
We are seeking an experienced Operations Lead to drive operational excellence and lead a dynamic team in our fast-paced environment. The ideal candidate will combine strong technical expertise in Python with proven leadership capabilities to optimize processes, ensure system reliability, and deliver results.
Key Responsibilities
- Team & stakeholder leadership - Lead 3-4 operations professionals and work cross-functionally with developers, system administrators, quants, and traders
- DevOps automation & deployment - Develop deployment pipelines, automate configuration management, and build Python-based tools for operational processes and system optimization
- Technical excellence & standards - Drive code reviews, establish development standards, ensure regional consistency with DevOps practices, and maintain technical documentation
- System operations & performance - Monitor and optimize system performance for high availability, scalability, and security while managing day-to-day operations
- Incident management & troubleshooting - Coordinate incident response, resolve infrastructure and deployment issues, and implement automated solutions to prevent recurring problems
- Strategic technical leadership - Make infrastructure decisions, identify operational requirements, design scalable architecture, and stay current with industry best practices
- Reporting & continuous improvement - Report on operational metrics and KPIs to senior leadership while actively contributing to DevOps process improvements
Qualifications and Experience
- Bachelor's degree in Computer Science, Engineering, or related technical field
- Proven experience of at least 5 years as a Software Engineer including at least 2 years as a DevOps Engineer or similar role, working with complex software projects and environments.
- Excellent knowledge with cloud technologies, containers and orchestration.
- Proficiency in scripting and programming languages such as Python and Bash.
- Experience with Linux operating systems and command-line tools.
- Proficient in using Git for version control.
Good to Have
- Experience with Nagios or similar monitoring and alerting systems
- Backend and/or frontend development experience for operational tooling
- Previous experience working in a trading firm or financial services environment
- Knowledge of database management and SQL
- Familiarity with cloud platforms (AWS, Azure, GCP)
- Experience with DevOps practices and CI/CD pipelines
- Understanding of network protocols and system administration
Why You’ll Love Working Here
We’re a team that hustles—plain and simple. But we also believe life outside work matters. No cubicles, no suits—just great people doing great work in a space built for comfort and creativity.
Here’s what we offer:
💰 Competitive salary – Get paid what you’re worth.
🌴 Generous paid time off – Recharge and come back sharper.
🌍 Work with the best – Collaborate with top-tier global talent.
✈️ Adventure together – Annual offsites (mostly outside India) and regular team outings.
🎯 Performance rewards – Multiple bonuses for those who go above and beyond.
🏥 Health covered – Comprehensive insurance so you’re always protected.
⚡ Fun, not just work – On-site sports, games, and a lively workspace.
🧠 Learn and lead – Regular knowledge-sharing sessions led by your peers.
📚 Annual Education Stipend – Take any external course, bootcamp, or certification that makes you better at your craft.
🏋️ Stay fit – Gym memberships with equal employer contribution to keep you at your best.
🚚 Relocation support – Smooth move? We’ve got your back.
🏆 Friendly competition – Work challenges and extracurricular contests to keep things exciting.
We work hard, play hard, and grow together. Join us.
(P.S. We hire for talent, not pedigree—but if you’ve worked at a top tech co or fintech startup, we’d love to hear how you’ve shipped great products.)

About iRage
About
At iRage, we harness the power of technology and quantitative finance to craft cutting-edge high-frequency trading systems and strategies. Our journey began in 2009, shortly after the introduction of Direct Market Access (DMA) in the Indian markets, which ushered in a new era of possibilities in algorithmic trading.
iRage was founded by a group of passionate quantitative trading professionals who saw the immense potential within this domain. Since our inception, we've been on a relentless pursuit of excellence, aiming to reshape the landscape of algorithmic trading in India.
When you join our team at iRage, you're not just an employee; you're an integral part of our mission to solve some of the most challenging engineering problems in the financial industry. You'll collaborate with exceptional programmers, quantitative analysts, and traders who share your enthusiasm for innovation.
Connect with the team
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Job Title: DevOps Engineer
Location: Mumbai
Experience: 2–4 Years
Department: Technology
About InCred
InCred is a new-age financial services group leveraging technology and data science to make lending quick, simple, and hassle-free. Our mission is to empower individuals and businesses by providing easy access to financial services while upholding integrity, innovation, and customer-centricity. We operate across personal loans, education loans, SME financing, and wealth management, driving financial inclusion and socio-economic progress. [incred.com], [canvasbusi...smodel.com]
Role Overview
As a DevOps Engineer, you will play a key role in automating, scaling, and maintaining our cloud infrastructure and CI/CD pipelines. You will collaborate with development, QA, and operations teams to ensure high availability, security, and performance of our systems that power millions of transactions.
Key Responsibilities
- Cloud Infrastructure Management: Deploy, monitor, and optimize infrastructure on AWS (EC2, EKS, S3, VPC, IAM, RDS, Route53) or similar platforms.
- CI/CD Automation: Build and maintain pipelines using tools like Jenkins, GitLab CI, or similar.
- Containerization & Orchestration: Manage Docker and Kubernetes clusters for scalable deployments.
- Infrastructure as Code: Implement and maintain IaC using Terraform or equivalent tools.
- Monitoring & Logging: Set up and manage tools like Prometheus, Grafana, ELK stack for proactive monitoring.
- Security & Compliance: Ensure systems adhere to security best practices and regulatory requirements.
- Performance Optimization: Troubleshoot and optimize system performance, network configurations, and application deployments.
- Collaboration: Work closely with developers and QA teams to streamline release cycles and improve deployment efficiency. [nexthire.breezy.hr], [nexthire.breezy.hr]
Required Skills
- 2–4 years of hands-on experience in DevOps roles.
- Strong knowledge of Linux administration and shell scripting (Bash/Python).
- Experience with AWS services and cloud architecture.
- Proficiency in CI/CD tools (Jenkins, GitLab CI) and version control systems (Git).
- Familiarity with Docker, Kubernetes, and container orchestration.
- Knowledge of Terraform or similar IaC tools.
- Understanding of networking, security, and performance tuning.
- Exposure to monitoring tools (Prometheus, Grafana) and log management.
Preferred Qualifications
- Experience in financial services or fintech environments.
- Knowledge of microservices architecture and enterprise-grade SaaS setups.
- Familiarity with compliance standards in BFSI (Banking & Financial Services Industry).
Why Join InCred?
- Culture: High-performance, ownership-driven, and innovation-focused environment.
- Growth: Opportunities to work on cutting-edge tech and scale systems for millions of users.
- Rewards: Competitive compensation, ESOPs, and performance-based incentives.
- Impact: Be part of a mission-driven organization transforming India’s credit landscape.
Candidate must be from a product-based company with experience handling large-scale production traffic.
2. Minimum 6 yrs of experience working as a DevOps/Infrastructure Consultant
3. Candidate must have 2 years of experience as an lead (handling team of 3 to 4 members atleast)
4. Own end-to-end infrastructure right from non-prod to prod environment including self-managed
5. Candidate must have Self experience in database migration from scratch
6. Must have a firm hold on the container orchestration tool Kubernetes
7. Should have expertise in configuration management tools like Ansible, Terraform, Chef / Puppet
8. Understanding programming languages like GO/Python, and Java
9. Working on databases like Mongo/Redis/Cassandra/Elasticsearch/Kafka.
10. Working experience on Cloud platform -AWS
11. Candidate should have Minimum 1.5 years stability per organization, and a clear reason for relocation
Job Description
We are seeking a skilled DevOps Specialist to join our global automotive team. As DevOps Specialist, you will be responsible for managing operations, system monitoring, troubleshooting, and supporting automation workflows to ensure operational stability and excellence for enterprise IT projects. You will be providing support for critical application environments for industry leaders in the automotive industry.
Responsibilities:
Daily maintenance tasks on application availability, response times, pro-active incident tracking on system logs and resources monitoring
Incident Management: Monitor and respond to tickets raised by the DevOps team or end-users.
Support users with prepared troubleshooting Maintain detailed incident logs, track SLAs, and prepare root cause analysis reports.
Change & Problem Management: Support scheduled changes, releases, and maintenance activities. Assist in identifying and tracking recurring issues.
Documentation & Communication: Maintain process documentation, runbooks, and knowledge base articles. Provide regular updates to stakeholders on incidents and resolutions.
Tool & Platform Support: Manage and troubleshoot CI/CD tools (e.g., Jenkins, GitLab), container platforms (e.g., Docker, Kubernetes), and cloud services (e.g., AWS, Azure).
Requirements:
DevOps Skillset: Logfile analysis /troubleshooting (ELK Stack), Linux administration, Monitoring (App Dynamics, Checkmk, Prometheus, Grafana), Security (Black Duck, SonarQube, Dependabot, OWASP or similar)
Experience with Docker.
Familiarity with DevOps principles and ticket tools like ServiceNow.
Experience in handling confidential data and safety sensitive systems
Strong analytical, communication, and organizational abilities. Easy to work with.
Optional: Experience with our relevant business domain (Automotive / Manufacturing industry, especially production management systems). Familiarity with IT process frameworks SCRUM, ITIL.
Skills & Requirements
DevOps, Logfile Analysis, Troubleshooting, ELK Stack, Linux Administration, Monitoring, AppDynamics, Checkmk, Prometheus, Grafana, Security, Black Duck, SonarQube, Dependabot, OWASP, Docker, CI/CD, Jenkins, GitLab, Kubernetes, AWS, Azure, ServiceNow, Incident Management, Change Management, Problem Management, Documentation, Communication, Analytical Skills, Organizational Skills, SCRUM, ITIL, Automotive Industry, Manufacturing Industry, Production Management Systems.
Main tasks
- Supervision of the CI/CD process for the automated builds and deployments of web services and web applications as well as desktop tool in the cloud and container environment
- Responsibility of the operations part of a DevOps organization especially for development at LS telcom in the environment of container technology and orchestration, e.g. with Kubernetes
- Installation, operation and monitoring of web applications in cloud data centers for the purpose of development of the test as well as for the operation of an own productive cloud as LS service
- Implementation of installations of the LS system solution especially in the container context
- Introduction, maintenance and improvement of installation solutions for LS development in the desktop and server environment as well as in the cloud and with on-premise Kubernetes
- Maintenance of the system installation documentation and implementation of trainings
Execution of internal software tests and support of involved teams and stakeholders
- Hands on Experience with Azure DevOps.
Qualification profile
- Bachelor’s or master’s degree in communications engineering, electrical engineering, physics or comparable qualification
- Experience in software
- Installation and administration of Linux and Windows systems including network and firewalling aspects
- Experience with build and deployment automation with tools like Jenkins, Gradle, Argo or similar as well as system scripting (Bash, Power-Shell, etc.)
- Interest in operation and monitoring of applications in virtualized and containerized environments in cloud and on-premise
- Server environments, especially application, web-and database servers
- Knowledge in VMware/K3D/Rancer is an advantage
- Good spoken and written knowledge of English
Exp:8 to 10 years notice periods 0 to 20 days
Job Description :
- Provision Gcp Resources Based On The Architecture Design And Features Aligned With Business Objectives
- Monitor Resource Availability, Usage Metrics And Provide Guidelines For Cost And Performance Optimization
- Assist It/Business Users Resolving Gcp Service Related Issues
- Provide Guidelines For Cluster Automation And Migration Approaches And Techniques Including Ingest, Store, Process, Analyse And Explore/Visualise Data.
- Provision Gcp Resources For Data Engineering And Data Science Projects.
- Assistance With Automated Data Ingestion, Data Migration And Transformation(Good To Have)
- Assistance With Deployment And Troubleshooting Applications In Kubernetes.
- Establish Connections And Credibility In How To Address The Business Needs Via Design And Operate Cloud-Based Data Solutions
Key Responsibilities / Tasks :
- Building complex CI/CD pipelines for cloud native PaaS services such as Databases, Messaging, Storage, Compute in Google Cloud Platform
- Building deployment pipeline with Github CI (Actions)
- Building terraform codes to deploy infrastructure as a code
- Working with deployment and troubleshooting of Docker, GKE, Openshift, and Cloud Run
- Working with Cloud Build, Cloud Composer, and Dataflow
- Configuring software to be monitored by Appdynamics
- Configuring stackdriver logging and monitoring in GCP
- Work with splunk, Kibana, Prometheus and grafana to setup dashboard
Your skills, experience, and qualification :
- Total experience of 5+ Years, in as Devops. Should have at least 4 year of experience in Google could and Github CI.
- Should have strong experience in Microservices/API.
- Should have strong experience in Devops tools like Gitbun CI, teamcity, Jenkins and Helm.
- Should know Application deployment and testing strategies in Google cloud platform.
- Defining and setting development, test, release, update, and support processes for DevOps operation
- Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
- Excellent understanding of Java
- Knowledge on Kafka, ZooKeeper, Hazelcast, Pub/Sub is nice to have.
- Understanding of cloud networking, security such as software defined networking/firewalls, virtual networks and load balancers.
- Understanding of cloud identity and access
- Understanding of the compute runtime and the differences between native compute, virtual and containers
- Configuration and managing databases such as Oracle, Cloud SQL, and Cloud Spanner.
- Excellent troubleshooting
- Working knowledge of various tools, open-source technologies
- Awareness of critical concepts of Agile principles
- Certification in Google professional Cloud DevOps Engineer is desirable.
- Experience with Agile/SCRUM environment.
- Familiar with Agile Team management tools (JIRA, Confluence)
- Understand and promote Agile values: FROCC (Focus, Respect, Openness, Commitment, Courage)
- Good communication skills
- Pro-active team player
- Comfortable working in multi-disciplinary, self-organized teams
- Professional knowledge of English
- Differentiators : knowledge/experience about
- Understanding of maintenance of existing systems (Virtual machines), Linux stack
- Experience running, operating and maintainence of Kubernetes pods
- Strong Scripting skills
- Experience in AWS
- Knowledge of configuring/optimizing open source tools like Kafka, etc.
- Strong automation maintenance - ability to identify opportunities to speed up build and deploy process with strong validation and automation
- Optimizing and standardizing monitoring, alerting.
- Experience in Google cloud platform
- Experience/ Knowledge in Python will be an added advantage
- Experience on Monitoring Tools like Jenkins, Kubernetes ,Terraform etc
You need to drive automation for implementing scalable and robust applications. You would indulge your dedication and passion to build server-side optimization ensuring low-latency and high-end performance for the cloud deployed within datacentre. You should have sound knowledge of Open stack and Kubernetes domain.
YOUR ‘OKR’ SUMMARY
OKR means Objective and Key Results.
As a DevOps Engineer, you will understand the overall movement of data in the entire platform, find bottlenecks,define solutions, develop key pieces, write APIs and own deployment of those. You will work with internal and external development teams to discover these opportunities and to solve hard problems. You will also guide engineers in solving the complex problems, developing your acceptance tests for those and reviewing the work and
the test results.
What you will do
- As a DevOps Engineer responsible for systems being used by customer across the globe.
- Set the goals for overall system and divide into goals for the sub-system.
- Guide/motivate/convince/mentor the architects on sub-systems and help them achieving improvements with agility and speed.
- Identify the performance bottleneck and come up with the solution to optimize time and cost taken by build/test system.
- Be a thought leader to contribute to the capacity planning for software/hardware, spanning internal and public cloud, solving the trade-off between turnaround time and utilization.
- Bring in technologies enabling massively parallel systems to improve turnaround time by an order of magnitude.
What you will need
A strong sense of ownership, urgency, and drive. As an integral part of the development team, you will need the following skills to succeed.
- BS or BE/B.Tech or equivalent experience in EE/CS with 10+ years of experience.
- Strong background of Architecting and shipping distributed scalable software product with good understanding of system programming.
- Excellent background of Cloud technologies like: OpenStack, Docker, Kubernetes, Ansible, Ceph is must.
- Excellent understanding of hybrid, multi-cloud architecture and edge computing concepts.
- Ability to identify the bottleneck and come up with solution to optimize it.
- Programming and software development skills in Python, Shell-script along with good understanding of distributed systems and REST APIs.
- Experience in working with SQL/NoSQL database systems such as MySQL, MongoDB or Elasticsearch.
- Excellent knowledge and working experience with Docker containers and Virtual Machines.
- Ability to effectively work across organizational boundaries to maximize alignment and productivity between teams.
- Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate.
Additional Advantage:
- Deep understanding of technology and passionate about what you do.
- Background in designing high performant scalable software systems with strong focus to optimizehardware cost.
- Solid collaborative and interpersonal skills, specifically a proven ability to effectively guide andinfluence within a dynamic environment.
- Strong commitment to get the most performance out of a system being worked on.
- Prior development of a large software project using service-oriented architecture operating with real time constraints.
What's In It for You?
- You will get a chance to work on cloud-native and hyper-scale products
- You will be working with industry leaders in cloud.
- You can expect a steep learning curve.
- You will get the experience of solving real time problems, eventually you become a problem solver.
Benefits & Perks:
- Competitive Salary
- Health Insurance
- Open Learning - 100% Reimbursement for online technical courses.
- Fast Growth - opportunities to grow quickly and surely
- Creative Freedom + Flat hierarchy
- Sponsorship to all those employees who represent company in events and meet ups.
- Flexible working hours
- 5 days week
- Hybrid Working model (Office and WFH)
Our Hiring Process:
Candidates for this position can expect the hiring process as follows (subject to successful clearing of every round)
- Initial Resume screening call with our Recruiting team
- Next, candidates will be invited to solve coding exercises.
- Next, candidates will be invited for first technical interview
- Next, candidates will be invited for final technical interview
- Finally, candidates will be invited for Culture Plus interview with HR
- Candidates may be asked to interview with the Leadership team
- Successful candidates will subsequently be made an offer via email
As always, the interviews and screening call will be conducted via a mix of telephonic and video call.
So, if you are looking at an opportunity to really make a difference- make it with us…
Coredge.io provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable central, state or local laws.
As a MLOps Engineer in QuantumBlack you will:
Develop and deploy technology that enables data scientists and data engineers to build, productionize and deploy machine learning models following best practices. Work to set the standards for SWE and
DevOps practices within multi-disciplinary delivery teams
Choose and use the right cloud services, DevOps tooling and ML tooling for the team to be able to produce high-quality code that allows your team to release to production.
Build modern, scalable, and secure CI/CD pipelines to automate development and deployment
workflows used by data scientists (ML pipelines) and data engineers (Data pipelines)
Shape and support next generation technology that enables scaling ML products and platforms. Bring
expertise in cloud to enable ML use case development, including MLOps
Our Tech Stack-
We leverage AWS, Google Cloud, Azure, Databricks, Docker, Kubernetes, Argo, Airflow, Kedro, Python,
Terraform, GitHub actions, MLFlow, Node.JS, React, Typescript amongst others in our projects
Key Skills:
• Excellent hands-on expert knowledge of cloud platform infrastructure and administration
(Azure/AWS/GCP) with strong knowledge of cloud services integration, and cloud security
• Expertise setting up CI/CD processes, building and maintaining secure DevOps pipelines with at
least 2 major DevOps stacks (e.g., Azure DevOps, Gitlab, Argo)
• Experience with modern development methods and tooling: Containers (e.g., docker) and
container orchestration (K8s), CI/CD tools (e.g., Circle CI, Jenkins, GitHub actions, Azure
DevOps), version control (Git, GitHub, GitLab), orchestration/DAGs tools (e.g., Argo, Airflow,
Kubeflow)
• Hands-on coding skills Python 3 (e.g., API including automated testing frameworks and libraries
(e.g., pytest) and Infrastructure as Code (e.g., Terraform) and Kubernetes artifacts (e.g.,
deployments, operators, helm charts)
• Experience setting up at least one contemporary MLOps tooling (e.g., experiment tracking,
model governance, packaging, deployment, feature store)
• Practical knowledge delivering and maintaining production software such as APIs and cloud
infrastructure
• Knowledge of SQL (intermediate level or more preferred) and familiarity working with at least
one common RDBMS (MySQL, Postgres, SQL Server, Oracle)

Total Experience: 6 – 12 Years
Required Skills and Experience
- 3+ years of relevant experience with DevOps tools Jenkins, Ansible, Chef etc
- 3+ years of experience in continuous integration/deployment and software tools development experience with Python and shell scripts etc
- Building and running Docker images and deployment on Amazon ECS
- Working with AWS services (EC2, S3, ELB, VPC, RDS, Cloudwatch, ECS, ECR, EKS)
- Knowledge and experience working with container technologies such as Docker and Amazon ECS, EKS, Kubernetes
- Experience with source code and configuration management tools such as Git, Bitbucket, and Maven
- Ability to work with and support Linux environments (Ubuntu, Amazon Linux, CentOS)
- Knowledge and experience in cloud orchestration tools such as AWS Cloudformation/Terraform etc
- Experience with implementing "infrastructure as code", “pipeline as code” and "security as code" to enable continuous integration and delivery
- Understanding of IAM, RBAC, NACLs, and KMS
- Good communication skills
Good to have:
- Strong understanding of security concepts, methodologies and apply them such as SSH, public key encryption, access credentials, certificates etc.
- Knowledge of database administration such as MongoDB.
- Knowledge of maintaining and using tools such as Jira, Bitbucket, Confluence.
Responsibilities
- Work with Leads and Architects in designing and implementation of technical infrastructure, platform, and tools to support modern best practices and facilitate the efficiency of our development teams through automation, CI/CD pipelines, and ease of access and performance.
- Establish and promote DevOps thinking, guidelines, best practices, and standards.
- Contribute to architectural discussions, Agile software development process improvement, and DevOps best practices.










