Colaboratory Python Jobs in Usa

Developer Advocate (DevRel) / Contract, extendable 3-months / Palo Alto, CA

Summary:

As the Developer Advocate for our Agents, you are the bridge between our products and the global engineering community. Your mission is to champion a new era of Agentic DevOps, helping developers move beyond manual pipelines to autonomous, AI-driven software delivery.

You will be the primary voice for our suite of Agents, ensuring that developers can seamlessly integrate AI into their existing SDLC.4

Responsibilities:

• Content Creation: Produce high-signal technical content—tutorials, deep-dive blogs, and "Agent Recipes"—that demonstrate how to use Client’s Agents to automate security audits, performance benchmarking, and multi-cloud deployments.
• Community Engagement: Actively support the "Agentic" community on GitHub, Discord, and Stack Overflow. You will represent Client at industry events, leading workshops on how AI agents reduce developer toil.
• Product Feedback ("Customer Zero"): You will be the first to test new agent capabilities. You’ll document friction points in the Agentic SDLC (AISDLC) and advocate for community-requested features in roadmap meetings with our CTO and engineering teams.
• Developer Education: Build and maintain "Get Started" templates that reduce time-to-value

Required Skills:

• Technical Background: 3+ years of experience in software engineering (Python, Go, or JavaScript). Familiarity with LLM orchestration frameworks and CI/CD tools is a major plus.
• Communication: Proven ability to explain complex "Agentic" concepts—such as prompt engineering for DevOps or automated remediation—to both platform engineers and developers.
• Portfolio: A public presence, such as a technical blog, active GitHub repository featuring automation projects, or a history of speaking at AI meetups.

Role – Senior AWS PySpark Developer

Location – Hybrid – South San Francisco, CA

We are seeking an experienced Sr. AWS PySpark Developer with 8 -10 years of experience to design, build, and optimize our data pipelines and analytics architecture. The ideal candidate will have a strong background in data wrangling and analysis, with a deep understanding of AWS data services.

Key Responsibilities:

• Design, build, and optimize robust data pipelines and data architecture on the AWS cloud platform.
• Wrangle, explore, and analyze large datasets to identify trends, answer business questions, and pinpoint areas for improvement.
• Develop and maintain a next-generation analytics environment, providing a self-service, centralized platform for all data-centric activities.
• Formulate and implement distributed algorithms for effective data processing and trend identification.
• Configure and manage Identity and Access Management (IAM) on the AWS platform.
• Collaborate with stakeholders to understand data requirements and deliver effective solutions.

Required Skills & Experience:

• 8-10 years of experience as a Data Engineer or Developer.
• Proven experience building and optimizing data pipelines on AWS.
• Proficiency in scripting with Python.
• Strong working knowledge of:
• Big Data Tools: AWS Athena.
• Relational & NoSQL Databases: AWS Redshift and PostgreSQL.
• Data Pipeline Tools: AWS Glue, AWS Data Pipeline, or AWS Lake Formation.
• Container Orchestration: Kubernetes, Docker, Amazon ECR/ECS/EKS.
• Experience with wrangling, exploring, and analyzing data.
• Strong organizational and problem-solving skills.

Preferred Skills:

• Experience with machine learning tools (SageMaker, TensorFlow).
• Working knowledge of stream processing (Kinesis, Spark-Streaming).
• Experience with analytics and visualization tools (Tableau, Power BI).
• Knowledge of optimizing AWS Redshift performance.

Education

• Bachelor’s or Master’s Degree in Information Technology, Computer Science or relevant field.

Work Environment

This job operates in a professional office environment. This role routinely uses standard office equipment, including but not limited to, computers, phones, and photocopiers.

Physical Demands

This position requires the frequent and repetitive use of a computer, keyboard, and mouse. Hand and finger dexterity is required.

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

EEO

Saama provides equal employment opportunities to all employees and applicants for employment and prohibits 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.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

We are currently supporting a direct client that has recently migrated from a legacy data platform to Databricks as part of a broader modernization initiative. As this is a new implementation of their Lakehouse platform, the team is looking for a Senior Databricks Platform Administrator who can play a key role in guiding the platform through the next phase — including POC validation, platform governance, and operational best practices.

This role is ideal for someone who enjoys working at the architectural and platform level, helping organizations avoid common pitfalls and ensuring the Databricks environment is built for scalability, performance, security, and cost optimization from day one.

You will have the opportunity to shine with your expertise by advising the client on platform design, governance models, cluster strategy, and DevOps automation, while helping establish the foundation for a robust enterprise Lakehouse environment.

Key Skills & Experience

• Databricks workspace administration and cluster governance
• Unity Catalog, Delta Lake, and Spark performance optimization
• AWS architecture including IAM, VPC, S3, KMS, PrivateLink, and CloudWatch
• Terraform and Infrastructure-as-Code for platform provisioning
• CI/CD pipelines, Git workflows, Databricks CLI, and API integrations
• Automation using Python or Bash
• Cost optimization and platform governance strategies

Nice to Have

Experience with:

• Delta Live Tables
• Auto Loader
• MLflow
• Feature Store
• Databricks Serverless Computer

Day to Day: We are looking for an Azure Devops Architect who will be responsible to Architect and govern end-to-end Azure DevOps and cloud platform solutions, including CI/CD pipelines, Infrastructure as Code (IaC), security controls, monitoring, and release management. To Define, maintain, and evolve reference architectures, design patterns, and standards for Azure DevOps, Terraform, and Azure-native services to support reuse across client engagements. To Provide architectural oversight and technical direction to Azure DevOps Developers and implementation teams, ensuring solutions meet scalability, reliability, and security best practices. To lead DevSecOps strategy, embedding security, compliance, identity, and risk management controls into pipelines and infrastructure designs from the outset. To Collaborate with Solution Architects and client stakeholders to translate business and technical requirements into actionable architectures and delivery roadmaps. To Establish and enforce CI/CD governance standards, including branching strategies, artifact management, quality gates, approvals, and release policies. To Review and approve infrastructure designs, pipeline configurations, and automation frameworks prior to implementation to ensure architectural integrity. To Guide migration strategies from legacy and on-premises environments to Azure, including hybrid and multi-cloud architectures where applicable.

Must Haves:

• Expert-level knowledge of Azure DevOps Services, including Azure Boards, Repos, Pipelines, Test Plans, and Artifacts.
• 7+ years of experience in cloud engineering, DevOps, or infrastructure architecture roles.
• 5+ years of experience designing and implementing enterprise-scale CI/CD and IaC solutions.
• Deep expertise with Infrastructure as Code (IaC) tools such as Terraform, including module design, state management, and environment strategy.
• Strong experience integrating security, compliance, and identity controls into cloud and DevOps architectures.
• Advanced scripting and automation skills using PowerShell, Bash, and/or Python.
• Proven experience in client-facing architectural leadership, including requirements discovery, solution design, and executive-level communication.
• Strong knowledge of Azure platform services and the MS 365 ecosystem.

Plusses:

• MS Azure Architect Expert certification (or equivalent).
• Demonstrated leadership in DevSecOps within regulated, enterprise, or high-compliance environments.
• Experience defining and implementing enterprise governance models, including landing zones, Azure Policy, RBAC, cost management, and security baselines.

Benefits:

The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, (paid time , paid sick and safe time , hours of paid vacation time, weeks of paid parental leave, paid holidays annually - AS Applicable)

Axiom is hiring a Full-Stack Engineer. You’ll work on an emerging AI-driven platform, contributing to features that support smarter, more efficient hiring. If you enjoy tackling complex problems in a fast-paced environment, this could be a great fit.

The Company

This is a fast-moving, venture-backed team with real traction and a product users genuinely love. They’re reimagining hiring with an AI system that delivers faster, sharper insights for candidates and employers. You’ll join a tight, highly driven group that values ownership, clever problem-solving, and building ambitious tech together.

What We’re Hiring For

We’re looking for an engineer with strong full-stack experience and a passion for building both consumer-facing and enterprise-grade systems.

Experience across the following is ideal:

• Strong grounding in JavaScript/TypeScript with React, Node.js and Next.js.
• Solid Python experience for backend and data-heavy work.
• Confident with cloud and DevOps tools including Azure, Kubernetes and Docker.
• Skilled in designing reliable, scalable systems and platform architecture.

If you enjoy tackling technical challenges that blend AI, systems engineering, and product design, this role will keep you intellectually energized.

What you’ll enjoy:

• Competitive salary, meaningful equity and a strong benefits package.
• A rare opportunity to help shape a category-defining AI product in a rapidly growing market.
• Early-team ownership with direct founder access and meaningful equity.
• The thrill of shipping fast and seeing your work make real impact for active users.
• A dynamic, collaborative engineering culture that values craft, speed and bold ideas.

If you’re excited to build with a world-class team and want your work to have real impact across the hiring landscape, this role offers the perfect mix of challenge and opportunity.

How to Apply

Apply directly through this advert or email your CV to Colin at .

Position Overview

We are seeking a skilled IAM Analyst to join our Identity and Access Management team, focusing on the design, implementation, and management of secure authentication and authorization systems for marketing applications. This role will be instrumental in advancing our SSO capabilities and ensuring seamless user experiences while maintaining the highest security standards.

Key Responsibilities

Identity Integration & SSO Implementation

• Design and implement Single Sign-On (SSO) based integrations for various marketing applications with Azure Active Directory/Entra ID, SailPoint, and ForgeRock platforms
• Configure and optimize identity federation protocols including SAML, OAuth 2.0, and OpenID Connect
• Develop technical specifications and integration documentation for marketing application onboarding

Security & Compliance

• Adhere to established security best practices and standards in all IAM implementations
• Ensure least privilege access principles are consistently applied across all user provisioning and access management activities
• Conduct regular access reviews and implement role-based access control (RBAC) frameworks
• Maintain compliance with industry security standards and regulatory requirements

User Migration & Onboarding

• Plan and execute comprehensive migration strategies for transitioning users to new authentication and authorization systems
• Develop and implement user onboarding processes that ensure smooth adoption of new IAM technologies
• Create detailed migration timelines, risk assessments, and rollback procedures
• Coordinate user training and communication during migration phases

Operations & Troubleshooting

• Audit IAM systems and processes to identify security gaps and operational inefficiencies
• Troubleshoot and resolve complex issues related to user onboarding, migration, and daily IAM operations within defined SLA timeframes
• Perform root cause analysis and implement preventive measures for recurring issues
• Monitor system performance and user access patterns to optimize IAM infrastructure

Required Qualifications

Technical Skills

• 3+ years of hands-on experience with identity and access management platforms, specifically:
• Azure Active Directory/Entra ID administration and configuration
• SailPoint IdentityIQ or IdentityNow implementation and management
• ForgeRock Identity Platform (AM, IDM, DS) deployment and operations
• Strong understanding of SSO protocols (SAML 2.0, OAuth 2.0, OpenID Connect, LDAP)
• Experience with identity governance and administration (IGA) processes
• Proficiency in PowerShell, REST APIs, and directory services integration

Professional Experience

• Bachelor's degree in Information Technology, Computer Science, Cybersecurity, or related field
• Proven experience in enterprise-level IAM implementations and migrations
• Demonstrated ability to troubleshoot complex authentication and authorization issues
• Experience working in regulated industries with compliance requirements

Core Competencies

• Strong analytical and problem-solving skills with attention to detail
• Excellent communication skills with ability to explain technical concepts to non-technical stakeholders
• Project management experience with ability to manage multiple initiatives simultaneously
• Customer service orientation with focus on user experience optimization

Preferred Qualifications

• Relevant certifications such as:
• Microsoft Azure Identity and Access Administrator (SC-300)
• SailPoint Certified IdentityIQ Engineer
• ForgeRock Identity Management certification
• CISSP, CISM, or similar security certifications
• Experience with automation tools and scripting languages (Python, JavaScript, etc.)
• Knowledge of privileged access management (PAM) solutions
• Familiarity with automotive industry security standards and practices
• Experience with Agile/Scrum methodologies

About You:

We are seeking a Senior Software Engineer with strong experience in DO-178C flight software development and avionics integration. In this role, you will design and implement safety-critical autonomous flight software, integrate it with avionics hardware platforms, and contribute to certification-ready development processes.

Responsibilities:

• Develop, integrate, and verify flight-critical software using C/C++ following DO-178C processes.
• Build application-level flight software and ensure robust integration with underlying avionics hardware interfaces
• Create, maintain and review software requirements, code and certification artifacts adhering to certification plans and standards
• Troubleshoot integration issues on test benches and aircraft
• Develop automated workflows for software integration and build processes.
• Collaborate with engineers from cross functional groups such as systems, safety, hardware, flight controls and test to ensure product and program level needs are met.
• Contribute to planning and execution of SOI audits and certification reviews.
• Create and maintain comprehensive documentation for software requirements, architecture, build processes and design decisions
• Support hardware-in-the-loop (HIL), processor-in-the-loop (PIL), and flight testing activities.

Qualifications:

• Bachelor’s or Master’s in Computer Science, Electrical Engineering, Aerospace, or related field.
• 3-5 years of embedded or flight software development experience within a DO-178C environment.
• Strong proficiency in C/C++ for embedded, real-time, safety-critical systems.
• Understanding of avionics protocols and architectures (ARINC 429, ARINC 653, CAN, MIL-STD-1553, Ethernet).
• Experience designing and implementing software for real-time operating systems (RTOS), with strong knowledge of low level topics such as device driver development, interrupt handling, memory management, and performance estimation.
• Strong experience with requirements management, including authoring high-quality software requirements, maintaining traceability, and using tools such as DOORS, Jama, or Polarion.
• Experience with hardware/software integration, debugging on target hardware, and use of analysis tools (logic analyzers, bus analyzers).
• Experience with Python scripting, tool automation and test automation
• Experience with CI/CD environments and automated code quality checks.

Nice To Have

• Background integrating software across diverse avionics platforms or multicore systems.
• Familiarity with flight controls, autonomy, GNC, or aircraft certification efforts.
• Exposure to MathWorks tools and Model-Based Development workflows (DO-331).
• Prior involvement in SOI audits or FAA/EASA certification programs.

Senior Developer, AI Evaluation & Cloud Infrastructure | Just Horizons Alliance

Join us to build the technical foundation for AI accountability.

The Role

Just Horizons Alliance is an 18-year-old applied research lab focused on ethics and technology. Our current focus is the AI Ethics Index, a measurement framework for evaluating AI systems on ethics, safety, and societal impact.

We need a senior engineer to own the technical infrastructure end-to-end: learn what exists, close critical gaps, and build something that lasts.

The evaluation methodology is validated and in use. We're now at the stage where the systems need to mature alongside the research. This is the first dedicated infrastructure hire for this work, and you'll shape how it scales.

What You’ll Do

Months 1–3: Learn the System

Map the current architecture with Sophia Zitman (AIEI Team Lead). Understand the evaluation methodology, the data flows, and the infrastructure that supports them. Identify what needs to evolve for multi-domain benchmarking—reproducibility, security posture, test coverage, deployment pipeline. Begin implementing the highest-priority improvements.

Months 4–6: Build for Scale

Architect the infrastructure to support the next phase of the Index. CI/CD that maintains stability as the system grows. IAM and secret management built for a production environment. Experiment tracking that makes every evaluation run auditable. Documentation that enables the research team to work independently.

Months 7–12: Expand

Multi-domain benchmarking across education, healthcare, finance, and other sectors. Reproducibility standards that meet external scientific scrutiny. A system the research team can extend without engineering support for every change. At this point, the infrastructure should be stable enough that you're focused on capability, not maintenance.

Why This Role Is Difficult

This is infrastructure for a scientific standard, not a product feature.

Correctness and delivery both matter. A bug in the evaluation engine doesn't break a feature, instead it invalidates a measurement. A flawed pipeline doesn't slow things down, it compromises the credibility of the research. At the same time, methodology that never runs in production has no impact. The role requires both rigor and momentum.

You're translating between disciplines. Your stakeholders are researchers, ethicists, and governance specialists. You'll need to take concepts like "operationalizing an ethical construct" and turn them into data models and pipelines. This is a translation problem as much as an engineering problem.

The work is novel. There's no existing system to reference. The AI Ethics Index is defining what rigorous AI evaluation looks like. You'll be making architectural decisions in areas where best practices don't yet exist.

You'll have full ownership. This is not a role where you're executing someone else's technical vision. You're setting the direction. That means autonomy, but it also means accountability.

You're probably the right person if

You've built evaluation systems or data pipelines that other people depended on for correctness, not just uptime

You're comfortable with GCP and have deployed containerized workloads in a real production context

You've worked with LLM APIs and understand their reliability and reproducibility characteristics

You can read a paper about measurement methodology and turn it into a working data structure

You build for durability. Your code is still running 18 months later because you thought about the next person

You've worked somewhere between 5 and 50 people and you're comfortable being the person who figures things out without a playbook

You find working on AI ethics infrastructure more interesting than building another e-commerce checkout flow

You're probably not the right fit if

Enterprise environments make up most of your experience. This is not a large-team context

You need clearly defined requirements before you can start. The requirements here evolve through conversation with ethicists

You're based on the West Coast US or expect West Coast US working hours

You mainly build user-facing APIs and features — this is systems and infrastructure work

You're looking for a high-growth startup where shipping speed is everything. This is a scientific organization. Correctness is everything.

Hard Skills

These are the technical capabilities you need going in — or need to be able to build up fast using an AI coding agent. We're not looking for someone who ticks every box. We're looking for someone who closes gaps quickly and knows how to learn.

• Python — strong enough to design systems architecture and reason about failure modes, even if you work with AI assistance for implementation details
• Google Cloud Platform — specifically Cloud Run, IAM design, secret management, and containerized workload deployment in a real production context
• API and model documentation — able to read, write, and navigate API specs and model documentation fluently; you know how to figure out how a system behaves from its documentation without needing someone to walk you through it
• Structured step-by-step reasoning — when you hit a complex problem, you decompose it immediately and visibly into logical steps; you don't disappear into your head and come back with an answer, you think out loud and in sequence, which makes collaboration with the ethics and research team possible
• LLM API integration — understanding the reliability, reproducibility, and failure characteristics of external model endpoints
• Data pipeline architecture — building evaluation or measurement systems where correctness is non-negotiable, not just data-moving
• Experiment tracking and reproducibility standards — always looking to improve the evaluation pipeline; you understand what needs to be tracked, why reproducibility matters scientifically, and you find the right approach for the context without being dogmatic about tooling
• Statistical reliability concepts — enough to understand what inter-rater reliability means for evaluation output and why reproducibility matters scientifically

What you get

The role: You'll work directly with Sophia Zitman (AIEI Team Lead) as the technical backbone of the AI Ethics Index. Full engineering ownership of the evaluation engine.

The comp: Base salary $110,000.

The team: Small, split between ethicists and engineers. You will interview with Janet Kang (Executive Director) and Sophia Zitman (AIEI Team Lead).

The environment: Boston-based non-profit (501(c)(3)). East Coast US or Western Europe time zones. Collaborative but autonomous — Sophia won't micromanage, but she will hold you to a high standard of systems thinking.

The upside: You'll have built the technical foundation of what may become the globally referenced standard for AI system evaluation. That's a meaningful line on any CV — and a genuinely hard thing to have done.

DataStaff, Inc. is currently seeking a Configuration Manager for a long-term contract opportunity with one of our direct clients in the Richmond, VA area.

*This position is hybrid; 3 days per week on-site

Job Description:

Our client is seeking a highly skilled Configuration Manager with ITIL certification to join our IT Service Management team. The Configuration Manager is responsible for establishing, governing, and continuously improving the Configuration Management process within the ITSM framework. This role ensures accuracy, integrity, and traceability of Configuration Items (CIs), enabling effective incident, change, problem, and asset management. The Configuration Manager maintains the CMDB (Configuration Management Database), enforces process compliance, and partners with technical teams to ensure reliable delivery service.

This role is critical in ensuring that our configuration management processes are thorough, efficient, and aligned with ITIL best practices. This role will be responsible for collaborating across functional areas to maintain the integrity of our Configuration Management Database (CMDB), supporting change management, and driving continuous improvement across IT services. An ideal candidate will have extensive experience integrating and managing Azure resources within a third party CMDB.

Responsibilities

• Develop, implement, and maintain configuration management policies and processes in line with ITIL standards and Commonwealth of Virginia (COV) policy.
• Own and manage the CMDB, ensuring accuracy, completeness, and compliance.
• Collaborate with Change, Incident, and FinOps teams to ensure seamless service delivery.
• Define and enforce policies for configuration item (CI) identification, control, and reporting.
• Work closely with Infrastructure, Network, Security, and Application teams to gather and maintain CI information.
• Monitor and audit configuration data to ensure quality and reliability.
• Establish and track KPIs/metrics for Configuration Management maturity and CMDB health.
• Provide leadership and guidance to IT teams on configuration management best practices.
• Support IT governance, risk, and compliance initiatives.

Knowledge and Experience:

• ITIL Foundation certification (Intermediate or Expert level preferred).
• Proven experience in Configuration Management within an ITIL environment.
• Proven experience in Configuration Management within an Azure environment.
• Strong knowledge of Ivanti Neurons for ITSM
• Strong understanding of ITIL v3/v4 processes—especially Configuration, Change, Incident, and Problem Management.
• Hands-on experience with a CMDB tool- Ivanti Neurons for ITSM including CI class modeling and discovery tools.
• Excellent analytical, problem-solving, and documentation skills.
• Ability to work collaboratively across technical and business teams.
• Strong communication and stakeholder management skills.
• Experience with automation tools for configuration management.
• Familiarity with cloud environments (Azure, AWS, GCP).
• Knowledge of automation, discovery tooling, and scripting (e.g., PowerShell, Python).
• Familiarity with audit and compliance frameworks
• Knowledge of COV policies and standards.

Required Skills:

• 8 Years - Experience designing and implementing Configuration Management policies, systems, and monitoring programs for enterprise environments.
• 8 Years - Familiarity with implementing a CMDB with a specific emphasis on integrating Azure resources to support Change and FinOps activities.
• 2 Years - Strong knowledge of Ivanti Neurons for ITSM CMDB capabilities
• ITIL Foundation Certification

Desired Skills:

• ITIL intermediate/expert level certification
• Knowledge of COV policies and standards

This position is available on a corp to corp basis or as a W2 position with a competitive benefits package. DataStaff offers medical, dental, and vision coverage options as well as paid vacation, sick, and holiday leave. As many of our opportunities are long-term, we also have a 401k program available for employees after 6 months.