TalentAlly is a recruitment platform that connects diverse talent with inclusive employers, focusing on enhancing workplace diversity and inclusion. The company offers job postings, recruitment solutions, and organizes job fairs to facilitate employment opportunities for underrepresented groups. With a recent investment of $1.3 million in artificial intelligence, TalentAlly aims to improve job matching efficiency and expand its reach to diverse communities. Their business model includes premium job postings and partnerships with various organizations to enhance recruitment efforts.
TalentAlly is a recruitment platform that connects diverse talent with inclusive employers, focusing on enhancing workplace diversity and inclusion. The company offers job postings, recruitment solutions, and organizes job fairs to facilitate employment opportunities for underrepresented groups. With a recent investment of $1.3 million in artificial intelligence, TalentAlly aims to improve job matching efficiency and expand its reach to diverse communities. Their business model includes premium job postings and partnerships with various organizations to enhance recruitment efforts.
Software Developer - Intelligent Systems & Integrations
HybridRichmond, VA, US
Hybrid • Richmond, VA, US
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.
What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.
Position Summary
McKesson Corporation is seeking a talented Software Developer to join our Supply Chain Technology team with a strong background in microservices architecture, system integrations, DataStage, Apache Kafka, and Artificial Intelligence (AI). This role is ideal for someone with 4+ years of hands-on development experiencewho thrives in a fast-paced, innovation-driven environment.
Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.
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You will be responsible for designing and implementing scalable, intelligent systems that power modern enterprise applications and data-driven decision-making.
Key Responsibilities
Architect, develop, and maintain microservices-based applications using modern frameworks and cloud-native technologies.
Design and implement real-time data streaming solutions using Apache Kafka.
Build robust integrations between internal systems and third-party platforms using APIs, messaging queues, and middleware.
Collaborate with AI/ML teams to embed intelligent features into applications, including predictive analytics, NLP, and automation.
Develop and maintain ETL pipelines using IBM DataStage.
Write and optimize SQL and PL/SQL queries, stored procedures, and triggers in Oracle.
Ensure high performance, scalability, and reliability of distributed systems.
Participate in agile development processes, including sprint planning, code reviews, and CI/CD.
Monitor and troubleshoot production systems, ensuring uptime and responsiveness.
Minimum Qualifications
Typically requires4+ yearsof relevant experience.
Critical Skills
Strong proficiency in programming languages such as Java, JavaScript, Python, or Go.
Hands-on experience with microservices architecture and containerization (Docker, Kubernetes).
Experience with cloud platforms (GCP, Azure, AWS).
Proficient in ETL development, Oracle performance tuning, and complex SQL.
Deep understanding of Apache Kafka for event-driven and real-time data processing.
Experience implementing AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
Strong problem-solving skills and ability to work independently and in teams
Preferred Attributes
Experience in healthcare or supply chain domain.
Strong analytical and problem-solving skills.
Knowledge of API gateways, service mesh, and observability tools.
Experience with MLOps and deploying AI models in production environments.
Certifications in cloud, Kafka, or AI technologies.
Exposure to data engineering and big data tools (e.g., Spark, Flink).
Education
Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience).
Please note that only candidates authorized to work in the US will be considered for this position. Sponsorship is not available.
We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, pleaseclick here.
Our Base Pay Range for this position
$99,600 - $166,000
McKesson is an Equal Opportunity Employer
McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.
