Docker
Kubernetes
Amazon Web Services (AWS)
grafana
PythonJob Title : Senior DevOps Engineer
Location : Remote
Experience Level : 5+ Years
Role Overview :
We are a funded AI startup seeking a Senior DevOps Engineer to design, implement, and maintain a secure, scalable, and efficient infrastructure. In this role, you will focus on automating operations, optimizing deployment processes, and enabling engineering teams to deliver high-quality products seamlessly.
Key Responsibilities:
Infrastructure Scalability & Reliability :
- Architect and manage cloud infrastructure on AWS, GCP, or Azure for high availability, reliability, and cost-efficiency.
- Implement container orchestration using Kubernetes or Docker Compose.
- Utilize Infrastructure as Code (IaC) tools like Pulumi or Terraform to manage and configure infrastructure.
Deployment Automation :
- Design and maintain CI/CD pipelines using GitHub Actions, Jenkins, or similar tools.
- Implement deployment strategies such as canary or blue-green deployments, and create rollback mechanisms to ensure seamless updates.
Monitoring & Observability :
- Leverage tools like OpenTelemetry, Grafana, and Datadog to monitor system health and performance.
- Establish centralized logging systems and create real-time dashboards for actionable insights.
Security & Compliance :
- Securely manage secrets using tools like HashiCorp Vault or Doppler.
- Conduct static code analysis with tools such as SonarQube or Snyk to ensure compliance with security standards.
Collaboration & Team Enablement :
- Mentor and guide team members on DevOps best practices and workflows.
- Document infrastructure setups, incident runbooks, and troubleshooting workflows to enhance team efficiency.
Required Skills :
- Expertise in managing cloud platforms like AWS, GCP, or Azure.
- In-depth knowledge of Kubernetes, Docker, and IaC tools like Terraform or Pulumi.
- Advanced scripting capabilities in Python or Bash.
- Proficiency in CI/CD tools such as GitHub Actions, Jenkins, or similar.
- Experience with observability tools like Grafana, OpenTelemetry, and Datadog.
- Strong troubleshooting skills for debugging production systems and optimizing performance.
Preferred Qualifications :
- Experience in scaling AI or ML-based applications.
- Familiarity with distributed systems and microservices architecture.
- Understanding of agile methodologies and DevSecOps practices.
- Certifications in AWS, Azure, or Kubernetes.
What We Offer :
- Opportunity to work in a fast-paced AI startup environment.
- Flexible remote work culture.
- Competitive salary and equity options.
- Professional growth through challenging projects and learning opportunities.
Shubham Vishwakarma
Full Stack Developer - Averlon
About NeoGenCode Technologies Pvt Ltd
About
Welcome to Neogencode Technologies, an IT services and consulting firm that provides innovative solutions to help businesses achieve their goals. Our team of experienced professionals is committed to providing tailored services to meet the specific needs of each client. Our comprehensive range of services includes software development, web design and development, mobile app development, cloud computing, cybersecurity, digital marketing, and skilled resource acquisition. We specialize in helping our clients find the right skilled resources to meet their unique business needs. At Neogencode Technologies, we prioritize communication and collaboration with our clients, striving to understand their unique challenges and provide customized solutions that exceed their expectations. We value long-term partnerships with our clients and are committed to delivering exceptional service at every stage of the engagement. Whether you are a small business looking to improve your processes or a large enterprise seeking to stay ahead of the competition, Neogencode Technologies has the expertise and experience to help you succeed. Contact us today to learn more about how we can support your business growth and provide skilled resources to meet your business needs.
Candid answers by the company
IT & Engineering Talent Staffing
- Provides full-time and contract-based hiring, delivering handpicked, pre‑screened developers across tech stacks—ranging from web, mobile, AI/ML, Web3/blockchain.
- Maintains a bench o vetted candidates, offering fast delivery of interview-ready profiles—often within 24 hours.
- Offers payroll management, handling compliance, tax, attendance, and documentation for both contractors and full-time employees.
2. End-to-End Project Delivery
- Delivers full-stack development solutions: web, mobile, cloud, AI/ML, Blockchain/Web3.
- Manages entire project lifecycle—requirements gathering, design (UI/UX), development, deployment, and ongoing support .
3. Additional Offerings
- Expands into cybersecurity consulting, digital marketing, and cloud platform services (like AWS, GCP, Azure) .
- Provides strategic IT consulting to align technology solutions with business objectives
Company social profiles
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PythonKubernetesDockerJob Description
Experience: 5 - 9 years
Location: Bangalore/Pune/Hyderabad
Work Mode: Hybrid(3 Days WFO)
Senior Cloud Infrastructure Engineer for Data Platform
The ideal candidate will play a critical role in designing, implementing, and maintaining cloud infrastructure and CI/CD pipelines to support scalable, secure, and efficient data and analytics solutions. This role requires a strong understanding of cloud-native technologies, DevOps best practices, and hands-on experience with Azure and Databricks.
Key Responsibilities:
Cloud Infrastructure Design & Management
Architect, deploy, and manage scalable and secure cloud infrastructure on Microsoft Azure.
Implement best practices for Azure Resource Management, including resource groups, virtual networks, and storage accounts.
Optimize cloud costs and ensure high availability and disaster recovery for critical systems
Databricks Platform Management
Set up, configure, and maintain Databricks workspaces for data engineering, machine learning, and analytics workloads.
Automate cluster management, job scheduling, and monitoring within Databricks.
Collaborate with data teams to optimize Databricks performance and ensure seamless integration with Azure services.
CI/CD Pipeline Development
Design and implement CI/CD pipelines for deploying infrastructure, applications, and data workflows using tools like Azure DevOps, GitHub Actions, or similar.
Automate testing, deployment, and monitoring processes to ensure rapid and reliable delivery of updates.
Monitoring & Incident Management
Implement monitoring and alerting solutions using tools like Dynatrace, Azure Monitor, Log Analytics, and Databricks metrics.
Troubleshoot and resolve infrastructure and application issues, ensuring minimal downtime.
Security & Compliance
Enforce security best practices, including identity and access management (IAM), encryption, and network security.
Ensure compliance with organizational and regulatory standards for data protection and cloud operations.
Collaboration & Documentation
Work closely with cross-functional teams, including data engineers, software developers, and business stakeholders, to align infrastructure with business needs.
Maintain comprehensive documentation for infrastructure, processes, and configurations.
Required Qualifications
Education: Bachelor’s degree in Computer Science, Engineering, or a related field.
Must Have Experience:
6+ years of experience in DevOps or Cloud Engineering roles.
Proven expertise in Microsoft Azure services, including Azure Data Lake, Azure Databricks, Azure Data Factory (ADF), Azure Functions, Azure Kubernetes Service (AKS), and Azure Active Directory.
Hands-on experience with Databricks for data engineering and analytics.
Technical Skills:
Proficiency in Infrastructure as Code (IaC) tools like Terraform, ARM templates, or Bicep.
Strong scripting skills in Python, or Bash.
Experience with containerization and orchestration tools like Docker and Kubernetes.
Familiarity with version control systems (e.g., Git) and CI/CD tools (e.g., Azure DevOps, GitHub Actions).
Soft Skills:
Strong problem-solving and analytical skills.
Excellent communication and collaboration abilities.
DockerKubernetesAmazon Web Services (AWS)Experience: 3+ years of experience in Cloud Architecture
About Company:
The company is a global leader in secure payments and trusted transactions. They are at the forefront of the digital revolution that is shaping new ways of paying, living, doing business and building relationships that pass on trust along the entire payments value chain, enabling sustainable economic growth. Their innovative solutions, rooted in a rock-solid technological base, are environmentally friendly, widely accessible and support social transformation.
Cloud Architect / Lead
- Role Overview
- Senior Engineer with a strong background and experience in cloud related technologies and architectures. Can design target cloud architectures to transform existing architectures together with the in-house team. Can actively hands-on configure and build cloud architectures and guide others.
- Key Knowledge
- 3-5+ years of experience in AWS/GCP or Azure technologies
- Is likely certified on one or more of the major cloud platforms
- Strong experience from hands-on work with technologies such as Terraform, K8S, Docker and orchestration of containers.
- Ability to guide and lead internal agile teams on cloud technology
- Background from the financial services industry or similar critical operational experience
DockerKubernetesAmazon Web Services (AWS)knowledge of EC2, RDS and S3.
● Good command of Linux environment
● Experience with tools such as Docker, Kubernetes, Redis, NodeJS and Nginx
Server configurations and deployment, Kafka, Elasticsearch, Ansible, Terraform,
etc
● Bonus: AWS certification is a plus
● Bonus: Basic understanding of database queries for relational databases such as
MySQL.
● Bonus: Experience with CI servers such as Jenkins, Travis or similar types
● Bonus: Demonstrated programming capability in a high-level programming
language such as Python, Go, or similar
● Develop, maintain and administer tools which will automate operational activities
and improve engineering productivity
● Automate continuous delivery and on-demand capacity management solutions
● Developing configuration and infrastructure solutions for internal deployments
● Troubleshooting, diagnosing and fixing software issues
● Updating, tracking and resolving technical issues
● Suggesting architecture improvements, recommending process improvements
● Evaluate new technology options and vendor products. Ensuring critical system
security through the use of best in class security solutions
● Technical experience or in a similar role supporting large scale production
distributed systems
● Must understand overall system architecture , improve design and implement new
processes.
Amazon Web Services (AWS)
Git
Jenkins- Good experience in AWS services like Elastic Compute Cloud(EC2), IAM, RDS, API Gateway, Cognito, etc.
- Using GIT, SonarQube, Ansible, Nexus, Nagios, etc.
- Strong experience in creating, importing and launching volumes with security groups, auto-scaling, Load Balancers, Fault-tolerant
- Experience in configuring Jenkins job with related Plugins for Building, Testing, and Continuous Deployment to accomplish the complete CI/CD.
KubernetesDocker
Django
FlaskAbout 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.
Amazon Web Services (AWS)KubernetesRoles and Responsibilities
● Managing Availability, Performance, Capacity of infrastructure and applications.
● Building and implementing observability for applications health/performance/capacity.
● Optimizing On-call rotations and processes.
● Documenting “tribal” knowledge.
● Managing Infra-platforms like
- Mesos/Kubernetes
- CICD
- Observability(Prometheus/New Relic/ELK)
- Cloud Platforms ( AWS/ Azure )
- Databases
- Data Platforms Infrastructure
● Providing help in onboarding new services with the production readiness review process.
● Providing reports on services SLO/Error Budgets/Alerts and Operational Overhead.
● Working with Dev and Product teams to define SLO/Error Budgets/Alerts.
● Working with the Dev team to have an in-depth understanding of the application architecture and its bottlenecks.
● Identifying observability gaps in product services, infrastructure and working with stake owners to fix it.
● Managing Outages and doing detailed RCA with developers and identifying ways to avoid that situation.
● Managing/Automating upgrades of the infrastructure services.
● Automate toil work.
Experience & Skills
● 3+ Years of experience as an SRE/DevOps/Infrastructure Engineer on large scale microservices and infrastructure.
● A collaborative spirit with the ability to work across disciplines to influence, learn, and deliver.
● A deep understanding of computer science, software development, and networking principles.
● Demonstrated experience with languages, such as Python, Java, Golang etc.
● Extensive experience with Linux administration and good understanding of the various linux kernel subsystems (memory, storage, network etc).
● Extensive experience in DNS, TCP/IP, UDP, GRPC, Routing and Load Balancing.
● Expertise in GitOps, Infrastructure as a Code tools such as Terraform etc.. and Configuration Management Tools such as Chef, Puppet, Saltstack, Ansible.
● Expertise of Amazon Web Services (AWS) and/or other relevant Cloud Infrastructure solutions like Microsoft Azure or Google Cloud.
● Experience in building CI/CD solutions with tools such as Jenkins, GitLab, Spinnaker, Argo etc.
● Experience in managing and deploying containerized environments using Docker,
Mesos/Kubernetes is a plus.
● Experience with multiple datastores is a plus (MySQL, PostgreSQL, Aerospike,
Couchbase, Scylla, Cassandra, Elasticsearch).
● Experience with data platforms tech stacks like Hadoop, Hive, Presto etc is a plus
Amazon Web Services (AWS)Searce is a niche’ Cloud Consulting business with futuristic tech DNA. We do new-age tech
to realise the “Next” in the “Now” for our Clients. We specialise in Cloud Data Engineering,
AI/Machine Learning and Advanced Cloud infra tech such as Anthos and Kubernetes. We
are one of the top & the fastest growing partners for Google Cloud and AWS globally with
over 2,500 clients successfully moved to cloud.
What we believe?
1. Best practices are overrated
○ Implementing best practices can only make one n ‘average’ .
2. Honesty and Transparency
○ We believe in naked truth. We do what we tell and tell what we do.
3. Client Partnership
○ Client - Vendor relationship: No. We partner with clients instead.
○ And our sales team comprises 100% of our clients.
How we work?
It’s all about being Happier first. And rest follows. Searce work culture is defined by
HAPPIER.
1. Humble: Happy people don’t carry ego around. We listen to understand; not to
respond.
2. Adaptable: We are comfortable with uncertainty. And we accept changes well. As
that’s what life's about.
3. Positive: We are super positive about work & life in general. We love to forget and
forgive. We don’t hold grudges. We don’t have time or adequate space for it.
4. Passionate: We are as passionate about the great street-food vendor across the
street as about Tesla’s new model and so on. Passion is what drives us to work and
makes us deliver the quality we deliver.
5. Innovative: Innovate or Die. We love to challenge the status quo.
6. Experimental: We encourage curiosity & making mistakes.
7. Responsible: Driven. Self motivated. Self governing teams. We own it.
Are you the one? Quick self-discovery test:
1. Love for cloud: When was the last time your dinner entailed an act on “How would
‘Jerry Seinfeld’ pitch Cloud platform & products to this prospect” and your friend did
the ‘Sheldon’ version of the same thing.
2. Passion for sales: When was the last time you went at a remote gas station while on
vacation, and ended up helping the gas station owner saasify his 7 gas stations
across other geographies.
3. Compassion for customers: You listen more than you speak. When you do speak,
people feel the need to listen.
4. Humor for life: When was the last time you told a concerned CEO, ‘If Elon Musk can
attempt to take humanity to Mars, why can’t we take your business to run on cloud ?
Your bucket of undertakings:
This position will be responsible to consult with clients and propose architectural solutions
to help move & improve infra from on-premise to cloud or help optimize cloud spend from
one public cloud to the other.
1. Be the first one to experiment on new age cloud offerings, help define the best
practise as a thought leader for cloud, automation & Dev-Ops, be a solution
visionary and technology expert across multiple channels.
2. Continually augment skills and learn new tech as the technology and client needs
evolve
3. Use your experience in Google cloud platform, AWS or Microsoft Azure to build
hybrid-cloud solutions for customers.
4. Provide leadership to project teams, and facilitate the definition of project
deliverables around core Cloud based technology and methods.
5. Define tracking mechanisms and ensure IT standards and methodology are met;
deliver quality results.
6. Participate in technical reviews of requirements, designs, code and other artifacts
7. Identify and keep abreast of new technical concepts in google cloud platform
8. Security, Risk and Compliance - Advise customers on best practices around access
management, network setup, regulatory compliance and related areas.
Accomplishment Set
● Passionate, persuasive, articulate Cloud professional capable of quickly establishing
interest and credibility
● Good business judgment, a comfortable, open communication style, and a
willingness and ability to work with customers and teams.
● Strong service attitude and a commitment to quality.
● Highly organised and efficient.
● Confident working with others to inspire a high-quality standard.
Education, Experience, etc.
1. Is Education overrated? Yes. We believe so. However there is no way to locate you
otherwise. So unfortunately we might have to look for a Bachelor's or Master's
degree in engineering from a reputed institute or you should be programming from
12. And the latter is better. We will find you faster if you specify the latter in some
manner. Not just degree, but we are not too thrilled by tech certifications too ... :)
2. To reiterate: Passion to tech-awesome, insatiable desire to learn the latest of the
new-age cloud tech, highly analytical aptitude and a strong ‘desire to deliver’ outlives
those fancy degrees!
3. 1 - 5 years of experience with at least 2 - 3 years of hands-on experience in Cloud
Computing (AWS/GCP/Azure) and IT operational experience in a global enterprise
environment.
4. Good analytical, communication, problem solving, and learning skills.
5. Knowledge on programming against cloud platforms such as Google Cloud Platf
JenkinsDockerAmazon Web Services (AWS)Role
We are looking for an experienced DevOps engineer that will help our team establish DevOps practice. You will work closely with the technical lead to identify and establish DevOps practices in the company.
You will also help us build scalable, efficient cloud infrastructure. You’ll implement monitoring for automated system health checks. Lastly, you’ll build our CI pipeline, and train and guide the team in DevOps practices.
This would be a hybrid role and the person would be expected to also do some application level programming in their downtime.
Responsibilities
- Deployment, automation, management, and maintenance of production systems.
- Ensuring availability, performance, security, and scalability of production systems.
- Evaluation of new technology alternatives and vendor products.
- System troubleshooting and problem resolution across various application domains and platforms.
- Providing recommendations for architecture and process improvements.
- Definition and deployment of systems for metrics, logging, and monitoring on AWS platform.
- Manage the establishment and configuration of SaaS infrastructure in an agile way by storing infrastructure as code and employing automated configuration management tools with a goal to be able to re-provision environments at any point in time.
- Be accountable for proper backup and disaster recovery procedures.
- Drive operational cost reductions through service optimizations and demand based auto scaling.
- Have on call responsibilities.
- Perform root cause analysis for production errors
- Uses open source technologies and tools to accomplish specific use cases encountered within the project.
- Uses coding languages or scripting methodologies to solve a problem with a custom workflow.
Requirements
- Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.
- Prior experience as a software developer in a couple of high level programming languages.
- Extensive experience in any Javascript based framework since we will be deploying services to NodeJS on AWS Lambda (Serverless)
- Extensive experience with web servers such as Nginx/Apache
- Strong Linux system administration background.
- Ability to present and communicate the architecture in a visual form.
- Strong knowledge of AWS (e.g. IAM, EC2, VPC, ELB, ALB, Autoscaling, Lambda, NAT gateway, DynamoDB)
- Experience maintaining and deploying highly-available, fault-tolerant systems at scale (~ 1 Lakh users a day)
- A drive towards automating repetitive tasks (e.g. scripting via Bash, Python, Ruby, etc)
- Expertise with Git
- Experience implementing CI/CD (e.g. Jenkins, TravisCI)
- Strong experience with databases such as MySQL, NoSQL, Elasticsearch, Redis and/or Mongo.
- Stellar troubleshooting skills with the ability to spot issues before they become problems.
- Current with industry trends, IT ops and industry best practices, and able to identify the ones we should implement.
- Time and project management skills, with the capability to prioritize and multitask as needed.
DockerAmazon Web Services (AWS)|
Job Title: |
Senior Cloud Infrastructure Engineer (AWS) |
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Department & Team |
Technology |
Location: |
India /UK / Ukraine |
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Reporting To: |
Infrastructure Services Manager |
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Role Purpose: |
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The purpose of the role is to ensure high systems availability across a multi-cloud environment, enabling the business to continue meeting its objectives.
This role will be mostly AWS / Linux focused but will include a requirement to understand comparative solutions in Azure.
Desire to maintain full hands-on status but to add Team Lead responsibilities in future
Client’s cloud strategy is based around a dual vendor solutioning model, utilising AWS and Azure services. This enables us to access more technologies and helps mitigate risks across our infrastructure.
The Infrastructure Services Team is responsible for the delivery and support of all infrastructure used by Client twenty-four hours a day, seven days a week. The team’s primary function is to install, maintain, and implement all infrastructure-based systems, both On Premise and Cloud Hosted. The Infrastructure Services group already consists of three teams:
1. Network Services Team – Responsible for IP Network and its associated components 2. Platform Services Team – Responsible for Server and Storage systems 3. Database Services Team – Responsible for all Databases
This role will report directly into the Infrastructure Services Manager and will have responsibility for the day to day running of the multi-cloud environment, as well as playing a key part in designing best practise solutions. It will enable the Client business to achieve its stated objectives by playing a key role in the Infrastructure Services Team to achieve world class benchmarks of customer service and support.
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Responsibilities: |
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Operations · Deliver end to end technical and user support across all platforms (On-premise, Azure, AWS) · Day to day, fully hands-on OS management responsibilities (Windows and Linux operating systems) · Ensure robust server patching schedules are in place and meticulously followed to help reduce security related incidents. · Contribute to continuous improvement efforts around cost optimisation, security enhancement, performance optimisation, operational efficiency and innovation. · Take an ownership role in delivering technical projects, ensuring best practise methods are followed. · Design and deliver solutions around the concept of “Planning for Failure”. Ensure all solutions are deployed to withstand system / AZ failure. · Work closely with Cloud Architects / Infrastructure Services Manager to identify and eliminate “waste” across cloud platforms. · Assist several internal DevOps teams with day to day running of pipeline management and drive standardisation where possible. · Ensure all Client data in all forms are backed up in a cost-efficient way. · Use the appropriate monitoring tools to ensure all cloud / on-premise services are continuously monitored. · Drive utilisation of most efficient methods of resource deployment (Terraform, CloudFormation, Bootstrap) · Drive the adoption, across the business, of serverless / open source / cloud native technologies where applicable. · Ensure system documentation remains up to date and designed according to AWS/Azure best practise templates. · Participate in detailed architectural discussions, calling on internal/external subject matter experts as needed, to ensure solutions are designed for successful deployment. · Take part in regular discussions with business executives to translate their needs into technical and operational plans. · Engaging with vendors regularly in terms of verifying solutions and troubleshooting issues. · Designing and delivering technology workshops to other departments in the business. · Takes initiatives for improvement of service delivery. · Ensure that Client delivers a service that resonates with customer’s expectations, which sets Client apart from its competitors. · Help design necessary infrastructure and processes to support the recovery of critical technology and systems in line with contingency plans for the business. · Continually assess working practices and review these with a view to improving quality and reducing costs. · Champions the new technology case and ensure new technologies are investigated and proposals put forward regarding suitability and benefit. · Motivate and inspire the rest of the infrastructure team and undertake necessary steps to raise competence and capability as required. · Help develop a culture of ownership and quality throughout the Infrastructure Services team.
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Skills & Experience: |
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· AWS Certified Solutions Architect – Professional - REQUIRED · Microsoft Azure Fundamentals AZ-900 – REQUIRED AS MINIMUM AZURE CERT · Red Hat Certified Engineer (RHCE ) - REQUIRED · Must be able to demonstrate working knowledge of designing, implementing and maintaining best practise AWS solutions. (To lesser extend Azure) · Proven examples of ownership of large AWS project implementations in Enterprise settings. · Experience managing the monitoring of infrastructure / applications using tools including CloudWatch, Solarwinds, New Relic, etc. · Must have practical working knowledge of driving cost optimisation, security enhancement and performance optimisation. · Solid understanding and experience of transitioning IaaS solutions to serverless technology · Must have working production knowledge of deploying infrastructure as code using Terraform. · Need to be able to demonstrate security best-practise when designing solutions in AWS. · Working knowledge around optimising network traffic performance an delivering high availability while keeping a check on costs. · Working experience of ‘On Premise to Cloud’ migrations · Experience of Data Centre technology infrastructure development and management · Must have experience working in a DevOps environment · Good working knowledge around WAN connectivity and how this interacts with the various entry point options into AWS, Azure, etc. · Working knowledge of Server and Storage Devices · Working knowledge of MySQL and SQL Server / Cloud native databases (RDS / Aurora) · Experience of Carrier Grade Networking - On Prem and Cloud · Experience in virtualisation technologies · Experience in ITIL and Project management · Providing senior support to the Service Delivery team. · Good understanding of new and emerging technologies · Excellent presentation skills to both an internal and external audience · The ability to share your specific expertise to the rest of the Technology group · Experience with MVNO or Network Operations background from within the Telecoms industry. (Optional) · Working knowledge of one or more European languages (Optional)
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Behavioural Fit: |
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· Professional appearance and manner · High personal drive; results oriented; makes things happen; “can do attitude” · Can work and adapt within a highly dynamic and growing environment · Team Player; effective at building close working relationships with others · Effectively manages diversity within the workplace · Strong focus on service delivery and the needs and satisfaction of internal clients · Able to see issues from a global, regional and corporate perspective · Able to effectively plan and manage large projects · Excellent communication skills and interpersonal skills at all levels · Strong analytical, presentation and training skills · Innovative and creative · Demonstrates technical leadership · Visionary and strategic view of technology enablers (creative and innovative) · High verbal and written communication ability, able to influence effectively at all levels · Possesses technical expertise and knowledge to lead by example and input into technical debates · Depth and breadth of experience in infrastructure technologies · Enterprise mentality and global mindset · Sense of humour
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Role Key Performance Indicators: |
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· Design and deliver repeatable, best in class, cloud solutions. · Pro-actively monitor service quality and take action to scale operational services, in line with business growth. · Generate operating efficiencies, to be agreed with Infrastructure Services Manager. · Establish a “best in sector” level of operational service delivery and insight. · Help create an effective team. |
PythonKubernetes
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon