11+ Application service management Jobs in Pune | Application service management Job openings in Pune

Required skills and experience

• Bachelor's degree, Computer Science, Engineering or other similar concentration (BE/MCA)

• Master’s degree a plus

• 3-8 years’ experience in Production Support/ Application Management/ Application Development (support/ maintenance) role.

• Excellent problem-solving/troubleshooting skills, fast learner

• Strong knowledge of Unix Administration.

• Strong scripting skills in Shell, Python, Batch is must.

• Strong Database experience – Oracle

• Strong knowledge of Software Development Life Cycle

• Power shell is nice to have

• Software development skillsets in Java or Ruby.

• Worked upon any of the cloud platforms – GCP/Azure/AWS is nice to have

Director - Data engineering

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

Your Responsibilities

what you will wake up to solve.

1. Delivery & Tactical Rigor

• Methodology Implementation: Implement and manage a unified, 'DataOps-First' methodology for data engineering delivery (ETL/ELT pipelines, Data Modeling, MLOps, Data Governance) within assigned business units. This ensures predictable outcomes and trusted data integrity by reducing architecture variability at the project level.
• Operational Stewardship: Drive initiatives to optimize team utilization and enhance operational efficiency within the practice. You manage the commercial success of your squads, ensuring data delivery models (from migration to modern data stack implementation) are executed profitably, scalably, and cost-effectively.
• Execution & Technical Resolution
• Technical Escalation: Serve as the primary escalation point for delivery issues, personally leading the resolution of complex data integration bottlenecks and pipeline failures to protect client timelines and data reliability standards.
• Quality Enforcement
• Quality Oversight: Execute and monitor technical data quality standards, ensuring engineering teams adhere to strict policies regarding data lineage, automated quality checks (observability), security/privacy compliance (GDPR/CCPA/PII), and active catalog management.

2. Strategic Growth & Practice Scaling

• Talent & Scaling Execution: Execute the strategy for data engineering talent acquisition and development within your business units. Implement objective metrics to assess and grow the 'Data-Native' DNA of your teams, ensuring squads are consistently equipped to handle petabyte-scale environments and high-impact delivery.
• Offerings Alignment: Drive the adoption of standardized regional offerings (e.g., Modern Data Platform, Data Mesh, Lakehouse Implementation). Ensure your teams leverage the profitable frameworks defined by the practice to accelerate time-to-insight and eliminate architectural fragmentation in client environments.
• Innovation & IP Development: Lead the practical integration of Vector Databases and LLM-ready architectures into project delivery. Champion the hands-on development of IP and reusable accelerators (e.g., automated ingestion engines) that improve delivery speed and enhance data availability across your portfolio.

3. Leadership & Unit Management

• Unit Leadership: Directly lead, mentor, and manage the Engineering Managers and Lead Architects within your business unit. Hold your teams accountable for project-level operational consistency, technical talent development, and strict adherence to the practice's data governance standards.
• Stakeholder Communication: Clearly articulate the business unit’s operational performance, technical quality metrics, and delivery progress to the C-suite Stakeholders and regional client leadership, bridging the gap between technical execution and business value.
• Ecosystem Alignment: Maintain strong technical relationships with key partner contacts (Snowflake, Databricks, AWS/GCP). Align team delivery capabilities with current product roadmaps and ensure squad-level participation in training, certifications, and partner-led enablement opportunities.

Welcome to Searce

The ‘process-first’, AI-native modern tech consultancy that's rewriting the rules.

We don’t do traditional.

As an engineering-led consultancy, we are dedicated to relentlessly improving the real business outcomes. Our solvers co-innovate with clients to futurify operations and make processes smarter, faster & better.

Functional Skills

1. Delivery Management & Operational Excellence

• Methodology Execution: Expert capability in implementing and enforcing a unified delivery methodology (DataOps, Agile, Mesh Principles) within specific business units. Proven track record of auditing squad-level adherence to ensure consistency across the project lifecycle.
• Operational Performance: High proficiency in managing day-to-day operational metrics, including squad utilization, resource forecasting, and productivity tracking. Skilled at optimizing team performance to meet profitability and efficiency targets.
• SOW & Risk Mitigation: Proven experience in operationalizing Statement of Work (SOW) requirements and identifying technical delivery risks early. Expert at mitigating scope creep and data-specific bottlenecks (e.g., latency, ingestion gaps) before they impact client outcomes.
• Technical Escalation Leadership: Demonstrated ability to lead "war room" efforts to resolve complex pipeline failures or data integrity issues. Skilled at providing clear, rapid remediation plans and communicating technical status directly to regional stakeholders.

2. Architectural Implementation & Technical Oversight

• Modern Stack Proficiency: Deep, hands-on expertise in implementing Cloud-Native architectures (Lakehouse, Data Mesh, MPP) on Snowflake, Databricks, or hyperscalers. Ability to conduct deep-dive architectural reviews and course-correct design decisions at the squad level to ensure scalability.
• Operationalizing Governance: Proven experience in embedding data quality and observability (completeness, freshness, accuracy) directly into the CI/CD pipeline. Responsible for technical enforcement of regulatory compliance (GDPR/PII) and maintaining the integrity of data catalogs across active projects.
• Applied Domain Expertise: Practical experience leading the delivery of high-growth solutions, specifically Generative AI infrastructure (RAG, Vector DBs), Real-Time Streaming, and large-scale platform migrations with a focus on zero-downtime execution.
• DataOps & Engineering Standards: Expert-level mastery of DataOps, including the setup and management of orchestration frameworks (Airflow, Dagster) and Infrastructure as Code (IaC). You ensure that automation is a baseline requirement, not an afterthought, for all delivery teams.

3. Unit Management & Commercial Execution

• Unit & Team Management: Proven success in leading and mentoring Engineering Managers and Lead Architects. Responsible for the operational metrics, technical output, and career development of the business unit's talent pool.
• Offerings Implementation & Scoping: Expertise in translating service offerings (e.g., Data Maturity Assessments, Lakehouse Builds) into accurate project scopes, technical estimates, and resource plans to ensure delivery is both profitable and competitive.
• Talent Growth & Mentorship: Functional ability to implement growth frameworks for data engineering roles. Focus on hands-on coaching and scaling high-performance technical talent to meet the demands of complex, petabyte-scale environments.
• Partner Enablement: Functional competence in managing regional technical relationships with major partners (Snowflake, Databricks, GCP/AWS). Drives squad-level certifications, joint technical enablement, and alignment with partner product roadmaps.

Tech Superpowers

• Modern Data Architect – Reimagines business with the Modern Data Stack (MDS) to deliver data mesh implementations, insights, & real value to clients.
• End-to-End Ecosystem Thinker – Builds modular, reusable data products across ingestion, transformation (ETL/ELT), governance, and consumption layers.
• Distributed Compute Savant – Crafts resilient, high-throughput architectures that survive petabyte-scale volume and data skew without breaking the bank.
• Governance & Integrity Guardian – Embeds data quality, complete lineage, and privacy-by-design (GDPR/PII) into every table, view, and pipeline.
• AI-Ready Orchestrator – Engineers pipelines that bridge structured data with Unstructured/Vector stores, powering RAG models and Generative AI workflows.
• Product-Minded Strategist – Balances architectural purity with time-to-insight; treats every dataset as a measurable "Data Product" with clear ROI.
• Pragmatic Stack Curator – Chooses the simplest tools that compound reliability; fluent in SQL, Python, Spark, dbt, and Cloud Warehouses.
• Builder @ Heart – Writes, reviews, and optimizes queries daily; proves architectures with cost-performance benchmarks, not slideware. Business-first, data-second, outcome focused technology leader.

Experience & Relevance

• Executive Experience: Minimum 10+ years of progressive experience in data engineering and analytics, with at least 3 years in a Senior Manager or Director -level role managing multiple technical teams and owning significant operational and efficiency metrics for a large data service line.
• Delivery Standardization: Demonstrated success in defining and implementing globally consistent, repeatable delivery methodologies (DataOps/Agile Data Warehousing) across diverse teams.
• Architectural Depth: Must retain deep, current expertise in Modern Data Stack architectures (Lakehouse, MPP, Mesh) and maintain the ability to personally validate high-level architectural and data pipeline design decisions.
• Operational Leadership: Proven expertise in managing and scaling large professional services organizations, demonstrated ability to optimize utilization, resource allocation, and operational expense.
• Domain Expertise: Strong background in Enterprise Data Platforms, Applied AI/ML, Generative AI integration, or large-scale Cloud Data Migration.
• Communication: Exceptional executive-level presentation and negotiation skills, particularly in communicating complex operational, data quality, and governance metrics to C-level stakeholders.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

Responsibilities

·        Understand requirements and translate them to product features.

·        Participate in Scrum meetings and express the work done and the plan clearly. Participate in scrum ceremonies and clearly communicate.

• Develop applications using Front end, middleware, and database-related technologies.
• Should be hands-on in developing and implementing best practices and writing smart pieces of code.
• Coding standards should be followed, and the code should be highly performant.
• Should be able to write unit test cases using any of the frameworks and should be completely automated.
• Should have strong exposure to REST API design and principles and adhere to RAML/Swagger or Open API specification
• Should be able to do impact analysis and document the design of the components.
• Should be able to develop reusable components using proper design patterns as listed by lead/architect so that it is extensible.

The Role offers

·        An outstanding opportunity to re-imagine, redesign, and apply technology to add value to the business and operations.

·        An end-to-end project exposure across multiple technical stacks and cloud platform

·        An individual who has a passion for learning and adapts to new technologies quickly and scales to the next level easily.

• High visibility, the opportunity to interact with multiple groups within the organization, technology vendors, and implementation partners.

Essential Skills

·        4+ years of in-depth knowledge in Core Java, Spring DI, Spring MVC, REST, JMS, Hibernate, JDBC, PL/SQL

·        1+ years of experience in Spring boot, Angular 8 or above

·        2+ years of experience in RESTful HTTP services design

·        2+ years of experience in Javascript, JQuery, Bootstrap, HTML 5, CSS3

·        2+ years of experience with SQL Server, Postgre SQL writing stored procedures, performance tuning, and identifying deadlocks, transactions, and data locking/blocking scenarios

·        Working knowledge of Webpack, CLI, and Agile Scrum framework

·        Good communication and unit testing knowledge.

·        Good to have knowledge in one of the cloud platforms like AWS/Azure/PCF

·        Work experience in frameworks like JPA, Spring Core, Spring AOP, and Spring Data

·        Familiar with Continuous Integration methodologies and tools, including Jenkins

·        Good to have: Exposure to Microservices, Docker, Kubernetes, and cloud deployment 

Essential Qualification

·        MCA/equivalent master’s in computers is a must.

∙

Good experience in 5+ SQL and NoSQL database development and optimization. 

∙Strong hands-on experience with Amazon Redshift, MySQL, MongoDB, and Flyway. 

∙In-depth understanding of data warehousing principles and performance tuning techniques. 

∙Strong hands-on experience in building complex aggregation pipelines in NoSQL databases such as MongoDB. 

∙Proficient in Python or Scala for data processing and automation. 

∙3+ years of experience working with AWS-managed database services. 

∙3+ years of experience with Power BI or similar BI/reporting platforms. 

Strong customer service skills and the ability to handle difficult situations with tact and professionalism.

Meeting with active dealers, new customers conveying the right information with effective speech and personality.

Promoting our companies' packages and ideas

Providing Information and Assistance

Male or Female .

Language required - Marathi, Hindi, English

Qualification - 12th pass or any degree holder.

Office time: Day shift

Hirings are going on

Connect on below or visit to office

• Language required - Marathi, Hindi, English.

Sal - Up to 20,000 thousand for only experience candidates

Incentives - monthly up to 30,000 or On Deals ( Unlimited)

For fresher we are hiring as intern ( Sal windows are changes for intern)

Parag

JAYMAHESH AUTO MALL INDIA LIMITED

Kedar Empire, 4th Floor, Office no.15,

Erandwane, Karve Road, Pune-411038

Job Types: Full-time, Permanent, Fresher

Pay: Up to ₹20,000.00 per month

Benefits:

• Paid sick time

Schedule:

• Day shift

Supplemental pay types:

• Commission pay
• Performance bonus

Education:

• Higher Secondary(12th Pass) (Preferred)

Experience:

• total work: 1 year (Preferred)

Work Location: In person

Overview:

We are looking for Test Engineers to work on quality assurance of software applications using the Open API ecosystem for reputed Financial and Insurance companies. This candidate should be experienced in executing manual and automated testing tools and processes.

• Review requirements, specifications and design documents to provide business & customer experience feedback
• Create and maintain well-structured test plans, test cases and defects using tools like JIRA and QC
• Design, develop and execute automation scripts using opensource tools like PostMan and Rest-Assured
• Test native and responsive mobile applications

• Experience of 2 - 5 years in Functional and Automation testing
• Experience in working with automation tools like Selenium, TestNG, Automation tools - BDD (Cucumber)
• Experience working in an Agile/Scrum development process and QA methodologies
• Experience in testing of mobile native and responsive design apps
• Hands on experience on automated testing tools alike TestArchitect, MockIt and Rest-Assured
• Hands-on experience with both white box and black box testing
• Experience with performance and/or security testing will be an added advantage

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:

• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

What You’ll Do

• Actively practice and evangelize customer-centric design thinking.
• Deeply understand business goals, distill them into design problems, and come up with elegant solutions.
• Own and drive the end-to-end process for solving UI/UX design problems: ideate, conceptualize, design, test and refine.
• Use quantitative data and qualitative feedback to inform the design decisions iteratively.
• Collaborate with cross-functional teams of product managers, software engineers, customer success managers, and marketeers to design intuitive and engaging user .
• Create user scenarios, user journey workflows, wireframes, UI designs and interactive prototypes throughout software product development lifecycle.
• Deliver hi-fidelity design mockups and assets ready for software frontend development.

What We’re Looking For 

• 5+ years of hands-on UI/UX design experience in Web and mobile responsive apps.
• A strong design portfolio showcasing your problem solving skill and high design caliber.
• Fluency in contemporary design aesthetics, paradigms, and tools.
• You are creative, detail-oriented, and methodical with a passion for user-centered design.
• You are self-motivated with a go-getter attitude who can work independently and thrive in a fast-paced, result-oriented work environment.
• You are a self-aware and humble team player who is a great partner to work with for cross-functional teams.
• You are an excellent storyteller and communicator.

Nice to Have

• A bachelor’s or master’s degree in design or a certification in UI/UX design or HCI from a renowned design institute.
• Design experience in the food or e-commerce industry.
• Familiarity with accessibility in design or designing for ADA compliance.

React Native / React JS Developer

We're looking for a React Native Developer to join our growing frontend team. As a React Developer, you will help develop the next generation of our apps using tools such as React.js, Redux, Enzyme, and Webpack. You should be familiar with React and its ecosystem. 

Responsibilities

- Actively aid the consulting team in different phases of the project including problem definition, effort estimation, diagnosis, solution generation, design develop and deployment.,

- Contribute to unit-level and organizational initiatives.,

- Adherence to the organizational guidelines and processes

- Design, build and maintain efficient, reusable, and reliable codes by setting expectations and features priorities throughout the development life cycle

Requirement

- 2+ years' experience working with a Javascript framework, React Native, ReactJS, Typescript, Node JS

- In-depth understanding of Javascript, the DOM, and relevant concepts

- Must have experience in Web services, Web API, REST services, HTML, CSS3

- Proficiency with browser-based debugging and performance testing

- Identify bottlenecks and bugs, and recommend system solutions by comparing advantages and disadvantages of custom development.

- Contributing to team meetings, troubleshooting development, and production problems across multiple environments and operating platforms.

• Previous experience working as a React.js Developer.
• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model Thorough understanding of React.js and its core principles
• Familiarity with RESTful APIs
• Knowledge of performance testing frameworks including Mocha and Jest.
• Familiarity with code versioning tools (such as Git )
• Experience with browser-based debugging and performance testing software.
• Excellent troubleshooting skills.
• Good project management skills.