Total 8 Others level Engineering job vacancies in Bangalore

Design and development of hydraulic products – Electro-Hydraulic and Proportional Mobile control valves (Sectional,monoblock and HIC) and Joystick for Mobile hydraulics applicationsGood understanding of fluid mechanics and Hydraulic Schematic and circuit designGood understanding of various control system and selection to the requirements & applicationsGood understanding of Design of Pressure compensator and and Spool design for Load Sensing and flow sharing Control valvesConfiguration of the Control Valve for the requirements & applicationsWorking knowledge in Ratio Projects: Cost reduction, weight reduction analysis and implementationGood knowledge inProblem solving methods and solutioning.Design and manufacturing of castings, forgings and machining process for hydraulic productsGD&T, tolerance Stack up Application in HydraulicsAbility to independently deliver CAD models, manufacturing drawings according to ASME/ISO-GPS standardsGood communication and interpersonal skillsMobile Hydraulics domain knowledge is must.Added advantage: -Knowledge of injection molding parts and connector selectionTools & Methods required:Creo, Windchill PDM, SAP and AutoCADFMEA ,Root Cause Alaysis (RCA)

Key Responsibilities:

• Develop high-quality, scalable Python-based solutions that align with Veolias business objectives and technical requirements
• Collaborate with business partners, stakeholders, and cross-functional teams to define and refine project requirements
• Adopt and implement platform architecture, security standards, and Software Development Life Cycle (SDLC) processes
• Ensure code quality, security, and performance through rigorous testing, including unit testing, integration testing, and automated testing frameworks
• Mentor and provide guidance to junior engineers, fostering their professional growth and technical skills
• Stay current with industry trends, emerging technologies, and best practices in Python development and software engineering
• Take full ownership of projects from conception through delivery, ensuring timely completion and quality outcomes
• Monitor all infrastructure and application alerts.
• Provide application support, including minor fixes, data issues, and configuration issues.
• Perform basic troubleshooting support.
• Perform regular health checks of the applications.
• Identify and run SOPs from the knowledge base to resolve issues.
• Create SOPs for any new issues identified.
• Post in respective Teams channels for any critical issues.
• Provide weekend on-call support for critical incidents, outages, and severe system performance degradation.

Required Skills:

• Strong Python development skills with experience in at least one major framework (e.g., Django, Flask, FastAPI).
• Proven experience with the AWS cloud platform and its core services, such as EC2, Lambda, SQS, RDS, and S3, cloud formation.
• Hands-on experience with testing (unit/integration), relational databases/SQL
• Strong troubleshooting and production support skills, including monitoring, incident response, and clear communication.

Preferred Skills:

• Experience with cloud platforms (Azure or GCP) and CI/CD pipelines.
• Familiarity with Docker/Kubernetes and modern DevOps practices.
• Background in enterprise production support, including critical incident management and SOP/runbook creation.
• Experience with performance optimization, message queues/streaming, and/or ITIL- based processes.

• Security Test Engineer with good knowledge of ISO 21434 (Automotive Cybersecurity) and Autosar Security Concept.
• Responsible to validate and ensure the robustness of security mechanisms in Gateway (GW) automotive products to protect it against unauthorized access and cyber threats.
• The Role focuses on secure diagnostics and secure flashing ensuring Flash Data Security, Secure Boot validation, HSM, VKMS functionality, and cryptographic key management & encryption basics while verifying secure communication protocols.
• Must have Hands-on expertise in Vector CANoe, VTstudio, Vector HIL, CAPL Programming
• Knowledge of debugging and log analysis tools  

Design and Development activities (Platform & Customer projects for PS-TC).Acquisition support activitiesCreate and maintain 3D models, detailed manufacturing drawings, Offer drawings and technical specifications.Design and development of fixtures and adapters for testing and validation.Identify and resolve design challenges, applying innovative engineering principle and best practices.Conduct detailed engineering analysis, including stress analysis, thermal analysis, and tolerance studies.Evaluate materials, manufacturing processes, and cost considerations to optimize designs.Prepare technical documentation, including reports and presentations.Collaborate with cross-functional teams, including engineers, manufacturing teams, and project managers, to ensure design feasibility and alignment with project goals

Design and Development activities (Platform & Customer projects for PS-TC).Acquisition support activitiesCreate and maintain 3D models, detailed manufacturing drawings, Offer drawings and technical specifications.Design and development of fixtures and adapters for testing and validation.Identify and resolve design challenges, applying innovative engineering principle and best practices.Conduct detailed engineering analysis, including stress analysis, thermal analysis, and tolerance studies.Evaluate materials, manufacturing processes, and cost considerations to optimize designs.Prepare technical documentation, including reports and presentations.Collaborate with cross-functional teams, including engineers, manufacturing teams, and project managers, to ensure design feasibility and alignment with project goals

Detailed ResponsibilitiesExecute circuit design activities for power electronics hardware used in EV traction inverter systems.Study input requirements, applicable specifications, and design constraints for assigned tasks.Perform component selection and support RFQ generation for approved design concepts.Conduct engineering calculations including worst-case analysis, power loss estimation, and efficiency calculation.Support design optimization for electrical performance, thermal behavior, manufacturability, and cost.Coordinate technically with application engineers and other interfacing teams during design and validation activities.Prepare unit test specifications, review test conditions, and establish required test setups.Carry out unit testing and high-voltage testing of the developed hardware.Investigate hardware failures and support root cause analysis and corrective action definition.Document test outcomes and prepare reports for internal and customer reviews.Create and update OPLs arising from review discussions and support closure tracking.Develop required test jigs and fixtures for execution of validation activities.Support commissioning and initial bring-up of hardware during prototype evaluation.

As a Founding Engineer at RedOptima's Bangalore hub, you will step into a highly dynamic, entrepreneurial role where you must be ready to wear many hats and adapt to the evolving needs of the business. From architecting robust data pipelines and deploying advanced machine learning models to troubleshooting unforeseen system issues, you will navigate ambiguity to tackle whatever challenges arise.

We are looking for a true builder and a strategic problem solver to take on this challenge. You should have a deep foundation in both software architecture and applied machine learning, thriving in innovative and high-autonomy environments where you make critical technical decisions. You are as comfortable discussing statistical probability models as you are architecting scalable Python applications. 

RedOptima takes data from diverse data sources, transforming unstructured data into structured formats through physical analysis, statistical analysis, and ML modeling. This structured data is then used in further modelling and analytics. This creates a layer architecture that must be designed so that risk factors can be explained back to the underlying data.

In this highly impactful role, your core mission is to design, build, and maintain the systems that power our market-leading collision risk analytics. Operating at the intersection of architecture and data science, you will own the entire lifecycle of our ML solutions from early prototypes to production deployments. You will maximize the insight extracted from massive geospatial datasets and proactively mitigate technical risks as we scale, ultimately building mission-critical infrastructure that directly influences global road safety.

Your team:
You will be the cornerstone in a small but highly dedicated team of engineers. As a Founding Engineer, you will not only build systems but also help define our engineering culture, providing technical mentorship to developers and partnering with stakeholders to steer the product roadmap.

You will coordinate with a global team mostly based in London. Co-located at RedOptima Bangalore Hub is BlueOptima, our sister company, which we use to provide support and chances to upskill on technologies. This ensures we have support and a wider team. 

Responsibilities include:
Engineering & Architecture:

• Own the entire lifecycle of engineering and machine learning solutions, from prototype to deployment, either on native Kubernetes or AWS.
• Architect, build, and maintain highly optimized, robust, and scalable systems.
• Design systems and processes to ensure that the highest data quality is met by our production solution. 
• Proactively identify future technical risks, creating clear plans to navigate these.

Data Science & Machine Learning:

• Discover novel opportunities to extract actionable insights and automate workflows using diverse data sources.
• Champion a data-driven approach to validate assumptions, track progress, and performance metrics on implemented changes.
• Apply deep expertise in statistics and ML to validate and extract insights from the raw data before transforming it into actionable metrics.

Product & Technical Leadership:

• Provide hands-on leadership to developers, instilling best practices in system design, code quality, and solution ownership.
• Act as the technical bridge, effectively translating complex ML and engineering concepts to clients, client-facing teams, and non-experts.
• Drive product strategy, acting as the filter for new ideas and analyzing client problems to determine their value.
• Embrace the dynamic nature of a fast-evolving, agile business by wearing multiple hats, demonstrating flexibility, and stepping in to tackle unforeseen engineering challenges as the business evolves.
   

Job Description: Lead Data EngineerRole OverviewWe are looking for a Lead Data Engineer to design, build, and scale our data automation and ingestion capabilities. This role will play a critical part in shaping how data is collected, processed, and operationalized across the organization.You will lead the development of scalable, reusable data collection and processing systems using Python-based pipelines, APIs, and workflow-driven automation primarily focussing on data automation, pipeline reliability, and production-grade model execution.This is a hands-on role for an experienced data engineer who enjoys building robust systems, improving standards, and partnering closely with analytics, backend, UI, and data operations teams.Key ResponsibilitiesData Ingestion & AutomationDesign and develop scalable, reusable data ingestion systems using Python, APIs, web scraping, and file-based ingestion.Build and maintain data collection methods for diverse data types and sources, including APIs, Excel, flat files, HTML etc.Ensure ingestion pipelines are automated, fault-tolerant, and self-healing, minimizing manual intervention.Pipeline Integration & ExecutionIntegrate ingestion pipelines with enterprise data storage and processing layers.Leverage Decisions (workflow automation software) and internal workflow services to orchestrate and execute data transformation and manipulation workflows.Partner with internal platform and workflow teams to ensure pipelines run consistently at scale.Data Quality, Governance & StandardsDefine and enforce data quality checks, validation rules, and reconciliation logic across pipelines.Ensure strong data governance and cross-system alignment, working closely with backend, analytics, and UI teams.Establish and promote development standards, including Script and module structure, Logging, error handling, Unit testing and validation frameworksReduce technical risk and future rework through consistent engineering practices.Model Operationalization & Data Ops EnablementWork closely with Data Ops and Analytics teams to help transition Python-based models from: Analyst-led prototypesTo production-ready, scalable, and reliable operational modelsEnsure models can be executed efficiently within workflow-driven environments (e.g., Decisions), with proper dependency management, performance optimization, and monitoring.Enable end-to-end execution of data pipelines and models, supporting growing data volumes and increased execution frequency.Provide Technical leadership, Guiding design decisions, reviewing code and architectureRequired Skills & ExperienceSenior-level data engineer (typically 10+ years), with strong hands-on experience and the ability to lead and shape systems rather than just implement tasks.Strong hands-on experience with Python in production data engineering environments.Proven experience building data ingestion pipelines, ETL/ELT-style processes, and automation frameworks using code (not GUI-based tools).Strong knowledge of data manipulation and scraping libraries, including Pandas, NumPy, Requests, BeautifulSoup and Selenium (or similar browser automation tools)Experience working with APIs, authentication mechanisms, and structured/unstructured data formats.Solid understanding of data quality, validation, and governance practices.Experience designing pipelines that are Scalable, Reliable, Idempotent, Easy to monitor and debugFamiliarity with workflow-based execution and orchestration concepts.Strong ability to collaborate across teamsAbility to translate analytical needs into robust, production-grade data solutions.