Senior Site Reliability Engineer (Resilience)

a438f945-411 Senior Site Reliability Engineer (Resilience) - Platform Resilience We're seeking a Senior Site Reliability Engineer (SRE) to join our Platform Engineering department. As an SRE, you will lead technical initiatives to automate system engineering efforts, ensuring the reliability of our global infrastructure. You will grow our global Platform infrastructure to meet increasing scaling demands by developing and maintaining software, tooling, and automations.

Responsibilities:

Develop and maintain software, tooling, and automations to ensure the reliability and scalability of our global infrastructure.

Lead technical initiatives to automate system engineering efforts, ensuring the reliability of our global infrastructure.

Collaborate with engineers to identify, implement, and deliver solutions that meet the needs of our customers.

Champion an environment focused on collaboration, operational excellence, and uplifting others.

Respond to and prevent repeated customer impact in response to major incidents and prioritized problem management.

Requirements:

Success and lessons of experiences from striving for 'progress not perfection' in the name of Platform reliability.

Background in software engineering to collaborate with engineers to expertly identify, implement, and deliver solutions.

Experience in public cloud and managed Kubernetes services is advantageous.

Passion for developing solutions that involve inclusive communication methods to grow and strengthen partner and team relationships.

Preferred Qualifications:

Operated a SaaS product in a public cloud ideally built using Infrastructure-as-Code tooling such as Crossplane or Terraform.

Built or operated a Kubernetes-at-scale infrastructure, ideally across multiple cloud providers, and the vital automation to support it.

Written non-trivial programs in Golang or other programming languages.

Worked with containerized services (such as Docker).

Proven experience in leading and improving alerting and major incident management standard processes metrics systems (e.g. Elastic Stack, Graphite, Prometheus, Influx) to diagnose issues and quantify impacts to present to others at varying levels of the organization.

Experienced in system administration with professional skills in Linux on distributed systems at scale.

Diagnosed or designed, implemented, and created solutions with the Elastic Stack.

Thrived in a self-organizing and sharing in a globally distributed team environment.

Strengthened team members in bringing out the best of each other by uplifting others with coaching and mentoring.

Compensation:

This role is eligible to participate in Elastic's stock program.

Total rewards package includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.

Typical starting salary range for this role is $154,800-$195,600 USD.

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]]> full-time senior remote $154,800-$195,600 USD Software engineering, Public cloud, Managed Kubernetes services, Infrastructure-as-Code tooling, Containerized services, System administration, Linux on distributed systems, Golang, Crossplane, Terraform, Docker, Elastic Stack, Graphite, Prometheus, Influx Engineering Technology Elastic https://logos.yubhub.co/elastic.co.png Elastic develops a search and analytics platform used by over 50% of the Fortune 500 companies. https://www.elastic.co/ https://job-boards.greenhouse.io/elastic/jobs/7794016 United States 2026-04-18 b6cbb9f9-1e3 Sr. AI Engineer At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content.\n\nYou Are:\nAn experienced AI engineer skilled in solving complex problems and building scalable solutions. You boost productivity across teams with strong technical knowledge of Linux, Python, SQL, Machine learning, generative AI and tools like Github, Grafana, Kibana, Pycharm, and VS Code. You excel at collaborating with cross-functional teams to develop agentic workflows. Your analytical mindset allows you to identify bottlenecks, optimize product operations and implement agentic workflows for autonomous regression analysis. You are committed to continuous improvement, leveraging data insights to enhance system performance and reliability.\n\nWhat You’ll Be Doing:\n- Develop agentic workflows to enable autonomous tasks such as regression analysis and system monitoring.\n- Design, develop, troubleshoot, and debug software programs for enhancements and new product initiatives.\n- Re-design and develop existing applications to support scalable R&D productivity solutions and cloud readiness across Synopsys teams.\n- Troubleshoot, debug, and provide ongoing support for software tools used in emulation labs and internal hardware systems.\n- Develop and maintain software tools for efficient scheduling of jobs on internal hardware platforms.\n- Scale emulation lab operations through process improvements and advanced tooling, optimizing performance and reliability.\n- Run benchmark test cases, analyze test results data, and identify spurious or bottleneck test cases to enhance system efficiency.\n\nThe Impact You Will Have:\n- Accelerate R&D productivity by delivering scalable software solutions and automation tools across all Synopsys groups.\n- Enhance the efficiency of emulation lab operations, enabling faster innovation cycles and improved testing outcomes.\n- Reduce operational bottlenecks through insightful data analysis and targeted process improvements.\n- Empower IT and engineering teams with automated workflows, freeing up resources for strategic initiatives.\n- Contribute to the reliability and robustness of internal hardware systems, supporting the development of industry-leading silicon solutions.\n- Support the continuous evolution of software tools, maintaining Synopsys’ leadership in chip design and verification technology.\n\nWhat You’ll Need:\nThis position requires access to or use of information which is subject to export restrictions, including the International Traffic in Arms Regulations (ITAR). All applicants for this position must be "U.S. Persons" within the meaning of the ITAR. "U.S. Persons" include U.S. Citizens, U.S. Lawful Permanent Residents (i.e. 'Green Card Holders'), Political Asylees, Refugees or other protected individuals as defined by 8 U.S.C. 1324b(a)(3).\n- Requires 8+ years of related work experience plus master’s degree or equivalent.\n- Expertise in machine learning, developing agentic workflows.\n- Strong proficiency in Linux environments and production deployment processes.\n- Advanced skills in Python, SQL, and Bash scripting for software development and automation.\n- Expertise with ElasticSearch, LSF, Unix, Influx DB, and related technologies.\n- Familiarity with Github, Grafana, PostgreSQL, Kibana, Pycharm, and VS Code.\n\nWho You Are:\n- Innovative thinker with a proactive approach to problem solving.\n- Collaborative team player with strong communication and interpersonal skills.\n- Analytical and detail-oriented, able to interpret complex data and drive actionable insights.\n- Adaptable and open to learning new technologies and methodologies.\n- Committed to delivering high-quality results in fast-paced, dynamic environments.\n- Inclusive and supportive, fostering an environment where diverse perspectives are valued.\n\nThe Team You’ll Be A Part Of:\nYou’ll join a high-impact R&D engineering team focused on developing and enhancing software tools that drive Synopsys’ productivity and innovation. The team collaborates closely with IT, hardware, and cloud specialists to scale operations, automate workflows, and ensure seamless integration across all groups. Together, you’ll contribute to the future of silicon design, verification, and emulation, propelling Synopsys’ leadership in the industry.\n\nRewards and Benefits:\nWe offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.\n\nAt Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.\n\nIn addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request. The base salary range for this role is across the U.S.

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]]> full-time senior onsite $165000-$248000 machine learning, generative AI, Linux, Python, SQL, Github, Grafana, Kibana, Pycharm, VS Code, ElasticSearch, LSF, Unix, Influx DB Engineering Technology Synopsys https://logos.yubhub.co/careers.synopsys.com.png Synopsys develops and maintains software used in chip design, verification, and manufacturing. https://careers.synopsys.com https://careers.synopsys.com/job/sunnyvale/sr-ai-engineer/44408/91781667120 Sunnyvale 2026-04-05 ee2fcbdc-fc4 Principal Consultant - Data Architecture Principal Consultant - Data Architecture

You will act as a senior technical leader in complex data and analytics engagements, shaping and governing end-to-end enterprise data architectures, leading technical teams, and serving as a trusted technical advisor for clients and internal stakeholders.

About Your Role

As a Principal Data Architecture Consultant, you will be responsible for ensuring that enterprise data and analytics solutions are scalable, secure, and production-ready, while translating business requirements into robust technical designs and delivery roadmaps.

Your Role Will Include:

Define and govern target enterprise data, integration and analytics architectures across cloud and hybrid environments
Translate business objectives into scalable, secure, and compliant data solutions
Lead the design of end-to-end data solutions (ingestion, integration, storage, security, processing, analytics, AI enablement)
Guide delivery teams through implementation, rollout, and production readiness
Function as senior technical counterpart for client architects, IT leads, and engineering teams
Mentor data architects, system architects and engineers and contribute to best practices and reference architectures
Support pre-sales and solution design activities from a technical perspective

Requirements

5–8+ years of experience in enterprise data architecture, system data integration, data engineering, or analytics
Proven experience leading enterprise data architecture workstreams or technical teams
Strong client-facing experience in complex enterprise environments

Core Data & Analytics Technology Skills

Strong expertise in modern data architectures, including:
Data Mesh/ Data Fabric/ Data lake / data warehouse architectures
Modern Data Architecture design principles
Batch and streaming data integration patterns
Data Platform, DevOps, deployment and security architectures
Analytics and AI enablement architectures
Hands-on experience with cloud data platforms, e.g.:
Azure, AWS or GCP
Databricks, Snowflake, BigQuery, Azure Synapse / Microsoft Fabric
Strong SQL skills and experience with relational databases (e.g. Postgres, SQL Server, Oracle)
Experience with NoSQL databases (e.g. Cosmos DB, MongoDB, InfluxDB)
Solid understanding of API-based and event-driven architectures
Experience designing and governing enterprise data migration programmes, including mapping, transformation rules, data quality remediation etc.

Engineering & Platform Foundations

Experience with data pipelines, orchestration, and automation
Familiarity with CI/CD concepts and production-grade deployments
Understanding of distributed systems; Docker / Kubernetes is a plus

Data Management & Governance

Strong understanding of data management and governance principles, including:
Data quality, metadata, lineage, master data management
Data Management software and tools
Security, access control, and compliance considerations
Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience

Nice to Have

Exposure to advanced analytics, AI / ML or GenAI from an architectural perspective
Experience with streaming platforms (e.g. Kafka, Azure Event Hubs)
Hands-on Experience with data governance or metadata tools
Cloud, data, or architecture certifications

Language & Mobility

Very good English skills
Willingness to travel for project-related work

Benefits

Join our growing Data & Analytics practice and make a difference. In this practice you will be utilizing the most innovative technological solutions in modern data ecosystem. In this role you’ll be able to see your own ideas transform into breakthrough results in the areas of Data & Analytics Strategy, Data Management & Governance, Data Platforms & Engineering, Analytics & Data Science.

About Infosys Consulting

Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology. We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey.

Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. To learn more about Infosys Consulting and our values, please visit our careers page.

Within Europe, we are recognized as one of the UK’s top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. Infosys is on the Germany’s top employers list for 2023. Management Consulting Magazine named us on their list of Best Firms to Work for. Furthermore, Infosys has been recognized by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row.

We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. Curious to learn more? We’d love to hear from you.... Apply today!

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]]> full-time senior hybrid Data Mesh/ Data Fabric/ Data lake / data warehouse architectures, Modern Data Architecture design principles, Batch and streaming data integration patterns, Data Platform, DevOps, deployment and security architectures, Analytics and AI enablement architectures, Azure, AWS or GCP, Databricks, Snowflake, BigQuery, Azure Synapse / Microsoft Fabric, Postgres, SQL Server, Oracle, Cosmos DB, MongoDB, InfluxDB, API-based and event-driven architectures, Docker / Kubernetes, Advanced analytics, AI / ML or GenAI, Streaming platforms (e.g. Kafka, Azure Event Hubs), Data governance or metadata tools, Cloud, data, or architecture certifications Engineering Technology Infosys Consulting - Europe https://logos.yubhub.co/view.com.png Infosys Consulting - Europe is a globally renowned management consulting firm that works with market leading brands across sectors. The company is a mid-size player within the scale of Infosys, a top-5 powerhouse IT brand. https://jobs.workable.com https://jobs.workable.com/view/uuSzzCt8qNbo6UpEFkSyjY/hybrid-principal-consultant---data-architecture-in-london-at-infosys-consulting---europe London 2026-03-09 56dc9a51-e66 Principal Consultant - Data Architecture Principal Consultant - Data Architecture

You will be part of an entrepreneurial, high-growth environment of 300,000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset.

About Your Role

As a Principal Data Architecture Consultant, you will act as a senior technical leader in complex data and analytics engagements. You will shape and govern end-to-end enterprise data architectures, lead technical teams, and serve as a trusted technical advisor for clients and internal stakeholders.

Your Role Will Include:

Define and govern target enterprise data, integration and analytics architectures across cloud and hybrid environments
Translate business objectives into scalable, secure, and compliant data solutions
Lead the design of end-to-end data solutions (ingestion, integration, storage, security, processing, analytics, AI enablement)
Guide delivery teams through implementation, rollout, and production readiness
Function as senior technical counterpart for client architects, IT leads, and engineering teams
Mentor data architects, system architects and engineers and contribute to best practices and reference architectures
Support pre-sales and solution design activities from a technical perspective

Requirements

5–8+ years of experience in enterprise data architecture, system data integration, data engineering, or analytics
Proven experience leading enterprise data architecture workstreams or technical teams
Strong client-facing experience in complex enterprise environments

Core Data & Analytics Technology Skills

Strong expertise in modern data architectures, including:
Data Mesh/ Data Fabric/ Data lake / data warehouse architectures
Modern Data Architecture design principles
Batch and streaming data integration patterns
Data Platform, DevOps, deployment and security architectures
Analytics and AI enablement architectures
Hands-on experience with cloud data platforms, e.g.:
Azure, AWS or GCP
Databricks, Snowflake, BigQuery, Azure Synapse / Microsoft Fabric
Strong SQL skills and experience with relational databases (e.g. Postgres, SQL Server, Oracle)
Experience with NoSQL databases (e.g. Cosmos DB, MongoDB, InfluxDB)
Solid understanding of API-based and event-driven architectures
Experience designing and governing enterprise data migration programmes, including mapping, transformation rules, data quality remediation etc.

Engineering & Platform Foundations

Experience with data pipelines, orchestration, and automation
Familiarity with CI/CD concepts and production-grade deployments
Understanding of distributed systems; Docker / Kubernetes is a plus

Data Management & Governance

Strong understanding of data management and governance principles, including:
Data quality, metadata, lineage, master data management
Data Management software and tools
Security, access control, and compliance considerations
Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience

Nice to Have

Exposure to advanced analytics, AI / ML or GenAI from an architectural perspective
Experience with streaming platforms (e.g. Kafka, Azure Event Hubs)
Hands-on Experience with data governance or metadata tools
Cloud, data, or architecture certifications

Language & Mobility

Very good English skills
Willingness to travel for project-related work

Benefits

You will be utilizing the most innovative technological solutions in modern data ecosystem. In this role you’ll be able to see your own ideas transform into breakthrough results in the areas of Data & Analytics Strategy, Data Management & Governance, Data Platforms & Engineering, Analytics & Data Science.

About Infosys Consulting

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]]> full-time senior remote enterprise data architecture, system data integration, data engineering, analytics, modern data architectures, Data Mesh/ Data Fabric/ Data lake / data warehouse architectures, Modern Data Architecture design principles, Batch and streaming data integration patterns, Data Platform, DevOps, deployment and security architectures, Analytics and AI enablement architectures, cloud data platforms, Azure, AWS, GCP, Databricks, Snowflake, BigQuery, Azure Synapse / Microsoft Fabric, SQL, relational databases, Postgres, SQL Server, Oracle, NoSQL databases, Cosmos DB, MongoDB, InfluxDB, API-based and event-driven architectures, data migration programmes, data pipelines, orchestration, automation, CI/CD concepts, production-grade deployments, distributed systems, Docker, Kubernetes, data management and governance principles, data quality, metadata, lineage, master data management, data management software and tools, security, access control, compliance considerations, Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience, advanced analytics, AI / ML or GenAI, streaming platforms, Kafka, Azure Event Hubs, data governance or metadata tools, cloud, data, architecture certifications Engineering Technology Infosys Consulting - Europe https://logos.yubhub.co/view.com.png Infosys Consulting - Europe is a globally renowned management consulting firm that works with market leading brands across sectors. It is a mid-size player with a supportive, entrepreneurial spirit. https://jobs.workable.com https://jobs.workable.com/view/hpBWjvvy8D6B1f818cHxZR/remote-principal-consultant---data-architecture-in-poland-at-infosys-consulting---europe Poland 2026-03-09 fbb19758-f83 Principal Consultant Data Architecture (m/w/d) Are you looking to advance your career and work with experienced, talented colleagues to successfully solve the most significant challenges of our clients? We are growing further and seeking engaged individuals to strengthen our team. You will be part of a dynamic, strongly growing company with over 300,000 employees.

Our dynamic organisation allows you to work across themes and bring in your ideas, experiences, creativity, and goal orientation. Are you ready?

As a Principal Consultant Data Architecture, you will be the technical leader in complex data and analytics projects. You will design and be responsible for comprehensive enterprise data architectures, lead technical teams, and be a trusted technical advisor for customers and internal stakeholders.

You will ensure that enterprise data and analytics solutions are scalable, secure, and operational, translate technical requirements into robust technical images, and plan the introduction.

Your Tasks:

Definition and governance of target architectures for enterprise data, integration, and analytics in cloud and hybrid environments
Translation of business goals into scalable, secure, and compliant architectures
Leadership of the conception of comprehensive end-to-end data solutions (data intake, data integration, storage, security, processing, analytics, AI support)
Steering and accompanying delivery teams during implementation, rollout, and establishment of operational readiness
Senior technical contact person for architects, IT managers, and technical teams of customers
Mentoring of system and data architects as well as programmers
Participation in the further development of best practices and reference architectures
Support of presales and solution design activities from a technical perspective

What You Bring - Minimum Requirements

Experience & Seniority

At least 5 years of relevant professional experience in enterprise data architecture, data integration, data engineering, or analytics
Experience in leading enterprise data architecture workstreams or technical teams
Strong customer and advisory experience in complex enterprise environments

Core Data & Analytics Technology Skills

In-depth expertise in modern data architectures, particularly:

Data Mesh / Data Fabric / Data Lake / Data Warehouse Architectures
Principles of modern data architecture designs
Integration patterns for batch and streaming data
Data platform, DevOps, deployment, and security architectures
Analytics and AI enablement architectures

Practical experience with cloud data platforms, such as:

Azure, AWS, or GCP
Databricks, Snowflake, BigQuery, Azure Synapse / Microsoft Fabric

Very good SQL knowledge as well as experience with relational databases (e.g. PostgreSQL, SQL-Server, Oracle)
Experience with NoSQL databases (e.g. Cosmos DB, MongoDB, InfluxDB)
Good understanding of API-based and event-driven architectures
Experience in conceiving and steering enterprise data migration programs (including mapping, transformation rules, data quality measures, etc.)

Engineering & Platform Fundamentals

Experience with data pipelines, orchestration, and automation
Knowledge of CI/CD concepts and production-ready deployments
Understanding of distributed systems; Docker / Kubernetes knowledge is an advantage

Data Management & Governance

Very good understanding of data management and governance principles, particularly:

Data quality, metadata, lineage, master data management
Data management software and tools
Security, access, and compliance requirements

Bachelor's or master's degree in computer science, engineering, mathematics, or a related field, or equivalent practical experience

Nice to Have

Experience with advanced analytics, AI/ML, or GenAI from an architect's perspective
Experience with streaming platforms (e.g. Kafka, Azure Event Hubs)
Practical experience with data governance or metadata tools
Cloud or architecture certifications

Language & Mobility (Germany)

Fluent German skills (at least C1) for customer communication in the German-speaking market
Very good English skills
Project-related travel readiness

About Your Team

You will become part of our growing data and analytics teams. In this area, you will work with modern technologies in modern data ecosystems. You have the opportunity to turn your own ideas into results - in the areas of data and analytics strategy, data management and governance, data platforms and engineering, as well as analytics and data science.

About Infosys Consulting

You will become an employee of a globally renowned management consulting firm that is at the forefront of industry disruption. We work across industries with leading companies. Our culture is inclusive and entrepreneurial. As a mid-sized consulting firm embedded in the size of Infosys, we can support our customers worldwide and throughout the entire transformation process in a partnership-like manner.

Our values IC-LIFE - Inclusion, Equity & Diversity, Client, Leadership, Integrity, Fairness, and Excellence - form our compass of values. Further information can be found on our career website.

In Europe, we are awarded by the Financial Times and Forbes as one of the leading consulting firms. Infosys is one of the top employers in Germany 2023 and has been certified by the Top Employers Institute for outstanding working conditions in Europe for five years in a row.

We offer a market-leading remuneration, attractive additional benefits, as well as excellent further education and development opportunities. Have you become curious? Then we look forward to your application

More about Infosys Consulting - Europe

Visit website

Where Innovation meets Excellence.

Infosys Consulting is a globally renowned management consulting firm that is on the front-line of industry disruption. We are a mid-size player with a supportive, entrepreneurial spirit that works with a market-leading brand in every sector, while our parent organization Infosys is a top-5 powerhouse IT brand that is outperforming the market and experiencing rapid growth.

Our consulting business is annually recognized as one of the UK’s top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths we offer to our consultants. We are committed to fostering an inclusive work culture that inspires everyone to deliver their best.

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]]> full-time senior remote Data Mesh, Data Fabric, Data Lake, Data Warehouse Architectures, Principles of modern data architecture designs, Integration patterns for batch and streaming data, Data platform, DevOps, deployment, and security architectures, Analytics and AI enablement architectures, Azure, AWS, GCP, Databricks, Snowflake, BigQuery, Azure Synapse / Microsoft Fabric, PostgreSQL, SQL-Server, Oracle, Cosmos DB, MongoDB, InfluxDB, API-based and event-driven architectures, Enterprise data migration programs Engineering Technology Infosys Consulting - Europe https://logos.yubhub.co/view.com.png Infosys Consulting is a globally renowned management consulting firm that works with a market-leading brand in every sector, while its parent organization Infosys is a top-5 powerhouse IT brand. https://jobs.workable.com https://jobs.workable.com/view/sve4gTuNFLf3RtEjhQMzHp/remote-principal-consultant-data-architecture-(m%2Fw%2Fd)--deutschlandweit-in-munich-at-infosys-consulting---europe 2026-03-09