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Equifax · 9 hours ago

Software Engineer - Specialist

St Louis, MO

Full-time

Hybrid

Senior Level

7+ years exp

Equifax is seeking creative, high-energy software engineers to work on a variety of meaningful projects. The role involves collaborating with internal and external stakeholders, managing cross-functional teams, and ensuring compliance with secure software development guidelines while driving technical documentation and cloud-native solution development.

AnalyticsConsultingDatabase

No H1B

Responsibilities

Deep understanding of cloud native, distributed micro service based architectures. Build strong relationships with both internal and external stakeholders including product, business and sales partners. Demonstrate excellent communication skills with the ability to both simplify complex problems and also dive deeper if needed

Collaborate with the architects, SRE leads and other technical leadership on strategic technical direction, guidelines, and best practices

Manage teams with cross functional skills that include software, quality, reliability engineers, project managers and scrum masters. Mentor, coach and develop junior and senior software, quality and reliability engineers

Ensure compliance with EFX secure software development guidelines and best practices and responsible for meeting and maintaining QE, DevSec, and FinOps KPIs

Define, maintain and report SLA, SLO, SLIs meeting EFX engineering standards in partnership with the product, engineering and architecture teams

Drive technical documentation including support, end user documentation and run books. Lead Sprint planning, Sprint Retrospectives, and other team activity

Implement architecture decision making associated with Product features/stories, refactoring work, and EOSL decisions

Create and deliver technical presentations to internal and external technical and non-technical stakeholders communicating with clarity and precision, and present complex information in a concise format that is audience appropriate

Perform R&D, prototyping/PoC of cloud-native solutions

Design and develop cloud-native solutions. Design and development of big data processing solutions using Dataflow/Apache Beam, Bigtable, BigQuery, PubSub, GCS, Composer/Airflow, and others. Design and development of micro services using Java, Springboot, GCP SDKs, GKE/Kubeneties

Deploy and release software using Jenkins CI/CD pipelines, understand infrastructure-as-code concepts, Helm Charts, and Terraform constructs

Qualification

Cloud-native architectureMicroservices developmentJava programmingCI/CD pipelinesGCP experienceBig Data processingAgile methodologiesLeadership qualitiesProblem-solving skillsTechnical documentation

Required

Bachelor's degree or equivalent experience

7+ years of software engineering experience

7+ years experience writing, debugging, and troubleshooting code in mainstream Java, SpringBoot, TypeScript/JavaScript, HTML, CSS

7+ years experience with Cloud technology: GCP, AWS, or Azure

7+ years experience designing and developing cloud-native solutions

7+ years experience designing and developing microservices using Java, SpringBoot, GCP SDKs, GKE/Kubernetes

7+ years experience deploying and releasing software using Jenkins CI/CD pipelines, understand infrastructure-as-code concepts, Helm Charts, and Terraform constructs

Deep understanding of cloud native, distributed micro service based architectures

Excellent communication skills with the ability to both simplify complex problems and also dive deeper if needed

Ability to manage teams with cross functional skills that include software, quality, reliability engineers, project managers and scrum masters

Ensure compliance with EFX secure software development guidelines and best practices and responsible for meeting and maintaining QE, DevSec, and FinOps KPIs

Define, maintain and report SLA, SLO, SLIs meeting EFX engineering standards in partnership with the product, engineering and architecture teams

Drive technical documentation including support, end user documentation and run books

Lead Sprint planning, Sprint Retrospectives, and other team activity

Implement architecture decision making associated with Product features/stories, refactoring work, and EOSL decisions

Perform R&D, prototyping/PoC of cloud-native solutions

Design and develop cloud-native solutions

Preferred

Experience with Vertex AI and/or working on advanced Generative AI (Gen AI) and agentic applications

Experience with BQML (BigQuery ML) and implementing AI Observability tools for drift detection and model performance

Experience designing and developing Big Data processing solutions using Dataflow/Apache Beam, Bigtable, BigQuery, PubSub, Composer/Airflow, and others

Strong experience with Java, Python and/or R language for data systems

Strong experience working with agile methodologies (Scrum, Kanban, XP) and cross-functional product teams

Demonstrated problem-solving skills, strong leadership qualities, and the ability to mentor and develop engineers