
True to its name, is on a mission to unlock $100+ billion of trapped working capital in the economy by creating India’s largest marketplace for invoice discounting to solve the day-to-day. problems faced by businesses. Founded by ex-BCG and ISB / IIM alumni, and backed by SAIF Partners, CashFlo helps democratize access to credit in a fair and transparent manner. Awarded Supply Chain Finance solution of the year in 2019, CashFlo creates a win-win ecosystem for Buyers, suppliers
and financiers through its unique platform model. CashFlo shares its parentage with HCS Ltd., a 25 year old, highly reputed financial services company has raised over Rs. 15,000 Crores in the market till date,
for over 200 corporate clients.
Our leadership team consists of ex-BCG, ISB / IIM alumni with a team of industry veterans from financial services serving as the advisory board. We bring to the table deep insights in the SME lending
space, based on 100+ years of combined experience in Financial Services. We are a team of passionate problem solvers, and are looking for like-minded people to join our team.
The challenge
Solve a complex $300+ billion problem at the cutting edge of Fintech innovation, and make a tangible difference to the small business landscape in India.Find innovative solutions for problems in a yet to be discovered market.
Key Responsibilities
As an early team member, you will get a chance to set the foundations of our engineering culture. You will help articulate our engineering
principles and help set the long-term roadmap. Making decisions on the evolution of CashFlo's technical architectureBuilding new features end to end, from talking to customers to writing code.
Our Ideal Candidate Will Have
3+ years of full-time DevOps engineering experience
Hands-on experience working with AWS services
Deep understanding of virtualization and orchestration tools like Docker, ECS
Experience in writing Infrastructure as Code using tools like CDK, Cloud formation, Terragrunt or Terraform
Experience using centralized logging & monitoring tools such as ELK, CloudWatch, DataDog
Built monitoring dashboards using Prometheus, Grafana
Built and maintained code pipelines and CI/CD
Thorough knowledge of SDLC
Been part of teams that have maintained large deployments
About You
Product-minded. You have a sense for great user experience and feel for when something is off. You love understanding customer pain points
and solving for them.
Get a lot done. You enjoy all aspects of building a product and are comfortable moving across the stack when necessary. You problem solve
independently and enjoy figuring stuff out.
High conviction. When you commit to something, you're in all the way. You're opinionated, but you know when to disagree and commit.
Mediocrity is the worst of all possible outcomes.
Whats in it for me
Gain exposure to the Fintech space - one of the largest and fastest growing markets in India and globally
Shape India’s B2B Payments landscape through cutting edge technology innovation
Be directly responsible for driving company’s success
Join a high performance, dynamic and collaborative work environment that throws new challenges on a daily basis
Fast track your career with trainings, mentoring, growth opportunities on both IC and management track
Work-life balance and fun team events

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Location: Bangalore
Experience: 2–5 years
Type: Full-time | On-site
Open Roles: 1
Start: Immediate
Why this role exists
Most engineering teams choose between speed and stability.
We need both.
Today:
- Deployments carry risk
- Cloud costs are higher than they should be
- Compliance is reactive, not built-in
This role exists to build a platform where:
- We can deploy fast without breaking production
- We can scale without runaway cost
- We can pass enterprise InfoSec reviews without firefighting
What you’ll do
You will not just manage infrastructure.
You will build the platform that engineering runs on.
1. Drive cloud cost efficiency
- Reduce Azure compute spend by 40%
- Implement:
- Reserved Instances / savings plans
- Right-sizing of workloads
- Scheduling for non-critical workloads
- Continuously monitor and optimize cost vs performance
2. Build zero-downtime deployment systems
- Ship a deployment pipeline that supports:
- 5+ production deployments per week
- Zero customer-visible downtime
- Implement:
- Blue-green / canary deployments
- Automated health checks
- Safe rollout strategies
3. Enable fast and safe releases
- Reduce time-to-launch significantly
- Ensure:
- High reliability in every release
- Ability to rollback instantly if something breaks
- Create systems where:
- Scaling up is seamless when things go right
- Failures are contained when they don’t
4. Build disaster recovery and compliance readiness
- Create DR/BCP systems that pass enterprise audits from:
- HDFC Life, SBI Life
- Ensure:
- Backup and recovery processes are defined and tested
- Failover strategies are documented and executable
- Build compliance as part of the system, not an afterthought
5. Embed security into the pipeline
- Integrate:
- SAST (Static Application Security Testing)
- DAST (Dynamic Application Security Testing)
- SCA (Software Composition Analysis)
- Secret scanning
- Container scanning
- IaC scanning
- Ensure vulnerabilities are caught before deployment
6. Enforce policy-as-code
- Implement:
- OPA / Gatekeeper
- Azure Policy
- Prevent non-compliant infrastructure from being deployed
- Ensure consistency across environments
7. Build a scalable platform layer
- Create systems that:
- Support increasing deployment frequency
- Maintain reliability under scale
- Work closely with backend and SRE teams to:
- Improve system stability
- Reduce operational overhead
What success looks like
- Cloud costs reduce by ≥ 40%
- Deployments are:
- Frequent
- Safe
- Invisible to customers
- Rollbacks are instant and reliable
- DR/BCP passes enterprise audits in the first attempt
- Security is embedded in the pipeline, not patched later
- Engineering teams ship faster with confidence
Who you are
- You have 2-5 years of experience in DevOps / Platform Engineering
- You have worked with:
- Cloud platforms (Azure preferred)
- CI/CD systems
- Infrastructure as Code
- You think in:
- Systems
- Trade-offs (speed vs reliability vs cost)
- You are comfortable owning:
- Production infrastructure
- Deployment systems
What will make you stand out
- Experience with:
- High-frequency deployment systems
- Cost optimization at scale
- Security-first pipelines
- Strong understanding of:
- Kubernetes / container orchestration
- Monitoring and observability
- Distributed system reliability
- Experience passing enterprise security/compliance audits
Why join
- You will define how engineering ships and scales
- Your work directly impacts:
- Reliability
- Cost
- Deployment velocity
- You will build a platform that moves from:
- Fragile → predictable and scalable
What this role is not
- Not manual infra management
- Not reactive firefighting
- Not limited to CI/CD maintenance
What this role is
- A builder of deployment systems
- A driver of cost efficiency
- A guardian of reliability and compliance
One question to self-evaluate
Can you build a platform where we deploy faster, spend less, and never break production?
Key Responsibilities:
- Design, implement, and maintain scalable, secure, and cost-effective infrastructure on AWS and Azure
- Set up and manage CI/CD pipelines for smooth code integration and delivery using tools like GitHub Actions, Bitbucket Runners, AWS Code build/deploy, Azure DevOps, etc.
- Containerize applications using Docker and manage orchestration with Kubernetes, ECS, Fargate, AWS EKS, Azure AKS.
- Manage and monitor production deployments to ensure high availability and performance
- Implement and manage CDN solutions using AWS CloudFront and Azure Front Door for optimal content delivery and latency reduction
- Define and apply caching strategies at application, CDN, and reverse proxy layers for performance and scalability
- Set up and manage reverse proxies and Cloudflare WAF to ensure application security and performance
- Implement infrastructure as code (IaC) using Terraform, CloudFormation, or ARM templates
- Administer and optimize databases (RDS, PostgreSQL, MySQL, etc.) including backups, scaling, and monitoring
- Configure and maintain VPCs, subnets, routing, VPNs, and security groups for secure and isolated network setups
- Implement monitoring, logging, and alerting using tools like CloudWatch, Grafana, ELK, or Azure Monitor
- Collaborate with development and QA teams to align infrastructure with application needs
- Troubleshoot infrastructure and deployment issues efficiently and proactively
- Ensure cloud cost optimization and usage tracking
Required Skills & Experience:
- 3-4 years of hands-on experience in a DevOps
- Strong expertise with both AWS and Azure cloud platforms
- Proficient in Git, branching strategies, and pull request workflows
- Deep understanding of CI/CD concepts and experience with pipeline tools
- Proficiency in Docker, container orchestration (Kubernetes, ECS/EKS/AKS)
- Good knowledge of relational databases and experience in managing DB backups, performance, and migrations
- Experience with networking concepts including VPC, subnets, firewalls, VPNs, etc.
- Experience with Infrastructure as Code tools (Terraform preferred)
- Strong working knowledge of CDN technologies: AWS CloudFront and Azure Front Door
- Understanding of caching strategies: edge caching, browser caching, API caching, and reverse proxy-level caching
- Experience with Cloudflare WAF, reverse proxy setups, SSL termination, and rate-limiting
- Familiarity with Linux system administration, scripting (Bash, Python), and automation tools
- Working knowledge of monitoring and logging tools
- Strong troubleshooting and problem-solving skills
Good to Have (Bonus Points):
- Experience with serverless architecture (e.g., AWS Lambda, Azure Functions)
- Exposure to cost monitoring tools like CloudHealth, Azure Cost Management
- Experience with compliance/security best practices (SOC2, ISO, etc.)
- Familiarity with Service Mesh (Istio, Linkerd) and API gateways
- Knowledge of Secrets Management tools (e.g., HashiCorp Vault, AWS Secrets Manager)
Sr.DevOps Engineer (5 to 8 yrs. Exp.)
Location: Ahmedabad
- Strong Experience in Infrastructure provisioning in cloud using Terraform & AWS CloudFormation Templates.
- Strong Experience in Serverless Containerization technologies such as Kubernetes, Docker etc.
- Strong Experience in Jenkins & AWS Native CI/CD implementation using code
- Strong Experience in Cloud operational automation using Python, Shell script, AWS CLI, AWS Systems Manager, AWS Lamnda, etc.
- Day to Day AWS Cloud administration tasks
- Strong Experience in Configuration management using Ansible and PowerShell.
- Strong Experience in Linux and any scripting language must required.
- Knowledge of Monitoring tool will be added advantage.
- Understanding of DevOps practices which involves Continuous Integration, Delivery and Deployment.
- Hands on with application deployment process
Key Skills: AWS, terraform, Serverless, Jenkins,Devops,CI/CD,Python,CLI,Linux,Git,Kubernetes
Role: Software Developer
Industry Type: IT-Software, Software Services
FunctionalArea:ITSoftware- Application Programming, Maintenance
Employment Type: Full Time, Permanent
Education: Any computer graduate.
Salary: Best in Industry.Required qualifications and must have skills
-
5+ years of experience managing a team of 5+ infrastructure software engineers
-
5+ years of experience in building and scaling technical infrastructure
-
5+ years of experience in delivering software
-
Experience leading by influence in multi-team, cross-functional projects
-
Demonstrated experience recruiting and managing technical teams, including performance management and managing engineers
-
Experience with cloud service providers such as AWS, GCP, or Azure
-
Experience with containerization technologies such as Kubernetes and Docker
Nice to have Skills
-
Experience with Hadoop, Hive and Presto
-
Application/infrastructure benchmarking and optimization
-
Familiarity with modern CI/CD practices
-
Familiarity with reliability best practices

Platform Services Engineer
DevSecOps Engineer
- Strong Systems Experience- Linux, networking, cloud, APIs
- Scripting language Programming - Shell, Python
- Strong Debugging Capability
- AWS Platform -IAM, Network,EC2, Lambda, S3, CloudWatch
- Knowledge on Terraform, Packer, Ansible, Jenkins
- Observability - Prometheus, InfluxDB, Dynatrace,
- Grafana, Splunk • DevSecOps-CI/CD - Jenkins
- Microservices
- Security & Access Management
- Container Orchestration a plus - Kubernetes, Docker etc.
- Big Data Platforms knowledge EMR, Databricks. Cloudera a plus
Designation - DevOps Engineer
Urgently required. (NP of maximum 15 days)
Location:- Mumbai
Experience:- 3-5 years.
Package Offered:- Rs.4,00,000/- to Rs.7,00,000/- pa.
DevOps Engineer Job Description:-
Responsibilities
- Deploy updates and fixes
- Provide Level 2 technical support
- Build tools to reduce occurrences of errors and improve customer & client experience
- Develop software to integrate with internal back-end systems
- Perform root cause analysis for production errors
- Investigate and resolve technical issues
- Develop scripts to automate visualization
- Design procedures for system troubleshooting and maintenance
Requirements
- Work experience as a DevOps Engineer or similar software engineering role
- Work experience on AWS
- Good knowledge of Ruby or Python
- Working knowledge of databases and SQL
- Problem-solving attitude
- Team spirit
- BSc in Computer Science, Engineering or relevant field
About the job
Our goal
We are reinventing the future of MLOps. Censius Observability platform enables businesses to gain greater visibility into how their AI makes decisions to understand it better. We enable explanations of predictions, continuous monitoring of drifts, and assessing fairness in the real world. (TLDR build the best ML monitoring tool)
The culture
We believe in constantly iterating and improving our team culture, just like our product. We have found a good balance between async and sync work default is still Notion docs over meetings, but at the same time, we recognize that as an early-stage startup brainstorming together over calls leads to results faster. If you enjoy taking ownership, moving quickly, and writing docs, you will fit right in.
The role:
Our engineering team is growing and we are looking to bring on board a senior software engineer who can help us transition to the next phase of the company. As we roll out our platform to customers, you will be pivotal in refining our system architecture, ensuring the various tech stacks play well with each other, and smoothening the DevOps process.
On the platform, we use Python (ML-related jobs), Golang (core infrastructure), and NodeJS (user-facing). The platform is 100% cloud-native and we use Envoy as a proxy (eventually will lead to service-mesh architecture).
By joining our team, you will get the exposure to working across a swath of modern technologies while building an enterprise-grade ML platform in the most promising area.
Responsibilities
- Be the bridge between engineering and product teams. Understand long-term product roadmap and architect a system design that will scale with our plans.
- Take ownership of converting product insights into detailed engineering requirements. Break these down into smaller tasks and work with the team to plan and execute sprints.
- Author high-quality, highly-performance, and unit-tested code running on a distributed environment using containers.
- Continually evaluate and improve DevOps processes for a cloud-native codebase.
- Review PRs, mentor others and proactively take initiatives to improve our team's shipping velocity.
- Leverage your industry experience to champion engineering best practices within the organization.
Qualifications
Work Experience
- 3+ years of industry experience (2+ years in a senior engineering role) preferably with some exposure in leading remote development teams in the past.
- Proven track record building large-scale, high-throughput, low-latency production systems with at least 3+ years working with customers, architecting solutions, and delivering end-to-end products.
- Fluency in writing production-grade Go or Python in a microservice architecture with containers/VMs for over 3+ years.
- 3+ years of DevOps experience (Kubernetes, Docker, Helm and public cloud APIs)
- Worked with relational (SQL) as well as non-relational databases (Mongo or Couch) in a production environment.
- (Bonus: worked with big data in data lakes/warehouses).
- (Bonus: built an end-to-end ML pipeline)
Skills
- Strong documentation skills. As a remote team, we heavily rely on elaborate documentation for everything we are working on.
- Ability to motivate, mentor, and lead others (we have a flat team structure, but the team would rely upon you to make important decisions)
- Strong independent contributor as well as a team player.
- Working knowledge of ML and familiarity with concepts of MLOps
Benefits
- Competitive Salary
- Work Remotely
- Health insurance
- Unlimited Time Off
- Support for continual learning (free books and online courses)
- Reimbursement for streaming services (think Netflix)
- Reimbursement for gym or physical activity of your choice
- Flex hours
- Leveling Up Opportunities
You will excel in this role if
- You have a product mindset. You understand, care about, and can relate to our customers.
- You take ownership, collaborate, and follow through to the very end.
- You love solving difficult problems, stand your ground, and get what you want from engineers.
- Resonate with our core values of innovation, curiosity, accountability, trust, fun, and social good.
- Experience working in advanced iterative methodologies such as Agile and Safe.
- Experience with containers and orchestration (Docker, Kubernetes).
- Comfortable working in complex and demanding environments with high degree of change.
- Ability to view system perspective and to perform thorough investigations.
- Experience in frequent delivery to production.
- Microservice-based architecture (Jenkins, Docker, CI/CD, ELK)
- Experience with modern software components (Mongo, Elasticsearch, Kafka).
- Expertise in software development methodologies.
- Understanding of protocols/technologies like HTTP, SSL, LDAP, SSH, SAML, etc.
- Possession of a deep knowledge of development workflows with Git.
- Experience with MySQL or another relational database Environment.
- Automation testing (component, integration and end2end)
- Administration and Support for Azure DevOps Server/Services
- Migration from Azure DevOps Server to Azure DevOps Services (SaaS)
- Process Template Customization and Deployment model
- Migration, Upgrade, Monitor, and Maintenance of ADS Instance
- Automation using REST API to build Extensions and Custom Reporting
- Expert in all Modules of Azure DevOps Server/Service (Work Item, SCM/VC, Build, Release, Test, Reporting Management)"
- CICD Orchestration tools and other SCM/VC tools
- Microsoft MCSD Application Lifecycle Management certified
- A bachelor or master degree with a minimum of 6 years relevant work experience in Azure DevOps Server/Services (SaaS)
- Good communication skills
- Strong knowledge of application lifecycle workflows and processes involved in the design, development, deployment, test, and maintenance of software systems in the Windows environment
- Visual Studio and the .NET Framework experience is required "
- Administration and Support for Azure DevOps Server/Services
- Migration from Azure DevOps Server to Azure DevOps Services (SaaS)
- Process Template Customization and Deployment model
- Work with the user community to adopt new features, enable new use cases, and help resolve any issues
- Create customizations and tools to help support the team’s needs (PM, Dev, Test, & Ops)
- Take the lead in the validation of the application.
- Monitor the health of the solution and take proactive steps to ensure reliable availability and performance
- Manage patches and updates for tooling solutions and related hosting environments including the operating system
- Automate the process for Maintenance"
Job Dsecription: (8-12 years)
○ Develop best practices for team and also responsible for the architecture
○ solutions and documentation operations in order to meet the engineering departments quality and standards
○ Participate in production outage and handle complex issues and works towards Resolution
○ Develop custom tools and integration with existing tools to increase engineering Productivity
Required Experience and Expertise
○ Deep understanding of Kernel, Networking and OS fundamentals
○ Strong experience in writing helm charts.
○ Deep understanding of K8s.
○ Good knowledge in service mesh.
○ Good Database understanding
Notice Period: 30 day max










