Job/Soft skill training

Pylon Management Consulting Reviews by Employees

Staffing Specialist

Management Trainee

HR Recruiter

We are seeking a skilled Site Reliability Engineer (SRE) / DevOps Engineer to join our infrastructure team. In this role, you will design, build, and maintain scalable infrastructure, CI/CD pipelines, and observability systems to ensure high availability, reliability, and security of our services. You will work cross-functionally with development, QA, and security teams to automate operations, reduce toil, and enforce best practices in cloud-native environments. Responsibilities : - Design, implement, and manage cloud infrastructure (GCP/AWS/Azure) using Infrastructure as Code (Terraform). - Maintain and improve CI/CD pipelines using tools like CircleCI, GitLab CI, or ArgoCD. - Ensure high availability and performance of services using Kubernetes (GKE/EKS/AKS) and container orchestration. - Implement monitoring, logging, and alerting using Prometheus, Grafana, ELK, or similar tools. - Collaborate with developers to optimize application performance and deployment processes. - Manage and automate security controls such as IAM, RBAC, network policies, and vulnerability scanning. Requirements : - Strong knowledge of Linux. - Experience with scripting languages such as Python, Bash, or Go. - Experience with cloud platforms (GCP preferred, AWS or Azure acceptable). - Proficient in Kubernetes operations, including Helm, operators, and service meshes. - Experience with Infrastructure as Code (Terraform). - Solid experience with CI/CD pipelines (GitLab CI, CircleCI, ArgoCD, or similar). - Familiarity with monitoring and observability tools (Prometheus, Grafana, ELK, etc.). - Knowledge of networking concepts (TCP/IP, DNS, Load Balancers, Firewalls). - Understanding of security best practices (Secrets Management, IAM, Zero Trust). Preferred Qualifications : - Experience with advanced networking solutions. - Familiarity with SRE principles such as SLOs, SLIs, and error budgets. - Exposure to multi-cluster or hybrid-cloud environments. - Knowledge of service meshes (Istio). - Experience participating in incident management and postmortem processes.

Others

DevOps Engineer - Cloud Infrastructure (7-11 yrs)

Requirements : - Master's degree (PhD preferred) in Machine Learning, Statistics, Computer Science, or a related quantitative field. - 8+ years of experience in Data Science or Analytics, with at least 2-3 years of people management experience. - Proven track record of building and deploying ML models in production at scale. - Experience managing teams of 4+ data scientists/engineers and delivering across cross-functional teams. - Deep expertise in ML algorithms, experimental design, and performance monitoring. - Strong coding skills (Python, SQL) and familiarity with Big Data technologies like Spark, Hive, or Redshift. - Ability to translate business needs into technical solutions, prioritize roadmaps, and estimate effort accurately. - Strong communication and stakeholder management skills with a bias for action and clarity in execution. Bonus Points For : - Experience leading ML initiatives in B2C or e-commerce settings. - Contributions to internal tools, open-source libraries, or research publications. - Experience in personalization, recommendations, ranking, or supply chain ML problems. - Strong understanding of ML system performance trade-offs: latency, cost, and throughput.

Data Science Manager - Machine Learning Models (9-14 yrs)

As a Salesforce Developer, you'll be instrumental in designing, developing, and implementing cutting-edge solutions for our diverse clients. You'll leverage the full power of the Salesforce platform, including Sales Cloud, Service Cloud, Experience Cloud, and more, to craft exceptional customer experiences. This is your chance to contribute to high-impact projects, collaborate with top-tier talent, and accelerate your career in the cloud computing space using AI. Responsibilities : - Develop and Implement: Design, develop, and deploy robust and scalable Salesforce solutions using Apex, Aura, and LWC. Contribute to the architecture of complex systems. - Multi-Cloud Expertise: Implement and customize Salesforce Sales Cloud, Service Cloud, and Experience Cloud. Explore and leverage other Salesforce clouds (e. g., Marketing Cloud, Data Cloud, Revenue Cloud, Health Cloud, Financial Services Cloud) for comprehensive solutions. - Integrations: Develop and maintain integrations between Salesforce and other systems using REST and SOAP APIs. Mulesoft (or similar middleware solutions) experience is essential. - DevOps: Contribute to our DevOps culture using tools like Copado for CI/CD. - Client Collaboration: Work directly with clients to understand their needs, translate them into technical specifications, and present solutions. - Problem Solving: Proactively identify and resolve technical challenges. - Continuous Learning: Stay up-to-date with the latest Salesforce releases and best practices. - Agentforce Optimization: Utilize Agentforce to improve agent productivity and customer experience. Requirements : - A bachelor's or master's degree in computer science, engineering, or a related field - 3+ years of hands-on Salesforce development experience. - Deep proficiency in Apex, Aura, and LWC. - Proven multi-cloud experience including, but not limited to, Sales Cloud, Service Cloud, and Experience Cloud. - Strong understanding of Salesforce architecture and best practices. - Extensive experience with REST and SOAP API integrations. - Hands-on experience with Mulesoft (or similar middleware solutions). - Experience with Copado for CI/CD is essential. - Agentforce experience is highly desirable. - Salesforce Data Cloud experience is a plus. Preferred Qualifications : - A bachelor's or master's degree in computer science, engineering, or a related field. - Salesforce Certified Platform Developer I and II (Required). - Salesforce Certified Sales Cloud Consultant (Preferred). - Salesforce Certified Service Cloud Consultant (Preferred). - Salesforce Certified Experience Cloud Consultant (Preferred). - Mulesoft Certified Developer (Preferred). - Salesforce Data Cloud (Preferred).

Salesforce Developer - Sales & Service Cloud (3-6 yrs)

Technologies Used : Below are a few of the technologies that we work on : - Web Application Framework Ruby on Rails, Ktor, AWS Lambda - Languages Ruby, Java, Kotlin, Javascript, Python - Datastores PostgreSQL, Aerospike, Redis, Amazon Redshift, DynamoDb - Communication HTTP, Amazon SQS, Sidekiq, Amazon SNS - Server Management Amazon ECS, Docker Qualifications : - Software Engineering - Deep knowledge of one of the programming language they have experience in - Proficient in OOP and Design Patterns, experience with functional programming would be a plus - Data modelling experience in Relational Databases - Ability to design and implement low latency RESTful services- Product Delivery - Ability to scope, review and refine user stories for technical completeness and to alleviate dependency risks. - Well versed in working with agile methodologies which includes phases such as design, development, code review, testing and release management - Ability to have worked in a CI/CD environment, with hands on experience with Git or any similar source code management tools - Product Maintenance - Experience troubleshooting server performance issues such as memory tuning, GC tuning, resource leaks etc - Continuously refactor applications to ensure high quality design

Bangalore

Backend Engineer - Java/Python (5-9 yrs)

Primary Roles and Responsibilities : - Good expertise in SQL,Snowflake. - Ability to provide solutions that are forward-thinking in data engineering and analytics space - Collaborate with DW/BI leads to understand new ETL pipeline development requirements. - Triage issues to find gaps in existing pipelines and fix the issues - Work with business to understand the need in the reporting layer and develop a data model to fulfill reporting needs - Help joiner team members to resolve issues and technical challenges. - Drive technical discussions with client architect and team members - Orchestrate the data pipelines in the scheduler via Airflow Skills and Qualifications : - Bachelor's and/or masters degree in computer science or equivalent experience. - Must have total 6+ yrs. of IT experience and 3+ years' experience in Data warehouse/ETL projects. - Expertise in Snowflake security, Snowflake SQL and designing/implementing other Snowflake objects. - Hands-on experience with Snowflake utilities, SnowSQL, Snowpipe, Snowsight and Snowflake connectors. - Deep understanding of Star and Snowflake dimensional modeling. - Strong knowledge of Data Management principles - Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture - Should have hands-on experience in SQL and Spark (PySpark) - Experience in building ETL / data warehouse transformation processes - Experience with Open Source non-relational / NoSQL data repositories (incl. MongoDB, Cassandra, Neo4J) - Experience working with structured and unstructured data including imaging & geospatial data. - Experience working in a Dev/Ops environment with tools such as Terraform, CircleCI, GIT. - Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning, troubleshooting and Query Optimization. - Databricks Certified Data Engineer Associate/Professional Certification (Desirable). - Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects - Should have experience working in Agile methodology - Strong verbal and written communication skills. - Strong analytical and problem-solving skills with a high attention to detail.

Chennai

Gurgaon/Gurugram

Kolkata

Hyderabad

Pune

Snowflake Engineer - SQL/ETL (6-12 yrs)

We are looking for an experienced Software Development Engineer - IV (Backend), who will create prototypes and proofs-of-concept for iterative development in Java. Additionally, in this role, you will be responsible for converting design into code fluently. Responsibilities : - Focus on scalability, performance, service robustness, and cost trade-offs. - Have a continuous drive to explore, improve, enhance, automate, and optimise systems and tools to best meet evolving business and market needs. - Pay attention to detail and think abstractly. - Collaborate with teams to develop and support the smooth 24/7 operation of our service. - Create prototypes and proofs-of-concept for iterative development. - Take complete ownership of projects and their development cycle. Requirements : - BTech, preferably from premier institutions. - 6-10 years of relevant experience working as a Software Development Engineer. - Strong knowledge of any of the databases like MySQL, NoSQL, SQL Server, Oracle, PostgreSQL. - Experience in Java and web technologies. - Experience in scripting languages like Python, PHP, etc. - Hands-on experience with systems that are asynchronous, RESTful, and demand concurrency. - Knowledge of best practices for all stages of software development - including coding standards, code reviews, testing, and deployment.

Software Development Engineer IV - Backend Technologies (6-10 yrs)

Job Description : Meesho is looking for an Engineering Manager (EM) to lead a high-performing backend engineering team. You will drive technical excellence, mentor engineers, and architect scalable, distributed systems to power our hyper-growth e-commerce platform. Responsibilities : - Lead, mentor, and grow a team of backend engineers. - Architect, design, and deliver high-performance, scalable systems. - Drive best practices in Java, System Design, DSA, and Distributed Systems. - Collaborate with product, data, and infrastructure teams to build innovative solutions. - Ensure operational excellence, reliability, and efficiency in backend services. Requirements : - 8+ years of backend development experience. - Expertise in Java, Distributed Systems, and System Design. - Strong foundation in Data Structures and Algorithms (DSA). - 2+ years of people management experience. - Experience in scaling high-traffic systems (e-commerce preferred). Good to Have : - Familiarity with microservices, cloud platforms (AWS/GCP), and DevOps practices. - Experience in fast-paced startups or consumer tech companies.

Engineering Manager - Java (8-13 yrs)

Requirements : - Should be a good team player and able to work independently under pressure. - Experience handling the remote and in-house teams is a must. - Strategic thinker balanced with a grasp of details. - Must possess the ability to switch between execution and strategy mode most effortlessly. - Ability to see the big picture, visualize the future, and develop relevant functional strategies that add value to our business. - Ability to prioritize and cope with competing demands. - Must possess a sense of urgency and excellent execution and project management skills. - Must be excited by and be able to navigate ambiguity. - Passion for results and excellence. - Must be able to get the job done by working collaboratively with others. - Inquisitive and analytical mind; out-of-the-box thinking; brings a creative perspective to business problems, applying functional expertise, business understanding, and common sense. Technical : - Hands-on experience in building mobile applications and mobility solutions - native applications. - Sound understanding of Swift, Xcode, iOS versions, debugging tools, memory management, multi-threading techniques, UI design, and architectural patterns. - Should have excellent programming/coding and logical skills. - Experience with OTT tech stack is a plus. - Expert-level knowledge of iOS development, including technologies like UIKit, Swift UI, Core Animation, Auto Layout, and Cocoa Touch. - Should be able to do technical and architecture planning for the development with various stakeholders and vendors. Responsibilities : - Building scalable, highly available, resilient, extendable, and secured architecture to provide a significant boost to the business. - Architect and maintain scalable, highly available systems and frameworks. - Lead the refactoring of existing systems to improve performance and scalability, providing technical guidance to the team. - Develop and execute a long-term tech strategy for analytics, translating it into a practical roadmap. - Work with distributed systems technologies, including Vertex, Akka, and Zookeeper. - Stay current with emerging technology trends, identifying and implementing optimal solutions. - Lead and mentored a collaborative, high-performance engineering team, promoting a strong engineering culture focused on operational excellence and innovation. - Champion the use of open-source technologies, agile development, and big data frameworks to solve complex problems.

Technical Architect - Mobile App Designing (10-14 yrs)

You will be responsible for building world-class technology products and platforms that are at the forefront of the technology revolution in the Indian payments ecosystem. You are someone who insists on the highest standards for quality, maintainability, and performance. You will be working in a fast-paced and agile work environment delivering quality solutions that have an immediate business impact. Responsibilities : - Design and develop high-performance, scalable, robust, and reliable applications using Java & Spring - Drive continuous improvement and continuous delivery in our software development process within an agile development team - Write automated unit and integration tests as appropriate to support continuous integration pipelines - Collaborate with cross-functional teams that include developers, QA, product owners, and TPMs to implement the extensible and scalable solution - Evaluating third-party APIs and capabilities to integrate with the product - Creation and maintenance of proper documentation for Design, Architecture, API specs, interfaces, etc. - Mentor engineers, perform code reviews, provide technical guidance, etc. Requirements : - BE / B. Tech / M. Tech / ME (Preferably Computer Science ) from a Tier-1/11 Engineering Institute. - Java, Spring Boot, JPA, MicroServices, Messaging Queue, SQL/PLSQL, GIT, JUnit, Linux. - Fintech/ Payments, Banking, Network, Consulting. Desired profile of the candidate : - Java, Spring Boot, Spring Cloud, Spring Security, and other modern Java stack technologies. - Relational databases like Oracle/PostgreSQL/MYSQL, and any NoSQL database. - Must have experience with REST and XML/JSON/Protobuf. - Strong technical knowledge on various streaming frameworks like Kafka, Apache Flink, Apache Storm, and caching solutions like Memcache/Redis, etc - Industry API tooling such as Postman, Castlemock, Apigee, Swagger, etc. - Hands-on experience with tools like Splunk, Kibana, Grafana, Prometheus, version control, and configuration systems like GITLAB, Jenkins, code quality tools like SonarQube, Fortify, Veracode, etc. - Application security standards like OWASP. - Git (Gitlab / Github). - Strong analytical skills, with high problem-solving capabilities. - Excellent interpersonal and communication skills. - Keep up the pace with the latest technology and developments in the industry. - Knowledge in the Payments domain. - Cloud-Native Design & Containerisation (Docker). - Knowledge of AWS (Or any other Cloud Platform).

Java Backend Developer - Spring Boot/Microservices Architecture (4-7 yrs)

Responsibilities : - Responsible for ensuring that the architecture, data pipeline, and design of the platform remain top-notch with respect to scalability, availability, reliability, and maintainability. - Create clear career paths for team members and help them grow with regular mentoring. - Perform regular performance evaluations and share and seek feedback. - Own end-to-end availability and performance of features, driving rapid product innovation while ensuring a reliable service. - Working closely with the various stakeholders like Program Managers, Product Managers, Reliability and Continuity Engineering (RCE) team, and QE team to estimate and plan projects in an agile environment. - Maintain and drive tech backlog execution for non-functional requirements of the platform, required to keep the platform resilient. - Assist in release planning and prioritisation based on technical feasibility and engineering constraints. - A zeal to continually find new ways to improve architecture, design, and ensure timely delivery and high quality. Requirements : - Computer Science or equivalent engineering graduate from a reputed college with 5-8 years of experience in backend engineering. - Thorough understanding of highly distributed, low-latency, and high-throughput systems. - Knowledge of globally distributed disaster-recovery-enabled architectures. - Experience with the best practices of REST (SpringBoot, jHipster, Dropwizard) and non-REST (gRPC) communication. - Exceptional code reviewer and solid programmer (Node.js/Java). - Knowledge of essential distributed design patterns for backpressure, bulkhead, circuit breaker, event sourcing, CQRS, event driven architecture. - Good knowledge of mid-tier caching strategies. - Understanding of Containerization, Orchestration, and Service mesh frameworks (Kubernetes, Mesos, Ist.io, etc). - Good understanding of the best practices of API design. - Champion of Engineering excellence - code reviews, unit tests, documentation of system design and architecture, etc.

Software Development Engineer III - Backend Technologies (5-8 yrs)

WHAT YOULL DO : - Anticipate bottlenecks and use great judgment and communication to make smart trade-offs (e.g., time vs. effort vs. features); effectively negotiate while being willing to readjust priorities to ensure the right customer, technology, and engineering outcomes. - Roll up your sleeves and personally contribute to help teams overcome challenges and deliver on time. - Work directly in data management and storage systems such as Snowflake, Databricks, a Teradata to measure, track and manage projects through timely delivery. - Coordinate across multiple engineering teams and charters to deliver holistic designs. - Build prototypes and proofs of concept for data migration, transformation, and reporting. - Drive cross-functional programs to optimize performance, cost, and reliability of high performance data systems. - Track up and downstream dependencies for each data movement as per each projects unique architecture. - Define and execute programs delivering data as a product, including writing form documentation such as project charters or program narratives to enable large, distributed, worldwide systems while meeting stringent privacy and compliance requirements. - Work with Product to manage requirements, then organize technical efforts. - Work with Engineering and Data Architects to get workable timeline estimates. - Take large, complex projects, break them into manageable pieces, and deliver timely results. - Coordinate project intake, estimation, and prioritization. - Create and maintain project and program schedules, including creating and tracking metrics when needed. - Identify and regularly communicate with up and downstream stakeholders. WHAT YOULL NEED : - 5+ years Program Management experience, and 3+ years working with data. - Demonstrable track record of delivering complex data infrastructure, orchestrations, and reporting tools while managing multiple priorities. - Strong proficiency in project management tools such as Jira, Asana, and Smartshee - Full competency in multiple project management methodologies, including Scrum, Kanban, and Waterfall. - Basic proficiency in data management and storage systems such as Databricks, Snowfl and Teradata. - Ability to write your own queries, test API endpoints, and build dashboards. - Ability to understand the big picture of the project design and anticipate dependencies. - Ability to regularly engage with senior stakeholders and influence across the organization without formal authority, especially when negotiating to resolve conflict smoothly to programs on track. - Ability to innovate to deliver the originally scoped value while simplifying the initial scope assumptions within the iron triangle

Technical Program Manager - Data Infrastructure (7-12 yrs)

Responsibilities : - Conceptualize and architect the AI-native, agentic platform for our clients, deployable on-prem or over the cloud. - Lead hands-on platform development, working with a pool of data scientists, product managers, software engineers, QA engineers, a UX designer, and finance domain experts. - Collaborate with cloud and AI companies such as AWS, IBM, OpenAI, etc, as needed. - Engage with clients for requirement gathering and platform delivery. - Research and evolve the platform to keep it relevant to internal and external needs. - Contribute to other GenAI projects as may be needed from time to time. Roles & Responsibilities : - Design and implement scalable, robust and cost-effective ML/DL infrastructure to support end-to-end Machine Learning workflows. - Architect and develop GenAI solutions using the latest techniques such as RAG, transformer architecture, etc. in building meaningful and intricate GenAI solutions - Develop architecture blueprints, technical designs, and implementation plans for AI/ML projects. - Evaluate and select appropriate AI/ML technologies, frameworks, and tools based on project requirements and industry best practices. - Build and maintain Generative AI workflows, including model training or fine-tuning, and establishing feedback loops - Develop and maintain CI/CD pipelines for ML models, ensuring smooth deployment and monitoring in production environments. - Collaborate with Product Managers and stakeholders to understand their business objectives, challenges, and opportunities for leveraging AI/ML technologies. - Provide technical guidance and leadership to cross-functional teams throughout the project lifecycle - Collaborate with data scientists and software engineers to streamline the model development lifecycle, from experimentation to deployment and monitoring. - Implement best practices for version control, testing, and validation of ML models. - Ensure high availability and reliability of ML systems, including performance monitoring and troubleshooting. - Stay current with the latest advancements in AI/ML research, methodologies, and tools, and incorporate them into our solution offerings - Mentor junior team members and guide MLOps best practices and AI advancements.

Director - AI Platform (8-13 yrs)

MPL is looking for a Product Manager - Casual and Puzzle Games to partner with us as we continue to build and strengthen our platform by scaling our Casual and Puzzle Game offerings. This role is based out of Bangalore and will provide direct exposure to senior stakeholders. Responsibilities : - Lead the development and execution of the product roadmap to drive consumer growth, engagement, and retention. - Define and prioritize features and enhancements based on customer insights, market trends, and business objectives. - Collaborate with cross-functional teams, including engineering, design, marketing, and revenue, to deliver high-impact product solutions. - Review daily KPIs and proactively identify opportunities, trends, and threats to the product. - Stay updated on industry trends, emerging technologies, and best practices in product management. Requirements : - 2-4 years of experience as a Product Manager with strong problem-solving skills and analytical ability. - Comfort with uncertainty and the ability to roll up their sleeves to get things done. - Has worked in a metrics-rich environment and can be hands-on with data. - Experience setting up product rituals and design processes would be a plus. - Ability to work and engage with cross-functional and senior stakeholders. - Familiarity with ML and ML-driven systems of data analysis, i. e., understanding of personalization as a lever of product development, breaking down business problems into ML problems, devising testing methodology, and evaluation of competing ML models, etc.

Product Manager - Casual & Puzzle Games (3-6 yrs)

Mandatory Skills : - 5+ Years of experience as a Data Engineer. - Strong technical expertise in SQL Advanced SQL querying skills (joins, subqueries, CTEs, aggregation). - Strong knowledge of joins and common table expressions (CTEs). - Strong experience with Python. - Experience in Snowflake, ETL, SQL, CI/CD. - Strong expertise in ETL process and with various data model concepts. - Knowledge of star schema and snowflake schema. - Good to know about AWS services such as S3, Athena, Glue, EMR/Spark with a major emphasis on S3 and Glue. Nice to Have : - Experience with Big Data Tools and technologies. - Good Understanding of data structures and data analysis. - Knowledge of Insurance Domain is an addition. Responsibilities : - Understand and translate business needs into data models supporting long-term solutions. - Perform reverse engineering of physical data models from databases and SQL scripts. - Analyze data-related system integration challenges and propose appropriate solutions. - Assist with and support setting the data architecture direction (including data movement approach, architecture/technology strategy, and any other data-related considerations to ensure business value). Key Skills : SQL, Snowflake, Python, AWS.

Remote

Anywhere in India/Multiple Locations

Data Engineer - Python/SQL (5-8 yrs)

Responsibilities : - Manage Azure Cloud services. Work with the engineering team to design the architecture and deployment strategy. - Write Infra as code scripts for provisioning new environments. - Assist with onboarding the applications to the automated continuous pipeline framework. - Ensure a consistent and fast CI/CD pipeline. - Provide various administration, maintenance, and support activities. - Create tooling to improve developer experience. - Continuous monitoring and improvement of infrastructure for performance, stability, scalability, and security. - Work closely with development teams to ensure software deployment readiness. - Work on infrastructure cost optimisation. Requirements : - Must-Have : Azure Cloud Experience. - Strong DevOps engineering experience with automated build tools, continuous integration, and continuous deployment concepts. - Experienced in Agile development lifecycle. Good knowledge of : - Sonar, Fortify, and other standard code coverage/testing tools. - Cloud-based environments such as Azure - Container platform : Docker, K8s. - Automation testing using tools such as Jasmine/Karma, Protractor. - Web servers such as Nginx, Apache. Hands-on experience with the following : - Programming languages : Python, Shell, Perl, and SQL - Database platforms : PostgreSQL/MSSQL/MongoDB, Elastic Search - SCM tools : GIT, Continuous Integration Tools : Jenkins, Azure DevOps/GitHub Actions o Operating Systems : Linux/Unix Desired Technical Skills : - Node Server Management. - Knowledge of Ansible/Chef platforms. - Azure AD management. - Monitoring tools like AppDynamics, Splunk, and JProfiler. - Programming languages : Angular and Node. - Source code dependency management and automation with at least one of the following : Grunt, Gradle, or other similar tools/frameworks. - Hadoop/Scala or any other big data experience.

DevOps Engineer - Azure Cloud (2-4 yrs)

Apply to 15 Pylon Management Consulting jobs on Hirist.tech, India's No.1 IT job portal. Explore IT job in Pylon Management Consulting Now! 

Jobs by location

Pylon Management Consulting Jobs

Explore Jobs based in trending companies

Trending jobs in your city