Head of Engineering/Senior Product Manager

Key Responsibilities

Technical Leadership

• Lead the design and implementation of scalable, high-performance modules and APIs

• Architect robust solutions utilizing PHP (Yii framework), Vue.js, CSS, HTML, and JavaScript

• Demonstrate advanced expertise in SQL development and optimization across PostgreSQL and

AWS Aurora environments

• Execute comprehensive query optimization and database performance tuning initiatives

• Design and implement efficient data access patterns and database architectures

• Establish and enforce coding standards, best practices, and development methodologies

• Drive technical decision-making for feature development, system enhancements, and

infrastructure improvements

• Conduct comprehensive code reviews and ensure delivery of production-ready solutions

Team Management & Mentoring

• Lead and mentor a team of 5-10 fullstack developers

• Foster a collaborative, high-performance development culture

• Provide technical guidance and professional development opportunities for team members

• Facilitate knowledge sharing and cross-training initiatives

• Coordinate with cross-functional teams including Product, QA, and DevOps

Product Development

• Drive core product development from conception to deployment

• Manage critical issue resolution and system maintenance

• Build reusable code libraries and establish development frameworks

• Ensure optimal application performance, security, and scalability

• Collaborate with stakeholders to translate business requirements into technical solutions

Lead Software Engineer

Process & Quality Assurance

• Implement and optimize Agile development methodologies

• Drive technical project planning and delivery timelines

• Ensure comprehensive documentation and knowledge management

• Monitor system performance and implement proactive improvements

Required Qualifications

Experience & Background

• 12+ years of overall software development experience

• 8-10+ years of hands-on experience with PHP, preferably using Yii framework or similar MVC

frameworks

• 3+ years of technical leadership or team lead experience

• Proven track record in fullstack development with significant contributions to web and backend

systems

Technical Expertise

• Expert-level proficiency in Object-Oriented Programming (OOP), PHP, and JavaScript

• Advanced experience with Vue.js (Vue 2/3, Vuex, Vue Router) and modern frontend

development practices

• Deep understanding of SQL and database design principles

• Production experience with PostgreSQL and complex database operations

• Proficient in version control systems (Git/GitHub) and collaborative development workflows

Leadership & Soft Skills

• Demonstrated ability to lead technical teams and drive project deliveries

• Excellent communication and interpersonal skills

• Strong analytical and problem-solving capabilities

• Experience with Agile/Scrum methodologies and project lifecycle management

• Ability to work independently while maintaining strong collaboration with distributed teams

Preferred Qualifications

• Extensive reporting and analytics experience with complex data visualization and dashboard

development

• Proven experience working with large datasets (millions of records) and optimizing query

performance

• Advanced SQL expertise including complex joins, stored procedures, window functions, and

query optimization

• Experience with reporting services such as SSRS, Crystal Reports, Tableau, Power BI, or similar

business intelligence tools

Work Location

Hyderabad, India - On-site position with flexible working arrangements to accommodate both India and onsite teams

We are hiring an SAP PP Consultant to manage and support Production Planning (PP) processes including MRP, BOM, routing, capacity planning, and production orders. The role includes configuration, integration, and user support.

Project Overview

Be part of developing "Fenrir Security" - a groundbreaking autonomous security testing platform. We're creating an AI-powered security testing solution that integrates with an Electron desktop application. This contract role offers the opportunity to build cutting-edge autonomous agent technology for security testing applications.

Contract Details

• Duration: Initial 4-month contract with possibility of extension
• Work Arrangement: Remote with regular online collaboration
• Compensation: Competitive rates based on experience (₹1,00,000-₹1,80,000 monthly)
• Hours: Flexible, approximately 40 hours weekly

Role & Responsibilities

• Develop the core autonomous agent architecture for security testing
• Design and implement the agent's planning and execution capabilities
• Create natural language interfaces for security test configuration
• Build knowledge representation systems for security testing methodologies
• Implement security vulnerability detection and analysis components
• Integrate autonomous capabilities with the Electron application
• Create learning mechanisms to improve testing efficacy over time
• Collaborate with security expert to encode testing approaches
• Deliver functional autonomous testing components at regular milestones
• Participate in technical planning and architecture decisions

Skills & Experience

• 3+ years of AI/ML development experience
• Strong background in autonomous agent systems or similar AI architectures
• Experience with LLM integration and prompt engineering
• Proficiency in Python and relevant AI/ML frameworks
• Knowledge of natural language processing techniques
• Understanding of machine learning approaches for security applications (preferred)
• Ability to work independently with minimal supervision
• Strong problem-solving abilities and communication skills

Why Join Us

• Work at the cutting edge of AI and cybersecurity technology
• Flexible working arrangements and competitive compensation
• Opportunity to solve novel technical challenges
• Potential for equity or profit-sharing in future funding rounds
• Build portfolio-worthy work in an innovative field

Selection Process

1. Initial screening call
2. Technical assessment (paid task)
3. Final interview with founder
4. Contract discussion and onboarding

Sr. Data Engineer (Data Warehouse-Snowflake)

Experience: 5+yrs

Location: Pune (Hybrid)

As a Senior Data engineer with Snowflake expertise you are a subject matter expert who is curious and an innovative thinker to mentor young professionals. You are a key person to convert Vision and Data Strategy for Data solutions and deliver them. With your knowledge you will help create data-driven thinking within the organization, not just within Data teams, but also in the wider stakeholder community.

Skills Preferred

• Advanced written, verbal, and analytic skills, and demonstrated ability to influence and facilitate sustained change. Ability to convey information clearly and concisely to all levels of staff and management about programs, services, best practices, strategies, and organizational mission and values.
• Proven ability to focus on priorities, strategies, and vision.
• Very Good understanding in Data Foundation initiatives, like Data Modelling, Data Quality Management, Data Governance, Data Maturity Assessments and Data Strategy in support of the key business stakeholders.
• Actively deliver the roll-out and embedding of Data Foundation initiatives in support of the key business programs advising on the technology and using leading market standard tools.
• Coordinate the change management process, incident management and problem management process.
• Ensure traceability of requirements from Data through testing and scope changes, to training and transition.
• Drive implementation efficiency and effectiveness across the pilots and future projects to minimize cost, increase speed of implementation and maximize value delivery

Knowledge Preferred

• Extensive knowledge and hands on experience with Snowflake and its different components like User/Group, Data Store/ Warehouse management, External Stage/table, working with semi structured data, Snowpipe etc.
• Implement and manage CI/CD for migrating and deploying codes to higher environments with Snowflake codes.
• Proven experience with Snowflake Access control and authentication, data security, data sharing, working with VS Code extension for snowflake, replication, and failover, optimizing SQL, analytical ability to troubleshoot and debug on development and production issues quickly is key for success in this role.
• Proven technology champion in working with relational, Data warehouses databases, query authoring (SQL) as well as working familiarity with a variety of databases. 
• Highly Experienced in building and optimizing complex queries. Good with manipulating, processing, and extracting value from large, disconnected datasets.
• Your experience in handling big data sets and big data technologies will be an asset.
• Proven champion with in-depth knowledge of any one of the scripting languages: Python, SQL, Pyspark.

Primary responsibilities

• You will be an asset in our team bringing deep technical skills and capabilities to become a key part of projects defining the data journey in our company, keen to engage, network and innovate in collaboration with company wide teams.
• Collaborate with the data and analytics team to develop and maintain a data model and data governance infrastructure using a range of different storage technologies that enables optimal data storage and sharing using advanced methods.
• Support the development of processes and standards for data mining, data modeling and data protection.
• Design and implement continuous process improvements for automating manual processes and optimizing data delivery.
• Assess and report on the unique data needs of key stakeholders and troubleshoot any data-related technical issues through to resolution.
• Work to improve data models that support business intelligence tools, improve data accessibility and foster data-driven decision making.
• Ensure traceability of requirements from Data through testing and scope changes, to training and transition.
• Manage and lead technical design and development activities for implementation of large-scale data solutions in Snowflake to support multiple use cases (transformation, reporting and analytics, data monetization, etc.).
• Translate advanced business data, integration and analytics problems into technical approaches that yield actionable recommendations, across multiple, diverse domains; communicate results and educate others through design and build of insightful presentations.
• Exhibit strong knowledge of the Snowflake ecosystem and can clearly articulate the value proposition of cloud modernization/transformation to a wide range of stakeholders.

Relevant work experience

Bachelors in a Science, Technology, Engineering, Mathematics or Computer Science discipline or equivalent with 7+ Years of experience in enterprise-wide data warehousing, governance, policies, procedures, and implementation.

Aptitude for working with data, interpreting results, business intelligence and analytic best practices.

Business understanding

Good knowledge and understanding of Consumer and industrial products sector and IoT. 

Good functional understanding of solutions supporting business processes.

Skill Must have

• Snowflake 5+ years
• Overall different Data warehousing techs 5+ years
• SQL 5+ years
• Data warehouse designing experience 3+ years
• Experience with cloud and on-prem hybrid models in data architecture
• Knowledge of Data Governance and strong understanding of data lineage and data quality
• Programming & Scripting: Python, Pyspark
• Database technologies such as Traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL)

Nice to have

• Demonstrated experience in modern enterprise data integration platforms such as Informatica
• AWS cloud services: S3, Lambda, Glue and Kinesis and API Gateway, EC2, EMR, RDS, Redshift and Kinesis
• Good understanding of Data Architecture approaches
• Experience in designing and building streaming data ingestion, analysis and processing pipelines using Kafka, Kafka Streams, Spark Streaming, Stream sets and similar cloud native technologies.
• Experience with implementation of operations concerns for a data platform such as monitoring, security, and scalability
• Experience working in DevOps, Agile, Scrum, Continuous Delivery and/or Rapid Application Development environments
• Building mock and proof-of-concepts across different capabilities/tool sets exposure
• Experience working with structured, semi-structured, and unstructured data, extracting information, and identifying linkages across disparate data sets

• Firm grasp of the JavaScript (and TypeScript ) language and its nuances
• Knowledge of (functional or object-oriented) programming
• Ability to write well-documented, clean Javascript code
• Rock solid at working with third-party dependencies and debugging dependency conflicts
• Familiarity with native build tools.
• Understanding of REST APIs, the document request model, and offline storage
• Experience with automated testing suites.

• Design, develop and maintain automation framework, system, and functional test suites and contribute to Database platform development
• Test the product for performance, resiliency, security, scalability, and reliability.
• Fix defects identified via testing in the Database platform
• Understand the end-to-end configuration, technical dependencies, code paths, and overall behavioral characteristics of the products you test.
• Analyze and understand existing test coverage and test cases, identifying opportunities for redesign, replacement, reusability, and improvement in efficiency and performance.
• Define and inspire changes to our product with our development engineering team based on feedback from tests and customer issues.
• Develop and contribute to internal and external knowledge bases. Be a champion for our customers.
• Go above and beyond to ensure customers are getting the most out of their investment in the company platform.

You’ll Need

• Sound knowledge of C/C++ and Java programming languages.
• Sound knowledge of JDBC APIs.
• Sound knowledge of Data Structures and concurrent programming.
• Strong troubleshooting and testing skills.
• Sound knowledge of Distributed System Architecture and distributed processing.
• Good in Shell / Python scripting.
• A minimum of five years in SDET or development profile with BS or MS in CS or equivalent technical degree.
• Highly desirable skills
• Knowledge of database internals (concurrent B-tree access, transactions, recovery, query processing).

Nice to have:

• Familiarity with Big Data Ecosystem landscape. Like Kafka, Spark, Presto.
• Familiarity with ORM technologies like Hibernate, Django, etc.

What you need to have: