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.
Job location: Pune or Bangalore (Hybrid — 3 days per week in the office)
Contract type: Permanent
Target start date: August 2026
Working hours: Full-time (40h/week), shifts switch between the APAC and GMT timezone
Compensation: INR 10,00,000 – 17,00,000 per year
As a Production Support / DevOps Engineer, you will play a critical role in ensuring the reliability, performance, and operational stability of business-critical applications across cloud, API, and data platforms.
This role is both technical and consultative — working alongside development, cloud, and operations teams, you will help keep systems running smoothly while contributing to continuous improvement initiatives and modern DevOps practices. We’re looking for professionals who think like architects and act like builders.
Provide production support for business-critical applications, escalating complex issues to L2/ L3 as needed
Perform log analysis and collaborate with Java development teams to identify and resolve incidents.
Help monitor and support REST APIs, distributed applications, and cloud-based services.
Get hands-on exposure to applications deployed on Azure Kubernetes (AKS), working alongside senior engineers
Assist in the operation of key Azure services, including Blob Storage, Azure SQL Server, and Static Web Apps.
Work with Cosmos DB and Snowflake environments while expanding your expertise through hands-on learning.
Perform basic operational tasks in Unix/Linux environments.
Support DevOps processes, including deployments, releases, and environment validation
Learn and apply monitoring and observability practices to help identify incidents
Manage incidents, service requests, and changes using ServiceNow.
Support scheduling and batch operations using Control-M.
Maintain technical and operational documentation in Confluence.
Use GitHub and Azure DevOps for collaboration, source control, and pipelines
Contribute to Agile teams and continuous service improvement initiatives.
You are curious, proactive, and solutions-oriented, with a strong desire to learn and grow.
You enjoy investigating issues and turning complex problems into practical solutions.
You are comfortable balancing operational support responsibilities with continuous improvement initiatives.
You thrive in collaborative environments and enjoy working with developers, cloud engineers, and business stakeholders.
You take ownership of incidents, follow through on commitments, and maintain a strong sense of accountability.
You remain calm and structured when working in fast-paced production environments.
You value continuous learning and are interested in building a long-term career in DevOps, Cloud Operations, and Platform Engineering.
You communicate clearly and effectively across technical and non-technical audiences.
Qualifications & Experience
2-5 years of experience in Production Support, Application Support, DevOps, or related operational roles.
Support experience, comfortable triaging and escalating incidents (L1, L2 and L3)
Some hands-on experience with troubleshooting and log analysis
Experience working within Agile delivery environments is highly valued.
Technical & Professional Skills
Experience troubleshooting application issues through log analysis and root-cause investigation.
Basic exposure to APIs and service-based architectures
Working familiarity with core Azure technologies, including AKS, Cosmos DB, and cloud-based applications.
Solid understanding of SQL for data investigation and analysis.
Exposure to Python, Java, and Spring Boot environments.
Some exposure to CI/CD tools such as GitHub and Azure DevOps
Understanding of production support processes, incident management, and operational excellence.
Strong analytical, problem-solving, and communication skills.
Nice to Have
Exposure to Azure services, such as Blob Storage, SQL Server, or Static Web Apps.
Familiarity with Snowflake or willing to upskill.
Experience with monitoring and observability tools, especially Dynatrace.
Basic knowledge of Apache Kafka.
Familiarity with Unix/Linux fundamentals and with software tools like ReactJS and Terraform
Experience working in consulting, international, or multicultural environments.
You take ownership of production issues and work proactively to drive resolution.
You combine a support mindset with a continuous improvement approach.
You learn quickly and become increasingly autonomous in managing complex environments.
You communicate effectively during incidents, ensuring stakeholders remain informed and aligned.
You collaborate naturally with developers, cloud engineers, and operational teams.
You remain calm under pressure and can prioritise effectively in a dynamic environment.
You leverage monitoring data and operational insights to improve reliability and performance.
You actively contribute knowledge, documentation, and best practices that benefit the wider team.
You are motivated to expand your expertise across Cloud, DevOps, Platform Operations, and Site Reliability practices.
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)
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.
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.
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.
