Posted:2 months ago| Platform:
Work from Office
Full Time
What can you expect? Must have had experience creating secure RESTful-based web services, one or more front end javascript libraries Hands on experience with AWS DevOps Must have experience creating secure webpages, and integrating security features into web applications Knowledge of some tuning MongoDB and/or PostGres for indexing and other database level optimization Some experience with APIGEE, DataDog, CI/CD pipeline, Kubernetes Proficient skills on front end applications using HTML5, Angular, CSS Must have practical utilization of modern frameworks and design patterns Previous hands-on working experience on a full stack application Must have experience setting up technical best practices. Must have had expertise in complex writing, reading, optimizing MongoDB aggregates or SQL queries Should have lead a team, with descent people management skills Be able to work hands-on. Worked in an Agile team We will count on you to: Ability to work closely with Data scientists and understand the needs and create and implement the technology solution Work along with developers, Data engineers to ensure successful project A team player who is proud when other team members succeed Involved in critical decisions but not all decisions Able to empower other team members to make decisions Available and approachable, a mediator of technical decisions What you need to have: Min, overall 8+ Years in total of experience in developing full stack applications Min 2+ years in leading teams technically BE/ BTECH/ MCA/ M TECH What makes you stand out? Ability to work on AI solutions and Models & Understanding of LLMs and Sage Maker Knowledge and skills in Python Excellent programming attitude on data structures and algorithms, must be able to write superior quality code with excellent naming conventions Ability to help the stakeholders foresee a future problems with the solution for end users and help avoid the same basis expert suggestions
Upload Resume
Drag or click to upload
Your data is secure with us, protected by advanced encryption.
Mumbai, Bengaluru, Gurgaon
INR 32.5 - 37.5 Lacs P.A.
Chennai, Pune, Mumbai, Bengaluru, Gurgaon
INR 35.0 - 42.5 Lacs P.A.
Chennai, Pune, Delhi, Mumbai, Bengaluru, Hyderabad, Kolkata
INR 8.0 - 12.0 Lacs P.A.
Pune, Bengaluru, Mumbai (All Areas)
INR 0.5 - 0.7 Lacs P.A.
INR 2.5 - 5.5 Lacs P.A.
INR 3.0 - 4.5 Lacs P.A.
Bengaluru
INR 3.0 - 3.0 Lacs P.A.
Bengaluru
INR 3.5 - 3.75 Lacs P.A.
INR 2.5 - 3.0 Lacs P.A.
INR 4.0 - 4.0 Lacs P.A.