11+ Production engineering Jobs in Bangalore (Bengaluru) | Production engineering Job openings in Bangalore (Bengaluru)

We are looking for an experienced Sr. Software Engineer to drive the design, architecture, and delivery of scalable B2B products from our Bangalore office. This role requires a strong hands-on technologist who can lead a team of engineers, make sound architectural decisions, and collaborate cross-functionally with Product, Design, DevOps, and Customer Success teams.

As a Sr. Software Engineer, you will play a critical role in shaping the technical direction of our platform, ensuring high-quality engineering practices, and delivering enterprise-grade solutions to our customers. This job can quickly grow into a Technical Lead position.

**Key Responsibilities**

🔹 Technical Leadership

Own end-to-end technical architecture and system design for core product modules.

Drive scalable, secure, and high-performance backend and frontend solutions.

Conduct design reviews, code reviews, and ensure adherence to engineering best practices.

Evaluate and introduce new technologies where appropriate.

🔹 Team Management

Lead, mentor, and grow a team of 5–6 engineers.

Foster a culture of ownership, accountability, and innovation.

Support hiring, onboarding, and mentoring.

🔹 Product Delivery

Collaborate closely with mangement to translate business requirements into technical solutions.

Drive sprint planning, estimations, and delivery timelines.

Ensure predictable, high-quality releases aligned with business goals.

🔹 Quality & DevOps

Champion CI/CD practices, automated testing, and DevOps processes.

Ensure system reliability, uptime, security, and performance monitoring.

Participate in incident management and root cause analysis.

🔹 Stakeholder Collaboration

Work cross-functionally with Sales, Customer Success, and Support teams for enterprise deployments.

Communicate technical decisions clearly to non-technical stakeholders.

**Required Qualifications**

4+ years of software development experience in product-based companies.

Strong experience with modern backend technologies (e.g., Java, Node.js, Python, or similar technologies).

Experience with frontend frameworks (React, Angular, or similar).

Solid understanding of microservices architecture and RESTful APIs.

Experience with cloud platforms (AWS, Azure, or GCP).

Strong knowledge of databases (SQL and NoSQL).

Experience building scalable B2B SaaS products.

**Preferred Qualifications**

Experience with multi-tenant SaaS architecture.

Familiarity with enterprise integrations (SSO, APIs, third-party systems).

Experience handling high-scale systems with large enterprise clients.

Exposure to security and compliance standards (ISO, SOC2, GDPR).

**Key Competencies**

Strong problem-solving and system design skills.

Excellent communication and stakeholder management skills.

Ability to balance hands-on coding with leadership responsibilities.

Strong ownership mindset with attention to detail.

Ability to thrive in a fast-paced, product-driven environment.

**What We Offer**

Competitive compensation and performance bonuses.

Opportunity to work on cutting-edge B2B products.

Collaborative and growth-oriented culture.

Health insurance and wellness benefits.

If you are passionate about building scalable B2B platforms and leading high-performing engineering teams, we would love to hear from you.

A Day in the Life:

• Collaborate with developers and product managers to understand feature requirements.
• Review feature specifications and design detailed test cases.
• Perform manual tests on payment gateway systems, including transaction flows and API validations.
• Identify, log, and track defects using tools like JIRA and prioritize them for resolution.
• Conduct regression testing to ensure system stability after updates.
• Participate in team discussions to troubleshoot and resolve issues.
• Document test results and prepare for upcoming sprint activities.

Key Qualifications and Skills:

• 5 - 7 years of QA experience, with at least 3 years in payment gateways, fintech, or banking systems.
• Strong knowledge of payment processing.
• Experience with REST/SOAP APIs, webhooks, and encryption (TLS, AES, RSA). Familiarity with PCI-DSS, PSD2, GDPR, and AML/KYC processes.
• Proficiency in SQL for database validation (transaction logs, ledger entries).
• Hands-on experience with JMeter, Postman, Selenium, or similar tools.
• Knowledge of blockchain-based payouts (optional but a plus).

Key Responsibilities:

1. Test Planning & Strategy: Develop and execute test plans, test cases, and test scripts for payment processing, refunds, chargebacks, settlements, and fraud detection. Ensure compliance with PCI-DSS, PSD2, and other financial regulations.
2. Functional & Integration Testing: Validate API integrations with banks, PSPs (Payment Service Providers) and third-party vendors. Test transaction flows (success, failure, retries, timeouts) and edge cases.
3. Security & Compliance Testing: Perform penetration testing, vulnerability scanning, and data encryption checks. Ensure PCI compliance and adherence to EMV, 3D Secure (3DS2), and SCA (Strong Customer Authentication).
4. Performance & Load Testing: Conduct stress testing to evaluate system behaviour under high transaction volumes (TPS - Transactions Per Second). Identify bottlenecks in authorization, settlement, and reconciliation processes.
5. Automation & Tools: Develop and maintain automated test scripts (using tools like Postman, Selenium, JMeter, or Karate). Work with CI/CD pipelines for regression testing.
6. Defect Management: Log, track, and prioritize bugs using JIRA, Bugzilla, or similar tools. Collaborate with developers, product managers, and compliance teams for issue resolution.
7. Documentation & Reporting: Maintain test documentation, including test cases, test data, and audit logs. Provide QA metrics and test summary reports to stakeholders.

Job description for Production Engineer

Production Engineer manages shifts, production supervisors and all operators &

ensures smooth running of the production process, organising & monitoring work-

flow.

Roles & Responsibilities:

 Completes production plan by scheduling and assigning personnel;

accomplishing work results; establishing priorities; monitoring progress;

revising schedules; resolving problems; reporting results of the shift

production summaries;

 Supervising the manufacturing processes, ensuring quality work is done in a

safe, efficient manner;

 Diagnosing problems in the production line and providing solutions;

 Ensures that all products are produced as per Customer's specifications;

 Ensures targets and deadlines are met as per Work Orders;

 Attending to minor breakdowns of machines;

 To maintain all Company machines/equipment so as to obtain optimal

performance; evaluate new equipment and techniques;

 Ensures all operators & contract staffs comply with health & safety

procedures;

 Manage, develop, and motivate direct reporting employees;

 Monitor, measure, and report on production-related process performance, and

general issues; update daily production reports;

 Use Problem-solving and troubleshooting skills to ensure that all employees

can identify root causes and take fast corrective and preventive action to

resolve the problems at hand;

 Keeping abreast of advancements in engineering and production, and sharing

knowledge with co-workers.

 Identifying, documenting, and reporting unsafe practices.

 To work closely with other production supervisors to ensure production

handovers are smooth & effective;

 To provide on-the-job training for improving production efficiency & quality;

 Maintain 5S standards to ensure a clean & safe workplace;

 Coordinates with PPC, Engineering, Sales & Marketing, Purchase, Stores,

Logistics, Accounts;

 Maintain records/reports as per ISO & IATF requirements;

 Work non-traditional hours on weekends and holidays during exigencies;

 Any other task assigned by management;

 Reporting to AGM-Operations

Key Result Areas/KRAs (annual evaluation across entire Company) for

Production Supervisors:

 To take full responsibility of the shift in terms of management of operators,

contract employees, production supervisors and achieving production targets;

 To take full responsibility for the quality and product that is produced within

the shift in line with the quality systems, processes, and procedures;

 To have an active role in the continuous improvement plan.

Key Performance Indicators/KPIs (monthly evaluation) for Production

Engineer:

1. On-time Delivery of WOs = % (Target: 98%)

2. Worst Point Photography (WPP)

3. Fixed Point Photography (FPP)

4. Labour Productivity = Units Produced/Man-hours used = ……Units per man-

hour

5. Production Charts

1. Big data developer with 8+ years of professional IT experience with expertise in Hadoop ecosystem components in ingestion, Data modeling, querying, processing, storage, analysis, Data Integration and Implementing enterprise level systems spanning Big Data.
2. A skilled developer with strong problem solving, debugging and analytical capabilities, who actively engages in understanding customer requirements.
3. Expertise in Apache Hadoop ecosystem components like Spark, Hadoop Distributed File Systems(HDFS), HiveMapReduce, Hive, Sqoop, HBase, Zookeeper, YARN, Flume, Pig, Nifi, Scala and Oozie.
4. Hands on experience in creating real - time data streaming solutions using Apache Spark core, Spark SQL & DataFrames, Kafka, Spark streaming and Apache Storm.
5. Excellent knowledge of Hadoop architecture and daemons of Hadoop clusters, which include Name node,Data node, Resource manager, Node Manager and Job history server.
6. Worked on both Cloudera and Horton works in Hadoop Distributions. Experience in managing Hadoop clustersusing Cloudera Manager tool.
7. Well versed in installation, Configuration, Managing of Big Data and underlying infrastructure of Hadoop Cluster.
8. Hands on experience in coding MapReduce/Yarn Programs using Java, Scala and Python for analyzing Big Data.
9. Exposure to Cloudera development environment and management using Cloudera Manager.
10. Extensively worked on Spark using Scala on cluster for computational (analytics), installed it on top of Hadoop performed advanced analytical application by making use of Spark with Hive and SQL/Oracle .
11. Implemented Spark using PYTHON and utilizing Data frames and Spark SQL API for faster processing of data and handled importing data from different data sources into HDFS using Sqoop and performing transformations using Hive, MapReduce and then loading data into HDFS.
12. Used Spark Data Frames API over Cloudera platform to perform analytics on Hive data.
13. Hands on experience in MLlib from Spark which are used for predictive intelligence, customer segmentation and for smooth maintenance in Spark streaming.
14. Experience in using Flume to load log files into HDFS and Oozie for workflow design and scheduling.
15. Experience in optimizing MapReduce jobs to use HDFS efficiently by using various compression mechanisms.
16. Working on creating data pipeline for different events of ingestion, aggregation, and load consumer response data into Hive external tables in HDFS location to serve as feed for tableau dashboards.
17. Hands on experience in using Sqoop to import data into HDFS from RDBMS and vice-versa.
18. In-depth Understanding of Oozie to schedule all Hive/Sqoop/HBase jobs.
19. Hands on expertise in real time analytics with Apache Spark.
20. Experience in converting Hive/SQL queries into RDD transformations using Apache Spark, Scala and Python.
21. Extensive experience in working with different ETL tool environments like SSIS, Informatica and reporting tool environments like SQL Server Reporting Services (SSRS).
22. Experience in Microsoft cloud and setting cluster in Amazon EC2 & S3 including the automation of setting & extending the clusters in AWS Amazon cloud.
23. Extensively worked on Spark using Python on cluster for computational (analytics), installed it on top of Hadoop performed advanced analytical application by making use of Spark with Hive and SQL.
24. Strong experience and knowledge of real time data analytics using Spark Streaming, Kafka and Flume.
25. Knowledge in installation, configuration, supporting and managing Hadoop Clusters using Apache, Cloudera (CDH3, CDH4) distributions and on Amazon web services (AWS).
26. Experienced in writing Ad Hoc queries using Cloudera Impala, also used Impala analytical functions.
27. Experience in creating Data frames using PySpark and performing operation on the Data frames using Python.
28. In depth understanding/knowledge of Hadoop Architecture and various components such as HDFS and MapReduce Programming Paradigm, High Availability and YARN architecture.
29. Establishing multiple connections to different Redshift clusters (Bank Prod, Card Prod, SBBDA Cluster) and provide the access for pulling the information we need for analysis. 
30. Generated various kinds of knowledge reports using Power BI based on Business specification. 
31. Developed interactive Tableau dashboards to provide a clear understanding of industry specific KPIs using quick filters and parameters to handle them more efficiently.
32. Well Experience in projects using JIRA, Testing, Maven and Jenkins build tools.
33. Experienced in designing, built, and deploying and utilizing almost all the AWS stack (Including EC2, S3,), focusing on high-availability, fault tolerance, and auto-scaling.
34. Good experience with use-case development, with Software methodologies like Agile and Waterfall.
35. Working knowledge of Amazon's Elastic Cloud Compute( EC2 ) infrastructure for computational tasks and Simple Storage Service ( S3 ) as Storage mechanism.
36. Good working experience in importing data using Sqoop, SFTP from various sources like RDMS, Teradata, Mainframes, Oracle, Netezza to HDFS and performed transformations on it using Hive, Pig and Spark .
37. Extensive experience in Text Analytics, developing different Statistical Machine Learning solutions to various business problems and generating data visualizations using Python and R.
38. Proficient in NoSQL databases including HBase, Cassandra, MongoDB and its integration with Hadoop cluster.
39. Hands on experience in Hadoop Big data technology working on MapReduce, Pig, Hive as Analysis tool, Sqoop and Flume data import/export tools.

Job Description:

• Strong working experience in IOS application development is a must. First-hand experience of native mobile apps using Swift must.
• Experience with Swift, RxSwift, Swift UI, and Unit tests.
• Strong system design and architecture skills - specifically for IOS. Curiosity to tinker around, explore new paradigms and strongest for continuous improvement. Strong problem-solving skills.
• Understanding of network connections, Rest API'sand scheduling. Strong knowledge of security standards (e.g. HTTPS) and privacy standards.
• Idea/experience of the unit and instrumentation testing in IOS. Optimizing app performance and memory consumption.
• Leveraging community libraries to efficiently complete development tasks.
• Debugging apps using simulators and related tooling.
• Persisting data for offline-first apps using databases such as Realm.
• Localizing apps to support multiple languages and regions, vernacular libraries and fonts.
• Familiar with Version control systems such as GIT.

Software Development Manager

What You Will Need:

Roles and Responsibilities

Serve as an integrator between business needs and technology solutions, helping to create technology solutions to meet clients business needs. 

Defining systems strategy, developing system requirements, designing and prototyping, testing, training, defining support procedures and implementation. 

Perform accurate analysis and effective diagnosis of client issues and manage day-to-day client relationships at peer client levels. 

Desired Candidate Profile

• 1+ years of relevant technology consulting or industry experience 
•  Strong working knowledge of AEM/Digital Marketing Suite 
•  Java, J2EE strong knowledge in Web-centric applications 
• Experience with full lifecycle of application from requirement gathering to deployment.
• Make changes to AEM site content, assets, and workflow
• Designs and builds components, templates, dialogs, and workflows using the AEM architecture (Sling, CRX, OSGI, JCR)
• Diagnoses and solves technical problems related to content management such as search result accuracy, dynamic content linking, formatting, image scaling, internationalization, and personalization
• Works in an agile, rapid development and prototyping environment
• Strong Java programming foundation and experience with OSGi bundles
• Knowledge on workflows ,Sling servlet, REST, JSON, Lucene indexing.
• Exposure to Coral / Granite UI, Adobe UI customization is a must
• Working Experience with Sightly / Sling models.
• Willingness to travel offshore and onshore 
• Strong knack and willingness for adapting latest and greatest technologies to drive performance.
• Exceptionally good at document and explaining core technical processes.

Perks and Benefits

• A Silver Adobe Solution partner, AEM Specialized and Magento partner
• Get to work with a young and dynamic team.
• Get to experience Agile methodology for real.
• Flexi timings.
• Exposure to one of the most exclusive technology of the hour AEM, Magento
• A team that will support you when you want to take an initiative in the favour of the organization.