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

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 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

HG Insights - Remote, USA

HG Insights is seeking a versatile and experienced Platform Architect. The ideal candidate will bring a strong mix of technical expertise, leadership experience, and a proven track record in building scalable distributed systems.

What You’ll Do:

We are looking for a Platform Architect to drive technical excellence, mentor teams, and lead the development of our next-generation products.
The role requires someone who can balance strategic thinking with hands-on technical leadership.

What You'll Be Responsible For:

• Lead and mentor engineering teams across frontend, backend, and infrastructure domains
• Drive technical vision and architecture decisions for complex distributed systems
• Collaborate with executive leadership on product strategy and technical roadmap
• Build and scale engineering teams through effective hiring, mentoring, and development
• Establish engineering best practices, processes, and quality standards
• Drive innovation in cloud-native architectures and deployment strategies
• Lead implementation of cost-effective and performant cloud solutions
• Oversee development of scalable frontend and backend systems
• Manage site operations and technical infrastructure

What You’ll Need: 

• 20+ years of software engineering experience with at least 5 years in leadership roles
• Strong experience in cloud-native technologies, distributed systems
• Proven track record of leading full-stack engineering teams
• Deep expertise in modern frontend and backend technologies
• Experience with cloud platforms and infrastructure management
• Strong background in API design and microservices architecture
• Experience with monitoring, observability, and performance optimization
• Track record of successful product deliveries and team scaling
• Bachelor's degree in Computer Science, Engineering, or related field

Technical Skills

• Cloud Platforms & Technologies: Docker, Kubernetes, Cloud-native architectures
• Frontend: React.js, Angular, JavaScript/TypeScript, HTML/CSS
• Backend: Java, Go, Node.js, RESTful services
• Databases: Experience with both SQL and NoSQL databases
• Infrastructure: Experience with monitoring tools, CI/CD pipelines
• Architecture: Microservices, distributed systems, high-availability systems

Leadership Competencies

• Strategic thinking and ability to translate business requirements into technical solutions
• Strong team building and mentoring capabilities
• Excellent communication skills with both technical and non-technical stakeholders
• Experience in agile methodologies and project management
• Ability to drive innovation and technical excellence
• Strong focus on engineering quality and best practices

Location: Remote, USA

Employment Type: Full-time

ESA is hiring a GIS Analyst/Developer to join our Pacific Northwest Technology Services team based out of our Seattle, WA, and/or Portland & Bend, OR offices. The ideal candidate will support multidisciplinary project teams across ESA's Pacific Northwest offices. This is a hybrid role with 3 days per week in either our Portland or Seattle offices, with availability expected during Pacific Time business hours.

Who you are

• You have 2 to 7 years of professional GIS experience and a degree in GIS, geography, computer science, environmental science, or a related field.
• You are strong across the fundamentals: coordinate systems and projections, spatial data management, spatial analysis, cartographic design, and field data collection. You also write reusable Python, manage code in Git, work with APIs and databases, and use AI coding assistants.
• You are proficient across the full range of GIS work, lean toward automation and tool-building, are a strong collaborator, and are motivated to grow within a project-based consulting environment.
• You are organized, deadline-driven, and able to manage multiple project assignments without losing track.
• You communicate clearly with people who do not speak GIS or code and are attentive to detail with a sound sense of judgment to know when a deliverable is ready to ship. Cartographic judgment matters: your maps need to be accurate, readable, and are commonly a focal point of client reports.
• You thrive in a fast-paced work environment where no two projects look the same. You are wired to collaborate, and constantly looking for better tools and patterns, especially for work that recurs.
• Must possess technical skills to include ArcGIS Pro and ArcGIS Online for spatial analysis, web maps, and application development (Experience Builder, Dashboards, StoryMaps); able to configure field data collection tools (Field Maps, Survey123, Fulcrum); Python beyond arcpy (pandas, geopandas, rasterio, and similar libraries); SQL for querying and maintaining spatial and non-spatial databases (PostgreSQL/PostGIS a plus); and Git and GitHub for version control and code review.
• Additional skills that are highly valued include remote sensing and machine learning (imagery analysis, classification, OBIA workflows, and classifiers such as Random Forest), R for statistical or spatial analysis, JavaScript (and ArcGIS JavaScript API) for customizing Experience Builder or Dashboards, fluency with AI coding assistants such as Claude Code, Copilot, or Cursor, and familiarity with Pacific Northwest datasets and sources. Consulting experience is a plus.

What Will You Do for ESA

• The day-to-day work includes building and maintaining geodatabases for restoration, planning, permitting, and infrastructure projects, producing maps, figures, and spatial analyses for technical reports, NEPA and SEPA documents, and client deliverables.
• Configure field data collection tools for biological surveys, cultural resource inventories, and site assessments; and developing web maps, dashboards, and Experience Builder applications used directly by project teams and clients.
• You will write Python for automation, data pipelines, and custom tools, and manage code in shared Git repositories with code review and basic CI practices.
• You will also support remote sensing and machine learning workflows when projects call for them.
• You will collaborate closely with biologists, hydrologists, planners, cultural resources specialists, engineers, landscape architects, and other GIS analysts. The diversity of disciplines on the team makes the work engaging and underscores the importance of strong communication and time management alongside technical expertise.

What's Special About Our Geospatial Team in the Pacific Northwest

The Pacific Northwest geospatial team supports public agencies, tribes, and communities across the region. Recent and ongoing clients include the Bonneville Power Administration, Washington Department of Fish and Wildlife, Washington and Oregon Departments of Natural Resources, US Army Corps of Engineers, WSDOT, ODOT, Northwest tribes, port authorities, and local jurisdictions across Washington and Oregon.

Our work is embedded within ESA's core technical disciplines: Biological Resources, Cultural and Historic Resources, Environmental Planning, and others. Beyond the Pacific Northwest, our team regularly supports work from ESA's California Regions and Southeast Region, which brings exposure to challenges such as CEQA review and wildfire recovery in California, and sea-level rise and coastal resilience in Florida.

Our team is part of ESA's broader Technology Services Practice. For projects that grow beyond traditional GIS, we collaborate with in-house data engineers, software developers, and architects, allowing us to deliver more complex, integrated solutions.

What's Special About ESA

ESA is a 100% employee-owned environmental consulting firm. Every eligible employee receives an annual ESOP allocation, which means you build equity in the company through the work you do. Other benefits include medical, dental, and vision insurance with 70% of premiums covered for you and your family; a 401(k) with company match; paid vacation, sick leave, and holidays; tuition reimbursement; professional development bonuses; and support for attending conferences. Mentorship and career development are an active part of how the team works.

As a Hunter Solutions Architect on the Digital Natives team, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world.

Reporting to the Field Engineering Manager, you will collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way.

The impact you will have:

• You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
• Work directly with prospective, greenfield, customers on their 0 to 1 journey with Databricks 
• Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
• Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
• Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.

What we look for:

• 5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
• Experience building distributed data systems at scale 
• Comfortable programming in, and debugging, Python and SQL
• Experience using agentic coding harnesses and demonstrable experience scaling your work leveraging them 
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Expertise in one of the following:
• Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow)
• Available to travel to customers in your region
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• Nice to have: Databricks Certification

NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply.  We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #LI-REMOTE

As a Solutions Architect on the Digital Natives team, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world.

Reporting to the Field Engineering Manager, you will collaborate with customer stakeholders, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide one of our largest AI native customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way.

The impact you will have:

• You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
• Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
• Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
• Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.

What we look for:

• 7+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
• Experience building distributed data systems
• Comfortable programming in, and debugging, Python and SQL
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Expertise in one of the following:
  • Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
  • Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow)
• Available to travel to customers in your region
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• Nice to have: Databricks Certification

NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply.  We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the 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 into one of our largest AI native 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 of 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 account and use cases through leading your customers' stakeholders, building executive relationships, orchestration of 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 use your skills and technical credibility to engage and communicate at all levels with an organisation. 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 prioritized 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 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:

• 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 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 resolving complex and important escalation 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

Position Summary

A rapidly growing company is seeking a detail-oriented and highly skilled Mid-Level QA Engineer to join the team. This role plays a crucial part in ensuring software and hardware quality, verifying feature implementations, and maintaining stability throughout the development lifecycle.

The QA Engineer will work closely with the development and product teams to define test plans and test cases based on requirements documents or user stories, execute structured test plans, test new features, and validate bug fixes. The successful candidate will be responsible for maintaining test coverage across web and mobile applications, identifying defects, and ensuring products meet high-quality standards before release.

This role is specifically focused on bridging quality on in-house charging station production to ensure both hardware and software meet the company’s quality standards. The QA Engineer will work closely with charging station developers, mechanical engineers, and software engineers to ensure that charging stations are thoroughly tested with an emphasis on quality across the product stack.

In addition to traditional QA responsibilities, this role includes hands-on validation of charging station hardware and real-world system behavior. The ideal candidate will be comfortable working with physical devices, executing real charging scenarios, and validating how software, firmware, and hardware interact under real operating conditions.

Key Responsibilities

• Design and maintain test plans and test cases based on product requirements and system behavior.
• Perform testing across integrated systems (device + backend + application), ensuring correct behavior across system interactions.
• Execute and validate end-to-end charging workflows, including real-world scenarios with vehicle charging sessions.
• Verify system behavior under varying conditions (e.g., multiple vehicles, load distribution, prioritization, and state transitions).
• Validate charging performance, including charge rates and power delivery against expected system behavior.
• Test system behavior under edge conditions (e.g., network interruptions, restarts, partial failures).
• Debug issues across hardware, firmware, backend, and application layers by analyzing logs and observed system behavior.
• Identify, document, and reproduce defects across testing, staging, and production environments.
• Collaborate with engineering, product, and hardware teams to ensure quality across the full system.

Years of Experience

• 3–5 years of experience in QA or testing roles, with a preference for candidates who have demonstrated strong problem-solving ability, ownership, and the ability to ramp quickly in complex, integrated system environments.

Hard Requirements

Technical Skillset

• Strong proficiency in manual testing techniques across software and integrated systems (black box and grey box), including the ability to validate behavior beyond individual features.
• Experience testing or validating integrated systems (device + backend + application), with an understanding of how components interact in real-world scenarios.
• Experience with test case management tools (e.g., TestRail) and ability to design, organize, and maintain effective test coverage.
• Familiarity with project management tools (e.g., JIRA) and working within Agile development environments.
• Experience with API testing tools (e.g., Postman), including validating request/response flows and system integrations.
• Basic knowledge of SQL for data validation and verifying system behavior across backend services.
• Strong working knowledge of UNIX/Linux environments, including the ability to test, observe, and troubleshoot directly on charging station devices.
• Familiarity with Git and command-line tools for navigating codebases, logs, and system environments.
• Ability to interpret and correlate device logs, backend logs, and system outputs to diagnose issues across multiple system layers.
• Strong troubleshooting skills, with the ability to investigate issues across hardware, firmware, and software boundaries.

Core Expertise

• Comprehensive Testing Skills — Strong expertise in manual testing across web, mobile, and integrated systems, with a solid understanding of black box and grey box techniques.
• System & Integration Validation — Ability to validate end-to-end workflows and system behavior across multiple components, including real-world scenarios involving hardware and backend interactions.
• Debugging & Diagnostic Skills — Proficiency in using developer tools, logs, and system data to troubleshoot issues across device, backend, and application layers.
• Technical Proficiency — Strong understanding of REST APIs, SQL for data validation, and basic web technologies. Ability to validate system integrations and ensure data integrity.
• Cross-Platform & Real-World Testing — Experience testing across platforms (web, mobile, and devices), with the ability to identify platform-specific issues and validate behavior under varying system conditions.
• Agile & Cross-Functional Collaboration — Experience working in Agile environments and collaborating effectively with software, firmware, and hardware teams.
• Communication & Documentation — Strong written and verbal communication skills, with the ability to clearly document defects, test results, and system behavior.

Bonus Skills (Preferred, but not Required)

• Strong understanding of version control systems (e.g., Git) and command-line interfaces.
• Experience with automated testing tools (e.g., Playwright, Selenium) or performance testing tools (e.g., JMeter, Siege).
• Familiarity with EV charging protocols (e.g., OCPP, ISO15118) or similar communication frameworks within the EV ecosystem.
• Understanding of CI/CD pipelines and how testing integrates into release workflows, including build validation, regression testing, and deployment verification.
• Experience supporting or coordinating software release processes, including working across development, QA, and operations teams to ensure smooth, stable, and timely deployments.
• Experience setting up and maintaining test environments, including configuration, deployment, and troubleshooting.
• Experience validating releases in staging or production-like environments, with an understanding of rollout risks and system-level impact.

Additional Bonus

• Hands-on experience in testing for integrated systems.
• Background in mechanical or electrical engineering.
• Background in software engineering.

Soft Skills

• Attention to Detail: Exceptional attention to detail to catch subtle errors and inconsistencies that could lead to larger issues down the line.
• Critical Thinking: The ability to approach problems methodically and use data-driven insights to make informed decisions. A keen analytical mind that questions assumptions and seeks new solutions.
• Adaptability: The capacity to quickly adjust to new challenges and changes in project requirements or technologies, maintaining effectiveness in a dynamic environment.
• Team Collaboration: Strong team player skills, with the ability to work cooperatively with developers, other QA testers, and project managers to achieve common goals.
• Leadership Potential: While primarily a contributor role, potential for leadership is a plus, including the ability to mentor junior staff or lead testing segments of projects.

Why Join

• Be part of a dynamic and fast-growing company
• Competitive Salary
• Benefits Package includes:
• Medical, Dental and Vision insurance
• Paid Holidays
• Paid Time Off
• Ability to Participate in Electric Vehicle Incentive Program
• Ability to Participate in Company 401K Plan with match
• Quarterly Mental Health Days
• Employee Educational Reimbursement

Final compensation will be determined based on experience and skills, but will sit in a range of $80,000 - $90,000

The company is an Equal Opportunity Employer (EOE) and offers a remote-friendly work environment with benefits and the opportunity for personal growth as well as advancement within the company.

Engagement Structure

This role begins as a 1099 independent contractor engagement for up to three (3) months, with the intention of converting to a permanent, full-time position based on mutual fit and performance during the contract period. Benefits listed above apply upon conversion to a permanent employee.

Suvoda is a global clinical trial technology company shaping digital experiences that enable clinical trial sponsor and site professionals to take full command over the inherent logistical complexity behind mission-critical and time-sensitive patient interactions in life-sustaining studies for therapeutic areas such as oncology, central nervous system, and rare disease.  

Supporting clinical trials means supporting unique experiments that are inherently complex, high-stakes, and dynamic. It is imperative that Suvoda staff working with clients, end-users, or the systems that client and end-users interact with understand the clinical trial industry, regulations, Suvoda’s software products and processes, and especially the specificities of the unique trial in question before taking any actions they may alter the data of the system in question.  

Responsibilities:

• Work within a cross-functional project team to develop Interactive Response Technology (IRT) for randomization and drug supply management
• Review user requirements specifications, verifying that all requirements can be implemented with the Suvodasoftware in the required timeframe 
• Assistwith the creation of implementation design and technical design documentation 
• Develop software systems that are reliable, maintainable, and efficient, with emphasis on patient safety and integrity of clinical study data
• Manage the deployment of SuvodaIRT systems into all environments, completing all required documentation 
• Assistthe support team with troubleshooting and resolution of issues reported on production systems 
• Participate in the product research and development process by providing the engineering team with new solutionsand ideas based on project experience 
• Generate ideas for innovative technological solutions to increase the quality of Suvodasystem 
• Perform other related duties as required
  

Requirements:

• Bachelor’s degree 
• At least 1 year working experience with C#, .NET, and SQL Server
• Familiarity with Web-Services,  ModelView Controller (MVC) and Entity Framework (EF) a plus 
• High achieving personality
• Desire to learn and grow
• Strong work ethic
• Sense of ownership
• Proactive attitude
• Time management and organizational skills
• Attention to detail

#LI-AC1

While candidates in the listed location(s) are encouraged for this role, candidates in other US locations will be considered. #LI-REMOTE

As a Solutions Architect on the Digital Natives team, you will work with the leading data engineering, data science & ML teams in the market to push the boundaries of what big data architectures are capable of. 

Reporting to the Field Engineering Manager, you will collaborate with strategic customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way.

We are looking for high technical aptitude individuals with a deep sense of ownership and a desire to help customers ship solutions at production scale. Ideal candidates are deeply curious, capable of operating with confidence in ambiguous situations, and are extremely adaptable. 

The impact you will have:

• You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
• Drive technical discovery and solution design, focusing on winning competitive deals and accelerating time-to-value in strategic accounts.
• Continuously research & learn new technologies and their implementations on Databricks
• Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
• Collaborate with your fellow Solutions Architects, using your skills to support each other and our customers
• Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.
• Work closely with account executives to create and execute account penetration strategies, focusing on winning technical decision-makers and building new customer champions.
• Build trusted advisor relationships with senior and executive stakeholders by articulating the business value of Databricks in clear, outcomes-driven terms.
  
  

What we look for:

• 5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
• Experience building distributed data systems
• Comfortable programming in, and debugging, Python and SQL
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Expertise in one of the following:
• Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow)
• Strong executive presence with the ability to influence C/VP-level stakeholders and align technical solutions to strategic business priorities.
• Available to travel to customers in your region
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• Nice to have: Databricks Certification
  
  

NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply. We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.