채용
필수 스킬
Node.js
Python
AWS
Backend development
Problem-Solving
CI/CD
Opportunity
In this position, you will architect and develop backend services, operational tooling, and infrastructure components that streamline workflows across engineering teams. You will also leverage AWS cloud capabilities, automation frameworks, and monitoring systems to strengthen reliability and efficiency. Your work will enable improved deployment practices, optimized system behaviors, and faster incident response while elevating the overall engineering culture.
Culture
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Highly collaborative, supportive team environment invested in shared growth and continuous improvement.
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Success comes from curiosity, adaptability, and a strong sense of ownership.
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Engineers thrive by learning quickly, embracing new tools, solving ambiguous problems, and driving practical improvements across systems and processes.
Key Responsibilites
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Backend & Infrastructure Ownership: Design, build, and maintain backend tools, services, and internal platforms that support operational workflows and enable high‑reliability systems.
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Service Reliability & Automation: Implement automation for processes such as incident triage, RCA workflows, remediation pipelines, deployment improvements, and operational runbooks.
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Cloud‑First Engineering: Leverage AWS services (Lambda, Step Functions, DynamoDB, S3, CloudWatch, etc.) to build resilient, scalable, and cost‑efficient systems.
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Cross‑Team Collaboration: Partner with Support, Product, and Engineering teams to understand pain points, streamline workflows, and drive operational improvements.
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Engineering Culture: Promote best practices in code quality, architecture, security, and deployment; mentor junior engineers; contribute to high‑quality code reviews and design discussions.
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Reliability Practices: Participate in on‑call rotations and post‑incident reviews to improve system reliability and response procedures.
Required Qualifications
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Hands‑on expertise with AWS cloud services (Lambda, Step Functions, DynamoDB, S3, CloudWatch, API Gateway, etc.).
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Strong proficiency in Node.js, Python, or similar modern backend languages.
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Experience implementing operational tooling, observability, and reliability patterns.
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Familiarity with CI/CD, testing frameworks, and version‑control best practices.
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Strong troubleshooting and problem‑solving skills with a focus on production systems and reliability.
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Ability to operate independently and drive impact with minimal high‑level direction.
Preferred Qualifications
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5 years of backend engineering experience using Node.js.
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Experience in regulated environments such as insurance, healthcare, or finance.
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Exposure to monitoring/observability tools (Datadog, Grafana, CloudWatch, Prometheus, etc.).
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Understanding of SLAs, incident response processes, SRE principles, and operational playbooks.
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Experience working with a mix of legacy systems and modern cloud‑native services.
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Familiarity with scripting languages (JavaScript, Python, Bash) and SQL for operational automation.
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Experience with Infrastructure as Code tools (Terraform, CloudFormation).
Technical Skills
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Backend development: Node.js, Golang, Python or similar technology. Knowledge of serverless architectures, microservices.
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AWS services: Lambda, Step Functions, DynamoDB, S3, CloudWatch, API Gateway, IAM.
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Monitoring & Observability: CloudWatch, Datadog, Grafana, log aggregation and alerting systems.
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CI/CD: GitHub Actions, GitLab CI, automated deployment pipelines.
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Infra-as-Code: Terraform, CloudFormation.
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Scripting & Automation: Golang, Bash, Python, JavaScript.
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Strong understanding of system design, operational reliability, and performance optimization.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click[here
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LexisNexis (RELX) 소개

LexisNexis (RELX)
PublicProvides data and technology services, analytics, predictive insights, and fraud prevention for a wide range of industries.
10,001+
직원 수
Alpharetta
본사 위치
$41.2B
기업 가치
리뷰
4.2
47개 리뷰
워라밸
4.1
보상
4.6
문화
4.4
커리어
4.2
경영진
3.7
86%
친구에게 추천
장점
Flexible remote work options and good work-life balance
Competitive compensation packages with equity
Opportunities for continuous learning and growth
단점
Organizational changes and restructuring can be disruptive
Internal politics in some teams
Fast-paced environment with tight deadlines
연봉 정보
66개 데이터
Junior/L3
Mid/L4
Junior/L3 · Data Analyst I
2개 리포트
$72,805
총 연봉
기본급
$63,221
주식
-
보너스
-
$72,805
$72,805
면접 경험
5개 면접
난이도
3.0
/ 5
소요 기간
14-28주
경험
긍정 0%
보통 80%
부정 20%
면접 과정
1
Application Review
2
HR Screen
3
Technical Interview
4
Background Check
5
Offer
자주 나오는 질문
Technical Knowledge
Past Experience
Behavioral/STAR
Data Analysis
뉴스 & 버즈
Electronic health records gain a new path into life insurance - Stock Titan
Stock Titan
News
·
5d ago
LexisNexis Risk Solutions Builds on Agenium Alliance with Expanded Medical Data Access for Life Insurers - ChartMill
ChartMill
News
·
5d ago
RELX Faces Rising AI Fraud Threats As LexisNexis Role Expands - simplywall.st
simplywall.st
News
·
1w ago
Investors fear AI will undercut LexisNexis. The company says it's driving growth - msn.com
msn.com
News
·
3w ago