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ROLES AND RESPONSIBILITIES:

Standardization and Governance:

• Establishing and maintaining project management standards, processes, and methodologies.
• Ensuring consistent application of project management policies and procedures.
• Implementing and managing project governance processes.

Resource Management:

• Facilitating the sharing of resources, tools, and methodologies across projects.
• Planning and allocating resources effectively.
• Managing resource capacity and forecasting future needs.

Communication and Reporting:

• Ensuring effective communication and information flow among project teams and stakeholders.
• Monitoring project progress and reporting on performance.
• Communicating strategic work progress, including risks and benefits.

Project Portfolio Management:

• Supporting strategic decision-making by aligning projects with organizational goals.
• Selecting and prioritizing projects based on business objectives.
• Managing project portfolios and ensuring efficient resource allocation across projects.

Process Improvement:

• Identifying and implementing industry best practices into workflows.
• Improving project management processes and methodologies.
• Optimizing project delivery and resource utilization.

Training and Support:

• Providing training and support to project managers and team members.
• Offering project management tools, best practices, and reporting templates.

Other Responsibilities:

• Managing documentation of project history for future reference.
• Coaching project teams on implementing project management steps.
• Analysing financial data and managing project costs.
• Interfacing with functional units (Domain, Delivery, Support, Devops, HR etc).
• Advising and supporting senior management.

IDEAL CANDIDATE:

• 3+ years of proven experience in Project Management roles with strong exposure to PMO processes, standards, and governance frameworks.
• Demonstrated ability to manage project status tracking, risk assessments, budgeting, variance analysis, and defect tracking across multiple projects.
• Proficient in Project Planning and Scheduling using tools like MS Project and Advanced Excel (e.g., Gantt charts, pivot tables, macros).
• Experienced in developing project dashboards, reports, and executive summaries for senior management and stakeholders.
• Active participant in Agile environments, attending and contributing to Scrum calls, sprint planning, and retrospectives.
• Holds a Bachelor’s degree in a relevant field (e.g., Engineering, Business, IT, etc.).
• Preferably familiar with Jira, Azure DevOps, and Power BI for tracking and visualization of project data.
• Exposure to working in product-based companies or fast-paced, innovation-driven environments is a strong advantage.

Responsibilities:

• Must be able to write quality code and build secure, highly available systems.
• Assemble large, complex datasets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing datadelivery, re-designing infrastructure for greater scalability, etc with the guidance.
• Create datatools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Monitoring performance and advising any necessary infrastructure changes.
• Defining dataretention policies.
• Implementing the ETL process and optimal data pipeline architecture
• Build analytics tools that utilize the datapipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
• Create design documents that describe the functionality, capacity, architecture, and process.
• Develop, test, and implement datasolutions based on finalized design documents.
• Work with dataand analytics experts to strive for greater functionality in our data
• Proactively identify potential production issues and recommend and implement solutions

Skillsets:

• Good understanding of optimal extraction, transformation, and loading of datafrom a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Proficient understanding of distributed computing principles
• Experience in working with batch processing/ real-time systems using various open-source technologies like NoSQL, Spark, Pig, Hive, Apache Airflow.
• Implemented complex projects dealing with the considerable datasize (PB).
• Optimization techniques (performance, scalability, monitoring, etc.)
• Experience with integration of datafrom multiple data sources
• Experience with NoSQL databases, such as HBase, Cassandra, MongoDB, etc.,
• Knowledge of various ETL techniques and frameworks, such as Flume
• Experience with various messaging systems, such as Kafka or RabbitMQ
• Good understanding of Lambda Architecture, along with its advantages and drawbacks
• Creation of DAGs for dataengineering
• Expert at Python /Scala programming, especially for dataengineering/ ETL purposes

•   10+ years of work experience in IT with 5+ years in software development or application architecture and 3+ years in solutions architecture

•   Thorough understanding of cloud native architectures, microservice architecture design patterns, containers, container orchestration, DevOps practices and security

•   Professional experience in software engineering and architecture design

•   Proven experience developing well architected AWS cloud infrastructure and solutions

•   Experience in providing technical leadership and mentoring

•   In-depth understanding of current security best practices

•   Understand business analysis techniques and processes

•   3+ years of programming experience with JavaScript and/or TypeScript

•   Strong understanding of object-oriented programming

You should apply if you have —

1. 3 - 5 years of technical experience (you can count internships & freelance work towards this).
2. Proficiency in React (especially Hooks) and Typescript; experience in Node.js is nice to have.
3. Experience in profiling apps for performance.
4. A track record of writing accessible and detailed version-control commits, documentation and code reviews.
5. A strong ability to write clean, scalable, self-documenting & highly-testable code.
6. Very good problem-solving skills.

You'll be helping us with some of these challenges —

1. How do we keep building more features while keeping the code clean, as small as possible and highly performant?
2. How do we build a strong testing-first delivery cycle so we can ship code with greater confidence?

We're problem-solvers at heart, and we value data-driven decision-making. We believe in high-quality execution, crafting great user experiences, honest & transparent communication and enabling our people to thrive and be the best version of themselves.

The early engineering + product team includes folks from https://home.lynk.co.in/" target="_blank">Lynk,Zoho and https://www.kilobytetech.com/" target="_blank">Kilobyte, and we're hoping to build one of the best teams in the city; kind & compassionate, diverse and smart — one you can be proud for being a part of.

We're all generalists and prefer picking the right tool for the job. That said, we do use a lot of new & exciting technology.

Backend

• Golang for most services and Node.js (https://koajs.com/" target="_blank">Koa, https://github.com/lukeed/polka#polka" target="_blank">Polka) for a few
• gRPC for inter-service communication
• PostgreSQL

Frontend

• 100% TypeScript
• React v17 & https://nextjs.org/" target="_blank">Next.js v10
• https://github.com/pmndrs/zustand#readme" target="_blank">Zustand
• https://chakra-ui.com/" target="_blank">Chakra-UI
• https://www.framer.com/motion/" target="_blank">Framer Motion
• https://storybook.js.org/" target="_blank">Storybook
• https://maizzle.com/" target="_blank">Maizzle

Infra

• AWS (with extensive use of RDS, S3, ECS, SQS, SES & CloudWatch)
• Gitlab for version-control and CI/CD
• All apps built and shipped as Docker images
• Kubernetes for container orchestration
• https://www.honeybadger.io/" target="_blank">Honeybadger for error analytics & uptime monitoring