Content writer

ROLES AND RESPONSIBILITIES:

• Plan, schedule, and manage all releases across product and customer projects.
• Define and maintain the release calendar, identifying dependencies and managing risks proactively.
• Partner with engineering, QA, DevOps, and product management to ensure release readiness.
• Create release documentation (notes, guides, videos) for both internal stakeholders and customers.
• Run a release review process with product leads before publishing.
• Publish releases and updates to the company website release section.
• Drive communication of release details to internal teams and customers in a clear, concise way.
• Manage post-release validation and rollback procedures when required.
• Continuously improve release management through automation, tooling, and process refinement.

IDEAL CANDIDATE:

• 3+ years of experience in Release Management, DevOps, or related roles.
• Strong knowledge of CI/CD pipelines, source control (Git), and build/deployment practices.
• Experience creating release documentation and customer-facing content (videos, notes, FAQs).
• Excellent communication and stakeholder management skills; able to translate technical changes into business impact.
• Familiarity with SaaS, iPaaS, or enterprise software environments is a strong plus.

PERKS, BENEFITS AND WORK CULTURE:

• Competitive salary package.
• Opportunity to learn from and work with senior leadership & founders.
• Build solutions for large enterprises that move from concept to real-world impact.
• Exceptional career growth pathways in a highly innovative and rapidly scaling environment.

Review Criteria:

• Strong MLOps profile
• 8+ years of DevOps experience and 4+ years in MLOps / ML pipeline automation and production deployments
• 4+ years hands-on experience in Apache Airflow / MWAA managing workflow orchestration in production
• 4+ years hands-on experience in Apache Spark (EMR / Glue / managed or self-hosted) for distributed computation
• Must have strong hands-on experience across key AWS services including EKS/ECS/Fargate, Lambda, Kinesis, Athena/Redshift, S3, and CloudWatch
• Must have hands-on Python for pipeline & automation development
• 4+ years of experience in AWS cloud, with recent companies
• (Company) - Product companies preferred; Exception for service company candidates with strong MLOps + AWS depth

Preferred:

• Hands-on in Docker deployments for ML workflows on EKS / ECS
• Experience with ML observability (data drift / model drift / performance monitoring / alerting) using CloudWatch / Grafana / Prometheus / OpenSearch.
• Experience with CI / CD / CT using GitHub Actions / Jenkins.
• Experience with JupyterHub/Notebooks, Linux, scripting, and metadata tracking for ML lifecycle.
• Understanding of ML frameworks (TensorFlow / PyTorch) for deployment scenarios.

Job Specific Criteria:

• CV Attachment is mandatory
• Please provide CTC Breakup (Fixed + Variable)?
• Are you okay for F2F round?
• Have candidate filled the google form?

Role & Responsibilities:

We are looking for a Senior MLOps Engineer with 8+ years of experience building and managing production-grade ML platforms and pipelines. The ideal candidate will have strong expertise across AWS, Airflow/MWAA, Apache Spark, Kubernetes (EKS), and automation of ML lifecycle workflows. You will work closely with data science, data engineering, and platform teams to operationalize and scale ML models in production.

Key Responsibilities:

• Design and manage cloud-native ML platforms supporting training, inference, and model lifecycle automation.
• Build ML/ETL pipelines using Apache Airflow / AWS MWAA and distributed data workflows using Apache Spark (EMR/Glue).
• Containerize and deploy ML workloads using Docker, EKS, ECS/Fargate, and Lambda.
• Develop CI/CT/CD pipelines integrating model validation, automated training, testing, and deployment.
• Implement ML observability: model drift, data drift, performance monitoring, and alerting using CloudWatch, Grafana, Prometheus.
• Ensure data governance, versioning, metadata tracking, reproducibility, and secure data pipelines.
• Collaborate with data scientists to productionize notebooks, experiments, and model deployments.

Ideal Candidate:

• 8+ years in MLOps/DevOps with strong ML pipeline experience.
• Strong hands-on experience with AWS:
• Compute/Orchestration: EKS, ECS, EC2, Lambda
• Data: EMR, Glue, S3, Redshift, RDS, Athena, Kinesis
• Workflow: MWAA/Airflow, Step Functions
• Monitoring: CloudWatch, OpenSearch, Grafana
• Strong Python skills and familiarity with ML frameworks (TensorFlow/PyTorch/Scikit-learn).
• Expertise with Docker, Kubernetes, Git, CI/CD tools (GitHub Actions/Jenkins).
• Strong Linux, scripting, and troubleshooting skills.
• Experience enabling reproducible ML environments using Jupyter Hub and containerized development workflows.

Education:

• Master’s degree in computer science, Machine Learning, Data Engineering, or related field. 

What We’re Looking For

• 3-5 years of Data Science & ML experience in consumer internet / B2C products.
• Degree in Statistics, Computer Science, or Engineering (or certification in Data Science).
• Machine Learning wizardry: recommender systems, NLP, user profiling, image processing, anomaly detection.
• Statistical chops: finding meaningful insights in large data sets.
• Programming ninja: R, Python, SQL + hands-on with Numpy, Pandas, scikit-learn, Keras, TensorFlow (or similar).
• Visualization skills: Redshift, Tableau, Looker, or similar.
• A strong problem-solver with curiosity hardwired into your DNA.
• Brownie Points
• Experience with big data platforms: Hadoop, Spark, Hive, Pig.
• Extra love if you’ve played with BI tools like Tableau or Looker.

What You Can Expect from Us:

Here at Nomiso, we work hard to provide our team with the best opportunities to grow their careers.  You can expect to be a pioneer of ideas, a student of innovation, and a leader of thought. Innovation and thought leadership is at the center of everything we do, at all levels of the company. Let’s make your career great!

Position Overview: 

The Principal Cloud Network Engineer is a key interface to Client teams and is responsible to develop convincing technical solutions. This requires them to work closely with clients for multiple partner-vendors teams to architect the solution. 

This position requires sound technical knowledge, proven business acumen and differentiating client interfacing ability. You are required to anticipate, create, and define an innovative solution which matches customer’s needs and the clients tactical and strategic requirements.

Roles and Responsibilities:

• Design and implement next-generation networking technologies
• Deploy/support large-scale production network
• Track, analyze, and trend capacity on the broadcast network and datacenter infrastructure
• Provide Tier 3 escalated network support
• Perform fault management and problem resolution
• Work closely with other departments, vendors, and service providers
• Perform network change management, support modifications, and maintenance
• Perform network upgrade, maintenance, and repair work
• Lead implementation of new systems
• Perform capacity planning and management
• Suggest opportunities for improvement
• Create and support network management objectives, policies, and procedures
• Ensure network documentation is kept up-to-date
• Train and assist junior engineers.

Must Have Skills:

    Candidates with overall 10+ years of experience in the following:

• Hands-on: Routers/Switches, Firewalls (Palo Alto or similar), Load Balancer (RTM, GTM), AWS (VPC , API Gateway , Cloudfront , Route53, CloudVAN, Directconnect, Privatelink, Transit Gateway ) Networking, Wireless.
• Strong hands-on coding/scripting experience in one or more programming languages such as Python, Golang, Java, Bash, etc. 
• Networking technologies: Routing Protocols (BGP, EIGRP & OSPF, VRFs, VLANs, VRRP, LACP, MLAG, TACACS / Rancid / GIT, IPSec VPN, DNS / DHCP, NAT / SNAT, IP Multicast, VPC, Transit Gateway, NAT Gateway, ALB/ELB), Security Groups, ACL, HSRP, VRRP, SNMP, DHCP.
• Managing hardware, IOS, coordinating with vendors/partners for support.
• Managing CDN, Links, VPN technologies, SDN/Cisco ACI ( Design and implementaion ) and Network Function Virtualization (NFV).
• Reviewing technology designs, and architecture, taking local and regional regulatory requirements into account for Voice, Video Solutions, Routing, Switching, VPN, LAN, WAN, Network Security, Firewalls, NGFW, NAT, IPS, Botnet, Application Control, DDoS, Web Filtering.
• Palo Alto Firewall / Panorama, Big-IQ, and NetBrain tools/technology standards to daily support and enhance performance, improve reliability .
• Creating a real-time contextual living map of Client’s network with detailed network specifications, including diagrams, equipment configurations with defined standards
• Improve the reliability of the service, bring in proactiveness to identify and prevent impact to customers by eliminating Single Point of Failure (SPOF).
• Capturing critical forensic data, and providing complete visibility across the enterprise, for security incidents as soon as a threat is detected, by implementing tools like NetBrain.

Good to Have Skills:

• Industry certifications on Switching, Routing and Security.
• Elastic Load Balancing (ELB), DNS / DHCP, IPSec VPN,Multicast, TACACS / Rancid / GIT, ALB/ELB
• AWS Control Tower
• Experience leading a team of 5 or more.
• Strong Analytical and Problem Solving Skills.
• Experience implementing / maintaining Infrastructure as  Code (IaC)
• Certifications : CCIE, AWS Certified Advanced Networking

• Order Management Support (Req 3) 

Must have skills: 

Should have experience as End user in SCM 

Expertise in Supply Chain Management (SCM) Oracle preferred  

Experience in Order Management 

• 3 Point Role Definition 

• Data validating and entry 
• Return Material Authorization (RMA) processing 
• Create internal sales orders, requisitions, ship orders and receipts 
• Inventory variance resolution / reconciliation 
• Resolve shipping and billing issues 

• Systems Access Needed 

• Oracle 
• SalesForce 
• JIRA 

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation.
Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.

F5 is looking for Software Engineer II with in-depth experience in high scale distributed systems. You will participate in the design and implementation of of our Edge Computing platform that is used to deploy global, scalable and secure applications. Your work includes, but not limited to, Research, design and build highly reliable, available and scalable platforms, API definition, implementation, deployment, operational management, and debugging.

Responsibilities:

• Deliver solutions that will help create, deploy and manage the service components of the platform
• Investigate various open source and close source technologies, components, libraries, tools etc. and help build a highly available, highly scalable and easily manageable system
• Take ownership of software components and   deliver   a   complete   product   satisfying   functional, scale, performance   and manageability requirements.
• Hands-on   coding   in   multiple   languages   while   considering   performance,  scalability, maintainability, and flexibility
• Understanding and exposure to design patterns and coding practices especially as applied to microservices architectures and API design, implementation and management
• Experience in Cloud native providers like MS Azure or AWS or Google Cloud or any major Cloud vendors in the market and their services
• Independently investigate, present options, review and implement completely new functionality
• You will work closely with other development teams, product management, UX, and QA to define and implement a new product offering while ensuring continued functionality.
• Perform code reviews, set coding practices and guidelines within the team
• Ability to implement all phases of a development cycle for a software product from understanding requirements, going through design, development and deploy phases
• Work with geographically distributed teams

Minimum Qualifications:

• Knowledge and experience in highly distributed software systems, ability to understand the nuances and solve problems related to scale, performance and resiliency of such a system
• Experience in programming languages: Golang, Java, Python any objected oriented high level proprietary or open source language with strong programming constructs.
• Good understanding of programming fundamentals & their application to highly scalable web-based systems
• Experience in developing polyglot software using service definition language and framework like gRPC, Thrift, Google Protocol Buffers, OpenAPI etc.
• Must have hands on SQL or No SQL technologies.
• Experience working on CICD methodology and Git based workflow
• Experience in Docker technologies including experience in optimizing Docker image and managing Docker image lifecycle. Experience in orchestration systems like Kubernetes and container technologies like Docker, rkt is a plus
• Excellent written and verbal communication skills
• Strong interpersonal, team building, and mentoring skills
• BS/MS degree in Computer Science or equivalent with 3+ years of software development experience

• Raising support tickets to enable tracking and resolution of customer requests
• Investigating and resolving customer complaints then closing support tickets
• Maintaining a database of customer information
• Escalating inquiries to the appropriate team, when necessary
• Checking product or service availability
• Assisting customers with registration or account creation

• Accomplishes department objectives by managing staff; planning and evaluating department activities.
• Maintains staff by recruiting, selecting, orienting, and training employees.
• Ensures a safe, secure, and legal work environment.
• Develops personal growth opportunities.
• Accomplishes staff results by communicating job expectations; planning, monitoring, and appraising job results.
• Coaches, counsels, and disciplines employees.
• Develops, coordinates, and enforces systems, policies, procedures, and productivity standards.
• Establishes strategic goals by gathering pertinent business, financial, service, and operations information.
• Defines objectives, identifies and evaluates trends and options, chooses a course of action, and evaluates outcomes.
• Accomplishes financial objectives by forecasting requirements, preparing an annual budget, scheduling expenditures, analyzing variances, and initiating corrective actions.
• Maintains quality service by enforcing quality and customer service standards, analyzing and resolving quality and customer service problems, and recommending system improvements.
• Contributes to team effort by accomplishing related results as needed.