Member of Technical Staff -Golang Developer

Position: Lead Backend Engineer

Location: Remote

Experience: 10+ Years

Budget: 1.7 LPM

Employment Type: [Contract]

Required Skills & Qualifications:

• 10+ years of proven backend engineering experience.
• Strong proficiency in Python.
• Expertise in SQL (Postgres) and database optimization.
• Hands-on experience with OpenAI APIs.
• Strong command of FastAPI and microservices architecture.
• Solid knowledge of debugging, troubleshooting, and performance tuning.

Nice to Have:

• Experience with Agentic Systems or ability to quickly adopt them.
• Exposure to modern CI/CD pipelines, containerization (Docker/Kubernetes), and cloud platforms (AWS, Azure, or GCP).

What you’ll do:

• Work closely with the founders and the team to plan, design, and build the next iterations of Dyte’s video-audio APIs.
• You will collaborate closely with other engineers of the team and lend your help in your areas of expertise.
• Build micro-services to support new functionality.
• Build best practices to improve the current API workflow.
• Help us scale our current micro-service framework to support a multi cloud, multi region environment.
• Work closely with the media and the infra team to optimise the performance and reduce the latency of our API framework.
• Help design and develop the next iteration of our observability platform.
• Mentor and hire Junior Developers.
• Ensure that our customer’s experience is the best it can be. You might have to interact with the dev team of our clients.

Who you are:

• 5+ years of experience working as a software engineer in a fast paced environment.
•  Well versed with Golang or Javascript.
• You are intensely curious and passionate about the prospect of diving deep into multiple technologies, platforms, and problem spaces, even if they are currently unfamiliar.
• You embrace uncertainty. Our space is a rapidly growing one and specifications are continuously changing.
• You care about the user experience and know-how to build user-friendly web applications.
• You have experience with continuous delivery. Experience with AWS is a bonus.
• You have a working understanding of object-oriented and functional programming paradigms.
• You care about web technologies, exploring data, and software design (and video calls!).
• You have excellent analytical and problem-solving skills, and can communicate your ideas.
• Experience with WebRTC, iOS, Android, or C++ development is a bonus.
• A degree in Computer Science or a similar area are bonuses.

Our Perks:

1. Competitive Salary
2. ESOPs
3. Medical Insurances
4. Friendly leaves policy
5. 100% Remote Option

The Sr. Analytics Engineer would provide technical expertise in needs identification, data modeling, data movement, and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective.

Understands and leverages best-fit technologies (e.g., traditional star schema structures, cloud, Hadoop, NoSQL, etc.) and approaches to address business and environmental challenges.

Provides data understanding and coordinates data-related activities with other data management groups such as master data management, data governance, and metadata management.

Actively participates with other consultants in problem-solving and approach development.

Responsibilities :

Provide a consultative approach with business users, asking questions to understand the business need and deriving the data flow, conceptual, logical, and physical data models based on those needs.

Perform data analysis to validate data models and to confirm the ability to meet business needs.

Assist with and support setting the data architecture direction, ensuring data architecture deliverables are developed, ensuring compliance to standards and guidelines, implementing the data architecture, and supporting technical developers at a project or business unit level.

Coordinate and consult with the Data Architect, project manager, client business staff, client technical staff and project developers in data architecture best practices and anything else that is data related at the project or business unit levels.

Work closely with Business Analysts and Solution Architects to design the data model satisfying the business needs and adhering to Enterprise Architecture.

Coordinate with Data Architects, Program Managers and participate in recurring meetings.

Help and mentor team members to understand the data model and subject areas.

Ensure that the team adheres to best practices and guidelines.

Requirements :

- Strong working knowledge of at least 3 years of Spark, Java/Scala/Pyspark, Kafka, Git, Unix / Linux, and ETL pipeline designing.

- Experience with Spark optimization/tuning/resource allocations

- Excellent understanding of IN memory distributed computing frameworks like Spark and its parameter tuning, writing optimized workflow sequences.

- Experience of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Redshift, Bigquery, Cassandra, etc).

- Familiarity with Docker, Kubernetes, Azure Data Lake/Blob storage, AWS S3, Google Cloud storage, etc.

- Have a deep understanding of the various stacks and components of the Big Data ecosystem.

- Hands-on experience with Python is a huge plus