Cloud DevOps Engineer

Senior DevOps Engineer (8–10 years)

Location: Mumbai

Role Summary

As a Senior DevOps Engineer, you will own end-to-end platform reliability and delivery automation for mission-critical lending systems. You’ll architect cloud infrastructure, standardize CI/CD, enforce DevSecOps controls, and drive observability at scale—ensuring high availability, performance, and compliance consistent with BFSI standards.

Key Responsibilities

Platform & Cloud Infrastructure

• Design, implement, and scale multi-account, multi-VPC cloud architectures on AWS and/or Azure (compute, networking, storage, IAM, RDS, EKS/AKS, Load Balancers, CDN). 
• Champion Infrastructure as Code (IaC) using Terraform (and optionally Pulumi/Crossplane) with GitOps workflows for repeatable, auditable deployments.
• Lead capacity planning, cost optimization, and performance tuning across environments.

CI/CD & Release Engineering

• Build and standardize CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps, ArgoCD) for microservices, data services, and frontends; enable blue‑green/canary releases and feature flags.
• Drive artifact management, environment promotion, and release governance with compliance-friendly controls.

Containers, Kubernetes & Runtime

• Operate production-grade Kubernetes (EKS/AKS), including cluster lifecycle, autoscaling, ingress, service mesh, and workload security; manage Docker/containerd images and registries. 

Reliability, Observability & Incident Management

• Implement end-to-end monitoring, logging, and tracing (Prometheus, Grafana, ELK/EFK, CloudWatch/Log Analytics, Datadog/New Relic) with SLO/SLI error budgets. 
• Establish on-call rotations, run postmortems, and continuously improve MTTR and change failure rate.

Security & Compliance (DevSecOps)

• Enforce cloud and container hardening, secrets management (AWS Secrets Manager / HashiCorp Vault), vulnerability scanning (Snyk/SonarQube), and policy-as-code (OPA/Conftest).
• Partner with infosec/risk to meet BFSI regulatory expectations for DR/BCP, audits, and data protection.

Data, Networking & Edge

• Optimize networking (DNS, TCP/IP, routing, OSI layers) and edge delivery (CloudFront/Fastly), including WAF rules and caching strategies. 
• Support persistence layers (MySQL, Elasticsearch, DynamoDB) for performance and reliability.

Ways of Working & Leadership

• Lead cross-functional squads (Product, Engineering, Data, Risk) and mentor junior DevOps/SREs.
• Document runbooks, architecture diagrams, and operating procedures; drive automation-first culture.

Must‑Have Qualifications

• 8–10 years of total experience with 5+ years hands-on in DevOps/SRE roles.
• Strong expertise in AWS and/or Azure, Linux administration, Kubernetes, Docker, and Terraform.
• Proven track record building CI/CD with Jenkins/GitHub Actions/Azure DevOps/ArgoCD. 
• Solid grasp of networking fundamentals (DNS, TLS, TCP/IP, routing, load balancing).
• Experience implementing observability stacks and responding to production incidents. 
• Scripting in Bash/Python; ability to automate ops workflows and platform tasks. 
• Good‑to‑Have / Preferred
• Exposure to BFSI/fintech systems and compliance standards; DR/BCP planning. 
• Secrets management (Vault), policy-as-code (OPA), and security scanning (Snyk/SonarQube). 
• Experience with GitOps patterns, service tiering, and SLO/SLI design. [illbeback.ai]
• Knowledge of CDNs (CloudFront/Fastly) and edge caching/WAF rule authoring. 
• Education
• Bachelor’s/Master’s in Computer Science, Information Technology, or related field (or equivalent experience).

Required Skills: Advanced AWS Infrastructure Expertise, CI/CD Pipeline Automation, Monitoring, Observability & Incident Management, Security, Networking & Risk Management, Infrastructure as Code & Scripting

Criteria:

• 5+ years of DevOps/SRE experience in cloud-native, product-based companies (B2C scale preferred)
• Strong hands-on AWS expertise across core and advanced services (EC2, ECS/EKS, Lambda, S3, CloudFront, RDS, VPC, IAM, ELB/ALB, Route53)
• Proven experience designing high-availability, fault-tolerant cloud architectures for large-scale traffic
• Strong experience building & maintaining CI/CD pipelines (Jenkins mandatory; GitHub Actions/GitLab CI a plus)
• Prior experience running production-grade microservices deployments and automated rollout strategies (Blue/Green, Canary)
• Hands-on experience with monitoring & observability tools (Grafana, Prometheus, ELK, CloudWatch, New Relic, etc.)
• Solid hands-on experience with MongoDB in production, including performance tuning, indexing & replication
• Strong scripting skills (Bash, Shell, Python) for automation
• Hands-on experience with IaC (Terraform, CloudFormation, or Ansible)
• Deep understanding of networking fundamentals (VPC, subnets, routing, NAT, security groups)
• Strong experience in incident management, root cause analysis & production firefighting

Description

Role Overview

Company is seeking an experienced Senior DevOps Engineer to design, build, and optimize cloud infrastructure on AWS, automate CI/CD pipelines, implement monitoring and security frameworks, and proactively identify scalability challenges. This role requires someone who has hands-on experience running infrastructure at B2C product scale, ideally in media/OTT or high-traffic applications.

 Key Responsibilities

1. Cloud Infrastructure — AWS (Primary Focus)

• Architect, deploy, and manage scalable infrastructure using AWS services such as EC2, ECS/EKS, Lambda, S3, CloudFront, RDS, ELB/ALB, VPC, IAM, Route53, etc.
• Optimize cloud cost, resource utilization, and performance across environments.
• Design high-availability, fault-tolerant systems for streaming workloads.

2. CI/CD Automation

• Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI.
• Automate deployments for microservices, mobile apps, and backend APIs.
• Implement blue/green and canary deployments for seamless production rollouts.

3. Observability & Monitoring

• Implement logging, metrics, and alerting using tools like Grafana, Prometheus, ELK, CloudWatch, New Relic, etc.
• Perform proactive performance analysis to minimize downtime and bottlenecks.
• Set up dashboards for real-time visibility into system health and user traffic spikes.

4. Security, Compliance & Risk Highlighting

• Conduct frequent risk assessments and identify vulnerabilities in:

  o Cloud architecture

  o Access policies (IAM)

  o Secrets & key management

  o Data flows & network exposure

• Implement security best practices including VPC isolation, WAF rules, firewall policies, and SSL/TLS management.

5. Scalability & Reliability Engineering

• Analyze traffic patterns for OTT-specific load variations (weekends, new releases, peak hours).
• Identify scalability gaps and propose solutions across:
•   o Microservices
•   o Caching layers
•   o CDN distribution (CloudFront)
•   o Database workloads
• Perform capacity planning and load testing to ensure readiness for 10x traffic growth.

6. Database & Storage Support

• Administer and optimize MongoDB for high-read/low-latency use cases.
• Design backup, recovery, and data replication strategies.
• Work closely with backend teams to tune query performance and indexing.

7. Automation & Infrastructure as Code

• Implement IaC using Terraform, CloudFormation, or Ansible.
• Automate repetitive infrastructure tasks to ensure consistency across environments.

Required Skills & Experience

Technical Must-Haves

• 5+ years of DevOps/SRE experience in cloud-native, product-based companies.
• Strong hands-on experience with AWS (core and advanced services).
• Expertise in Jenkins CI/CD pipelines.
• Solid background working with MongoDB in production environments.
• Good understanding of networking: VPCs, subnets, security groups, NAT, routing.
• Strong scripting experience (Bash, Python, Shell).
• Experience handling risk identification, root cause analysis, and incident management.

Nice to Have

• Experience with OTT, video streaming, media, or any content-heavy product environments.
• Familiarity with containers (Docker), orchestration (Kubernetes/EKS), and service mesh.
• Understanding of CDN, caching, and streaming pipelines.

Personality & Mindset

• Strong sense of ownership and urgency—DevOps is mission critical at OTT scale.
• Proactive problem solver with ability to think about long-term scalability.
• Comfortable working with cross-functional engineering teams.

Why Join company?

• Build and operate infrastructure powering millions of monthly users.

• Opportunity to shape DevOps culture and cloud architecture from the ground up.

• High-impact role in a fast-scaling Indian OTT product.

We are looking for a DevOps Engineer with hands-on experience in automating, monitoring, and scaling cloud-native infrastructure.

You will play a critical role in building and maintaining high-availability, secure, and scalable CI/CD pipelines for our AI- and blockchain-powered FinTech platforms.

You will work closely with Engineering, QA, and Product teams to streamline deployments, optimize cloud environments, and ensure reliable production systems.

Key Responsibilities

• Design, build, and maintain CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI
• Manage cloud infrastructure using Infrastructure as Code (IaC) tools such as Terraform, Ansible, or CloudFormation
• Deploy, manage, and monitor applications on AWS, Azure, or GCP
• Ensure high availability, scalability, and performance of production environments
• Implement security best practices across infrastructure and DevOps workflows
• Automate environment provisioning, deployments, backups, and monitoring
• Configure and manage containerized applications using Docker and Kubernetes
• Collaborate with developers to improve build, release, and deployment processes
• Monitor systems using tools like Prometheus, Grafana, ELK Stack, or CloudWatch
• Perform root cause analysis (RCA) and support production incident response

Required Skills & Experience

• 2+ years of experience in DevOps, Cloud Engineering, or Infrastructure Automation
• Strong hands-on experience with AWS, Azure, or GCP
• Proven experience in setting up and managing CI/CD pipelines
• Proficiency in Docker, Kubernetes, and container orchestration
• Experience with Terraform, Ansible, or similar IaC tools
• Knowledge of monitoring, logging, and alerting systems
• Strong scripting skills using Shell, Bash, or Python
• Good understanding of Git, version control, and branching strategies
• Experience supporting production-grade SaaS or enterprise platforms

Roles and Responsibilities:

• AWS Cloud Management: Design, deploy, and manage AWS cloud infrastructure. Optimize and maintain cloud resources for performance and cost efficiency. Monitor and ensure the security of cloud-based systems.
• Automated Provisioning: Develop and implement automated provisioning processes for infrastructure deployment. Utilize tools like Terraform and Packer to automate and streamline the provisioning of resources.
• Infrastructure as Code (IaC): Champion the use of Infrastructure as Code principles. Collaborate with development and operations teams to define and maintain IaC scripts for infrastructure deployment and configuration.
• Collaboration and Communication: Work closely with cross-functional teams to understand project requirements and provide DevOps expertise. Communicate effectively with team members and stakeholders regarding infrastructure changes, updates, and improvements.
• Continuous Integration/Continuous Deployment (CI/CD): Implement and maintain CI/CD pipelines to automate software delivery processes. Ensure reliable and efficient deployment of applications through the development lifecycle.
• Performance Monitoring and Optimization: Implement monitoring solutions to track system performance, troubleshoot issues, and optimize resource utilization. Proactively identify opportunities for system and process improvements. 

Mandatory Skills:

• Proven experience as a DevOps Engineer or similar role, with a focus on AWS.
• Strong proficiency in automated provisioning and cloud management.
• Experience with Infrastructure as Code tools, particularly Terraform and Packer.
• Solid understanding of CI/CD pipelines and version control systems.
• Strong scripting skills (e.g., Python, Bash) for automation tasks.
• Excellent problem-solving and troubleshooting skills.
• Good interpersonal and communication skills for effective collaboration.

Secondary Skills:

• AWS certifications (e.g., AWS Certified DevOps Engineer, AWS Certified Solutions Architect).
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Knowledge of microservices architecture and serverless computing.
• Familiarity with monitoring and logging tools (e.g., CloudWatch, ELK stack).

Salesforce DevOps/Release Engineer

Resource type - Salesforce DevOps/Release Engineer

Experience - 5 to 8 years

Norms - PF & UAN mandatory

Resource Availability - Immediate or Joining time in less than 15 days

Job - Remote

Shift timings - UK timing (1pm to 10 pm or 2pm to 11pm)

Required Experience:

• 5–6 years of hands-on experience in Salesforce DevOps, release engineering, or deployment management.
• Strong expertise in Salesforce deployment processes, including CI/CD pipelines.
• Significant hands-on experience with at least two of the following tools: Gearset, Copado,Flosum.
• Solid understanding of Salesforce architecture, metadata, and development lifecycle.
• Familiarity with version control systems (e.g., Git) and agile methodologies

Key Responsibilities:

• Design, implement, and manage CI/CD pipelines for Salesforce deployments using Gearset, Copado, or Flosum.
• Automate and optimize deployment processes to ensure efficient, reliable, and repeatable releases across Salesforce environments.
• Collaborate with development, QA, and operations teams to gather requirements and ensurealignment of deployment strategies.
• Monitor, troubleshoot, and resolve deployment and release issues.
• Maintain documentation for deployment processes and provide training on best practices.
• Stay updated on the latest Salesforce DevOps tools, features, and best practices.

Technical Skills:

• Deployment ToolsHands-on with Gearset, Copado, Flosum for Salesforce deployments
• CI/CDBuilding and maintaining pipelines, automation, and release management
• Version ControlProficiency with Git and related workflows
• Salesforce PlatformUnderstanding of metadata, SFDX, and environment management
• Scripting
• Familiarity with scripting (e.g., Shell, Python) for automation (preferred)
• Communication
• Strong written and verbal communication skills

Preferred Qualifications:

Bachelor’s degree in Computer Science, Information Technology, or related field.

Certifications:

Salesforce certifications (e.g., Salesforce Administrator, Platform Developer I/II) are a plus.

Experience with additional DevOps tools (Jenkins, GitLab, Azure DevOps) is beneficial.

Experience with Salesforce DX and deployment strategies for large-scale orgs. 

DevOps Engineer

Our engineering team is looking for Big-Data DevOps engineers 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.

Responsibilities

• 3-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, Terraform, 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

DevOps Systems Engineer with experience in Docker Containers, Docker Swarm, Docker Compose, Ansible, Jenkins and other tools. As part of this role she/he must work with the container best practices in design, development and implementation.

At Least 4 Years of experience in DevOps with knowledge of:

• Docker
• Docker Cloud / Containerization
• DevOps Best Practices
• Distributed Applications
• Deployment Architecture
• Atleast AWS Experience
• Exposure to Kubernetes / Serverless Architecture

Skills:

• 3-7+ years of experience in DevOps Engineering
• Strong experience with Docker Containers, Implementing Docker Containers, Container Clustering
• Experience with Docker Swarm, Docker Compose, Docker Engine
• Experience with Provisioning and managing VM's - Virtual Machines
• Experience / strong knowledge with Network Topologies, Network Research,
• Jenkins, BitBucket, Jira
• Ansible or other Automation Configuration Management System tools
• Scripting & Programming using languages such as BASH, Perl, Python, AWK, SED, PHP, Shell
• Linux Systems Administration -: Redhat

Additional Preference:

Security, SSL configuration, Best Practices

1. Proficiency in Python , Django and Other Allied Frameworks;
2. Expert in designing UI/UX interfaces;
3. Expert in testing, troubleshooting, debugging and problem solving;
4. Basic knowledge of SEO;
5. Good communication;
6. Team building and good acumen;
7. Ability to perform; 
8. Continuous learning

DevOps Engineer 

Notice Period: 45 days / Immediate Joining

Banyan Data Services (BDS) is a US-based Infrastructure services Company, headquartered in San Jose, California, USA. It provides full-stack managed services to support business applications and data infrastructure. We do provide the data solutions and services on bare metal, On-prem, and all Cloud platforms. Our engagement service is built on the DevOps standard practice and SRE model.

We are looking for a DevOps Engineer to help us build functional systems that improve customer experience. we offer you an opportunity to join our rocket ship startup, run by a world-class executive team. We are looking for candidates that aspire to be a part of the cutting-edge solutions and services we offer, that address next-gen data evolution challenges. Candidates who are willing to use their experience in areas directly related to Infrastructure Services, Software as Service, and Cloud Services and create a niche in the market.

Key Qualifications

· 4+ years of experience as a DevOps Engineer with monitoring, troubleshooting, and diagnosing infrastructure systems.

· Experience in implementation of continuous integration and deployment pipelines using Jenkins, JIRA, JFrog, etc

· Strong experience in Linux/Unix administration.

· Experience with automation/configuration management using Puppet, Chef, Ansible, Terraform, or other similar tools.

· Expertise in multiple coding and scripting languages including Shell, Python, and Perl

· Hands-on experience Exposure to modern IT infrastructure (eg. Docker swarm/Mesos/Kubernetes/Openstack)

· Exposure to any of relation database technologies MySQL/Postgres/Oracle or any No-SQL database

· Worked on open-source tools for logging, monitoring, search engine, caching, etc.

· Professional Certificates in AWS or any other cloud is preferable

· Excellent problem solving and troubleshooting skills

· Must have good written and verbal communication skills

Key Responsibilities

Ambitious individuals who can work under their own direction towards agreed targets/goals.

 Must be flexible to work on the office timings to accommodate the multi-national client timings.

 Will be involved in solution designing from the conceptual stages through development cycle and deployments.

 Involve development operations & support internal teams

 Improve infrastructure uptime, performance, resilience, reliability through automation

 Willing to learn new technologies and work on research-orientated projects

 Proven interpersonal skills while contributing to team effort by accomplishing related results as needed.

 Scope and deliver solutions with the ability to design solutions independently based on high-level architecture.

 Independent thinking, ability to work in a fast-paced environment with creativity and brainstorming

http://www.banyandata.com" target="_blank">www.banyandata.com 

About Us

We have grown over 1400% in revenues in the last year.

Interface.ai provides an Intelligent Virtual Assistant (IVA) to FIs to automate calls and customer inquiries across multiple channels and engage their customers with financial insights and upsell/cross-sell.

Our IVA is transforming financial institutions’ call centers from a cost to a revenue center.

Our core technology is built 100% in-house with several breakthroughs in Natural Language Understanding. Our parser is built based on zero-shot learning that helps us to launch industry-specific IVA that can achieve over 90% accuracy on Day-1. 

We are 45 people strong with employees spread across India and US locations. Many of them come from ML teams at Apple, Microsoft, and Salesforce in the US along with enterprise architects with over 20+ years of experience building large-scale systems. Our India team consists of people from ISB, IIMs, and many who have been previously part of early-stage startups. 

We are a fully remote team.

Founders come from Banking and Enterprise Technology backgrounds with previous experience scaling companies from scratch to $50M+ in revenues.

As a Site Reliability Engineer you will be in charge of:

• Designing, analyzing and troubleshooting large-scale distributed systems
• Engaging in cross-functional team discussions on design, deployment, operation, and maintenance,  in a fast-moving, collaborative set up
• Building automation scripts to validate the stability, scalability, and reliability of interface.ai’s products & services as well as enhance interface.ai’s employees’ productivity
• Debugging and optimizing code and automating routine tasks
• Troubleshoot and diagnose issues (hardware or software), propose and implement solutions to ensure they occur with reduced frequency
• Perform the periodic on-call duty to handle security, availability, and reliability of interface.ai’s products 
• You will follow and write good code and solid engineering practices

You can be a great fit if you are :

1. Extremely self motivated
2. Ability to learn quickly
3. Growth Mindset (read this if you don't know what it means - https://www.amazon.com/Mindset-Psychology-Carol-S-Dweck/dp/0345472322" target="_blank">link)
4. Emotional Maturity (read this if you don't know what it means - https://medium.com/@krisgage/15-signs-of-emotional-maturity-38b1a2ab9766" target="_blank">link)
5. Passionate about the possibilities at the intersection of AI + Banking
6. Worked in a startup of 5 to 30 employees
7. Developer with a strong interest in systems Design. You will be building, maintaining, and scaling our cloud infrastructure through software tooling and automation. 
8. 4-8 years of industry experience developing and troubleshooting large-scale infrastructure on the cloud
9. Have a solid understanding of system availability, latency, and performance
10. Strong programming skills in at least one major programming language and the ability to learn new languages as needed  
11. Strong System/network debugging skills
12. Experience with management/automation tools such as Terraform/Puppet/Chef/SALT
13. Experience with setting up production-level monitoring and telemetry
14. Expertise in Container management & AWS
15. Experience with kubernetes is a plus
16. Experience building CI/CD pipelines
17. Experience working with Web sockets, Redis, Postgres, Elastic search, Logstash
18. Experience working in an agile team environment and proficient understanding of code versioning tools, such as Git.
19. Ability to effectively articulate technical challenges and solutions.
20. Proactive outlook for ways to make our systems more reliable