Senior AI Data Engineer (Full-time)

Remote in CA, TX, NC, WA, ID, NV, AZ, CO, KS, AR, LA, AL, GA, FL, SC, TN, VA, MD, NJ, DE, IL, WI, MI, OH, MA, PA, NH, CT

Cortica is looking for a Senior AI Data Engineer to join its growing team!

The Senior AI Data Engineer will serve as both architect and builder of our data ecosystem. Every initiative will follow a complete engineering lifecycle: gathering stakeholder requirements, designing the solution, building and testing it, and shipping it to production. This role will work across data lakes, analytics pipelines, and lightweight application development— the multi-disciplinary data equivalent of a full-stack developer.

The Senior AI Data Engineer will work closely with the data science, finance, and clinical operations teams to design intelligent, automated data solutions that power care decisions, financial planning, and operational efficiency. AI augmentation is not optional — it is the standard working mode.

Cortica is a rapidly growing healthcare company pioneering the most effective treatment methods for children with neurodevelopmental differences. Our mission is to design and deliver life-changing care – one child, one family, one community at a time. Ultimately, we envision a world that cultivates the full potential of every child. At Cortica, every team member is instrumental in helping us achieve our mission!

Our culture and values guide how we work and treat one another. Cortica celebrates diversity and fosters an inclusive environment, seeking ideas and opinions from everyone on the team. We safeguard equal rights and respect for all individuals, regardless of race, color, religion, sex, national origin, age, disability, creed, genetic information, sexual orientation, gender identity or expression, ancestry, veteran status or other applicable, legally protected characteristics. All Cortica employment decisions are made based on an individual’s qualifications and ability to successfully perform the job responsibilities.

What will you do?

Full Lifecycle Project Ownership:

• Engage stakeholders directly to gather, clarify, and document project requirements.
• Translate requirements into architected data solutions: choose the right storage, pipeline, modeling, and delivery approach for each problem.
• Own testing end-to-end — unit tests, data quality checks, reconciliation, and integration tests before anything reaches production.
• Deploy solutions to production and monitor post-deployment health, iterating rapidly based on real-world feedback.

AI-First Data Engineering: 

• Run parallel AI coding sessions (Claude Code, Cursor, Codex) across different facets of a pipeline simultaneously — orchestrate, verify, and integrate the outputs.
• Build and maintain context files (CLAUDE.md equivalents) for data projects that encode schema conventions, pipeline patterns, and institutional knowledge — making every future AI session smarter.
• Design verification loops: automated data quality checks, dbt tests, CI hooks, and pipeline monitors that give AI agents concrete feedback on correctness. • Build MCP (Model Context Protocol) or equivalent integrations to connect AI agents directly to Snowflake, Amazon Athena, Postgresql, MySql, Power BI APIs, Salesforce, and internal tooling.
• Prefer frontier models for complex architectural decisions and rely on AI acceleration to dramatically increase engineering throughput.

Data Platform & Pipeline Engineering:

• Design and build complex, reliable data pipelines ingesting from AWS, Azure, Salesforce, MuleSoft, and multiple third-party APIs into our AWS Data Lake and Snowflake warehouse.
• Implement and evolve data models using Kimball methodology to support financial, operational, and clinical analytics.
• Optimize pipeline performance, manage data quality, and perform root-cause analysis on data anomalies — internal and external. • Develop and maintain orchestration workflows in Python, and AWS Glue.
• Continuously evolve the data schema as business and engineering requirements change.

Analytics & Reporting Enablement:

• Build and support Power BI data models and reports; empower analytics team members to self-serve on a reliable data foundation.
• Work with data analysts and data scientists to build reusable, well-documented pipeline components they can extend independently.
• Deliver data products that drive clinical care decisions, financial planning, and operational performance improvements.

Application Development:

• Build lightweight internal data applications and tooling where needed; data entry interfaces, operational dashboards, automation scripts that bridge the gap between data pipelines and end users.
• Design for agentic workflows: build AI-powered data tools accessible via web interfaces or Slack that surface insights proactively.
• Integrate with Salesforce Health Cloud and other platforms using APIs and event-driven patterns.

Security, Governance & Collaboration: 

• Ensure data security and HIPAA compliance in all pipeline and application work. Partner with IT to enforce data governance standards.
• Document decisions, tradeoffs, and architecture clearly so that future engineers (and AI agents) can build on your work effectively.
• Collaborate across IT, finance, clinical operations, and data science — acting as the connective tissue between data infrastructure and business outcomes.

We’d love to hear from you if:

• You have 5+ years of hands-on data engineering experience, including building and operating production data pipelines.
• You have expert-level Python skills for ETL, pipeline orchestration, and automation.
• You possess deep SQL proficiency — query optimization, data modeling, stored procedures.
• You bring 2+ years’ experience working with AI first development workflows.
• You bring 4+ years’ experience with the following AWS (S3, Glue, Lambda, Redshift), and/or Azure big data services.
• You have 1+ year of experience with Snowflake.
• You have 2+ years of experience with orchestration frameworks.
• You have 2+ years of Salesforce experience with Apex and configurations.
• You’re experienced with Kimball dimensional modeling — you've built star schemas and conformed dimensions in production.
• You have Power BI (or equivalent BI tool) experience — data model design and report development.
• You have API integration experience — REST, GraphQL, event streaming (Kafka, Kinesis, or similar).
• You possess application development literacy — comfortable building lightweight web tooling (Python/Flask, Node, or similar) to complement data products.
• You reside in one of the following states: CA, TX, NC, WA, ID, NV, AZ, CO, KS, AR, LA, AL, GA, FL, SC, TN, VA, MD, NJ, DE, IL, WI, MI, OH, MA, PA, NH, CT

Your Compensation & Benefits

Cortica cares deeply about the well-being of each member of our team, and we have created a passionate, caring, and growth-minded culture that helps teammates thrive! As a Cortica teammate, we’ll support your well-being through medical, dental, and vision insurance, a 401(k) plan with company matching and rapid vesting, paid holidays and wellness days, life insurance, disability insurance options, tuition reimbursements for professional development and continuing education, and referral bonuses. We value you and the experience you bring to your role, and are proud to provide you with a compensation and benefits package designed to enhance all aspects of your life.

The base pay range for this opening is $160,000 to $200,000. According to your skill level, relevant experience, education level, and location, you will receive compensation that fits appropriately within the range. EOE. This posting is not meant to be an exhaustive list of the role and its duties.

Privacy Notice 
Cortica is committed to protecting your personal information in compliance with applicable federal and state laws. Please review our Privacy Notice to understand how your data is collected, used, and protected. 

E-Verify Participation 
This employer participates in E-Verify. Click here to view the E-Verify Poster and your Right to Work. 
Este empleador participa en E-Verify. Este empleador participa en E-Verify. Haga clic aquí para ver el cartel de E-Verify y su derecho a trabajar. 

#LI-NF1

#LI-Remote

About this position:

We’re looking for a Machine Learning Infrastructure Engineer to join our growing Data & Platform team and build the foundation that powers our AI and machine learning capabilities across Later’s product portfolio. As our first dedicated ML Infrastructure Engineer, you will own the systems that support model experimentation, training, deployment, and monitoring at scale.

This role is critical to accelerating our data science initiatives and enabling future AI innovation. You’ll design and operate reliable, secure, and scalable ML infrastructure that empowers data scientists and engineers to ship high-impact models with confidence. If you’re excited about building robust ML systems in a fast-moving environment—and want to define the standard for ML Ops at Later—this is your opportunity.

What you'll be doing:

Strategy

• Define and own the long-term ML infrastructure roadmap, ensuring it supports both current experimentation needs and future AI initiatives.
• Establish best practices for model lifecycle management, deployment standards, monitoring, and governance. 
• Identify infrastructure gaps and proactively design scalable solutions to enable high-velocity ML development.
• Contribute to cross-functional technical planning, ensuring ML systems align with product and platform strategy.

Technical/ Execution

• Design, build, and maintain production-grade model deployment and inference systems using CI/CD pipelines, containerized services (Docker), and API frameworks (e.g., Flask).
• Automate end-to-end ML lifecycle workflows including training pipelines, model validation, registry management, deployment, and rollback strategies.
• Implement robust monitoring systems for model performance, latency, drift detection, and infrastructure health using tools such as CloudWatch, Prometheus, and Grafana.
• Operate across AWS and GCP environments to manage training and inference workloads, including GPU-based infrastructure and BigQuery datasets.
• Develop and maintain infrastructure-as-code (Terraform, CloudFormation) to ensure scalable, repeatable, and secure cloud environments.
• Implement and optimize CI/CD workflows (e.g., GitHub Actions, GitLab CI, Bitbucket Pipelines) for ML and infrastructure automation.

Team / Collaboration

• Partner closely with Data Scientists, Analysts, Platform Engineers, and Product Engineers to support end-to-end ML workflows.
• Translate data science experimentation needs into production-ready infrastructure solutions.
• Serve as the technical bridge between ML experimentation and productized deployment.
• Share knowledge and best practices to elevate ML maturity across teams.

Research/Best Practices

• Stay current on emerging ML Ops practices, tools, and frameworks to continuously improve system reliability and efficiency.
• Evaluate and implement model-serving frameworks (e.g., TorchServe, Seldon, TensorRT) where appropriate.
• Contribute to governance, reproducibility, and auditability standards for ML systems.
• Experiment with new tooling and workflows to improve reproducibility, performance, and developer velocity.

What success looks like:

• ML models move from experimentation to production quickly and reliably, with minimal manual intervention.
• CI/CD pipelines enable safe, repeatable deployments with clear rollback strategies.
• Model performance, drift, and infrastructure health are proactively monitored and observable.
• Infrastructure supports scalable GPU training and real-time inference without bottlenecks.
• Data scientists report improved velocity, reproducibility, and confidence in deploying models.
• ML systems are secure, compliant, and aligned with evolving product and AI strategy.

What you bring:

• 4+ years of experience in ML Ops, ML infrastructure, backend engineering, or related roles supporting production ML systems.
• Experience working in cloud-native environments (AWS and/or GCP) with hands-on deployment of ML workloads.
• Proven track record designing and implementing CI/CD pipelines for ML systems.
• Strong experience with Amazon SageMaker, Docker, Flask-based APIs, and infrastructure automation tools.
• Hands-on experience with ML lifecycle tooling such as MLflow, SageMaker Studio, or Weights & Biases.
• Experience managing container orchestration platforms (Kubernetes, EKS, or GKE).
• Strong programming experience in Python (additional experience in Go, Java, or Scala is a plus).
• Experience working with infrastructure-as-code tools such as Terraform or CloudFormation.
• Familiarity with observability tools such as CloudWatch, Prometheus, Grafana, Datadog, or centralized logging platforms.
• Experience managing GPU-based workloads and scaling training/inference systems.
• Familiarity with data infrastructure tools such as BigQuery and cloud-native data pipelines.
• Bonus: Experience supporting LLMs or generative AI pipelines, distributed training systems, feature stores (e.g., Feast), real-time inference systems, or ML governance frameworks.
• A mindset focused on automation, reliability, performance, and continuous improvement in fast-scaling environments.

How you work: 

• Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.
• Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights.
• Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement.
• Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high.
• Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth.
• Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity.

Our approach to compensation:

We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.

Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only.

To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. 

Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package.

Salary Range: 

$ 145,000 -165,000 

#LI-remote

Summary:

The Development organization is comprised of four Process teams: Protein, Polysaccharide, Conjugate Drug Substance (Conjugation), and Drug Product. These Process Development teams are supported by Analytical Development and Formulation Development teams. Vaxcyte is looking for a Senior Associate Scientist (contract) with experience in microbial fermentation and upstream processing to join the Upstream Polysaccharide Process Development team. The candidate will be responsible for collaboration on experimental design and execution of experiments to further develop and optimize upstream processes for polysaccharide manufacturing using microorganisms. The successful candidate will have practical laboratory experience related to microbial fermentation processes and eager to utilize and learn new laboratory skills. The role will require >50% time in the lab and this person will be able to independently detail experimental procedures/results in written and presentation formats. The successful candidate may interface closely with the cross-functional team, write detailed technical reports, present experimental results internally, and may potentially interface with external CMO partners.

Essential Functions:

• Support in study design, execute, and analyze experiments for upstream polysaccharide for bacterial fermentation (BSL2) and vaccine production processes.
• Execute experiments to develop the upstream process parameters (e.g., media, feed, pH, temperature, dissolved oxygen, agitation, etc.) and to enhance product yield, quality, and consistency.
• Perform microbiology related work including plating, colony selection, Gram staining and cell enumeration on microscope.
• Perform fermentation vessel assembly and script writing for process automation and execute fermentation experiment in shake-flask and lab scale bioreactors.
• Prepare media and buffer as needed for experiments.
• Operate and maintain instrumentation for bacterial fermentation and primary recovery (centrifugation, filtration, etc.) of bacterial polysaccharides utilizing aseptic techniques.
• Support analytical method execution including optical density, residual metabolites and polysaccharide concentration and other relevant analytical techniques.
• Assist in executing process development studies.
• Keep accurate and current records of research and/or project related activities in laboratory notebooks and Electronic Lab Notebook.
• Prepare and review protocol, technical reports, SOPs, and batch records.
• Present and communicate scientific data and results to internal stakeholders.
• Be an outstanding teammate and collaborate effectively with cross functional team members.
• and collaborate effectively with downstream, analytical, and manufacturing teams within Polysaccharide Development and Manufacturing team to ensure seamless technology transfer and process integration.

Requirements: 

• MSc in Chemical/Biochemical Engineering, Biotechnology, or similar degree with a minimum of 3 years of relevant industry experience, or BSc with a minimum of 5 years of relevant industry experience.
• Experience in handling microorganisms with proper aseptic techniques to perform upstream processing related work in flasks/bioreactors.
• Hands-on experience and theoretical understanding of key processing operations such as microbial culture, fermentation process, microbial media, and process optimization and relevant analytical technologies; experience with depth filtration, continuous centrifugation is a plus.
• Develop and optimize scripts for instrumentation, including Ambr® systems, to enhance efficiency and automate processes, leveraging programming languages such as Python or R is a plus.
• Experience with Design of Experiments (DoE) principles and DoE software.
• Process characterization experience is a plus.
• Cell banking expertise, colony selection and genetic analysis of recombinant strains is a plus.
• Proficiency with computer programs such as Microsoft Excel, Word, PowerPoint, Visio and JMP.
• Working knowledge of GMP requirements.
• Proven ability to succeed in a cross-functional team environment, effectively managing multiple projects and contributing to team outcomes.
• Strong interpersonal skills, with excellent written and verbal communication abilities.

OPEN POSITION ANNOUNCEMENT!

Data Engineer

Open until filled.

Posted 4/29/2026 San Diego County – hybrid work schedule set by SDCP

About the role:  The San Diego Community Power (SDCP) is seeking a seasoned Data Engineer to join our growing team of analytics experts who will be responsible for designing, maintaining, expanding, and optimizing our data infrastructure for data collection, management, transformation, and access. A key priority of this role will be to assist in SDCP’s development of centralizing its data eco-system to allow for creation of pipelines that convert raw data into usable formats for data analysts and other data consumers to utilize. The Data Engineer will handle the core data aspects of software engineering and data science and utilize software engineering principles to develop algorithms that automate the data flow process. They will collaborate with data and system analysts to build machine learning and analytics infrastructure from testing to deployment. 

WHO IS SAN DIEGO COMMUNITY POWER?

San Diego Community Power is a community-driven, not-for-profit public agency providing cleaner energy to the San Diego region. Formed in 2019, Community Power is the second largest Community Choice Aggregator (CCA) in California, serving nearly 1 million customer accounts across its member agencies: the Cities of San Diego, Chula Vista, Encinitas, Imperial Beach, La Mesa and National City, as well as the unincorporated areas of San Diego County.  

OUR HISTORY

San Diego Community Power was formed in 2019 as a public, not-for-profit community choice aggregator (CCA) in the San Diego region. We began electric service in 2021 and serve five member agencies: San Diego, Chula Vista, Encinitas, La Mesa and Imperial Beach, County of San Diego, and National City. SDCP was formed to bring local control and customer choice to San Diego while also providing clean and renewable energy at competitive rates. By the end of 2023, SDCP will provide electricity for nearly half the electric load in San Diego Gas and Electric’s service territory and will be the second largest CCA in California. For more information, please visit SDCommunityPower.org.

COMMITMENT TO DIVERSITY

At SDCP, we value diversity and are committed to creating an inclusive environment for all employees. We represent a diverse customer base and hope to hire employees that reflect our communities. We provide equal employment opportunities to all applicants for employment and prohibit discrimination and harassment of any type 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. 

ESSENTIAL DUTIES AND PRIMARY RESPONSIBILITES

• Building and maintaining a centralized cloud-based data infrastructure for optimal extraction, transformation, and loading of data from a wide variety of sources. 
• Assemble large, complex data sets that meet functional/non-functional business requirements. 
• Developing data tools and APIs for data analysis. 
• Deploying and monitoring machine learning algorithms and statistical methods in production environments to solve organizational needs. 
• Ensuring data accessibility and security and implementing company data policies regarding data privacy and confidentiality. 
• Improving data systems reliability, speed, and performance. 
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer trends, operational efficiency, and other key business performance metrics. 
• Collaborating with other internal teams, data analysts, and other stakeholders to understand and optimize how data can be leveraged to meet business needs. 
• Assist in drafting data and analytics’ solicitations and in the selection of consultants. 
• Assist with drafting staff reports and presentations for Board and Committee meetings. 
• Performs other related duties and responsibilities as required. 

MINIMUM KNOWLEDGE, SKILLS, AND ABILITES

• Advance working knowledge of SQL, experience working with relational databases, query authoring (SQL) and working familiarity with various databases. 
• Demonstrated experience in developing API and integrations to support analytics in cloud environment. 
• Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets. 

• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. 
• Strong analytic skills related to working with unstructured datasets. 
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management. 
• A successful history of manipulating, processing, and extracting value from large, disconnected datasets. 
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores. 
• Good understanding of data architecture, data design, data warehousing and data modeling concepts. 
• Strong project management and organizational skills. 
• Experience supporting and working with cross-functional teams in a dynamic environment. 

PREFERRED KNOWLEDGE, SKILLS, AND ABILITES

• Experience in the energy sector and/or supporting the implementation of programs funded by California state agencies (e.g., California Public Utilities Commission, California Energy Commission, California Air Resources Board).
• Ability to strongly represent the organization in various professional engagement settings from local to national convenings (conferences, workshops, executive meetings, etc.).

PREFERRED QUALIFICATIONS, EDUCATION AND EXPERIENCE

Minimum of two (2) to three (3) years of professional experience in a Data Engineer role, preferably in the energy industry with a graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. The candidate should also have experience using the following software/tools:

• Experience with big data tools: Hadoop, Spark, PowerBI, Kafka, etc.
• Experience with AWS, Azure and Google Cloud services.
• Experience with relational SQL and NoSQL databases.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with open-source technologies: Python, Pytorch, Flask, Tensorflow or Keras
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Java, C++ etc.
• Experience with batch, micro-batching and real-time data ingestion methodologies.
• Experience with GitHub or similar code repositories

WORK ENVIROMENT & CONDITIONS

Prolonged periods sitting at a desk and working on a computer. The position requires occasional carrying, lifting and/or moving objects up to 25 pounds. Occasional local travel required and reliable transportation to be able to attend SDCP events, meetings, and workshops as needed is expected. At SDCP we work in the communities we serve and in the office. SDCP works to ensure a safe and healthy workplace for employees and in our communities. SDCP requires employees to be fully vaccinated for COVID-19. SDCP is an agency required to adopt and promulgate a Conflict-of-Interest Code (“COI”). The COI code requires employees in designated positions, including those identified under the interim disclosure process to file a Statement of Economic Interests (Form 700) on an annual basis. A Successful candidate accepting this position may be required to file Conflict of Interest forms subject to the regulations of the Fair Political Practices Commission.

COMPENSATION: 

Salary Range: The position salary range is: $84,900 - $110,400; with exact compensation to be determined by SDCP, depending upon experience. 

Benefits: Standard benefits package including but not limited to:

Insurance: SDCP offers group health benefits, including medical, vision, and dental insurance, for eligible FT employees. Also provided is a $100,000 Life & AD&D policy, STD and LTD coverage that is 100% paid by SDCP.

Retirement: SDCP offers a 457(b) plan for employee contributions and contributes 10% of eligible compensation to the employee’s Money Purchase Plan.

Paid Time Off: 11 holidays per year + paid winter holiday (between 12/24-12/31), 160 hours of accrued paid time off per year (increases with time in service), and 96 hours per year of accrued paid sick leave.

This job description may not be inclusive of all assigned duties, responsibilities, or aspects of the job described, and may be amended at the discretion of SDCP as needed. 

Who We Are:

Inversion builds advanced reentry systems to deliver next-generation capabilities from space.
 
Our mission is to make Earth radically more accessible by turning Low-Earth Orbit into an on-demand logistics domain. We see space not as a destination, but as a platform — one that unlocks unprecedented speed and global reach.
 
Our spacecraft are designed to deliver payloads anywhere on Earth in under an hour, operating through extreme reentry conditions and landing with high precision. These systems open the door to new ways of testing, delivering, and operating at hypersonic speeds.
 
Inherently dual-use, our technology is built to meet urgent national security needs while laying the groundwork for future commercial applications. Backed by leading investors including Y Combinator, Spark Capital, and Lockheed Martin Ventures, and working with partners such as the U.S. Space Force and NASA, Inversion is pushing the boundaries of what’s possible in space-based defense and logistics.

About the Role

As a Senior Back-end Engineer at Inversion, you will work as part of the simulation team to design, develop, and maintain the architecture and server-side logic of the applications that support the simulation and test environments for our flight systems. The simulation team is responsible for ensuring that flight software and flight hardware can be continuously integrated and tested under realistic flight conditions. You will play a key role in the design and development of data management and self-service tools that will enable fast, repeatable development and deployment workflows across the engineering stack. Your work will empower Inversion’s engineering teams to iterate rapidly throughout the development life cycle and will strengthen Inversion’s ability to put our products into the hands of our customers with unprecedented speed and agility.

What You'll Do

• Design, deploy, and maintain the server-side logic and infrastructure of the applications that support simulation workflows, including high-performance computing (HPC), software-in-the-loop (SIL) testing, and hardware-in-the-loop (HIL) testing
• Select a back-end tech stack that ensures the performance and scalability of our applications
• Design and implement a back-end architecture that strikes the right balance between simplicity and flexibility
• Design and develop databases architectures and data pipelines to meet configuration and data management needs
• Leverage self-documenting API tools and technologies to develop robust and efficient APIs
• Leverage modern web frameworks to develop server-side logic
• Work with front-end engineers to integrate the front-end with the back-end and deliver a smooth user experience (UX)
• Contribute to the design and development of a simulation system capable of automatically provisioning and deploying resources to support simulation workflows

Required Qualifications

Candidates must meet all of the following qualifications to be considered for this position:

• 6+ years of professional experience in back-end or full-stack development
• Expertise in back-end engineering and best practices
• Proficiency in one or more scripting languages (Python, Lua, Bash, PowerShell, etc.)
• Experience with Linux-based systems
• Experience with modern DevOps practices
• Experience with one or more back-end architectures (monolithic, modular, serverless, event-based, microservices, etc.)
• Experience with one or more API architectures (REST, GraphQL, gRPC, WebSockets, Webhooks, etc.)
• Experience with one or more database systems (MySQL, Oracle, MongoDB, DynamoDB,  InfluxDB, etc.)
• Experience with cloud computing platforms (AWS, Azure, GCP, OpenStack, CloudStack, etc.)

The ideal candidate will also meet one of the following qualifications:

• Expertise in database administration for both SQL and NoSQL databases
• Expertise in SaaS/PaaS development
• Expertise in network administration

Desired Qualifications

• Extensive experience with Python and Python-based web frameworks (Django, Flask, Quart, FastAPI, etc.)
• Extensive experience with C/C++ or Rust
• Experience with async and multithreaded architectures
• Experience with time-series databases (InfluxDB, QuestDB, TimescaleDB, Prometheus, etc.)
• Experience with message-oriented middleware (NATS, Apache Kafka, RabbitMQ, etc.)
• Familiarity with one or more front-end JS frameworks (React, Angular, etc.)
• Familiarity with one or more open-source cloud computing platforms (OpenStack, CloudStack, etc.)
• Familiarity with containerization (Docker, Docker Compose, etc.) and orchestration (Kubernetes, Docker Swarm, etc.)
• Familiarity with system observability tools (Prometheus, Grafana, ELK, etc.)

Our office headquarters is located in Playa Vista, CA. This position requires in office presence.

_{The California annual base salary for this role is currently $139,000 - $201,000.  Pay Grades are determined by role, level, location, and alignment with market data.  Individual pay will be determined on a case-by-case basis and may vary based on the following considerations: interviews and an assessment of several factors that are unique to each candidate, job-related skills, relevant education and experience, certifications, abilities of the candidate and internal equity.} 

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

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

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

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

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

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

Come join us. 

Job Summary:

As a Data Software Engineer, you will be at the forefront of supporting our data infrastructure and shaping our data systems and processes. You will gather and analyze user and system requirements, create and optimize system models, and develop robust data integration solutions. Through engagement with cross-functional teams, you will refine, test, and develop data solutions to meet complex business needs. You will have an impact on our data systems, driving innovation and efficiency in our data integration processes and our reporting capabilities. Your work will enhance our ability to leverage data for strategic decision-making and operational excellence. 

Responsibilities:

• Extend database models, front-end frameworks, and REST APIs for data system integration and application performance.
• Develop and maintain robust query pipelines for accurate and timely data processing from various sources.
• Support, enhance, and troubleshoot existing data integration systems and reporting infrastructure.
• Write clean, efficient, and well-documented code.
• Collaborate with cross-functional teams to design, develop, and deploy new features.
• Conduct root cause analysis, code reviews, and unit testing in partnership with experienced team members.
• Assist fellow engineers and managers with data queries, development of data processing algorithms, feature enhancements, bug issues, and application navigation.
• Provide comprehensive support and timely resolution for internal customer issues.
• Demonstrate strong problem-solving and decision-making skills with sound judgment.  

Experience/Qualifications:

• Bachelor’s degree in computer science, Math, Physics, Engineering, or related field.
• 3+ years of professional experience in Software Engineering, with a focus on developing and maintaining scalable applications.
• Knowledge of Python and SQL programming languages and integrations.
• Proficiency in data modeling and database design principles.
• Experience designing data-intensive applications using Python frameworks such as Flask, Django, FastAPI, etc.
• Experience with data visualization tools such as: Tableau, PowerBI, Python Dash, or JMP.
• Competency in web application programming and markup languages including JavaScript, HTML, CSS, and related frameworks.
• Practical experience using Git for version control and collaborative software development.
• Proficiency with software development best practices including design, documenting, testing, and debugging.
• Experience with ETL and data ingestion processes and pipelines. 

Preferred Skills & Experience: 

• Familiarity with semiconductor testing and design principles or prior experience in designing data-driven applications in semiconductor industries.
• Experience with data manipulation and scientific computing Python tools and packages, including but not limited to Pandas, NumPy, SciPy, Matplotlib, Jupyter, etc.
• Experience in designing CI/CD pipelines and orchestrating automated deployments. 

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

We are not accepting unsolicited resumes from employment agencies.

WHAT YOU'LL DO

• Build sophisticated data triage and exploration interfaces that enable users to filter, analyze, and investigate data across millions of records
• Design and develop web front-end visualization tools for Zipline's data pipelines, enabling high-quality analysis to solve critical autonomy problems
• Build scalable and performant backend APIs and realtime data pipelines to support complex querying, filtering, and aggregation across large datasets
• Design and implement efficient database schemas, indexes, and query optimization strategies to ensure performant search and analysis at scale
• Collaborate closely with engineering teams to understand workflows and deliver tools that improve operational efficiency and data-driven decision making

WHAT YOU'LL BRING

• Demonstrated experience building production-grade full stack web applications
• Proven ability to work closely with internal customers and deliver software end-to-end in order to address diverse needs
• Strong experience with data-heavy web applications and performance optimization for large datasetsUnderstanding of database query optimization and working with complex JSON/nested data structures
• Strong user-centered design thinking - ability to iterate with users and translate complex technical requirements into intuitive UX
• Expertise in modern front-end (Typescript, React, Zustand, Storybook, Playwright)
• Experience with backend frameworks for API design (Django, Flask, FastAPI)
• Working knowledge of cloud databases (e.g. AWS RDS, DocumentDB)

What Else You Need to Know   

🚀SR SOFTWARE ENGINEER WANTED - DRIVE MEANINGFUL IMPACT AT HYPERGROWTH VENTURE🚀

Are you driven by impact, ownership, and a passion for elegant yet efficient systems?

⚙️What You’ll Do⚙️

• Build responsive frontend applications for complex ad operations workflows
• Deploy and maintain production cloud infrastructure (AWS/GCP/Azure) with CI/CD, monitoring, and scaling
• Collaborate on system architecture decisions supporting multiple AI agent integrations

🎮Technical Requirements🎮

Must-Have:

• Languages: JavaScript expertise with modern frameworks (React/Vue/Angular), Python expertise, and experience with at least one low-level language (C, C++, Rust, Zig, or similar)
• Experience: Building large-scale SaaS platforms from scratch; Cloud deployment and DevOps

Preferred Technologies:

• React/Next.js/Vue.js, FastAPI/Django/Flask, Docker/Kubernetes, PostgreSQL/MongoDB/Redis, Temporal/Airflow/Dagster), Kafka/RabbitMQ, AuthN and AuthZ

🧬Who You Are🧬

A driven overachiever with an owner mindset.

You're not just a coder - you're an architect who sees the big picture while mastering the details. You take pride in building high-quality systems that deliver results. You push yourself to solve problems others can't and constantly seek to expand your technical horizons.

💵Comp & Benefits 💵

Salary: 

$120-180k Base depending on experience

• Performance Bonus Eligible

Benefits include:

• Health, Dental, Vision coverage
• Unlimited PTO
• 401k + matching 
• Life Insurance
• Parental Leave
• And more ✨

🛸Why Join Us🛸

We're experiencing exceptional growth in a contracting market. We combine startup agility with established financial stability. You'll work on exciting challenges with a brilliant team of like-minded professionals who value both technical excellence and creative problem-solving. You'll have immediate impact on critical systems and clear paths for professional advancement.

This isn't just another job - it's your chance to build something meaningful with people who are as passionate and talented as you are.

🧩If this sounds like you - we’d love to talk! Apply here >>

We are seeking a Product-Minded Senior Backend Software Engineer who is passionate about architecting high-performance APIs and scalable cloud services. In this role, you will be a key driver of our clinical applications, building the robust REST APIs that power our Vue.js frontend.

We aren't just looking for a coder; we are looking for a technical partner who can take high-level product goals and translate them into actionable technical roadmaps. You will work at the intersection of complex medical data and seamless user experiences, ensuring our backend systems are robust, secure, and highly available

Job Responsibilities

• Lead the design, development, and scaling of backend services and APIs powering core product functionality
• Product Strategy: Partner with Product Managers to take high-level project goals and translate them into technical requirements, architectural designs, and actionable work items.
• Influence engineering best practices, tooling, and architecture patterns
• Design and implement secure backend systems, including but not limited to authentication, authorization, and access control
• Make high-impact architectural decisions across backend services, balancing performance, security, and scalability, including areas such as identity management when relevant
• Identify technology risks and dependencies early to establish mitigation plans
• Mentor and guide other engineers through technical design, code  reviews, and coaching
• Participate in security audits and compliance reviews 
• Implement rigorous authentication and authorization protocols. Ensure all backend development adheres to FDA regulations and HIPAA standards for medical software.
• Collaborate cross-functionally with key partners in Product Management, Strategy, Operations, and Regulatory to ensure high-quality, high-impact delivery of innovative software projects

Qualifications required

• Education: Bachelor's degree in Computer Science, Engineering, or related discipline, or equivalent experience.
• Experience: 10+ years of relevant industry experience 
• Technical Proficiency: 
• Strong proficiency in modern backend (e.g., Python, Java, Go, Django, Flask, or similar) technologies and database technologies (SQL, NoSQL, or similar), understanding of front-end (e.g., Vue.js, JavaScript, React, Angular, or similar) technologies
• Project Experience: 
• Strong expertise in distributed systems and microservices architecture
• Demonstrated experience in building, deploying large-scale, secure RESTful APIs
• Leadership Skills: Experience driving technical vision and leading architectural decisions; ability to mentor and lead other engineers.
• Methodologies: Experience with Agile development methodologies and project management tools.
• Security Knowledge: Strong understanding of web and OWASP security best practices.
• DevOps: Experience with DevOps best practices (e.g., CI/CD pipelines).
• Regulatory Understanding: Experience with or willingness to learn about FDA regulations and compliance requirements for medical software.
• Collaboration: Demonstrated ability to work in a fast-paced, collaborative environment.

How you stand out

• Experience with AWS Lambda, AWS ECS, AWS Fargate
• Experience with integrating OpenID, OAuth2, or SAML protocols
• Experience with medical applications or other regulated industries

A reasonable estimate of the base salary compensation range is $180,000 to $215,000, bonus, and equity. #LI-IB1

About your role

Rocket Lawyer is looking for a motivated and passionate AI/ML Software Engineering Intern to join our team working on Rocket Copilot, our AI assistant launched in December 2023. In this internship, you will collaborate with our cross-functional teams to assist in building a cutting edge AI platform. You’ll have the opportunity to learn from experienced engineers while working on real-world AI/ML projects, helping design, implement, test, and maintain new AI features.

We value a collaborative and supportive work environment, where we celebrate learning and growth. This is a great opportunity for someone eager to expand their skills and contribute to innovative AI solutions.

Responsibilities

• Assist in prompting, evaluating, fine-tuning, and maintaining large language models (LLMs) for AI features
• Support the creation, monitoring, and troubleshooting of backend API services that interact with ML models
• Collaborate with cross-functional teams to integrate AI into existing and new Rocket Lawyer products
• Research and stay up-to-date with industry trends around generative AI and machine learning
• Prototype product features to explore new AI capabilities and write clean, understandable code

What you’ll need

• Currently pursuing a BS, MS, or PhD in Computer Science, Mathematics, Statistics, or a related field.
• Basic understanding of machine learning concepts and algorithms.
• Familiarity with generative AI technologies and models (Deep Learning, RAG, Neural Networks, Agents).
• Interest or experience working with large language models (LLMs) and generative AI.
• Strong programming skills in Python

A bonus if you have

• Experience with backend Python frameworks like FastAPI, Flask, Django, etc.
• Familiarity with vector databases.
• Additional programming skills in languages such as Java, Kotlin, or NodeJS.
• SQL knowledge.
• Interest in building user-facing products.
• Understanding of microservices architectures and distributed systems.

Interview Process

• Recruiter Phone Screen
• Hiring Manager Interview
• Team Interview