11+ OSPF Jobs in Mumbai | OSPF Job openings in Mumbai

Primary Skills – SDA, DNAC, Cisco ISE, Routing and switching and Troubleshooting NAC, 802.1x, Supplicant configuration, 

Switching Skills- IOS upgrade, SNMP, VLAN, STP, VSL

Routing Skills-OSPF, BGP, ISIS

Network Monitoring Tools- Cisco Prime (Integration, monitoring, and troubleshooting)

1. Must have hands on experience in Implementing NAC,802.1x (Wired & Wireless)
2. Strong knowledge on CAMPUS LAN Architecture and implementation
3. Hands on experience in Routing, Switching, Cisco SDA, DNAC, Cisco ISE, Assurance
4. Working experience in Cisco prime infra, Monitoring, Integration and Heat map generation
5. Should have detailed technical understanding, troubleshooting of STP protocols (STP, PVST, RSTP, MSTP)
6. Perform IOS upgrades on Switches and WLCs
7. Troubleshoot skills on Quality of Service, Multicast and HSRP, Dot1x protocols, IPSLA
8. Troubleshooting skills on Cisco VSS, VSL and stacking technologies 
9. Should have detailed technical understanding, troubleshooting and support of, Routing protocols (OSPF, BGP), MPLS in an enterprise environment.
10. Perform root cause and troubleshoot network outages
11. Should be proficient in Wireless technology, implementation, and troubleshooting
12. Deliver reports on the actions performed.
13. Hands-on experience with the networking products Like Cisco 6800, 9500,9400,9300, 3800, 2960x and 3650 switches. Juniper EX8200,EX4200,EX3300 and EX2200 switches
14. Strong ability to troubleshoot complex network issues and Identify, diagnose, and resolve different types of network problems.

Secondary Skills –

1. CCNP Certification
2. Project Management: Managing individual network projects within the scope of the Network Team
3. Excellent technical and business communication skills, both oral and written

We are seeking an experienced MLOps Architect who can drive end-to-end implementation of the proposal being prepared for the initiative and also contribute broadly across other enterprise AI/ML programs. This role demands a strong architectural mindset, hands-on technical depth, and the ability to design scalable, cloud-native machine learning operations across traditional ML and modern LLM workflows.

The ideal candidate will bring experience with SageMaker-based MLOps pipelines, evaluation of equivalent tooling stacks, hybrid MLOps/LLMOps automation, CI/CD orchestration, governance, and production-grade scalability patterns.

Must have skills & Qualifications:

• 8+ years working in ML/AI engineering or MLOps roles with strong architecture exposure.
• Strong expertise in AWS cloud-native ML stack, including: SageMaker(primary), ECS, Lambda, API Gateway, CI/CD (CodeBuild/CodePipeline or equivalent)
• Hands-on experience with at least one major MLOps toolset and awareness of alternatives: MLflow, Kubeflow, SageMaker Pipelines, Airflow, BentoML, KServe, Seldon.
• Deep understanding of model lifecycle management (feature engineering->training -> registry -> deployment -> monitoring).
• Experience implementing or supporting LLMOps pipelines, including: prompt versioning, evaluation metrics, automation frameworks.
• Deep understanding of ML lifecycle: data ingestion, feature engineering, training, evaluation, model packaging, CI/CD, drift detection, monitoring, and governance.
• Strong experience with AWS SageMaker (Pipelines, Feature Store, Model Registry, Model Monitor).
• Experience implementing ML CI/CD pipelines including automated training, testing, validation, model promotion, and endpoint deployment.
• Strong SQL and data transformation experience using Snowflake, Databricks, Spark.
• Experience with feature engineering pipelines and Feature Store management.
• Understanding of lineage tracking: training data snapshot, feature versions, code versioning, metadata tracking, reproducibility.
• Hands-on experience with Bedrock, OpenAI, Anthropic, or Llama models.
• Experience with CloudWatch, SageMaker Model Monitor, Prometheus/Grafana.
• Strong foundation in Python and cloud-native development patterns.
• Solid understanding of security best practices, IAM, secrets management, and artifact governance.

Good to have skills:

• Experience with vector databases, RAG pipelines, or multi-agent AI systems.
• Exposure to DevOps and infrastructure-as-code (Terraform, Helm, CDK).
• Hands-on understanding of model drift detection, A/B testing, canary rollouts, and blue-green deployments.
• Familiarity with Observability stacks (Prometheus, Grafana, CloudWatch, OpenTelemetry).
• Knowledge of Lakehouse (Delta/Iceberg/Hudi) architecture.
• Ability to translate business goals into scalable AI/ML platform designs.
• Strong communication and cross-team collaboration skills.
• Ability to guide engineering teams through technical uncertainty and design choices.

Key Responsibilities:

• Architect and implement the MLOps strategy for the programme, ensuring alignment with the project proposal and delivery roadmap.
• Design and own enterprise-grade ML/LLM pipelines covering model training, validation, deployment, versioning, monitoring, and CI/CD automation.
• Build container-oriented ML platforms (EKS-first) while evaluating alternative orchestration tools with similar capabilities (Kubeflow, SageMaker, MLflow, Airflow, etc.).
• Implement hybrid MLOps + LLMOps workflows, including prompt/version governance, evaluation frameworks, and monitoring for LLM-based systems.
• Serve as a technical authority across multiple internal and customer projects, contributing architectural patterns, best practices, and reusable frameworks.
• Enable observability, monitoring, drift detection, lineage tracking, and auditability across ML/LLM systems.
• Collaborate with cross-functional teams — data engineering, platform, DevOps, and client stakeholders — to deliver production-ready ML solutions.
• Ensure all solutions adhere to security, governance, and compliance expectations, particularly around handling cloud services, Kubernetes workloads, and MLOps tools.
• Conduct architecture reviews, troubleshoot complex ML system issues, and guide teams through implementation across cloud-native ML platforms.
• Mentor engineers and provide guidance on modern MLOps tools, platform capabilities, and best practices. 

Cassandra Administrator

Experience: 4+ Years

Location: Hyderabad / Bangalore / Chennai / Mumbai / Pune / Kolkata / Gurgaon

Client: Deloitte

Job Description

We are looking for an experienced Cassandra Administrator with strong expertise in Apache Cassandra and DataStax Enterprise (DSE) environments. The ideal candidate should have hands-on experience in database administration, performance tuning, high availability, and migration activities.

Key Responsibilities

• Install, configure, upgrade, and maintain DSE Cassandra database clusters.
• Monitor database performance and optimize for scalability and availability.
• Set up and manage replication, backup, and recovery processes.
• Perform DSE Cassandra migration from RHEL to AWS Amazon Linux 2023.
• Troubleshoot and resolve database performance issues and outages.
• Collaborate with Development and DevOps teams to provide database support.
• Develop and maintain automation scripts using Shell, Python, or Ansible.
• Create and maintain technical documentation.
• Implement disaster recovery and high-availability solutions.
• Assist in designing highly scalable and fault-tolerant systems.

Required Skills

• 4+ years of experience in NoSQL database administration.
• Strong hands-on experience with Apache Cassandra / DataStax Enterprise (DSE).
• Good understanding of Cassandra architecture, consistency levels, partitioning, compaction, gossip protocol, and snitches.
• Experience with Nodetool, CQLSH, and DataStax OpsCenter.
• Proficiency in Cassandra Query Language (CQL).
• Hands-on experience in performance tuning and troubleshooting.
• Strong knowledge of Linux/Unix environments.
• Experience with Shell scripting or Python.
• Familiarity with AWS and monitoring tools such as Prometheus, Grafana, and ELK Stack.

Nice to Have

• Experience with Ansible.
• Exposure to high availability and disaster recovery solutions.

Notice Period: Immediate to 30 days preferred.

Job Responsibilities:

• Managing and maintaining the efficient functioning of containerized applications and systems within an organization
• Design, implement, and manage scalable Kubernetes clusters in cloud or on-premise environments
• Develop and maintain CI/CD pipelines to automate infrastructure and application deployments, and track all automation processes
• Implement workload automation using configuration management tools, as well as infrastructure as code (IaC) approaches for resource provisioning
• Monitor, troubleshoot, and optimize the performance of Kubernetes clusters and underlying cloud infrastructure
• Ensure high availability, security, and scalability of infrastructure through automation and best practices
• Establish and enforce cloud security standards, policies, and procedures Work agile technologies
• 
  

Primary Requirements:

• Kubernetes: Proven experience in managing Kubernetes clusters (min. 2-3 years)
• Linux/Unix: Proficiency in administering complex Linux infrastructures and services
• Infrastructure as Code: Hands-on experience with CM tools like Ansible, as well as the 
• knowledge of resource provisioning with Terraform or other Cloud-based utilities
• CI/CD Pipelines: Expertise in building and monitoring complex CI/CD pipelines to 
• manage the build, test, packaging, containerization and release processes of software
• Scripting & Automation: Strong scripting and process automation skills in Bash, Python
• Monitoring Tools: Experience with monitoring and logging tools (Prometheus, Grafana)
• Version Control: Proficient with Git and familiar with GitOps workflows.
• Security: Strong understanding of security best practices in cloud and containerized 
• environments.

Skills/Traits that would be an advantage:

• Kubernetes administration experience, including installation, configuration, and troubleshooting
• Kubernetes development experience
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team

Required Skills:

• Experience in systems administration, SRE or DevOps focused role
• Experience in handling production support (on-call)
• Good understanding of the Linux operating system and networking concepts.
• Demonstrated competency with the following AWS services: ECS, EC2, EBS, EKS, S3, RDS, ELB, IAM, Lambda.
• Experience with Docker containers and containerization concepts
• Experience with managing and scaling Kubernetes clusters in a production environment
• Experience building scalable infrastructure in AWS with Terraform.
• Strong knowledge of Protocol-level such as HTTP/HTTPS, SMTP, DNS, and LDAP
• Experience monitoring production systems
• Expertise in leveraging Automation / DevOps principles, experience with operational tools, and able to apply best practices for infrastructure and software deployment (Ansible).
• HAProxy, Nginx, SSH, MySQL configuration and operation experience
• Ability to work seamlessly with software developers, QA, project managers, and business development
• Ability to produce and maintain written documentation

We are looking for two Senior DevOps Engineer to join our Mumbai-based infrastructure team for a critical on-premises deployment project. This role is focused on transforming manual, legacy deployment practices into structured, secure, and compliant processes within a Windows-first, latency-sensitive environment.

The successful candidate will drive the creation of SOPs, deployment pipelines (without containerization), and a staging environment to support a hybrid stack of ASP.NET MVC (.NET), MS SQL Server (replication mode), and Java microservices with MySQL. This position requires on-site presence in Mumbai due to regulatory and infrastructure constraints and will play a key role in ensuring compliance with SEBI, RBI, PFMI, and IOSCO standards.

Key responsibility would be to lead deployment modernization efforts in a secure, on-premises environment based in Mumbai. The role involves working with legacy Windows infrastructure, ASP.NET MVC apps, MS SQL replication, and manual deployment processes. No containerization or CI/CD tools are in place, so we’re looking for someone who can establish automation and structure from the ground up.

Mandatory: On-site availability in Mumbai, strong experience with manual Windows-based deployments, regulatory compliance awareness (SEBI/RBI/PFMI).

Duration: 3-6 months | Immediate start

Job Role - DevOps Infra Lead Engineer

About LenDenClub

LenDenClub is a leading peer-to-peer lending platform that provides an alternate investment opportunity to investors or lenders looking for high returns with creditworthy borrowers looking for short-term personal loans. With a total of 8 million users and 2 million+ investors on board, LenDenClub has become a go-to platform to earn returns in the range of 10%-12%. LenDenClub offers investors a convenient medium to browse thousands of borrower profiles to achieve better returns than traditional asset classes. Moreover, LenDenClub is safeguarded by

market volatility and inflation. LenDenClub provides a great way to diversify one’s investment portfolio.

LenDenClub has raised US $10 million in a Series A round from an association of investors. With the new round of funding, LenDenClub was valued at more than US $51 million in the last round and has grown multifold since then.

Why work at LenDenClub

LenDenClub is a certified great place to work. The certification comes from the Great Place to Work Institute, Inc., a globally renowned firm dedicated to evaluating companies for their employee satisfaction on the grounds of high trust and high-performance culture at workplaces.

As a LenDenite, you will be a part of an enthusiastic and passionate group of individuals who own and love what they do. At LenDenClub we believe in creating leaders and with you coming on board you get to work with complete freedom to chase your ultimate career goal without any inhibitions.

Website - https://www.lendenclub.com

Location - Mumbai (Goregaon)

Responsibilities of a DevOps Infra Lead Engineer:

● Responsible for creating software deployment strategies that are essential for the successful deployment of software in the work environment. Identify and implement data storage methods like clustering to improve the performance of the team.

● Responsible for coming up with solutions for managing a vast number of documents in real-time and enables quick search and analysis. Identifies issues in the production phase and system and implements monitoring solutions to overcome those issues.

● Stay abreast of industry trends and best practices. Conduct research, tests, and execute new techniques which could be reused and applied to the software development project.

● Accountable for designing, building, and optimizing automation systems that help to execute business web and data infrastructure platforms.

● Creating technology infrastructure, automation tools, and maintaining configuration management.

● To cater to the engineering department’s quality and standards, implement lifecycle infrastructure solutions and documentation operations.

● Implementation and maintaining of CI/CD pipelines.

● Containerisation of applications

● Construct and improve the security on the infrastructure

● Infrastructure As A Code

● Maintaining Environments

● Nat and ACL's

● Setup of ECS and ELB for HA

● WAF and Firewall and DMZ

● Deployment strategies for high uptime

● Setup up monitoring and policies for infra and applications

​

Required Skills

● Communication Skills

● Interpersonal Skills

● Infrastructure

● Aware of technologies like Python, MYSQL, MongoDB, and so on.

● Sound knowledge of cloud infrastructure.

● Should possess knowledge of fundamental Unix/Linux, monitoring, editing, and command-based tools is essential.

● Versed in scripting languages such as Ruby and Shell

● Google Cloud Platforms, Hadoop, NoSQL databases, and big data clusters.

● Knowledge of open source technologies