トレンド企業

LexisNexis (RELX)
LexisNexis (RELX)

Provides data and technology services, analytics, predictive insights, and fraud prevention for a wide range of industries.

Software Engineering Lead

職種エンジニアリング
経験リード級
勤務地UK - London (London Wall)
勤務オンサイト
雇用正社員
掲載1ヶ月前
応募する

Job Description:

Software Engineering Lead:

Would you enjoy working on our cutting-edge products?

Do you enjoy collaborating with others?

About the Business:

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, https://risk.lexisnexis.com

About our team:

Our team operates in squads, each consisting of a Squad Lead, Business Analyst, Dev Lead, Developers, and Testers. This structure enhances connectivity and allows for faster delivery as all resources work together on dedicated tasks.

About the role:

This position serves as a Software Engineering lead for a specific team of Software Engineers. In addition to writing code on complex systems and applications, this position has direct responsibilities for delivery and line management of core engineering roles within their team.

At RELX, we are committed to advancing gender diversity within the technology sector and supporting greater representation of women in tech. To further this commitment, RELX has implemented the following initiatives:

Women in Technology (WiT) Mentoring Program: This program is tailored to enhance career development for female talent in tech roles across all our businesses.

Responsibilities

  • Working closely with other Development team members to understand product requirements and translate them into software designs

  • Implementing development processes, coding best practices, and code reviews

  • Operating in various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders

  • Completing complex bug fixes, resolving technical issues, and working with complex data models

  • Managing your team, including interviewing, hiring, planning, assigning and directing work, appraising performance, and giving appropriate feedback

  • Providing accurate effort and cost estimates for deliverables

  • Encouraging new ideas from staff to foster improvements through innovations and empowering them to be accountable

  • Seeking diverse ideas and perspectives from a variety of sources to create better solutions, products and services

Requirements

  • • Expertise in Front End Development Preferably Angular (or) MFE with Angular framework

  • Expertise in Spring Boot, Micro Services, and API experience

  • Experience with all OAuth2.0 flows, tools and framework

  • Experience with messaging systems like Kafka, or Kinesis.

  • Hands-on experience with graph databases such as Neo4j or Neptune, and familiarity with Apache Tinker Pop and the Gremlin query language (preferred; nice to have)

  • Experience with AWS Stack and more importantly Services like SQS/SNS, Opensearch, Lambda, App Sync, EC2, S3, RDS

  • Strong Experience working with databases (Elastic/RDBMS/MariaDB/MySQL/NoSQL)

  • Deep expertise and best-practice in architecture design across application, data, and infrastructure domains.

  • CICD pipelines leveraging Docker, Kubernetes, EKS, and Git Actions

  • Advanced knowledge of software development methodologies (e.g., Agile, Waterfall).

  • Strong experience with various resource models such as Managed Services and/or Staff Augmentation.

  • Ability to partner and lead internal and external technology resources in solving complex business needs.

  • Test-driven development.

  • Learn more about the Lexis Nexis Risk team and how we work here

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 to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.

Please read our Candidate Privacy Policy.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

USA Job Seekers:

EEO Know Your Rights.

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LexisNexis (RELX)について

LexisNexis (RELX)

Provides data and technology services, analytics, predictive insights, and fraud prevention for a wide range of industries.

10,001+

従業員数

Alpharetta

本社所在地

$41.2B

企業価値

レビュー

10件のレビュー

4.0

10件のレビュー

ワークライフバランス

4.2

報酬

2.8

企業文化

4.1

キャリア

2.9

経営陣

3.2

72%

知人への推奨率

良い点

Great work-life balance and flexibility

Supportive and inclusive environment

Excellent benefits and health plans

改善点

Compensation and salary not competitive

Limited career advancement opportunities

Management communication issues

給与レンジ

66件のデータ

Junior/L3

Mid/L4

Junior/L3 · Data Analyst I

2件のレポート

$72,700

年収総額

基本給

$63,221

ストック

-

ボーナス

-

$72,700

$72,700

面接レビュー

レビュー5件

難易度

3.0

/ 5

期間

14-28週間

体験

ポジティブ 0%

普通 80%

ネガティブ 20%

面接プロセス

1

Application Review

2

HR Screen

3

Technical Interview

4

Background Check

5

Offer

よくある質問

Technical Knowledge

Past Experience

Behavioral/STAR

Data Analysis