
Post-Sales Engineer – Cisco SSE (Secure Service Edge)
Job Title: L2 Post-Sales Engineer – Cisco SSE (Secure Service Edge)
Department: Cybersecurity / Network Security
Location: Bangalore
Job Type: Full time
Gross Salary: 10 - 12 LPA
Experience: 3–5 Years
Key Responsibilities:
- Lead partial or full deployment of Cisco SSE components under guidance from senior engineers.
- Configure and optimize Cisco (ZTNA, SASE, SWG, CASB).
- Assist in integrating Cisco SD-WAN (Viptela/Meraki) into SSE frameworks.
- Perform Level 2 troubleshooting, including analysing logs, policy behaviour, and network flow.
- Engage directly with client IT teams to provide remote support, training, and resolution planning.
- Contribute to maintaining solution documentation, run books, and knowledge base.
- Participate in upgrade/migration projects and post-deployment optimization efforts.
Technical Skills Required:
- Good understanding of Cisco SD-WAN (routing, security policies, cloud integration).
- Familiarity with SASE architecture, ZTNA, SWG, CASB, and cloud security posture.
- Ability to perform log analysis, packet capture interpretation, and root cause diagnosis.
- Comfort with CLI and web-based interfaces of security/networking tools.
- Basic scripting/automation (Python, Shell) experience is a plus.
Certifications (Preferred but Not Mandatory):
- Cisco Certified Specialist – Security Core / CCNP Security
- Cisco Umbrella and Duo product training/certification
- Other SASE/SSE vendor exposure (Zscaler, Prisma, Netskope) is a plus

About Inflow Technologies
About
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Job Title: Senior Devops Engineer (Full-time)
Location: Mumbai, Onsite
Experience Required: 5+ Years
Required Qualifications
● Experience:
○ 5+ years of hands-on experience as a DevOps Engineer or similar role, with
proven expertise in building and customizing Helm charts from scratch (not just
using pre-existing ones).
○ Demonstrated ability to design and whiteboard DevOps pipelines, including
CI/CD workflows for microservices applications.
○ Experience packaging and deploying applications with stateful dependencies
(e.g., databases, persistent storage) in varied environments: on-prem (air-gapped
and non-air-gapped), single-tenant cloud, multi-tenant cloud, and developer trials.
○ Proficiency in managing deployments in Kubernetes clusters, including offline
installations, upgrades via Helm, and adaptations for client restrictions (e.g., no
additional tools or VMs).
○ Track record of handling client interactions, such as asking probing questions
about infrastructure (e.g., OS versions, storage solutions, network restrictions)
and explaining technical concepts clearly.
● Technical Skills:
○ Strong knowledge of Helm syntax and functionalities (e.g., Go templating, hooks,
subcharts, dependency management).
○ Expertise in containerization with Docker, including image management
(save/load, registries like Harbor or ECR).
○ Familiarity with CI/CD tools such as Jenkins, ArgoCD, GitHub Actions, and
GitOps for automated and manual deployments.
○ Understanding of storage solutions for on-prem and cloud, including object/file
storage (e.g., MinIO, Ceph, NFS, cloud-native like S3/EBS).
○ In-depth knowledge of Kubernetes concepts: StatefulSets, PersistentVolumes,
namespaces, HPA, liveness/readiness probes, network policies, and RBAC.
○ Solid grasp of cloud networking: VPCs (definition, boundaries, virtualization via
SDN, differences from private clouds), bare metal vs. virtual machines
(advantages like resource efficiency, flexibility, and scalability).
○ Ability to work in air-gapped environments, preparing offline artifacts and
ensuring self-contained deployment
Candidate must be from a product-based company with experience handling large-scale production traffic.
2. Candidate must have strong Linux expertise with hands-on production troubleshooting and working knowledge of databases and middleware (Mongo, Redis, Cassandra, Elasticsearch, Kafka).
3. Candidate must have solid experience with Kubernetes.
4. Candidate should have strong knowledge of configuration management tools like Ansible, Terraform, and Chef / Puppet. Add on- Prometheus & Grafana etc.
5. Candidate must be an individual contributor with strong ownership.
6. Candidate must have hands-on experience with DATABASE MIGRATIONS and observability tools such as Prometheus and Grafana.
7. Candidate must have working knowledge of Go/Python and Java.
8. Candidate should have working experience on Cloud platform - AWS
9. Candidate should have Minimum 1.5 years stability per organization, and a clear reason for relocation
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.Frontend Web Developer Responsibilities
- UI Development: Develop interactive and responsive web applications using React.
- API Integration: Integrate with RESTful APIs to fetch and display data dynamically.
- AI/ML Integration: Collaborate with AI/ML engineers to integrate AI models into the frontend, providing real-time insights and enhancing data-driven features.
- Dashboard Creation: Design and implement dashboards that provide comprehensive overviews of data, powered by AI/ML insights.
- Graph Integration: Utilize libraries like D3.js, Chart.js, Plotly or Recharts to create interactive and visually appealing graphs and charts.
- Data Comparison: Implement features to compare data across different time periods and datasets.
- User Interaction: Implement AI-driven user interaction features such as chatbots, virtual assistants, and recommendation systems.
- State Management: Implement state management solutions using Redux and Context API.
- Collaboration: Work closely with backend developers to ensure seamless API integration and data flow.
- Performance Optimization: Optimize application performance and ensure cross-browser compatibility.
- User Testing: Conduct user testing and gather feedback to improve UI/UX.
- Code Quality: Write clean, maintainable, and efficient code, participate in code reviews, and provide feedback to peers.
- Documentation: Maintain comprehensive documentation for the frontend codebase and components.
- Industry Trends: Stay up-to-date with the latest industry trends and technologies to ensure the application remains current and competitive

As part of the Cloud Platform / Devops team at Upswing, you will get to work on building state-of-the-art infrastructure for the future. You will also be –
- Building Infrastructure on AWS driven through terraform and building automation tools for deployment, infrastructure management, and observability stack
- Building and Scaling on Kubernetes
- Ensuring the Security of Upswing Cloud Infra
- Building Security Checks and automation to improve overall security posture
- Building automation stack for components like JVM-based applications, Apache Pulsar, MongoDB, PostgreSQL, Reporting Infra, etc.
- Mentoring people across the teams to enable best practices
- Mentoring and guiding team members to upskill and helm them develop work class Fintech Infrastructure
What will you do if you join us?
- Write a lot of code
- Engage in a lot of cross-team collaboration to independently drive forward infrastructure initiatives and Devops practices across the org
- Taking Ownership of existing, ongoing, and future initiatives
- Plan Architecture- for upcoming infrastructure
- Build for Scale, Resiliency & Security
- Introduce best practices wrt Devops & Cloud in the team
- Mentor new/junior team members and eventually build your own team
You should have
- Curiosity for on-the-job learning and experimenting with new technologies and ideas
- A strong background in Linux environment
- Must have Programming skills and Experience
- Strong experience in Cloud technologies, Security and Networking concepts, Multi-cloud environments, etc.
- Experience with at least one scripting language (GoLang/Python/Ruby/Groovy)
- Experience in Terraform is highly desirable but not mandatory
- Experience with Kubernetes and Docker is required
- Understanding of the Java Technologies and Stack
- Any other Devops related experience will be considered
- Hands-on knowledge on various CI-CD tools (Jenkins/TeamCity, Artifactory, UCD, Bitbucket/Github, SonarQube) including setting up of build-deployment automated pipelines.
- Very good knowledge in scripting tools and languages such as Shell, Perl or Python , YAML/Groovy, build tools such as Maven/Gradle.
- Hands-on knowledge in containerization and orchestration tools such as Docker, OpenShift and Kubernetes.
- Good knowledge in configuration management tools such as Ansible, Puppet/Chef and have worked on setting up of monitoring tools (Splunk/Geneos/New Relic/Elk).
- Expertise in job schedulers/workload automation tools such as Control-M or AutoSys is good to have.
- Hands-on knowledge on Cloud technology (preferably GCP) including various computing services and infrastructure setup using Terraform.
- Should have basic understanding on networking, certificate management, Identity and Access Management and Information security/encryption concepts.
- • Should support day-to-day tasks related to platform and environments upkeep such as upgrades, patching, migration and system/interfaces integration.
- • Should have experience in working in Agile based SDLC delivery model, multi-task and support multiple systems/apps.
- • Big-data and Hadoop ecosystem knowledge is good to have but not mandatory.
- Should have worked on standard release, change and incident management tools such as ServiceNow/Remedy or similar
About the Company
- 💰 Early-stage, ed-tech, funded, growing, growing fast
- 🎯 Mission Driven: Make Indonesia competitive on a global scale
- 🥅 Build the best educational content and technology to advance STEM education
- 🥇 Students-First approach
- 🇮🇩 🇮🇳 Teams in India and Indonesia
Skillset 🧗🏼♀️
- You primarily identify as a DevOps/Infrastructure engineer and are comfortable working with systems and cloud-native services on AWS
- You can design, implement, and maintain secure and scalable infrastructure delivering cloud-based services
- You have experience operating and maintaining production systems in a Linux based public cloud environment
- You are familiar with cloud-native concepts - Containers, Lambdas, Orchestration (ECS, Kubernetes)
- You’re in love with system metrics and strive to help deliver improvements to systems all the time
- You can think in terms of Infrastructure as Code to build tools for automating deployment, monitoring, and operations of the platform
- You can be on-call once every few weeks to provide application support, incident management, and troubleshooting
- You’re fairly comfortable with GIT, AWS CLI, python, docker CLI, in general, all things CLI. Oh! Bash scripting too!
- You have high integrity, and you are reliable
What you can expect from us 👌🏼
☮️ Mentorship, growth, great work culture
- Mentorship and continuous improvement are a part of the team’s DNA. We have a battle-tested robust growth framework. You will have people to look up to and people looking up to you
- We are a people-first, high-trust, high-autonomy team
- We live in the TDD, Pair Programming, First Principles world
🌏 Remote done right
- Distributed does not mean working in isolation, feeling alone, being buried in Zoom calls
- Our leadership team has been WFH for 10+ years now and we know how remote teams work. This will be a place to belong
- A good balance between deep focussed work and collaborative work ⚖️
🖥️ Friendly, humane interview process
- 30-minute alignment check and screening call
- A short take-home coding assignment, no more than 2-3 hours. Time is precious
- Pair programming interview. Collaborate, work together. No sitting behind a desk and judging
- In-depth engineering discussion around your skills and career so far
- System design and architecture interview for seniors
What we ask from you👇🏼
- Bring your software engineering — both individual brilliance and collaborative skills
- Bring your good nature — we're building a team that supports each other
- Be vested or interested in the company vision

- Proficiency in Integration of various Azure resources (IaaS and PaaS - SQL DB , App Service , Application Insights , databricks , Storage accounts etc) to deliver an end to end automation.
- Thorough understanding of Continuous integration and continuous delivery using Azure DevOps/VSTS.
- Performing cost analysis of the Azure platform to identify where cost efficiencies could be had.
- Proficiency and thorough understanding of Azure RBAC model.
- Sound understanding of Azure Active directory and conditional access policies.
- Good grasp of Azure governance principles and hands-on experience in rolling out compliance and governance polices.
- Proficiency in developing infrastructure automation scripts in the form of ARM templates and Azure Power Shell scripts which can then be provided to application teams as consumables.
- Effective communication skills, both written and verbal for technical and non-technical audiences.
- Good working and hands on knowledge of Azure IaaS , Vnet , Subnets , Firewalls and NSG. Sound understanding of networking knowledge on DNA and Firewall security like Palo Alto.
- Experience working with Confluence, JIRA, Bitbucket, git, Jenkins, Sonar for collaboration and continuous integration.
- Experience with agile methods, along with having found their limitations and ways to overcome them.
DevOps Engineer Skills Building a scalable and highly available infrastructure for data science Knows data science project workflows Hands-on with deployment patterns for online/offline predictions (server/serverless)
Experience with either terraform or Kubernetes
Experience of ML deployment frameworks like Kubeflow, MLflow, SageMaker Working knowledge of Jenkins or similar tool Responsibilities Owns all the ML cloud infrastructure (AWS) Help builds out an entirely CI/CD ecosystem with auto-scaling Work with a testing engineer to design testing methodologies for ML APIs Ability to research & implement new technologies Help with cost optimizations of infrastructure.
Knowledge sharing Nice to Have Develop APIs for machine learning Can write Python servers for ML systems with API frameworks Understanding of task queue frameworks like Celery








