Full-Time
Tech Lead CHN/BLR
Photon
Global AI and digital solutions provider
No salary listed
Chennai, Tamil Nadu, India + 1 more
More locations: Bengaluru, Karnataka, India
In Person
 Software Engineering (1) |
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- Bachelor's degree in Computer Science, Engineering, or related field, OR equivalent extensive practical experience.
- 8+ years of hands-on experience in Mainframe application development and support.
- Proven experience (at least 2+ years) in a technical leadership role (Tech Lead, Senior Developer with mentoring responsibilities) within a mainframe environment.
- Deep technical expertise in core mainframe technologies: COBOL, JCL, CICS, DB2, VSAM.
- Strong understanding of Mainframe architecture, batch processing, online transaction processing, and system utilities.
- Demonstrable experience or significant involvement in mainframe modernization projects or initiatives.
- Excellent analytical, problem-solving, and debugging skills, especially concerning complex legacy systems.
- Strong communication and interpersonal skills, with the ability to effectively collaborate with diverse technical teams and explain complex concepts clearly.
- Experience analyzing and understanding complex, large-scale legacy applications.
- Technical Leadership: Lead, mentor, and guide a team of mainframe developers/SMEs involved in the modernization project. Foster a collaborative and knowledge-sharing environment.
- Legacy System Analysis: Perform in-depth analysis of existing Mainframe applications (COBOL, JCL, CICS, DB2, VSAM, etc.) to understand business logic, data structures, system integrations, and dependencies.
- Modernization Strategy & Design: Collaborate with architects (Mainframe and Java) to define and refine modernization strategies (e.g., re-platforming, re-hosting, refactoring, strangler patterns). Contribute to technical design decisions for migration, interfacing, or decommissioning of mainframe components.
- Bridging Technologies: Act as a key liaison between mainframe SMEs and Java development teams. Translate mainframe concepts and constraints for the Java teams and vice-versa. Facilitate technical discussions on integration points and data migration.
- Risk & Impact Assessment: Identify technical risks, challenges, and dependencies associated with migrating specific mainframe applications or functionalities. Propose mitigation strategies.
- Technical Oversight: Oversee the technical execution of mainframe-related tasks within the project, ensuring adherence to standards, best practices, and project timelines. Review code and technical artifacts where applicable.
- Problem Solving: Troubleshoot complex technical issues arising from the legacy environment or during the migration process. Ensure the stability and performance of mainframe systems interfacing with modernized components.
- Testing Strategy: Contribute to the definition and oversight of testing strategies, particularly for integration, regression, and parallel testing between mainframe and Java systems.
- Documentation: Ensure comprehensive technical documentation is created and maintained for existing systems and the transition process.
- Communication: Clearly communicate technical details, progress, and challenges to project managers, stakeholders, and technical teams.
- Familiarity with Java / J2EE concepts, microservices architecture, and modern development practices.
- Experience with specific mainframe modernization tools (code analysis, automated refactoring, data migration tools).
- Knowledge of additional mainframe technologies (e.g., Assembler, IMS DB/DC, specific scheduling tools like TWS/Control-M).
- Exposure to cloud platforms (AWS, Azure, GCP) and concepts related to migrating mainframe workloads.
- Understanding of DevOps principles and CI/CD pipelines, and how they might apply in a hybrid environment.
- Experience working in Agile/Scrum development methodologies.
Photon helps large enterprises accelerate AI adoption and digital growth. It delivers AI management, digital innovation, product design thinking, and engineering to implement and run AI solutions, scale products and experiences, and improve operations. By serving thousands of employees across many countries and working with a sizable portion of the Fortune 100, Photon combines global delivery with a broad skill set to handle billions of daily touchpoints. Its goal is to keep clients agile and future-ready by expanding AI capabilities and digital initiatives across industries.
Company Size
N/A
Company Stage
N/A
Total Funding
N/A
Headquarters
London, United Kingdom
Founded
N/A
Simplify's Take
What believers are saying
- Generative AI boosts Photon's UX/UI prototyping for Fortune 100 clients.
- Omnichannel MarTech consolidation expands Photon's Salesforce integrations.
- AI personalization aligns with Photon's data-driven 1 billion interactions.
What critics are saying
- Salesforce Einstein GPT undercuts Photon's integrations for Fortune 100 clients.
- Accenture's Navisite acquisition steals 40% of Photon's Fortune 100 clients.
- TCS launches rival Digital HyperExpansion in Q1 2026, undercutting pricing.
What makes Photon unique
- Photon manages 1 billion daily customer interactions via Digital HyperExpansion.
- Photon deploys 7,500 digital engineers for Fortune 100 infrastructure modernization.
- Photon excels in vertical-specific consulting for financial services and healthcare.
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Benefits
Health Insurance
Dental Insurance
Vision Insurance
401(k) Retirement Plan
Paid Vacation
Paid Holidays
Performance Bonus
Company News
Exein unveils next-generation runtime security to protect the ai-native world. * Photon blocks cyberattacks before execution across physical AI and IoT, autonomous AI agents and cloud and edge infrastructure * Kernel-level prevention sets a new standard beyond traditional user-space detection * Builds on Exein's position as the world's largest runtime security provider, protecting over two billion devices Mar 23, 2026 Prev Next 1 of 42,872 Exein, the global leader in runtime cybersecurity, unveiled Photon, a preemptive breakthrough solution that blocks cyberattacks at the point of execution. Designed for the AI-native world - where digital and physical systems are now inseparable - Photon marks a fundamental shift in how critical infrastructure protects itself. Unlike traditional cybersecurity solutions that detect threats after compromise - typically operating in user space and relying on a cloud network - Exein's Photon operates directly inside the kernel, preventing malicious execution paths before they can run. By blocking attacks before the point of execution, the technology dramatically reduces latency and eliminates entire classes of threats before damage occurs. If malicious instructions cannot execute, the attack itself cannot take place. This advancement establishes a new category of runtime security designed for systems that cannot be disconnected: physical AI and IoT environments, autonomous AI agents, and local hybrid cloud and edge infrastructure. In these environments, from industrial robotics and critical infrastructure to AI-driven platforms, downtime is not an option, and protection must be more precise and granular, blocking malicious threats without shutting down the entire process. The announcement at the RSA Conference (RSAC) comes as cyber threats increasingly target physical systems. Last month, the Munich Security Report 2026 warned that cyber operations are now engineered to cause real-world disruption, accelerating regulatory intervention after voluntary measures failed to address systemic vulnerabilities. At the same time, the speed of attacks is accelerating dramatically: recent threat intelligence shows average attacker 'breakout times' fell to just 29 minutes in 2025, 65% faster than the previous year, driven in part by AI-assisted automation. Protecting the digital and physical in the AI era Artificial intelligence is already capable of identifying vulnerabilities in software and infrastructure. In the near future, these models will not only detect weaknesses but exploit them autonomously to launch attacks at machine speed. As the scale and sophistication of these attacks grow, traditional runtime security systems that rely on detection alone will no longer be sufficient. Photon introduces a new model of preemptive runtime security designed for this AI-driven environment. Rather than detecting attacks after they begin, it prevents malicious execution paths from running in the first place, blocking threats in real time before they can impact the system. Unlike conventional security tools that operate in user space alongside the applications they protect, Photon operates directly within the kernel, the core of the operating system. By enforcing protection at this foundational layer, rather than merely detecting and stopping attacks, it prevents them from executing in the first place - all in real time. This marks a major milestone as physical and digital systems converge, positioning Photon as a new reference architecture for securing physical AI, agent AI and cloud and hybrid infrastructure. Gianni Cuozzo, Founder and CEO of Exein, said: "In a future where the world is infinitely connected with humanoid robots walking among Aithority, local LLMs powering intelligent edges, autonomous drones reshaping mobility, and billions of new autonomous systems bridging the digital and physical realms, preemptive runtime security represents the new generation of protection, built into the very DNA of every device from the ground up. "Exein was born to make this vision a reality: transforming every connected device into a fortress of security, forging the largest decentralised immune system for digital life - cross-vendor, cross-platform, and cross-system. We stand as the first line of defence between the boundless digital world and the physical one we live in, empowering manufacturers to build inherently safe innovations and already safeguarding over 2 billion devices worldwide."