Live opening · Posted 5 days ago

Technical Delivery Lead / Engineering Lead (Java)

Keyrus · Pune Division, Maharashtra, India (Hybrid)
Linkedin Hybrid
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At a glance

The key details from the original listing.

Posted 5 days ago
CompanyKeyrus
LocationPune Division, Maharashtra, India (Hybrid)
Work modeHybrid
SkillsJava, Spring Boot, Azure, Docker, Kubernetes, Terraform
SourceLinkedin
ListedPosted 5 days ago

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About the role

Description supplied by the original job listing.

Why Keyrus, Why Now!
Keyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does.
For more than 30 years, we have been building the data foundations that make intelligent systems work — designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalise intelligence.
AI does not replace humans. It repositions us to a place no system can follow: understanding, deciding, designing, and creating.
At Keyrus, you will not just develop skills — you will develop judgment. Your expertise sharpens with every system you architect, every client challenge you solve, and every deployment that compounds on the last.
Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges data, AI, and human decision-making at scale, across industries and geographies. This is not a role you fill. It is a discipline you master and a story you help write to become a Keyrus Architect of Intelligence.
Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two.
Role Details
📍 Job location: Pune (Hybrid — 3 days per week in the office)
🕒 Contract type: Employee
🗓 Target start date: ASAP
⏰ Working hours: Full-time (40h/week)
💵 Compensation: ₹35,00,000 – ₹50,00,000 per year
📋 What You'll Architect
At Keyrus, we transform complexity into measurable outcomes by combining technology, data, intelligence and human decision-making.
We are looking for an experienced Technical Delivery Lead to lead the technical delivery of a strategic enterprise modernisation programme for a global client.
You will combine hands-on technical expertise with team leadership, guiding a Pune-based development team while working closely with stakeholders and distributed teams across APAC, EMEA and the US.
What You'll Do
Lead and mentor the development team, providing technical direction and best practices.
Stay hands-on with Java, Spring Boot and microservices, contributing to architecture, coding and code reviews.
Design and guide cloud-native solutions using Azure, Docker and Kubernetes/AKS.
Drive technical delivery across both legacy modernisation and new technology initiatives.
Collaborate with stakeholders to translate the roadmap into clear technical priorities and delivery plans.
Coordinate across Agile teams and manage priorities, dependencies and delivery timelines.
Promote strong engineering practices across CI/CD, DevOps and infrastructure automation.
Contribute to the design and optimisation of ETL/data pipelines, Snowflake solutions and Kafka-based messaging.
Support team development, performance and alignment across international time zones.
👤 Who You Are
You are curious, analytical, and motivated by solving meaningful business challenges.
You enjoy turning complexity into clarity and action.
You balance technical thinking with business understanding.
You are comfortable working in collaborative and international environments.
You take ownership of your work and follow through on commitments.
You value continuous learning and are motivated by long-term professional growth.
You communicate clearly and effectively with a variety of stakeholders.
🛠️ What You Bring
Qualifications & Experience — Must Have
15+ years of software development experience, including at least 5 years in a technical leadership role.
Strong hands-on expertise in Core Java, Java 8+, Spring Boot and microservices architecture.
Proven experience with REST APIs and enterprise application development.
Strong experience with Microsoft Azure and Kubernetes/AKS.
Experience with Docker and cloud-native application deployment.
Proven ability to lead technical teams and deliver enterprise-scale initiatives in an Agile environment.
Excellent communication, problem-solving and stakeholder-management skills.
Ability to work collaboratively across distributed international teams.
Strongly Preferred
Experience with Snowflake and ETL/data pipelines, including technologies such as Airflow, Spring Batch or Apache Camel.
Experience with Kafka or other enterprise messaging platforms.
Experience with CI/CD and Azure DevOps.
Experience with Terraform / Infrastructure-as-Code.
Financial Services / Banking experience.
Knowledge of SQL, NoSQL/Cosmos DB, Unix scripting or monitoring tools.
⭐ What Makes You Successful
You focus on outcomes rather than activity.
You approach challenges with curiosity and pragmatism.
You communicate complex concepts in a clear and accessible way.
You are comfortable navigating ambiguity and finding practical solutions.
You contribute to collective intelligence by sharing knowledge and supporting others.
You combine autonomy with collaboration.
You continuously look for opportunities to improve systems, processes, and results.
🎁 What We Offer at Keyrus UK
Hybrid work model (3 days/week in the office)
18 paid leaves + 9 public holidays
₹5L medical insurance + ₹10L accident insurance
Competitive fixed salary with EPF & statutory benefits
International consulting exposure with Keyrus clients
Discretionary Bonus Scheme
Referral Bonus Scheme
Training & Development via KLX (Keyrus Learning Experience)
💰 How Our Salary Ranges Work
At Keyrus, salary ranges reflect different levels of mastery and impact within the same role — not different job titles.
Bottom of the range You meet the core requirements and will need ramp-up time and support.
Middle of the range You are fully autonomous from Day 1 and deliver consistently.
Top of the range You are a reference for the role, mentor others, and raise the bar for the team.
Final offers are based on experience, autonomy, scope, and market context, and are discussed transparently during the process.
🔒 Responsible AI & Recruitment
At Keyrus, all stages of our recruitment process are conducted and evaluated by human recruiters and interviewers.
To support accuracy and efficiency, AI may occasionally be used internally by our team exclusively for note-taking purposes during interviews. AI is never used to make decisions.
To ensure fairness, authenticity, and the protection of confidential and proprietary information, the use of AI tools by candidates during the recruitment process is strictly prohibited.
Our commitment to responsible AI practices ensures that hiring decisions are based solely on each candidate’s own skills, experience, judgment, and expertise.
⚠️ Any use of AI assistance during the interview process may result in immediate disqualification from the recruitment process.
♿ Equal Opportunity Statement
We are committed to building an inclusive workplace and encourage applications from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other protected characteristic.
At Keyrus, we help organisations move from experimental AI to industrialised AI, from isolated agents to orchestrated systems, and from insight to execution. This is the discipline we call being an Architect of Intelligence. Designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalise intelligence.
Powered by our proprietary Human Orchestrated Model™ (HOM), we architect reliable:
Intelligence Foundations,
Human in Command governance,
and Performance Steering,
To create intelligent environments where technology amplifies human capabilities and performance compounds over time.
With 30+ years of expertise and 2,800 employees across 28 countries, we help organisations go beyond transformation: to build adaptive, resilient, and continuously improving intelligent organisations.
AI does not transform businesses. Architected intelligence does.

Work arrangement
Hybrid

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