Technical Lead

We are looking to expand our existing Python team across our offices in Surat. This position is for SDE-1 - Junior Software Engineer. 

The requirements are as follows:

1) Familiar with the Django REST API Framework.

2) Experience with the FAST API framework will be a plus

3) Strong grasp of basic python programming concepts (We do ask a lot of questions on this on our interviews)

4) Experience with databases like MongoDB , Postgres , Elasticsearch , REDIS will be a plus

5) Experience with any ML library will be a plus.

6) Familiarity with using git , writing unit test cases for all code written and CI/CD concepts will be a plus as well.

7) Familiar with basic code patterns like MVC.

8) Grasp on basic data structures.

You can contact - nine three one six one two zero one three two

Job Title: Engineering Lead

Role Overview:

We are looking for an Engineering Lead to take end-to-end ownership of technical delivery, design, architecture, and quality for our multi-customer SaaS product. You will lead and mentor the engineering team, drive scalable design and high-quality delivery, manage releases across customer environments, and ensure the stability and performance of the product in production.

Key Responsibilities:

·        Delivery & Release Management: Plan and deliver product features and customer-specific releases on time with high quality, ensuring operational readiness and stability across environments.

·        Technical Design & Architecture: Lead technical design and high-scale architecture for new and existing modules, ensuring scalability, performance, and maintainability.

·        Team Management: Mentor and guide engineers, ensure clarity in priorities, unblock challenges, and foster a culture of ownership and quality within the team.

·        Requirement to Delivery: Work with product and customer teams to understand requirements, translate them into designs and implementation plans, and track them through to delivery.

·        Product Quality: Establish and maintain engineering best practices, code reviews, automated testing, and CI/CD pipelines to ensure high product quality and reliability.

·        Troubleshooting & Support: Lead the team in debugging complex issues in development and production, ensuring minimal downtime and strong customer satisfaction.

·        Hands-on Contribution: Actively contribute technically where needed, providing architectural guidance and coding support aligned with the team’s stack.

Requirements:

·        Experience: 8–12 years in software engineering with at least 3+ years in a lead role.

·        Proven experience in designing scalable, high-performance architectures and technical solutions.

·        Experience delivering multi-customer SaaS product releases, including phased and customer-specific configurations.

·        Strong track record of ensuring product quality and stability through structured processes, testing, and monitoring.

·        Ability to troubleshoot complex issues and guide teams towards resolution.

·        Experience in mentoring and managing engineering teams to drive aligned delivery and high performance.

·        Hands-on experience with your relevant tech stack (e.g., Python, Django, Angular, AWS, Docker, Redis, RabbitMQ).

·        Excellent communication and collaboration skills with Product, QA, and Customer Support teams.

·        Bachelor’s or Master’s degree in Engineering or related field.

Overview:

The Senior Operations Executive plays a pivotal role in overseeing the daily operations of the organization. He/she is responsible for ensuring smooth functioning across various departments, optimizing processes, and implementing strategies to enhance efficiency and productivity. This position will report directly to the Operations Manager and collaborate with department heads to achieve organizational goals. 

Key Responsibilities: 

Strategic Planning:  

• Develop and implement operational strategies aligned with the organization's objectives.  
• Identify opportunities for process improvement and cost optimization. 

Process Optimization:  

• Analyse existing operational processes and identify opportunities for improvement. 
• Develop and implement strategies to streamline workflows and enhance efficiency. 
• Establish and maintain standard operating procedures (SOPs) 

Cross-Functional Collaboration:  

• Collaborate with various departments to understand their support needs. 
• Address any operational issues that may arise and work towards resolution. 

Technology Integration: 

• Identify and evaluate new technologies or tools that can improve operational processes. 
• Oversee the implementation of new systems and ensure proper training for the team. 

Budget Management:  

• Assist in the development and management of the operations support budget. 
• Monitor expenditures and implement cost-saving measures where possible. 

Managing Operational teams:  

• Managing functional teams like technical operations, Legal, Business operations, etc, and reviewing daily/monthly planning and goals. 

Vendor Management:  

• Identify and evaluate potential vendors for operational support services. 
• Negotiate contracts and agreements to ensure favourable terms for the organization. 
• Collaborate with vendors to resolve issues and improve service delivery. 

Qualifications: 

• Must have:
• Engineering (Software/IT/Computer) +2 years of work experience + MBA (Operations/ Business Management) +3 years of experience 
• Certification in project management or operations management (e.g., PMP, Six Sigma). 
• Proficiency in MS Tools, JIRA, Atlassian, Confluence, MIRO (or any similar tool) 
• Proven experience in operations management or a similar role. 
• Strong leadership and team management skills. 
• Excellent analytical and problem-solving abilities. 
• Proficiency in project management tools and software. 
• Sound knowledge of industry regulations and compliance standards. 

Additional Requirements: 

• Flexibility to adapt to changing priorities and work in a fast-paced environment. 
• Ability to make sound decisions under pressure. 
• Commitment to maintaining confidentiality and integrity. 
• Willingness to travel occasionally as and when required. 

Benefits and perks: 

• Progressive leave policy for effective work-life balance. 
• Training and Certification budget for your professional growth and development. 
• Company-sponsored workcation once a year. 
• Multicultural peer groups and supportive workplace policies. 
• Celebrate monthly team events and fun-filled outings. 

Selected intern's day-to-day responsibilities include:

1. Conducting market research and analysis to identify potential business opportunities

2. Creating and delivering presentations to potential clients and partners

3. Identifying and contacting potential clients and partners, and following up with leads

4. Assisting with creating sales collateral, such as brochures and presentation

5. Maintaining and updating customer and prospect databases, tracking key metrics, and reporting on performance

6. Staying current with industry trends and best practices, attending conferences and networking events, and sharing knowledge and insights with the team

7. Completing administrative tasks as needed, such as scheduling meetings, organizing files, and managing project timelines

• Ability to work in an existing codebase and collaborate with a diverse team
• Experience in building enterprise-scale backend REST APIs with frameworks such as Nest.js & Express.js using an API-first paradigm
• Intimate knowledge of crafting highly performant database queries
• Hands-on experience implementing relational database structures, including tables, indexes, views, etc.
• A mindset towards building systems for the cloud and DevOps fundamentals
• Working knowledge of cloud infrastructure services is good to have. If not then willingness to learn should be there.
• Focus towards building security, performance, and scalability into services from the beginning
• Experience with debugging code and troubleshooting technical issues in order to craft appropriate solutions

Job Description:

We are looking for a Big Data Engineer who have worked across the entire ETL stack. Someone who has ingested data in a batch and live stream format, transformed large volumes of daily and built Data-warehouse to store the transformed data and has integrated different visualization dashboards and applications with the data stores.    The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them.

Responsibilities:

• Develop, test, and implement data solutions based on functional / non-functional business requirements.
• You would be required to code in Scala and PySpark daily on Cloud as well as on-prem infrastructure
• Build Data Models to store the data in a most optimized manner
• Identify, design, and implement process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Implementing the ETL process and optimal data pipeline architecture
• Monitoring performance and advising any necessary infrastructure changes.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Proactively identify potential production issues and recommend and implement solutions
• Must be able to write quality code and build secure, highly available systems.
• Create design documents that describe the functionality, capacity, architecture, and process.
• Review peer-codes and pipelines before deploying to Production for optimization issues and code standards

Skill Sets:

• Good understanding of optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘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 data size (PB).
• Optimization techniques (performance, scalability, monitoring, etc.)
• Experience with integration of data from 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
• Creation of DAGs for data engineering
• Expert at Python /Scala programming, especially for data engineering/ ETL purposes