What you will do:

• Architect and design highly-scalable, available and performant microservices based platforms and applications to support the future growth of the company.
• Drive the design and delivery of features by collaborating with program managers, product owners, engineers (Dev & QA) and other cross-functional teams.
• Take critical architectural decisions for the team whenever required to result in a successful product delivery.
• Collaborate with product ownership and management to set a technical roadmap for data ingestion to accomplish business goals.
• Manage data ingestion technical roadmap to ensure the success of data ingestion initiative.
• Responsible for the performance, reliability, and scalability of data ingestion processes and technology.
• Produce good quality code adhering to established coding standards and be a role-model to other team members.
• Design and develop frameworks, POCs and MVPs that can be used by other team members to build upon.
• Should foresee scalability issues and prevent/resolve them at the earliest opportunity. Call out any risks and redflags to Engineering Leadership and Product Management.
• Work following Agile development methodologies using various related tools, like JIRA.
• Drive technical excellence and high quality deliverables. Should constantly think for the future by building the right infrastructure at the right time.
• Provide guidance, career development and technical mentorship to team members.
• Lead and participate in planning, architecture, and design discussions and reviews.
• Collaborate with cross-functional teams for coordination, planning, design decisions, and reviews.

What makes you a great fit:

• Masters/Bachelors degree required in Computer Science/Engineering, Software Engineering or Equivalent discipline (EEE, ECE).
• 10+ years of total experience in Software Product Development with at least 5 years of architectural experience.
• 5 years of experience developing data ingestion frameworks and pipelines.
• Strong hands on experience in working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures, and integrated datasets using traditional data integration technologies such as ETL/ELT, Pushdown Otimization, Change data capture(CDC)/data replication, message-oriented data movement and upcoming data ingestion and integration technologies such as stream data integration in the cloud world.
• Built or utilized large-scale data pipelines and have experience with couple of the Big data technologies like Kafka, MapReduce, Hadoop, Spark, Flink, Airflow.
• Experience with the data stacks(DWHs/DLs) like Snowflake, Bigquery, Redshift, Azure data lake etc.
• Experience working in cloud native technologies like Kubernetes.
• Strong foundation in computer science fundamentals: data structures, algorithms, and coding. Strong analytical, problem solving, and troubleshooting skills.
• Must have architected complex projects for large scale SaaS product(s).
• Experience in developing products which handle large data sets.
• Prior microservices architecture experience in a complex enterprise software environment.
• Experience in designing and implementing web API services including service management aspects of orchestration, security, hosting and analytics.
• Strong object-oriented programming skills and good understanding of common design patterns and principles.
• Excellent understanding of the SDLC, preferably Agile and Test-driven methodologies.
• Acumen for mentoring and growing other team members.
• Strong experience in relational database and SQL.
• Experience with modern technologies like NoSQL databases, Kafka and distributed caches. Strong ability and eagerness to quickly learn new technologies.
• Excellent communication skills both verbal and written.
• Experience working with multiple functions including but not limited to Product Management, Program Management, Quality Assurance, UI/UX design teams, Documentation, Customer Success teams (including Support).
• Should be experienced in Software Engineering best practices including coding standards, code-reviews, Source Control, CI/CD, Testing, Security Standards, Compliance.
• Ability to handle ambiguity and comfortable working with minimal specifications.
• Is passionate about making a world-class software organization.
• Has experience architecting large-scale distributed platforms.
• Enjoys a fast-paced environment, working with a highly-talented team and shifting priorities.
• Has excellent problem solving and analytical skills.
• Is great at making data-driven design decisions using appropriate metrics.
• Is comfortable in explaining and evangelizing the designs to other stakeholders.
• Has the ability to build strong relationships with stakeholders and key partners.
• Has strong technical vision.
• Can stay abstract or detail oriented as the situation demands.
• Has demonstrated the ability of thinking big, bringing new ideas, building teams & infrastructure for the future.
• Learns quickly; must know when to listen, and when to take charge.