Staff/Principal Software Engineer

2 weeks ago


Mumbai, India Accrete AI Full time

Kindly note that 10+ years of professional experience is required for the role.


We are a leading product development company specializing in GenAI and ML-powered solutions.


We are seeking a talented and experienced Technical Architect (Staff/Principal Engineer - Application) to join our dynamic team.


Responsibilities:


Technical leadership:


● Collaborate with the Engineering Manager, Product Managers and cross-functional teams to establish technical vision and drive product development efforts.

● Lead and mentor a team of engineers, providing technical guidance, coaching, and support to foster professional growth and development

● Lead design and code reviews to ensure high-quality code and adherence to best practices


Technical Assessment:


● Conduct technical assessments of existing systems, technologies, and architectures to identify areas for improvement and optimization.

● Stay up-to-date with emerging technologies and industry trends, and recommend innovations to enhance our products and processes.

● Provide technical expertise and guidance in evaluating third-party libraries, frameworks, and services for integration into our solutions.


Project Management:


● Coordinate with engineering managers and developers to ensure alignment between technical architecture and project timelines and milestones.

● Provide technical leadership during project planning, execution, and delivery phases.

● Participate in project progress meetings and identify potential technical risks or roadblocks, providing mitigation strategies as needed.


Qualifications:


● 10+ years of experience in software engineering, with a focus on architecture and design.

● Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

● Hands-on experience with cloud platforms such as AWS (Lambda, S3, EC2, RDS), Azure (Azure Functions, Blob Storage, Virtual Machines), or GCP (Cloud Functions, Cloud Storage, Compute Engine).

● Proficiency in Python and related libraries/frameworks such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.

● Strong knowledge of data engineering technologies including ETL tools (Apache Spark, Apache Airflow, AWS Glue, Google Dataflow), data warehouses (Amazon Redshift, Google BigQuery, Snowflake), and big data platforms (Hadoop, Apache Kafka, Apache HBase).

● Experience with integration tools and technologies such as Apache Kafka, Apache NiFi, MuleSoft, or AWS Step Functions.

● Familiarity with asynchronous and synchronous integration patterns and frameworks (RESTful APIs, GraphQL, WebSockets).

● Proficiency in backend and server-side technologies such as:

○ Web frameworks: Flask, Django

○ Messaging protocols: HTTP, AMQP

○ Database systems: SQL (PostgreSQL, MySQL, Oracle), NoSQL (MongoDB, Cassandra, DynamoDB)

○ Caching systems: Redis, Memcached

○ Serverless computing: AWS Lambda, Azure Functions

○ Containerization and orchestration: Docker, Kubernetes

● Knowledge of microservices architecture and design principles.


Career Progression:


We value professional growth and development of our employees. As a Staff/Principal Engineer - Application, you will have access to a variety of career advancement opportunities and growth within the organization. We provide ongoing training, mentorship, and opportunities to take on leadership roles within your team and work with leaders across departments.


Why Join Us:


● Innovative Environment: Be part of a team that's at the forefront of technological innovation, utilizing GenAI and ML to create groundbreaking solutions.

● Collaborative Culture: Work in a collaborative environment where your ideas are valued, and you have the opportunity to make a real impact.

● We provide a flexible work environment

● Professional Growth: We're committed to your professional growth and development, offering opportunities for learning and advancement.

● Competitive Compensation: Enjoy a competitive compensation and benefits package, including medical insurance.



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