, Oozie), MySQL or PostgreSQL.
• Possess a thorough understanding of network protocols and standards such as TCP/IP, UDP, HTTP/S and SSL/PKI.
• Experience working with major CDN providers.
• Experience scripting in one of the following languages: Bash, Python, PHP, or Perl.
• Experience with REST API automation.

PLUSES

Please note that these are desirable skills and are not required to apply for the position.

• Experience supporting online game development and production environments.
• General Cisco IOS administration experience for adding removing VLANS and LACP bonds.
• Knowledge of PowerShell.

HOW TO APPLY

Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.

Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process.

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.

#LI-BW1

Position Title: Instructional Assistant, Data Engineering

Department: National Training Team / Remote Training

Reports To: Manager, Remote Training

Employment Type: Contract

Location: Tampa, FL 

WHO WE ARE

Per Scholas Inc. is a national nonprofit advancing economic mobility for 30 years. Through rigorous technical training, professional development, and strong employer partnerships, we prepare individuals traditionally underrepresented in tech for high-growth careers. With campuses in 17 cities and over 15,000 graduates, we’re building a more diverse and inclusive tech workforce by connecting talent to opportunity.

WHAT YOU WILL DO

As an Instructional Assistant (IA), you are the critical bridge between the Lead Instructor and the learners. You will support the delivery of a rigorous Data Engineering curriculum while ensuring student success through tutoring, grading, and classroom management.

Instructional Support & Tutoring

• Lab Facilitation: actively circulate (virtually or physically) during hands-on labs to help learners troubleshoot code in Python, SQL, and Linux environments.
• Targeted Tutoring: Lead instructor-approved study groups and provide one-on-one tutoring for learners struggling with specific concepts (e.g., ETL pipelines, DataFrames).
• Substitute Teaching: Be prepared to step in and lead a lesson, review session, or proctor an exam in the event of a short-term instructor absence.
• AI Integration: Model the use of Google Gemini to help students debug their own code, ensuring they understand the logic rather than just copying answers.

Learner Management & Administration

• Progress Tracking: Implement individualized study plans for at-risk learners and collaborate with the detailed learner progress reviews.
• Administrative Duties: Take and track daily attendance and enter real-time grades in Salesforce and Canvas.
• Platform Management: Assist in setting up HackerRank assessments and tracking completion of Coursera modules (Google Data Analytics Certificate).
• Classroom Decorum: Enforce and model professional standards, including dress code, punctuality, and respectful communication.
• Equipment: Ensure any classroom or borrowed equipment is used properly and returned/stored (if applicable).

WHAT YOU’LL BRING TO US

Education & Experience (Must meet one of the following)

• Bachelor’s Degree in Computer Science, Data Science, or a related field.
• OR Graduate of a rigorous Technical Bootcamp (Per Scholas alumni preferred).
• OR Equivalent Industry Experience in Data Engineering, Data Analytics, or Software Development.

Technical Must-Haves

• Python Proficiency: Strong functional knowledge of Python. You must be able to troubleshoot logic errors in Pandas, NumPy, and basic scripts.
• SQL Mastery: Ability to write and explain intermediate queries (Joins, Aggregations, Subqueries) and troubleshoot database connection issues.
• Linux Fundamentals: Comfortable with CLI navigation, file management, and basic permissions.
• AI Adaptability: Proficiency in using Google Gemini (or ChatGPT) as a teaching aid and productivity tool.

Technical Good-to-Haves

• Cloud Exposure: Familiarity with AWS services (S3, RDS) or the AWS Cloud Practitioner certification.
• Visualization: Experience creating dashboards in Tableau or PowerBI.
• Big Data: Conceptual understanding of Apache Spark or Hadoop ecosystems.

TECHNICAL ENVIRONMENT

You will need to support learners on the following platforms and tools:

• Coding: VS Code, Jupyter Notebooks, Google Colab.
• LMS & CRM: Canvas, Salesforce.
• Assessment: HackerRank, Coursera.
• Communication: Zoom, Slack.

PERSONAL CHARACTERISTICS

• Agile: You thrive in a fast-paced environment and can adapt quickly to changes in the schedule or curriculum.
• Proactive: You anticipate student struggles and intervene early before they fall behind.
• Collaborative: You work seamlessly with the Lead Instructor, acting as a unified teaching team.

Mission-Driven: You are passionate about creating access to high-growth tech careers for diverse communities.

The hourly rate for this position is $20/hour 

#LI-Onsite

POSITION TITLE: Data Engineering Instructor

LOCATION:  Tampa, Florida

SCHEDULE: In-person

DURATION: Contract, 4 months (16 weeks+)

REPORTS TO: Director, Technical Instruction

COMPENSATION: 60$/hour

WHO WE ARE LOOKING FOR

Per Scholas is seeking a dynamic, detail-oriented Data Engineering Instructor to join our team. We are looking for a problem-solver with a strong technical background in modern data pipelines, cloud technologies, and AI integration.

To succeed in this role, you must be business-minded, mission-driven, and capable of translating complex technical concepts into job-ready skills for diverse learners. You will lead a cohort through a rigorous training program, preparing them for entry-to-mid-level careers in Data Engineering.

WHAT YOU’LL DO

• Deliver High-Quality Instruction: Lead daily live technical training in-person, covering the full Data Engineering lifecycle including Linux, Python, SQL, Big Data frameworks, and Cloud technologies. You must be prepared to seamlessly pivot to Zoom-based remote instruction if required by business contingencies.
• Manage Student Performance: Monitor individual progress, grade assessments (KBAs via Canvas, SBAs via HackerRank), manage attendance, and provide one-on-one tutoring for learners who need additional support.
• Facilitate Hands-On Labs: Guide students through practical exercises, troubleshooting code issues in real-time, and overseeing the final Capstone Project.
• Leverage AI Tools: Integrate Google Gemini (primary) and other tools (ChatGPT, GitHub Copilot) into the classroom to demonstrate code generation, debugging, and explaining complex technical concepts.
• Curriculum & Platform Support: Maintain lesson plans and manage external learning platforms, including enrolling and tracking learner progress in Coursera for the Google Data Analytics Professional Certificate modules (specifically Tableau).
• Administrative Duties: Update the LMS (Canvas, Salesforce) and communication channels (Slack) with attendance, grades, and progress notes daily.

WHAT YOU’LL BRING TO US

Must-Have Qualifications (Required)

• Education & Background (One of the following is required):
• Bachelor’s Degree in Computer Science, Data Science, or a related field.
• OR Graduate of a rigorous Technical Bootcamp (Per Scholas alumni preferred).
• OR Equivalent Industry Experience in Data Engineering, Data Analytics, or Software Development.
• Teaching Experience: Minimum 1 year of teaching, training, or mentoring experience in a technical environment.
• AI Integration: Proficiency in using Google Gemini to assist in coding, debugging, and instructional workflows.
• Scripting & Automation: Proficiency in Unix/Linux command line navigation and basic shell scripting.
• Version Control: Experience with Git and GitHub for version control and collaboration.
• Python Programming: Advanced proficiency in Python, including data manipulation and analysis using NumPy and Pandas.
• Database Expertise: In-depth knowledge of Relational Databases, SQL programming, and database design principles.
• Big Data & ETL: Practical experience with Apache Spark, Spark SQL, and ETL/ELT data warehousing processes.
• Data Visualization: Strong proficiency in Tableau (required for specific curriculum modules) and Python libraries like Matplotlib/Seaborn.
• Cloud Technologies: Experience with AWS services relevant to data analytics (e.g., Redshift, Athena, QuickSight, AWS Blueprint).

Good-to-Have Qualifications (Preferred)

• Advanced Teaching Experience: 3+ years of experience in adult education or bootcamp-style training.
• Containerization: Familiarity with Docker and Kubernetes.
• CI/CD: Knowledge of CI/CD tools and processes such as Jenkins.
• Hadoop Ecosystems: Familiarity with Hadoop frameworks.
• Certifications: AWS Certified Data Analytics, Google Data Analytics Professional Certificate, or Databricks Certified Associate.

PERSONAL CHARACTERISTICS

• Mission Alignment: You believe that talent is ubiquitous but opportunity is not, and you are passionate about creating on-ramps for diverse communities.
• Agility: You thrive in a fast-paced environment and can adapt quickly to changes in the classroom or curriculum.
• Data-Driven: You use student performance data to identify gaps and adjust your teaching strategies accordingly.
• Life-Long Learner: You stay updated on the latest trends in Data Engineering and AI.

WHY WORK HERE?

• Impact: Make a tangible difference in the lives of individuals by providing them with the skills to launch sustainable careers.
• Culture: Join a supportive, collaborative, and diverse team that values innovation and work-life balance.

Benefits: Enjoy a competitive salary, comprehensive healthcare, 401K match, and self-development opportunities.

We are hiring for one of our ecosystem projects, an innovative AI and Web3 company building an Ethereum Layer 2 solution integrated with advanced AI agents. As the first engineer dedicated to this initiative, you will play a pivotal role in its development, with potential opportunities to build and lead a team in the future.

Key Responsibilities

• Design and implement AI platforms, encompassing both front-end interfaces and back-end services.
• Collaborate with other developers and AI engineers on data preprocessing, model training, and optimization.
• Deploy AI models into production environments, ensuring performance, scalability, and reliability.
• Develop and maintain data processing pipelines to ensure data quality and consistency.
• Stay updated on AI technology trends, advocating for the integration of new technologies into our products.
• Contribute to other projects based on the company’s product development progress

Requirements

• Bachelor’s degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
• 5 years of full-stack development experience, proficient in both front-end and back-end technologies.
• Expertise in front-end and back-end technologies (especially Golang)
• Eager to explore and could use new technologies related to AI that help improve working efficiency
• Strong curiosity and willingness to explore new product directions, identify potential AI applications, and contribute to product innovation.
• Familiarity with Web3, blockchain, and the crypto industry, with insights into different product models and a personal perspective on industry trends and innovations.
• Excellent communication skills and a collaborative team spirit, with the ability to independently solve problems and take initiative.

Preferred Qualifications

• Knowledge in data processing and analysis will be a plus, with knowledge of SQL and NoSQL databases such as MySQL, PostgreSQL, or MongoDB.
• Experience in deploying and optimizing AI agent
• Experience contributing to open-source projects
• Build high-performance APIs and microservices to support large-scale Web3 application
• Familiarity with large-scale data processing technologies such as Hadoop or Spark.

Do you love bringing clarity and value to people through data? Do you enjoy the storytelling power of data visualization? Are you searching for the perfect place to jumpstart your career? We’ve got just the thing.

InterWorks is looking for bold personalities who are equal parts consultant and artist with a knack for creating immediate value for others. This role will never see the same day twice since new and exciting challenges roll in constantly. We need a fast learner who’s ready to dive into a fast-paced work environment and be a strong fit in our unique company culture. Our ideal candidate is a team player, naturally curious and quick to celebrate the successes of others. We want someone eager to join our team of diverse, world-class data experts who will play a crucial role in serving and empowering clients. This approach is the key to our success, and we're looking for others that agree. Are you one of them?

This is a paid internship with the option for students to pursue academic credit depending on their department.

Please be advised that this role is required to be located in the InterWorks headquarters office in Stillwater Oklahoma. Remote work or telecommuting arrangements outside of this jurisdiction are not permissible for this position.

We estimate this role as $15 USD an hour, based on experience and skillset.

What You’ll Do

• Use data visualization tools to tell stories with data
• Promote internal efforts around data-driven decision-making and performance measurement
• Work with key stakeholders for requirement gathering and acceptance criteria
• Provide structured and high-quality content that summarizes trends and flags underlying drivers

What You’ll Need

Must-Haves

• Highly effective verbal and written communication skills
• Passion for interacting with people, both co-workers and clients
• Strong analytical and problem-solving skills
• Business acumen and understanding of the role of business intelligence
• Adaptability and flexibility to changing situations
• Passion for delivering compelling solutions that exceed client expectations
• Current graduate student or recent graduate in a relevant field (e.g., data, business, or analytics)

What We’d Like You to Have

• Tableau Software experience (Tableau Desktop, Tableau Server)
• BI & analytics tools (Oracle/Hyperion, Cognos, Qlik or Business Objects)
• Big Data distributions (Cloudera CDH, Hadoop, HBase, Pig, Hive)
• Big Data analytics solutions (HP Vertica, Oracle NoSQ DBL, Hadoop Loader, EXASOL)
• ETL tools (Alteryx, SyncSort, Informatica, Data Stage, SSIS, Pentaho)

We are hiring for one of our ecosystem projects, an innovative AI and Web3 company building an Ethereum Layer 2 solution integrated with advanced AI agents. As the first engineer dedicated to this initiative, you will play a pivotal role in its development, with potential opportunities to build and lead a team in the future.

Key Responsibilities

• Design and implement AI platforms, encompassing both front-end interfaces and back-end services.
• Collaborate with other developers and AI engineers on data preprocessing, model training, and optimization.
• Deploy AI models into production environments, ensuring performance, scalability, and reliability.
• Develop and maintain data processing pipelines to ensure data quality and consistency.
• Stay updated on AI technology trends, advocating for the integration of new technologies into our products.
• Contribute to other projects based on the company’s product development progress

Requirements

• Bachelor’s degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
• 5 years of full-stack development experience, proficient in both front-end and back-end technologies.
• Expertise in front-end and back-end technologies (especially Golang)
• Eager to explore and could use new technologies related to AI that help improve working efficiency
• Strong curiosity and willingness to explore new product directions, identify potential AI applications, and contribute to product innovation.
• Familiarity with Web3, blockchain, and the crypto industry, with insights into different product models and a personal perspective on industry trends and innovations.
• Excellent communication skills and a collaborative team spirit, with the ability to independently solve problems and take initiative.

Preferred Qualifications

• Knowledge in data processing and analysis will be a plus, with knowledge of SQL and NoSQL databases such as MySQL, PostgreSQL, or MongoDB.
• Experience in deploying and optimizing AI agent
• Experience contributing to open-source projects
• Build high-performance APIs and microservices to support large-scale Web3 application
• Familiarity with large-scale data processing technologies such as Hadoop or Spark.