Advisor Software Development Engineering
Calling all innovators – find your future at Fiserv.
We’re Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day – quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
Job Title
Advisor Software Development Engineering:
What does a successful Mainframe Modernization Engineer do at Fiserv?
We are looking for a Mainframe Modernization Engineer to drive the transformation of legacy IBM mainframe development and operations into a standardized, modern, and AI Driven delivery model. Standardizing on VS Code + Zowe Explorer with AI assistance and integrating Endevor, DB2, JES, Control‑M, File Master, CA‑View and Sonar Qube to enable in‑IDE debugging and CI quality gates is needed from Mainframe Modernization Engineer.
What you will do:
- Modernize mainframe development by standardizing on VS Code with Zowe Explorer
- Integrate core mainframe systems into a unified development and delivery workflow, including: Endevor, DB2, JES, Control‑M, File Master, CA‑View
- Enable in‑IDE development, debugging, job monitoring, and operational visibility
- Design and implement CI/CD pipelines with built‑in quality gates using Sonar Qube
- Improve code quality, delivery speed, and release predictability across the SDLC
- Capture production telemetry across batch jobs, scheduling, and databases
- Implement predictive monitoring to:
- Identify potential SLA breaches before they occur
- Detect anomalies early
- Correlate root causes across jobs, schedules, and data layers
- Reduce incident impact through automated runbooks and integration with incident‑management systems
- Drive measurable improvements in MTTD, MTTR, SLA compliance, and operational stability
- Reduce development and operational costs by:
- Optimizing the developer work environment
- Enabling junior developers to deliver faster using standard frameworks and automation
- Document modernization patterns, operational processes, and best practices
- Partner with development, QA, and operations teams in an Agile SDLC model
What you will need to have:
- Bachelor’s degree or equivalent practical experience.
- 9–11 years of Strong experience with IBM mainframe systems
- Hands‑on expertise in COBOL, JCL, and SQL
- Solid understanding of Software Development Lifecycle (SDLC)
- Experience working with mainframe tools such as Endevor, DB2, JES, Control‑M, File Master, and CA‑View
- Experience with Git and CI systems (GitLab CI, Jenkins) and basic pipeline authoring.
- Working knowledge of Docker and basic Kubernetes concepts (pods, services).
- Comfortable working in an Agile environment with strong communication skills.
- Production support experience, including job monitoring, incident response, and root‑cause analysis
- Strong analytical, problem‑solving, and communication skills
- Ability to work effectively across development, QA, and operations teams
What would be great to have:
- Experience modernizing large‑scale legacy mainframe environments
- Exposure to cloud or hybrid modernization initiatives
- Experience reducing dependency on senior specialists through automation and standardization
- Background in financial services or large enterprise environments
- Understanding of security scanning, SCA and automated compliance checks.
AI-enabled skills:
- Experience or strong exposure to applying AI for analysis such as Anomaly detection, SLA risk prediction, Root‑cause correlation.
- Ability to use AI‑assisted tools to improve productivity while ensuring accuracy and control
- Understanding of how AI can reduce reactive monitoring and operational toil
- Familiarity with developer AI assistants (GitHub Copilot or equivalent) to speed routine scripting and documentation while verifying outputs before use.
- Use AI tools to generate pipeline templates and draft runbook content responsibly.
Thank you for considering employment with Fiserv. Please:
- Apply using your legal name
- Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).
Our commitment to Diversity and Inclusion:
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
Note to agencies:
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
Warning about fake job posts:
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.
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Fiservについて
Fiserv
PublicFiserv, Inc. is an American multinational financial technology company headquartered in Milwaukee, Wisconsin.
10,001+
従業員数
Brookfield
本社所在地
$44B
企業価値
レビュー
10件のレビュー
3.4
10件のレビュー
ワークライフバランス
3.2
報酬
2.8
企業文化
4.0
キャリア
2.5
経営陣
2.7
65%
知人への推奨率
良い点
Good benefits and health benefits
Supportive culture and friendly coworkers
Flexible hours and work-life balance
改善点
Heavy workload and overwhelming work
Poor management and lack of support
Low compensation and entry-level pay
給与レンジ
15件のデータ
Mid/L4
Mid/L4 · DATA AND BUSINESS ANALYST - ADVISOR I
1件のレポート
$188,910
年収総額
基本給
$163,400
ストック
-
ボーナス
-
$188,910
$188,910
面接レビュー
レビュー3件
難易度
3.0
/ 5
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Offer
よくある質問
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
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