Lead Software Engineer

Lead complex technology initiatives including those that are companywide with broad impact

Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions for technology engineering disciplines

Design, code, test, debug, and document for projects and programs

Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors

Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives

Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals

Lead projects, teams, or serve as a peer mentor

Required Qualifications:

5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

5+ years of software engineering experience building scalable, production‑grade systems using modern programming languages and frameworks.

Strong proficiency in Python, .NET, JavaScript/React, APIs, and hands‑on experience with SQL and NoSQL data stores.

Strong proficiency in Ansible based network and systems automation, with 8+ years of working domain experience.

Knowledge on orchestration platforms like AAP, Tower is added advantage

Experience with event‑driven and distributed systems, including Kafka, ETL pipelines, microservices design.

3+ years of practical experience building AI/ML‑powered capabilities, including data preparation, model development, optimization, and deployment into production workflows.

Experience designing and deploying RESTful services, backend automation services, and platform components that support large‑scale engineering or operational systems.

Familiarity with containerized workloads on Kubernetes, Open Shift

Strong background in data engineering workflows, including data ingestion, data feeds, transformation, and analysis ideally in infrastructure or operational domains.

Exposure to observability and telemetry ecosystems, such as Prometheus, Open Telemetry, time‑series metrics, synthetic monitoring, or capacity/health analytics.

Solid understanding of systems fundamentals: concurrency, memory management, distributed system behavior, API architectures, and modern web/service frameworks.

Effective communicator with the ability to influence cross‑functional teams, collaborate across the functions

Experience working with capacity analytics, metrics pipelines, telemetry, or observability systems supporting large, distributed environments is added advantage.

Knowledge of Agile development models and experience working in product‑based engineering teams.

Understanding of secure software development practices, including secure coding, static analysis, and application security fundamentals.

Familiarity with enterprise architecture patterns across front‑end, services, middleware, and data layers in complex systems environments.