Staff Engineer

Posted:
10/16/2025, 9:27:02 PM

Location(s):
Bengaluru, Karnataka, India ⋅ Karnataka, India

Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior

Field(s):
AI & Machine Learning ⋅ Software Engineering

Workplace Type:
Hybrid

Work Flexibility: Hybrid or Onsite

Who we want:
Stryker is looking for a talented, hands-on Staff Engineer (Backend Developer with Spring Boot) to join our growing organisation. You will be responsible for the design and implementation of algorithms and modules that work with large datasets and used for various speech interactions between the Stryker end-points and front end applications in a hybrid cloud architecture. These will be the building block for next generation Patient care software solutions.

What you will do:
Technical Responsibilities:

  • Design and implement fuzzy matching algorithms to handle various types of audio data comparison, such as string matching, phonetic matching, data deduplication, and search.
  • Develop and optimize database queries and operations for handling large datasets. Ensure the scalability, reliability, and performance of database solutions, particularly in high-volume environments.
  • Work with databases such as MySQL, PostgreSQL, or NoSQL to manage and manipulate large datasets, ensuring efficient indexing, searching, and data retrieval.
  • Write efficient algorithms to process large volumes of data, focusing on performance, memory optimization, and reducing latency.
  • Integrate AI-based models and services, such as speech recognition or machine learning algorithms, into existing systems, ensuring seamless interaction with the database and data processing components.
  • Partnering effectively with product owners and key internal stakeholders to ascertain product requirements.
  • Practicing good engineering methodologies within an Agile development framework.
  • Actively engaging in continuous learning through peer review and professional development opportunities.
  • Ensuring product quality by unit test, functional, and system tests in collaboration with automation engineers.
  • Documenting processes, designs, and product capabilities as required.
  • Support Voice of Customer sessions internally and with clinicians

Competencies:

  • Track record of building and delivering solutions based on a solid understanding of customer needs.
  • Results-driven, hands-on approach to the full product life cycle from architecture development to product implementation.
  • Strong problem-solving and analytical skills, with a focus on efficiency and scalability.
  • Excellent troubleshooting and debugging, communications, and documentation skills.
  • Resourceful and ability to work with large-scale systems and manage large datasets efficiently
  • Proficient in designing and developing optimized algorithms, with expertise in large datasets.
  • Additionally, hands-on experience with AI/ML frameworks and integrating AI models into production environments would be considered a significant asset, further enhancing the candidate's suitability for the role.

Minimum Qualifications (Required):
• Bachelor's degree in Software Engineering/ Computer Science or related discipline & 4+ years of work experience

Preferred Qualifications (Strongly desired):
Technical Skills:

  • Proficient in building robust back-end applications using Java (including frameworks like Spring Boot or Hibernate).
  • Solid experience with fuzzy matching techniques and algorithms such as Levenshtein Distance, Jaccard Similarity, or Soundex.
  • Familiarity with search algorithms or technologies like Elasticsearch or Solr for indexing and querying large datasets.
  • Expertise in database optimization, including query optimization, indexing, and database design for high-performance data retrieval (experience with MySQL, PostgreSQL, MongoDB, or other NoSQL databases)
  • Experience with cloud platforms and services (Azure preferred) for data storage and pipeline automation
  • Knowledge of distributed systems and data storage solutions designed for scalability..
  • Knowledge of API integration, especially integrating AI/ML models or speech recognition tools, is a plus.
  • Familiarity with cloud platforms such as AWS, GCP, or Azure, and their associated services.
  • Familiarity with containerization tools (e.g., Docker) and orchestration platforms (e.g., Kubernetes) is a plus.

Travel Percentage: 10%