CSQ426R15

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get from our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise
• Create, own, and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement/user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• U.S. citizenship 
• 7+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers 
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role 
• Understanding of solution architecture related to distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management, including account, stakeholder and resource management accountability
• Experience in resolving complex and important escalations with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

MongoDB is building a world-class team in North America to create tooling that helps customers migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise their application and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model.  The tools developed by the Data Migration team are critical in this journey, helping customers with schema modeling, initial data loads, and continuous data synchronization.

We are looking for an experienced Staff Engineer with experience in the Java ecosystem, streaming systems, and data-intensive applications to join our team. We are building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React. A successful candidate will be a key contributor to our backend services, collaborating closely with product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.

We are looking to speak with candidates based in California, Oregon, or Washington for our hybrid or remote working models.

The ideal candidate for this role will have

• 8+ years of commercial software development experience with at least one JVM language such as Java, preferably using the Spring ecosystem
• Extensive experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
• Extensive experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
• Exposure to client-side technologies such as JavaScript and React is a plus
• Empower the engineering team with unparalleled thought leadership on emerging technologies and best practices
• Proactively engage with product leaders and senior management to align technical solutions with overarching business strategies
• Mentor and guide junior and senior engineers on best practices in data structures, algorithms, and database design
• Participate in code reviews, design discussions, and contribute to the overall technical direction and roadmap of the team
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills

Position Expectations

• Architectural Leadership: Drive the architectural vision and technical strategy for the data migration engine and its surrounding ecosystem. Contribute core, foundational code that solves the hardest scalability problems and sets the standard for the rest of the team
• Strategic Partnership: Partner closely with Engineering Leadership, Product Management, and Design to shape the technical roadmap. Anticipate future business needs and translate them into scalable, long-term technical initiatives
• Engineering Excellence & Mentorship: Define and champion engineering best practices, patterns, and standards across multiple teams. Actively mentor Senior and Mid-level engineers, cultivating a culture of technical excellence and continuous learning

Success Measures

Within the first three months, you will have

• Familiarized yourself with the MongoDB database and aggregation language
• Familiarized yourself with the problem space and the domain
• Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
• Started collaborating with your peers and contributed to code reviews

Within six months, you will have

• Worked on and delivered a large-scale code analysis feature in the product
• Contributed to and helped deliver a few releases of the product
• Reviewed and contributed to scope and technical design documents

Within twelve months, you will have

• Delivered large-scale features across our entire tech stack
• Helped recruit, interview and mentor new members of the team
• Collaborated with other teams at MongoDB

About MongoDB

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

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

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

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

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

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

Req ID: 4263333172

The opportunity: 

We're looking for a Staff Product Manager to own and drive strategy across a product domain at Flexport. This is not a single-feature role. You will define the vision for how multiple product surfaces work together to serve clients and operators across global logistics, then execute against that vision with a high degree of autonomy.

Flexport's platform powers every stage of global freight, from booking and pricing to visibility, customs, and delivery. The products you shape will be used daily by logistics managers, supply chain leaders, freight operators, and internal teams who keep goods moving around the world. You will work across multiple engineering teams and coordinate with other PMs to ensure your domain delivers cohesive, measurable outcomes. You will also raise the bar for the PM team through mentorship, better frameworks, and sharper thinking on the hardest product problems we face.

This is a role for someone with deep product experience, strong analytical instincts, and the ability to operate at both the strategic and execution level in a complex, data-rich environment.

You will:

• Define and drive product strategy for a domain that spans multiple teams, user types, or workflow stages
• Own the end-to-end roadmap for your domain: identifying the highest-leverage problems, sequencing investment, and making clear trade-off recommendations to leadership
• Partner with Engineering, Design, Sales, Operations, and other product teams to align priorities and ship integrated experiences across surfaces
• Use data to set direction, not just measure results. Building metrics frameworks that connect product usage to business outcomes and using them to guide investment decisions across your domain
• Break down ambiguous, cross-cutting problems into concrete product plans that multiple teams can execute against
• Represent your domain in leadership forums, influencing resource allocation and strategic direction
• Mentor PMs on the team: improving how we write specs, prioritize, communicate trade-offs, and ship

You should have:

• 8+ years of product management experience
• Demonstrated ability to own a product domain (not just a feature or single product area) and drive outcomes across multiple teams
• Strong analytical and quantitative skills. You build metrics frameworks, write your own queries, and use data to settle debates. SQL proficiency required
• A track record of shipping products in data-dense, complex domains where the user workflow spans multiple steps or systems
• Experience aligning cross-functional teams (engineering, design, operations, commercial) around a shared roadmap when priorities compete
• Proven ability to operate at the strategy level (where should we invest, and why) and the execution level (what ships this quarter, and what does "done" look like) in the same week
• Excellent written and verbal communication, especially the ability to frame trade-offs, present recommendations to senior leadership, and create clarity in ambiguous situations
• Experience mentoring or leading other PMs, formally or informally
• Experience with B2B workflow software, supply chain platforms, or logistics technology is a plus

#LI-onsite

The opportunity: 

We're looking for a Senior Product Manager to join Flexport's product team and own a critical part of how we serve clients and operators across global logistics. You'll define the vision and roadmap for your product area, ship features that drive measurable business outcomes, and collaborate with engineering, design, commercial, and operations teams to solve hard problems at scale.

Flexport's platform powers every stage of global freight, from booking and pricing to visibility, customs, and delivery. The products you build will be used daily by logistics managers, supply chain leaders, freight operators, and internal teams who keep goods moving around the world. This is a high-impact role for someone who combines strong product instincts with deep analytical skills and comfort navigating complex domains.

You will:

•  Define and deliver features that improve key workflows for clients or internal operators across Flexport's platform
• Own your product area end-to-end, from problem discovery through launch, adoption, and iteration
• Partner with Engineering, Design, Sales, Operations, and other cross-functional teams to translate complex logistics workflows into clear, intuitive experiences
• Use data to guide prioritization, measure impact, and identify opportunities
• Develop analytics frameworks to track product health, user engagement, and business outcomes
• Contribute to medium- and long-term product strategy, with opportunities to shape the future of the platform

You should have:

• 6+ years of product management experience, or other domain-relevant experience
• Strong analytical and quantitative skills. You are comfortable working with complex datasets, building metrics frameworks, and using data to make decisions. SQL proficiency required
• A track record of shipping intuitive UX in data-dense, complex domains
• Experience building user-facing or operator-facing features that simplify multi-step workflows
• Ability to collaborate deeply with designers, engineers, and commercial or operations teams
• Excellent written and verbal communication skills, especially around tradeoffs and prioritization
• Experience with B2B workflow software, supply chain platforms, or logistics technology is a plus

#LI-onsite

The Team:

Celonis Services is a strategic services organization that focuses on the technical aspects of our customers' journeys, which includes Consulting Services, Academy and Customer Support. We are thought leaders with deep product, technical and domain expertise and focus on delivering Celonis implementations and driving product adoption for our customers. We achieve this by bringing together our best practices, delivery experience, award-winning enablement, and support expertise.

The Role:

As a Senior Consultant, you lead our agile project teams to accelerate our customers’ digital transformation and drive Celonis’ international expansion. You identify our customers’ strategic priorities and lead your project team towards developing data-driven process insights using SQL and creating complex data models to ensure that customers receive maximum value. You will become an expert in all kinds of company processes such as Finance, Order Management, Procurement, Warehouse Management, Customer Service, Production, e-Commerce, Opportunity Management, Supply Chain Management. You always leverage the newest features and functionalities of the Celonis software, such as Process Analytics, Process Automation, Task Mining and Machine Learning. 

The work you’ll do:

• Lead and drive the implementation process while delivering exceptionally high levels of service to ensure the optimal solution for our customers with our Celonis technology 
• Transform the customer’s data using SQL to create the data model for your process analysis
• Design and implement innovative analyses and execution apps and enrich them with Machine Learning algorithms or Task Mining to make the customer’s processes transparent and automated 
• Analyze the data to identify process inefficiencies and understand the root causes to jointly suggest approaches to overcome them
• Quantify the business and financial potential and present the most relevant KPIs to the management 
• Translate business requirements into technical specifications
• Conduct value creation workshops and align measures to improve process inefficiencies 
• Set the foundation of the path to value to make the long-term customer success journey happen

The qualifications you need:

• Preferred location is Washington, DC
• 5+ years working experience in IT-Consulting, Management Consulting, Process Improvement or a similar area 
• Must have relevant experience in Public Sector vertical
• Requires Active Security Clearance (that will remain active for at least 18+ months upon hire)
• Proficiency with SQL or other programming languages (Python, R, Matlab...) and a strong interest in Big Data, Data Mining, and Process Mining
• Strong communication skills in English and enjoy interacting with various customers to understand and interpret business processes
• You are very dedicated and visionary and want to actively drive the Celonis Process Mining technology forward 
• Excellent analytical skills, well organized and known for being a quick learner
• Successfully completed your studies in Business Informatics, Computer Science, Information-oriented Business Administration/ Economics, Mathematics or a comparable degree program

Visa sponsorship is not offered for this role.

The Application Modernization Platform (AMP) team is tackling one of the industry's most critical challenges: leveraging Generative AI to transform rigid, legacy applications into modern, microservices-based architectures powered by MongoDB. A core difficulty in legacy code transformation is guaranteeing the equivalence of the new application's business logic, ensuring it operates smoothly and efficiently with the new MongoDB data ecosystems in a reliable and scalable manner. The success of this mission heavily relies on the essential tools developed by the CodeGen team.

We are looking for an experienced Senior Lead Software Engineer with a strong background in database ecosystem, reshaping complex large-scale services and team leadership. You will lead a talented team building a complex product suite using GenAI capabilities. The ideal candidate is a hands-on technical leader who can drive architectural decisions, mentor engineers, and collaborate closely with product management to deliver a product that solves our customers' most challenging application transformation problems.

This role will be based in North America west coast, and offers a hybrid working model. 

The ideal candidate for this role will have

• 10+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure
• 2+ years of experience leading, coaching, and mentoring a team of software engineers to achieve high-impact results
• Extensive product experience in building enterprise-grade analytics systems for data streaming or data tooling
• Extensive experience with relational and document data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc) and at least one document database (e.g. MongoDB)
• Having experience in using GenAI in building complex large-scale systems, and knowing what GenAI is best suited to do, is a plus
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills
• Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity

Position Expectations

• Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement
• Drive the architectural vision and long-term technical roadmap for the Code Gen product suite, ensuring it is scalable, reliable, and performant
• Collaborate closely with Product Managers and other stakeholders to define product features and translate business requirements into robust technical designs
• Lead the design and implementation of complex, mission-critical components of AMP’s code transformation toolset
• Champion and enforce engineering best practices through design reviews, code reviews, and by setting a high standard for quality and operational excellence
• Act as a hands-on leader, guiding the team through complex technical challenges and contributing to the codebase where necessary

Success Measures

Within the first three months, you will have:

• Fully ramped up on our architecture, business domain, and team processes
• Establish yourself as the technical leader within the team, actively driving technical discussions, design reviews, and planning for the product roadmap
• Begin mentoring team members and building strong collaborative relationships with your product counterparts

Within six months, you will have:

• Successfully led the team to deliver a major feature or product release
• Made significant contributions to the architectural roadmap and started influencing the technical direction of adjacent teams
• Established a clear rhythm of execution and a high-performing culture within your team

Within 12 months, you will have:

• Become recognized as the go-to technical expert for the code transformation domain at MongoDB
• Delivered large-scale features across the entire tech stack that have a measurable impact on our customers and business
• Played a crucial role in recruiting, hiring, and growing the engineering team

About MongoDB

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

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

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

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

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

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

REQ ID: 1273362479

MongoDB is building a world-class team in North America to create tooling that helps customers modernize their applications and migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise legacy workloads and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Code Generation and Data Migration team are critical in this journey, helping customers with schema modeling, code generation, initial data loads, and continuous data synchronization.

We're looking for a Senior Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and data-intensive applications to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation and  building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React.You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers, product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.

This role will be based out of North America in the PST and MST zones only.

The ideal candidate for this role will have

• 2+ years of  engineering experience in backend systems, distributed systems, or core platform development
• Experience in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory management, and performance tuning
• Experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
• Experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
• Exposure to client-side technologies such as JavaScript and React is a plus
• Good understanding of algorithms, data structures and their time and space complexity
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills

Nice to Have

• Familiarity with cloud-native distributed systems (e.g., Kubernetes)
• Experience with NoSQL databases and understanding of their trade-offs is great, but not required. We'll teach you NoSQL
• Contributions to relevant open-source projects

Position Expectations

• Contribute high-quality, well-tested backend code to the data migration engine and core components of our generative AI orchestration platform
• Collaborate effectively with Product Management, AI researchers and machine learning engineers and designers to build and deliver on the product roadmap
• Work to develop robust and efficient backend services that orchestrate AI functionalities
• Identify and address performance bottlenecks and architectural challenges in our systems, particularly within data flow and orchestration
• Participate actively in code reviews to enforce best practices and patterns
• Help troubleshoot and resolve complex technical issues in our distributed systems
• Give and solicit feedback on technical design documents and pull requests
• Perform tasks related to process such as CI/CD, quality, testing, etc 

Success Measures

Within the first three months, you will have:

• Familiarize yourself with the MongoDB database and aggregation language
• Familiarize yourself with the backend tech stack including Java, Spring Boot, and Kafka
• Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
• Started collaborating with your peers and contributed to code reviews

Within six months, you will have:

• Familiarised yourself with the rest of our the application modernization tool stack
• Delivered at least one large scale feature that spans the entire tech stack
• Reviewed and contributed to scope and technical design documents

Within 12 months, you will have:

• Become a key contributor to our backend stack, capable of taking on complex features independently
• Helped recruit and interview new members of the team
• Collaborated effectively with other teams at MongoDB on cross-functional projects

About MongoDB

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

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

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

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

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

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

REQ ID: 425547

We are seeking an experienced PostgreSQL Senior Database Administrator to help lead our database team. The ideal candidate will have a robust background in database administration, architecture, and PostgreSQL development. The DBA will be responsible for ensuring the performance, integrity, and security of the unit’s PostgreSQL databases.   

Responsibilities and Duties:

• Design and implement database architectures that support business requirements and achieve high performance, availability, and security.
• Oversee the installation, configuration, and maintenance of PostgreSQL databases.
• Conduct performance tuning of database systems, including queries, stored procedures, and indexing strategies.
• Develop and implement database backup, recovery, and failover procedures.
• Assist in the design and development of data models and database solutions.
• Collaborate with development teams to optimize database code in application layers.
• Provide guidance on database best practices to IT staff and other stakeholders.
• Ensure database infrastructure is up-to-date with the latest technology trends and security patches.
• Develop and maintain documentation regarding database configurations, architectures, and procedures.
• Serve as the point of contact for database-related queries and technical support.  

Basic Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field
• Strong expertise in PostgreSQL database administration, tuning, management, and security
• Proficiency in SQL and experience with PL/SQL or similar procedural language
• Experience in Oracle to Postgres conversion/migration (metadata & data)
• Experience in Oracle 19C/21C and Postgres 16/17 database administration, support, implementation, configuration and upgrade.
• Familiarity with database design, documentation, and coding
• Previous experience with Linux/Unix and scripting languages such as Bash, Python, or Perl
• Knowledge of high availability and disaster recovery options for PostgreSQL
• Good understanding of hardware performance, memory and I/O
• Active TS clearance required with ability to obtain SCI

Preferred Qualifications:

• PostgreSQL certification (e.g., PostgreSQL Certified Engineer)
• Experience with cloud services (AWS, Azure, OCI) and containerization technologies (Docker, Kubernetes)
• Familiarity with other database systems (e.g. Oracle and MSSQL

#LI-PublicSafety 

FEQ227R170

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 6+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

THE ROLE:

Are you passionate about driving innovation in the data storage industry? Are you skilled in crafting technical solutions that exceed customer expectations? If so, we have an exciting opportunity for you! Everpure (formerly Pure Storage), a leader in the data storage and flash technology space, is seeking a talented and motivated Senior Pre-Sales Systems Engineer to join our dynamic team. 

As a Senior Pre-Sales Systems Engineer, you will play a crucial role in understanding our customers' unique challenges and tailoring Everpure solutions to meet their specific needs. Collaborating closely with the sales team, you will act as a technical expert during the sales process, helping to showcase the value of our products and services.

WHAT YOU’LL DO:

• Develop an exhaustive understanding of what drives a customer’s business and what motivates their decision making
• Connect the dots from technology solutions, inclusive of the Everpure portfolio and others from the ecosystem, to measurable customer business outcomes
• Partner closely with account managers, specialists and channel partners to create a seamless and holistic customer experience and strategy to drive revenue growth and net new business
• Delight customers and teammates with your technical leadership and domain expertise on storage products, distributed storage architectures, file systems, and competitive storage offerings in the DAS, NAS and SAN product spaces
• Take control of evaluations,  benchmarks and system configurations
• Build and deliver technical product and architecture presentations with vigor to customers and lock in the technical win with clients and prospective accounts
• Capture requirements and translate Customer’s business needs into innovative solutions to accelerate their growth and capacity
• Seek out and spur new opportunities for interoperability, functional, and performance testing/validation
• Promote mutual roadmap and planning exchanges
• Liaise with product and technical marketing to produce materials (i.e. whitepaper, web presentations) that support overall alliance plans and objectives
• Stay current with the competition and ensure that materials accurately reflect the latest, differentiated solution positioning
• Move with market trends and competitive landscape to promote thought leadership within our organization
• Lead by example living the Everpure Values:  Persistence, Creativity, Teamwork, Ownership and Customer-first  

WHAT YOU BRING:

• Pre-sales experience is required
• 5 or more years of relevant experience, mixed among technology, design, and communications required. Experience supporting the sales of enterprise storage, networking, systems, cloud, or software to enterprise accounts preferred
• Deep understanding of the architecture, design and implementation of multi-tiered client/server and web-based computing solutions
• Must have a familiarity with modern web architecture a plus (LAMP stack, scale-out vs scale-up architectures, AWS well-architected framework, microservices architecture)
• Prior experience in targeting new prospects and converting them into clients
• Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs
• Superior knowledge of current and emerging storage architectures (FC, iSCSI, NAS, OSD, SAN)
• Previous experience with Linux, NFS file systems and Linux distributed network environment
• Installation/configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache architectures, windowing systems
• Strong knowledge of digital transformation to a Cloud Native architecture, On-Prem, Public Cloud, Provisioning Automation, and Containers
• Knowledge of VMware, Local Area Networking, Ethernet, TCP/IP and general networking
• Familiarity with AWS, Azure, GCP, containers, k8s and microservices architectures a plus
• Curiosity and passion around technology and explaining and showing new technology platforms and concepts to customers
• Familiarity with storage-intensive applications and their requirements such as structured databases (SQL, Oracle) is highly desirable
• Excellent verbal and written interpersonal skills

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The impact you'll be contributing to Moloco:
Product Analytics Data Science (PDS) is the data science team that works closely with the R&D team on our core Ads product. As a Staff Data Scientist, you will drive performance improvement in our product through a deep understanding of the ads ecosystem (supply, demand, bidding, fraud detection) and customer needs, and provide the data driven insight and scientific solutions.

Here’s what you’ll be working on:

• This leader will own the multi-year strategy, roadmap, and execution across the ads supply ecosystem:
  • Supply Exchange & Inventory Integrations: Drive Moloco’s OpenRTB integrations with top-tier third-party supply partners and exchanges, expanding Moloco’s access to high-quality, global, multi-format inventory across gaming and non-gaming verticals.
  • Lead Moloco’s end-to-end General Supply strategy, including Exchange integrations, OpenRTB supply diversification, publisher onboarding, and supply ecosystem expansion.
  • Define, evangelize, and deliver a multi-year supply vision that improves supply quality, scalability, integration reliability, and long-term differentiation
• Conducting deep-dive analysis and experiments to influence product decisions and strategies: analyzing large datasets with queries and scripts, extracting valuable signals out of noise, and producing actionable insights into how we could improve Moloco’s complex ML and bidding system to drive outcomes for customers.

Basic Qualifications

• Distinctive problem-solving skills, ability to articulate product questions, pulling data from large datasets and using statistics to arrive at a recommendation; ability to manage multiple projects at the same time. 
• Proven ability to own complex projects end-to-end, even when you have to get creative: you do more than completing delegated tasks and always pay attention to detail to translate analysis results into business recommendations. 
• Excellent verbal and written communication skills, with ability to present information and analysis results effectively.
• Statistics: strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models.
• Programming: experience with Python, R or other scripting language, and database language (e.g. SQL) or data manipulation (e.g. Pandas, Dplyr).
• Ability to build positive relationships within the DS team and with our stakeholders, and work effectively with cross-functional partners in a global company.
• 6+ years of work experience (industry or postgraduate) in data science related fields or an advanced degree such as Master’s or PhD in a quantitative discipline with 4+ years of experience.

Preferred Qualifications:

• Advanced degree. PhD is highly desirable. 
• Deep expertise in the programmatic supply ecosystem, including ad exchanges, SSPs, OpenRTB protocols, auction mechanics, and cross-platform integration
• Demonstrated ability to drive cross-org alignment, influence senior stakeholders (Directors/VPs), and execute through large engineering teams
• Familiarity with publisher ad servers, targeting logic, and impression delivery workflows
• Deep knowledge of supply-side performance metrics such as fill rate, eCPM, latency, bid density, impression opportunities, and unique users—and how to optimize for them
• Hands-on experience with integrations and partner-facing APIs, including defining requirements for interoperability with DSPs, exchanges, ad networks, DMPs, and other adtech partners

Expression of Interest

We know that for the most talented engineers, the right opportunity is about more than just a job title, it’s about the right challenge at the right time. Even if our current openings don't perfectly fit your timing and interests today, we still want to hear from you. We view this as a priority pathway to connect with curious, driven MLEs whose unique expertise can help us architect the next generation of planet-scale ML systems. 

At Moloco, our mission is to empower the global digital economy by turning massive first-party data into measurable business outcomes. Whether it’s optimizing real-time bidding for Moloco Ads or building AI-native stacks for Streaming and Commerce, we’re looking for engineers to help us lead the shift toward a more performance-driven, AI-powered internet.

If you’re excited to scale and innovate in a fast-moving environment, share your profile and we will reach out the moment we see a potential match for your experiences and future goals.

About the Role

As a Machine Learning Engineer at Moloco, you will design, train, and deploy the large‑scale models that power our programmatic advertising and commerce media products. You will work at the heart of our real-time bidding and pricing systems, helping shape an end-to-end ML ecosystem that processes billions of daily events. Your work will directly improve marketplace performance for global advertisers and publishers by optimizing for relevance, ROI, and user experience at a scale few companies can match.

The Opportunity

• Architect and iterate on high-performance models that improve ad relevance, click-through rates, and conversion performance.
• Productionize and maintain scalable ML pipelines - from data ingestion to online inference - on top of planet-scale infrastructure.
• Extract insights from massive datasets of user behavior and auction signals to define new features and refine modeling strategies.
• Translate business goals (revenue, ROI, engagement) into concrete modeling challenges and success metrics in collaboration with Product and Data Science.
• Validate innovation through rigorous experimentation, including A/B tests, offline evaluations, and counterfactual analyses.
• Balance marketplace health by implementing models that harmonize advertiser value with a high-quality user experience.
• Enhance system reliability by refining feature stores, monitoring data quality, and establishing robust debugging practices.
• Drive platform evolution, contributing to ML tools and guidelines that increase experimentation velocity and deployment speed.
• Optimize for performance, partnering with Infra teams to reduce latency and improve throughput for low-cost, high-scale decisioning.
• Elevate technical excellence by sharing best practices in modeling and production ML with the broader engineering team.

Expertise We Value:

MLEs at Moloco are hands-on builders of some of the world’s highest-scale ML workloads. They bridge technical innovation with global revenue outcomes, owning the critical systems that define our next generation of machine learning and optimization platforms.

While every journey is unique, we find that the most successful MLEs at Moloco bring a deep technical foundation in the following areas:

• Production ML at Scale: 5-12+ years of experience delivering ML solutions in high-stakes production environments (e.g., Ads, Recommenders, Search, or Marketplaces), with a track record of scaling models for massive throughput and low-latency requirements.
• Algorithmic Mastery: A strong foundation in ML and statistics applied to real-world business challenges, with expertise in areas such as ranking, calibration, exploration-exploitation, causal inference, or multi‑objective optimization.
• Full-Lifecycle Engineering: Deep understanding of the end-to-end ML lifecycle, including data pipelining, feature engineering, model architecture, inference optimization, and the deployment of models into online systems.
• Technical Versatility: Proficiency across a modern ML toolkit (Python, SQL, and frameworks like TensorFlow or PyTorch) and experience leveraging data processing stacks like Spark, Beam, or Flink to deliver results at scale.
• Operational Stewardship: Experience ensuring the long-term health of ML systems in live environments—monitoring performance, diagnosing drift, and iterating based on real-world feedback to maintain measurable impact.
• Technical Mentorship: A passion for advancing the team’s collective bar by sharing best practices for large-scale ML systems and guiding the technical direction of complex machine learning initiatives.

Our Tech Stack:

• Languages: Python, Go, C++
• ML Frameworks: TensorFlow, PyTorch, JAX
• Infrastructure: GCP, AWS, Kubernetes, Spark, BigQuery, BigTable

How You Work: 

• Your ethos is ownership
• You thrive in ambiguity and enjoy partnering with others to shape vague requirements into clear roadmaps with pragmatic tradeoffs.
• You take shared accountability for the end-to-end journey; communicating progress, surfacing risks early, and following through to ensure your work creates measurable value.
• You demonstrate strong judgment under uncertainty. 
• You prioritize based on long-term impact, over short-term noise, making deliberate decisions when information is incomplete.
• You explicitly weigh tradeoffs like speed vs. quality and remain agile enough to adjust your approach thoughtfully as new information/data emerges.
• You lead through clarity and active listening. 
• You reduce ambiguity for the team by asking the right questions upfront, tailor your communication to your audience, document your decisions, and bring helpful structure to complex discussions. 
• You provide thoughtful, evidence-based feedback when needed and align behind decisions once they are made.
• You collaborate early, instead of solving in isolation.
• You build trust across the organization by listening first and navigate conflicting needs with empathy, creating buy-in around priorities and scope. 
• You navigate technical tensions productively, disagreeing thoughtfully while maintaining momentum and strengthening professional relationships.
• You fall in love with the problem, not the solution
• You build for the long run, looking beyond immediate tasks to understand root causes, second-order effects, and the long-term health of our ML ecosystem. 
• When something breaks, you don’t just patch it; you seek structural improvements that prevent recurrence and elevate the technical bar for the entire organization.
• You prioritize customer impact and take action to make it real.
• You prioritize effective solutions that drive business impact over technical elegance, spotting opportunities that others might overlook. 
• You have the initiative to turn ideas into outcomes and the agency to identify and fix gaps, even when they aren’t yet on the formal roadmap.

You can apply for this role through our Open Positions page (or through our Internal Job Board if you are a current employee). We will review submissions on an ongoing basis.

The impact you'll be contributing to Moloco:
Product Analytics Data Science (PDS) is the data science team that works closely with the R&D team on our core Ads product. As a Senior Data Scientist, you will drive performance improvement in our product through a deep understanding of the ads ecosystem (supply, demand, bidding, fraud detection) and customer needs, and provide the data driven insight and scientific solutions.

Here’s what you’ll be working on:

Our team is responsible for:

• Conducting deep-dive analysis to influence R&D decisions and strategies: analyzing large datasets with queries and scripts, extracting valuable signals out of noise, and producing actionable insights into how we could improve Moloco’s complex ML and bidding system to drive outcomes for customers. 
• Evaluating ads integrity: understanding changes and drivers of our complex systems, diagnosing fraud claims and mitigating fraud escalations through a set of input/output metrics of each component.
• Building the right metrics to measure campaign health: improving campaign performance monitoring by establishing the right metric framework, and understanding cause-and-effect relationships across drivers

Basic Qualifications

• Distinctive problem-solving skills, ability to articulate product questions, pulling data from large datasets and using statistics to arrive at a recommendation; ability to manage multiple projects at the same time. 
• Proven ability to own complex projects end-to-end, even when you have to get creative: you do more than completing delegated tasks and always pay attention to detail to translate analysis results into business recommendations. 
• Excellent verbal and written communication skills, with ability to present information and analysis results effectively.
• Statistics: strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models.
• Programming: experience with Python, R or other scripting language, and database language (e.g. SQL) or data manipulation (e.g. Pandas, Dplyr).
• Ability to build positive relationships within the DS team and with our stakeholders, and work effectively with cross-functional partners in a global company.
• 6+ years of work experience (industry or postgraduate) in data science related fields or an advanced degree such as Master’s or PhD in a quantitative discipline with 4+ years of experience.

Bachelor’s, Master’s and/or PhD in a quantitative discipline (e.g. Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering).

About the role:

As a Product Support Specialist, you’ll be at the front lines of safely delivering AI to the world by responding to, investigating, and tracking user needs in your day to day. Additionally, you’ll help us identify – and close – gaps in our team’s technical knowledge, provide high-touch support to strategic customers, and demonstrate deep care for how we systematically support customers at scale. 

Responsibilities:

• Become an expert in all Anthropic products
• Respond to user support cases with a variety of complexity, from questions for individuals to complex API debugging for large businesses 
• Clearly and empathetically communicate with a wide range of user personas, context-switching between guiding executives in a high-touch model to assisting consumer users in a rapid pace
• Manage on-call tasks for high-urgency user issues with extreme ownership
• Prioritize critically and comfortably adapt to an ever-evolving product landscape
• Operate in ambiguity, making informed decisions even in never-before-seen situations
• Partner with engineers, teammates, and other internal stakeholders to diagnose and resolve user issues, both individually and at scale
• Suggest and drive improvements to increase user satisfaction through support processes as well as own initiatives that increase efficiency and drive down contact rates
• Uplevel our team’s technical knowledge by scoping gaps, working with cross-functional partners to deeply understand relevant nuances, and building resources that grow with our products

You may be a good fit if you:

• 3 - 5 years of relevant experience in technical product support in a high growth tech company, including API debugging, preferably in a second tier, escalated, or priority support team
• Are familiar with APIs and technical SaaS products and can deeply understand technical docs with ease
• Have demonstrated an ability to thrive in fast-paced, reactive situations while meeting core support metrics targets (e.g. CSAT, SLA, etc.)
• Possess strong user empathy and are expert in the lifecycle of a support case; you can read between the lines of a user’s question, put yourself in their shoes, and get at the heart of their needs for a speedy, satisfying resolution
• Have crisp but kind written communication skills and a deep care for the details
• Enjoy helping others learn about new features and complex concepts
• Experience troubleshooting SSO, SAML, and OAuth authentication flows
• Are persistent and curious; you delight in the hunt of tracking down a bug or issue, and are energized by fixing this for all similar users going forward
• Have experience contributing to the foundations of a support team – this is essential, highly valuable, but often unglamorous work
• Are proficient at working in a technical environment and are interested in Anthropic’s products
• Possess a deep sense of ownership, and are excited to help us build our team!

Strong candidates may also have:

While not required, we're particularly excited about candidates with one or more of these specializations:

• Comfort with command line interfaces and basic scripting (Bash, Python, JavaScript)
• Understanding of LLM capabilities, practical applications, and current limitations
• Familiarity with enterprise networking concepts and IT infrastructure
• Familiarity with Git workflows and version control concepts
• SQL proficiency for querying logs and investigating issues
• Experience supporting government or public sector customers, including familiarity with compliance requirements and security frameworks
• Background in team lead roles or managing contract/vendor support teams

We're hiring across a range of experience levels to build depth in both technical capabilities and enterprise support.

The Technology, Data, and Intelligence Team 

Okta is the leading independent identity provider. The Technology, Data, and Intelligence (TDI) organization is the engine that powers Okta's global workforce, providing the technology and systems that enable our employees to do their best work.

The Staff Data Scientist Opportunity

We are looking for a Staff Product Data Scientist to join our Data & Insights team. This role will lead the strategy, development, and operationalization of advanced analytics and machine learning solutions that power data intelligence for Okta’s Product Management teams, uncovering actionable insights on customer behavior, product engagement, and opportunities that will drive our product growth strategy. You’ll define the long-term data science roadmap while partnering closely with Okta’s diverse Product Management teams and executive leadership.

What you’ll be doing 

• Strategic Product Influence: Collaborate closely with Product Managers and leadership to provide insights that will help drive product strategy and roadmaps, ensuring decisions are grounded in a data-driven approach.
• Advanced Analytics and Modeling: Build and deploy statistical and machine learning models (e.g., predicting churn, lifetime value, feature adoption) to forecast user behavior and product growth opportunities in order to help influence roadmap decisions.
• Deep-Dive Insight Generation: Conduct thorough exploratory analysis on extensive, complex datasets to uncover key drivers of user adoption and engagement, identifying unseen opportunities for significant product improvement.
• Data Ecosystem Partnership: Work with data engineering, analytics engineering, and data analysts to shape and enhance the foundational data infrastructure necessary for scalable ML and advanced analytics initiatives.
• Data Preparation and Curation: Develop and construct usable data sets by integrating and manipulating information from various disparate data sources as needed.
• Executive Communication and Influence: Translate intricate data insights into clear, compelling narratives for executives, product managers, and engineers, effectively influencing crucial business and product decisions.

What you’ll bring to the role

• 7+ years of experience in data science or ML, including 3–5 years in a senior, staff, or technical leadership role.
• Deep understanding of product analytics and data science frameworks, with a proven history of designing and analyzing product data to solve complex, ambiguous business problems and deliver measurable results.
• Demonstrated ability to apply cutting-edge AI tools to accelerate the discovery of deep, actionable insights from complex product data.
• Demonstrated ability to translate data insights into product impact and formulate strategic, data-driven recommendations.
• Deep expertise in machine learning algorithms (supervised, unsupervised, NLP, forecasting, optimization) and statistical modeling.
• Strong proficiency in Python, SQL, and leading ML libraries.
• Excellent communication skills and a proven ability to influence Product and executive partners.

And extra credit if you have experience in any of the following! 

• Experience in high-growth SaaS, cybersecurity, identity, or enterprise software environments.
• Prior ownership of ML platform/tooling decisions and evaluations.
• Experience enabling self-service analytics or citizen data science capabilities.

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The Field Analytics Team

As part of Okta’s Go-To-Market Strategy & Operations group, the Field Analytics team is the primary engine for strategic analysis, enabling our leaders to make evidence-based decisions that determine the trajectory of Okta’s growth.

Manager, Field Analytics Opportunity

We are looking for a Manager, Field Analytics to serve as a strategic partner of our Solutions Engineering and Partner organizations. You will transform complex data into actionable strategies, identifying key revenue drivers and building scalable analytical frameworks that directly influence Okta's strategic direction.

You will act as the primary liaison between our data infrastructure and our most technical go-to-market branches. Your mission is to build scalable, flexible reporting that drives proactive insights that optimize technical sales productivity and accelerate partner-led growth while championing the adoption of emerging AI capabilities. 

Impact & Responsibilities:

• Strategic Partnership: Act as a dedicated analytics lead for the Pre-Sales and Partners operations and leadership teams. Develop deep relationships to understand their business rhythms and operational needs, translating complex business questions into analytical frameworks.
• AI Readiness & Innovation: Lead the "AI readiness" initiative for field data. This includes exploring AI solutions to help pre-sales and partner teams drive growth, document processes, and brainstorm innovative ways to use AI tools for internal productivity.
• Analytics Delivery: Design, build, and maintain high-visibility Tableau dashboards and reporting assets. You will work in close partnership with our offshore delivery team to progress work faster and scale foundation reporting while you focus on high-complexity strategic projects.

Required Skills & Qualifications: 

• 6+ years in an operational and analytical capacity (Sales Operations, Business Intelligence, or Revenue Analytics), preferably within a fast-paced SaaS environment.
• Expert-level proficiency in SQL (Snowflake), BI Visualization tools (Tableau), and CRM data (Salesforce).
• Proven ability to build advanced analytical models (e.g., productivity modeling, variance analysis) and high-visibility dashboards.
• Ability to look beyond the "what" to the "why" and "so what," providing actionable recommendations that change business behavior.
• Exceptional written and verbal communication skills, with a proven ability to distill complex technical findings into strategic narratives for senior executives.
• A relentless curiosity and a desire to "build it and own it," working both independently and collaboratively across a global delivery model.

Preferred Qualifications: 

• Track record of experimenting with AI tools (e.g., Gemini, ChatGPT, Claude Code) or implementing AI-based workflows to optimize data modeling and automate documentation.
• Proficiency with scripting languages (Python) and modern data modeling frameworks (dbt).
• Prior experience supporting a Solutions Engineering or Partner/Channel organization.
• Experience in SaaS GTM.

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The Pricing Strategy Team
Okta’s Pricing Strategy team partners across Product, Finance, Sales, and Operations to shape how we package, price, and monetize our portfolio globally. We sit at the intersection of strategy and analytics, translating market signals and customer behavior into clear recommendations that drive growth and value capture. The team’s work is highly cross-functional and directly influences executive decision-making and field execution.

The Principal Data Scientist, Pricing Strategy Opportunity
Reporting to the Head of Pricing Strategy, this role will lead the data science and analytics strategy that underpins portfolio-level pricing and packaging decisions. You’ll combine strong quantitative rigor with strategic thinking to design measurement approaches, build and operationalize models, and run test-and-learn pilots that inform high-impact monetization programs. You will partner closely with senior leaders across Product and GTM to turn ambiguous questions into actionable insights, recommendations, and scalable execution plans.

What you’ll be doing

• Strategic Pricing Influence: Partner with Product, GTM, and Finance leadership to inform portfolio-level pricing, packaging, and discount strategy with data-driven recommendations
• Advanced Analytics and Modeling: Build and operationalize models and analytical frameworks to forecast pricing impact, customer behavior, and revenue outcomes across segments and geographies
• Experimentation and Pilots: Design and evaluate pilots and test-and-learn programs for new pricing initiatives, defining success criteria and measurement plans
• Deep-Dive Insight Generation: Analyze large, complex datasets to uncover drivers of purchasing, discounting, retention, and monetization performance
• Metrics and Dashboard Development: Establish the right KPIs and build dashboards to monitor monetization strategy effectiveness and the ROI of pricing initiatives in real time
• Data Foundation Partnership: Work with Okta Data teams to shape and enhance the foundational data required for pricing analytics initiatives
• Cross-Functional Execution Partnership: Translate strategy and insights into operational requirements, working with stakeholders across Sales, Legal, and Systems teams to enable implementation and adoption

What you’ll bring to the role

• 8+ years of experience in data science, analytics, pricing, strategy consulting, or a related quantitative field (B2B SaaS preferred)
• Proven ability to apply statistical rigor and structured analytics to ambiguous business problems and deliver measurable impact
• Experience designing measurement approaches for business initiatives (e.g., pilots, rollouts, test-and-learn), and communicating results with clarity
• Strong proficiency in SQL and Python, with experience working in modern data environments (e.g., Snowflake) and BI tools (e.g., Tableau)
• Ability to synthesize complex data using quantitative approaches, translate findings into clear visualizations, and deliver executive-ready insights and recommendations
• Demonstrated ability to influence cross-functional senior stakeholders and lead through ambiguity with strong collaboration and ownership

And extra credit if you have experience in any of the following!

• Experience in pricing, packaging, monetization, or growth strategy for multi-product SaaS portfolios
• Familiarity with forecasting, optimization, or causal measurement methods in a business context
• Experience partnering with Sales/GTM teams to drive adoption of new programs and measure field impact

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The Global Data & Insights Team

Okta's Enterprise Data & Insights team powers the data infrastructure that drives decision-making across the company by building reliable pipelines, scalable data platforms, and production-grade data products. We partner closely with internal Data and Insights Analysts as well as external Okta Product teams to unlock business value through robust data architecture, efficient data movement, and the engineering foundations that make data trustworthy at scale.    

The Senior Analytics Engineer, Marketing Opportunity

We are seeking a Senior Analytics Engineer to serve as the technical architect of our marketing data engine. You will own our marketing attribution logic and end-to-end funnel performance data, evolving our current processes into an enterprise-grade ecosystem. Your mission is to uncover the high-fidelity signals that drive new customer acquisition and maximize expansion within our existing base. You’ll tackle a sophisticated roadmap of advanced analytics, transforming raw touchpoints into a trusted, scalable framework for growth.

This role sits at the intersection of business context and technical execution. You will design scalable data models, define consistent business logic, and help establish a strong semantic foundation that enables both human analytics and machine-driven intelligence.

You will partner closely with Marketing stakeholders, Data Analysts, Data Scientists, and Data Engineers to ensure data is accurate, consistent, and easy to consume; whether through dashboards, self-service exploration, or AI-powered workflows.

What you’ll be doing

Data Modeling & Semantics

• Design, build, and maintain scalable data models using dbt and Snowflake
• Define and standardize core Marketing metrics (e.g., pipeline, campaign performance, attribution, conversion rates)
• Establish consistent modeling patterns, naming conventions, and semantic clarity across datasets
• Contribute to a shared semantic layer that enables consistent reporting across channels and tools

AI-Ready Data & Snowflake Ecosystem

• Prepare high-quality, well-governed datasets for use with Snowflake Cortex and Snowflake Intelligence
• Enable data foundations that support LLM-powered use cases such as campaign insights, segmentation, and performance optimization
• Ensure data is context-rich, well-documented, and aligned with business meaning to improve AI accuracy and usability

Data Quality, Governance & Trust

• Implement robust testing, validation, and documentation practices in dbt
• Ensure consistency across dashboards and marketing tools through shared definitions and reusable models
• Apply data governance best practices, including access controls, lineage, and auditability
• Partner across teams to establish clear ownership of marketing data assets and definitions

Collaboration & Delivery

• Partner with Marketing, Customer First, and Analytics teams to translate business needs into scalable data solutions
• Support self-service analytics by building intuitive, reusable datasets across channels (e.g., digital, lifecycle, events)
• Contribute to scalable data workflows that balance immediate campaign needs with long-term maintainability
• Work within an agile environment, contributing to planning, prioritization, and continuous improvement

AI and Data Mindset

• Demonstrate an AI-first mindset, thinking beyond data models and dashboards to how data can power intelligent systems and decision-making
• Understand the importance of well-modeled, well-documented, and semantically clear data for AI and LLM-based use cases
• A level of comfort leveraging AI-assisted workflows to improve productivity, code quality, and consistency
• Curiosity for emerging capabilities in platforms like Snowflake Cortex and Snowflake Intelligence, and how they can be applied to Marketing analytics

What you’ll bring to the role

• 5–8+ years of experience in Analytics Engineering, Data Engineering, or similar roles
• Strong SQL skills and experience building analytics-ready data models
• Mentorship & Engineering Excellence: Mentorship, raising the technical bar, establishing organization-wide standards for dbt/SQL quality and CI/CD
• Hands-on experience with dbt and Snowflake or other ETL, Modeling and database platforms
• Solid understanding of data modeling principles, including dimensional modeling and semantic design
• Experience working with Marketing data (e.g., campaign data, web analytics, CRM, attribution models)
• Familiarity with tools such as Salesforce, Marketo, Google Analytics, or similar platforms
• Experience with data quality, testing, and documentation best practices
• Exposure to Python, R, or data processing frameworks (e.g., PySpark) is a plus
• Experience with BI tools such as Tableau or Looker
• Strong communication skills and ability to work across technical and business teams

What you can look forward to as an Okta employee!

• Amazing Benefits
• Making Social Impact
• Fostering Diversity, Equity, Inclusion and Belonging at Okta 
• Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.

Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/. 

Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/.

Okta is an Equal Opportunity Employer/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws. If reasonable accommodation is needed to participate in the job application or interview process, please use this Form to request an accommodation.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy at https://www.okta.com/privacy-policy/.

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About the Team

As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.

Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it.

Why This Role

Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.

If you want to define what analytics looks like in an AI-first company, this is it.

What You'll Do

Build Proactive Intelligence Systems

• Design and deploy AI agents that monitor business performance and surface actionable insights without being asked

• Architect systems that shift analytics from "answering questions" to "anticipating needs"

• Create intelligent alerting that distinguishes signal from noise and recommends specific actions

Create AI-Powered Analytics Tools

• Develop natural language interfaces that let business leaders query data conversationally

• Build semantic layers that translate business concepts into data structures optimized for LLM reasoning

• Ship internal tools that transform how Opendoor makes decisions at every level

Own the Analytics-to-Action Pipeline

• Design data models that support automated analysis, pattern detection, and AI agent interactions

• Build workflows that connect insight generation to recommended actions

• Establish feedback loops that make our AI systems smarter over time

Drive Leverage Across the Business

• Identify high-value opportunities where AI can augment human decision-making

• Implement end-to-end solutions using Claude, custom agents, and modern AI tooling

• Measure impact rigorously—we care about decisions influenced, not dashboards built

We're Looking for Teammates Who Have

Technical Foundation

• 5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership

• Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption

• Strong Python proficiency for data engineering, automation, and AI agent development

• Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)

AI & Automation Expertise

• Hands-on experience building and deploying AI agents or LLM-powered applications in production

• Deep understanding of LLM capabilities, limitations, and prompt engineering best practices

• Experience architecting semantic layers or natural language interfaces for data access

• Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions

Analytics & Business Acumen

• Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions

• Strong analytical intuition—you know what questions matter before they're asked

• Experience translating ambiguous, cross-functional business problems into technical solutions

• History of operating autonomously and setting direction, not just executing on defined projects

Leadership & Influence

• Experience mentoring other analysts or engineers, formally or informally

• Demonstrated ability to influence senior stakeholders and drive alignment across teams

• Comfort operating in ambiguity and shaping strategy, not just responding to it

• Track record of building systems and processes that scale beyond yourself

Builder Mindset

• You ship products, not just dashboards 

• You'd rather build something useful in a week than something perfect in a quarter

• You measure success by business impact, not technical complexity

• You're energized by creating leverage—building once so others benefit forever

Bonus Points If You Have

• Experience in real estate, fintech, or marketplace businesses

• Background in marketing analytics, sales operations, product analytics, or pricing/economics

• History of building tools or platforms that replaced recurring analyst work

• Experience leading technical projects or small teams

About the Team

As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.

Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it.

Why This Role

Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.

If you want to define what analytics looks like in an AI-first company, this is it.

What You'll Do

Build Proactive Intelligence Systems

• Design and deploy AI agents that monitor business performance and surface actionable insights without being asked

• Architect systems that shift analytics from "answering questions" to "anticipating needs"

• Create intelligent alerting that distinguishes signal from noise and recommends specific actions

Create AI-Powered Analytics Tools

• Develop natural language interfaces that let business leaders query data conversationally

• Build semantic layers that translate business concepts into data structures optimized for LLM reasoning

• Ship internal tools that transform how Opendoor makes decisions at every level

Own the Analytics-to-Action Pipeline

• Design data models that support automated analysis, pattern detection, and AI agent interactions

• Build workflows that connect insight generation to recommended actions

• Establish feedback loops that make our AI systems smarter over time

Drive Leverage Across the Business

• Identify high-value opportunities where AI can augment human decision-making

• Implement end-to-end solutions using Claude, custom agents, and modern AI tooling

• Measure impact rigorously—we care about decisions influenced, not dashboards built

We're Looking for Teammates Who Have

Technical Foundation

• 5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership

• Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption

• Strong Python proficiency for data engineering, automation, and AI agent development

• Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)

AI & Automation Expertise

• Hands-on experience building and deploying AI agents or LLM-powered applications in production

• Deep understanding of LLM capabilities, limitations, and prompt engineering best practices

• Experience architecting semantic layers or natural language interfaces for data access

• Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions

Analytics & Business Acumen

• Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions

• Strong analytical intuition—you know what questions matter before they're asked

• Experience translating ambiguous, cross-functional business problems into technical solutions

• History of operating autonomously and setting direction, not just executing on defined projects

Leadership & Influence

• Experience mentoring other analysts or engineers, formally or informally

• Demonstrated ability to influence senior stakeholders and drive alignment across teams

• Comfort operating in ambiguity and shaping strategy, not just responding to it

• Track record of building systems and processes that scale beyond yourself

Builder Mindset

• You ship products, not just dashboards 

• You'd rather build something useful in a week than something perfect in a quarter

• You measure success by business impact, not technical complexity

• You're energized by creating leverage—building once so others benefit forever

Bonus Points If You Have

• Experience in real estate, fintech, or marketplace businesses

• Background in marketing analytics, sales operations, product analytics, or pricing/economics

• History of building tools or platforms that replaced recurring analyst work

• Experience leading technical projects or small teams

The work: 

Key Responsibilities:

ABOUT THE TEAM

Anduril's Detection and Response team is looking for a Security Operations Analyst to be the watchtower for Anduril's critical defense technologies. As a SecOps Analyst on the detection and response team, you'll be responsible for monitoring and responding to adversarial activity while helping incorporate key detection feedback loops with the detection engineering team. As a Senior SecOps Analyst, you will serve as an incident commander alongside other senior analysts. When not responding to threats, you'll be asking questions of our data sets, conducting threat hunting and data normalization operations across the organization to understand user behavior and identify anomalies. 

WHAT YOU'LL DO

• Triage and respond to alerts / incidents covering multiple disciplines including, but not limited to, phishing, endpoints, cloud infrastructure and services, and SaaS applications
• Build and optimize tailored detection signatures, response playbooks, and response automation using detection-as-code principles
• As the frontline of DNR, you will lead the feedback loop for detections, ensuring alerts are fine tuned to reduce false positives
• Participate in threat modeling scenarios with cross-functional partners to understand weaknesses across Cloud, Mobile, Endpoints, and other environments incorporating findings into security controls and/or detection signatures
• Organize and conduct threat hunting and data baselines to identify anomalous patterns in data
• Participate in an on-call rotation responding to security events and conducting incident response investigations while effectively communicating findings to key stakeholders. As a Senior SecOps Analyst, you will serve as an incident commander as necessary.
• Proactively collaborate with a wide range of stakeholders, guiding detection and response maturity of key worlds, leading incidents and large-scale data baselines, and being responsible with mentoring and guiding junior analysts.

REQUIRED QUALIFICATIONS

• Experience in security monitoring, log analysis, and detection engineering within large data sets across endpoint, network, and a wide variety of application log sources
• Experience in Python development, specifically contributing to a shared codebase used for automating SOC operations
• Must have experience with one or more SIEM languages (SPL, KQL, SQL)
• Experience conducting analysis in a data lake environment
• Broad range of practical security knowledge across the spectrum of endpoint, network, identity, application, and cloud infrastructure
• Knowledge of attacker tactics, techniques, and procedures (TTPs) across Windows, Linux, MacOS, AWS/Azure, etc.
• Strong communication skills and experience collaborating with internal and external stakeholders
• Must be able to obtain and hold a U.S. Top Secret security clearance

PREFERRED QUALIFICATIONS

• Experience conducting incident response in the Cloud (AWS, Azure, GCP)
• Digital Forensics and/or reverse engineering experience is a plus!

ABOUT THE TEAM:
The Corporate Technical team is responsible for building and optimizing the many systems and internal technologies that enable Anduril to accomplish its mission. Anduril’s supply chain, accounting, sales & growth, field maintenance, manufacturing, and many more teams rely on the technology built and maintained by us. We call this system-of-systems “CorpOS”. Within CorpOS lies a suite of digital software solutions aimed at solving the problems for our growth, finance, people teams that interplays heavily with our ArsenalOS solutions that enable Anduril’s engineering, production and sustainment departments.

ABOUT THE JOB:
We are seeking a highly skilled technical Cost and Receipt Accounting Systems Analyst with deep Oracle Cloud Fusion supply chain cost accounting experience to join the team. If you are passionate about the many cross-functional integrated processes that are necessary for defense tech to operate at scale and deliver the advantage to our war fighters, then this may be the opportunity for you. In this role, you will be the primary technical architect and administrator for the financial "engine" of our supply chain. You will ensure that every physical movement in our factories translates into accurate financial data. You will own the configuration, troubleshooting, and optimization of Oracle’s Cost Management and Receipt Accounting modules, ensuring our digital ledgers reflect real-time operational and financial reality.

WHAT YOU'LL DO:

• System Configuration & Ownership: Act as the Lead Functional Analyst for Oracle Fusion Cost Management and Receipt Accounting, managing cost books, valuation methods (Actual, Standard, or FIFO), and accounting rules.
• Sub-ledger Reconciliation: Direct the technical resolution of variances between the Receipt Accounting sub-ledger and the General Ledger, ensuring "Received But Not Invoiced" (RBNI) reports are accurate and automated.
• Data Integrity & Troubleshooting: Investigate and resolve stuck transactions, costing errors, and interface failures between CorpOS (ERP) and ArsenalOS (Manufacturing/Execution systems/WMS).
• Cost Accounting Optimization: Define and maintain cost elements, overhead allocation rules, and cost components to ensure accurate "Cost of Goods Sold" (COGS) reporting and inventory valuation.
• Compliance & Audit Support: Configure systems to meet DCAA and GAAP requirements, ensuring that cost-plus and fixed-price contract accounting is handled with 100% auditability.
• Release Management: Evaluate quarterly Oracle Fusion updates specifically for impact on costing flows, performing regression testing on automated accounting entries before they hit production.
• Process Engineering: Partner with Supply Chain and Manufacturing to ensure that physical receiving workflows trigger the correct technical accounting events in the ERP.

REQUIRED QUALIFICATIONS:

• 5+ years of experience in designing, developing, and implementing Oracle Cloud Fusion solutions at manufacturing companies (Aerospace & Defense industry preferred). DCAA & CPFF contracting experience a plus.
• Manufacturing Financials: Deep understanding of Transactional Accounting, including Receipt Accruals, Landed Cost Management (LCM), and Work-in-Process (WIP) costing. Strong understanding the interplay of sales, supply chain, manufacturing and finance processes between CRM, MES, WMS and ERP, with hands on experience leading development of capabilities in Oracle or SAP
• Technical Proficiency: Ability to write SQL queries to extract data for reconciliation and experience using OTBI (Oracle Transactional Business Intelligence) for financial reporting.
• A&D Industry Knowledge: Familiarity with government contracting accounting (CAS, FAR, DCAA) and how these requirements translate into ERP system settings.
• Systems Thinker: Ability to map a complex physical supply chain into a digital accounting structure without losing data granularity.
• Communication Skills: Excellent business and technical communication skills, both written and oral, and the ability to convey messages in a persuasive manner and at the appropriate level of detail.
• U.S. Citizen or Greencard Holder status is required as this position needs to access export-controlled data.
• Ability to be in-office full time and willingness to travel up to 25-50% to visit other sites.

ABOUT THE TEAM

Anduril's Detection and Response team is looking for a Security Operations Analyst to be the watchtower for Anduril's critical defense technologies. As a SecOps Analyst on the detection and response team, you'll be responsible for monitoring and responding to adversarial activity while helping incorporate key detection feedback loops with the detection engineering team. As a Senior SecOps Analyst, you will serve as an incident commander alongside other senior analysts. When not responding to threats, you'll be asking questions of our data sets, conducting threat hunting and data normalization operations across the organization to understand user behavior and identify anomalies. 

WHAT YOU'LL DO

• Triage and respond to alerts / incidents covering multiple disciplines including, but not limited to, phishing, endpoints, cloud infrastructure and services, and SaaS applications
• Build and optimize tailored detection signatures, response playbooks, and response automation using detection-as-code principles
• As the frontline of DNR, you will lead the feedback loop for detections, ensuring alerts are fine tuned to reduce false positives
• Participate in threat modeling scenarios with cross-functional partners to understand weaknesses across Cloud, Mobile, Endpoints, and other environments incorporating findings into security controls and/or detection signatures
• Organize and conduct threat hunting and data baselines to identify anomalous patterns in data
• Participate in an on-call rotation responding to security events and conducting incident response investigations while effectively communicating findings to key stakeholders. As a Senior SecOps Analyst, you will serve as an incident commander as necessary.
• Proactively collaborate with a wide range of stakeholders, guiding detection and response maturity of key worlds, leading incidents and large-scale data baselines, and being responsible with mentoring and guiding junior analysts.

REQUIRED QUALIFICATIONS

• Experience in security monitoring, log analysis, and detection engineering within large data sets across endpoint, network, and a wide variety of application log sources
• Experience in Python development, specifically contributing to a shared codebase used for automating SOC operations
• Must have experience with one or more SIEM languages (SPL, KQL, SQL)
• Experience conducting analysis in a data lake environment
• Broad range of practical security knowledge across the spectrum of endpoint, network, identity, application, and cloud infrastructure
• Knowledge of attacker tactics, techniques, and procedures (TTPs) across Windows, Linux, MacOS, AWS/Azure, etc.
• Strong communication skills and experience collaborating with internal and external stakeholders
• Must be able to obtain and hold a U.S. Top Secret security clearance

PREFERRED QUALIFICATIONS

• Experience conducting incident response in the Cloud (AWS, Azure, GCP)
• Digital Forensics and/or reverse engineering experience is a plus!

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 seeking a talented and innovative Quantum Software Engineer to join our forward-looking team at Anduril Labs. In this role, you will be instrumental in building and delivering impactful quantum solutions for both Anduril-internal use cases and external customer applications. You will work closely with delivery leads, application developers, and other solutions architects, as well as internal and external partners to design, implement, and deliver bleeding edge quantum solutions on state-of-the-art quantum-inspired, quantum annealing, and quantum gate platforms for real-world defense and national security challenges.

The ideal candidate will combine a strong foundation in quantum computing principles with hands-on classical and quantum software development expertise. You will leverage your skills to translate complex problems into (hybrid) quantum algorithms, applications, and services. This includes developing robust software implementations, and integrate quantum-enhanced solutions into existing and new defense systems. If you are passionate about applying theoretical quantum concepts to deliver tangible, high-impact results, and thrive in an environment that values innovation, collaboration, and rapid prototyping, we encourage you to apply.

WHAT YOU’LL DO

• Be a key contributor to the development of next-generation quantum-enhanced Anduril offerings and lead the design, development, and deployment of novel quantum-enhanced applications and services in the defense and national security domain.
• Develop impactful hybrid quantum algorithms and applications that promise significant decision advantages and focus on practical scalability and real-world applicability.
• Contribute knowledge of classical and quantum optimization algorithms and tools, evaluating, and communicating their pros and cons, current state-of-the-art, scaling behaviors, trade-offs, and cross-over points.
• Participate in the full (hybrid) quantum software development lifecycle, from concept and design to testing, deployment, and ongoing maintenance.

REQUIRED QUALIFICATIONS

• Bachelor's degree in Computer Science, Quantum Information Science, Physics, Mathematics, or a closely related technical field.
• 3+ years of hands-on, professional software development experience with C, C++, Python, or another general-purpose compiled programming language.
• Practical experience in quantum computing, including programming quantum applications, or quantum circuit compilation.
• Proficiency with one or more leading quantum programming languages, SDKs, or APIs such as Qiskit, CUDA-Q, Q#, Cirq, PennyLane, or similar.
• Expertise in key mathematical techniques foundational to quantum computing, including linear algebra, matrix decompositions, probability theory, group theory, symmetry, and computational complexity.
• Proficient with database systems and SQL, with hands-on experience working with relational databases (e.g., PostgreSQL, Oracle, MySQL).
• 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.
• 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.

PREFERRED QUALIFICATIONS

• Master's or Ph.D. in Quantum Information Science, Physics, Computer Science, or a related quantitative field.
• Familiarity with leading classical optimization tools and solvers (e.g., CPLEX, Gurobi, OR-Tools) and knowledge of mathematical modeling and classical optimization solution techniques.
• Experience building and deploying applications to solve complex business or defense problems for customers.
• Proven record of successful on-time delivery of complex software projects with a high degree of predictability and quality.
• Experience with deployment of code in distributed environments, cloud application development (e.g., AWS, Azure, GCP), and RESTful API-driven architectures.
• Experience with high-performance computing (HPC) environments or parallel programming.
• Familiarity with quantum hardware platforms and their unique characteristics.
• Prior experience in defense, aerospace, or related industries applying advanced technologies.
• Willingness to travel up to approximately 10%.

ABOUT THE JOB:

We are looking for an expert Oracle Integration Developer to join our Arsenal (Enterprise Systems) team. Your immediate mission: take ownership of our critical enterprise integrations connecting Oracle Fusion ERP with our upstream and downstream systems. These integrations, built on Oracle Integration Cloud, form the digital backbone that governs how we manage our business operations, from product data and procurement to manufacturing and financial processes. You will be tasked with stabilizing, optimizing, and making them exceptionally robust.

Long-term, you will be the subject matter expert responsible for architecting and scaling our enterprise integration landscape. This is a high-impact role for someone who thrives on solving complex data challenges and wants to build the operational foundation that enables Anduril to scale its mission.

WHAT YOU"LL DO:

• Stabilize & Optimize: Dive deep into existing Oracle Fusion ERP integrations across manufacturing, supply chain, finance, and engineering systems. Diagnose root causes of instability, re-architect weak points, and implement robust error handling and monitoring to achieve mission-critical reliability.
• Architect & Build: Design and develop new, scalable enterprise integrations using Oracle Integration Cloud (OIC). Translate complex business requirements for product data, multi-level Bills of Material (BOMs), procurement, inventory, work orders, and financial transactions into resilient and efficient integration flows.
• Own the Integration Lifecycle: Manage the end-to-end process from design and development through testing (unit, SIT, UAT) and deployment, utilizing CI/CD best practices. Proactively tune and maintain integrations to ensure peak performance as data volumes grow.
• Ensure Data Integrity: Become the trusted expert on data transformation and mapping between systems. Implement rigorous validation and reconciliation logic to guarantee that our enterprise data is flawless across all systems.
• Collaborate & Influence: Act as the key technical partner to our ERP, Manufacturing, Supply Chain, and Finance teams. Clearly articulate technical designs, trade-offs, and progress to both engineering peers and business stakeholders, guiding them toward best-practice integration patterns.
• Leverage Modern Oracle Cloud Tools: Utilize Oracle Visual Builder Cloud Service (VBCS) where appropriate to build lightweight user interfaces that enhance integration workflows, data validation, or operational dashboards.

REQUIRED QUALIFICATIONS:

• 5+ years of hands-on experience developing complex integrations with deep specialization in Oracle Integration Cloud (OIC), specifically Oracle Integration 3.
• Proven experience integrating Oracle Fusion Cloud ERP with upstream and downstream enterprise systems (e.g., PLM, MES, WMS, CRM, third-party applications), including deep familiarity with ERP data objects such as Items, BOMs, Suppliers, Purchase Orders, Work Orders, Inventory Transactions, and Financial data.
• Expert-level proficiency in OIC 3 components: Application and Tech Adapters (REST, SOAP, File, FTP, Oracle SaaS, Database), Connections, Mappings, Lookups, Error Handling, and JavaScript.
• Strong command of XSLT, XPath, and complex data mapping for transforming large and nested XML/JSON payloads.
• Demonstrable experience building, securing, and consuming RESTful APIs and SOAP web services.
• Excellent SQL skills and a solid understanding of relational database concepts.
• Experience with Oracle Fusion ERP modules such as SCM (Supply Chain Management), Manufacturing, Procurement, or Financials.
• A tenacious problem-solver with a track record of troubleshooting, debugging, and stabilizing complex, business-critical systems.

PREFERRED QUALIFICATIONS:

• Hands-on experience with Oracle Visual Builder Cloud Service (VBCS) for building user interfaces and extensions.
• Experience with Oracle Business Intelligence Cloud Connector (BICC) for high-volume data extraction from Fusion ERP.
• Experience with Oracle Cloud Infrastructure (OCI) services (e.g., Functions, API Gateway, Object Storage, Logging, Autonomous Database).
• Experience integrating PLM systems (e.g., Teamcenter, Windchill, Arena) with Oracle Fusion ERP.
• Familiarity with Git-based source control and CI/CD pipelines for integration deployments.
• Experience in a discrete manufacturing environment.
• Knowledge of other programming languages (e.g., Python, Groovy, Java).
• Relevant Oracle Cloud Certifications (e.g., OIC 3 Application Integration Professional, Oracle Fusion Cloud certifications).
  
  

ABOUT THE JOB:

We are looking for an expert Oracle Integration Developer to join our Arsenal (Enterprise Systems) team. Your immediate mission: take ownership of our critical enterprise integrations connecting Oracle Fusion ERP with our upstream and downstream systems. These integrations, built on Oracle Integration Cloud, form the digital backbone that governs how we manage our business operations, from product data and procurement to manufacturing and financial processes. You will be tasked with stabilizing, optimizing, and making them exceptionally robust.

Long-term, you will be the subject matter expert responsible for architecting and scaling our enterprise integration landscape. This is a high-impact role for someone who thrives on solving complex data challenges and wants to build the operational foundation that enables Anduril to scale its mission.

WHAT YOU"LL DO:

• Stabilize & Optimize: Dive deep into existing Oracle Fusion ERP integrations across manufacturing, supply chain, finance, and engineering systems. Diagnose root causes of instability, re-architect weak points, and implement robust error handling and monitoring to achieve mission-critical reliability.
• Architect & Build: Design and develop new, scalable enterprise integrations using Oracle Integration Cloud (OIC). Translate complex business requirements for product data, multi-level Bills of Material (BOMs), procurement, inventory, work orders, and financial transactions into resilient and efficient integration flows.
• Own the Integration Lifecycle: Manage the end-to-end process from design and development through testing (unit, SIT, UAT) and deployment, utilizing CI/CD best practices. Proactively tune and maintain integrations to ensure peak performance as data volumes grow.
• Ensure Data Integrity: Become the trusted expert on data transformation and mapping between systems. Implement rigorous validation and reconciliation logic to guarantee that our enterprise data is flawless across all systems.
• Collaborate & Influence: Act as the key technical partner to our ERP, Manufacturing, Supply Chain, and Finance teams. Clearly articulate technical designs, trade-offs, and progress to both engineering peers and business stakeholders, guiding them toward best-practice integration patterns.
• Leverage Modern Oracle Cloud Tools: Utilize Oracle Visual Builder Cloud Service (VBCS) where appropriate to build lightweight user interfaces that enhance integration workflows, data validation, or operational dashboards.

REQUIRED QUALIFICATIONS:

• 5+ years of hands-on experience developing complex integrations with deep specialization in Oracle Integration Cloud (OIC), specifically Oracle Integration 3.
• Proven experience integrating Oracle Fusion Cloud ERP with upstream and downstream enterprise systems (e.g., PLM, MES, WMS, CRM, third-party applications), including deep familiarity with ERP data objects such as Items, BOMs, Suppliers, Purchase Orders, Work Orders, Inventory Transactions, and Financial data.
• Expert-level proficiency in OIC 3 components: Application and Tech Adapters (REST, SOAP, File, FTP, Oracle SaaS, Database), Connections, Mappings, Lookups, Error Handling, and JavaScript.
• Strong command of XSLT, XPath, and complex data mapping for transforming large and nested XML/JSON payloads.
• Demonstrable experience building, securing, and consuming RESTful APIs and SOAP web services.
• Excellent SQL skills and a solid understanding of relational database concepts.
• Experience with Oracle Fusion ERP modules such as SCM (Supply Chain Management), Manufacturing, Procurement, or Financials.
• A tenacious problem-solver with a track record of troubleshooting, debugging, and stabilizing complex, business-critical systems.

PREFERRED QUALIFICATIONS:

• Hands-on experience with Oracle Visual Builder Cloud Service (VBCS) for building user interfaces and extensions.
• Experience with Oracle Business Intelligence Cloud Connector (BICC) for high-volume data extraction from Fusion ERP.
• Experience with Oracle Cloud Infrastructure (OCI) services (e.g., Functions, API Gateway, Object Storage, Logging, Autonomous Database).
• Experience integrating PLM systems (e.g., Teamcenter, Windchill, Arena) with Oracle Fusion ERP.
• Familiarity with Git-based source control and CI/CD pipelines for integration deployments.
• Experience in a discrete manufacturing environment.
• Knowledge of other programming languages (e.g., Python, Groovy, Java).
• Relevant Oracle Cloud Certifications (e.g., OIC 3 Application Integration Professional, Oracle Fusion Cloud certifications).
  
  

ABOUT THE TEAM:
The Corporate Technical team is responsible for building and optimizing the many systems and internal technologies that enable Anduril to accomplish its mission. Anduril’s supply chain, accounting, sales & growth, field maintenance, manufacturing, and many more teams rely on the technology built and maintained by us. We call this system-of-systems “CorpOS”. Within CorpOS lies a suite of digital software solutions aimed at solving the problems for our growth, finance, people teams that interplays heavily with our ArsenalOS solutions that enable Anduril’s engineering, production and sustainment departments.

ABOUT THE JOB:
We are seeking a highly skilled technical Cost and Receipt Accounting Systems Analyst with deep Oracle Cloud Fusion supply chain cost accounting experience to join the team. If you are passionate about the many cross-functional integrated processes that are necessary for defense tech to operate at scale and deliver the advantage to our war fighters, then this may be the opportunity for you. In this role, you will be the primary technical architect and administrator for the financial "engine" of our supply chain. You will ensure that every physical movement in our factories translates into accurate financial data. You will own the configuration, troubleshooting, and optimization of Oracle’s Cost Management and Receipt Accounting modules, ensuring our digital ledgers reflect real-time operational and financial reality.

WHAT YOU'LL DO:

• System Configuration & Ownership: Act as the Lead Functional Analyst for Oracle Fusion Cost Management and Receipt Accounting, managing cost books, valuation methods (Actual, Standard, or FIFO), and accounting rules.
• Sub-ledger Reconciliation: Direct the technical resolution of variances between the Receipt Accounting sub-ledger and the General Ledger, ensuring "Received But Not Invoiced" (RBNI) reports are accurate and automated.
• Data Integrity & Troubleshooting: Investigate and resolve stuck transactions, costing errors, and interface failures between CorpOS (ERP) and ArsenalOS (Manufacturing/Execution systems/WMS).
• Cost Accounting Optimization: Define and maintain cost elements, overhead allocation rules, and cost components to ensure accurate "Cost of Goods Sold" (COGS) reporting and inventory valuation.
• Compliance & Audit Support: Configure systems to meet DCAA and GAAP requirements, ensuring that cost-plus and fixed-price contract accounting is handled with 100% auditability.
• Release Management: Evaluate quarterly Oracle Fusion updates specifically for impact on costing flows, performing regression testing on automated accounting entries before they hit production.
• Process Engineering: Partner with Supply Chain and Manufacturing to ensure that physical receiving workflows trigger the correct technical accounting events in the ERP.

REQUIRED QUALIFICATIONS:

• 5+ years of experience in designing, developing, and implementing Oracle Cloud Fusion solutions at manufacturing companies (Aerospace & Defense industry preferred). DCAA & CPFF contracting experience a plus.
• Manufacturing Financials: Deep understanding of Transactional Accounting, including Receipt Accruals, Landed Cost Management (LCM), and Work-in-Process (WIP) costing. Strong understanding the interplay of sales, supply chain, manufacturing and finance processes between CRM, MES, WMS and ERP, with hands on experience leading development of capabilities in Oracle or SAP
• Technical Proficiency: Ability to write SQL queries to extract data for reconciliation and experience using OTBI (Oracle Transactional Business Intelligence) for financial reporting.
• A&D Industry Knowledge: Familiarity with government contracting accounting (CAS, FAR, DCAA) and how these requirements translate into ERP system settings.
• Systems Thinker: Ability to map a complex physical supply chain into a digital accounting structure without losing data granularity.
• Communication Skills: Excellent business and technical communication skills, both written and oral, and the ability to convey messages in a persuasive manner and at the appropriate level of detail.
• U.S. Citizen or Greencard Holder status is required as this position needs to access export-controlled data.
• Ability to be in-office full time and willingness to travel up to 25-50% to visit other sites.

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%

Location

Washington, D.C.

Job Description

We are looking to hiring a Deployment / DevOps Engineer who will work to deploy and implement Rhombus software solutions. The Deployment Engineer will also train users and obtain user feedback, as well as interacting with the Rhombus product team on current and upcoming user requirements. The ideal candidate will have experience with basic software programming, containerized solutions, DevOps procedures and processes, and with working in an Agile environment.

As a Deployment / DevOps Engineer at Rhombus, you will have the opportunity to build strong systems and software utilizing cloud capabilities to support Rhombus' projects within the national security enterprise! Based in DevOps framework, you will participate in and/or direct major deliverables throughout all aspects of the software development lifecycle including scope and work estimation, scripting, architecture and design, coding and unit testing. Applicants should be self-motivated, curious problem solvers. 

THIS POSITION REQUIRES AN ACTIVE TS/SCI CLEARANCE. PLEASE DO NOT APPLY IF YOU DO NOT HOLD AN ACTIVE CLEARANCE

Responsibilities

• Managing, building, configuring, administering, operating and maintaining all components that comprise the DevOps environment
• Developing and maintaining scripts to automate tool deployment to an AWS cloud environment and other tasks. Sold scripting experience is a must! 
• You'll be responsible for scripting and maintaining build environments
• Working with project teams to integrate their products into the DevOps environment
• Conducting round table discussions on capabilities to ensure smooth deployment 
• Defining enterprise Continuous Integration/Continuous Deployment processes and best practices
• Codifying software development best practices across the enterprise
• Developing automated testing framework within DevOps processes

Qualifications

• Must possess an active TS/SCI clearance, please apply only if you have an active clearance
• At minimum, BA/BS degree in Computer Science or similar technology-focused programs
• At minimum 5 years' experience 
• Experience working on Amazon Web Services (AWS) technologies
• Experience with DevOps pipeline tools and technologies, including Docker, Chef, Jenkins, Ansible, or Kubernetes
• Experience with Command line experience in Linux or Unix
• Experience with HTML, PHP and Python
• Comfortable with SQL
• AWS Solution Architect or AWS SysOps Administrator Certification
• Security+ CE, SSCP, CCNA-Security, or GSEC Certification would be preferred
• Experience in working closely with software developers to integrate, configure, and deploy commercial products
• Experience with Multi cloud management
• Knowledge in complex application integration AWS certification

Personal Qualities:

• Must have strong problem-solving skills and demonstrated excellent oral and written communication skills
• We’re seeking folks with strong intellectual curiosity and creativity, with an ability and willingness to learn new skills and apply novel solutions to problems
• Comfort in a fast-paced start-up environment is crucial, with the ability to consistently revise your approach in response to new information, and to be flexible and adaptive

Salary Range

• The estimated base salary range for this position is $120,000 to $190,000/year

Benefits 

• Full medical, dental, vision coverage for employee and dependents 
• 401k matching program 
• PTO and Holidays 
• Bonus and other incentive programs
• Access to mental health program
• Access to Flexible Spending Accounts for Health Care, Dependent and Commuter

About Rhombus 

Rhombus Power Inc. (Rhombus) is a startup located in the heart of Silicon Valley at Stanford Research Park in Palo Alto.  We use cutting-edge cross-disciplinary approaches to solve pressing Big Data and Sensing problems in security, energy, and healthcare. Our advisory board includes two Nobel Laureates and a Draper Prize winner. 

Rhombus compensates, motivates, and develops employees, who are trusted, empowered, and involved. Employees have clear roles and expectations – and their roles are flexible enough to move at the speed of innovation in order to meet and exceed client expectations. We have a unique culture of global purpose, rooted in the innovation and progress of Silicon Valley. 

Rhombus knows that diversity is a condition for success. We are committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer. 

At i360technologies, we deliver business consulting and technology solutions that support the mission of federal agencies. We are Database Developer to design and implement the data architecture supporting the federal agency’s BOAT low-code platform. This role is responsible for data modeling, integration, migration, and ensuring secure, scalable data operations aligned with federal data and security requirements.

Implements data model, data platform read/write, external API consumers, file metadata schema, and Data Migration Plan if applicable. Supports data security controls and ATO data-handling artifacts. Own the data and integration backbone of the BOAT platform for client. Design and implement the data model, file metadata schema, data platform read / write integrations, and external API consumers that connect BOAT to the pilot Program and the broader registration, inspection, compliance, and enforcement data ecosystem (SafeSpect, State PCR Repository, ELD data, TruData, CCFP Analysis Datamart). Produce the Data Migration Plan when applicable and lead all data-handling artifacts that support Authority to Operate (ATO).

Key Responsibilities

• Design and implement the BOAT data model supporting case management, dynamic data collection, role-based access, and persona-based reporting and analytics for the pilot Program.
• Build read / write integrations with the client data platform; implement external API consumers to ingest data from SafeSpect, State PCR repositories, ELD feeds, and other authoritative sources.
• Implement the file metadata schema for narrative reports, images, video, and other artifacts uploaded through the BOAT submission interface; ensure metadata associates each file to the correct case record.
• Author the Data Migration Plan when applicable — source-system profiling, mapping, transformation rules, validation, and rollback strategy — with delivery at the end of Discovery (Week 2).
• Implement and document data-security controls aligned to client policy, NIST SP 800-53, NIST SP 800-122 PII protection, and FIPS 140-2 encryption; produce data-handling evidence for the A&A artifact pack.
• Cross-train on BOAT platform configuration during Discovery and pair regularly with the Senior Software Developer to mitigate single-point-of-failure risk on platform-specific work.
• Support performance testing in Sprint 5 — query optimization, indexing, data volume profiling, concurrency tuning — and execute remediation in Sprint 6.
• Contribute to the Detailed Technical Design Document and the User Guide with data-layer architecture, schemas, integration contracts, and operations guidance.
• Sustain the data layer across option periods — refactor only where unique business rules require it; reuse and normalize patterns across applications to reduce long-term maintenance cost.

Qualifications

• Minimum 7 years of hands-on database development experience across relational engines (PostgreSQL, Oracle, SQL Server) and at least one document or non-relational store (MongoDB, DynamoDB, Cosmos DB, or equivalent). NOTE: this may changed based on Doug’s LC selection
• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related discipline (or equivalent professional experience).
• Demonstrated hands-on experience with AWS data services — RDS, Aurora, DynamoDB, S3, Glue, Lambda, or comparable — operating inside an AWS Virtual Private Cloud (VPC).
• Demonstrated data migration experience on regulated federal systems — including source profiling, schema mapping, transformation, validation, and rollback.
• Strong API design and integration experience — REST / JSON, OAuth, API gateways, message-based integration patterns.
• Working knowledge of federal data security and privacy requirements: FISMA, Privacy Act of 1974, NIST SP 800-53, NIST SP 800-122, DOT Order 1351.37, and Sensitive PII handling.
• Experience supporting Authority to Operate (ATO) — producing data-layer evidence for system security plans, control narratives, and continuous monitoring. Experience with APIs and data integration pipelines
• Experience working in agile development environments

Preferred Qualifications

• Hands-on experience with the proposed BOAT platform's data layer (Power Platform / Dataverse, Unqork, Appian, ServiceNow, or equivalent).
• Experience with regulated mission data sets.
• Familiarity with Login.gov or other federated identity solutions and how they propagate into row-level / role-based data access.
• Performance-tuning expertise on Oracle 19c PL/SQL, SQL Server, or PostgreSQL for high-volume federal workloads.
• Familiarity with SAFe Agile, two-week sprint cadence, and the JIRA / Confluence toolchain.

Key Attributes

• Strong analytical and data design skills
• Ability to work across application, integration, and analytics layers
• Detail-oriented with focus on data quality and performance

Security & Eligibility Requirements

• Ability to obtain and maintain a federal Public Trust (suitability) clearance
• Must be able to pass a federal background investigation
• U.S. Citizenship or Permanent Residency required (no visa sponsorship available)

Benefits

• Holidays - Eleven 
• Adoption Assistance
• Retirement Plan (401k) Matching
• Tuition Reimbursement
• Family Leave, Maternity, Paternity
• Short-Term & Long-Term Disability
• Life Insurance (Basic, Voluntary & AD&D)
• Health Care Plan (Medical, Dental & Vision)
• Paid Time Off (0-3 years - 15 Days PTO | 3+ years 20 Days)

Equal Opportunity Employer Minority/Female/Veteran/Disability

All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or status within any other protected group.

Only direct applicants will be considered. Submissions from recruiting or staffing firms will not be accepted.

At i360technologies, we deliver business consulting and technology solutions that support the mission of federal agencies. We are Database Developer to design and implement the data architecture supporting the federal agency’s BOAT low-code platform. This role is responsible for data modeling, integration, migration, and ensuring secure, scalable data operations aligned with federal data and security requirements.

Implements data model, data platform read/write, external API consumers, file metadata schema, and Data Migration Plan if applicable. Supports data security controls and ATO data-handling artifacts. Own the data and integration backbone of the BOAT platform for client. Design and implement the data model, file metadata schema, data platform read / write integrations, and external API consumers that connect BOAT to the pilot Program and the broader registration, inspection, compliance, and enforcement data ecosystem (SafeSpect, State PCR Repository, ELD data, TruData, CCFP Analysis Datamart). Produce the Data Migration Plan when applicable and lead all data-handling artifacts that support Authority to Operate (ATO).

Key Responsibilities

• Design and implement the BOAT data model supporting case management, dynamic data collection, role-based access, and persona-based reporting and analytics for the pilot Program.
• Build read / write integrations with the client data platform; implement external API consumers to ingest data from SafeSpect, State PCR repositories, ELD feeds, and other authoritative sources.
• Implement the file metadata schema for narrative reports, images, video, and other artifacts uploaded through the BOAT submission interface; ensure metadata associates each file to the correct case record.
• Author the Data Migration Plan when applicable — source-system profiling, mapping, transformation rules, validation, and rollback strategy — with delivery at the end of Discovery (Week 2).
• Implement and document data-security controls aligned to client policy, NIST SP 800-53, NIST SP 800-122 PII protection, and FIPS 140-2 encryption; produce data-handling evidence for the A&A artifact pack.
• Cross-train on BOAT platform configuration during Discovery and pair regularly with the Senior Software Developer to mitigate single-point-of-failure risk on platform-specific work.
• Support performance testing in Sprint 5 — query optimization, indexing, data volume profiling, concurrency tuning — and execute remediation in Sprint 6.
• Contribute to the Detailed Technical Design Document and the User Guide with data-layer architecture, schemas, integration contracts, and operations guidance.
• Sustain the data layer across option periods — refactor only where unique business rules require it; reuse and normalize patterns across applications to reduce long-term maintenance cost.

Qualifications

• Minimum 7 years of hands-on database development experience across relational engines (PostgreSQL, Oracle, SQL Server) and at least one document or non-relational store (MongoDB, DynamoDB, Cosmos DB, or equivalent). NOTE: this may changed based on Doug’s LC selection
• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related discipline (or equivalent professional experience).
• Demonstrated hands-on experience with AWS data services — RDS, Aurora, DynamoDB, S3, Glue, Lambda, or comparable — operating inside an AWS Virtual Private Cloud (VPC).
• Demonstrated data migration experience on regulated federal systems — including source profiling, schema mapping, transformation, validation, and rollback.
• Strong API design and integration experience — REST / JSON, OAuth, API gateways, message-based integration patterns.
• Working knowledge of federal data security and privacy requirements: FISMA, Privacy Act of 1974, NIST SP 800-53, NIST SP 800-122, DOT Order 1351.37, and Sensitive PII handling.
• Experience supporting Authority to Operate (ATO) — producing data-layer evidence for system security plans, control narratives, and continuous monitoring. Experience with APIs and data integration pipelines
• Experience working in agile development environments

Preferred Qualifications

• Hands-on experience with the proposed BOAT platform's data layer (Power Platform / Dataverse, Unqork, Appian, ServiceNow, or equivalent).
• Experience with regulated mission data sets.
• Familiarity with Login.gov or other federated identity solutions and how they propagate into row-level / role-based data access.
• Performance-tuning expertise on Oracle 19c PL/SQL, SQL Server, or PostgreSQL for high-volume federal workloads.
• Familiarity with SAFe Agile, two-week sprint cadence, and the JIRA / Confluence toolchain.

Key Attributes

• Strong analytical and data design skills
• Ability to work across application, integration, and analytics layers
• Detail-oriented with focus on data quality and performance

Security & Eligibility Requirements

• Ability to obtain and maintain a federal Public Trust (suitability) clearance
• Must be able to pass a federal background investigation
• U.S. Citizenship or Permanent Residency required (no visa sponsorship available)

Benefits

• Holidays - Eleven 
• Adoption Assistance
• Retirement Plan (401k) Matching
• Tuition Reimbursement
• Family Leave, Maternity, Paternity
• Short-Term & Long-Term Disability
• Life Insurance (Basic, Voluntary & AD&D)
• Health Care Plan (Medical, Dental & Vision)
• Paid Time Off (0-3 years - 15 Days PTO | 3+ years 20 Days)

Equal Opportunity Employer Minority/Female/Veteran/Disability

All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or status within any other protected group.

Only direct applicants will be considered. Submissions from recruiting or staffing firms will not be accepted.

JOB SUMMARY:

The Senior Field Service Engineer – RUPS Systems will specialize in rotary UPS power system distribution builds, mechanical and generator integration, system integration, start-ups, and preventative maintenance programs. This role requires advanced technical expertise, mechanical aptitude, leadership skills, and hands-on field experience with both electrical control systems and rotating equipment such as generators and flywheels. Strong troubleshooting skills and a commitment to delivering high-performance power solutions in data centers, hospitals, industrial facilities, and utility-scale environments are essential.

This is not a typical UPS engineer or technician role. In fact, a strong background in traditional static UPS systems may not be advantageous for this position. The ideal candidate will have relevant experience with mechanical systems, generators, and rotary equipment, and be comfortable commissioning complex power systems in the field. You will act as the front-line expert for bringing large-scale RUPS systems online, resolving technical issues, and training others. This role will also provide technical software and hardware troubleshooting support to the IEM customer base on-site throughout North America while performing start-ups, retrofits, or preventative maintenance. The engineer will work closely with cross-functional IEM teams to integrate current and new technologies, commission complex generator and RUPS systems, optimize existing power infrastructure, and ensure seamless operation across our power products as defined by the customer's RUPS design and sequence of operations (SOO). This role will serve as the point of contact for all field service personnel related to RUPS startup, generator support, preventative maintenance, 24-hour emergency response, and remote technical assistance.

KEY RESPONSIBILITIES:

• Lead and perform on-site startup, commissioning, and preventative maintenance of RUPS systems, including generator integration, flywheel validation, and facility electrical infrastructure.
• Perform functional testing, load bank testing, system synchronization, and complete system validation to ensure all components meet performance specifications.
• Troubleshoot and resolve complex electrical and mechanical issues related to generators, flywheels, switchgear, control systems, fuel systems, and coupling assemblies.

• Follows a scientific step-by-step process to troubleshoot equipment issues. Captures data and troubleshooting steps concisely and accurately to facilitate effective communication to internal and external parties.
• Works directly with 3^rd party equipment vendors and customers to help resolve re-occurring issues with vendor equipment within IEM’s integrated RUPS systems.
• Perform functional tests, load tests, synchronization, and RUPS system validation.
• Troubleshoot and resolve complex electrical and mechanical issues related to generators, flywheels, switchgear and related control systems.
• Interface with clients, contractors and internal IEM teams during commissioning and acceptance testing.
• Ensure all startup and commissioning documentation, test reports, onsite daily reports and required customer records are completed, submitted accurately and on time.
• Provide technical support and guidance during new installations and system upgrades.
• Train Field Service junior technicians on proper startup, commissioning procedures, troubleshooting protocols, preventative maintenance and how to operate the equipment safely. 
• Maintain compliance with all industry and company safety standards, company procedures and client specific safety protocols. 
• Communicate with Product Engineering and Design Teams with regards to important product bulletins that would affect service, software upgrades, product upgrades or maintenance factors.
• Travel to customer sites to lead commissioning activities with junior techs/engineers or complete commissioning independently.
• As required, travel to the manufacturing or field service offices of IEM to participate in or lead training exercises, and to participate in factory witness/shop testing.
• Assists with project start-up and resolving punch list items found at the jobsite.  Work with the customer site superintendents or project managers to update punch lists and ensure jobs are closed out correctly.
• Provide detailed field trip reports that list the issues found onsite to the IEM manufacturing facilities regarding whether quality control standards are upheld to project design criteria and product specifications.   Works with production, service and engineering teams to help resolve any deficiencies that are found.
• Work with the Field Service Leads in scheduling additional field resources and/or teams to cover service needs.
• Proven ability to manage complex power distribution projects, obtains great technical aptitude and has good communication skills. 
• Performs other duties as required by supervisor.

Power System Integration:

• Lead and support field integration of new RUPS and generator technologies with existing infrastructure, ensuring system compatibility and optimal performance.

System Optimization:

•  Analyze system performance and implement improvements to enhance efficiency, reliability and scalability of existing power systems on customer sites.  

TECHNICAL SKILLS:

• Proficiency in Power/automation programming languages and ladder logic (IEC, Python, Java, SQL, HTML)
• Strong hands-on experience with rotating equipment, diesel generator systems, and mechanical diagnostics.
• Experience with electrical troubleshooting, including relay testing, load bank setup, and flywheel system commissioning.
• Experience with load bank testing, grounding systems and protective relay testing.
• Ability to read and interpret electrical drawings, schematics, and one-line diagrams.
• Proficiency with diagnostic and testing tools - (oscilloscopes, megohmmeters, etc.)
• Experience and proficient with industrial power system controls and monitoring technologies.
  • Communication Protocols-(Modbus/TCP, OPC, DNP3, ARP, IoT, DHCP, HTTP and IP)
  • Familiar and Experience with the TCP/IP suite
  • Experience with the utilization of Loop2k and Modscan 
  • Ability to analyze and interpret engineering documents, codes, standards and technical procedures
  • Experience with RUPS power system controls engineering, including ATO programming in PLC’s, Protective Relays and HMI’s 
• Strong technical ability related to verbal and written communication skills, with the ability to convey technical information to both technical and non-technical stakeholders. 
• Excellent analytical and problem-solving skills, with the ability to troubleshoot complex power systems with field service personnel remotely or in person to resolve technical issues on a customer site.

BASIC QUALIFICATIONS:

• BSEE or MSEE
• Minimum 4 years of field experience working with RUPS-UPS power systems, rotary systems, or generator-based power systems.
• Prior experience in commissioning engineering, power systems integration, or generator field service strongly preferred.
• 4 years’ experience as an electrical engineer
• Professional Engineer (PE) License a Plus
• Proficient in Microsoft Office applications
• A strong desire to grow and develop with a passion for providing excellent customer service
• OSHA 10/30 certification
• NFPA 70E certification

SUPERVISION OF PERSONNEL:

• None 

PHYSICAL/MENTAL/ENVIRONMENTAL: 

Physical Demands:

            Activities:        Sitting – 20%               Walking/Standing – 80%

            Lifting:             Must be able to lift a minimum of 25lbs.

            Vision:             Long periods of working in the field on IEM equipment.  

Mental Demands:   Requires the ability to maintain attention to detail and focus on tasks despite potential interruptions and a busy work environment.

Environment: Work duties will be performed in the field on construction sites in hot or cold environments. 

Travel:    100%

Compensation:

The hourly range for this role is $50 -$55 per hour, based on location, experience, and qualifications.

BENEFITS: 

• Competitive salary and performance-based incentives.
• Health, dental, vision insurance and 401K.
• Paid time off and holidays.
• Professional development and training opportunities.

This job description outlines the key responsibilities and qualifications for the Field Service Engineer-RUPS systems. We are looking for someone ready to contribute to the success of our field service operations by bringing excellent technical, organizational and interpersonal skills to the team.

The work:

As the Full Stack Development / AWS Architecture Lead, you will take ownership of designing, building, and maintaining robust, scalable web applications across a portfolio of five mission-critical systems. You will serve as the primary technical expert, guiding the engineering team and collaborating with both technical and non-technical stakeholders to ensure that solutions are user-friendly, secure, and aligned with organizational objectives. Your responsibilities will span the full software development lifecycle, from initial architecture and feature conception to deployment and ongoing support. In this role, you will benefit from hands-on experience with AWS cloud-based tools such as Console, RDS, S3, EBS, and AMIs, as well as infrastructure-as-a-service (IaaS) solutions. Familiarity with DevOps practices, including Git, GitLab, and CI/CD automation, will be essential for streamlining development workflows and ensuring continuous integration and delivery. Your ability to mentor team members, document solutions, and drive architecture decisions will be key to your success in this dynamic environment.

Responsibilities:

• Serve as the Technical Expert and primary technical lead for a portfolio of five applications, supporting a team of four staff.
• Design, build, and maintain end-to-end features for full stack web-based applications from conception to deployment.
• Lead the development of scalable web applications using Java (Spring Boot) for backend services, React/TypeScript with Vite for frontend services, PostgreSQL for database services.
• Support multiple mission-critical systems across various business domains, ensuring system performance, usability, and alignment with agency goals.
• Work closely with both technical and non-technical stakeholders to gather requirements and deliver solutions.
• Provide mentorship and guidance to team members, fostering skill development and knowledge sharing.
• Lead troubleshooting efforts, performance tuning, and problem resolution for complex technical issues.
• Contribute to architecture decisions, ensuring applications are secure, scalable, and user-friendly.
• Implement and advocate for DevOps practices, including CI/CD automation using Git, Gitlab, and related tools.
• Ensure adherence to security best practices, including RESTful Web Services, SSO, and secure application design.
• Collaborate in Agile environments, participating in sprint planning, reviews, and retrospectives.
• Implement and scale modern development practices (e.g., AI code assist), optimizing team performance and operations.

Here's what you need:

• Exceptional analytical, technical, communication, documentation, and mentoring skills
• Ability to work across multiple projects and interact with both technical and non-technical stakeholders
• Familiarity with DevOps practices, Git, Gitlab, and CI/CD tools and automation
• Experience working with Agile environments
• Demonstrated ability to design and implement scalable, user-friendly, and secure applications
• Experience with RESTful Web Services, SSO, and security best practices
• 8 years overall software engineering experience with at least 5 years in the following:
  • Minimum 5 years of experience required in AWS cloud-based development and tools such as Console, RDS, S3, EBS, AMIs, IaaS
  • Minimum 5 years of experience required in database development, SQL/RDBMS such as PostgreSQL (primary) and/or Oracle (legacy database)
  • Minimum 5 years of strong development experience required in the following technologies/areas: Java 8+, React, Spring Boot 2+, TypeScript, Visual Studio Code, Maven
• Active TS/SCI required

#clearancejobs

#LI-PublicSafety 

We are currently seeking a Java Developer to join our team.

Duties and Responsibilities:
Responsible for activities associated with delivery of software solutions associated with customer-defined systems and software projects by working in close collaboration with software developers/engineers, stakeholders, and end users within Agile processes. Responsible for:
• Designing, developing and implementing custom software and database application capabilities for a variety of legacy and modernized systems with limited oversight
• Acting as a member of a product team supporting teammates and collaborating with a do what it takes attitude to ensure product and team success
• Providing improvements to the product(s) being supported
• Actively participate in release and sprint planning, artifact creation, sprint testing, regression testing, demonstrations and retrospectives and solution releases
• Supporting release planning with conceptual design and development / refinement of software engineering guidelines
• Analyzing complex project-related problems and creating innovative solutions involving, scheduling, technology, methodology, tools and solution components
• Ensuring product quality and timeliness of work, providing advice and guidance, resolving problems to meet objectives, and providing periodic performance reports
• Providing mentoring to junior members of the team

Work Experience:
• Professional Experience: at least 6 years related technical experience, with software design, development and implementation in a Windows and Linux Environment
• Experience with Java 8 and 11; Familiarity with any of the following: JDBC, Hibernate (or other ORM), JavaScript, XML, JSON, Web-Services (JAX-WS or JAX-RS), JBoss, Eclipse/VSCode, Docker/containerization, maven, junit, and shell scripting
• Object oriented design and development (OODD) expertise, Service Oriented Architecture (SOA), familiarity with microservices and distributed architectures
• Communicating OODD and SOA principles and best practices
• Working on unusually complicated problems and providing solutions that are highly creative and ingenious, exhibiting ingenuity, creativity, and resourcefulness
• Acting independently to expose and resolve problems
• Experience with Git source code control systems and concurrent development workflows
• Experience using SQL or PL/SQL to access Oracle, MySQL, or SQL Server databases, familiarity with NOSQL such as MongoDB databases
• Experience with database design and understanding relational model/schema
• Ability to apply estimation techniques to software development efforts
• Working knowledge of and ability to assist others in the use of software engineering tools to support process improvement
• Excellent written and verbal communication skills
• Strong collaboration skills and desire to work within a team
• Understanding of all elements of the software development life cycle, including planning, development, requirements management, CM, quality assurance, and release management
• Highly responsible, team-oriented individual with very strong work ethic and a self-starter
• Hibernate-5
• SpringFrameWork-5
• Telerik

Education/Certification:
• College degree (B.S.) in Computer Science, Software Engineering, Information Management Systems or a related discipline. Equivalent professional experience will be considered in lieu of degree

Clearance Requirements:
• IRS MBI Clearance preferred or candidates must be clearable

*This role requires a hybrid schedule in our Seattle, WA office; Tuesday–Thursday in-office, Monday and Friday remote.* 

ROLE OVERVIEW  

LendingTree is seeking a Business Analyst to support our fast-growing Revenue Operations group. This role is responsible for delivering actionable insights through strong analytical execution, clear storytelling, and close partnership with business stakeholders. 

As a Business Analyst, you will independently own analyses for a defined business area, assess business problems, collect and analyze the right data, and translate findings into insights that drive measurable business outcomes. You will partner closely with Sales and Marketing teams to discover and remove operational bottlenecks to drive revenue growth. Performing deep analysis into technical systems and building reports that give clarity to these complex systems.  

This role aligns to LendingTree’s Business Analyst job family with an emphasis on analytics delivery, business partnership, and technical proficiency in SQL/Snowflake. 

CORE RESPONSIBILITIES 

Analytics & Insights Delivery 

• Deliver data-driven insights using clean, well-organized analyses, dashboards, and visualizations. 

• Identify patterns, trends, and anomalies in campaign and partner performance and translate findings into clear recommendations. 

• Assess business situations, define analytical problems, and determine the appropriate data and methodology to address them. 

Revenue Operation Support 

• Serve as the primary analytics partner for the Revenue Operations group, supporting day-to-day decision-making and strategic initiatives. 

• Conduct detailed audits of tech platforms to identify optimization opportunities and inefficiencies. 

• Support strategic innovation projects by providing ongoing performance analysis and insight. 

Measurement & Experimentation 

• Track and evaluate the results of business initiatives to determine whether outcomes were successful. 

• Support the development, execution, and analysis of A/B tests, including defining success metrics and interpreting results. 

• Establish baseline performance metrics and KPIs to measure campaign success and year-over-year growth. 

Technical Execution 

• Write efficient, accurate SQL queries in Snowflake to extract and analyze large, complex datasets. 

• Ensure data accuracy and consistency across reporting and analyses. 

• Partner with engineering and product teams to understand data structures, resolve data questions, and reduce ad-hoc analytical load on engineers. 

Cross-Functional Collaboration 

• Communicate insights effectively to both technical and non-technical stakeholders. 

• Proactively surface risks and opportunities that may impact performance or scalability. 

• Contribute to analytics best practices, documentation, and standardization within the Business Analytics team. 

Immediate Focus Areas 

• Provide support for deep-dive analysis of key focus areas of Revenue Operations. 

• Build and maintain foundational dashboards to track campaign efficiency, ROI, and incremental VMD. 

• Partner with Media/Publisher stakeholders to understand priorities, workflows, and pain points. 

• Deliver actionable recommendations that drive improvements in performance and operational efficiency. 

Key Metrics & Business Impact 

This role will directly impact: 

• Incremental VMD through improved distribution optimization. 

• Cost per Conversion by identifying and reducing inefficiencies. 

• Campaign ROI via high-quality analysis and insight-driven decision-making. 

• Year-over-Year Growth by supporting scalable analytics for a rapidly expanding business line. 

QUALIFICATIONS 

Required 

• 3-5 years of experience in business analytics, data analytics, or a related role. 

• Strong proficiency in SQL, with hands-on experience querying data in Snowflake. 

• Proven experience delivering insights that influence business decisions. 

• Ability to work independently on moderately complex analytical problems. 

• Strong communication skills with the ability to translate data into clear business narratives. 

Preferred 

• Experience supporting sales, marketing, or performance-based businesses. 

• Experience with dashboarding and visualization tools (e.g., Tableau, Looker, Power BI). 

• Familiarity with experimentation and A/B testing methodologies. 

• Experience partnering with product or engineering teams. 

Leveling & Growth Alignment (Internal Fit) 

This role is aligned to Business Analyst within LendingTree’s analytics job family: 

• Operates independently within a defined business area. 

• Owns analyses end-to-end with moderate complexity. 

• Partners closely with stakeholders and provides actionable recommendations. 

ABOUT LENDINGTREE

LendingTree is the nation’s leading online lending marketplace. We connect consumers with multiple lenders so they can easily compare options and find the right fit — from mortgages and personal loans to credit, savings, and insurance products. 

Our founder, Doug Lebda, started LendingTree in 1996 after his own frustrating house-hunting experience. What began as a simple idea to make loan shopping easier has grown into a platform that empowers millions of people to make smarter financial decisions every day.

About QuoteWizard

QuoteWizard, a division of LendingTree, helps consumers and insurance agents connect through a seamless online marketplace. More than 40 million people have used QuoteWizard to compare quotes and save on insurance. By combining technology, transparency, and expertise. QuoteWizard makes shopping for insurance simple and accessible — empowering people to make confident choices about their coverage. When you think of insurance, think QuoteWizard.

What else you should know:

• We’re a publicly traded company (NASDAQ: TREE).
• We’ve welcomed several other companies into the LendingTree family to expand our reach and capabilities.
• We’ve built the LendingTree app and My LendingTree dashboard to give consumers tools to manage and monitor their financial health.
• We’re also committed to giving back — through philanthropic programs, volunteer opportunities, and partnerships that strengthen the communities where we live and work.

The base pay range for this position in Seattle/New York/Colorado/California is $80,000-95,000 however, base pay offered may vary depending on internal factors, job-related knowledge, and experience.

Benefits: Medical, dental, vision insurance and 401(k) matching 

OUR CULTURE

We’re a collaborative, entrepreneurial team that values curiosity, creativity, and getting things done together. Our teammates are some of the brightest, most driven people you’ll meet — and we celebrate innovation, inclusion, and ownership. At LendingTree, you’ll find an inclusive culture where diverse perspectives make us stronger. We believe in working hard and supporting one another — with the flexibility and trust that help you thrive both personally and professionally.

We’re proud to offer generous benefits, wellness programs, and time-off policies designed to help you recharge, stay healthy, and bring your best self to work every day. And yes — we still have fun doing it (our “GSD – Get Stuff Done” award is a fan favorite!)

Come grow with us, make an impact, and be part of a company that truly cares about its people and its community.

QuoteWizard by LendingTree is the kind of company that not only promotes diversity and inclusion; we thrive because of these values. We do not discriminate based on race, color, religion (or creed), gender, gender expression, age, national origin, disability, marital status, sexual orientation or military status.  

CCPA Disclosure

Accenture Federal Services (AFS) brings together commercial innovation with the latest technology to deliver bold solutions for federal missions. We help our clients modernize systems, improve operations, and enhance the citizen experience. Join us and help drive meaningful impact at scale.

The Work:

As a Business Analyst, you will support mission‑driven technology initiatives by analyzing current business processes, gathering and documenting requirements, and translating those needs into clear, actionable user stories for technical teams. You will collaborate closely with stakeholders, facilitate discussions, and support the full systems development lifecycle to ensure solutions meet business, functional, and compliance requirements.

You will:

• Lead and support requirements elicitation, discovery sessions, and workflow analysis to understand current‑state systems, data, and processes.
• Define future‑state business processes, business rules, and user journeys; perform gap analysis and document findings.
• Develop business, functional, and system requirements, translating them into user stories and acceptance criteria for Agile teams.
• Create process diagrams, data mapping artifacts, and functional specifications to support design and development activities.
• Partner with architects, developers, and testers to clarify requirements, support backlog refinement, and participate in sprint activities.
• Facilitate stakeholder communication, ensure alignment on requirements, and document key decisions throughout the project lifecycle.

What You Need:

• Experience supporting the SDLC and Agile delivery environments (Scrum, Kanban).
• Demonstrated ability to document business processes, requirements, user stories, and acceptance criteria.
• Experience with Jira, Azure DevOps, Confluence, and/or similar collaboration and work‑tracking tools.
• Ability to perform SQL queries (read/joins/basic analysis).

Bonus Points:

• Experience supporting federal programs or mission‑oriented environments.
• Background in cloud/web modernization (AWS/Azure/GCP)
• Experience supporting testing, QA, automation tools, or user‑facing training materials.
• Experience with tools such as Visio/Lucidchart, Power BI/Tableau, or Medallia (for CX programs)

Eligibility Requirements:

• U.S. citizenship required
• Active Public Trust or the ability to obtain one

Location:

Our Senior Developer Advocates are technical leaders and mentors that anchor our team. They own projects from beginning to end, facilitating collaboration and enabling Datadog's community to solve real-world problems. With a focus on Data Observability, this role will enable our community of engineers around Datadog to be part of a movement of building better software. This is a unique opportunity to use both your engineering expertise and advocacy skills to shape the ever-evolving technological landscape.

What You’ll Do:

• Act as a subject matter expert for data observability on behalf of the Datadog advocacy and engineering teams
• Create content in one or more mediums to build Datadog's reputation as a leader in data engineering and observability e.g. building demos, public speaking, blogging, documentation, webinars, open source, research reports and more
• Partner with and coach internal product and customer engineering teams on effective public communication and presentations for the work they do
• Contribute to the product through feedback (bugs or product enhancements suggestions)
• Identify and pursue opportunities for events, programs, and other community-focused work that establishes trust with practitioners

Who You Are: 

You are a trusted technical expert who enjoys helping data practitioners understand, operate, and improve complex data systems in production. You bring deep, hands-on experience in one or more areas of modern data engineering, and you use that experience to provide clear context to both the community and internal teams.

You are not expected to be an expert in every area below. Instead, you bring depth in some and working familiarity across many, and you are comfortable connecting them into a coherent operational story.

• Data engineering & processing systems: You have built, operated, or supported production data pipelines using distributed processing systems such as Apache Spark or Databricks, and understand common failure modes, performance tradeoffs, and operational challenges in batch and hybrid pipelines.
• Data platforms & analytics systems: You have hands-on experience with analytics platforms such as Snowflake and BigQuery, including schema design, data modeling, SQL-based analysis, and reasoning about performance, cost, and access patterns in real-world environments.
• Streaming & event-driven data: You understand how data flows through streaming systems such as Kafka or similar platforms, including producer and consumer behavior, lag, delivery semantics, and how streaming issues propagate into downstream datasets and analytics.
• Data quality, lineage, and metadata concepts: You are familiar with how data teams reason about data quality, upstream and downstream impact, and change management, and have experience working with data lineage, metadata, or transformation tooling (for example dbt, OpenLineage, or related ecosystems), or have operated in environments where these concepts are core to reliability.
• Programming & querying: You are comfortable working in at least one programming language commonly used in data systems (for example Python, Scala, Java, or Go), along with strong SQL skills, and you can move fluidly between code, queries, and notebooks when exploring or demonstrating data systems.

You also have:

• 10+ years of experience as a software developer, data engineer, SRE, or other practitioner building and maintaining production systems
• 3+ years of experience in advocacy, developer relations, or equivalent experience reaching technical audiences through written content, conference talks, workshops, webinars, videos, or open-source contributions
• Publicly available writing samples, demos, repositories, or recordings of technical presentations
• Familiarity with modern cloud infrastructure and container-based systems
• A strong interest in self-directed learning and exploring new technologies, tools, and problem spaces

Bonus points:

• Experience supporting data pipelines for ML or AI systems
• Meaningful contributions to open source or shared technical tooling
  
  

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. 

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Remote

Hybrid role: 2 days/week in office

As a Technical Program Manager at MediaAlpha you'll sit at the nexus of engineering, business, and our external customers. You'll lead a functional area and work across teams to determine ongoing program needs, manage related projects, and define and measure success of your area.

The ideal candidate is someone that is detailed oriented, intensely curious and will foster, drive, and socialize a shared vision around their ownership area. You're comfortable reviewing code with engineers and talking business strategy with executive leadership. At MediaAlpha we're an intentionally small organization where individuals can have an outsized impact and opportunity, and we're looking for people that relentlessly look for ways to improve what we're doing, how we do it, and drive more value for our customers.

Responsibilities

• Oversee an end-to-end program, including defining metrics to measure success, monitor issues, and surface opportunities in systems that handle hundreds of thousands of high-value transactions per day.
• Work with external partners, internal account managers, and engineers to define, build, test, and release API integrations, related functionality, and supporting features.
• Manage Backlogs and Kanban workflows, and coordinate wider efforts across cross-functional teams.
• Consult with external partners on best practices for data passing and API design.

Requirements

• 2+ years of Program Management or related project experience, especially in an Agile environment and with the complete SDLC.
• Exceptional analytical skills.
• Experience with SQL, JSON, and Web APIs.
• Experience working with engineers and non-technical stakeholders.
• Ability to articulate and communicate clearly, concisely, and thoughtfully.
• A self-starter, comfortable with ambiguity and ability to problem-solve, while paying careful attention to detail.
• Knowledge of Atlassian Suite (JIRA, Confluence) a plus. 

Compensation & Benefits

We are excited to offer a competitive base pay range of $140,000 to $175,000 per year for this position, based on experience and qualifications. But that's not all - as a valued member of our team, you will also have access to an array of top-notch benefits, including:

• Annual bonus program and participation in our Restricted Stock Unit program
• 100% Employer-paid health, dental, and vision insurance for you, your dependents, and spouse or registered domestic partner
• 100% Employer paid long-term disability, and life insurance
• 401(k) retirement plan with matching contributions to help you plan for your future
• Open Paid Time Off policy with a birthday day off and 13 holidays 
• Professional development reimbursement
• Cell Phone, Wellness, and Internet expense reimbursement, along with a subscription to the Calm App
• 100% fully paid parental leave for team members up to 22 weeks for the primary caregiver and 12 weeks for the secondary caregiver 
• Dog-friendly offices (LA and AZ) along with a $300 pet adoption reimbursement 

Shopmonkey's vision is to help every shop thrive by equipping them with the tools they need to run and grow their business. Our cloud based all-in-one shop management software takes owners and technicians from quote to cashing out a satisfied customer. Our software has a modern and intuitive UI and our backend is powered by the latest technologies so our clients can focus on the things they do best. As a Senior ML Engineer at Shopmonkey, you will be a part of a globally distributed engineering team working closely with your product and design counterparts. You will have the chance to work on the frontier of ML modeling, data pipelines, MLOps, and agentic AI systems to meet real-world auto shop needs. Shopmonkey has the structured data, workflows, and operational maturity to deliver ML powered systems that are not only intelligent but trusted and useful. You’ll move fast to bring ML systems from discovery all the way through production, helping to shape the future of the automotive care experience. For any Bay area based candidates, this would be hybrid with 2-3 days/week office at our Morgan Hill, CA office for collaboration. 

What you will do:

• Design, build, and ship production-ready ML models across a range of problem spaces: regression, classification, clustering, ranking, and recommendation systems.
• Conduct end-to-end development of ML systems: data gathering, experimentation, feature engineering, model training, evaluation, deployment, and monitoring.
• Define and track model performance metrics, run A/B tests, and iterate based on real-world feedback.
• Help design and implement shared feature stores so that reusable features can serve multiple models consistently in both batch and real-time contexts.
• Work within a modern MLOps environment to ensure scalable and reliable deployment of models.
• Contribute to training infrastructure, model versioning, and CI/CD pipelines for ML workflows.
• Work closely with data scientists and data engineers to develop data driven solutions that are high impact for businesses.
• Translate complex ML workflows into digestible updates for cross-functional stakeholders.
• Contribute to backlog velocity by owning appropriate tickets and delivering high-impact work in a collaborative, fast-paced environment.
• Implement NLP and LLM-powered components for sentiment analysis, real-time conversation evaluation, and behavior optimization.
• Contribute to analytics and predictive features such as no-show prediction and sentiment dashboards.
• Help build and ship AI agents that help automate key auto-shop business processes.

We are looking for people who have:

• Minimum of 5+ years of industry experience in applied machine learning; advanced degrees (Master’s or PhD) may offset years of experience.
• Proven experience shipping models into production (not just proof-of-concepts or notebooks).
• Proficiency in Python; experience with ML frameworks like PyTorch or Tensorflow.
• Strong foundations in classical ML/DL. Including some of the following: regression, classification, clustering, ranking, feature engineering, model evaluation, and experimentation.
• Bachelor’s degree in a STEM field, or equivalent practical experience.
• Strong collaboration and communication skills—comfortable working with PMs, designers, engineers and other cross functional team members.

Nice to have:

Candidates should have some experience in one or more of the following areas.

• Understanding of MLOps principles: model versioning, orchestration, evaluation, monitoring, model serving, and CI/CD for ML. 
• Understanding of MLOps, and experience with modern tooling like MLFlow, DVC, Airflow, etc.
• Experience with LLMs and NLP frameworks (e.g., TensorFlow, Hugging Face, LangChain).
• Experience with/interest in LLM workflows and agentic workflows
• Cloud infrastructure experience, (e.g. GCP, AWS).
• Familiarity with vector databases (e.g. Pinecone, pgvector) and embedding-based retrieval or similarity search.
• Strong SQL skills for working with large-scale data.
• Experience designing or contributing to feature stores (e.g. Feast, VertexAI Feature Store, Tecton) for shared, reusable feature pipelines.

Bonus Points:

• Prior experience working at a high growth startup.
• Experience building consumer-facing agents in vertical SaaS, in the automotive industry (business or consumers).
• Background in data processing or real-time analytics.
• Experience with Snowflake or other large-scale data warehouse solutions.

In the United States, the range is typically a salary of $165,000 to $200,000 + bonus + equity + benefits. The range provided is Shopmonkey’s reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included.

Job Overview:

Neo4j is seeking a Solution Engineer to support the mission of ensuring client success across its US Public Sector business, as well as uncovering and fostering opportunities for expanded use of Neo4j technology.  Neo4j Solution Engineers are customer champions who are both well-rounded experts in Neo4j best practices, as well as trusted technical advisors and advocates for Neo4j’s valued customers. 

Your primary objective is to provide oversight and needed support to ensure the technical success of Neo4j client projects, simultaneously managing multiple clients who are at varying points along their journey using Neo4j.  You will pursue key outcomes of minimizing time to value and maximizing Neo4j product adoption. Candidates should be comfortable coordinating with project deployment teams, troubleshooting and/or escalating issues associated with product deployment technical configuration, speaking with customers about their needs, and working with colleagues as part of a distributed team. 

Responsibilities:

• Establish, support and maintain positive, trusted relationships at all decision levels within assigned accounts.  Support cadence touchpoints with clients as well as communications surrounding key project milestones, providing technical guidance based on the audience expectations (e.g. Advisory Sessions, QBR, Executive Briefing, or Escalation Management).
• Serve as a solution advisor and champion for clients using Neo4j, from project onboarding, through production go-live, value realization and potentially expansion.
• Develop and leverage your Neo4j product expertise as a technical advisor, ensuring that clients apply Neo4j technology effectively as they address their project requirements.
• Review data model design and assist Cypher query tuning (SQL for graphs) to address performance needs and expand use cases.
• Efficiently troubleshoot various technical challenges associated with solution architecture, data integration, end user adoption, and application security.
• Act as a key escalation point to Neo4j product and engineering teams, to help defuse critical issues.  When necessary, replicate product behavior issues in your own working technical environment, in a way that can be shared and reviewed with non-cleared personnel.
• Serve clients as an accessible Neo4j expert who responds to client technical questions and at times proactively delivers information and informal education about product capabilities and best practices.
• Track project status, metrics and progress toward key milestones, supporting proactive advisory and consultation to customers, as well as status reporting internal stakeholders.
• Collaborate effectively with various Neo4j teams to address client issues expediently.
• Advocate within Neo4j for the customers and their product requirements, particularly with Product Management and Product Engineering.
• Educate and promote best practices for leveraging Neo4j Customer Support based on assigned customer’s unique experiences and challenges.
• Stay current on Neo4j’s portfolio of products and their capabilities.
• Contributing to internal and customer-facing reusable artifacts including KB articles, guides, best practice materials, healthcheck or other tools, CS Office Hours etc.
• Routine travel to clients sites across the Washington DC, MD and VA areas, for both status meetings and providing client office hours support.  Anticipate ~30% travel.

Essential prerequisites:

• Active TS/SCI w/ FS Poly.
• Working from home with the ability to travel on-site to customer locations.

Qualifications

• 5+ years experience in a client success, solution engineering, technical support, technical consultant or technical account management role in an enterprise software company.
• A Bachelor's degree in Business, Information Systems, Computer Science, or Engineering.
• Strong client-facing experience with exceptional relationship and trust building skills 
• Proficient in coordinating with clients, setting expectations appropriately, assessing project challenges creating resolution plans, as necessary.
• Demonstrated ability to understand requirements and processes and to articulate the technical/mission context of the Neo4j solution.
• A strategic, innovative thinker, with excellent interpersonal communication, written communication, and presentation skills.
• High level of initiative, energy, curiosity and willingness to learn new concepts and technologies. 
• Ability to work independently.

Technical Skills

• Timely triage varying issues based on error messages, log files, threads dumps, stack traces, sample code, and other available data points.
• Consult with customers on Cypher query tuning (SQL for graphs) and data model design to address performance needs and expanding use cases.
• Ability to advise and troubleshoot client application driver connections from supported drivers in the following languages/frameworks: Java, Spring Java, JavaScript, Python, .NET, Go, JDBC.
• Efficiently troubleshoot cluster deployment issues across multiple servers, data centers, and regions, in a variety of cloud (AWS, Azure, GCP, etc), virtual, and bare metal environments.
• Possess demonstrated proficiency in Linux (primarily) and Windows (secondary) environments (#1 and #2 most common OS’s, respectively).
• Background in Neo4j Graph Platform or other database technologies (SQL, noSQL or competing graph database technologies.
• Docker, Kubernetes, or other distributed technologies and clustering.
• Experience with LLMs/GenAI in any capacity.

About the Role:

As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us! 

As a Sr. Site Reliability Engineer (SRE) in PitchBook’s engineering division, you will be creating and evolving systems to automatically run our suite of products and services reliably and consistently. As part of a team of site reliability engineers and platform engineers and in conjunction with group leadership, you will help define service level objectives (SLOs) that determine success and build systems to achieve those objectives.

You will utilize your strong background in deploying, managing, and maintaining production systems, working with developers to operate and monitor large-scale services with complex distributed systems and data integrations. You will incorporate observability tools (monitoring, telemetry, tracing, alerting), perform incident management, conduct root cause analyses, eliminate single points of failure, build reliability and redundancy into our infrastructure, establish and test our recoverability, mitigate failures, and do all of these things through automation and tools. 

As a Sr. Site Reliability Engineer, you will take independent responsibility for building and managing large subsets of our systems. You will help build our best practices for infrastructure-as-code and your code will exemplify our quality controls. You will mentor and train other Site Reliability Engineers, platform engineers, and software engineers in reliability topics. 

Your ability to collaborate with colleagues, exhibit poise and adaptability in stressful situations, communicate effectively, and build resilient systems that can be consistently relied upon will be critical to your success. You will solicit feedback, learn constantly, engage others with empathy, and help create a culture of belonging, teamwork, and purpose.

If you love building customer-centric solutions, strive for excellence every day, are adaptable and focused, and believe work should be fun, come join us! 

Primary Job Responsibilities:

• Build and maintain internal platform services, Kubernetes operators, and observability tooling that support enterprise reliability at scale
• Design and deliver developer experience tooling and AI-leveraged workflows through Claude Code plugins and MCP servers
• Requires strong knowledge of Kubernetes, Java (Spring Boot), observability, event-driven architecture, and Python; experience with Clean Architecture, cloud-native deployment patterns, and building internal tools that improve developer productivity across engineering organizations.
• Establish service level objectives (SLOs), error budgets, and service level indicators (SLIs) as success criteria that our systems and processes consistently meet or exceed these targets
• Build recoverability into our services and systems, including disaster recovery (DR), backups/recovery, and incorporation of multi-AZ multi-regionality into cloud constructs
• Establish clustering and load balancing techniques for high availability and scalability in containerized cloud-native environments
• Build observability systems and services (monitoring, telemetry, tracing) for reuse in our platform architecture, creating alerting for fault identification and building dashboards for metrics
• Operate and continuously improve our services’ reliability, scalability, performance, security, and uptime
• Learn constantly, including in available cloud-managed services (PaaS/SaaS/IaaS), libraries, frameworks, and platforms (commercial and open-source)
• Participate in the company’s application of Agile, Lean, and principles of fast flow to engineering department efficiency and productivity and own certain tasks in process automation to achieve fluidity
• Support the vision and values of the company through role modeling and encouraging desired behaviors 
• Participate in various company initiatives and projects as requested 

Skills and Qualifications:

• Bachelor's in Computer Science, Software Engineering, or related (Master's preferred)
  
• 5+ years of experience building and maintaining Linux/UNIX-based systems, primarily in cloud environments (preferably GCP & AWS)
  
• 5+ years of experience in a Reliability Engineering, DevOps, or infrastructure role, where infrastructure-as-code tools (e.g. Terraform, Puppet, Ansible, Chef) were used as a primary job function
  
• 5+ years of experience coding in an object-oriented language, such as Java, Python, Go, or Kotlin
  
• 2+ years of experience with containers and orchestration platforms, including Kubernetes and Docker
  
• Deep knowledge of infrastructure systems, networking, and security, including in a cloud environment
  
• Experience owning operational reliability, scalability, recoverability (backups, disaster recovery, failover), and capacity planning
  
• Experience performing operational activities including batch processing, system backups, maintenance, monitoring, and providing first-tier on-call support and being part of a 24/7 response team
  
• Experience with distributed, scalable microservices and event-driven architectures
  
• Experience with data storage, replication, caching, and search technologies, such as PostgreSQL, MySQL, MS SQL Server, Amazon RDS, GCP CloudSQL, Redis, Elasticsearch, and Lucene/Solr
  
• Hold at least one professional certification in AWS or GCP (DevOps or SysOps Engineer preferred)
  
• Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word, and Excel with the ability to pick up new systems and software easily
• Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits + Compensation at PitchBook:

Physical Health

• Comprehensive health benefits
• Additional medical wellness incentives
• STD, LTD, AD&D, and life insurance

Emotional Health

• Paid sabbatical program after four years
• Paid family and paternity leave
• Annual educational stipend
• Ability to apply for tuition reimbursement
• CFA exam stipend
• Robust training programs on industry and soft skills
• Employee assistance program
• Generous allotment of vacation days, sick days, and volunteer days

Social Health 

• Matching gifts program
• Employee resource groups
• Subsidized emergency childcare
• Dependent Care FSA
• Company-wide events
• Employee referral bonus program
• Quarterly team building events

Financial Health 

• 401k match
• Shared ownership employee stock program
• Monthly transportation stipend

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.

Compensation

• Annual base salary: $175,000-$200,000
• Target annual bonus percentage: 10%

Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

#LI-TK1

#LI-Onsite

About the Role:

As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us! 

As a Sr. Site Reliability Engineer (SRE) in PitchBook’s engineering division, you will be creating and evolving systems to automatically run our suite of products and services reliably and consistently. As part of a team of site reliability engineers and platform engineers and in conjunction with group leadership, you will help define service level objectives (SLOs) that determine success and build systems to achieve those objectives.

You will utilize your strong background in deploying, managing, and maintaining production systems, working with developers to operate and monitor large-scale services with complex distributed systems and data integrations. You will incorporate observability tools (monitoring, telemetry, tracing, alerting), perform incident management, conduct root cause analyses, eliminate single points of failure, build reliability and redundancy into our infrastructure, establish and test our recoverability, mitigate failures, and do all of these things through automation and tools. 

As a Sr. Site Reliability Engineer, you will take independent responsibility for building and managing large subsets of our systems. You will help build our best practices for infrastructure-as-code and your code will exemplify our quality controls. You will mentor and train other Site Reliability Engineers, platform engineers, and software engineers in reliability topics. 

Your ability to collaborate with colleagues, exhibit poise and adaptability in stressful situations, communicate effectively, and build resilient systems that can be consistently relied upon will be critical to your success. You will solicit feedback, learn constantly, engage others with empathy, and help create a culture of belonging, teamwork, and purpose.

If you love building customer-centric solutions, strive for excellence every day, are adaptable and focused, and believe work should be fun, come join us! 

Primary Job Responsibilities:

• Bachelor's in Computer Science, Software Engineering, or related (Master's preferred)
  
• 5+ years of experience building and maintaining Linux/UNIX-based systems, primarily in cloud environments (preferably GCP & AWS)
  
• 5+ years of experience in a Reliability Engineering, DevOps, or infrastructure role, where infrastructure-as-code tools (e.g. Terraform, Puppet, Ansible, Chef) were used as a primary job function
  
• 2+ years of experience with containers and orchestration platforms, including Kubernetes and Docker
  
• Deep knowledge of infrastructure systems, networking, and security, including in a cloud environment
  
• Experience owning operational reliability, scalability, recoverability (backups, disaster recovery, failover), and capacity planning
  
• Experience performing operational activities including batch processing, system backups, maintenance, monitoring, and providing first-tier on-call support and being part of a
• 24/7 response team
  
• Experience with distributed, scalable microservices and event-driven architectures
  
• Experience with data storage, replication, caching, and search technologies, such as PostgreSQL, MySQL, MS SQL Server, Amazon RDS, GCP CloudSQL, Redis, Elasticsearch, and Lucene/Solr
  
• Hold at least one professional certification in AWS or GCP (DevOps or SysOps Engineer preferred)
  
• Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word, and Excel with the ability to pick up new systems and software easily
• Support the vision and values of the company through role modeling and encouraging desired behaviors 
• Participate in various company initiatives and projects as requested 

Skills and Qualifications:

• Bachelor's in Computer Science, Software Engineering, or related (Master's preferred)
• 5+ years of experience building and maintaining Linux/UNIX-based systems, primarily in cloud environments (preferably GCP & AWS)
• 5+ years of experience in a Reliability Engineering, DevOps, or infrastructure role, where infrastructure-as-code tools (e.g. Terraform, Puppet, Ansible, Chef) were used as a primary job function
• 2+ years of experience with containers and orchestration platforms, including Kubernetes and Docker
• Deep knowledge of infrastructure systems, networking, and security, including in a cloud environment
• Experience owning operational reliability, scalability, recoverability (backups, disaster recovery, failover), and capacity planning
• Experience performing operational activities including batch processing, system backups, maintenance, monitoring, and providing first-tier on-call support and being part of a 24/7 response team
• Experience with distributed, scalable microservices and event-driven architectures
• Experience with data storage, replication, caching, and search technologies, such as PostgreSQL, MySQL, MS SQL Server, Amazon RDS, GCP CloudSQL, Redis, Elasticsearch, and Lucene/Solr
• Hold at least one professional certification in AWS or GCP (DevOps or SysOps Engineer preferred)
• Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word, and Excel with the ability to pick up new systems and software easily
• Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits + Compensation at PitchBook:

Physical Health

• Comprehensive health benefits
• Additional medical wellness incentives
• STD, LTD, AD&D, and life insurance

Emotional Health

• Paid sabbatical program after four years
• Paid family and paternity leave
• Annual educational stipend
• Ability to apply for tuition reimbursement
• CFA exam stipend
• Robust training programs on industry and soft skills
• Employee assistance program
• Generous allotment of vacation days, sick days, and volunteer days

Social Health 

• Matching gifts program
• Employee resource groups
• Subsidized emergency childcare
• Dependent Care FSA
• Company-wide events
• Employee referral bonus program
• Quarterly team building events

Financial Health 

• 401k match
• Shared ownership employee stock program
• Monthly transportation stipend

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.

Compensation

• Annual base salary: $175,000-$200,000
• Target annual bonus percentage: 10%

Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

#LI-MS1

#LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

What You'll Do

The Head of Collections and Recoveries is a highly analytical business leader responsible for overseeing and optimizing all aspects of the company’s collections and recoveries functions. This individual contributor role will develop and deliver the strategy and roadmap, collaborating across internal teams and external partners to execute and optimize our loss mitigation efforts. The ideal candidate will have deep collections and recoveries expertise, very strong analytical and problem solving skills, cross-functional leadership skills, and a deep understanding of consumer finance regulations. 

Key Responsibilities: 

• Strategic Leadership: Develop, implement and optimize a comprehensive collections and recoveries strategy aligned with the company’s overall business objectives. 
• Operational Excellence: Oversee daily operations, ensuring business intent is supported by operational excellence - delivered by vendor or shared internal resources. Establish and monitor key performance indicators (KPIs) to measure the effectiveness of collections efforts. Establish and manage relationships with third-parties for the delivery of the strategy. 
• Risk Management & Regulatory Compliance: Identify and mitigate potential risks associated with collections activities, including strict adherence to all federal, state, and local regulations governing collections and recoveries. 
• Financial Performance: Own the Collections and Recoveries budget and maximize return on operational expenses. 
• Technology and Innovation: Leverage technology to improve efficiency and effectiveness, including the implementation of new collection systems and tools. 
• Customer Experience: Balance aggressive collections with a customer-centric approach, minimizing negative impacts on customer relationships.
• Additional responsibilities may vary based on the company’s needs and requirements. 

About You (Required Qualifications) 

• 5+ years of experience in collections and recoveries in the consumer finance industry.
• Bachelor’s degree in Business Administration, Finance, or another quantitative/analytics field. 
• Strong understanding of consumer finance regulations, including the Fair Debt Collection Practices Act (FDCPA) and other relevant laws.
• Proficiency with SQL, Snowflake, and other data/analytics tooling.
• Excellent analytical and problem-solving skills.
• Strong communication, influencing and interpersonal skills.
• Ability to work under pressure and meet tight deadlines.

Preferred Qualifications 

• Advanced degree (MBA or MS). 

Scale AI is at the forefront of the AI revolution, helping the U.S. government unlock the potential of AI across national security missions. We’re building enterprise-grade generative AI solutions and delivering them into operational use cases that matter.

We’re hiring an engagement manager (EM) to lead and coordinate delivery of agentic workflows for a national security customer. As an EM on our public sector delivery team, you will own or support a large account plan, manage day-to-day execution for customers, and ensure an incredible customer experience. This role is ideal for someone who blends program leadership, customer relationship building, technical fluency, and contract awareness — and who thrives in fast-moving, ambiguous, and mission-driven environments.

You will:

• Manage customer relationships from the executive to the end user
• Work alongside customers to scope agentic workflow use cases that Scale’s engineering team will build and you will ultimately refine
• Lead a cross-functional project team to deliver on and exceed the customer's AI/ML objectives
• Lead with a “whatever-it-takes” mentality, proactively identifying customer needs and operator pain points to ensure customer success
• Oversee onboarding and successful implementation of customer accounts

We have a diverse team with a variety of skill sets, many have:

• A technical background (education or professional experience with computer science, economics, statistics, engineering)
• A proven track record in B2B client-facing roles and expanding client relationships
• Prior experience owning the technical implementation of solutions to the government 

Must haves:

• An active TS/SCI clearance
• 5+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications / solutions
• A track record of structured, analytics-driven problem solving
• Excellent verbal and written communication skills
• Willingness to be onsite with customers 4+ days per week in the Suffolk, VA area with occasional travel (less than 25%) to Scale’s DC office

We have a diverse team with a variety of skill sets, many have:

• 10+ years of professional experience, often in a customer-facing technical program management role in industry or government
• Prior experience at an API technology company and / or managing technical customers using an API
• A technical degree in computer science, engineering, or related field
• Proficiency in Python, SQL or other programming languages
• Domain expertise in a relevant field (e.g. modeling and simulation, joint planning processes, intelligence workflows, etc)