Senior Dev – Java, Python & Microservices
Cognizant’s Digital Engineering practice is seeking a highly qualified Senior Dev– Java, Python & Microservices (Hybrid) with 8+ year of experience developing and building high-performing, scalable, enterprise applications. You will be part of a digital software team that works on high-demand applications. Our engineers have a passion for high-quality, reliable and maintainable code. You will work side by side with product managers, designers, and clients, making decisions together to quickly deliver valuable working software to clients and their users. Our engineers are agile and retrospective, and not afraid to identify what we’re doing wrong, so we can fix it, and what we’re doing right, so we can improve on it. Above all, we judge success by the success of our team and the happiness of our customers.
Cognizant Digital Engineering If you’re like us, you’ve got big ideas. At Cognizant, we’re exploring new ideas every day. We help industry leading companies reinvent their business models and innovate products that create new value—by connecting people with things, insights and experiences. Cognizant digital engineering designs, engineers and delivers digital products and experiences that drive digital-first business models. We offer the most comprehensive digital engineering expertise and client-centric methodology for sustainable innovation.
Location: Mount Laurel - NJ (Hybrid)
*You must be legally authorized to work in the USA without the need for employer sponsorship, now or at any time in the future*
Responsibilities:
Core Backend Engineering:
•Strong experience in Java and Python development
•Expertise in building scalable microservices and REST APIs
•Knowledge of distributed systems and enterprise architecture patterns
AI / LLM Integration:
•Experience integrating Large Language Models (LLMs) into backend services
•Proficiency in prompt engineering, inference optimization, and response quality tuning
•Understanding of responsible AI practices and model governance
Payments & Domain Expertise:
•Familiarity with digital payments, cards, or financial services workflows
•Experience enhancing customer journeys and transaction processes using AI
Security & Compliance:
•Strong understanding of secure coding practices and data protection
•Experience with regulatory compliance and risk-aware system design
DevOps & Quality Engineering:
•Experience with CI/CD pipelines, deployment automation, and hybrid environments
•Strong knowledge of testing strategies (unit, integration, non-functional)
•Familiarity with observability, monitoring, and performance tuning
Collaboration & Leadership:
•Ability to work effectively in a hybrid and cross-functional environment
•Strong analytical, problem-solving, and communication skills
•Experience mentoring teams and promoting engineering best practices
Qualifications:
· Focuses on designing and implementing secure, scalable enterprise solutions
· Involves integrating Large Language Models (LLMs) with Java and Python-based services
· Requires 8+ years of total experience
· Emphasizes innovation in enhancing digital payment journeys
· Aims to deliver responsible, AI-driven customer experiences
· Operates in a day-shift model
· Requires close collaboration with cross-functional teams
· Focus on building reliable, high-performance systems
· Ensures alignment with business and compliance requirements
Salary and Other Compensation:
Applications will be accepted until July 10th, 2026.
The annual salary for this position is between $ 81,337 $ to 163,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Über Cognizant
Cognizant (NASDAQ: CTSH) i ist ein Technologiedienstleister und Entwickler von KI-Lösungen. Wir schlagen die Brücke zwischen KI-Investitionen und echtem unternehmerischem Mehrwert, indem wir ganzheitliche Full-Stack-KI-Lösungen für unsere Kunden entwickeln. Mit unserer fundierten Branchen-, Prozess- und Engineering-Expertise integrieren wir die spezifischen Anforderungen von Unternehmen passgenau in Technologiesysteme. So entfalten wir das menschliche Potenzial, erzielen greifbare Ergebnisse und sichern globalen Unternehmen in einer sich rasant wandelnden Welt den entscheidenden Vorsprung. Erfahren Sie mehr unter cognizant.ai oder @cognizant.
Zusätzliche Informationen zur Beschäftigung
Die Vergütungsinformationen sind zum Zeitpunkt der Veröffentlichung dieser Stellenausschreibung korrekt. Cognizant behält sich das Recht vor, diese Informationen jederzeit unter Beachtung der geltenden gesetzlichen Bestimmungen zu ändern.
Bewerberinnen und Bewerber können verpflichtet sein, an Vorstellungsgesprächen persönlich oder per Videokonferenz teilzunehmen. Darüber hinaus kann es erforderlich sein, bei jedem Gespräch einen gültigen staatlichen Lichtbildausweis vorzulegen.
Cognizant ist ein Arbeitgeber mit Chancengleichheit. Ihre Bewerbung und Kandidatur werden nicht aufgrund von Rasse, Hautfarbe, Geschlecht, Religion, Glaubensbekenntnis, sexueller Orientierung, Geschlechtsidentität, nationaler Herkunft, Behinderung, genetischen Informationen, Schwangerschaft, Veteranenstatus oder sonstiger durch bundes‑, landes‑ oder kommunalrechtliche Vorschriften geschützter Merkmale berücksichtigt oder abgelehnt.
