What You'll Do
Lead architecture and modernization initiatives across complex, distributed software systems.
Design and evolve scalable, secure, resilient, and high-performing applications and services.
Provide technical leadership for a Java and Spring Boot microservices environment running on Google Cloud Platform.
Evaluate service boundaries and architecture patterns to simplify systems, reduce operational overhead, and improve maintainability.
Drive cloud-native engineering improvements, including the evolution of applications toward Kubernetes-based deployment models.
Lead technical design reviews and influence engineering standards across the team.
Improve search and data architecture using technologies including Elasticsearch and Kafka.
Apply AI-assisted and agentic engineering workflows to software development, testing, documentation, and engineering automation.
Mentor engineers and collaborate with Product, Architecture, Security, Data, and Engineering partners.
Evaluate emerging technologies and engineering approaches that improve software quality, reliability, and development velocity.
Job Qualifications
8+ years of professional software engineering experience.
Strong hands-on Java and Spring Boot engineering experience.
Proven experience designing and delivering enterprise-scale software solutions in production environments.
Deep understanding of software architecture, distributed systems, microservices, APIs, and modern design patterns.
Experience leading complex technical initiatives and influencing engineering direction across teams.
Experience with cloud platforms, DevOps, and modern software delivery practices.
Experience applying AI-powered development tools, automation, or AI-native engineering practices as part of the software development workflow.
Strong communication skills with the ability to explain technical decisions and influence engineering teams.
Preferred
Google Cloud Platform and Kubernetes experience.
Elasticsearch experience, including cluster architecture, index design, reindexing strategies, and query optimization at scale.
Kafka experience, including event-driven architecture, partitioning, schema evolution, and consumer group design.
Angular experience.
PostgreSQL and Redis experience.
Experience with agentic software engineering workflows, context engineering, specification-driven development, or AI-enabled engineering automation.
Annual Pay Range
134,400 - 165,000 USD



Application Window
This opportunity is expected to remain posted through the date identified below, subject to business needs.
Thrive with Cotality
At Cotality, we offer more than just a job, we provide a benefits experience designed to support your whole self. From a flexible working model to competitive time off and standout health coverage with meaningful perks and growth opportunities, our package is built to help you thrive at work and in life.
Highlights, depending on role classification, include
Time off: Generous PTO and 11 paid holidays, plus well-being and volunteer time off.
Family Support: Up to 16 weeks of fully paid parental leave and a baby stipend.
Health: Multiple medical plan options with mental health and wellness support offerings.
Retirement: 401(k) with company match and vesting after one year.
Financial Perks: $400 annual well-being stipend and tuition assistance up to $5,250.
Extras: Recognition Rewards, Referral bonuses, exclusive discounts and more!
Cotality is an Equal Opportunity employer committed to attracting and retaining the best-qualified people available, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability or status as a veteran of the Armed Forces, or any other basis protected by federal, state or local law. Cotality maintains a Drug-Free Workplace.
Cotality is fully committed to a work environment that embraces everyone’s unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package. We are better together when we support and recognize our differences.
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