Software Engineer

About Tamasha

Tamasha is building next-generation live, social, and real-time consumer

experiences across gaming, audio, video, and interactive platforms. Our backend

systems power millions of real-time interactions, low-latency data flows, and high

throughput event-driven services.

Role Overview

As a Software Development Engineer III (Backend), you will operate as a senior

individual contributor owning mission-critical backend systems. You will design

scalable architectures, solve complex distributed systems problems, and influence

engineering standards across teams.

Roles & Responsibilities

 Own backend systems end-to-end, from design and implementation to

production reliability and long-term evolution.



Design scalable, fault-tolerant, and low-latency backend architectures for real

time and event-driven use cases.



Lead system design decisions including data models, service boundaries, async

workflows, and scalability strategies.



Build and operate high-throughput services handling millions of events, requests,

or messages per day.

 Own reliability metrics such as p95/p99 latency, uptime, error budgets, and

participate in incident resolution and post-mortems.

Drive architectural migrations including monolith to microservices and

synchronous to asynchronous flows.

 Collaborate with product, frontend, and data teams to translate complex

requirements into robust backend solutions.



Improve developer productivity by contributing to internal platforms, tooling,

CI/CD pipelines, and coding standards.



Mentor engineers through design reviews, code reviews, and technical guidance

without direct people management.



Proactively identify performance bottlenecks, cost inefficiencies, and scalability

risks and resolve them at the system level.

Tech Stack

Backend: Node.js (NestJS / Express), Golang, Java

Databases: PostgreSQL, MySQL, MongoDB, Redis

Messaging & Async: Kafka, SQS, RabbitMQ, Pub/Sub

Real-time: WebSockets, Server-Sent Events

Cloud & Infra: AWS / GCP, Docker, Kubernetes

Observability: Prometheus, Grafana, OpenTelemetry

What We’re Looking For

• 5+ years of backend engineering experience

• Proven ownership of production systems at scale

• Strong understanding of distributed systems and async architectures

• Experience handling production incidents and system reliability

• Ability to independently design and evolve backend systems

bout the Role

We are seeking an experienced Python Data Engineer with a strong foundation in API and basic UI development. This role is essential for advancing our analytics capabilities for AI products, helping us gain deeper insights into product performance and driving data-backed improvements. If you have a background in AI/ML, familiarity with large language models (LLMs), and a solid grasp of Python libraries for AI, we’d like to connect!

Key Responsibilities

•   Develop Analytics Framework: Build a comprehensive analytics framework to evaluate and monitor AI product performance and business value.

•   Define KPIs with Stakeholders: Collaborate with key stakeholders to establish and measure KPIs that gauge AI product maturity and impact.

•   Data Analysis for Actionable Insights: Dive into complex data sets to identify patterns and provide actionable insights to support product improvements.

•   Data Collection & Processing: Lead data collection, cleaning, and processing to ensure high-quality, actionable data for analysis.

•   Clear Reporting of Findings: Present findings to stakeholders in a clear, concise manner, emphasizing actionable insights.

Required Skills

•   Technical Skills:

o   Proficiency in Python, including experience with key AI/ML libraries.

o   Basic knowledge of UI and API development.

o   Understanding of large language models (LLMs) and experience using them effectively.

•   Analytical & Communication Skills:

o   Strong problem-solving skills to address complex, ambiguous challenges.

o   Ability to translate data insights into understandable reports for non-technical stakeholders.

o   Knowledge of machine learning algorithms and frameworks to assess AI product effectiveness.

o   Experience in statistical methods to interpret data and build metrics frameworks.

o   Skilled in quantitative analysis to drive actionable insights.

• Coding and creating functional web applications and optimizing code for increasing response time and efficiency.
• Coordinating with front-end developers and providing server-side algorithms of user-facing web application elements.
• Analyzing the goals and requirements, handling bugs and errors and providing solutions for the same.
• Interacting with the database for storing data and ensuring that every user has access to what they search.

• Accomplishing the projects and goals within the deadline.
• Managing APIs that are executed across the devices.
• Participating in defining the architecture of the system.

Required skills

• Proven knowledge of front-end technologies, such as Angular, React, HTML, CSS, and JavaScript will be preferred.
• In-depth knowledge of PHP and related frameworks. Knowledge of Ruby, Python, NodeJs, and Java will be an added advantage.
• Good Communication, Analytical, Logical, and Leadership skills.
• Knowledge of front-end technologies such as Angular, React, HTML, CSS, and JavaScript will be preferred.
• Ability to manage a hosting environment along with database administration such as MySQL, Oracle.
• Excellent knowledge of APIs (REST, SOAP) and Web services.
• Capable of scaling applications to handle the load changes.
• Knowledge of version control, such as GIT.
• Knowledge of accessibility and security compliance.

Key Responsibilities:
● Node.js Developer responsible for managing the interchange of data between the server and the users.
● Your primary focus will be the development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end.
● You will also be responsible for integrating the front-end elements built by your co-workers into the application. Therefore, a basic understanding of front-end technologies is necessary as well.
● Strong proficiency with JavaScript
● Knowledge of Node.js core and frameworks Express, StrongLoop, koa, hapi etc
● Understanding the nature of asynchronous programming and its quirks and workarounds
● Good understanding of server-side templating languages
● Good understanding of server-side CSS preprocessors
● Basic understanding of front-end technologies, such as HTML5, and CSS3
● Understanding accessibility and security compliance
● Integration of multiple data sources and databases into one system
● Understanding fundamental design principles behind a scalable application
● Understanding differences between multiple delivery platforms, such as mobile vs. desktop, and optimizing output to match the specific platform
● Creating database schemas that represent and support business processes
● Implementing automated testing platforms and unit tests
● Proficient understanding of code versioning tools, such as Git.

Technical Skills:
● Expert knowledge of key Web technologies as HTML5, CSS3,
● Expert in JavaScript / AJAX, NodeJS, React.
● Expert knowledge of OO Analysis and Design,
● Expert on Design Patterns and Frameworks as NodeJS, React.
● Knowledge of Agile methodologies (Scrum).
Soft Skills:
● Self-motivation to work independently and strong work ethic.
● Ability to work in a team, and adapt to new and evolving processes.
● Flexibility and adaptable
● Deep experience with Agile

Must Haves

• Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
• 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systems.
• 4+ years’  work experience in  software development
• BS degree or higher in Computer Science, Engineering or related field
• Understanding of operating system fundamentals (Linux)
• Understanding of scalable computing systems, software architecture, data structures, and algorithms
• Knowledge of professional software engineering best practices for the full software development life cycle
• Strong verbal and written communication skills
• Strong analytical skills, with excellent problem solving abilities
• Working experience with Kubernetes
• Experienced working with distributed databases at scale

Good to haves

• Experience in developing software using AWS native services & technologies.
• Experience taking a lead role in building and operating scalable distributed systems
• Experience in Agile/SCRUM enterprise-scale software development
• Familiar with building secure software using modern security principles
• Demonstrated ability to achieve goals in a highly innovative and fast-paced environment

Why us

We're hiring a set of highly skilled, enthusiastic, and passionate people who thrive in a high-growth environment. We believe the best way to grow is to give everyone the opportunity to pursue their interests. At Lucidity, you have complete freedom to work on projects that interest you. Plus, with benefits like flexible hours, company offsites, unlimited leaves, we ensure you enjoy the journey as much as we do. We are also offering healthy founding team ESOP's.

Job Summary:

• Willingness to work on highly scalable cloud-native solutions based on microservices.
• Quickly learn the technologies and deliver using the same.
• Take complete ownership of the customer requirements.
• Motivated to deliver world-class quality.
• Inclined to bring new ways of thinking, working and providing solutions.
• Drive the concept of quality into everybody and have a zero-tolerance towards bad quality.

• Understand requirements from product management, customer and able to comprehensively break this down to manageable tasks.

Experience:

● 3-9 years of development experience.

Technical Skills:

Mandatory:

• Java - Advanced concepts concurrency, reflection, lambda, Java Springboot, Spring security,
• Actuator/Prometheus/Grafana/Servo (metrics),
• EFK/ELK stack (log analysis)
• OpenAPI/Swagger (documentation)
• RDBMS (PostgreSQL, MySQL, Maria or any other)
• NoSQL (Anyone of Mongo DB, Redis, Cassandra, Neo4J or other DBs)
• Automated unit tests/e2e tests (JUnit, TestNG, RestAssured etc)
• CI/CD pipelines (Jenkins, Sonar, Maven/Gradle etc)

Optional: (But highly recommended)

• NewSQL DB (TiDB, CockroachDB)
• AMQP/RabbitMQ
• Kafka
• Docker
• Kubernetes