Lead Software Engineer
Technology, Data & Digital · Software & Web Development · Software Engineering · Data Engineering · Machine Learning
In short
Responsibilities
- Lead the design, build, and delivery of cloud-native applications and services across consumer engagement and digital experience platforms.
- Define technical approaches and architecture for new capabilities, ensuring solutions are scalable, secure, resilient, and operationally efficient.
- Design the consumer data foundations powering personalization, activation, experimentation, and AI, including event platforms, analytics datasets, customer intelligence models, and transformation pipelines (e.g. dbt, Databricks, BigQuery).
- Work with consumer and behavioral data to enable segmentation, personalization, activation, and real-time consumer experiences while maintaining appropriate privacy, consent, security controls and regulatory requirements (GDPR, CCPA and similar frameworks).
- Take systems from prototype to production: recommendation engines, predictive models and intelligent automation used by real consumers at scale.
- Partner directly with product, CX, data, and engineering teams to identify opportunities and convert them into production-ready solutions.
- Own services end-to-end, from solution design and proof-of-concept through implementation, deployment, monitoring, optimization, and production support.
- Apply CI/CD, automated testing, telemetry, orchestration, and secure development practices as the default, not an afterthought.
- Use AI-assisted engineering tools as part of the standard workflow.
Requirements
- 8+ years of software engineering experience building and operating cloud-native applications at scale.
- Experience delivering production solutions on Azure or GCP.
- Strong hand-on experience with Python and/or Go.
- Experience designing distributed systems, APIs, microservices, and integration platforms.
- Experience designing data pipelines and analytical datasets that support ML or personalization workloads, including strong SQL and data modeling.
- Strong understanding of observability, reliability engineering, CI/CD, security, and operational excellence.
- Experience building, integrating, or operating AI-powered capabilities such as LLM applications, RAG solutions, recommendation systems, predictive models, agents, or intelligent automation platforms.
- Ability to influence technical direction and align engineering decisions with business outcomes.
- Demonstrated experience leading technical initiatives across multiple teams and influencing architecture decisions without direct authority.
Desired Qualifications
- Experience taking AI-enabled systems from proof-of-concept to production workloads.
- Experience with customer data, identity, engagement, personalization, or digital-experience platforms.
- Experience with event-streaming technologies (Kafka, Event Hub, Pub/Sub) and modern data tooling (dbt, Spark, Databricks).
- Experience with Java (with Quarkus or Spring Boot).
- Previous mentoring, team-lead, or people-lead experience.
- Contributions to open-source projects (GitHub profile welcome).
Benefits
- Flexible work hours/hybrid work environment
- Discounts on our award-winning Electrolux products and services
- Family-friendly benefits
- Extensive learning opportunities and flexible career path.
Skills
Electrolux Group is a leading global appliance company that has shaped living for the better for more than 100 years. We reinvent taste, care and wellbeing experiences for millions of people, always striving to be at the forefront of sustainability in society through our solutions and operations. Under our group of leading appliance brands, including Electrolux, AEG and Frigidaire, we sell household products in around 120 markets every year. In 2025 Electrolux Group had sales of SEK 131 billion and employed approximately 39,000 people around the world. For more information go to…
Company
Electrolux GroupJob Posted
3 days ago
Employment Type
Full Time
Work mode
Hybrid
Experience Level
Senior
Locations
Bangalore, India
Applicants
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