DevOps Engineer

Key Responsibilities:

• Lead the architecture, design, and implementation of scalable, secure, and highly available AWS infrastructure leveraging services such as VPC, EC2, IAM, S3, SNS/SQS, EKS, KMS, and Secrets Manager.
• Develop and maintain reusable, modular IaC frameworks using Terraform and Terragrunt, and mentor team members on IaC best practices.
• Drive automation of infrastructure provisioning, deployment workflows, and routine operations through advanced Python scripting.
• Take ownership of cost optimization strategy by analyzing usage patterns, identifying savings opportunities, and implementing guardrails across multiple AWS environments.
• Define and enforce infrastructure governance, including secure access controls, encryption policies, and secret management mechanisms.
• Collaborate cross-functionally with development, QA, and operations teams to streamline and scale CI/CD pipelines for containerized microservices on Kubernetes (EKS).
• Establish monitoring, alerting, and observability practices to ensure platform health, resilience, and performance.
• Serve as a technical mentor and thought leader, guiding junior engineers and shaping cloud adoption and DevOps culture across the organization.
• Evaluate emerging technologies and tools, recommending improvements to enhance system performance, reliability, and developer productivity.
• Ensure infrastructure complies with security, regulatory, and operational standards, and drive initiatives around audit readiness and compliance.

Mandatory Skills & Experience:

• AWS (Advanced Expertise): VPC, EC2, IAM, S3, SNS/SQS, EKS, KMS, Secrets Management
• Infrastructure as Code: Extensive experience with Terraform and Terragrunt, including module design and IaC strategy
• Strong hold in Kubernetes
• Scripting & Automation: Proficient in Python, with a strong track record of building tools, automating workflows, and integrating cloud services
• Cloud Cost Optimization: Proven ability to analyze cloud spend and implement sustainable cost control strategies
• Leadership: Experience in leading DevOps/infrastructure teams or initiatives, mentoring engineers, and making architecture-level decisions

Nice to Have:

• Experience designing or managing CI/CD pipelines for Kubernetes-based environments
• Backend development background in Python (e.g., FastAPI, Flask)
• Familiarity with monitoring/observability tools such as Prometheus, Grafana, CloudWatch
• Understanding of system performance tuning, capacity planning, and scalability best practices
• Exposure to compliance standards such as SOC 2, HIPAA, or ISO 27001

Key Responsibilities:-

• Collaborate with Data Scientists to test and scale new algorithms through pilots and later industrialize the solutions at scale to the comprehensive fashion network of the Group

• Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service to provide an e2e solution

• Leverage an understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof code

• Design, develop and maintain the framework for the analytical pipeline

• Develop common components to address pain points in machine learning projects, like model lifecycle management, feature store and data quality evaluation

• Provide input and help implement framework and tools to improve data quality

• Work in cross-functional agile teams of highly skilled software/machine learning engineers, data scientists, designers, product managers and others to build the AI ecosystem within the Group

• Deliver on time, demonstrating a strong commitment to deliver on the team mission and agreed backlog

• 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

Hiring for a funded fintech startup based out of Bangalore!!!

Our Ideal Candidate

We are looking for a Senior DevOps engineer to join the engineering team and help us automate the build, release, packaging and infrastructure provisioning and support processes. The candidate is expected to own the full life-cycle of provisioning, configuration management, monitoring, maintenance and support for cloud as well as on-premise deployments.

Requirements

• 5-plus years of DevOps experience managing the Big Data application stack including HDFS, YARN, Spark, Hive and Hbase
• Deeper understanding of all the configurations required for installing and maintaining the infrastructure in the long run
• Experience setting up high availability, configuring resource allocation, setting up capacity schedulers, handling data recovery tasks
• Experience with middle-layer technologies including web servers (httpd, ningx), application servers (Jboss, Tomcat) and database systems (postgres, mysql)
• Experience setting up enterprise security solutions including setting up active directories, firewalls, SSL certificates, Kerberos KDC servers, etc.
• Experience maintaining and hardening the infrastructure by regularly applying required security packages and patches
• Experience supporting on-premise solutions as well as on AWS cloud
• Experience working with and supporting Spark-based applications on YARN
• Experience with one or more automation tools such as Ansible, Teraform, etc
• Experience working with CI/CD tools like Jenkins and various test report and coverage plugins
• Experience defining and automating the build, versioning and release processes for complex enterprise products
• Experience supporting clients remotely and on-site
• Experience working with and supporting Java- and Python-based tech stacks would be a plus

Desired Non-technical Requirements

• Very strong communication skills both written and verbal
• Strong desire to work with start-ups
• Must be a team player

Job Perks

• Attractive variable compensation package
• Flexible working hours – everything is results-oriented
• Opportunity to work with an award-winning organization in the hottest space in tech – artificial intelligence and advanced machine learning

Striim (pronounced “stream” with two i’s for integration and intelligence) was founded in 2012 with a simple goal of helping companies make data useful the instant it’s born.

Striim’s enterprise-grade, streaming integration with intelligence platform makes it easy to build continuous, streaming data pipelines – including change data capture (CDC) – to power real-time cloud integration, log correlation, edge processing, and streaming analytics

2 - 5 Years of Experience in any Programming any language (Polyglot Preferred ) & System Operations • Awareness of Devops & Agile Methodologies • Proficient in leveraging CI and CD tools to automate testing and deployment . • Experience in working in an agile and fast paced environment . • Hands on knowledge of at least one cloud platform (AWS / GCP / Azure). • Cloud networking knowledge: should understand VPC, NATs, and routers. • Contributions to open source is a plus. • Good written communication skills are a must. Contributions to technical blogs / whitepapers will be an added advantage.