Colab Python Version Jobs Hiring Now Jobs in Usa

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

About tvScientific

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

As a key member of our Data Science team, you'll be responsible for turning data into actionable insights, driving business decisions, and owning analytics projects from inception to completion. Day to day, your role will involve developing customized reporting and analytics tools to meet the unique needs of our clients.

What you'll do:

• 
  
• Write production code in Python.
  
• Design, launch, and analyze experiments to optimize ad campaigns.
  
• Create reporting and analytics tools for the Data Science Team's customers.
  
• Translate insights from reporting tools into tvScientific's Data Science Product.
  
  

What we're looking for:

• 
  
• Ability to write and review production-level code in Python.
  
• Strong statistics and ML fundamentals.
  
• Desire to work in a fast-growing environment-comfortable with ambiguity, ownership, scaling new products, and an experimental, iterative development process.
  
• Experience defining and measuring the utility of new reporting and analytics tools.
  
• Ability to quickly translate between DS Analytics & DS Product team.
  
• Strong track record of providing high-quality service to the DS team's customers/stakeholders.
  
• Adtech or CTV experience.
  
• Teaching experience is a plus.
  
• Big data experience with Scala, Apache Spark, Apache Beam, and AWS Athena is a plus.
  

In-Office Requirement Statement:

• 
  
• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit ourPinFlexpage to learn more about our working model.
  

#LI-SM4

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

• 
  
• Establish and maintain effective working relationships with peers associated with system integration of BSP and Multimedia environment.
  
• Work on toolchain and system integration of RTOS functionalities.
  
• Communicate with source and consumer environment stakeholders to ensure seamless integration between various environments during design, development, testing and deployment phases.
  
• Work with team leads and project leads to provide support and contribution in preparing critical customer User Acceptance scenarios.
  
• Assist in deploying and migrating project artifacts within the production environment and customer development sites.
  
• Maintain and monitor jobs and programs in production as well as provide issue resolution for any production failures. Assist and provide guidance to resolve system-related issues.
  
• Develop, modify and debug automation programs with CI/CD environments
  
• Develop and deploy tools and technologies to optimize the build times for faster deployment.
  

• 
  
• 2+ years of academic or work experience with Programming Language Python, etc.
  
• 5+ years of experience developing tools using Python that is used smart integration and release of software to external developers
  
• Experience with software configuration management tools (e.g., Git/Gerrit), integration, build environments, and debug aids (e.g., Trace 32).
  
• Experience with Linux Bash Shell
  
• Excellent Communication skills and self-starter.
  
• 5+ years of experience with makefiles, bitbake using C/C++ on Yocto Linux, Android, and RTOSs on ARM-based platforms (QNX).
  

• 
  
• Bachelor's Degree in Engineering, Information Systems, Computer Science or related field and 2+ years of Software Engineering or related work experience OR Master's Degree in Engineering, Information Systems, Computer Science or related field and 1+ year of Software Engineering or related work experience OR PhD in Engineering, Information Systems, Computer Science or related field
  

Business Area:

Seniority Level:

Job Description:

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises.

The Data Platform Pillar is the bedrock of Cloudera's technology, where we design and build the core components that let our customers store, manage, and process data with unmatched scalability, security, and performance.

As a Staff Software Engineer, Airflow, you will be a key technical leader, responsible for the architecture, technical vision, and strategic evolution of the Apache Airflow-based workflow orchestration platform within the company's data ecosystem. You will be expected to solve the most complex, ambiguous, and high-impact technical problems that span multiple teams or organizational boundaries.

As a Staff Software Engineer you will:

• Technical & Architectural Leadership: Drive the multi-quarter technical roadmap and architecture for the Airflow platform, ensuring it is secure, highly scalable, reliable, and cost-efficient for enterprise-grade workloads.

• Complex Problem Solving: Design and implement solutions for the most challenging technical issues, such as extreme scale, multi-tenancy isolation, complex scheduling, and hybrid/multi-cloud deployment models.

• Cross-Functional Impact: Collaborate closely with product management, principal engineers, and other platform teams (e.g., Spark, Kubernetes) to define and deliver core orchestration capabilities that influence the entire data platform.

• Engineering Excellence: Define and champion best practices, performance optimization, and quality standards (observability, testing, and fault tolerance) for the Airflow service and its integrations.

• Mentorship: Mentor senior and junior engineers on complex technical design, best practices, and execution, elevating the overall technical capacity of the team and organization.

• Open Source: Maintain significant contributions and influence within the Apache Airflow open-source community, aligning the project's roadmap with product strategy.

We are excited if you have (Required Qualifications):

• Bachelor's degree in Computer Science or equivalent, and 6+ years of experience

• Deep Airflow Expertise: Deep, hands-on knowledge of Apache Airflow internals (scheduler, executor, serialization, REST APIs) and complex DAG authoring/optimization.

• Programming: Mastery in Python, some Java experience and extensive experience with core data platform technologies and cloud-native deployments (e.g., Kubernetes, Cloud Composer, AWS/GCP/Azure).

• Systems Thinking: Demonstrated ability to drive design and architectural decisions with a focus on non-functional requirements (security, performance, high availability, fault tolerance).

• Leadership: Proven ability to lead and drive technical projects across multiple teams without direct reporting authority.

You may also have:

• Experience defining the architecture for multi-tenant, service-oriented data platforms.

• Significant contributions to Apache Airflow or related open-source projects.

• Background in performance tuning and profiling large-scale Python and distributed applications.

• Familiarity with data governance and security frameworks (e.g., Ranger, Kerberos) and their integration with workflow orchestration.

Why this role matters:

You will tackle complex distributed systems challenges, crafting the foundational software for the control and data planes that powers CDP and keeps it running at massive scale. Working at the forefront of hybrid and multi-cloud technology, you will empower data scientists, engineers, and analysts with the tools and infrastructure they need for advanced analytics and modeling.

Collaboration is key, you will work alongside brilliant minds across product, data science, and engineering to drive innovation, standardize best practices, and shape the future of enterprise AI and data platforms. This is your chance to build the future of data and see your work make a global impact.

This role is not eligible for immigration sponsorship.

What you can expect from us:

• Generous PTO Policy

• Support work life balance with Unplugged Days

• Flexible WFH Policy

• Mental & Physical Wellness programs

• Phone and Internet Reimbursement program

• Access to Continued Career Development

• Comprehensive Benefits and Competitive Packages

• Paid Volunteer Time

• Employee Resource Groups

EEO/VEVRAA

#LI-BV1

#LI-REMOTE

Open date: February 24, 2026

Next review date: Wednesday, Mar 11, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Friday, Mar 27, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

This postdoctoral opportunity brings together faculty from UC Berkeley's School of Education (BSE); the College of Computing, Data Science, and Society (CDSS); and the Social Science D-Lab to support one (1) postdoctoral scholar as they study the teaching and learning of Data Science. Scholars will apprentice with multiple projects to develop and contribute expertise and scholarship in ethical data science teaching and learning across precollege, 2-year college, and 4-year university contexts. A major goal is to prepare scholars who are conversant across sectors, in order to help create coherent and supportive data science learning trajectories for all students.

We seek applicants with complementary relevant skill-sets and training in data science and education. This includes applicants with different educational backgrounds (e.g. research, regional, or liberal arts colleges; technical and community colleges), methodologies (e.g. qualitative and quantitative approaches to social sciences research), and experiences related to teaching or educational research (e.g. tutoring, teaching, curriculum development). We hope scholars will all share commitments to contributing high-quality, ethical Data Science Education teaching, curriculum, and scholarship. Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this positon.

The program will prepare postdoctoral scholars for a variety of careers such as entering Discipline-Based Education Research or the Scholarship of Teaching and Learning of Data Science as research or teaching faculty at a range of colleges and universities; working for non-academic organizations that design, develop, and study curricula, resources, and teacher learning for Data Science Education; or working with school districts or university systems to support student readiness, success, interest/confidence and career awareness in data science.

Duties of Position:

Year 1: Researchers will work with specialists among the faculty in Computer Science, Data-Intensive Social Science, Education, and Statistics in research rotations across departments; attend monthly workshops designed to develop the knowledge base required to conduct consequential research in this field; and become integral members of a growing community of practice at UC Berkeley and across the SF Bay Area.

Year 2: Researchers will engage with a year-long apprenticeship with a faculty mentor and will develop an independent project within the context of one of the many educational initiatives led by project personnel. Fellows will have the opportunity to teach workshops in Python/Jupyter, social science methodology, data literacy pedagogies, or data science curriculum development, and they may also teach undergraduate courses in Data Science/Statistics or STEM teacher preparation, no more than one course per year in the lecturer title. They will present their independent work at campus colloquia and will engage the broader Data Science Education field through scholarly conferences, technical workshops, and UC Berkeley's annual Data Science Education convening.

Department:

Doctoral degree (or equivalent international degree), or enrolled in a Doctoral or equivalent international degree program at the time of application.

Doctoral degree (or equivalent international degree). No more than three years of post-degree research experience by start date.

*Knowledge of Python, Jupyter, R/RStudio, and/or other common statistical computing tools and languages.

*Teaching or tutoring experience at K-12, community college, and/or university levels.

*Experience with a variety of educational institutions (e.g. regional, or liberal arts colleges; 2-year colleges; high schools; informal learning environments).

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Letter of interest - One page long, detailing professional goals and aspirations for research given what they know of the opportunity

  
  

• 2 required (contact information only)

References will only be contacted for those candidates under serious consideration. Letters of support should speak to the candidate's strengths with respect to both disciplinary experience (e.g. in Data Science, Computer Science, Statistics, and/or related fields) and experience in educational research and/or practice (e.g., as a tutor, curriculum developer, or related to academic studies in Education, Learning Sciences, Cognitive Science, Educational Psychology, or related fields).

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Senior Manager, Journey Optimization

Mason, OH, United States

Full time Schedule

$76,200 - $127,000 Annually*

* based on job, location, and schedule

Be part of an amazing story.

Macy’s is more than just a store. We’re a story. One that’s captured the hearts and minds of America for more than 160 years. A story about innovations and traditions…about inspiring stores and irresistible products…about the excitement of the Macy’s 4th of July Fireworks, and the wonder of the Thanksgiving Day Parade. We’ve been part of memorable moments and milestones for countless customers and colleagues. Those stories are part of what makes this such a special place to work.

Job Overview

The Senior Manager, Journey Optimization Analytics delivers analytical insights into emerging customer experience trends, process improvements, and contact center optimization opportunities. The role leads operational analytics, customer experience analytics, and exploratory optimization initiatives to drive measurable impact. The Senior Manager supports enterprise-wide strategic initiatives and collaborates cross-functionally to achieve business objectives.

The Senior Manager, Journey Optimization Analytics brings advanced analytics expertise, ideally within a retail or financial services contact center environment. The role demonstrates a proven track record of developing and implementing strategies that drive financial value, improve customer experience, or both.

What You Will Do

• Apply advanced analytical techniques—including exploratory, diagnostic, and predictive methods—to identify the key drivers of customer behavior and operational performance.
• Translate complex data into clear, compelling insight narratives that influence decision-making across the organization.
• Lead multiple concurrent analytical workstreams, delivering high-impact insights on time in a fast-paced environment.
• Build and maintain strong relationships with internal stakeholders, external partners, and vendors to support the execution of MCCS strategies and initiatives.
• Leverage technology and analytics tools to streamline processes, improve operational efficiency, and enhance the quality and speed of insight delivery.
• Identify and champion improvements to analytical processes, tools, and data infrastructure to increase team effectiveness and business impact.
• Foster an environment of acceptance and respect that strengthens relationships, and ensures authentic connections with colleagues, customers, and communities.
• In addition to the essential duties mentioned above, other duties may be assigned.

Skills You Will Need

Advanced Analytics & Modeling: Demonstrated expertise in exploratory, diagnostic, and predictive analytics to identify drivers of customer behavior and operational performance, with the ability to translate complex analyses into measurable business impact.

End-to-End Data Management: Strong capability to source, prepare, and transform raw data; design efficient data schemas; and develop robust analytical workflows that move seamlessly from data extraction to executive-ready insights.

Strategic Thinking & Business Acumen: Proven ability to align analytical insights to enterprise strategy, identify financial and customer experience opportunities, and develop data-driven recommendations that advance organizational objectives.

Customer Experience & Contact Center Optimization: Deep understanding of customer behavior and contact center operations, with the ability to uncover trends, improve processes, and drive optimization initiatives that enhance service delivery and financial outcomes.

Insight Communication & Executive Storytelling: Exceptional ability to translate complex data into clear, concise, and compelling narratives that influence stakeholders and senior leaders across the organization.

Cross-Functional Collaboration & Influence: Demonstrated success partnering with cross-functional teams, external partners, and vendors; building strong relationships; and influencing decision-making without direct authority.

Workflow Prioritization & Delivery Management: Strong ability to manage multiple concurrent analytical workstreams, prioritize effectively in a fast-paced environment, and deliver high-quality insights with speed, accuracy, and urgency.

Technical Proficiency: Advanced SQL skills required, with preferred proficiency in R or Python; strong familiarity with analytics tools and technologies that support scalable data analysis and operational efficiency.

Who You Are

• Candidates with a bachelor’s degree or equivalent work experience in a related field are encouraged to apply. 3-plus years of relevant experience required.
• Advanced SQL skills with preferred proficiency in R or Python; strong familiarity with analytics tools and technologies that support scalable data analysis and operational efficiency.
• Regularly required to sit, talk, hear; use hands/fingers to touch, handle, and feel. Occasionally required to move about the workplace and reach with hands and arms. Requires close vision.
• Able to work a flexible schedule based on department and company needs.

What We Can Offer You

Join a team where work is as rewarding as it is fun! We offer a dynamic, inclusive environment with competitive pay and benefits. Enjoy comprehensive health and wellness coverage and a 401(k) match to invest in your future. Prioritize your well-being with paid time off and eight paid holidays. Grow your career with continuous learning and leadership development. Plus, build community by joining one of our Colleague Resource Groups and make a difference through our volunteer opportunities.

Some additional benefits we offer include:

• Merchandise discounts
• Performance-based incentives
• Annual merit review
• Employee Assistance Program with mental health counseling and legal/financial advice
• Tuition reimbursement

Access the full menu of benefits offerings here.

About Us

This is a great time to join Macy’s! Whether you’re helping a customer find the perfect gift, streamlining operations in one of our distribution centers, enhancing our online shopping experience, buying in-style and on-trend merchandise to outfit our customers, or designing a balloon for the Thanksgiving Day Parade, we offer unique opportunities to be part of some of the most memorable moments in people’s lives.

Join us and help write the next chapter in our story - apply today!

This job description is not all-inclusive. Macy's, Inc. reserves the right to amend this job description at any time. Macy's, Inc. is an Equal Opportunity Employer, committed to a diverse and inclusive work environment.

The Manager - Data Science and Analytics plays a critical role in revenue and margin management for the Merchandising organization by performing various pricing analyses to exceed the financial targets. This highly visible individual will manage the daily and weekly promotions for print and digital marketing vehicles, so to be successful, strong analytical skills and business savviness is vital. This Team Member will develop and use analytics tools to draw insights and provides actionable recommendations while exhibiting higher-order critical thinking under ambiguous situations.

Major Activities

• Machine Learning Forecasting: Maintain, regularly run, and potentially adjust time-series forecasting pipelines with backtesting, accuracy diagnostics, drift detection, and ongoing monitoring.
• Pricing optimization: Maintain, regularly run and potentially adjust pricing/markdown optimization engines (e.g., Gurobi, CP-SAT), including feasibility checks, constraint adjustments, relaxations, and scenario analysis.
• Mathematical modeling: Translate new business rules (e.g., new constraints for pricing) into robust mathematical formulations.
• Production engineering: Maintain a modular codebase across forecasting, optimization, and data workflows; keep ensure code quality, test coverage, and documentation. Maintain overrides to handle data quality issues.
• Reporting & impact measurement: Own reporting for the pricing engine, turn recommendations into stakeholder-ready insights and quantify business impact.
• Cross-functional collaboration: Partner with Merchants and Pricing Advisory to translate business needs into features for retail pricing algorithm
• Develop and implement user-friendly analytics dashboards and tools that perform complex analysis manipulating large data sets to identify actionable business insights
• Initiate, partner with internal teams on process improvement initiatives
• Ad-hoc projects as identified by the supervisor

Other duties as assigned

Preferred Education/Experience

• Bachelor’s Degree or equivalent experience required.
• Advanced MS Excel required.
• Proficiency in forecasting and machine learning: Ability to build and deploy time-series forecasting models including feature engineering and robust backtesting & monitoring.
• Data manipulation and analysis: Strong ability to work with large datasets using Python (pandas/NumPy) and SQL, performing clean feature creation and diagnostic analysis.
• Data Engineering: Previous experience building DBT ETLs on cloud-based warehouses like BigQuery and working in Vertex AI.
• Problem-solving ability: Strong analytical skills to decompose complex business problems, balance solution quality vs runtime, and implement pragmatic fallbacks.
• Master’s degree in economics, data analytics, or math related field preferred

Minimum Type of Experience Required

• 7+ years of relevant work experience

Other

• SQL and Python required, Tableau or Power BI is preferred

Applicants in the U.S. must satisfy federal, state, and local legal requirements of the job.

This role supports teams by developing and maintaining financial and operational reports, dashboards, and analytics. The position ensures accurate budget tracking, performance monitoring, and executive reporting to support reliability, compliance, and strategic decision-making.

Key Responsibilities

• Develop and maintain financial and program performance reports and dashboards.

• Track budgets, forecasts, and expenditures for vegetation and infrastructure programs.

• Perform variance and trend analysis.

• Extract, validate, and reconcile data from enterprise systems.

• Utilize SAP, Power BI, Databricks, SQL, and Python to support reporting and analytics.

• Support management, regulatory, and audit reporting.

• Automate and improve reporting processes.

• Provide ad hoc analysis for leadership and business partners.

Required Qualifications

• Bachelor’s degree in finance, Business Analytics, Information Systems, or related field.

• 3+ years of experience in financial analysis or reporting.

• Advanced Excel skills.

• Experience using SAP, Power BI, Databricks, SQL, and Python.

• Strong analytical, organizational, and communication skills

Preferred Qualifications

• Utility or regulated industry experience.

• Experience supporting large operational or capital programs.

Tangram Flex is seeking a Software Technical Leader with 8+ years of experience to contribute to the design, development, and delivery of Tangram’s transformative and impactful technology to implement mission-critical software solutions. This role is a blend of high-level technical architecture and direct contributions to customer program success, requiring a leader who can guide engineering teams through the entire engineering process from program kickoff to final delivery and customer success.

What We Do: Our team and products provide solutions to enable innovators to design, develop, verify, and advance critical systems, while accelerating innovation that advances our nation's security. By accelerating delivery of critical systems, Tangram is transforming the way our nation solves complex software challenges.

POSITION DESCRIPTION/

The Software Tech Lead provides strategic and tactical technical leadership for software product design and hardware-software integration programs. You will be responsible for defining the technical vision of a program, ensuring it aligns with customer goals, and to manage and contribute to the day-to-day engineering execution to deliver performant, secure software solutions for Tangram’s customers.

JOB RESPONSIBILITIES/

Program Strategy & Kickoff:

• Technical Architecture and Strategy: Collaborate with our customers and Engineering Leadership to identify technical strategies, customer and team goals, and define deliverables to meet or exceed expectations.
• Program Kickoff and Internal Alignment: Collaborate with Program Managers (PMs) and Engineering Leadership to develop and present technical approach slides for Internal Kickoffs, communicating milestones, technical tasks, and skillsets needed to internal stakeholders and executive leadership.
• Resource Allocation: Identify necessary skillsets and time investments required to achieve program goals, working with the Director of Engineering to ensure proper team staffing.

Technical Leadership & Execution:

• Engineering Oversight: Manage a team of software developers as well as directly contribute to design, write, and test code in relevant languages (ex. C, C++, Java, Python) while maintaining high standards for code reviews and merge requests.
• Testing and Verification Leadership: Oversee the team's testing and verification strategy, including defining and enforcing quality gates, ensuring comprehensive unit, integration, and system testing, and validating that all delivered software meets the highest standards for performance, security, and customer-defined requirements.
• Technical Project Tracking: Lead the breakdown of technical work into manageable Epics, Milestones, and Issues, ensuring progress is delivered successfully.
• Mentorship: Innovate and mentor a team of engineers, leading them on top of tech trends (e.g., DevSecOps for embedded) and fostering a culture of continuous learning.

Customer Engagement & Growth:

• Technical Partner: Act as the Subject Matter Expert (SME) point of contact for customers in articulating technical requirements, outlining technical expectations, and leading high-stakes customer demonstrations.
• Tangram Solutions Alignment: Identify opportunities to utilize Tangram products in conjunction with new and existing technology to create solutions for our customers
• Business Expansion: Provide technical feasibility inputs to the Growth team and Portfolio Managers to shape follow-on opportunities, develop technical proposals, and contribute to the "Future Phase" strategy for customer relationships.

DESIRED SKILLS & EXPERIENCE

Required Skills:

• Education: BS in Computer Engineering, Computer Science, or Electrical Engineering or equivalent.
• Experience: 8-10+ years in software product development with a strong focus on embedded systems and software integration.
• Leadership: Proven experience in a technical leadership role (e.g., Tech Lead, Chief Engineer, or Principal Investigator) managing full-lifecycle delivery to programs.
• Technical Mastery: High-level C/C++ skills, proficient in software architecture design, ability to resolve ambiguities of requirements, deliverables, and presentation approach
• Clearance: Current/recent U.S. Government Security Clearance (or ability to obtain one). U.S. Citizenship is required.
• Communication: Strong skills in communicating technical concepts with technical and semi-technical audiences

Preferred Skills:

• MS/PhD in Computer Engineering or related field.
• Expertise in Python, Rust, or Java.
• Experience with GitLab CI/CD and agile-based project tracking .
• Technical experience working in support of the Department of Defense/Department of War or the Defense Industrial Base.

Physical Requirements:

• Ability to travel to client sites, conferences, and lab environments.
• Visual and auditory acuity to participate in meetings and customer demonstrations.
• Ability to handle and transport demo equipment (up to 25 lbs).

WHY JOIN TANGRAM FLEX?

• Team First Culture: Supportive environment headquartered in Dayton, Ohio with hybrid work options and flexible hours.
• Growth-Oriented: Opportunities for internal and external technology community participation and leadership.
• Full Benefits: Employer-paid Medical/Dental/Vision, generous PTO, and competitive 401K match.

Tangram Flex is an Equal Opportunity Employer, and provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in its application procedures and in accordance with federal law. All qualified candidates will receive consideration for employment based on business needs, job requirements, and individual qualifications.

EEO/AA Vet/Disabled Employer/ and E-Verify

Optomi, in partnership with a leading logistics company is seeking a Senior Full Stack Java Developer (Java / Kafka / Spring Boot / AWS) to support and modernize critical systems within the Mechanical organization. This team maintains locomotives, railcars, and detector systems that capture millions of operational and safety data points across the network.

About the Position: The role focuses on refactoring legacy microservices, scaling event-driven architectures, re-platforming rules engines, and building cloud-native, resilient, high-volume IoT data pipelines. This is a high-impact engineering role where your work directly influences safety, reliability, and operational efficiency across one of the largest transport networks in the US.

Apply Today if your Background Includes:

• 6+ years of Full Stack experience with a backend emphasis in Java Spring Boot development.
• Strong event-driven architecture + Kafka experience
• Proven experience modernizing legacy microservices & distributed systems
• AWS Cloud experience
• Hands-on Python experience for backend/data workflows
• DevSecOps mindset: automated testing, CI/CD, secure coding
• Experience supporting both greenfield and legacy systems
• Strong relational DB experience (Postgres preferred)
• Experience handling IoT or high-volume sensor data pipelines
• Familiarity with open-source tooling and cloud-agnostic architectures
• Ability to mentor junior engineers and provide technical leadership

What the Right Professional Will Enjoy!

• Fully remote work opportunity with up to 20% travel.
• Opportunity to work with a fast-growing team focused on modernization, cloud adoption, and automation.
• Direct impact on safety, rail operations, and national freight logistics.
• Work on high-volume IoT, event-driven architectures, cloud-native systems.
• Exposure to AI/GenAI, automation, and open-source tooling
• Leadership opportunities with junior developers

Responsibilities:

• Modernize legacy microservices and distributed systems supporting mechanical operations and detector networks.
• Design and implement backend services using Java, Spring Boot, event-driven patterns, and Kafka.
• Scale and optimize high-volume IoT data pipelines (30M+ incoming data points from sensors/detectors).
• Lead architecture, design, and deployment efforts for new and existing services.
• Refactor and support large rules-engine frameworks (600+ rulesets).
• Contribute to cloud-native development (AWS preferred; Azure acceptable; cloud agnostic mindset encouraged).
• Use Python for backend workflows, automation, and data processing tasks.
• Build automated CI/CD and testing frameworks following DevSecOps best practices.
• Work with Postgres and relational databases to tune, model, and integrate data.
• Mentor junior developers and support a strong engineering culture focused on speed, clarity, and automation.
• Collaborate across teams to build scalable, modern systems.
• Support both new development and the existing application footprint.