Associate Software Engineer

Candidates typically face a three‑stage process: an online aptitude and coding test, followed by a technical interview focusing on automation platforms, AI tools, and coding proficiency, and finally an HR round that assesses cultural fit and communication skills. The difficulty is moderate to high, with emphasis on practical automation experience and problem‑solving ability.

Round 1: Online assessment (aptitude + coding) → Round 2: Technical interview (deep dive into automation projects, coding, and AI tools) → Round 3: HR interview (culture fit, expectations, and compensation discussion)

Franklin Templeton promotes a collaborative and inclusive work culture where learning is encouraged through regular tech talks and certification support. Employees enjoy a balanced shift schedule, opportunities for cross‑functional projects, and clear career progression pathways within the technology vertical.

Bachelor’s degree in Computer Science or related discipline; Minimum 60% aggregate (or CGPA 6.0/10); Graduating batch 2022‑2024 (or equivalent) to satisfy 2‑4 years of experience; No active backlogs at the time of joining; 2‑4 years of relevant experience in automation, AI, or software engineering.

Franklin Templeton is a global asset‑management firm with a strong presence in India, known for its disciplined investment approach and robust technology backbone. The company’s Hyderabad campus houses a vibrant technology hub that supports the firm’s worldwide operations, driving digital transformation across portfolio management, client servicing, and back‑office functions. With a culture that encourages innovation, continuous learning, and collaboration, Franklin Templeton has consistently been recognized for its employee‑centric policies, flexible work arrangements, and a focus on work‑life balance. The role of Associate Software Engineer sits within the Automation Center of Excellence (CoE), a specialised team that builds intelligent automation and AI‑enabled solutions to streamline business processes. Reporting to senior automation architects, the associate will work on end‑to‑end automation projects, leveraging low‑code platforms like Power Platform, data‑flow tools such as KNIME, and AI assistants like Copilot Studio. The position operates on a 2:00 PM – 11:00 PM IST shift, providing exposure to global delivery cycles and cross‑functional collaboration. Key Responsibilities: 1. Design, develop, and maintain automation workflows using Power Automate, Power Apps, and KNIME. 2. Build reusable components and contribute to shared accelerator libraries for the CoE. 3. Analyse business processes, identify automation opportunities, and create scalable technical solutions. 4. Integrate solutions with REST APIs, handling authentication via OAuth and other industry‑standard patterns. 5. Employ AI‑first techniques—using Copilot Studio and Microsoft 365 Copilot—for code generation, testing, debugging, and documentation. 6. Produce comprehensive technical documentation and support deployment activities. 7. Provide Level 2 and Level 3 production support, including incident triage, root‑cause analysis, and corrective actions. 8. Ensure solutions meet security, compliance, scalability, and quality benchmarks. 9. Participate actively in Agile ceremonies—sprint planning, daily stand‑ups, reviews, and retrospectives. 10. Experiment with emerging automation and AI technologies to drive continuous improvement. Tech Stack: Power Platform (Power Automate, Power Apps), KNIME, Copilot Studio, Microsoft 365 Copilot, Python, JavaScript, REST APIs, Azure/AWS basics, OAuth, low‑code/no‑code platforms, prompt engineering. Growth Path: Starting as an Associate Engineer, high performers can progress to Senior Engineer, Automation Architect, or AI Engineering roles. The CoE’s exposure to enterprise‑scale automation projects opens pathways into solution architecture, platform engineering, and product management. Why Join Franklin Templeton? The firm offers a stable, globally recognised brand, a collaborative environment that values innovation, and a clear roadmap for technical growth. Employees benefit from mentorship, continuous up‑skilling programs, and the chance to work on cutting‑edge AI‑driven automation that directly impacts business outcomes.