You will translate business and technical requirements into scalable, outcome-driven solutions built on the Elastic Stack. You will lead end-to-end delivery of customer engagements , from discovery and design through implementation, enablement, and optimisation. You will partner with customers to architect, deploy, and operationalise Elastic solutions that drive measurable value and adoption.

You will provide technical oversight, guidance, and enablement to customers and teammates throughout project lifecycles. You will collaborate cross-functionally with Sales, Product, Engineering, and Support to ensure successful outcomes and continuous improvement. You will capture and share best practices, lessons learned, and solution patterns across the Elastic Services community.

You will guide customers in using Elastic Agents, Beats, Logstash time-series data ingestion, stream processing, and normalisation, and related technologies. You will design and implement custom dashboards, visualisations, and alerting for critical observability use cases in Kibana. You will optimise ingestion pipelines for performance, scalability, and resiliency at enterprise scale.

You will have 5+ years as a consultant, architect, or engineer with expertise in observability, monitoring, or related domains. You will have strong experience with time-series data ingestion and processing, including pipelines with Elastic Agents, Beats, and Logstash. You will have knowledge of messaging queues (Kafka, Redis) and ingestion optimisation strategies.

You will have understanding of observability concepts like distributed tracing, metrics pipelines, log aggregation, anomaly detection, SLOs/SLIs. You will have experience with one or more: Kubernetes, cloud platforms (AWS, Azure, GCP), or infrastructure as code. You will have familiarity with Elastic Common Schema (ECS), data parsing, and normalisation.

You will have proven experience deploying Elastic Observability (APM, UEM, logs, metrics, infra, network monitoring) or similar solutions at enterprise scale. You will have hands-on expertise in distributed systems and large-scale infrastructure. You will have ability to design and build dashboards, visualisations, and alerting thresholds that drive actionable insights.

You will have experience with Kubernetes, Linux, Java, databases, Docker, AWS/Azure/GCP, VMs, Lucene. You will have strong communication and presentation skills, with experience engaging directly with customers. You will have a Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or related field, or equivalent experience.

You will be comfortable working in highly distributed teams, both remote and on-site when needed. You may require significant travel to customer sites to support engagements and solution implementations; candidates should be comfortable with varying levels of travel based on business needs.

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You'll collaborate with Elastic’s Professional Services, Engineering, Product, and Sales teams to accelerate adoption of the Elastic Observability platform, ensuring customers maximise the value of their data while achieving business outcomes. This is a highly impactful role, with opportunities to guide strategy, lead complex implementations, and mentor both customers and teammates.

Key responsibilities include:

• Translating business and technical requirements into scalable, outcome-driven solutions built on the Elastic Stack.
• Leading end-to-end delivery of customer engagements , from discovery and design through implementation, enablement, and optimisation.
• Partnering with customers to architect, deploy, and operationalise Elastic solutions that drive measurable value and adoption.
• Providing technical oversight, guidance, and enablement to customers and teammates throughout project lifecycles.
• Collaborating cross-functionally with Sales, Product, Engineering, and Support to ensure successful outcomes and continuous improvement.
• Capturing and sharing best practices, lessons learned, and solution patterns across the Elastic Services community.
• Contributing to internal enablement, mentoring, and a culture of continuous learning and collaboration

Required skills include:

• 5+ years as a consultant, architect, or engineer with expertise in observability, monitoring, or related domains.
• Expertise in the Telecommunications domain, especially with Mobile networks and devices.
• Strong experience with time-series data ingestion and processing, including pipelines with Elastic Agents, Beats, and Logstash.
• Knowledge of messaging queues (Kafka, Redis) and ingestion optimisation strategies.
• Understanding of observability concepts like distributed tracing, metrics pipelines, log aggregation, anomaly detection, SLOs/SLIs.
• Experience with one or more: Kubernetes, cloud platforms (AWS, Azure, GCP), or infrastructure as code.
• Familiarity with Elastic Common Schema (ECS), data parsing, and normalisation.
• Proven experience deploying Elastic Observability (APM, UEM, logs, metrics, infra, network monitoring) or similar solutions at enterprise scale.
• Hands-on expertise in distributed systems and large-scale infrastructure.
• Ability to design and build dashboards, visualisations, and alerting thresholds that drive actionable insights.
• Experience with Kubernetes, Linux, Java, databases, Docker, AWS/Azure/GCP, VMs, Lucene.
• Strong communication and presentation skills, with experience engaging directly with customers.
• Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or related field, or equivalent experience.
• Comfortable working in highly distributed teams, both remote and on-site when needed.
• May require significant travel to customer sites to support engagements and solution implementations; candidates should be comfortable with varying levels of travel based on business needs.

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Fuse Energy is seeking a Head of Engineering (Platform) to lead the development of our core backend systems and platform infrastructure. As a key member of our team, you will own the architecture and scalability of the platform, ensuring we build robust, high-performance systems that enable rapid product iteration and exceptional customer experiences.

Responsibilities

• Own the backend platform architecture, infrastructure, and foundational services
• Drive the evolution of our platform to support scale, performance, and reliability
• Build a real-time digital twin of renewable generation and customer demand
• Design and manage high-volume data pipelines for energy consumption and system telemetry
• Lead the development of integration layers and messaging interfaces with third-party services
• Establish engineering best practices for observability, CI/CD, testing, and scalability
• Partner closely with product and backend teams to support rapid development cycles

Requirements

• Proven track record as a senior software engineer or tech lead, ideally with platform/backend focus
• 5+ years experience in software engineering, with 2+ years in a leadership role
• Experience building and operating production-grade systems at scale
• Strong understanding of system design, distributed computing, and cloud infrastructure
• Clear and proactive communication, with the ability to align cross-functional teams
• Hands-on approach to solving problems and making strategic decisions

Bonus

• Experience with Infrastructure as Code (e.g., AWS CDK, Terraform)
• Experience with event-driven architecture, messaging queues, or stream processing
• Familiarity with building internal platforms or developer tooling

Benefits

• Competitive salary and an equity sign-on bonus
• Biannual bonus scheme
• Fully expensed tech to match your needs
• Paid annual leave
• Breakfast and dinner allowance for office based employees

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Microsoft AI are looking for a talented Senior Software Engineer at their Hyderabad office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

We are seeking a highly skilled and experienced backend Senior Software Engineer to join our Titan – data analysis and visualization platform team in Microsoft AI org. The ideal candidate will have a strong expertise in building reliable, distributed systems and a proven track record of building large scale data analysis platforms.

Accountabilities

• Own and deliver complete features, including design, architecture, implementation, testability, debugging, and shipping.
• Collaborate with Product Managers, Architects and stakeholders across geo.

The Candidate we're looking for

Experience:

• 8+ years of overall industry experience.

Technical skills:

• Proven experience with web technologies: React, Python etc.
• Experience in micro-services, NoSQL database, Messaging queues etc.

Personal attributes:

• Great problem solving and analytical skills.
• Well versed with DevOps practices.

Benefits

• Work arrangements: onsite.
• Health and wellbeing benefits.
• Professional development opportunities.
• Financial benefits: bonus, equity, pension, etc.
• Cultural perks: team events, office amenities, etc.

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