CrawlJobs Logo
Hewlett Packard Enterprise Logo Hewlett Packard Enterprise · IT - Software Development

Temporal Engineer

India, Bangalore · Job Posted September 30, 2025
Apply Position
Job Link Share

Job Description

HPE is seeking an experienced Temporal Engineer with 7+ years of expertise in designing, deploying, and managing workflow orchestration platforms, with strong hands-on knowledge of Temporal. The role involves enabling reliable, scalable, and fault-tolerant execution of distributed applications while integrating Temporal with microservices, CI/CD, and cloud-native ecosystems.

Job Responsibility

  • Platform Deployment & Management: Install, configure, and manage Temporal clusters (on-prem and cloud)
  • Ensure high availability, scalability, and fault tolerance of workflow orchestration
  • Manage upgrades, patches, and lifecycle of Temporal services
  • Workflow Development & Integration: Collaborate with development teams to design and implement Temporal workflows
  • Integrate Temporal with microservices, data pipelines, and DevOps platforms
  • Support multiple languages (Go, Java, Python) for workflow execution
  • Monitoring & Troubleshooting: Implement monitoring and observability using Prometheus, Grafana, ELK, OpenTelemetry
  • Troubleshoot workflow failures, latency issues, and worker scalability challenges
  • Build automation scripts and runbooks for operational efficiency
  • Security & Governance: Configure authentication, RBAC, and TLS encryption for Temporal services
  • Ensure compliance with enterprise security frameworks
  • Collaborate with cybersecurity teams for vulnerability management and Zero Trust alignment
  • Collaboration & Support: Work closely with DevOps, cloud, and application teams for seamless adoption
  • Provide guidance on workflow best practices, retries, error handling, and compensation logic
  • Offer L3 support for production workflows and DR readiness

Requirements

  • 7+ years of experience in workflow orchestration, distributed systems, or backend engineering
  • Hands-on expertise with Temporal (or Cadence), including cluster setup and workflow authoring
  • Strong understanding of microservices architectures and event-driven systems
  • Proficiency in Go, Java, or Python for writing workflows and activities
  • Experience with Kubernetes, Docker, and cloud platforms (AWS/GCP/Azure)
  • Familiarity with CI/CD pipelines and GitOps practices
  • Bachelor's or Master's degree in Computer Science, IT, or related field

Nice to have

  • Experience with data pipeline orchestration tools (Airflow, Argo Workflows, Prefect)
  • Exposure to Kafka, RabbitMQ, or other event streaming/message queue systems
  • Knowledge of performance tuning and horizontal scaling for Temporal clusters
  • Kubernetes (CKA/CKAD) or Cloud certifications (AWS, Azure, GCP)
  • Temporal community or enterprise training

What we offer

  • Health & Wellbeing: comprehensive suite of benefits supporting physical, financial and emotional wellbeing
  • Personal & Professional Development: programs to help reach career goals
  • Unconditional Inclusion: inclusive work environment celebrating individual uniqueness
  • Flexibility to manage work and personal needs
Hewlett Packard Enterprise - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Temporal Engineer

8 matching positions

OSS Engineer - temporal

The Assurance domain is part of Digital Network & OSS. The purpose is to enginee...
Location
Location
Spain , Madrid; Málaga
Salary
Salary:
Not provided
vodafone.com Logo
Vodafone
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Excellent knowledge of OSS systems, especially HPE TeMIP
  • Bachelor's degree or FP (Spain) in telecommunications field
  • At least 5 years professional experience in same or similar role
  • Good communication & teamwork skills, ideally in international environments
  • Project management skills
  • High level of english. It will be the working language
Job Responsibility
Job Responsibility
  • Deliver Fault Management solutions to effective monitor the network from our Network Operating Center
  • Increase the automation capabilities and enable zero touch operations
  • Define and deliver technical solutions that enable working cross different OSS platforms
  • Analyse the business requirements of our internal customer in NOC
  • Ensure reliable of the TeMIP system
  • Define the platform roadmap
  • Accountable for the engineering of the TeMIP FM systems and complex solutions across the European markets in line with business needs and the domain's and vertical's strategy
What we offer
What we offer
  • Hybrid work model
  • Bonus on top of the gross salary
  • Meal voucher (Ticket Restaurant), additional to gross salary
  • Flexible working hours from Monday to Thursday, and an intensive schedule on Fridays
  • Intensive Summer Schedule during July and August
  • Up to 20 days per year of 100% remote work from other locations
  • Private Health and Life Insurance for employees
  • 25 vacation days, plus December 24th and 31st off
  • Optional Pension Plan
  • Access to an online learning platform for continuous training
Read More
Arrow Right

Performance & Capacity Engineer - Planning Optimization

Meta is seeking a Performance & Capacity Engineer to join the Capacity Engineeri...
Location
Location
United States , Bellevue
Salary
Salary:
184000.00 - 257000.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years experience in any coding language and designing software systems
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 8+ years experience in capacity, performance, software, or reliability engineering
  • Experience navigating ambiguous problem spaces and ramping up on new technical and business domains to deliver results
Job Responsibility
Job Responsibility
  • Own both technical as well as business outcomes for capacity planning for all of Meta: all software products/services and plans for how to scale server and data center resources most efficiently
  • Build automated, scalable data and analytics solutions by developing advanced automation, mathematical optimization, and/or AI models
  • Use the tools you build to own the business outcomes: develop and analyze variety of business and technical scenarios to inform executive decision-making around infrastructure/product, up to the CxO level
  • Design and help build software systems to build scalable, reliable planning systems to connect business strategy with detailed technical execution including regional and temporal bin-packing, optimal service placement, traffic shifts and service migrations, efficient hardware refresh, etc
  • Partner across the engineering technical landscape to optimize at the intersection of hardware, infrastructure, and software. Work closely with software service owners, Production Engineering, Server Hardware Engineering, Server Supply Chain, Network Engineering, Data Center Design, Operations, and Planning teams to identify efficient ways to scale infrastructure and place our services
  • Effectively lead company-wide Capacity Planning business processes across technical and non technical contributors
  • Partner with Finance to balance cost efficiency with technical and product considerations
  • Greenfield work: Work cross-functionally to define problem statements, collect data, build software-driven models and make recommendations to drive change and optimization at the company level
What we offer
What we offer
  • bonus
  • equity
  • benefits
  • Fulltime
Read More
Arrow Right

Performance & Capacity Engineer - Capacity Planning Optimization (Leadership)

Meta is seeking a leader to join the Capacity Planning Optimization Engineering ...
Location
Location
United States , Menlo Park
Salary
Salary:
219000.00 - 301000.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience with planning for large-scale technical infrastructure and distributed systems
  • Demonstrated success leading large technical infrastructure planning projects and initiatives, including defining goals, managing ambiguity, and leading other engineers and non-technical contributors
  • Demonstrated success working with executive level audiences and partners
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Experience programming in Python, C++, or similar languages
  • 10+ years of experience in Engineering, Data Science, or Operations Research
Job Responsibility
Job Responsibility
  • Own infrastructure capacity planning for all of Meta: all software products/services and plans for how to scale server and data center resources most efficiently
  • Partner across the engineering technical landscape to optimize at the intersection of hardware, infrastructure, and software. Work closely with software service owners, Production Engineering, Server Hardware Engineering, Server Supply Chain, Network Engineering, Data Center Design, Operations, and Planning teams to find optimal ways to scale our infrastructure and place our services
  • Design and contribute to analytical models to connect business strategy with detailed technical execution including regional and temporal bin-packing, optimal service placement, traffic shifts and service migrations, efficient hardware refresh, etc
  • Effectively lead company-wide Capacity Planning business processes across technical and non technical contributors while delivering the most complex parts yourself
  • Partner with Finance and business teams to balance cost efficiency with technical and product considerations
  • Work cross-functionally to define problem statements, collect data, build software driven models and make recommendations to drive change and optimization at the company level
What we offer
What we offer
  • bonus
  • equity
  • benefits
  • Fulltime
Read More
Arrow Right

Lead .NET Engineer

Our customer is a global leader in digital agreement and e-signature solutions, ...
Location
Location
Salary
Salary:
Not provided
n-ix.com Logo
N-iX
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of software engineering experience in high scale distributed systems
  • 8+ years of experience building resilient and highly available web services
  • Extensive experience developing backend services and APIs in C#/.NET
  • Experience with Azure services including App Services, AKS, Blob Storage, SQL/NoSQL Databases
  • Experience with microservices architecture and distributed systems
  • Hands-on experience with the Temporal .NET SDK or other workflow orchestration/tools (e.g., Durable Functions, Step Functions, Apache Airflow)
  • Strong understanding of designing and building scalable, secure, and reliable cloud-native applications
  • Experience with designing and implementing RESTful or gRPC APIs
  • Knowledge of data storage best practices, including security, availability, and compliance
  • Experience documenting architectural standards and decisions
Job Responsibility
Job Responsibility
  • Design, develop, and maintain high-performance backend systems and APIs using C# and .NET technologies, hosted in azure and various compliance level data-centers
  • Leverage Azure services like Azure App Services, Azure Kubernetes Service (AKS), Azure Blob Storage, and SQL/No-SQL Databases to build scalable, secure, and reliable cloud-native solutions
  • Build and maintain microservices-based architectures using C#, ASP.NET, and others
  • Design and implement RESTful or gRPC APIs, ensure seamless integration with other systems and products
  • Optimize architecture and solution for scalability and availability with cost and maintenance in mind
  • Identify and address performance bottlenecks and scalability challenges proactively
  • Align across teams for designs, communicate and resolve roadblocks
  • Guide and mentor other engineers through design and code reviews
What we offer
What we offer
  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits
Read More
Arrow Right

Applied Scientist

We are seeking an Applied Scientist to help build Amazon's next-generation custo...
Location
Location
Israel , Haifa
Salary
Salary:
Not provided
Amazon
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Knowledge of programming languages such as C/C++, Python, Java or Perl
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals
  • PhD, or a Master's degree and experience in CS, CE, ML or related field research
  • Strong communication and collaboration skills
Job Responsibility
Job Responsibility
  • Design and build ML and LLM-powered solutions for Amazon's customer memory and personalization systems
  • Work on how customer knowledge is extracted, validated, and applied in production systems
  • Own the end-to-end delivery of ML solutions, from problem formulation and modeling to offline and online experimentation, and production deployment at scale
  • Drive work across areas such as fact extraction, memory quality and lifecycle, temporal reasoning, and grounded personalization, while navigating tradeoffs between quality, latency, and coverage
  • Collaborate closely with engineering and product teams to translate research into measurable customer impact
  • Fulltime
Read More
Arrow Right

Data Engineer Senior Consultant

The Data Engineer will play a crucial role in migrating data from on-prem DataLa...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or Master's degree in Computer Science, Applied Mathematics, Engineering, or a related quantitative field
  • Minimum of 3-5 years of professional hands-on-keyboard coding experience in a collaborative, team-based environment
  • Ability to troubleshoot (SQL) and basic scripting experience
  • Professional proficiency in Python or Java
  • Deep familiarity with the full Software Development Life Cycle (SDLC) and CI/CD best practices & K8s deployment experience
  • Temporal Data Modeling: Managing state changes over time (e.g., SCD Type 2)
  • Schema Management: Expertise in Schema Evolution (Ref: Iceberg Apache) and enforcement strategies
  • Performance Optimization: Advanced knowledge of data partitioning and clustering
  • Architectural Theory: Balancing Normalization vs. Denormalization and the strategic use of Natural vs. Surrogate Keys
Job Responsibility
Job Responsibility
  • Perform end-to-end datastore migration from on-prem DataLake to AWS hosted LakeHouse
  • Pipeline Migration: Refactoring and migrating extraction logic and job scheduling from legacy frameworks to the new Lakehouse environment
  • Data Transfer: Executing the physical migration of underlying datasets while ensuring data integrity
  • Stakeholder Engagement: Acting as a technical liaison to internal clients, facilitating handoff and sign-off conversations with data owners to ensure migrated assets meet business requirements
  • Consumption Pattern Migration: Code Conversion - Translating and optimizing legacy SQL and Spark-based consumption patterns (raw and modeled) for compatibility with Snowflake and Iceberg
  • Usage analysis: Understand usage patterns to deliver the required data products
  • Data Reconciliation & Quality: Work with reconciliation frameworks to build confidence that migrated data is functionally equivalent to that already used within production flows
  • Work with other internal data management platform and have an aptitude for learning new workflows and language constructs as necessary
  • Fulltime
Read More
Arrow Right

Machine Learning & AI Developer

We are seeking a Machine Learning & AI Developer to design, build, and deploy da...
Location
Location
Czech Republic , Prague
Salary
Salary:
Not provided
sportvision.cz Logo
Sport Vision Czechia s.r.o.
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven experience (industry or advanced academic) in machine learning and/or applied AI, ideally on structured, time series, or geospatial data
  • Strong Python skills with common ML/AI and data science libraries (e.g., NumPy, pandas, scikit‑learn, PyTorch and/or TensorFlow)
  • Hands‑on experience with deep learning architectures (e.g., CNNs)
  • exposure to image‑like or gridded data architectures (e.g., U‑Net) is a plus
  • Solid understanding of ML fundamentals (training, validation, overfitting, metrics, hyperparameter tuning)
  • Experience with large, complex datasets, including data cleaning, feature engineering, and efficient processing
  • Secondary education or professional training with a school-leaving exam
  • English (Proficient)
Job Responsibility
Job Responsibility
  • Develop and implement ML/AI solutions to improve catastrophe models, focusing on flood hazard and risk
  • Build global flood risk quality classification models using geospatial, hydrological, and exposure datasets
  • Contribute to the design, development, and maintenance of the Impact Forecasting Knowledge Hub (AI chatbot), including data pipelines, model selection, and monitoring
  • Research and implement precipitation downscaling methods (e.g., CNNs, U‑Nets, diffusion, generative models) to improve spatial and temporal resolution of inputs
  • Design, run, and document proof‑of‑concept (PoC) studies, from problem framing to evaluation and recommendations
What we offer
What we offer
  • Cell phone
  • Flexible start/end of working hours
  • Notebook
  • Occasional work from home
  • Refreshments on workplace
  • Sick days
  • pension scheme contributions
  • in-office massages
  • language courses
  • ergonomic tables
  • Fulltime
Read More
Arrow Right

Principal Machine Learning Scientist

As a Principal Machine Learning Scientist, you will be the technical anchor for ...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
tripadvisor.com Logo
Tripadvisor
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Ph.D. or Master's degree in Computer Science, Machine Learning, Statistics, or a highly quantitative field
  • 8+ years of industry experience developing and deploying large-scale ML models in a production environment, with a proven track record of shipping systems at the scale of millions of active users
  • Deep theoretical and practical knowledge in the following areas: SOTA Retrieval & Ranking: Practical experience with Multi-Task Learning (MTL), Multi-gate Mixture-of-Experts (MMoE), or similar architectures optimized for multi-objective optimization
  • Sequential & Temporal Modeling: Hands-on experience building sequential recommendation systems that capture real-time user session dynamics and long-term historical preferences
  • Advanced Representation Learning: Deep understanding of embedding generation, deep semantic retrieval, and multi-modal representation learning
  • Technical Stack: Mastery of Python and deep learning frameworks (TensorFlow, PyTorch) alongside hands-on experience with distributed computing (Spark, Ray) and cloud infrastructure (AWS/GCP)
Job Responsibility
Job Responsibility
  • Drive the technical roadmap for Search, Retrieval, Ranking, and Recommendation systems within the Trips vertical
  • Translate high-level business goals into concrete ML architectures and scalable production systems
  • Design, prototype, and scale next-generation recommendation and ranking models
  • Solve complex, non-linear travel journeys by utilizing sequential recommenders, representation learning, and deep multi-objective frameworks
  • Oversee the deployment of low-latency, high-throughput retrieval and ranking pipelines (e.g., multi-stage retrieval, vector search) capable of processing billions of travel data points (reviews, photos, bookings, user intent) in real-time
  • Partner closely with Product Managers, Engineering Leads, and Data Science peers to optimize multi-task business objectives simultaneously
  • Act as the primary technical authority for ML initiatives within the Trips vertical
  • Mentor and coach senior and mid-level ML scientists
  • Foster a culture of technical excellence, driving best practices for MLOps, rigorous A/B testing, data privacy, and code quality
What we offer
What we offer
  • Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses
  • 'Work your way' with flexibility to suit your lifestyle. Tripadvisor Group takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you’d like or as required by your team
  • Flexible schedule
  • Donation matching
  • Tuition assistance
  • Lifestyle benefit
  • Travel perks
  • Employee assistance program
  • Health benefits
  • Generous referral scheme
  • Fulltime
Read More
Arrow Right