Lead Software Engineer
Role details
Job location
Tech stack
Job description
- Lead technology implementations for the modernization and integration of existing applications into in-house strategic builds, replacing vendor solutions.
- Deliver technical solutions that can be leveraged across multiple businesses and domains.
- Influence peer leaders and senior stakeholders across business, product, and technology teams.
- Contribute to the design and implementation of strategic, high-volume, high-resilience data processing systems for surveillance and retention.
- Collaborate as part of a global technology organization spanning the US and APAC, providing end-to-end design, build, and delivery.
- Ensure adherence to team and organizational standards, focusing on continuous improvement and sustained delivery.
- Employ simple design and pragmatic implementation techniques to maximize business value.
- Pair program with team members to build high-quality solutions.
- Demonstrate passion for technology and a commitment to continuous learning and adoption of new technologies and practices.
- Mentor junior team members to advance their technical and professional skills, while actively seeking opportunities to learn and grow., Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.", "salary_raw": null}
Requirements
- Formal training or certification in software engineering concepts and 5+ years of applied experience.
- Strong software engineering background with a solid understanding of design patterns, cloud-native microservices architecture, and engineering best practices.
- Proficient in Java, Python, Spring Boot, and Oracle, with a good understanding of Maven build tooling.
- Experience collaborating with data scientists, product managers, and business stakeholders to identify AI-driven business opportunities.
- Hands-on experience with Docker, Kubernetes, AWS (including EMR, OpenSearch, AWS Bedrock, EKS, and ECS).
- Experience with data platforms hosted on Databricks, implementing AI/ML solutions using Claude and DBx Vector search.
- Proficient with relational databases (Postgres, Oracle, Aurora, etc.).
- Practical experience with unit testing tools such as JUnit or Mockito.
- Experience with OpenSearch or ElasticSearch for search and analytics capabilities.
- Hands-on experience with AI/ML frameworks, Vector DB, OpenSearch, LLMs, and cloud-based AI services (e.g., AWS SageMaker, Azure ML).
- Bachelor's or Master's degree in Computer Science, Computer Engineering, Mathematics, or a related technical field.
Preferred Qualifications, Capabilities, and Skills:
- Proficient in SQL, preferably across multiple databases.
- Experience with monitoring and observability tools such as Grafana, Cortex, Kibana, Datadog, and Cloudwatch.
- Familiarity with package management and artifact repositories (NuGet, JFrog Artifactory).
- Experience with modern UI technologies such as Angular or React is a plus.
Benefits & conditions
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.