13 jobs for "Lead Software Engineer - Java with Agentic AI"

Lead Software Engineer - Java with Agentic AI

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Assurance Engineering Platform Developer SMTS / LMTS

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Staff Software Engineer - AI Developer Platform (AIFX)

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Principal AI Software Engineer

At GE Vernova - Niskayuna

Posted on Nov 3

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Staff AI Software Engineer

At GE Vernova - Bengaluru

Posted on Nov 2

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Principal Software Engineer- Eng

At UKG - Noida

Posted on Oct 29

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Staff AI Software Engineer

At GE Vernova - Bengaluru

Posted on Nov 2

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Lead Product Security Engineer

At Salesforce - Dublin

Posted on Nov 5

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Full-stack Engineer 4

At Capital One - Plano · McLean

Posted on Oct 28

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UKG

Principal Software Engineer- Eng

Noida, IndiaPosted 10 days ago

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Why UKG:

At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That's what we do.

We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you'll get flexibility that's real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters-and so do you.

Role Overview
We are seeking a highly accomplished Principal Software Engineer to join the engineering team for the WFM platform product. This role is focused on leading the technical direction, architecture, and engineering strategy for a modern, scalable, resilient, and intelligent enterprise SaaS product platform.
As a Principal Software Engineer, you will play a key role in defining the technology stack, shaping the technical roadmap, driving architectural decisions, and leading complex engineering initiatives across multiple teams. You will be expected to bring deep technical expertise, enterprise-scale thinking, and a strong understanding of performance, reliability, observability, and operational excellence.

This role requires a hands-on technical leader who can guide engineering teams through agentic SDLC, complex design decisions, lead technical discussions, troubleshoot critical technical issues, and build scalable and secure platform. The ideal candidate will have strong proficiency in Java, database technologies, cloud-native engineering, distributed systems, and modern AI-assisted software engineering practices.

We are looking for an engineer who combines strategic technical vision with practical execution, mentors senior engineers, raises engineering standards, and helps build a product platform that is scalable, secure, observable, performant, and ready for the future.
Responsibilities

Technical Leadership & Architecture
• Define and drive the architectural vision for the WFM platform, ensuring scalability, resiliency, performance, maintainability, and long-term extensibility.
• Lead the evaluation, selection, and evolution of the core technology stack, including application frameworks, cloud-native services, database technologies, observability tools, messaging systems, and AI-enabled engineering capabilities.
• Define and influence the technical roadmap in partnership with engineering leadership, product management, architecture, and cross-functional stakeholders.
• Lead architecture reviews, design discussions, and technical decision-making for complex product and platform initiatives.
• Provide technical direction across multiple teams and ensure alignment with enterprise engineering standards, security expectations, and operational goals.
• Evaluate emerging technologies, frameworks, and engineering practices to continuously improve product capabilities, developer productivity, and system reliability.

Software Engineering & Platform Development
• Design and build highly scalable, secure, and reliable cloud-native enterprise platform.
• Lead the development of distributed systems, APIs, backend services, event-driven workflows, and data-intensive applications.
• Drive modernization initiatives that improve system performance, scalability, maintainability, and engineering velocity.
• Establish and promote engineering best practices around code quality, testing, automation, design patterns, performance optimization, and maintainable architecture.
• Lead complex cross-functional engineering initiatives that require coordination across multiple teams, systems, and stakeholders.
• Ensure the product is built with an enterprise-level mindset, including strong consideration for scalability, compliance, security, availability, customer experience, and operational readiness.

Observability, Reliability & Operational Excellence
• Drive platform-wide improvements in observability, monitoring, logging, metrics, tracing, alerting, and service health management.
• Define and implement observability standards using platforms and tools such as OpenTelemetry, Grafana, Kibana, Prometheus, Datadog, Splunk, or similar technologies.
• Lead troubleshooting and root-cause analysis for complex production issues, performance bottlenecks, system failures, and reliability concerns.
• Partner with engineering, operations, and SRE teams to define service-level objectives, operational metrics, error budgets, incident response practices, and reliability
improvement plans.
• Lead post-incident reviews and ensure corrective actions result in long-term improvements to architecture, automation, resiliency, and monitoring.
• Champion proactive engineering practices that improve product stability, reduce operational risk, and enhance customer trust.

Performance Engineering & Scalability
• Drive performance tuning across application services, database layers, APIs, integration points, and distributed system components.
• Identify and resolve scalability challenges in high-volume, enterprise-grade SaaS environments.
• Lead capacity planning, load testing, profiling, query optimization, caching strategies, and performance benchmarking efforts.
• Ensure that technical designs account for throughput, latency, concurrency, data growth, resiliency, and cost efficiency.
• Partner with teams to establish measurable performance goals and continuously improve system responsiveness and efficiency.

AI-First Engineering & Agents
• Bring strong insight into AI trends, AI-assisted engineering, intelligent automation, and agent-based capabilities.
• Drive adoption of AI tools and practices to improve software design, development, testing, documentation, troubleshooting, and operational workflows.
• Identify opportunities to leverage AI and agents within the engineering lifecycle and product ecosystem to improve productivity, quality, and customer value.
• Guide teams on responsible AI usage, including security, privacy, governance, explainability, and reliability considerations.
• Evaluate AI-enabled platforms, developer tools, observability assistants, coding agents, and automation frameworks that can improve engineering outcomes at scale.

Database & Data Architecture
• Provide technical leadership in database design, data modeling, query optimization, transaction management, and scalable data access patterns.
• Work with relational and non-relational database technologies to support enterprise-grade application requirements.
• Guide teams in designing reliable, performant, and maintainable database solutions that support high-volume data processing and business-critical workflows.
• Lead troubleshooting of complex database performance issues, including indexing, locking, query plans, connection management, data partitioning, and schema evolution.
• Ensure data architecture decisions align with security, compliance, scalability, performance, and long-term maintainability goals.

Security, Compliance & Enterprise Readiness
• Champion secure software design and development practices across the product.
• Ensure systems are designed with strong consideration for authentication, authorization, data protection, encryption, auditability, and secure integration patterns.
• Promote enterprise readiness through resilient architecture, operational maturity, compliance awareness, and high-quality engineering standards.
• Partner with security, architecture, and platform teams to ensure technical solutions align with organizational governance and risk management expectations.

Technical Mentorship & Influence
• Mentor senior engineers, technical leads, and development teams on architecture, design, engineering practices, troubleshooting, and technical decision-making.
• Lead technical discussions with clarity, influence, and strong engineering judgment.
• Build consensus across teams on complex architecture and design decisions.
• Raise engineering standards through design reviews, technical coaching, documentation, knowledge sharing, and continuous improvement.
• Act as a trusted technical advisor to engineering leadership and cross-functional stakeholders.

Minimum Qualifications
• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• 16+ years of professional software engineering experience, including significant experience building enterprise-scale software products.
• Strong proficiency in Java, including modern Java frameworks, backend service development, concurrency, performance tuning, and scalable application design.
• Deep experience with database technologies, including relational databases, SQL optimization, schema design, transaction management, indexing strategies, and performance troubleshooting.
• Proven experience designing and building large-scale distributed systems, microservices, APIs, and cloud-native enterprise applications.
• Strong understanding of observability platforms, monitoring, logging, tracing, metrics, alerting, and production diagnostics.
• Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
• Experience with performance engineering, including profiling, load testing, capacity planning, caching, query optimization, and system tuning.
• Strong understanding of enterprise SaaS architecture, operational readiness, resiliency, availability, security, and scalability.
• Demonstrated ability to lead architecture discussions, define technical roadmaps, and influence engineering direction across multiple teams.
• Experience troubleshooting complex technical issues across application, infrastructure, database, and integration layers.
• Strong understanding of AI-assisted software engineering practices, AI tools, and emerging agent-based development or automation models.
• Excellent communication, collaboration, mentoring, and technical leadership skills.

Preferred Qualifications
• Experience working on large-scale enterprise SaaS products serving global customers.
• Experience defining or evolving a product-level technology stack and long-term technical roadmap.
• Expertise with Kubernetes, containers, CI/CD pipelines, DevOps practices, and Infrastructure as Code.
• Experience with event-driven architecture, messaging platforms, distributed caching, and asynchronous processing patterns.
• Hands-on experience with observability tools such as OpenTelemetry, Grafana, Prometheus, Kibana, Splunk, Datadog, or similar platforms.
• Experience leading platform modernization, cloud transformation, or large-scale architecture evolution initiatives.
• Strong knowledge of secure software development, compliance-aware design, and enterprise integration patterns.
• Experience with AI coding assistants, engineering agents, intelligent automation, or AI-enabled operational tooling.
• Demonstrated ability to mentor senior technical talent and establish engineering standards across teams.
• Ability to balance strategic architecture vision with hands-on technical problem solving and delivery execution.

Key Attributes
• Strategic technical thinker with strong execution discipline.
• Hands-on engineering leader who can guide architecture while also diving deep into technical issues.
• Strong enterprise mindset with focus on reliability, performance, observability, scalability, and security.
• Clear communicator who can lead technical discussions and influence decisions across teams.
• Passionate about engineering excellence, innovation, AI-first development, and continuous improvement.
• Comfortable working in complex environments with multiple stakeholders, systems, and priorities.

Company Overview:

UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry - because great organizations know their workforce is their competitive edge. Learn more at ukg.com.

UKG is proud to be an equal opportunity employer and is committed to promoting diversity and inclusion in the workplace, including the recruitment process.

Disability Accommodation in the Application and Interview Process

For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com

About UKG

Size: 10,000+ employees
Industry: Technology

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