Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description How Will You Make an Impact

Seeking a strategic technical associate with expertise in process innovation, product development, AI integration, and platform engineering.

This position encompasses more than just engineering; it demands systems thinking, technical proficiency, and the capacity to lead implementation teams while crafting vision and adoption strategy.

Roles & Responsibilities:

• Hands-on individual contributor of a team of highly skilled software developers, testers and domain experts-ensuring great execution of Agile/SCRUM processes and repeatable, predictable, and high-quality delivery of software solutions.

• Participate in and lead the design and development of new software and/or extensive software revisions.

• Work with the product owner to define technical requirements and priorities then develop user stories, designs, and development tasks to be delegated to the team. Be responsible for a successful conclusion to sprints and releases.

• Identify areas to collaborate on across the different domains in order to drive consistency, technology and process sharing, as well as code re-use.

• Represent the team in cross-organisational development forums as well as customer requirements gathering and software validation and training sessions.

• Rely on extensive experience and judgment to understand sophisticated problems and resolve them efficiently, Use prior knowledge and experience to provide functional and technical support and leadership to colleagues.

• Participate in training and orienting new software engineers as they join the team.

Candidate Requirement: Education & Experience levels:

Bachelors of Engineering/Computer Science or Master degree or equivalent with 8+ years of overall Experience.

Skills Knowledge & Experience:

• Strong AWS expertise, including S3, Lake Formation, Glue, Athena, Redshift, EC2, Lambda, Step Functions, IAM (roles, policies, cross-account access)

• Very comfortable and experienced with designing object oriented software and services deployed in a client server or (preferably) cloud setting.

• 5 + years of solid experience building and operating data lakes at scale.

• 3 + years of hands-on experience with ML training and inference pipelines.

• 3 + years of proficiency in Python (data pipelines, ML tooling).

• 5 + years of experience with Java-based backend services.

• 2+ years of experience with Angular/Vue for frontend applications.

• Experience building data/ML apps using Streamlit.

• Data modeling and partitioning strategies

• Experience with Feature engineering workflows

• Experience with Model lifecycle management

• Experience supporting data science and research teams.