
Engineering Head
at Post-trade technology and professional services firm.
We are looking for a bright and exceptional Engineering Lead to join our Hyderabad based Technology team. The role involves building complex next-generation products used by our clients and architecting solutions to support new technologies and business initiatives.
What you’ll do:
• Active participation in design, development, delivery, and maintenance of software projects/products
• Help the team translate the business requirements into R&D tasks
• Work with product groups to outline project deliverables and help manage the roadmap of the R&D tasks
• Act as a point of contact for managing and driving production defects & stability improvements to resolution
• Tailor processes to help manage time-sensitive issues and bring them to appropriate closure
• Engage and lead a team of highly talented technologists
What you’ll need:
• A bachelor’s degree in Computer Science with 6-8 years of experience, Fintech domain is a plus
• Demonstrated contribution to the end-to-end delivery of enterprise-grade software
• Proficiency in Java or equivalent object-oriented languages, coupled with design and SOA
• Hands-on experience in enterprise application development, coupled with knowledge of frameworks & tools like/equivalent to spring, mybatis, git, gradle
• Experience in at least one shell scripting language, SQL, and data modeling skills
• Experience in cloud technologies is a plus
• Strong technology acumen, knowledge of software engineering process, design knowledge and architecture intelligence
• Attention to detail and quality, and the ability to work well in and across teams
• Ability to advocate & influence multiple stakeholders
• Excellent analytical and reasoning skills
• Ability to learn new domains and deliver output
• Experience in leading a team of highly skilled engineers
• Strong communication skills
The role is similar to TL but involves leading a team with experience in project delivery.
Experience in scalable architecture/
Strong in Java/Python and OOAD
Fund Accounting + Banking domain profiles are preferred

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We are seeking a Senior Full Stack Software Engineer with strong technical leadership and hands-on expertise in AI/ML, data-centric applications, and scalable full-stack architectures.
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- Build and optimize data ingestion, processing, and pipeline frameworks for large datasets.
- Deploy, integrate, and scale ML/AI models in production environments.
- Drive system design, architecture discussions, and API/interface standards.
- Ensure engineering best practices across code quality, testing, performance, and security.
- Mentor and guide junior developers through reviews and technical decision-making.
- Collaborate cross-functionally with product, design, and data teams to align solutions with business needs.
- Monitor, diagnose, and optimize performance issues across the application stack.
- Maintain comprehensive technical documentation for scalability and knowledge-sharing.
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- Education : B.E./B.Tech/M.E./M.Tech in Computer Science, Data Science, or equivalent fields.
- Experience : 5+ years in software development with at least 2+ years in a senior or lead role.
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- Back-end : Node.js / Python / Java
- Data Engineering : Experience with data frameworks such as Apache Spark, Kafka, and ETL pipeline development.
- AI/ML Expertise : Practical exposure to TensorFlow, PyTorch, or scikit-learn and deploying ML models at scale.
- Databases : Strong knowledge of SQL & NoSQL systems (PostgreSQL, MongoDB) and warehousing tools (Snowflake, BigQuery).
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- Visualization : Familiarity with modern data visualization tools (D3.js, Tableau, Power BI).
Soft Skills :
- Excellent communication and cross-functional collaboration skills.
- Strong analytical mindset with structured problem-solving ability.
- Self-driven with ownership mentality and adaptability in fast-paced environments.
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- Experience deploying distributed, large-scale ML or data-driven platforms.
- Understanding of data governance, privacy, and security compliance.
- Exposure to domain-driven data/AI use cases in fintech, healthcare, retail, or e-commerce.
- Experience working in Agile environments (Scrum/Kanban).
- Active open-source contributions or a strong GitHub technical portfolio.
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