NielsenIQ
consumer intelligence
Manager,Engineering
Neural analysis suggests this role is
optimal for mid candidates.
“Manager, Engineering at NielsenIQ. Skills: Platform Engineering, API Services, large-scale distributed systems, Java, Springboot, Python, Database (rdbms, NoSQL), DevSecOps pipeline. architect, build, deploy and optimize enterprise-grade platforms. Shapes best practices, coding standards, and software architecture at an organizational level”
What You'll Achieve.
improve API services quality, performance, and reliability; Optimize computing cost, performance; productionalize features; efficiency gain by Adopting AI tools in SDLC; automated reliability improvements; incident simulations; scaling patterns; technical decisions with a clear understanding of business impact, cost-efficiency, and long-term sustainability; evolved the technical strategy for large-scale distributed systems; Balanced short-term delivery needs with long-term scalability and maintainability; design, build, deploy, refactor enterprise grade applications; Resolved cross-team challenges
Industry & Context.
Excellent problem-solving skills
What They're Looking For.
Must Have
6+ years of professional experience in Platform Engineering esply building API Services layer integrating with upstream and downstream, Defined and evolved the technical strategy for large-scale distributed systems, Balanced short-term delivery needs with long-term scalability and maintainability, Should have experience in design, build, deploy, refactor enterprise grade applications, Deep expertise in Java, Springboot, Python, expertise Database (rdbms, NoSQL), Hands on in tools for Caching, Queuing, Experience in Modern cloud ecosystems, expertise in DevSecOps pipeline, quality gates, tools(code coverage, testing, sast, dast), Resolved cross-team challenges by fostering open and constructive conversations
Nice to Have
Progressive coverage in unit testing, AI tools in SDLC, Knowledge of technology standards and ability to convey key aspects to team members, Uses AI to design automated reliability improvements, incident simulations, and scaling patterns
What You'll Do.
deploy and optimize enterprise-grade platforms
Shapes best practices
and software architecture at an organizational level
Lead solutions that improve API services quality
and reliability across the organization
Optimize computing cost
performance using the appropriate software engineering principles
Interfacing teams to productionalize features
Enforce DevSecOps practices - Secret
Mentor junior engineers
drive technical decision-making
and platform APIs roadmap discussions
Adopt and improve efficiency gain by Adopting AI tools in SDLC
Uses AI to design automated reliability improvements
Makes technical decisions with a clear understanding of business impact
and long-term sustainability
Defined and evolved the technical strategy for large-scale distributed systems
Balanced short-term delivery needs with long-term scalability and maintainability
refactor enterprise grade applications
Resolved cross-team challenges by fostering open and constructive conversations
How You'll Work.
Team & Collaboration
Work closely PL, Arch, PMO, Interfacing teams; Mentor junior engineers; Lead design reviews, code reviews, and platform APIs roadmap discussions; collaboration; Resolved cross-team challenges by fostering open and constructive conversations
Communication Scope
ability to convey key aspects to team members
Process & Methodology
PMO
Full Job Description
We are seeking a highly skilled Senior Software Engineer to architect, build, deploy and optimize enterprise-grade platforms. * Shapes best practices, coding standards, and software architecture at an organizational level * Lead solutions that improve API services quality, performance, and reliability across the organization * Optimize computing cost, performance using the appropriate software engineering principles * Work closely PL, Arch, PMO, Interfacing teams to productionalize features. * Enforce DevSecOps practices - Secret, SAST, DAST * Progressive coverage in unit testing. * Mentor junior engineers, drive technical decision-making * Lead design reviews, code reviews, and platform APIs roadmap discussions * Leads without authority, influencing through expertise, logical reasoning, and collaboration. * Adopt and improve efficiency gain by Adopting AI tools in SDLC * Knowledge of technology standards and ability to convey key aspects to team members. * Excellent problem-solving skills. * Uses AI to design automated reliability improvements, incident simulations, and scaling patterns. * Makes technical decisions with a clear understanding of business impact, cost-efficiency, and long-term sustainability. ## Qualifications * 6+ years of professional experience in Platform Engineering esply building API Services layer integrating with upstream and downstream * Defined and evolved the technical strategy for large-scale distributed systems * Balanced short-term delivery needs with long-term scalability and maintainability * Should have experience in design, build, deploy, refactor enterprise grade applications * Deep expertise in Java, Springboot, Python * Strong expertise Database (rdbms, NoSQL) * Hands on in tools for Caching, Queuing * Experience in Modern cloud ecosystems * Strong expertise in DevSecOps pipeline, quality gates, tools(code coverage, testing, sast, dast) * Resolved cross-team challenges by fostering open and constructive conversations ## Additiona
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