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Centraprise

Centraprise

www.centraprise.com

9 Jobs

276 Employees

About the Company

At Centraprise, we foster a collaborative approach in delivering top-quality IT consulting and services to our clients. With a steadfast commitment to growth and innovation, we aspire to inspire the industry of tomorrow by providing cutting-edge solutions that drive productivity and quality.

Listed Jobs

Company background Company brand
Company Name
Centraprise
Job Title
Senior Python Developer
Job Description
Job title: Senior Python Developer Role Summary: Lead design, development, and deployment of robust Python-based microservices and APIs (FastAPI, Django, Flask) for production environments, ensuring scalability, reliability, security, and observability. Expactations: • 10+ years of professional Python engineering experience. • Strong architectural leadership in distributed, event‑driven systems. • Proven ability to mentor teams and drive cross‑functional initiatives. Key Responsibilities: • Architect and implement high‑availability services with async I/O, caching, and fault‑tolerance techniques. • Model database schemas and write efficient SQL; interact with Postgres/MySQL and Redis. • Optimize performance through profiling, back‑pressure, circuit breakers, retries, and idempotency patterns. • Enforce security best practices (authN/Z, secrets management, secure coding, SCA) and data protection. • Conduct code reviews, maintain automated test suites (pytest), static typing (mypy/pyright), linting, and CI/CD pipelines. • Containerize workloads and deploy to Kubernetes or Azure Functions; manage IaC with Terraform. • Implement observability via OpenTelemetry, dashboards, and alerts. Required Skills: • Advanced Python (3.x) programming, including async/await. • Deep expertise in at least one web framework: FastAPI, Django, or Flask. • Experience with microservices, event‑driven architecture, and message queues (Kafka/RabbitMQ). • Strong CS fundamentals (algorithms, data structures, concurrency). • SQL/ORM proficiency (SQLAlchemy, Django ORM); schema design. • Performance tuning, profiling, and reliability engineering. • Security implementation: OAuth2/OIDC, secrets management, threat modeling. • DevOps: containerization (Docker), Kubernetes, Azure, Terraform, CI/CD (GitHub Actions, Azure DevOps). • Testing: unit, integration, contract testing; test coverage and assertions. • Communication: articulate design decisions, lead reviews, and support cross‑team collaboration. Required Education & Certifications: • Bachelor’s degree (or higher) in Computer Science, Software Engineering, or related field. • Relevant certifications (AWS/Azure Cloud, Kubernetes, or security) preferred but not mandatory.
Chicago, United states
On site
Senior
01-12-2025
Company background Company brand
Company Name
Centraprise
Job Title
Financial Data Science / Analyst
Job Description
**Job Title** Financial Data Science / Analyst **Role Summary** Lead the development and execution of advanced analytics solutions to drive financial performance improvements. Manage a small analytics team, ensuring high‑quality, actionable insights for financial reporting, cost control, and revenue optimization. **Expactations** - 9+ years in data science, business analytics, or quantitative roles. - 7+ years of progressive experience with at least 2 years in a managerial or team‑lead capacity. - Master’s degree in Business Analytics, Data Science, or a related quantitative discipline. - Strong accounting or finance expertise; CPA license preferred. - Proven ability to deliver measurable cost savings or revenue recovery (e.g., multi‑million dollar impact). **Key Responsibilities** 1. Design, build, and maintain scalable data pipelines and ETL processes for financial data. 2. Develop predictive models and neural network solutions using Python and R to forecast revenue, cost drivers, and risk factors. 3. Perform statistical analysis, hypothesis testing, and machine‑learning modeling to uncover trends and opportunities. 4. Translate complex analytical results into clear, executive‑ready presentations and dashboards. 5. Oversee data governance, quality checks, and compliance with financial reporting standards. 6. Mentor and lead a small analytics team, fostering professional growth and ensuring project deliverables. 7. Collaborate with Finance, Operations, and IT to integrate analytics outputs into business decision‑making. **Required Skills** - Programming: Advanced Python (AI/Neural Networks, web scraping, ETL) and R (statistical modeling, machine learning). - Databases: Expert SQL (complex queries, data manipulation). - Data Visualization: Tableau, PowerBI. - Statistical & Analytical: Regression, time‑series, clustering, anomaly detection. - Business acumen: Financial reporting, cost management, revenue reconciliation. - Communication: Strong presentation and stakeholder communication skills. - Leadership: Team management, project coordination, mentorship. **Required Education & Certifications** - Master’s degree in Business Analytics, Data Science, Statistics, Finance, or a related quantitative field. - CPA license or equivalent strong accounting background (highly preferred).
Denver, United states
On site
Senior
12-12-2025
Company background Company brand
Company Name
Centraprise
Job Title
Data Scientist
Job Description
**Job Title:** Data Scientist **Role Summary:** Lead the design, development, and deployment of marketing‑focused machine learning and NLP solutions. Translate business objectives into analytical frameworks, deliver actionable insights, and mentor junior team members while ensuring models are production‑ready and aligned with key performance indicators. **Expectations:** - 7+ years of data science experience, primarily in marketing analytics. - Proven ability to build, optimize, and operationalize ML/NLP models at scale. - Strong communication skills for presenting complex results to technical and non‑technical stakeholders. - Leadership in guiding junior data scientists and collaborating with cross‑functional partners. **Key Responsibilities:** - Design and implement ML models for customer segmentation, propensity, churn, LTV, campaign response, uplift, attribution, and marketing mix. - Develop NLP applications for sentiment analysis, text classification, topic modeling, and voice‑of‑customer analytics across social media, reviews, chat, and email data. - Process and analyze structured and unstructured data from digital, CRM, social, email, and web channels. - Define KPIs, success metrics, and experimentation (A/B testing) strategies with stakeholders. - Optimize, productionize, and monitor models using MLOps best practices. - Mentor junior data scientists and provide technical leadership. - Communicate findings clearly to diverse audiences. **Required Skills:** - Advanced ML expertise (supervised & unsupervised) and statistical modeling. - Hands‑on NLP: text preprocessing, feature extraction, word embeddings (Word2Vec, GloVe, Transformers); LLM experience a plus. - Proficient in Python (NumPy, Pandas, Scikit‑learn, TensorFlow/PyTorch). - Strong SQL skills and experience with large‑scale data processing. - Solid foundation in statistics, probability, and experimental design. - Experience with cloud platforms (AWS, Azure, or GCP). - Ability to convert data insights into measurable business impact. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field (required). - Master’s degree or Ph.D. in a relevant discipline (preferred). - No specific certifications mandated; relevant industry certifications (e.g., AWS Certified Machine Learning, Google Cloud Professional Data Engineer) are advantageous.
Pleasanton, United states
On site
Senior
19-12-2025
Company background Company brand
Company Name
Centraprise
Job Title
Kubernetes Engineer
Job Description
**Job Title:** Kubernetes Engineer **Role Summary:** Design, build, and operate hybrid Kubernetes infrastructures that span on‑prem and cloud environments. Lead capacity planning, monitoring, upgrades, and automation using IaC tools, CI/CD pipelines, and configuration management. Drive best‑practice development, process standardization, and continuous improvement across the full infrastructure lifecycle. **Expectations:** - Deliver scalable, reliable Kubernetes deployments for mission‑critical applications. - Collaborate with cross‑functional teams to define and enforce infrastructure standards. - Continuously evaluate and implement enhancements to architecture, tooling, and processes. **Key Responsibilities:** - Architect and maintain hybrid on‑prem and cloud Kubernetes environments. - Perform capacity planning, performance monitoring, and upgrade management. - Automate infrastructure provisioning, configuration, and lifecycle using Terraform, Ansible, and CI/CD (Jenkins, GitHub Actions). - Define and enforce best‑practice policies for planning, building, deploying, and operating infrastructure. - Design self‑service portals, orchestration flows, and configuration management frameworks. - Assess feasibility, complexity, and scope of new capabilities and solutions. - Lead continuous improvement initiatives, including process standardization and methodology refinement. **Required Skills:** - 5–7+ years of professional experience with Kubernetes and hybrid infrastructure. - Deep knowledge of on‑prem infrastructure components (networking, storage, processing, backup/DR). - Proficiency in IaC tools: Terraform, Ansible. - CI/CD expertise with Jenkins, GitHub Actions, or similar. - Strong understanding of capacity planning, monitoring, and upgrade strategies. - Ability to develop and enforce infrastructure best practices and policies. - Excellent analytical, problem‑solving, and communication skills. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience). - Relevant certifications preferred: Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), or equivalent IaC/DevOps certifications.
Plano, United states
On site
09-01-2026