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Review Criteria
- Strong DevOps /Cloud Engineer Profiles
- Must have 3+ years of experience as a DevOps / Cloud Engineer
- Must have strong expertise in cloud platforms – AWS / Azure / GCP (any one or more)
- Must have strong hands-on experience in Linux administration and system management
- Must have hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
- Must have experience in building and optimizing CI/CD pipelines using tools like GitHub Actions, GitLab CI, or Jenkins
- Must have hands-on experience with Infrastructure-as-Code tools such as Terraform, Ansible, or CloudFormation
- Must be proficient in scripting languages such as Python or Bash for automation
- Must have experience with monitoring and alerting tools like Prometheus, Grafana, ELK, or CloudWatch
- Top tier Product-based company (B2B Enterprise SaaS preferred)
Preferred
- Experience in multi-tenant SaaS infrastructure scaling.
- Exposure to AI/ML pipeline deployments or iPaaS / reverse ETL connectors.
Role & Responsibilities
We are seeking a DevOps Engineer to design, build, and maintain scalable, secure, and resilient infrastructure for our SaaS platform and AI-driven products. The role will focus on cloud infrastructure, CI/CD pipelines, container orchestration, monitoring, and security automation, enabling rapid and reliable software delivery.
Key Responsibilities:
- Design, implement, and manage cloud-native infrastructure (AWS/Azure/GCP).
- Build and optimize CI/CD pipelines to support rapid release cycles.
- Manage containerization & orchestration (Docker, Kubernetes).
- Own infrastructure-as-code (Terraform, Ansible, CloudFormation).
- Set up and maintain monitoring & alerting frameworks (Prometheus, Grafana, ELK, etc.).
- Drive cloud security automation (IAM, SSL, secrets management).
- Partner with engineering teams to embed DevOps into SDLC.
- Troubleshoot production issues and drive incident response.
- Support multi-tenant SaaS scaling strategies.
Ideal Candidate
- 3–6 years' experience as DevOps/Cloud Engineer in SaaS or enterprise environments.
- Strong expertise in AWS, Azure, or GCP.
- Strong expertise in LINUX Administration.
- Hands-on with Kubernetes, Docker, CI/CD tools (GitHub Actions, GitLab, Jenkins).
- Proficient in Terraform/Ansible/CloudFormation.
- Strong scripting skills (Python, Bash).
- Experience with monitoring stacks (Prometheus, Grafana, ELK, CloudWatch).
- Strong grasp of cloud security best practices.
Skills and competencies:
Required:
· Strong analytical skills in conducting sophisticated statistical analysis using bureau/vendor data, customer performance
Data and macro-economic data to solve business problems.
· Working experience in languages PySpark & Scala to develop code to validate and implement models and codes in
Credit Risk/Banking
· Experience with distributed systems such as Hadoop/MapReduce, Spark, streaming data processing, cloud architecture.
- Familiarity with machine learning frameworks and libraries (like scikit-learn, SparkML, tensorflow, pytorch etc.
- Experience in systems integration, web services, batch processing
- Experience in migrating codes to PySpark/Scala is big Plus
- The ability to act as liaison conveying information needs of the business to IT and data constraints to the business
applies equal conveyance regarding business strategy and IT strategy, business processes and work flow
· Flexibility in approach and thought process
· Attitude to learn and comprehend the periodical changes in the regulatory requirement as per FED
Work life balance / Startup / Learning / Good Environment .................................................................
We are looking for an experienced DevOps Architect with strong expertise in telecom environments (OSS/BSS, 4G/5G core, network systems). The candidate will design and implement scalable, highly available, and automated DevOps solutions to support telecom-grade applications and infrastructure.
Responsibilities:
- Design and implement DevOps architecture for telecom applications (OSS/BSS, mediation systems, billing platforms)
- Architect CI/CD pipelines using Jenkins, GitLab, or Azure DevOps
- Manage cloud infrastructure on Amazon Web Services, Microsoft Azure, or hybrid telecom data centers
- Implement containerization using Docker and orchestration with Kubernetes
- Design Infrastructure as Code (IaC) using Terraform
- Ensure high availability, disaster recovery, and zero-downtime deployment strategies
- Automate deployments for 4G/5G core network functions (CNFs/VNFs)
- Implement monitoring solutions using Prometheus, Grafana, and ELK Stack
- Work closely with network engineering and telecom operations teams
- Ensure compliance with telecom-grade security standards
● Create and maintain optimal data pipeline architecture.
● Assemble large, complex data sets that meet functional / non-functional
business requirements.
● Building and optimizing ‘big data’ data pipelines, architectures and data sets.
● Maintain, organize & automate data processes for various use cases.
● Identifying trends, doing follow-up analysis, preparing visualizations.
● Creating daily, weekly and monthly reports of product KPIs.
● Create informative, actionable and repeatable reporting that highlights
relevant business trends and opportunities for improvement.
Required Skills And Experience:
● 2-5 years of work experience in data analytics- including analyzing large data sets.
● BTech in Mathematics/Computer Science
● Strong analytical, quantitative and data interpretation skills.
● Hands-on experience with Python, Apache Spark, Hadoop, NoSQL
databases(MongoDB preferred), Linux is a must.
● Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
● Experience with Google Cloud Data Analytics Products such as BigQuery, Dataflow, Dataproc etc. (or similar cloud-based platforms).
● Experience working within a Linux computing environment, and use of
command-line tools including knowledge of shell/Python scripting for
automating common tasks.
● Previous experience working at startups and/or in fast-paced environments.
● Previous experience as a data engineer or in a similar role.
Advanced programming knowledge using “C/C++” language ·
Development exposure on Linux platform ·
·
Experience in Implementing Data Structures / Algorithms to solve the problems
Should be able to decode the existing legacy system
Need extensive Development expereince in their career
Should be open to learn other technologies like Java & Cloud as per requirement.
RESPONSIBILITIES
- New features developed independently with the ability to document the design after understanding and evaluating the requirements with necessary groundwork on required application components
- Hands-on coding to implement the design for feature completion
- Able to write unit tests that ensures bug free code
- Able to handle the multi-tenant and performance requirements of the new features and applications.
- Integrate the new features with existing modules, deliver ready to use code meeting necessary build requirements and CI/CD requirements.
- Work with other functional groups for product, technology, QA, tech support and deployment team.
QUALIFICATIONS
The ideal candidate must have the following qualifications.
- BE/B.Tech Degree from a reputed institution with at least 7 years of relevant experience
- Hands-on experience with Core Java, J2EE with a good knowledge of its ecosystem
- Experience with JUnit, JMH like performance tuning test tools preferred
- REST API design and development experience. Usage of Swagger or other API spec tools would be preferred. Working knowledge on Spring Boot is a plus
- Hands-on experience with some of the following application components is a plus: Solr, Kafka, OpenTSDB, Elasticsearch, Janus graph or any graph DB.
- Experience with databases such as MongoDB, MySQL or PostgreSQL required.
- Familiarity with continuous integration and build tools such as Jenkins or CircleCI, Maven, Ant required
- Experience building applications using microservices architecture is highly preferred. Knowledge of Kubernetes, Docker would be ideal
- Working knowledge on public clouds like AWS or Google cloud or Azure is a plus
- Experience building scalable systems
- Strong problem solving skills and ability and interest to solve complex problems
- Interest in machine learning (ML) data science is a plus
Selected candidate(s) will lead technology for the company by initially working alongside an outsourced software development team and later on being responsible for current and future software development.
Opportunity to earn ESOP / equity based on experience and performance. We're looking for candidates who are hungry to learn, can apply themselves to solve problems using techology and who are looking to make a meaningful impact with their energy and work. If this sounds like you, we'd like to hear from you.
****** Apply only if you know Angular, NODEJS, EXPRESS framework ******
Skills Required:
Problem-solving Approach
Programming Data Structures
Logic & Design concepts
Object Oriented Programming concepts
Familiarity with databases
NodeJS and its framework.
We are looking for an experienced DevOps engineer that will help our team establish DevOps practice. You will work closely with the technical lead to identify and establish DevOps practices in the company. You will also help us build scalable, efficient cloud infrastructure. You’ll implement monitoring for automated system health checks. Lastly, you’ll build our CI pipeline, and train and guide the team in DevOps practices.
Responsibilities
- Deployment, automation, management, and maintenance of production systems.
- Ensuring availability, performance, security, and scalability of production systems.
- Evaluation of new technology alternatives and vendor products.
- System troubleshooting and problem resolution across various application domains and platforms.
- Providing recommendations for architecture and process improvements.
- Definition and deployment of systems for metrics, logging, and monitoring on the AWS
platform.
- Manage the establishment and configuration of SaaS infrastructure in an agile way
by storing infrastructure as code and employing automated configuration management tools with a goal to be able to re-provision environments at any point in time.
- Be accountable for proper backup and disaster recovery procedures.
- Drive operational cost reductions through service optimizations and demand-based
auto-scaling.
- Have on-call responsibilities.
- Perform root cause analysis for production errors
- Uses open source technologies and tools to accomplish specific use cases encountered
within the project.
- Uses coding languages or scripting methodologies to solve a problem with a custom workflow.
Requirements
- Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.
- Prior experience as a software developer in a couple of high-level programming
languages.
- Extensive experience in any Javascript-based framework since we will be deploying services to NodeJS on AWS Lambda (Serverless)
- Strong Linux system administration background.
- Ability to present and communicate the architecture in a visual form.
- Strong knowledge of AWS (e.g. IAM, EC2, VPC, ELB, ALB, Autoscaling, Lambda, NAT
gateway, DynamoDB)
- Experience maintaining and deploying highly-available, fault-tolerant systems at scale (~
1 Lakh users a day)
- A drive towards automating repetitive tasks (e.g. scripting via Bash, Python, Ruby, etc)
- Expertise with Git
- Experience implementing CI/CD (e.g. Jenkins, TravisCI)
- Strong experience with databases such as MySQL, NoSQL, Elasticsearch, Redis and/or
Mongo.
- Stellar troubleshooting skills with the ability to spot issues before they become problems.
- Current with industry trends, IT ops and industry best practices, and able to identify the
ones we should implement.
- Time and project management skills, with the capability to prioritize and multitask as
needed.







