Lead Software Engineer - AIOps/Gen AI

Overview

Lead Software Engineer responsible for the strategy, architecture, and execution of next-generation AIOps capabilities across the enterprise. Drive intelligent, autonomous operations using AI/ML, observability, automation, and event-driven architectures to minimize manual intervention, improve resilience, and enable self-healing systems.

What you'll do

• Lead complex technology initiatives, including companywide initiatives with broad impact.
• Develop standards and companywide best practices for engineering complex and large-scale technology solutions.
• Design, code, test, debug, and document projects and programs.
• Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, the enterprise technological environment, and technical challenges requiring in-depth evaluation of multiple factors.
• Make decisions in developing standard and companywide best practices for engineering and technology solutions.
• Influence and lead technology teams to meet deliverables and drive new initiatives.
• Collaborate and consult with key technical experts, senior technology teams, and external industry groups to resolve complex technical issues and achieve goals.
• Lead projects and teams, or serve as a peer mentor.
• Define and deliver intelligent, autonomous operations by leveraging AI/ML, observability, automation, and event-driven architectures.
• Partner with senior engineering, platform, SRE, and business leaders to accelerate AIOps adoption and embed intelligence into production ecosystems.
• Deliver measurable improvements in availability, efficiency, and operational risk reduction.

What you'll need

• 5+ years of Software Engineering experience, or equivalent demonstrated through work experience, training, military experience, education, or a combination of these.

Nice to have

• Deep expertise in AIOps platforms and tools, such as Prometheus, AppDynamics, Splunk, ITRS Geneos, BigPanda, and OpenTelemetry ecosystems.
• Strong experience with AI/ML for IT operations, including anomaly detection, event correlation, forecasting, and intelligent alerting.
• Hands-on experience with automation frameworks, such as Ansible, Terraform, or similar, and event-driven architectures.
• Strong understanding of SRE principles, SLIs/SLOs, error budgets, and reliability engineering practices.
• Experience building self-healing systems and closed-loop remediation workflows.
• Proficiency in cloud platforms and cloud-native architectures, including Kubernetes and microservices.
• Knowledge of data pipelines, streaming platforms such as Kafka, and telemetry ingestion and processing.
• Familiarity with GenAI/LLM-assisted operations, including incident summarization, knowledge mining, and automated runbook generation.
• Ability to operate across complex organizational structures with strong stakeholder management and communication skills.
• Proven ability to define target-state architecture, operating models, and actionable roadmaps.

Details

• Location: Bengaluru, India.
• Ability to manage multiple high-complexity engineering initiatives with significant enterprise impact.
• Strong analytical, problem-solving, and architectural design skills.
• Excellent communication and documentation skills, including Confluence, Git, and architecture diagrams.
• Comfortable driving transformation and influencing senior leadership in a fast-paced, evolving environment.
• This position is not open to visa initiation or transfer.