11+ QMS Jobs in Pune | QMS Job openings in Pune
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Job Title : Medical Device Engineer
Location : Bangalore / Pune
Experience : 5+ Years total, with at least 3 years in Medical Device Development, Sustenance, or DHF Remediation
Notice Period : Immediate to 1 week
Interview Process : L1-selected candidates will undergo a customer interview
Mandatory Skills : Medical Device Development/Sustenance/DHF Remediation, ISO 13485, IEC 60601, ISO 14971, FDA & EU MDR compliance, DHF documentation, Design FMEA, CTS/CTQ, QMS, PLM, Verification & Validation, Impact Assessment.
Key Skills & Knowledge :
- Strong understanding of ISO 13485, IEC 60601, and ISO 14971 standards
- Experience with FDA and EU MDR regulatory requirements
Responsibilities :
- Conduct gap assessments and create/update DHF documents, including user and product requirements, design FMEA, CTS/CTQ, and standards compliance reports
- Analyze and implement design changes, assess impact, and update documentation accordingly
- Identify gaps in verification and validation, ensuring clear traceability between requirements and verification documents
- Assess compliance with applicable standards and regulations
- Define CTS/CTQ parameters and actively participate in design reviews
- Follow QMS guidelines and manage changes through PLM.
NodeJS (Node.js)
NextJs (Next.js)
Express
Amazon Web Services (AWS)About NonStop io Technologies:
NonStop io Technologies is a value-driven company with a strong focus on process-oriented software engineering. We specialize in Product Development and have a decade's worth of experience in building web and mobile applications across various domains. NonStop io Technologies follows core principles that guide its operations and believes in staying invested in a product's vision for the long term. We are a small but proud group of individuals who believe in the 'givers gain' philosophy and strive to provide value in order to seek value. We are committed to and specialize in building cutting-edge technology products and serving as trusted technology partners for startups and enterprises. We pride ourselves on fostering innovation, learning, and community engagement. Join us to work on impactful projects in a collaborative and vibrant environment. We're seeking an experienced Backend Software Engineer to join our team. As a backend engineer, you will be responsible for designing, developing, and deploying scalable backends for the products we build at NonStop. This includes APIs, databases, and server-side logic.
Responsibilities:
● Design, develop, and deploy backend systems, including APIs, databases, and server-side logic
● Write clean, efficient, and well-documented code that adheres to industry standards and best practices
● Participate in code reviews and contribute to the improvement of the codebase
● Debug and resolve issues in the existing codebase
● Develop and execute unit tests to ensure high code quality
● Work with DevOps engineers to ensure seamless deployment of software changes
● Monitor application performance, identify bottlenecks, and optimize systems for better scalability and efficiency
● Stay up-to-date with industry trends and emerging technologies; advocate for best practices and new ideas within the team
● Collaborate with cross-functional teams to identify and prioritize project requirements
Requirements:
● At least 4+ years of experience building scalable and reliable backend systems
● Strong expertise in NodeJS/NestJS, Express, PostgreSQL
● Experience with microservices architecture and distributed systems
● Proficiency in database design (SQL and NoSQL)
● Knowledge of cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines
● Deep understanding of design patterns, data structures, and algorithms
● Hands-on experience with containerization technologies like Docker and orchestration tools like Kubernetes
● Exceptional communication and leadership skills
● Strong understanding of object-oriented programming principles and design patterns
● Familiarity with automated testing frameworks and methodologies
● Excellent problem-solving skills and attention to detail
● Strong communication skills and ability to effectively lead and maintain a collaborative team environmen
● Ready to be a tech-agnostic engineer and comfortable to shift on any tech stack (Java, Node, Python etc)
● Comfortable working with AI (Claude code, Cursor etc)
Data Science
PythonWebsite and Company profile:
www.wissen.com
LinkedIn Page:
https://www.linkedin.com/company/wissen-technology/
Company Name – Wissen Technology
Group of companies in India – Wissen Technology & Wissen Infotech
Work Location – Whitefield, Bangalore
While you may already know about Wissen and the company history, here is a quick rundown for you.
About Wissen Technology
- The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015.
- Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products.
- Our workforce has highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.
- Wissen Technology has grown its revenues by 400% in these five years without any external funding or investments.
- Globally present with offices US, India, UK, Australia, Mexico, and Canada.
- We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
- Wissen Technology has been certified as a Great Place to Work®.
- Wissen Technology has been voted as the Top 20 AI/ML vendor by CIO Insider in 2020.
- Over the years, Wissen Group has successfully delivered $650 million worth of projects for more than 20 of the Fortune 500 companies.
- We have served client across sectors like Banking, Telecom, Healthcare, Manufacturing, and Energy. They include likes of Morgan Stanley, Goldman Sachs, MSCI, StateStreet, Flipkart, Swiggy, Trafigura, GE to name a few.
JOB DESCRIPTION
Job Title:
Data Scientist – Graph & Analytics
Location:
Pune, Maharashtra
Work Mode:
Work from Office – 5 Days a Week
Experience:
3–5 Years
Employment Type:
Full-Time
Education:
B.E. / B.Tech in Computer Science, IT, Statistics, or related field
About the Role
We are looking for an analytical and detail-oriented Data Scientist with deep expertise in graph analytics, network analysis, and scalable data engineering. This is not a conventional machine learning role — the focus is on understanding complex relationships, structures, and patterns within large-scale datasets using graph-based methods and statistical modeling. You will work in a collaborative, fast-paced environment and be expected to contribute across the full data lifecycle — from raw data exploration through to production-grade analytical systems.
This is a full-time, in-office role based out of our Pune office (5 days a week).
Key Responsibilities
Graph Analytics & Network Analysis
• Design and implement graph-based models to identify patterns, clusters, communities, and relationships within complex datasets.
• Apply network analysis techniques using metrics such as clustering coefficient, degree assortativity, density, Gini index, and small-world index.
• Perform multi-hop network traversals and community detection using algorithms such as Louvain partitioning and similar graph clustering approaches.
• Build and query graph databases (Neo4j, ArangoDB) using Cypher Query Language to extract structural insights from connected data.
• Leverage GPU-accelerated graph libraries (cuGraph) to scale graph computations across large datasets efficiently.
Data Engineering & Pipeline Development
• Conduct thorough Exploratory Data Analysis (EDA) on large-scale structured and semi-structured datasets to surface quality issues, distributions, and key features.
• Build, optimize, and maintain scalable data pipelines and stored procedures across cloud data platforms such as BigQuery, PostgreSQL, or Hive.
• Automate data workflows using orchestration tools such as Apache Airflow or Kubeflow Pipelines.
• Apply GPU-accelerated computing (CUDA, CuPy, cuDF) to optimize processing performance on high-volume data workloads.
• Ensure data integrity, reproducibility, and documentation across all analytical workflows.
Statistical Modeling & Insight Generation
• Apply statistical modeling techniques to detect behavioral anomalies, trends, and patterns within datasets.
• Use time series analysis to identify temporal patterns and changes in data over time.
• Translate analytical findings into clear, actionable insights for both technical and non-technical stakeholders.
• Build dashboards and reports using visualization tools (e.g., Trino Superset) to communicate results effectively.
Collaboration & Documentation
• Work closely with product, engineering, and business teams to understand requirements and deliver relevant analytical solutions.
• Contribute to internal knowledge sharing through workshops, documentation, and peer reviews.
• Maintain well-documented codebases and analytical frameworks for long-term maintainability.
Required Skills & Qualifications
Must-Have
• 3+ years of experience in a Data Science, Data Analytics, or Graph Analytics role.
• Strong proficiency in Python with hands-on experience using NumPy, Pandas, CuPy, and cuDF.
• Practical experience with graph analytics libraries — NetworkX, cuGraph, Neo4j, or ArangoDB.
• Solid understanding of graph theory concepts: community detection, network metrics, graph traversal, and clustering algorithms.
• Proficiency in SQL; experience with BigQuery, PostgreSQL, MS SQL, Hive, or similar databases.
• Experience with GPU-based computing using CUDA for performance-critical data tasks.
• Strong analytical thinking and ability to work independently on ambiguous, open-ended problems.
Good to Have
• Experience with Cypher Query Language for querying graph databases (Neo4j / ArangoDB).
• Familiarity with graph ML frameworks such as PyTorch Geometric.
• Exposure to workflow orchestration tools — Apache Airflow or Kubeflow Pipelines.
• Knowledge of cloud data tools such as Trino, MinIO, or IBM Datastage.
• Basic scripting skills in Bash or C++ for automation or performance tasks.
• Experience presenting data insights to senior stakeholders or cross-functional teams.
• Research publications, patents, or open-source contributions in graph analytics or data science are a strong plus.
What We Offer
• Opportunity to solve high-impact, large-scale data problems using modern graph and analytics tools.
• Exposure to cutting-edge technologies including GPU-accelerated computing and graph ML.
• Collaborative, intellectually stimulating work environment with a strong engineering culture.
• Competitive compensation with performance-based incentives.
• Learning & development support — certifications, courses, and conference participation.
• Centrally located Pune office with a structured, in-person team culture.
Strong SAP EWM Functional Consultant Profile
Mandatory (Experience 1) – Must have 6+ years of strong hands-on experience in SAP EWM (Extended Warehouse Management).
Mandatory (Experience 2) – Must have completed at least 2 end-to-end SAP EWM implementations and minimum 1 rollout project (full lifecycle exposure – Requirement Gathering to Go-Live & Hypercare).
Mandatory (Experience 3) – Strong hands-on experience in Inbound and Outbound warehouse processes, including Goods Receipt, Putaway, Picking, Packing, Staging, and Goods Issue.
Mandatory (Experience 4) – Must have strong process knowledge in O2C (Order-to-Cash), Supply Chain Management, and Warehouse Execution processes.
Mandatory (Experience 5) – Must have hands-on experience in Decentralized EWM and SAP S/4HANA Embedded EWM (Cloud-oriented landscape preferred).
Mandatory (Experience 6) – Strong integration knowledge with SAP SD (Sales & Distribution – Outbound processes) and SAP TM (Transportation Management).
Mandatory (Domain Exposure) – Candidates must have worked in Manufacturing or Supply Chain-driven environments; Automotive industry experience preferred
Company Name: Synise Technologies Limited
Location: Mundhwa Pune
Experience: 6+
Qualification: B.E. Mechanical
Gender Preference: Male
________________________________________
Senior SAP ABAP Consultant – Job Description
Position Overview:
We are looking for a highly skilled Senior SAP ABAP Consultant with extensive experience in SAP development, customization, and integration. The ideal candidate should have hands-on experience in ABAP programming, performance optimization, and knowledge of modern SAP technologies like OData, CDS Views, and Fiori.
Key Responsibilities:
• Develop, enhance, and support SAP applications using ABAP, ABAP OO, ALV, SmartForms, SAPScripts, BAPIs, BADIs, User Exits, and Enhancement Frameworks.
• Work on ALE/IDocs, RFCs, and other integration technologies for seamless communication between SAP and external systems.
• Develop and maintain SAP reports, interfaces, conversions, enhancements, and forms (RICEF objects).
• Optimize performance of SAP programs by analyzing SQL queries, improving database access, and implementing best practices.
• Work with SAP Fiori/UI5 and OData services to develop modern SAP applications.
• Implement SAP Workflow solutions to automate business processes.
• Debug and troubleshoot issues in standard and custom SAP programs.
• Collaborate with functional teams (SD, MM, FI, PP, etc.) to understand business requirements and translate them into technical solutions.
• Guide and mentor junior ABAP developers.
• Participate in SAP upgrades, migrations, and system enhancements.
• Ensure adherence to SAP best practices, coding standards, and security guidelines.
Required Skills & Qualifications:
• 6+ years of experience in SAP ABAP development.
• Strong expertise in RICEF (Reports, Interfaces, Conversions, Enhancements, Forms).
• Experience with OData, CDS Views, AMDP, and SAP Fiori/UI5 is a plus.
• Good knowledge of ABAP on HANA and performance tuning techniques.
• Experience with S/4HANA development is highly desirable.
• Strong debugging and problem-solving skills.
• Excellent communication and teamwork skills.
• Bachelor's degree in Computer Science, Information Technology, or a related field.
Preferred Skills:
• Experience in SAP BTP (Business Technology Platform) and cloud-based SAP solutions.
• Exposure to SAP integration tools like SAP PI/PO, SAP CPI.
• Understanding of Agile methodologies and Devlops practices.
What You Get:
• 💰 Salary: 6 - 8 LPA
• 📈 Growth opportunities
AngularJS (1.x)
Angular (2+)
React.jsNodeJS (Node.js)
MongoDBJob Summary:
Greenie Startup is seeking a highly motivated and experienced Backend Developer to join our team. The ideal candidate should have a strong understanding of NodeJS, Distributed Systems, MongoDB, React, and other backend languages. The candidate will be responsible for designing, developing, and maintaining backend applications for our platform.
Responsibilities:
● Develop and maintain backend services using NodeJS, MongoDB, and other backend languages
● Design and develop RESTful APIs for the platform
● Work with the team to develop scalable and fault-tolerant distributed systems
● Implement Authentication, Identity Management, and Authorization mechanisms for the platform
● Collaborate with the front-end team to integrate the backend services with the user-facing application
● Write clean and maintainable code with a focus on performance and scalability
Requirements:
● Bachelor's or Master's degree in Computer Science or a related field
● At least 5 years of experience in backend development
● Strong understanding of NodeJS, MongoDB, and other backend languages
● Experience with distributed systems and RESTful APIs
● Experience with React is a plus
● Strong understanding of Authentication, Identity Management, and Authorization mechanisms
● Familiarity with Firewall Security and other security mechanisms
● Strong problem-solving skills and attention to detail
Data Science
Machine Learning (ML)XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
at Altimetrik
Jenkins
GitHubDevOps Architect
Experience: 10 - 12+ year relevant experience on DevOps
Locations : Bangalore, Chennai, Pune, Hyderabad, Jaipur.
Qualification:
• Bachelors or advanced degree in Computer science, Software engineering or equivalent is required.
• Certifications in specific areas are desired
Technical Skillset: Skills Proficiency level
- Build tools (Ant or Maven) - Expert
- CI/CD tool (Jenkins or Github CI/CD) - Expert
- Cloud DevOps (AWS CodeBuild, CodeDeploy, Code Pipeline etc) or Azure DevOps. - Expert
- Infrastructure As Code (Terraform, Helm charts etc.) - Expert
- Containerization (Docker, Docker Registry) - Expert
- Scripting (linux) - Expert
- Cluster deployment (Kubernetes) & maintenance - Expert
- Programming (Java) - Intermediate
- Application Types for DevOps (Streaming like Spark, Kafka, Big data like Hadoop etc) - Expert
- Artifactory (JFrog) - Expert
- Monitoring & Reporting (Prometheus, Grafana, PagerDuty etc.) - Expert
- Ansible, MySQL, PostgreSQL - Intermediate
• Source Control (like Git, Bitbucket, Svn, VSTS etc)
• Continuous Integration (like Jenkins, Bamboo, VSTS )
• Infrastructure Automation (like Puppet, Chef, Ansible)
• Deployment Automation & Orchestration (like Jenkins, VSTS, Octopus Deploy)
• Container Concepts (Docker)
• Orchestration (Kubernetes, Mesos, Swarm)
• Cloud (like AWS, Azure, GoogleCloud, Openstack)
Roles and Responsibilities
• DevOps architect should automate the process with proper tools.
• Developing appropriate DevOps channels throughout the organization.
• Evaluating, implementing and streamlining DevOps practices.
• Establishing a continuous build environment to accelerate software deployment and development processes.
• Engineering general and effective processes.
• Helping operation and developers teams to solve their problems.
• Supervising, Examining and Handling technical operations.
• Providing a DevOps Process and Operations.
• Capacity to handle teams with leadership attitude.
• Must possess excellent automation skills and the ability to drive initiatives to automate processes.
• Building strong cross-functional leadership skills and working together with the operations and engineering teams to make sure that systems are scalable and secure.
• Excellent knowledge of software development and software testing methodologies along with configuration management practices in Unix and Linux-based environment.
• Possess sound knowledge of cloud-based environments.
• Experience in handling automated deployment CI/CD tools.
• Must possess excellent knowledge of infrastructure automation tools (Ansible, Chef, and Puppet).
• Hand on experience in working with Amazon Web Services (AWS).
• Must have strong expertise in operating Linux/Unix environments and scripting languages like Python, Perl, and Shell.
• Ability to review deployment and delivery pipelines i.e., implement initiatives to minimize chances of failure, identify bottlenecks and troubleshoot issues.
• Previous experience in implementing continuous delivery and DevOps solutions.
• Experience in designing and building solutions to move data and process it.
• Must possess expertise in any of the coding languages depending on the nature of the job.
• Experience with containers and container orchestration tools (AKS, EKS, OpenShift, Kubernetes, etc)
• Experience with version control systems a must (GIT an advantage)
• Belief in "Infrastructure as a Code"(IaaC), including experience with open-source tools such as terraform
• Treats best practices for security as a requirement, not an afterthought
• Extensive experience with version control systems like GitLab and their use in release management, branching, merging, and integration strategies
• Experience working with Agile software development methodologies
• Proven ability to work on cross-functional Agile teams
• Mentor other engineers in best practices to improve their skills
• Creating suitable DevOps channels across the organization.
• Designing efficient practices.
• Delivering comprehensive best practices.
• Managing and reviewing technical operations.
• Ability to work independently and as part of a team.
• Exceptional communication skills, be knowledgeable about the latest industry trends, and highly innovative
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